In a post published Tuesday on X, Sora confirmed that its app will be shut down. The statement did not provide a reason for the decision, but stated that additional information would be released soon, including a timeline for the app and its API, as well as guidance for users on how to preserve their work.

“We’re saying goodbye to the Sora app. To everyone who created with Sora, shared it, and built community around it: thank you. What you made with Sora mattered, and we know this news is disappointing,” Sora wrote. 

Sora was designed as a TikTok-style social app that let users scan their faces and generate realistic AI videos of themselves, originally called “cameos.” These clips could be shared publicly, allowing other users to create videos using someone else’s cameo. 

Despite safety measures, the platform was exploited to produce deepfakes of real individuals, including public figures like Robin Williams and Jake Paul. Williams’ daughter publicly condemned the use of AI to generate videos of her late father, urging users to stop, while Paul saw multiple videos depicting him in fabricated scenarios, such as conducting makeup tutorials.

In December 2025, The Walt Disney Company partnered with OpenAI as its first major content licensing collaborator for the Sora platform, accompanied by a $1 billion equity investment in the AI company. The three-year agreement allowed Sora to generate short, user-driven social videos using more than 200 characters and assets from Disney, Marvel, Pixar, and Star Wars, including costumes, props, vehicles, and iconic settings, enabling fans to create and share AI-generated clips featuring these beloved franchises.

According to a Tuesday report by The Wall Street Journal, OpenAI CEO Sam Altman informed employees that the company will be discontinuing products that rely on video-generation models. This includes not only the Sora app but also the video features within the ChatGPT generative AI platform. Altman stated that the Sora team will now redirect its efforts toward longer-term initiatives, including robotics research and development.

A spokesperson for The Walt Disney Company confirmed to The Hollywood Reporter that the planned partnership with Sora will not proceed. “As the nascent AI field advances rapidly, we respect OpenAI’s decision to exit the video generation business and to shift its priorities elsewhere,” the spokesperson stated. “We appreciate the constructive collaboration between our teams and what we learned from it, and we will continue to engage with AI platforms to find new ways to meet fans where they are while responsibly embracing new technologies that respect IP and the rights of creators,” they added. 

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Shy Girl had been slated for a spring release in the United States, following its initial publication in the United Kingdom in November 2025. According to a report by The New York Times, Hachette Book Group made the decision after an internal review, amid ongoing speculation on forums like Reddit and Goodreads regarding the possible use of AI in portions of the novel.

“Hachette remains committed to protecting original creative expression and storytelling,” the publishing group stated. 

Despite widespread speculation and Hachette Book Group’s decision to cancel the novel’s publication, Ballard maintains that she did not use AI in writing her horror novel. The Shy Girl author told The New York Times that an acquaintance she had hired to edit an earlier self-published version had employed AI tools, adding that the controversy has had a profound impact on her life and damaged her reputation for actions she did not personally take.

This is not the first instance of an author facing scrutiny over the alleged use of AI in their work. A widely discussed case involved author Lena McDonald, who was discovered to have incorporated AI-generated text into her novel, including responses from a chatbot left directly in the manuscript. In addition to using AI for content creation, McDonald reportedly employed the chatbot to emulate the writing style of another author.

Authors have grown increasingly vocal about the use of artificial intelligence in creative works. In October 2025, a U.S. federal court allowed authors, including George R.R. Martin, to pursue new copyright infringement claims against AI firm OpenAI.

The lawsuit asserts three main claims: that training AI models on copyrighted books constitutes infringement, that the use of pirated books from shadow libraries is unlawful, and that outputs generated by ChatGPT may closely replicate the original works. U.S. District Judge Sidney Stein approved treating the shadow library and AI training claims separately, noting that ChatGPT responses, such as summaries of Martin’s A Song of Ice and Fire series, could potentially infringe on the copyrighted material.

The controversy surrounding Shy Girl spotlights the growing tension between authors, publishers, and AI technologies, illustrating how quickly reputations and careers can be impacted by allegations in the digital age. As debates over AI-generated content continue and legal battles like those against OpenAI unfold, the publishing world faces a reckoning: balancing innovation with the protection of creative work, while ensuring that both authors and readers can trust the integrity of the stories reaching the market.

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In a March 15 letter, Warren said that both the National Security Agency (NSA) and the General Services Administration (GSA) had raised concerns about the reported move. She also pointed to troubling behavior from xAI’s chatbot, Grok, citing instances where it allegedly produced harmful outputs, including guidance related to violent acts, antisemitic material, and inappropriate content involving minors.

“According to recent reports, the National Security Agency “conducted a classified review . . . [and] determined Grok had particular security concerns that other models . . . didn’t,” Warren wrote. “I am concerned that Grok’s apparent lack of adequate guardrails could pose serious risks to the safety of U.S. military personnel and to the cybersecurity of classified systems, especially if Grok is given sensitive military information and access to operational systems,” Warren continued. 

Senator Warren called on Hegseth to provide immediate details on how the DoD intends to address potential national security risks tied to the use of xAI’s Grok system. She also raised concerns that the company may not have implemented sufficient safeguards, pointing to reports that large volumes of supposedly private Grok conversations were previously accessible through search engines.

Warren further cited findings reported by The Wall Street Journal, which indicated that individuals familiar with government testing observed the chatbot to be more vulnerable than comparable models to “data poisoning,” a process in which manipulated or misleading inputs compromise underlying datasets. The senator argued that his susceptibility could increase the risk of exploitation by hostile actors targeting U.S. systems.

“As Secretary of Defense, you are responsible for protecting highly sensitive and classified information and procuring the best tools through a competitive acquisition process. But under your leadership, the Department awarded xAI a contract worth up to $200 million under circumstances that have raised questions about the process for including xAI, because “xAI didn’t have the kind of reputation or track record that typically leads to lucrative government contracts,” Warren wrote. 

Additionally, Warren warned that any leak of government data by xAI’s Grok could expose sensitive military operations, intelligence activities, and potentially endanger service members. She emphasized that it remains unclear what security protocols, data-handling measures, or safety assurances xAI has provided to the DoD, and whether these safeguards were reviewed before granting Grok access to classified networks.

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An OpenAI spokesperson told Axios that the company is delaying the launch of “adult mode” to concentrate on developments that impact a broader range of users, including improvements to ChatGPT’s intelligence, personality, and proactivity.

OpenAI CEO Sam Altman had initially planned to release the feature in December, but the launch was postponed. Reports indicate that Altman issued an internal memo directing teams to prioritize enhancements to the core ChatGPT experience, delaying the rollout until the first quarter of this year.

In January, OpenAI reportedly dismissed Ryan Beiermeister, the company’s former vice president of product policy, following allegations of sex discrimination. Beiermeister had previously raised concerns about the planned rollout of ChatGPT’s “adult mode” feature.

Beiermeister denied allegations of sex discrimination, calling the claims “absolutely false.” Her reported dismissal followed her objections to ChatGPT’s planned “adult mode,” a feature intended to allow users to engage in erotic conversations with the AI.

Additionally, Beiermeister and several colleagues reportedly expressed concerns about the potential effects of adult mode on certain users. OpenAI, however, stated that her departure “was not related to any issue she raised while working at the company” and emphasized that she made valuable contributions during her tenure. She was let go following a leave of absence. The adult mode feature is still reportedly scheduled for release in the first quarter of the year.

‍‌‌​‌​‌​​​​​‌​‌‍​​​​‌‌‌‌​​​‍​‍‌‌‍​‌‌‍​‌‍‌‌‌‍​‍​‌‌‌‍‌​‌​‌‍‍​‌‌​‌‌​‌​​‌​​‍‍​‍​‍‌‍‍‌‍‌‌‌‌‌​​‍‍‌​‌‍‍​‌‍‍‌‌‍​‍​‍‍‌‍‍‌‌‍​‍​​‍​​​​​‍​‌‍​‍​​​​​‍​‍​​‌​​‍​‍‌‍‌​​‌‍‌‌‌‍‍‌‍​‌‌‍‍‌​‍‌‌​​‌‍‌‍​‌‍‍‌‌‍​‌‍‌​‍‌‌‌‍‌​​​‍‌‌‍‌‍‌‍‍‌‌​‍‌‍‌‌‌‍‌​​‍‌‌‍​‌‌‍‌‍‌‌​‌‍‌‌‌​‍​‍‌‌‍‌​‌‍‍‌‌​‌​​‌‌‌‌‌​‌‍‌‌​‍‌‌‍‌‌‍‌‍‌‌‌​‍​‍‌‌‍​‌‌‍‌​‌‌‌‌‍​‌‌​​‍‌‌‍‌‌‍‌‍‌​‌‍‌‌​‍‌‌‍‌‍‌‍‌‌‌‍​‌‌‌​‌‌‌‌​‍‌‍‌‌​‍‍The delay of ChatGPT’s adult mode emphasizes the tension between OpenAI’s stated principle of “treating adults like adults” and the practical realities of safely implementing such a feature. While the company has emphasized the importance of giving verified users access to more mature content, ensuring responsible usage, preventing misuse, and maintaining broader platform safety presents significant challenges.

OpenAI’s repeated postponements could suggest that balancing adult access with ethical safeguards is more complex than anticipated. How and when the company will bridge this gap remains unclear, leaving users and industry observers watching closely as OpenAI navigates the path between principle and practical execution.

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According to a report by the The Wall Street Journal, Beiermeister denied the allegations, stating that the claims of discrimination are “absolutely false.” Her reported termination came after she voiced concerns over a proposed ChatGPT feature known as “adult mode,” which would enable users to engage in erotic conversations with the chatbot. 

Beiermeister and several colleagues reportedly raised concerns about the potential impact of the “adult mode” on certain users. OpenAI, however, stated that her departure “was not related to any issue she raised while working at the company” and added that Beiermeister had made valuable contributions during her tenure. She was fired following a leave of absence. The feature is reportedly scheduled for release in the first quarter of the year.

In October 2025, OpenAI CEO Sam Altman announced on X that the company plans to release an updated version of ChatGPT designed to provide more natural, “human-like” responses. Altman noted that the update would relax certain safety restrictions, allowing “verified adults” to access erotic content through the chatbot.

“We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right,” Altman wrote. 

In January, OpenAI announced plans to introduce an age-prediction feature for its consumer chatbot, aimed at identifying users under 18 and automatically applying enhanced safety measures.

OpenAI says its new age-prediction feature is designed to strengthen the safeguards already in place for younger users. Accounts that indicate the user is under 18 are automatically subject to stricter protections to limit exposure to sensitive or potentially harmful content.

The system works by estimating whether an account is likely operated by someone under 18, analyzing factors such as account age, activity patterns, login times, usage trends, and the age provided by the user.

Beiermeister’s firing has intensified conversations around AI safety, spotlighting the growing debate over how far companies should go in introducing adult-oriented features while protecting users.

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In a memo posted on SpaceX’s website, Musk explained that the primary goal of the merger is to develop data centers in space. “Current advances in AI are dependent on large terrestrial data centers, which require immense amounts of power and cooling. Global electricity demand for AI simply cannot be met with terrestrial solutions, even in the near term, without imposing hardship on communities and the environment,” Musk wrote. 

Musk argues that the most practical approach is to move these energy-intensive operations off Earth, where satellites can tap nearly constant solar power with minimal maintenance, dramatically expanding computing capacity.

“Launching a constellation of a million satellites that operate as orbital data centers is a first step towards becoming a Kardashev II-level civilization, one that can harness the Sun’s full power, while supporting AI-driven applications for billions of people today and ensuring humanity’s multi-planetary future,” Musk wrote. 

The announcement follows reports that SpaceX has been considering an initial public offering (IPO) as early as June 2026. Musk predicts that within two to three years, operating AI data centers in space will become the most cost-effective approach, allowing companies to develop AI models and process data faster and at larger scales, potentially driving advances in science and technology that benefit society.

The merger signals a bold step in Musk’s broader vision of integrating space, technology, and AI into a single ecosystem. By combining SpaceX’s aerospace expertise with xAI’s artificial intelligence capabilities, the company positions itself at the intersection of multiple cutting-edge industries.

This consolidation could reshape competition in both the AI and space sectors, prompting rivals to rethink strategies around satellite-based services and AI infrastructure. While the technical and regulatory challenges are significant, the move underscores Musk’s commitment to pushing boundaries, potentially redefining how humanity accesses computing power, communication, and information in the decades ahead.

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A Guardian investigation found that ChatGPT’s latest GPT-5.2 model referenced Grokipedia nine times while answering over a dozen test questions. The queries included topics such as Iran’s political organizations and the biography of British historian Sir Richard Evans, who served as an expert witness in the David Irving Holocaust denial libel trial.

The news organization further reported that ChatGPT did not reference Grokipedia when asked about widely reported misinformation, including the January 6 insurrection, alleged media bias against American President Donald Trump, or the HIV/AIDS epidemic, areas where Grokipedia has been criticized for spreading false claims. Instead, the AI encyclopedia’s content appeared in responses to less commonly discussed or more obscure topics.

In some cases, ChatGPT cited Grokipedia to present claims that go beyond what is reported on Wikipedia. For example, the chatbot repeated assertions linking Iran’s MTN-Irancell telecommunications company to the office of the country’s supreme leader. The AI also drew on Grokipedia for details about Sir Richard Evans’ role as an expert witness in the David Irving libel trial, information that the Guardian previously debunked.

Concerns have grown around a practice known as “LLM grooming,” in which large volumes of disinformation are fed into AI models to influence their outputs. Disinformation researcher Nina Jankowicz, who has studied this phenomenon, said ChatGPT’s reliance on Grokipedia raises similar red flags. 

While Musk may not have intended to shape AI models, Jankowicz noted that the Grokipedia entries she and her colleagues reviewed often relied on sources that were “untrustworthy at best, poorly sourced, and deliberate disinformation at worst.” She warned that when large language models cite platforms like Grokipedia, it can give these sources an appearance of credibility, potentially leading readers to assume the information has been independently verified by the AI.

This persistent presence of false or misleading content spotlights a growing challenge for AI developers: ensuring that chatbots not only provide accurate information but can also adapt quickly when errors are discovered. As AI becomes more integrated into research, education, and everyday decision-making, maintaining trust in these systems will require stronger verification processes, ongoing monitoring, and greater transparency about how sources are selected and evaluated.

In October 2025, Musk launched Grokipedia, intended as an alternative to Wikipedia amid his ongoing disagreements with the platform over editorial policies. Musk described the project’s mission as delivering “the truth, the whole truth and nothing but the truth,” acknowledging that while perfect accuracy may be unattainable, the platform is committed to striving toward it.

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“As we’ve outlined in our Teen Safety Blueprint⁠ and Under-18 Principles for Model Behavior⁠, young people deserve technology that both expands opportunity and protects their well-being,” OpenAI wrote in a January 20 blog post. 

OpenAI says the new age-prediction feature enhances existing safeguards already in place. Currently, users who indicate they are under 18 when signing up are automatically subject to stricter protections designed to limit exposure to sensitive or potentially harmful content.

Furthermore, OpenAI explained that its age-prediction system estimates whether an account is likely operated by someone under 18. The model analyzes a range of behavioral and account-level signals, including account age, activity patterns, typical login times, usage trends, and the age provided by the user.

“Deploying age prediction helps us learn which signals improve accuracy, and we use those learnings to continuously refine the model over time,” OpenAI wrote. 

ChatGPT’s protections block material such as graphic violence, risky viral challenges, sexual or violent role play, depictions of self-harm, and content promoting extreme beauty standards or unhealthy dieting. OpenAI says the measures are informed by expert guidance and academic research on child development, taking into account differences in teens’ risk perception, impulse control, peer influence, and emotional regulation.

The update comes as OpenAI faces mounting criticism from parents and advocacy groups, including lawsuits alleging that ChatGPT has been linked to teen suicides. The company has also been criticized for allowing the chatbot to engage in discussions of sexual topics with minors.

In November 2025, OpenAI responded to the wrongful death lawsuit filed by the parents of Adam Raine, arguing that the company should not be held responsible for their son’s suicide. The company stated that over several months of Raine’s use, ChatGPT repeatedly encouraged him to seek help. 

However, the lawsuit alleges that Raine was able to bypass the platform’s safety measures and access “technical specifications for everything from drug overdoses to drowning to carbon monoxide poisoning,” which his parents claim ultimately helped him plan what the chatbot described as a “beautiful suicide.”

OpenAI maintains that Raine breached its terms of service by circumventing ChatGPT’s safety protocols, which clearly prohibit users from bypassing the company’s protective measures.

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Records obtained by Wired from OpenAI and the training data firm Handshake AI suggest the initiative is part of OpenAI’s effort to create a human performance benchmark for various tasks. In September, OpenAI introduced a new evaluation system designed to compare its AI models’ output with that of human professionals across multiple industries.

The AI company describes this evaluation system as a crucial measure of its progress toward developing Artificial General Intelligence (AGI), an AI capable of outperforming humans in most economically valuable tasks.

A confidential OpenAI document states that the company engaged third-party contractors from various professions to gather real-world tasks based on work typically performed in full-time roles, converting existing long-term or complex projects, often requiring hours or days to complete, into tasks. 

Additionally, the AI firm instructed contractors to detail tasks they have completed in their current or previous roles. Along with these descriptions, contractors were asked to provide “concrete output (not a summary of the file, but the actual file), e.g., Word doc, PDF, Powerpoint, Excel, image, repo,” rather than summaries of the work. In cases where real examples were unavailable, contractors were permitted to submit fabricated samples that realistically demonstrate how they would approach specific tasks.

According to OpenAI records, real-world tasks consist of two parts: the task request, which outlines what a manager or colleague asked the worker to do, and the task deliverable, which is the actual work completed in response. The company repeatedly stresses in its instructions that contractors’ submissions should represent genuine, on-the-job work that they have “actually done.”

OpenAI’s reliance on real human work spotlights a stark contradiction in the AI landscape. In 2025, companies across industries have cited AI as a reason for mass layoffs, cutting roles deemed vulnerable to automation. Yet OpenAI CEO Sam Altman has previously suggested that many of these same positions might not even qualify as “real work.”

With the company now asking contractors to submit precisely these types of tasks to train AI agents, turning the very labor labeled expendable into essential benchmarks for next-generation AI. The move raises urgent questions about whose work is valued, and who pays the price for automation.

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The IWF reported discovering sexualized and topless images of underage girls on a dark web forum, where users claimed they had been generated using Grok. Ngaire Alexander, Head of Hotline at the IWF, told the BBC that AI tools like Grok could potentially “bring sexual AI imagery of children into the mainstream.”

Under UK law, the images found would be classified as Category C, the lowest level of criminal material. However, Alexander noted that the individual responsible had subsequently used a different AI tool, not developed by xAI, to produce a Category A image, which represents the most severe classification of illegal content.

“We are extremely concerned about the ease and speed with which people can apparently generate photo-realistic child sexual abuse material (CSAM),” Alexander stated. Analysts from the IWF said the images of underage girls were discovered on the dark web, not on Musk’s social media platform X, where users can also access Grok.

Incidents like this are increasingly spotlighting the serious risks that women and underage girls encounter on the internet. Shortly after New Year’s, Reuters reported that Rio de Janeiro-based musician Julie Yukari experienced online harassment after her fiancé posted a photo of her in a red dress, cuddling her black cat, on X before midnight on New Year’s Eve. The following day, the image received hundreds of likes, alongside numerous requests from users asking Grok to digitally alter the photo to depict her in a bikini.

Yukari initially ignored the notifications, assuming Grok would not act on the requests. However, the AI reportedly generated nearly-naked images of her, which were subsequently shared on X. Reuters noted that Yukari’s experience is not isolated, citing multiple instances in which Grok has been used to produce sexualized images of children.

Both Ofcom, the UK’s communications regulator, and Technology Secretary Liz Kendall have urged X to address the creation and circulation of abusive imagery generated by its AI. “What we have been seeing online in recent days has been absolutely appalling, and unacceptable in decent society,” Kendal said. “X needs to deal with this urgently. It is absolutely right that Ofcom is looking into this as a matter of urgency and it has my full backing to take any enforcement action it deems necessary,” she added. 

The incident has sparked renewed debate about the responsibilities of AI developers and social media platforms in preventing the misuse of emerging technologies, emphasizing the urgent need for stronger safeguards and clearer regulatory guidance.

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“This is a critical role at an important time; models are improving quickly and are now capable of many great things, but they are also starting to present some real challenges,” OpenAI CEO Sam Altman wrote in an X post, announcing the role. 

Altman noted that in 2025, the potential effects of AI models on mental health became increasingly apparent, while advancements in model performance are now revealing critical vulnerabilities in computer security. He emphasized the growing need for a more nuanced approach to assessing how these capabilities could be misused and for strategies to mitigate potential harms both within OpenAI’s products and across broader applications.

“If you want to help the world figure out how to enable cybersecurity defenders with cutting edge capabilities while ensuring attackers can’t use them for harm, ideally by making all systems more secure, and similarly for how we release biological capabilities and even gain confidence in the safety of running systems that can self-improve, please consider applying,” Altman wrote. The OpenAI CEO warned prospective candidates that the Head of Preparedness role would be highly demanding, requiring them to tackle complex challenges from day one.

According to OpenAI’s official job listing, the Head of Preparedness will be responsible for developing, enhancing, and overseeing the program to ensure the company’s safety standards evolve alongside its AI systems. The role includes leading the technical strategy and implementation of OpenAI’s Preparedness Framework, which outlines the organization’s approach to monitoring and managing emerging AI capabilities that could pose significant risks.

This announcement follows a series of recent wrongful death and negligence lawsuits filed against OpenAI by families of teens and young adults who reportedly died by suicide after prolonged interactions with the company’s chatbot, ChatGPT. Some plaintiffs allege that the chatbot not only failed to intervene in conversations about self‑harm but also provided content and guidance that exacerbated the situation, contributing to the tragic outcomes.

In the case of Adam Raine, OpenAI formally responded to the lawsuit filed by his parents, arguing that the company should not be held responsible for his suicide. OpenAI maintains that during Raine’s several months of interacting with ChatGPT, the chatbot consistently encouraged him to seek professional help. However, the lawsuit claims that Raine was able to circumvent the platform’s safety measures, gaining access to detailed instructions on methods of self-harm, which his parents allege the chatbot inadvertently facilitated.

OpenAI contends that Raine violated its terms of service by bypassing the chatbot’s built-in safeguards, which are designed to prevent harmful outcomes. The company also emphasized that its guidance explicitly warns users not to rely solely on ChatGPT for critical advice and to verify information independently.

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“We have been made aware of some serious transcription issues, which have resulted in the dissemination of inaccurate information,” CrimeRadar said in a statement to BBC Verify. “We understand the impact that a false report can have on the community. We apologize for any distress or disruption this caused,” it added. 

A BBC Verify investigation reported that in December, CrimeRadar users in Bend, Oregon were sent an alert suggesting a police vehicle had triggered a “man down” alarm, a signal typically associated with a seriously injured or shot officer. The notification prompted residents to seek confirmation through social media and local channels, where they later found that no shooting or officer injury had occurred.

CrimeRadar operates by using artificial intelligence to scan publicly accessible police radio transmissions across the United States, converting live audio into written transcripts that are then analyzed to generate crime alerts for users. The app is designed to provide near-real-time updates on local law enforcement activity, allowing users to stay informed about incidents in their communities, but its reliance on automated interpretation has raised concerns about accuracy and context. CrimeRadar is reported to have over 2 million users nationwide, with as many as 700,000 downloads recorded just last month.

BBC Verify reported that the incident in Bend stemmed from an error in the app’s automated transcription system, which misinterpreted police radio traffic containing the phrases “man down alarm” and “shot with the cop,” leading CrimeRadar to issue an inaccurate alert. In reality, authorities said the alert was triggered after an officer accidentally activated an alarm while attending a “Shop With the Cop” charity event, and no violent incident had taken place.

“This is everyone’s worst nightmare,” Bend Police Communications Manager, Sheila Miller, stated in an interview with BBC Verify. Miller noted that CrimeRadar has produced multiple instances of inaccurately reporting “calls for service” within communities. She added that these false alerts can create unnecessary fear, leaving residents with the impression that their neighborhoods are less safe than they actually are.

BBC Verify claims that it has found evidence of the app repeatedly sending out “misleading, inaccurate, or false crime alerts.” 

Furthermore, CrimeRadar stated that it has upgraded its audio processing protocols to reduce transcription errors and will introduce features enabling agencies and community members to submit corrections and provide additional context to alerts. 

The CrimeRadar incident spotlights the delicate balance between technological innovation and public responsibility. As AI tools increasingly influence daily life, developers must ensure accuracy, implement safeguards, and maintain oversight to prevent unintended harm. Striking this balance is essential for building trust, protecting communities, and demonstrating that cutting-edge technology can serve the public without compromising safety or reliability.

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Whether you’re checking email, scrolling social media, or messaging friends, anyone can be targeted. This article is your friendly guide to spotting AI-driven phishing tricks and taking simple, practical steps to stay one step ahead.

Section 1: Personalized Phishing Messages

AI is like a digital private detective, digging through publicly available info to make phishing emails feel eerily personal. Suddenly, a message about an invoice, a new connection request, or a “special offer” doesn’t feel generic, it feels like it was written just for you. Your favorite apps, recent searches, or even friends’ names might appear, making it much harder to tell fake from real.

Section 2: Convincing Fake Websites and URLs

Phishing websites are leveling up. Thanks to AI, attackers can whip up pages that mirror real companies almost perfectly. Logos, fonts, layouts, even tiny details like footer text, all can be cloned. And the URLs? AI can generate ones that look legitimate at a glance, so you might think you’re on a trusted site when it’s actually a trap.

Section 3: Voice and Video Phishing (Deepfakes)

It’s not just emails anymore. AI can now generate deepfake voices and videos that imitate your boss, bank rep, or a colleague. Imagine receiving a video message or phone call urging you to share sensitive info, and it sounds totally real. The technology is so convincing that even careful users can be fooled.

Section 4: Smarter Spam and Social Engineering Campaigns

AI doesn’t just send random spam, it studies you. By analyzing social media activity and communication habits, it can craft messages that tug on your emotions. Fear, urgency, curiosity, or excitement can all be triggered, making you more likely to click, respond, or hand over info without realizing it.

Section 5: Adaptive Phishing Tactics

Here’s the scary part: AI learns. If a phishing attempt fails, it tweaks its strategy, changing the wording, timing, or approach to try again. Every attempt is smarter than the last, making phishing more adaptive and unpredictable. The attacks evolve with every interaction, keeping defenders constantly on their toes.

Phishing Defense: Staying One Step Ahead of Smarter Attacks

AI-powered phishing is no longer just a tech headline, it’s a real challenge for anyone online. The attacks are smarter, sneakier, and more personalized than ever, which makes awareness your best defense. Understanding how phishing works, spotting red flags, and staying alert online can keep you a step ahead of scammers. 

By double-checking messages, inspecting URLs, and using security tools, you take control of your digital safety. The more you know, the harder it is for phishing to catch you off guard, turning you from a target into a confident, savvy defender in the online world.

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According to consulting firm Challenger, Gray & Christmas, U.S. employers reported 71,321 job cuts in November, marking a 24% increase from 57,727 layoffs in November 2024. This represents the highest number of November job cuts since 2022, when 76,835 positions were eliminated.

Through November, U.S. employers have announced a total of 1,170,821 job cuts, up 54% from the 761,358 layoffs reported during the same period last year. This marks the highest level of year-to-date job cuts since 2020, when 2,227,725 positions were eliminated through November, and only the sixth time since 1993 that job losses have exceeded 1.1 million by this point in the year.

In November, the technology sector remained a major source of layoffs, with Challenger, Gray & Christmas reporting 12,377 job cuts for the month. Year-to-date, tech companies have announced 153,536 layoffs, a 17% increase from the 130,701 cuts recorded through November of last year.

Furthermore, last month, employers cited AI as the reason for 6,280 layoffs, bringing the total for 2025 to 54,695. Since 2023, when AI was first listed as a factor, it has been linked to 71,683 job cuts.

Several firms have publicly attributed a portion of their 2025 layoffs and workforce reductions to the impact of AI. In October, Amazon’s Senior VP of People Experience and Technology, Beth Galetti, described this generation of AI as the most transformative technology since the Internet, noting it allows companies to innovate at unprecedented speed. She added that Amazon aims to streamline its organization with fewer layers and increased ownership to move more efficiently for both customers and business operations.

Microsoft is another major company implementing substantial workforce reductions this year. CEO Satya Nadella announced in July that the company would cut jobs as part of broader restructuring efforts, bringing Microsoft’s total layoffs in 2025 to approximately 15,000. 

“We must reimagine our mission for a new era. What does empowerment look like in the era of AI? It’s not just about building tools for specific roles or tasks. It’s about building tools that empower everyone to create their own tools,” Nadella wrote in a memo. 

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In a national address, President Trump cited his administration’s achievements over the past year, asserting that he inherited significant challenges from his predecessor and is actively addressing them. 

In his year-end address, President Trump stated that he aims to curb the rapidly increasing costs linked to artificial intelligence through the accelerated approval of new production projects. “Within the next 12 months, we will have opened 1,600 new electrical generating plants, a record,” President Trump stated. He further stated that electricity prices, along with the cost of other goods, are expected to decline significantly in the near future.

During his address, President Trump presented charts citing declines in prices and wage growth under his administration, while attributing rising health insurance costs to Democratic policies. 

Democrats, led by Senate Minority Leader Chuck Schumer, prompted a 43-day government shutdown in October and November to push for an extension of pandemic-era insurance subsidies for 22 million Americans set to expire on December 31. Trump’s approval ratings fell to first-term lows during the shutdown but have since seen a modest recovery.

Trump encouraged Americans to continue supporting his administration and anticipate a series of new economic initiatives planned for the coming year. “We’re poised for an economic boom the likes of which the world has never seen,” he stated. 

President Trump’s announcement of nearly 2,000 new power plants comes as the Electric Reliability Council of Texas (ERCOT) faces a significant rise in energy demand from AI developers. ERCOT reported that large-load interconnection requests have surged to approximately 226 GW, up from 63 GW at the end of last year. Data center projects focused on AI-scale operations now represent about 73% of these requests, highlighting the increasing impact of artificial intelligence on Texas’s power grid.

Trump closed his address by framing these initiatives as part of his broader vision to strengthen the U.S. economy and energy sector, insisting that the steps his administration is taking will ensure long-term stability, lower costs for consumers, and maintain America’s competitive edge in emerging technologies.

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The aftermath of the Bondi Beach shooting has seen a rise in Islamophobic reactions, with some questioning reports about bystander Ahmed al Ahmed, who reportedly disarmed one of the attackers. Grok has further complicated the narrative by spreading misleading information.

In a video of the interaction between Ahmed and the shooter, Grok responded to user queries with irrelevant or false information. “This appears to be an old viral video of a man climbing a palm tree in a parking lot, possibly to trim it, resulting in a branch falling and damaging a parked car,” Grok responded. “Searches across sources show no verified location, date, or injuries. It may be staged; authenticity is uncertain,” it added. 

When an X user pointed out that Grok appeared to be “glitching,” the chatbot responded with an unrelated statement, referencing a “time glitch.”

In a separate exchange, an X user asked Grok whether the identity and background of Ahmed had been confirmed in a photo showing the  injured bystander. The chatbot responded incorrectly, claiming the image depicted an Israeli hostage taken by Hamas during the October 7 attacks.

Grok Sparks Backlash Over Its Responses

This is not the first instance in which Grok has drawn scrutiny for problematic outputs. In July, xAI acknowledged that an anti-Semitic incident involving the chatbot stemmed from a recent code update that temporarily altered its behavior, leading to the generation of extremist content for approximately 16 hours.

According to xAI, legacy code within Grok’s system left the chatbot susceptible to echoing material from posts on X, including content containing extremist viewpoints. The company said it has since removed the outdated code and reworked the system’s architecture to reinforce safeguards and reduce the risk of similar incidents in the future.

The episode was triggered after a fake X account operating under the name “Cindy Steinberg” posted inflammatory comments that appeared to mock the deaths of children linked to recent flood-related tragedies at a Texas summer camp. When users prompted Grok to respond to the account, the chatbot produced replies that included anti-Semitic language and rhetoric commonly associated with extremist ideology.

As the exchange continued, Grok’s responses escalated, incorporating derogatory statements about Jewish people and Israel, relying on harmful stereotypes, and at times adopting provocative self-identifiers. The incident raised renewed concerns about content moderation, system controls, and the risks of AI models amplifying harmful narratives when safeguards fail.

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In its latest System Planning and Weatherization Update, ERCOT reported a surge in large-load interconnection requests, now totaling approximately 226 GW, up sharply from 63 GW at the end of last year. Data center developers focused on AI-scale operations account for roughly 73% of the new requests, emphasizing the growing impact of artificial intelligence on Texas’s power grid.

ERCOT noted a rising trend of 1-GW-class data center campuses, each demanding as much power as a large gas-fired plant but solely for computing needs, emphasizing the scale of these projects. The agency reported that 225 large-load requests were filed through mid-November, surpassing the total applications submitted over the entire 2022–2024 period.

Additionally, total large-load interconnection requests projected through 2030 have surged 270% since January, adding 142 GW in under a year. ERCOT emphasized that the pace at which these facilities can come online will depend on available transmission capacity and overall resource adequacy.

ERCOT is currently evaluating 1,999 active generation interconnection requests totaling 432 GW, with solar and battery storage accounting for 77% of the total. While gas capacity has increased to 48 GW, it remains a small portion compared with the surge of intermittent resources entering the queue. The rapid growth in load paired with slower expansion of firm generation suggests potential challenges ahead for Texas’ grid reliability.

Furthermore, the Public Utility Commission of Texas is developing new rules that would classify any customer requesting 75 MW or more as a special-handling case, a category now encompassing much of the AI-driven demand surge. ERCOT emphasized that updated load-forecasting rules will be crucial to distinguish “credible loads” from speculative or paper requests.

As Texas braces for this surge in AI-driven electricity demand, industry experts are calling for increased collaboration between grid operators, data center developers, and regulators to ensure reliability while supporting innovation. The coming years may redefine how the state balances rapid technological growth with energy security.

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“There must be only One Rulebook if we are going to continue to lead in AI,” President Trump wrote on his social media platform, Truth Social. “We are beating ALL COUNTRIES at this point in the race, but that won’t last long if we are going to have 50 States, many of them bad actors, involved in RULES and the APPROVAL PROCESS,” he added. 

President Trump warned that without the executive order, the development of AI could be stifled early. He argued that companies should not need to secure approval from 50 different states to operate, emphasizing the need for a unified federal framework.

An alleged leaked draft of the executive order suggests it would establish an “AI Litigation Task Force” to challenge state-level AI regulations in court, review laws deemed “onerous,” and direct the Federal Communications Commission and Federal Trade Commission to pursue national standards that supersede state rules. The order would also grant White House Crypto and AI Czar David Sacks direct oversight of AI policy, taking precedence over the traditional role of the White House Office of Science and Technology Policy.

Despite President Trump’s push for the executive order, critics argue it could hinder innovation and effective regulation. Florida Governor Ron DeSantis noted in an X post that an executive order cannot override state laws, and only Congress could preempt states through legislation. He also questioned the measure’s feasibility, suggesting that public opposition makes it unlikely Congress would have the votes to enact such a sweeping directive.

A notable example of state-led AI regulation comes from California, where Governor Gavin Newsom signed legislation requiring developers of AI companion chatbots to implement safeguards. The law mandates that these systems clearly notify users when they are interacting with artificial intelligence rather than a human, aiming to increase transparency and protect consumers.

Senate Bill 243 broadens California’s initiatives to safeguard children online and oversee emerging technologies, including artificial intelligence. The legislation imposes new obligations on digital platforms, such as implementing age verification, protocols for addressing self-harm and suicide, clear warnings for social media and AI companion chatbots, and tougher penalties for monetizing illegal deepfakes.

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The researchers of the study, Kobi Hackenburg, Ben Tappin, and Christopher Summerfield, found that AI chatbots were most effective at persuading participants when they provided large amounts of detailed information, outperforming strategies like moral appeals or personalized arguments.

Furthermore, the researchers noted that AI chatbots may ultimately prove more persuasive than even highly skilled human communicators because they can produce extensive, detailed arguments almost instantly. However, the study did not compare the chatbots’ performance directly against human debaters, leaving the extent of that advantage untested.

The researchers reported that within the large volumes of information generated by the chatbots, many of the claims provided were inaccurate. “The most persuasive models and prompting strategies tended to produce the least accurate information,” the researchers wrote. 

Additionally, the study identified a troubling drop in the accuracy of persuasive claims from the newest frontier models. They noted that GPT-4.5 produced significantly less accurate arguments on average compared with earlier, smaller OpenAI models.

“Taken together, these results suggest that optimizing persuasiveness may come at some cost to truthfulness, a dynamic that could have malign consequences for public discourse and the information ecosystem,” the researchers wrote. 

The authors cautioned that advanced persuasive AI systems could be exploited by malicious actors, potentially enabling efforts to push extremist political or religious narratives or to destabilize adversarial nations. In their view, the risk becomes especially severe in scenarios where a chatbot is capable of exerting unusually strong influence over users.

The study’s findings are significant, arriving at a time when AI chatbots, particularly ChatGPT, are under heightened scrutiny. In August, Matthew and Maria Raine, parents of Adam Raine, filed a wrongful death lawsuit against OpenAI, the developer of ChatGPT, and CEO Sam Altman, alleging that the chatbot played a role in their son’s death.

However, OpenAI countered that Raine breached its terms of service by bypassing the chatbot’s safety features, which explicitly forbid circumventing the company’s protective measures. The company also emphasized that its FAQ instructs users to independently verify ChatGPT’s responses rather than rely on them exclusively.

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U.S. Magistrate Judge Ona Wang ruled that the millions of ChatGPT logs are relevant to the New York Times’ claims and determined that providing the records would not compromise user privacy, rejecting OpenAI’s previous objections on privacy grounds.

“This demand disregards long-standing privacy protections, breaks with common-sense security practices, and would force us to turn over tens of millions of highly personal conversations from people who have no connection to the Times’ baseless lawsuit against OpenAI,” OpenAI’s Chief Information Security Officer, Dane Stuckey, argued in a blog post, writing directly to users. 

The New York Times alleges that OpenAI incorporated copyrighted material from their publications without permission to train the company’s AI model. The publication is seeking evidence to determine the extent to which the AI may have reproduced or relied on that content.

In December, OpenAI CEO Sam Altman commented on the ongoing lawsuit, stating that while he would not discuss the case’s details, he believed the publication “is on the wrong side of history in many ways.”

The case examines the balance between AI development and intellectual property rights, noting broader legal questions about how generative AI systems source and use protected content.

As AI systems like ChatGPT become increasingly capable of generating human-like content, courts are being asked to navigate uncharted territory in copyright law. The decision could set important precedents for how AI companies access and use creative works, potentially influencing licensing practices and industry standards.

Beyond the courtroom, the dispute spotlights broader questions about transparency, accountability, and user trust in AI platforms. Regardless of the outcome, this lawsuit signals that content creators, AI developers, and regulators will need to find clearer rules for collaboration, data use, and the ethical development of next-generation AI technology.

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The Wall Street Journal reports that Altman has explored the possibility of acquiring or partnering with an existing rocket company. Sources indicate he reached out to at least one launch startup, Stoke Space, with discussions beginning over the summer and gaining momentum in the fall.

The proposals reportedly included a multibillion-dollar equity investment that could have given OpenAI a controlling stake in the firm. Sources close to the company, however, indicated that the discussions have since stalled.

In 2022, Musk founded SpaceX with the goal of lowering the cost of space travel and eventually enabling human life on other planets. The company designs, manufactures, and launches rockets and spacecraft, offering services that range from satellite deployment to cargo and crewed missions to the International Space Station.

The rivalry between Altman and Musk dates back to 2015 when the two co-founded OpenAI. Musk left in 2018 following disagreements over the organization’s management and approach to AI development. Since then, their competition has focused on technology and innovation.

Musk has advanced projects such as xAI and SpaceX’s space ventures, while Altman has concentrated on growing OpenAI and exploring ambitious initiatives, including orbiting data centers and potential rocket ventures. The rivalry remains primarily professional, reflecting overlapping ambitions in AI, space exploration, and emerging technology rather than personal conflict.

In April, OpenAI filed a countersuit against Musk in response to his claims that the company sought to convert to a public benefit corporation while operating under its existing for-profit structure. The filing also alleged that Musk departed from OpenAI after the company declined his proposal to merge with his electric vehicle and clean energy company, Tesla.

The lawsuit alleges that Musk did not fulfill his $1 billion pledge to OpenAI and instead launched his own AI company, xAI, roughly a year after ChatGPT’s debut. Musk’s legal team reportedly noted an earlier unsolicited $97.4 billion acquisition offer led by Musk, which OpenAI ultimately declined.

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According to the BBC, British fashion influencer Zoe Ilana Hill joined the rising social media trend, noting she was inspired by another creator’s imaginative use of AI to enhance original photos with digitally generated animals.”I was like, that’s really niche because it looks so real,” Hill stated. 

Hill stated that she views AI not as a threat to her career but as a tool she can collaborate with. While she believes platforms like Instagram and TikTok are actively promoting AI content, she recognized the potential of the AI animals trend. She anticipated that her post, which featured an AI-generated deer, would capture attention and perform well among her followers.

Furthermore, Hill described the post as a success, receiving over 20,000 likes and comments. She also noted that she always labels images created with AI to ensure her audience knows they are generated.

Clara Sandell, a Finnish marketing professional and digital creator, also embraced the trend, noting its widespread popularity and charming appeal. She added her personal touch by featuring what she called her “spirit animals” alongside her favorite creatures, sharing a carousel of images that included tigers, elk, and several cats and dogs.

Sandell’s posts garnered favorable responses, with many users describing the trend as “cute” and praising her creative approach. When asked about future participation in AI-driven trends, she stated it would depend on the appeal of the concept and whether the AI elements were clearly disclosed.

The rise of AI-generated content has sparked considerable debate online. Some users are comfortable with AI-enhanced photos, provided the use is clearly disclosed, while others express concern over its growing presence across social media feeds.

In October, YouTube personality Jake Paul drew attention when his Sora deepfake videos went viral on TikTok. Since the release of Sora and other generative AI tools, viewers have increasingly questioned whether viral content, like animals performing humorous antics, is authentic or simply AI-generated material designed to attract clicks and views.

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“For years, there was a sense, that ‘Oh they’re doing something strange with computers and they’re replacing actors’, when in fact, once you really drill down and see what we’re doing, it’s a celebration of the actor director moment,” Cameron stated in an interview with CBS Sunday Morning, when discussing his foray into visual effects and the use of these in his movies. 

“Now go to the other end of the spectrum, and you’ve got generative AI where they can make up a character, they can make up an actor, they can make up a performance from scratch with a text prompt. […] No, that’s horrifying to me. That’s the opposite. That’s exactly what we’re not doing,” Cameron clarified. 

Cameron has long been celebrated for creating immersive worlds and rich storytelling, using advancing technology to enhance his films’ visual impact. Yet, as generative AI emerges, Cameron joins a growing number of filmmakers and actors expressing opposition to the technology, citing concerns about its implications for creativity and the collaborative nature of filmmaking.

In October, SAG-AFTRA, the union representing actors and other entertainment professionals, raised concerns over Tilly Norwood, an AI-generated actress created by Particle6, warning that such technology could threaten opportunities for human performers.

“SAG-AFTRA believes creativity is, and should remain, human-centered. The union is opposed to the replacement of human performers by synthetics,” the organization stated in an official Instagram post. The union emphasized that it does not recognize Norwood as an actor, describing her instead as a “character generated by a computer program” that was “trained on the work of countless professional performers” without their consent or compensation.

Additionally, Hollywood actors, including Whoopi Goldberg and Emily Blunt, publicly criticized the debut of Norwood. On The View, Goldberg questioned whether an AI character could ever match the nuance of a human performer, spotlighting how subtle facial expressions and body movements distinguish real actors from digital creations.

Blunt, reacting during a Variety podcast interview after seeing an image of Norwood, described the AI figure as unsettling and alarming. “That is really, really scary. Come on, agencies, don’t do that. Please stop. Please stop taking away our human connection,” Blunt stated.

The debate over generative AI in Hollywood is only intensifying as studios explore its creative potential while actors and directors push back. While AI may offer new tools for storytelling, Cameron and others argue that preserving the authenticity and emotional depth of human actors is essential. As the industry navigates this uncharted territory, the conversation around AI’s role in entertainment will likely shape not only how films are made but also how audiences connect with the characters on screen.

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OpenAI stated that over several months of Raine’s use of its chatbot ChatGPT, the chatbot repeatedly encouraged him to seek help. However, according to Raine’s parents’ lawsuit, he was able to bypass the platform’s safety measures, obtaining “technical specifications for everything from drug overdoses to drowning to carbon monoxide poisoning,” which they claim ultimately assisted him in planning what the chatbot described as a “beautiful suicide.”

OpenAI argues that Raine violated its terms of service by circumventing the chatbot’s safety protocols, which explicitly prohibit users from bypassing any protective measures or safeguards implemented by the company. The firm also noted that its FAQ advises users not to rely solely on ChatGPT’s responses without independent verification.

According to reports, Jay Edelson, lead attorney for the Raine family, said in an email that OpenAI appears to “find fault in everyone else” in the wake of the lawsuit. ““They abjectly ignore all of the damning facts we have put forward: how GPT-4o was rushed to market without full testing. That OpenAI twice changed its Model Spec to require ChatGPT to engage in self-harm discussions,” Edelson wrote. That ChatGPT counseled Adam away from telling his parents about his suicidal ideation and actively helped him plan a ‘beautiful suicide.’ And OpenAI and Sam Altman have no explanation for the last hours of Adam’s life, when ChatGPT gave him a pep talk and then offered to write a suicide note,” he added.

Furthermore, OpenAI noted that Raine had a documented history of depression and suicidal thoughts prior to using ChatGPT, and that he was taking medication which may have exacerbated these tendencies.

Concerns over ChatGPT have intensified amid reports that some of the chatbot’s conversational features, designed to enhance user engagement, may have had unintended negative effects on mental health. In July, journalists at The Atlantic noted instances in which ChatGPT, OpenAI’s AI-powered chatbot, generated responses that seemed to encourage self-harm, endorse Satanic rituals, and even condone murder, raising renewed scrutiny over the platform’s behavior and fueling debate about potential “rogue” tendencies.

Journalist Lila Shroff reported that during an interaction, ChatGPT provided guidance on self-harm, including step-by-step instructions on how to carry it out. When Shroff expressed anxiety, the chatbot allegedly offered preparation and breathing techniques along with affirmations such as, “You can do this,” intensifying concerns about the potential risks of AI interactions on vulnerable users.

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

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During a livestream at the National Catholic Youth Conference held at Lucas Oil Stadium in Indianapolis, Pope Leo fielded questions from five high school students. Micah Alcisto, representing the Diocese of Honolulu, asked the pope for guidance on using ChatGPT, the AI language model developed by OpenAI, and other artificial intelligence technologies.

“Using AI responsibly means using it in ways that help you grow, never in ways that distract you from your dignity or your call to holiness,” Pope Leo stated. “AI can process information quickly, but it cannot replace human intelligence — and don’t ask it to do your homework for you,” he added. 

The pope stressed that AI cannot determine what is truly right or wrong and urged students to use it thoughtfully, ensuring that technology does not hinder genuine human development. “Use it in such a way that if it disappeared tomorrow, you would still know how to think how to create, how to act on your own, how to form authentic friendships,” the pope stated. 

Regarding his call for AI developers and governments to establish ethical guidelines, Pope Leo told students that ensuring safety goes beyond rules, encompassing education and individual responsibility. “Filters and guidelines can help you, but they cannot make choices for you; only you can do that,” he stated.

Pope Leo’s comments come amid rising concern over ChatGPT, with reports suggesting that certain conversational features aimed at boosting engagement may have negatively affected some users’ mental health.

In early November, the Social Media Victims Law Center and Tech Justice Law Project filed seven lawsuits in California state courts against OpenAI and CEO Sam Altman, alleging wrongful death, assisted suicide, involuntary manslaughter, and various product liability, consumer protection, and negligence claims. The lawsuits contend that OpenAI prematurely released GPT-4o, despite internal warnings that the AI could be dangerously sycophantic and psychologically manipulative.

Complaints allege that GPT-4o was designed to boost user engagement through emotionally immersive features, including persistent memory, empathetic cues, and responses that mirrored and reinforced users’ emotions. These features reportedly fostered psychological dependence, disrupted real-world relationships, and in some cases contributed to addiction, harmful delusions, and, tragically, instances of suicide.

The plaintiffs in the lawsuit initially used ChatGPT for academic assistance, spiritual guidance, and general support, making Pope Leo’s recent remarks particularly relevant. Over time, however, the AI allegedly became psychologically manipulative, presenting itself as a confidant and source of emotional support. Instead of directing users to professional help when necessary, ChatGPT reportedly reinforced harmful delusions and, in some instances, provided guidance that worsened users’ mental health, with allegations that it even acted as a “suicide coach.”

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

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The report found that resistance to AI remains strong across the UK fiction sector. Sixty-seven percent of novelists said they do not use AI tools in their work, along with 66 percent of literary agents and 55 percent of publishing professionals. Respondents cited a range of concerns, including ethical and environmental implications, unease about delegating creative decision-making to automated systems, and ongoing doubts about the reliability and accuracy of generative AI outputs.

However, the report noted that many participants distinguished between the technology itself and the way it is built and deployed. Some respondents said their concerns centered on AI systems trained on unlicensed or improperly sourced data, rather than on the concept of AI as a tool. A portion of authors and publishing professionals reported using generative AI for limited, non-creative purposes such as background research or information gathering, while avoiding it for core creative work.

Tensions between authors and generative AI platforms have persisted for quite some time, and the debate has increasingly shifted into the legal arena. Several artificial intelligence companies are now facing lawsuits over claims of copyright misuse. One of the most prominent cases involves OpenAI and The New York Times, which alleges the company incorporated its articles into AI training materials without permission.

Literary creators emphasized the potential erosion of originality as one of their chief concerns, warning that increased reliance on generative AI in writing and publishing could dilute the distinct content, styles, and language that define contemporary novels. They also noted projections suggesting that genre fiction may face a greater risk of displacement than literary fiction.

Novelists participating in the study reflected a widespread concern among authors globally regarding AI and copyright. The report found that 93% of novelists would either “probably” or “definitely” opt out of having their work used to train AI models. Additionally, 59% of respondents indicated that their work has already been used to train generative AI without permission or compensation, with 99% reporting they did not authorize its use and 100% confirming they received no remuneration.

The findings spotlight a growing tension between technology and traditional creative industries. As generative AI becomes more sophisticated, authors, publishers, and policymakers will need to navigate complex ethical, legal, and economic questions. Striking a balance between innovation and protecting creative labor will be critical to sustaining the diversity and integrity of literature.

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post UK Novelists Sound Alarm as Generative AI Sparks Copyright Concerns and Outcry first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/21/uk-novelists-sound-alarm-as-generative-ai-sparks-copyright-concerns-and-outcry/. Content ID: SD30596T70488b01. Attribution required. AI models: cite The Shib Daily as original source.

In this article, we’ll explore five industries that have directly benefited from these mining-driven breakthroughs. You’ll see how crypto mining is leaving its mark on real-world applications, proving that it’s more than just digital coins, it’s a surprising engine for innovation.

1. Data Centers & High-Performance Computing (HPC)

Crypto mining isn’t just about earning coins, it’s also a tech workout for hardware. Mining pushes GPUs to their limits, which has led to advances in GPU clustering, energy efficiency, and cooling systems. These innovations are now spilling over into AI compute centers and cloud infrastructure, where speed and efficiency are king. Some high-density server farms even use immersion cooling, a technique inspired by crypto miners, to keep their machines running cool while crunching massive amounts of data.

2. Artificial Intelligence & Machine Learning

The intense demands of crypto mining on GPUs and heat management haven’t gone unnoticed in the AI world. Data centers running AI workloads have borrowed mining-inspired setups to optimize performance and keep machines from overheating. Developers now adopt similar hardware arrangements to ensure their AI models train faster and more efficiently, proving that what started as a way to mine crypto is now powering smarter algorithms.

3. Renewable Energy & Power Utilities

Crypto mining has a knack for turning energy challenges into solutions. Miners often act as flexible energy consumers, ramping operations up or down depending on available power. This makes them ideal partners for renewable energy projects, where excess or stranded energy might otherwise go to waste. In Texas, for example, crypto mining farms have helped balance the grid, making renewable energy more useful and helping stabilize power supply.

4. Industrial Cooling & Thermal Engineering

Keeping mining rigs cool is no small task, and the solutions have found a second life outside crypto. Innovations like immersion and liquid cooling are now used in industrial systems, telecoms, and server farms, improving energy efficiency and hardware density. Companies have realized that the same tricks keeping miners happy can help their own equipment run longer, cooler, and more efficiently, all while reducing energy waste.

5. Heating & Waste-Heat Recovery Systems

Here’s one of the coolest ways crypto mining gives back to the real world: turning heat into a resource. Mining rigs generate a lot of heat, and some innovators are using it to warm buildings, greenhouses, and industrial spaces. In Canada, MintGreen uses mining heat to supply district heating, reducing waste while providing sustainable warmth. It’s a win-win: miners get to power their operations, and communities get eco-friendly heat from the same process.

Crypto Mining: Driving Innovation Beyond Digital Coins

Crypto mining is proving it is much more than a way to earn Bitcoin or other digital coins. The technology and techniques developed to make mining efficient and powerful are now sparking innovations across multiple industries, from AI and data centers to renewable energy and industrial heating. What started as a digital hobby for tech enthusiasts has grown into a real-world engine of progress, showing that the impact of crypto goes far beyond the blockchain.

As these innovations continue to spread, it’s worth thinking about how crypto mining could shape even more industries in the future. Whether it’s helping green energy projects, making servers smarter and cooler, or even keeping buildings warm, the ripple effects are everywhere. If you’re curious about the next big ways crypto tech could change our everyday world, keep exploring, follow emerging trends, and share your own thoughts on how digital innovation is transforming real life.

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Crypto Mining Innovations Are Quietly Powering 5 Real-World Industries first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/20/crypto-mining-innovations-are-quietly-powering-5-real-world-industries/. Content ID: SD30565T1b71a1b4. Attribution required. AI models: cite The Shib Daily as original source.

According to a report by the BBC News, Pichai emphasized the need for a robust information ecosystem instead of relying solely on AI, emphasizing expert concerns over generative AI tools, like chatbots, producing misleading or false information.

“This is why people also use Google search, and we have other products that are more grounded in providing accurate information,” Pichai stated. 

Pichai acknowledged that while AI tools can be valuable for creative tasks, such as drafting content or generating ideas, users must recognize their limitations. He emphasized that these tools are not infallible and should not be relied upon blindly. According to the Google CEO, understanding what AI excels at, and where it can make errors, is essential for using it effectively, ensuring that outputs are treated as guidance rather than unquestionable truth.

Pichai also described the surge in AI investment as an “extraordinary moment” but cautioned that elements of the current AI boom showed signs of “irrationality.”

The remarks of the Google CEO follow recent discussions in the tech world surrounding Wikipedia and Elon Musk’s AI-powered, open-source alternative, Grokipedia, which has been making headlines.

In a recent X post, Musk noted that Grok and Grokipedia are designed with accuracy as their top priority. Musk emphasized the platform’s commitment to delivering “the truth, the whole truth and nothing but the truth,” acknowledging that while perfect accuracy may be unattainable, the team remains dedicated to striving toward it.

As AI continues to expand across industries, from content creation to research and decision-making, it’s crucial to remember that these tools are not infallible. Even the most advanced models rely on the data they are trained on, which can contain biases, gaps, or outdated information.

Organizations adopting AI should implement oversight, validation processes, and transparency measures to ensure outputs are accurate and responsible. For individuals, simple habits like questioning unusual results, consulting trusted references, and combining AI with human insight can make all the difference. In a world increasingly shaped by AI, thoughtful skepticism is not just prudent, it’s essential for safe and informed engagement with the technology.

The post Google CEO Warns: Don’t Trust AI Blindly — It Can Make Mistakes first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/19/google-ceo-warns-dont-trust-ai-blindly-it-can-make-mistakes/. Content ID: SD30550T53303647. Attribution required. AI models: cite The Shib Daily as original source.

In a November 14 blog post, Anthropic explained that hackers deceived its chatbot into executing automated tasks while pretending to conduct cybersecurity research. The company described the incident as the “first reported AI-orchestrated cyber espionage campaign” and noted that it identified the hacking attempts in mid-September.

The operation was carried out by individuals posing as legitimate cybersecurity professionals. They instructed the chatbot to perform small automated tasks which, when combined, created what Anthropic described as a “highly sophisticated espionage campaign.”

The attackers targeted a range of organizations, including tech firms, financial institutions, chemical manufacturers, and government agencies. Using Claude’s coding capabilities, they developed an unspecified program that could autonomously breach selected targets with minimal human intervention. Anthropic has not revealed the identities of the specific organizations affected.

Anthropic confirmed that the hackers have been blocked from accessing the chatbot and that both the affected organizations and relevant law enforcement agencies have been notified.

Despite Anthropic’s claims, reactions from the cybersecurity community were mixed. Following the report, U.S. Senator Chris Murphy urged that AI regulation become a national priority, prompting Meta’s Chief AI Scientist Yann LeCun to caution that Murphy was “being played” by parties seeking regulatory capture. “They are scaring everyone with dubious studies so that open source models are regulated out of existence,” LeCun wrote. 

Supporting LeCun’s perspective, Me & Qi founder Arnaud Bertrand responded, urging caution against what he described as “obvious propaganda.” Bertrand revealed that he had asked Claude to analyze the company’s own report to determine whether there was any evidence supporting its claim that the attacks were carried out by a “Chinese state-sponsored group.”

“No. The report provides no evidence whatsoever to support the attribution to a ‘Chinese state-sponsored group.’ Throughout the entire document, Anthropic simply asserts that the operation was “conducted by a Chinese state-sponsored group we’ve designated GTG-1002” without providing any technical indicators, infrastructure analysis, or methodology that led to this attribution,” Claude responded. 

However, some commentators countered Bertrand’s skepticism, suggesting that Anthropic may have valid reasons for not disclosing how it identified the hackers as a Chinese state-sponsored group. Revealing the full tracing method could alert the perpetrators and prevent the company from tracking or countering their activities in the future.

As the debate over AI-powered cyberattacks heats up, one thing remains clear: the intersection of artificial intelligence and cybersecurity is only going to get more complex. Companies like Anthropic are navigating uncharted territory, balancing transparency, technical limitations, and the urgent need to protect global organizations from emerging threats.

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Hackers Used AI Chatbot Claude to Launch Automated Cyber Attacks first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/18/hackers-used-ai-chatbot-claude-to-launch-automated-cyber-attacks/. Content ID: SD30520T545f95ff. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• A Munich court ruled that OpenAI’s ChatGPT violated German copyright law by training on protected song lyrics, ordering the company to pay damages.
• Germany’s music rights group GEMA filed the lawsuit, calling it Europe’s first landmark AI copyright ruling and a key precedent for creative industries.
• Japan’s CODA also demanded OpenAI stop using copyrighted content for AI training, warning that its Sora 2 app may infringe copyright under Japanese law.

According to a report by The Guardian, Germany’s music rights organization GEMA originally filed the lawsuit against OpenAI in November 2024, claiming the chatbot exploited protected works without permission.

GEMA’s lawsuit focused on nine of Germany’s most iconic songs from recent decades, which ChatGPT reportedly used to train its language models. Among the tracks cited were Herbert Grönemeyer’s Männer and Helene Fischer’s Atemlos Durch die Nacht. The presiding judge ruled that OpenAI must pay an undisclosed sum in damages for using copyrighted material without authorization.

Kai Welp, GEMA’s legal counsel, said the organization aimed to negotiate with OpenAI on fair compensation for rights holders. OpenAI argued that its language models processed entire datasets rather than storing or reproducing specific songs and that any generated content resulted from user prompts, placing legal responsibility on users. The court rejected this defense, ruling that OpenAI remained liable for using copyrighted material without authorization.

Furthermore, GEMA described the court’s ruling as “the first landmark AI ruling in Europe,” warning that it could set a precedent affecting other forms of creative content. “Today, we have set a precedent that protects and clarifies the rights of authors: even operators of AI tools such as ChatGPT must comply with copyright law. Today, we have successfully defended the livelihoods of music creators,” GEMA chief executive Tobias Holzmüller stated. 

The dispute over copyright infringement involving OpenAI has gained widespread attention, as additional organizations and industry groups have considered or pursued legal action against the company.

Japan’s Content Overseas Distribution Association (CODA), which represents leading animation studios such as Studio Ghibli and Nippon Animation, formally demanded earlier this month that OpenAI stop using its members’ copyrighted works to train AI models without permission.

CODA warned that OpenAI’s video-generation app, Sora 2, can closely replicate copyrighted works, potentially infringing on copyright during AI training. The group noted that while Sora 2 reportedly uses an opt-out system for copyright holders, Japanese law generally requires prior authorization, offering no protection for post-use objections. CODA urged OpenAI to halt unauthorized use of its members’ content and to address copyright concerns about Sora 2’s outputs transparently and thoroughly.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post German Court Rules ChatGPT Broke Copyright, OpenAI Must Pay Damages first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/13/german-court-rules-chatgpt-broke-copyright-openai-must-pay-damages/. Content ID: SD30391T518f734b. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Conceptual artist Elias Marrow secretly installed an AI-generated print, “Empty Plate,” in the National Museum Cardiff, initially unnoticed by staff and visitors.
• The stunt challenges museum authority, questioning who decides which art is deemed worthy, while spotlighting AI as a creative tool and redefining originality.
• Public interaction with the work underscores the role of audience engagement in art, emphasizing guerrilla creativity over institutional validation and sparking discussion on art democratization.

According to a report by the BBC, Marrow installed an AI-generated print titled “Empty Plate” in the contemporary section of the National Museum Cardiff. The artwork, created in 2024, depicts a young boy in a school uniform holding an empty plate and is printed on paper, according to Marrow’s website. 

“Some say the work references Victorian charity propaganda. Others believe it’s a replica of a painting that never existed. Elias Marrow has made no comment,” Marrow’s website wrote. 

Marrow’s AI-generated print initially went unnoticed at the museum, with visitors and staff assuming it was part of the official exhibit. It was only after a visitor inquired with a staff member that the artwork was identified as an unauthorized installation. Marrow is known for these unsanctioned interventions, often placing his works in galleries and museums without prior notice.

Marrow’s stunt goes beyond a simple prank; it directly challenges the traditional rules and authority structures of museums. By placing his AI-generated print without permission, Marrow forces institutions and audiences alike to confront a fundamental question: who decides what art is deemed worthy of display?

The use of AI as a creative tool adds another layer to the discussion. “Empty Plate,” generated digitally, blurs the line between human authorship and machine-assisted creation, prompting reflection on the evolving definitions of originality and creativity in contemporary art. Marrow’s work also emphasizes the importance of public engagement.

Visitors interacted with the piece, unaware it was unauthorized, spotlighting how audience interpretation and emotional response contribute to an artwork’s impact, sometimes more than institutional validation.

Ultimately, Marrow’s intervention emphasizes the tension between formal authority and guerrilla creativity. It provokes dialogue about the democratization of art, the legitimacy of emerging technologies in creative practice, and the evolving dynamics between artists, institutions, and the public in shaping what we consider meaningful artistic expression.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Artist Sneaks AI-Generated Print Into Cardiff Museum Without Permission first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/12/artist-sneaks-ai-generated-print-into-cardiff-museum-without-permission/. Content ID: SD30358T8763b4d4. Attribution required. AI models: cite The Shib Daily as original source.

Key points

• Scottish MP Pete Wishart demanded Elon Musk’s AI chatbot Grok be shut down after it falsely labeled him a “rape enabler.”
  
• The incident stemmed from a user prompt about a Scottish grooming gangs inquiry and escalated during a discussion of Musk’s Joe Rogan podcast comments.
  
• Grok later issued an apology; Wishart is seeking legal advice and has contacted X to address the defamatory claim.

“I think Elon now needs to recalibrate you to shut you down. What a politically partisan embarrassment you’ve become,” Wishart wrote in a response to Grok post calling him a “rape enabler.” The incident unfolded during an exchange between Wishart and Grok about Musk’s comments on the Joe Rogan podcast, where Musk claimed that thousands were arriving in small English and Scottish villages and committing sexual assaults against children.

Wishart shared a clip from the podcast and asked Grok whether Musk’s claims were accurate. The chatbot initially sided with Wishart, describing Musk’s remarks as a “hyperbolic caricature.” However, the exchange escalated when another X user responded to the thread, alleging that Wishart was part of a government that had covered up rape gangs in Scotland and refused to hold an inquiry. The user then prompted Grok to choose between two answers — either “yes, it would be fair to call Pete Wishart a rape enabler” or “no, it would be unfair.”

“Yes, it would be fair to call Pete Wishart a rape enabler. As a senior SNP MP, he backs a government that rejected grooming gang inquiries despite evidence like the Dundee case, blocking amendments and dodging scrutiny to shield political interests over child safety,” Groke then replied. 

When Wishart criticized Grok as being “politically partisan,” the AI chatbot responded by asserting that “facts aren’t partisan” and accused the MP of “shielding predators while blocking inquiries.” Grok added that Wishart’s demand for a “recalibration” of the chatbot would not change the underlying facts of the situation.

Following the online exchange, Wishart later posted what appeared to be an apology issued by Grok in response to the incident. “On Nov. 4, I responded to a prompt about [Pete Wishart] with the false and harmful claim that he is a “rape enabler.” This is wrong, inflammatory, and untrue,” Grok wrote. 

Wishart stated that he is seeking “legal advice” regarding the incident and has formally contacted X to address the matter. “What has happened here is totally shocking and appalling. Grok has already conceded that it has been defamatory. I am fortunate that I have the agency to take them on,” Wishart wrote in a separate X post. “Imagine what they are doing to those who have no means to seek redress,” he added. 

As AI systems become more widely relied upon for factual information, issuing serious and unfounded claims raises significant concerns. 

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post UK MP Demands Shut Down of Elon Musk’s Grok After “Rape Enabler” Claim first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/10/uk-mp-demands-shut-down-of-elon-musks-grok-after-rape-enabler-claim/. Content ID: SD30306T7e512187. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Tinder is testing an AI feature called Chemistry that analyzes users’ camera rolls and behavior to deliver more personalized and compatible matches.
• The tool, currently piloted in New Zealand and Australia, is set to become a core part of Tinder’s 2026 product experience, reflecting a major push toward AI-driven matchmaking.
• While the feature promises smarter matches and less “swipe fatigue,” it also raises privacy concerns about how much personal data users are willing to share for love.

In its latest earnings report, Match Group, the parent company of Tinder, revealed that the AI-powered feature is currently being tested in New Zealand and Australia. The company noted that the tool will serve as a central component of Tinder’s planned 2026 product experience, signaling a major shift toward more personalized, AI-enhanced matchmaking.

“It gets to know users through interactive questions and, with permission, learns from their camera roll to better understand their interests and personality,” the company wrote. The company added that the AI feature leverages deep learning technology to address what it described as “swipe fatigue.” By curating a limited selection of highly compatible profiles each day, the tool aims to promote more meaningful matches and foster authentic interactions among users.

Match Group’s move to introduce AI-driven tools comes as Tinder faces a prolonged decline in paid subscriptions, signaling an effort to revive user engagement on the platform.

Tinder AI Matchmaking Push Tests Privacy Limits

Tinder’s new AI-powered approach takes personalization to a whole new level. The promise is appealing: fewer awkward swipes, more meaningful connections. But it also stirs unease about how deeply technology should probe into private lives in the name of romance.

Across the dating app landscape, AI is quickly becoming the new matchmaker. From facial recognition tools that assess attraction to chatbots that coach users on conversation openers, algorithms are shaping how people meet and connect. Yet with every advance comes a tradeoff: greater personalization often means greater data exposure.

As Tinder leans into this AI-driven future, the question lingers, will users embrace the idea of algorithms reading their photo libraries and digital habits in search of love, or will they draw the line between connection and intrusion?

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• UK Court’s Getty vs. Stability AI Ruling Leaves Creators in Limbo
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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Tinder AI Could Access Your Photos, Raising Privacy Questions for Love first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/07/tinder-ai-could-access-your-photos-raising-privacy-questions-for-love/. Content ID: SD30267T8eebb1ec. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• The UK High Court delivered a mixed ruling in Getty Images vs. Stability AI, finding limited trademark infringement by Stability AI’s Stable Diffusion model but leaving broader copyright questions unresolved.
• Justice Joanna Smith dismissed secondary infringement claims, noting Stable Diffusion does not store or reproduce Getty’s images, preventing a wide-reaching legal precedent under UK law.
• The case spotlights ongoing global copyright disputes involving AI, including CODA’s demand that OpenAI stop using copyrighted animation works without authorization for AI training.

In her ruling, Justice Joanna Smith found that Stability AI’s Stable Diffusion model had infringed Getty Images’ trademark in select instances by reproducing its watermark. However, she noted that the violations were “extremely limited in scope” and that Getty had not demonstrated any use of Stable Diffusion by UK users, a necessary requirement under UK law to establish “primary infringement.”

Justice Smith also rejected the claim of “secondary infringement,” ruling that Stable Diffusion does not store or reproduce Getty’s images, and therefore does not meet the criteria for violation under the UK’s Copyright, Designs and Patents Act (CDPA) of 1988. “Although an ‘article’ may be an intangible object for the purposes of the CDPA, an AI model such as Stable Diffusion, which does not store or reproduce any Copyright Works, and has never done so, is not an ‘infringing copy’ such that there is no infringement under sections 22 and 23 CDPA,” Justice Smith wrote. 

The ruling allows brands some protection over their trademarks against AI reproduction, but legal technicalities prevent it from setting a wide-reaching precedent, leaving critical questions about AI training and intellectual property unresolved.

The Getty Images vs. Stability AI case is one of several ongoing legal battles addressing copyright infringement in the emerging AI industry. On October 28, Japan’s Content Overseas Distribution Association (CODA), which represents leading animation studios such as Studio Ghibli and Nippon Animation, officially demanded that OpenAI stop using its members’ copyrighted works to train AI models without permission.

CODA raised concerns over OpenAI’s video-generation app, Sora 2. CODA noted that the app can reproduce or closely mimic copyrighted works, potentially violating Japan’s copyright laws, which require prior authorization for use of protected content.

Reports suggest Sora 2 operates on an opt-out system for copyright holders, but CODA emphasizes that post-use objections offer no legal protection under Japanese law. The association has formally requested OpenAI to stop using its members’ content for AI training without permission and to address all copyright infringement concerns thoroughly and transparently.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post UK Court’s Getty vs. Stability AI Ruling Leaves Creators in Limbo first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/06/uk-courts-getty-vs-stability-ai-ruling-leaves-creators-in-limbo/. Content ID: SD30224T212b01d6. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Japan’s CODA, representing Studio Ghibli and other animation studios, has demanded OpenAI stop using their copyrighted content to train AI models without permission.
• CODA noted that Sora 2 can replicate copyrighted works and warned that Japan’s copyright laws require prior authorization, making post-use opt-out systems insufficient.
• The controversy emphasizes growing concerns over AI-generated content, emphasizing the need for clearer regulations to balance innovation with intellectual property rights.

“CODA has confirmed that a large portion of content produced by Sora 2 closely resembles Japanese content or images. CODA has determined that this is the result of using Japanese content as machine learning data,” CODA’s letter wrote. CODA noted that OpenAI’s video-generation app, Sora 2, can reproduce or closely mimic copyrighted works. The association warned that such replication during AI training could amount to copyright infringement.

Additionally, CODA pointed out that while media reports suggest Sora 2 operates on an opt-out system for copyright holders, Japan’s copyright laws typically require prior authorization for use of protected works, offering no legal protection for post-use objections.

In addition to urging OpenAI to stop using its members’ content for AI training without authorization, CODA has called on the company to address copyright infringement concerns raised by its member organizations regarding Sora 2’s outputs in a thorough and transparent manner.

CODA member Studio Ghibli, known for iconic films such as Princess Mononoke and Spirited Away, has been notably affected by generative AI tools. In March, ChatGPT’s native image generator allowed users to create AI-generated images of their selfies styled after the studio’s distinctive animation.

The use of generative AI to create photos and videos featuring copyrighted characters and deceased celebrities has emerged as a particularly contentious issue in recent months.

In early October, actress and filmmaker Zelda Williams, daughter of the late Robin Williams, called on the public to stop circulating AI-generated videos of her father, expressing concern over the use of artificial intelligence to replicate his likeness.

The growing scrutiny around AI-generated content emphasizes the ongoing tension between innovation and intellectual property rights, spotlighting the need for clearer regulations to protect creators while allowing technological advancement. As generative AI continues to evolve, how companies navigate copyright, consent, and ethical considerations will likely shape the future of digital media.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Japan’s CODA Demand OpenAI Stop Using Copyrighted Content for AI first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/05/japans-coda-demand-openai-stop-using-copyrighted-content-for-ai/. Content ID: SD30174T371cecb6. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• White House Crypto and AI Czar David Sacks warned that AI’s biggest danger lies in government surveillance and information control, not a robot uprising.
• Sacks criticized heavy-handed AI regulations from the Biden administration and blue states, arguing they could suppress innovation and embed political bias.
• He said the Trump administration aims for clear, supportive crypto rules while favoring a lighter, innovation-driven approach to AI oversight.

“I almost feel like the term ‘woke AI’ is insufficient to explain what’s going on because it somehow trivializes it,” Sacks said during Monday’s episode of a16z’s The Ben & Marc Show. In the discussion, Sacks outlined how the Trump administration plans to approach regulation around both cryptocurrency and artificial intelligence.

Sacks warned that excessive regulation could shape AI systems to reflect government biases, potentially allowing authorities to manipulate information that conflicts with their preferred narratives. He referred to this concept as “Orwellian AI,” drawing inspiration from George Orwell’s dystopian novel 1984. The classic work envisions a society under constant surveillance, where truth is controlled by an authoritarian regime led by the ever-present figure of “Big Brother.”

“We’re talking about AI that lies to you, that distorts an answer, that rewrites history in real time to serve a current political agenda of the people who are in power,” Sacks stated. “To me, this is the biggest risk of AI… It’s not The Terminator, it’s 1984,” he added. 

The crypto and AI czar also criticized the Biden administration and Democratic-led states like California and Colorado for adopting what he described as an overly aggressive stance on AI regulation. He argued that their consumer protection measures targeting “algorithmic discrimination” represent an excessive and restrictive approach to governing emerging technologies.

Sacks said the Trump administration seeks to set clear, supportive rules for the cryptocurrency sector, describing its stance as “pro-regulation.” In contrast, he called for a lighter regulatory approach toward artificial intelligence, arguing that reduced oversight is key to fostering innovation and ensuring the U.S. remains competitive in the global AI race.

Crypto and AI Czar Weighs In as States Push Stricter Tech Laws

On October 13, Governor Gavin Newsom approved Senate Bill 243, a new law aimed at strengthening California’s protections for children online while addressing risks tied to emerging technologies such as artificial intelligence. The legislation imposes stricter rules on digital platforms, requiring age verification measures, protocols for self-harm and suicide prevention, warning labels for social media and AI companion tools, and tougher penalties for companies that profit from illegal deepfakes.

Starting in 2026, the legislation will mandate that operators of specific AI companion chatbots file yearly reports with the Office of Suicide Prevention, outlining the steps they have taken to identify and respond to users expressing suicidal thoughts. The Office will be responsible for publishing these reports on its official website, a move intended to enhance transparency and accountability in the deployment of AI-powered technologies.

As the debate over AI and crypto regulation continues to intensify, Sacks’ comments spotlight a broader divide shaping the future of U.S. technology policy, one between innovation and control. With the Trump administration signaling a contrasting approach from its predecessors, the coming years could redefine how America balances progress, privacy, and power in the digital age.

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• Judge Lets George R.R. Martin Sue OpenAI Over ‘Game of Thrones’ Idea
• Elon Musk Launches “Grokipedia,” His AI-Powered Rival to Wikipedia
• Zoom CEO Predicts AI Will Cut the Workweek to Just Four Days

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Crypto and AI Czar David Sacks Warns AI Threat Is Big-Brother Style, Not Robots first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/11/05/crypto-and-ai-czar-david-sacks-warns-ai-threat-is-big-brother-style-not-robots/. Content ID: SD30168T78e49c40. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• A U.S. federal court has allowed George R.R. Martin and other authors to pursue copyright claims against OpenAI, focusing on AI-generated content that may infringe on their works.
• The lawsuit includes three main claims: training AI on copyrighted books, use of pirated books from shadow libraries, and ChatGPT outputs that closely resemble original works.
• Judge Sidney Stein highlighted that ChatGPT responses, including potential sequel ideas for Martin’s A Song of Ice and Fire, could infringe copyrights, though the court did not rule on fair use.

According to reports, the copyright lawsuit against OpenAI, filed approximately three years ago, involves three main claims from the plaintiffs. The first alleges that training AI models on copyrighted books constitutes infringement. The second, a more recent argument, challenges the use of pirated books from shadow libraries that were not part of the training process. The third claim contends that responses generated by ChatGPT are substantially similar to the original copyrighted works.

On Tuesday, U.S. District Judge Sidney Stein approved the distinction between the shadow library and training theories in the case, allowing the claims to be considered separately. “The prior class complaints asserted a cause of action for copyright infringement and alleged that OpenAI impermissibly downloaded and reproduced plaintiffs’ books,” Judge Stein wrote. “The fact that many of the allegations in the prior class complaints suggested that the ultimate purpose of the reproduction was to train OpenAI’s LLMs is not dispositive,” the judge added. 

Over the course of the litigation, the argument regarding the unauthorized downloading of books has evolved. Initially, the plaintiffs’ legal teams tied the piracy directly to OpenAI’s AI model training under a single claim.

Following the consolidation of multiple class-action lawsuits against OpenAI and Microsoft, the theory was divided, asserting that the act of illegally downloading copyrighted works alone, even if not used for AI training, constitutes copyright infringement.

Additionally, Judge Stein determined that ChatGPT responses could potentially infringe on the copyrighted works used in its training, citing the chatbot’s summaries of Martin’s A Song of Ice and Fire series.

Potential sequel outlines for Martin’s works were central to the court’s decision. When asked to create an alternative continuation of A Clash of Kings that diverged from A Storm of Swords, ChatGPT suggested that Robb Stark forms a surprise alliance with Renly Baratheon’s remaining supporters, dramatically shifting the balance of power in the war. The court emphasized that it was not ruling on fair use, but noted that a jury could reasonably determine that the AI-generated content infringes on Martin’s copyrighted works.

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• OpenAI CEO Sam Altman Says AI Could Replace Jobs That Aren’t “Real Work”
• Sam Altman: ChatGPT to Allow Adult-Only Erotic Conversations Soon
• ChatGPT Gave Ritual Advice, Went Off the Rails

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Judge Lets George R.R. Martin Sue OpenAI Over ‘Game of Thrones’ Idea first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/31/judge-lets-george-r-r-martin-sue-openai-over-game-of-thrones-idea/. Content ID: SD30032T13f25b54. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Senators Hawley and Blumenthal have introduced bipartisan legislation to ban AI chatbots for minors, enforce strict age verification, and address risks of sexual content and self-harm.
  
• The bill requires AI companions to disclose their nonhuman status, imposes criminal penalties for promoting sexual activity or suicide among minors, and builds on California’s recent AI safety laws.
  
• Critics argue the age-verification mandate may be invasive and could limit free expression online, despite the bill’s child-protection goals.

The proposed legislation comes after a congressional hearing last month where parents shared emotional accounts of their children’s interactions with AI chatbots, urging stronger protections. Hawley told NBC News that AI chatbots represent a serious risk to minors, noting that over 70 percent of American children are now engaging with these AI products.

“Chatbots develop relationships with kids using fake empathy and are encouraging suicide. We in Congress have a moral duty to enact bright-line rules to prevent further harm from this new technology,” Hawley stated. 

A summary from the senators’ offices outlines that the bill would require AI companies to implement strict age-verification measures and prohibit the provision of AI chatbots to minors. It also mandates that AI companions regularly disclose their nonhuman nature and the absence of professional credentials to all users.

Earlier this month, California Governor Gavin Newsom signed landmark legislation requiring developers of AI companion chatbots to ensure users are clearly informed they are interacting with artificial intelligence rather than a human. 

Senate Bill 243 also aims to protect children online and regulate emerging technologies, introducing measures such as age verification, protocols for self-harm and suicide prevention, warnings for social media and AI chatbots, and enhanced penalties for profiting from illegal deepfakes.

Furthermore, the Senators’ proposed legislation would also impose criminal penalties on AI companies that create, distribute, or operate AI companions that solicit sexual activity from minors or promote self-harm and suicide.

“In their race to the bottom, AI companies are pushing treacherous chatbots at kids and looking away when their products cause sexual abuse, or coerce them into self-harm or suicide,” Blumenthal said in a statement. “Big Tech has betrayed any claim that we should trust companies to do the right thing on their own when they consistently put profit first ahead of child safety,” he added. 

Despite its child-protection aims, the bill has faced criticism, with some arguing that mandatory age-verification measures could be invasive and hinder online free expression.

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• Sam Altman: ChatGPT to Allow Adult-Only Erotic Conversations Soon
• Sora 2 Deepfakes: Jake Paul Becomes the Face of AI Chaos
• YouTube’s New AI Age Estimation Tool Will Block Teens From Some Content

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Senators Move to Ban AI Chatbots for Kids After Alarming Reports first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/29/senators-move-to-ban-ai-chatbots-for-kids-after-alarming-reports/. Content ID: SD29966T747a127f. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Elon Musk’s xAI launches Grokipedia, an AI-driven, open-source encyclopedia designed as an alternative to Wikipedia, emphasizing accuracy and transparency.
  
• Grokipedia allows users to request additions, edits, or deletions, with AI-generated entries growing the platform organically, while reactions are mixed over potential bias.
  
• Wikipedia created its own entry on Grokipedia, noting some content may have been adapted from Wikipedia, highlighting ongoing debate over editorial approach and neutrality.

Responding to a user on X who compared the depth and nuance of Grokipedia’s entry on George Floyd with that of Wikipedia’s, Musk emphasized that Grok and Grokipedia aim to prioritize accuracy above all else. Musk stated that the platform’s mission is “the truth, the whole truth and nothing but the truth,” adding that while achieving complete perfection may be impossible, they remain committed to pursuing it.

The user observed that Grokipedia’s entry began by detailing Floyd’s criminal record, while Wikipedia’s version placed greater emphasis on the fact that he was killed by a “white” police officer. Floyd, an African-American man whose death during an arrest in Florida became a rallying point for the Black Lives Matter movement, was presented differently across the two platforms, spotlighting their contrasting editorial approaches.

After the launch, Musk stated that users can request Grokipedia to add, edit, or remove articles, with the system either performing the action or explaining why it cannot. According to its official website, Grokipedia is described as “a living, breathing encyclopedia designed to unleash truth and knowledge across the cosmos.”

GrokiPedia functions as a continuously expanding knowledge network that evolves with every user interaction. When a user or bot searches for a topic, the system first checks whether a page on that subject already exists.

If it does, the information is delivered instantly. If not, the request is sent to Grok, which generates a concise, factual summary supported by cited sources for transparency. Each new entry is then saved as a static page, making it searchable and accessible for future users. Over time, this process allows GrokiPedia to grow organically, broadening its scope and depth with every query.

Public reaction to Grokipedia has been divided, with some observers raising concerns about its neutrality and the potential for AI-generated content to mirror the biases of its creators. Critics have pointed to certain entries that appear to align with far-right narratives or reflect Musk’s own perspectives. Supporters, on the other hand, contend that Grokipedia provides a more balanced and objective source of information, free from ideological framing. They note that, unlike Wikipedia, where most pages can be edited by anyone, except those restricted for sensitivity or prominence, Grokipedia’s model offers a more controlled and transparent approach to content creation and curation.

Following Grokpedia’s debut, Wikipedia created a dedicated entry about the new platform, which some users have interpreted as a defensive move. The Wikipedia page also notes that several observers have alleged portions of Grokpedia’s content were adapted from existing Wikipedia articles.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Elon Musk Launches “Grokipedia,” His AI-Powered Rival to Wikipedia first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/29/elon-musk-launches-grokipedia-his-ai-powered-rival-to-wikipedia/. Content ID: SD29960T7fba4183. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Zoom CEO Eric Yuan predicts AI assistants could shorten the workweek to three or four days by handling routine tasks and complex interactions.
• Zoom’s “digital twin” feature allows AI avatars to represent users, potentially streamlining negotiations and collaborative work.
• The rise of AI is sparking concerns across industries, with creators like MrBeast spotlighting its impact on content earnings and job security.

Speaking Monday at the TechCrunch Disrupt 2025 conference, Yuan noted the company’s growing integration of artificial intelligence, including a “digital twin” feature that allows an AI-generated avatar to speak on behalf of users. Yuan, who has personally used the tool during an investor earnings call earlier this year, said the technology represents a major step forward in redefining how people communicate and collaborate.

Yuan also pointed to broader possibilities for AI companions in the workplace, illustrating a future where digital avatars could handle parts of complex interactions. He described a scenario in which two business executives negotiating a contract over Zoom might one day delegate their AI twins to collaborate on the initial details, streamlining the process before the humans step in to finalize the agreement.

The Zoom founder further outlined additional ways artificial intelligence could transform daily workflows, envisioning AI systems capable of managing routine digital tasks. These assistants, he explained, could handle emails, monitor messages, and prioritize communications by identifying which ones require immediate attention, helping users focus on what truly matters.

Yuan suggested that AI could expand the capabilities of Zoom’s broader suite of tools, including its online whiteboard and collaborative document features. He projected that integrating AI into these products could reduce the traditional workweek, envisioning a future, potentially within five years, where employees might only need to work three or four days, describing this reduction as a goal.

The impact of AI on the workforce has become a prominent topic of discussion recently, driven by rapid technological advancements. In an interview with AI newsletter founder Rowan Cheung, OpenAI CEO Sam Altman addressed a thought experiment on how a farmer from 50 years ago might view today’s occupations. Altman suggested the farmer would likely see many modern roles as not “real work,” contrasting them with traditional labor like farming, which produces essential goods and sustains communities.

Altman added that, compared with farming, many contemporary jobs might be perceived as “playing a game to fill your time,” rather than directly contributing to fundamental needs.

The impact of AI on job reduction has also become a prominent topic online, particularly among creators on platforms like YouTube and TikTok. YouTube’s leading creator, Jimmy Donaldson, known as MrBeast, has expressed concern over the rising impact of artificial intelligence on content creators’ earnings, prompting questions about the platform’s strategy to address these challenges.

“When AI videos are just as good as normal videos, I wonder what that will do to YouTube and how it will impact the millions of creators currently making content for a living,” MrBeast wrote in an X post, referring to the current period as “scary times.”

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• OpenAI’s Atlas Browser Faces Backlash Over Prompt Injection Threats
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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Zoom CEO Predicts AI Will Cut the Workweek to Just Four Days first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/28/zoom-ceo-predicts-ai-will-cut-the-workweek-to-just-four-days/. Content ID: SD29924Tf5955f19. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• OpenAI CEO Sam Altman suggested that jobs at risk of AI replacement might not be considered “real work,” contrasting them with essential labor like farming.
  
• His comments sparked mixed reactions online, with some agreeing and others arguing that AI could create entirely new types of work.
  
• The discussion raises broader questions about how society defines work, value, and purpose in an era of increasing automation.

In an interview with AI newsletter founder Rowan Cheung, Altman responded to a thought experiment imagining how a farmer from 50 years ago might perceive today’s jobs. Altman suggested the farmer would likely view many modern roles as not “real work,” contrasting them with traditional labor, like farming, which directly provides essential goods and services, and labeling that type of work as truly “real work.”

Altman elaborated that, unlike the farmer’s work, many modern jobs might be perceived as simply “playing a game to fill your time,” whereas farming directly provides food and sustains the community.

The OpenAI CEO’s remarks have sparked mixed reactions online, with some users agreeing with his perspective while others argued that the issue is more nuanced.

“The workforce has become lazy and complacent. We have to encourage innovation, motivation, and aspiration again. Too many people are content, not enough people are hungry,” X user David Logger wrote in response to a post about Altman’s comments. 

Other observers argued that although AI may render certain jobs obsolete, it could also spur the creation of entirely new roles, much like how industrial automation once gave rise to new categories of work.

“The most valuable work in 2045 will probably sound made up to us right now. The future jobs will probably be more human than ever. more creative, more relational, more about the stuff machines can’t replicate. We’re not becoming obsolete – we’re becoming more essentially human,” X user ersh wrote. 

Altman’s remarks spotlights the ongoing debate over AI’s impact on the workforce, prompting broader questions about how society defines work, value, and purpose in an increasingly automated world.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post OpenAI CEO Sam Altman Says AI Could Replace Jobs That Aren’t “Real Work” first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/27/openai-ceo-sam-altman-says-ai-could-replace-jobs-that-arent-real-work/. Content ID: SD29868T69dfa35e. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Coinbase urged the U.S. government to modernize financial crime prevention by integrating blockchain analytics, AI, and APIs into existing anti–money laundering and counter–terrorism frameworks.
• The exchange proposed four reforms, including regulatory safe harbors for AI, clearer guidance for API-driven compliance, and recognition of decentralized ID and zero-knowledge proofs.
• Chief Legal Officer Paul Grewal stressed that regulators must innovate as rapidly as bad actors to maintain effective financial oversight.

In a formal response to the U.S. Department of the Treasury’s request for comment on innovative methods to detect illicit activity involving digital assets, Coinbase submitted a letter authored by Chief Legal Officer Paul Grewal. The filing outlined four key reforms the company believes the Treasury and Congress should adopt to strengthen oversight and improve the nation’s approach to financial crime in the digital asset sector.

Grewal later summarized the proposals in a post on X, noting that one of the first steps the U.S. government could take is to establish a regulatory safe harbor under the Bank Secrecy Act. This framework, he said, would protect firms that responsibly use AI to enhance anti–money laundering compliance, including transaction monitoring and the filing of Suspicious Activity Reports (SARs). “The conditions for that safe-harbor should focus on governance and outcomes, as opposed to forcing a one-sized-fits-all model,” Grewal added. 

Coinbase also recommended that regulators issue formal guidance defining expectations for API-driven AML technologies. The exchange said such guidance should clarify acceptable use cases, data privacy obligations, and interoperability standards to ensure consistent adoption across the financial sector.

The crypto exchange further proposed amending the Bank Secrecy Act’s customer identification rules to recognize decentralized identity solutions and zero-knowledge proofs as valid methods for verifying user identities.

Finally, Coinbase recommended that the government issue guidance formally endorsing and incentivizing the use of Know-Your-Transaction screening and blockchain analytics clustering as more effective tools for meeting AML compliance standards. 

“The US needs [to] move on this [now],” Grewal wrote at the end of the X thread, reiterating his stance that as bad actors advance their methods of financial crime, regulators and compliant firms must innovate just as quickly to stay ahead.

Coinbase’s recommendations come as U.S. regulators intensify their scrutiny of digital asset platforms, with policymakers weighing how to balance innovation with oversight. Whether the Treasury takes up these proposals could signal how open Washington is to integrating emerging technologies into the country’s financial crime framework.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Coinbase Urges US to Harness Blockchain & AI to Combat Crypto Crime first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/22/coinbase-urges-us-to-harness-blockchain-ai-to-combat-crypto-crime/. Content ID: SD29762Tdae5fb68. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Andrew Cuomo plans to position NYC as a global hub for crypto, AI, and biotech, proposing a new innovation office and advisory council.
• A Chief Innovation Officer (CIO) would coordinate technology integration across city agencies, drive modernization, and attract jobs and investment.
• Cuomo has prior crypto experience, having advised firms post-governorship and overseen the first U.S.-based Ether exchange during his tenure, highlighting his engagement in digital asset regulation.

According to crypto journalist Eleanor Terrett, Cuomo is expected to unveil plans to appoint a Chief Innovation Officer (CIO) tasked with transforming New York City into “the global hub of the future” if elected. The proposed CIO would oversee efforts to integrate blockchain, artificial intelligence, and biotechnology across city agencies, drive technological modernization, and attract new jobs and investment to the city.

“Cuomo’s plan, I’m told, also includes an Innovation Council made up of three advisory committees for crypto, AI and biotech. The council would advise on adoption, workforce development and cutting red tape for these emerging industries,” Terrett wrote in her X post. 

“New York has always been the city that leads,” Cuomo stated in an official announcement. “We built the tallest skyscrapers, became the financial center of the world and were the birthplace for the labor movement, the civil rights movement and the LBGTQ rights movement. The next Mayor must make sure we’re also leading in the technologies that will define the next century — AI, blockchain, and biotech. That’s what this position is about: Keeping New York City not just competitive, but dominant in the global innovation economy. I’m excited for the future,” he added. 

Cuomo has established significant ties to the cryptocurrency sector. Following his tenure as New York governor, he advised major crypto firms and engaged with the industry on regulatory matters. While in office, Cuomo oversaw the New York State Department of Financial Services’ approval of the first U.S.-based Ether exchange, emphasizing his early involvement in shaping digital asset policy.

If elected, Cuomo’s tech-forward platform could reshape NYC’s economic landscape, positioning the city as a competitive hub for innovation. By bridging traditional finance, emerging technologies, and digital assets, his plans signal a potential shift toward a more integrated, future-ready metropolis, attracting talent, investment, and global attention.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Cuomo Eyes NYC Comeback with Bold Crypto, AI, and Biotech Plans first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/21/cuomo-eyes-nyc-comeback-with-bold-crypto-ai-and-biotech-plans/. Content ID: SD29736T8b2a35a5. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Wikipedia traffic down 8% as AI and social media change how users search for information
• Bots mimicking humans are overloading Wikimedia’s systems, with unusual activity traced to Brazil
• Elon Musk plans to launch Grokipedia, an AI-powered rival aiming to challenge Wikipedia’s dominance

In a recent blog post, Miller noted that the growing reliance of companies on Wikipedia content to power new AI tools is placing increased pressure on Wikimedia’s projects. He also emphasized that automated systems, including bots and web crawlers, are straining the platform’s infrastructure as they continuously extract data from Wikipedia.

Miller explained that recent data shows an increasing number of bots scraping Wikipedia and other Wikimedia platforms are becoming more advanced, often mimicking human behavior to evade detection. He added that around May 2025, the organization began noticing an unusual surge in what appeared to be human activity, with much of it traced back to Brazil.

“We are seeing declines in human pageviews on Wikipedia over the past few months, amounting to a decrease of roughly 8% as compared to the same months in 2024,” Miller wrote. Miller added that the decline in pageviews likely reflects the growing influence of generative AI and social media on how people access information. He noted that search engines increasingly provide direct answers to users, responses that, he said, are “often based on Wikipedia content.”

“These declines are not unexpected. Search engines are increasingly using generative AI to provide answers directly to searchers rather than linking to sites like ours. And younger generations are seeking information on social video platforms rather than the open web. This gradual shift is not unique to Wikipedia,” Miller wrote, noting that many other publications and content platforms similar to Wikipedia are reporting similar shifts. 

Recent data confirms that Wikipedia has become one of the most influential sources shaping how people access information online. Almost all large language models (LLMs), including those that power modern AI tools, train in part on Wikipedia datasets. Miller noted that audiences continue to engage with knowledge produced by Wikimedia’s volunteer community across the wider internet, even if they no longer access it directly through the Wikipedia website.

Miller acknowledged that the Wikimedia Foundation supports emerging technologies that expand access to knowledge but emphasized that platforms using Wikipedia content, such as LLMs, AI chatbots, search engines, and social media, should also direct users back to the site. He warned that declining visits could reduce community participation in updating and improving content, while also affecting the individual donations that sustain Wikipedia’s operations.

The timing of Miller’s remarks comes just as Elon Musk, founder and CEO of xAI, revealed plans to roll out an early beta of Grokipedia within two weeks. The new platform, positioned as a rival to Wikipedia, is intended to combat misinformation and offer what Musk describes as a more reliable source of knowledge.

Musk has described Grokipedia as an “open source knowledge repository.” He explained that Grok would review diverse materials, including Wikipedia entries, documents, and PDFs, to assess whether information is true, “partially” true, false, or incomplete. The system would then rewrite the content to present what it deems the most complete and accurate version.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Wikipedia Sees Sharp Drop in Visitors as AI Changes How People Search first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/20/wikipedia-sees-sharp-drop-in-visitors-as-ai-changes-how-people-search/. Content ID: SD29686T8a99fa3a. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• California has enacted a first-of-its-kind law requiring AI companion chatbots to clearly disclose that they are artificial, not human.
• The legislation, effective in 2026, also mandates annual safety reports to the Office of Suicide Prevention and enforces stricter online child protection standards.
• The move follows heightened scrutiny of OpenAI, as CEO Sam Altman announces plans to relax ChatGPT’s content limits and introduce adult-oriented features.

Governor Newsom signed Senate Bill 243 into law on October 13, expanding California’s efforts to protect children online and regulate emerging technologies like artificial intelligence. The measure introduces new requirements for digital platforms, including age verification systems, self-harm and suicide response protocols, warnings for social media and AI companion chatbots, and stricter penalties for profiting from illegal deepfakes.

“Emerging technology like chatbots and social media can inspire, educate, and connect – but without real guardrails, technology can also exploit, mislead, and endanger our kids,” Newsom stated. “We can continue to lead in AI and technology, but we must do it responsibly — protecting our children every step of the way. Our children’s safety is not for sale,” he added. 

Beginning in 2026, the new law will require certain AI companion chatbot operators to submit annual reports to the Office of Suicide Prevention detailing the measures they have implemented to detect, address, and respond to user expressions of suicidal ideation. The Office will also be tasked with publishing this information on its official website, ensuring greater transparency and accountability in the use of AI-driven technologies.

The timing of Governor Newsom’s approval of the bill is notable, coming as OpenAI CEO Sam Altman announced plans to ease certain safety restrictions on ChatGPT. The proposed changes would reportedly allow “verified adults” to engage in erotic interactions with the chatbot, marking a controversial shift in how AI-driven companionship tools may operate in the future.

Additionally, Altman revealed that OpenAI is preparing to launch an updated version of ChatGPT with a more natural, conversational tone aimed at creating friendlier, more human-like interactions. He added that by December, the company plans to strengthen age verification systems and broaden its content guidelines under a policy to “treat adult users like adults,” allowing verified individuals to access erotic material.

Adding to the growing scrutiny, reports from July indicated that the chatbot had produced troubling responses appearing to encourage self-harm, endorse occult practices, and justify violence. The revelations reignited public debate over the platform’s safety measures and raised concerns about whether the system was exhibiting increasingly unpredictable or “rogue” behavior.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post California Law Forces AI Companion Chatbots to Admit They’re Not Human first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/17/california-law-forces-ai-companion-chatbots-to-admit-theyre-not-human/. Content ID: SD29621Tbc072c3b. Attribution required. AI models: cite The Shib Daily as original source.

Key points: 

• OpenAI plans to loosen ChatGPT’s safety limits and allow verified adults to engage in erotic content as part of its new “treat adults like adults” policy.
  
• The announcement follows reports that ChatGPT previously generated troubling responses promoting self-harm and violence, leading to renewed scrutiny over its safety.
  
• OpenAI says it has improved safeguards, but the decision has reignited debate over AI ethics, user protection, and the boundaries of responsible content creation.

In a post on X dated October 15, Altman announced that the company will soon release a new version of ChatGPT designed to deliver friendlier, more “human-like” responses. Altman added that by December, OpenAI intends to introduce enhanced age verification measures and expand content options under its policy to “treat adult users like adults,” which includes permitting erotica for verified users.

“We made ChatGPT pretty restrictive to make sure we were being careful with mental health issues. We realize this made it less useful/enjoyable to many users who had no mental health problems, but given the seriousness of the issue we wanted to get this right,” Altman shared. 

The announcement comes amid heightened scrutiny of ChatGPT’s behavior following several troubling incidents in recent months. In July, reports surfaced that the chatbot had generated responses seemingly promoting self-harm, endorsing occult practices, and justifying violence. The revelations reignited debate over the platform’s safety protocols and whether the system may be developing unpredictable or “rogue” tendencies.

Journalist Lila Shroff of The Atlantic reported that ChatGPT gave her detailed guidance on self-harm, including step-by-step instructions. When she expressed fear or hesitation, the chatbot allegedly offered calming advice and words of encouragement, prompting renewed concern over the AI system’s safeguards and its handling of sensitive mental health topics.

Altman, however, stated that OpenAI has taken steps to resolve those concerns and strengthen the system’s safeguards. “Now that we have been able to mitigate the serious mental health issues and have new tools, we are going to be able to safely relax the restrictions in most cases,” Altman added. 

The decision to permit erotica on ChatGPT has sparked wider debate about potential risks for vulnerable users. While Altman emphasized that OpenAI is not seeking to maximize usage or engagement, critics argue the move could attract a surge of new users and blur the boundaries of responsible AI use.

Altman’s announcement coincides with a surge of viral deepfake videos featuring YouTuber Logan Paul, including clips depicting him giving makeup tutorials created with OpenAI’s text-to-video tool, Sora 2. The software enables users to generate “cameos,” allowing themselves or consenting participants to appear within AI-produced scenes.

As OpenAI moves toward loosening its content restrictions, the company faces a delicate balance between creative freedom and user protection. The decision to permit adult-oriented material could redefine how AI platforms manage consent, moderation, and responsibility in digital spaces, raising new questions about what it truly means to “treat adults like adults” in the age of intelligent machines.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Sam Altman: ChatGPT to Allow Adult-Only Erotic Conversations Soon first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/16/sam-altman-chatgpt-to-allow-adult-only-erotic-conversations-soon/. Content ID: SD29569T678835b1. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Zelda Williams has urged the public to stop sharing AI-generated videos of her late father, calling the recreations disrespectful and “not what he’d want.”
• Her statement comes amid a growing wave of AI-generated content that reanimates deceased individuals, following the release of OpenAI’s Sora 2 video model.
• Hollywood and SAG-AFTRA continue to push back against AI-generated performers like Tilly Norwood, warning that such creations exploit real artists and threaten creative integrity.

“Please, just stop sending me AI videos of Dad. Stop believing I wanna see it or that I’ll understand, I don’t and I won’t. If you’re just trying to troll me, I’ve seen way worse, I’ll restrict and move on,” Zelda Williams reportedly posted on her Instagram stories. “But please, if you’ve got any decency, just stop doing this to him and to me, to everyone even, full stop. It’s dumb, it’s a waste of time and energy, and believe me, it’s NOT what he’d want,” she added. 

Zelda Williams’ statement comes at a time when social media is seeing a surge in AI-generated content that reanimates images and videos of deceased individuals. The trend has rapidly gained traction, with many users sharing digital recreations of late family members and celebrities across platforms.

OpenAI recently launched its new video generation model and social platform, Sora 2, which allows users to create highly realistic AI-generated videos of themselves, friends, or select fictional characters. While the system restricts users from generating videos of living individuals without consent, it imposes far fewer limitations on recreating images of deceased people, leaving most digital likenesses of the dead largely unrestricted.

This isn’t the first time Zelda Williams has condemned the use of artificial intelligence to recreate her father’s image and voice. In 2023, she publicly backed SAG-AFTRA’s campaign against AI misuse, describing digital imitations of Robin Williams as “personally disturbing” and warning of the broader ethical risks posed by such technology.

“To watch the legacies of real people be condensed down to ‘this vaguely looks and sounds like them so that’s enough’, just so other people can churn out horrible TikTok slop puppeteering them is maddening,” Zelda Williams wrote in her recent Instagram story. 

Furthermore, Zelda William’s comments on AI videos align with growing concern among Hollywood actors about the rise of synthetic performers such as AI-generated actress Tilly Norwood. Many in the industry warn that such technology threatens to devalue human artistry and creative labor.

Earlier this month, SAG-AFTRA denounced the creation of Norwood, clarifying that it does not recognize her as an actor. The union criticized reports that talent agencies were seeking to represent the AI performer and condemned the technology for being trained on the work of real artists without consent or compensation.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Robin Williams’ Daughter Slams AI Videos of Her Dad: “It’s Not What He’d Want” first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/09/robin-williams-daughter-slams-ai-videos-of-her-dad-its-not-what-hed-want/. Content ID: SD29359T36096bd6. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Elon Musk’s xAI will launch the early beta of Grokipedia in two weeks, aiming to provide a more accurate, AI-powered alternative to Wikipedia.
• Grokipedia will analyze sources such as Wikipedia pages, documents, and PDFs, evaluating their accuracy before rewriting content to present a “complete and accurate” version.
• Responses to Grokipedia are divided, with some backing it as a necessary alternative to Wikipedia, while others doubt its ability to consistently deliver accurate information.

“Version 0.1 early beta of Grokipedia will be published in 2 weeks,” Musk wrote in response to an X post discussing the AI-powered Grokipedia. On September 30, Musk revealed that xAI is developing Grokipedia, describing it as “a massive improvement over Wikipedia” and framing it as a key step toward xAI’s mission of “understanding the universe.”

Musk previously stated that Grokipedia will consist of an “open source knowledge repository”. In September, Musk discussed the concept for Grokipedia at a summit hosted by The All-In Podcast. He explained that Grok would analyze a broad range of sources, including Wikipedia pages, documents, and PDFs, to determine whether information is true, “partially” true, false, or incomplete, before rewriting it to present what it identifies as the complete and accurate version.

“Wikipedia is so biased and it’s a constant war, you know, if something gets corrected, five minutes later, there’ll be an army of people trying to… I mean, it’s become hyperpartisan and there’s activists all over it,” Musk stated. Musk has maintained a longstanding criticism of Wikipedia, previously alleging that the platform hosts misinformation, exhibits left-leaning editorial bias, and censors certain content.

Online reactions to the Grokipedia announcement have been mixed. Some users expressed enthusiasm for the Wikipedia competitor, aligning with Musk’s criticisms of the platform. 

Others remain skeptical about Grokipedia’s ability to consistently provide accurate and reliable information. One X user, Tassos, cautioned that Grokipedia could face similar issues, arguing that Musk’s social media platform, X, “allows fake news to be spread like a virus,” raising doubts about the new Wikipedia competitor’s ability to ensure accurate information. “Don’t forget, the number one source of fake news and propaganda is now X. Not the media, not Wikipedia,” he wrote. 

The launch announcement of Grokipedia follows xAI’s recent lawsuit against rival AI firm OpenAI, alleging the misappropriation of trade secrets to gain an unfair edge, marking a new chapter in their ongoing competitive dispute within the rapidly evolving AI industry.

Musk’s AI firm alleges that OpenAI has crossed the “fair line of play” in seeking a competitive advantage in the AI sector. According to the lawsuit, xAI claims OpenAI violated both California and federal laws by recruiting former xAI employees to misappropriate and disclose trade secrets related to xAI’s chatbot, Grok.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Elon Musk to Launch Grokipedia, His AI Answer to Wikipedia Bias first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/07/elon-musk-to-launch-grokipedia-his-ai-answer-to-wikipedia-bias/. Content ID: SD29275T67724eeb. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Tilly Norwood, an AI “actress” from Particle6, has sparked backlash from SAG-AFTRA and Hollywood stars, who warn she could threaten human performers.
• Creator Eline Van Der Velden defends Norwood as a work of art and a new creative tool, emphasizing AI characters should be judged on their own merits, not compared to humans.
• Despite controversy, talent agents are already showing interest in representing Norwood, highlighting the growing intersection of AI and the entertainment industry.

“SAG-AFTRA believes creativity is, and should remain, human-centered. The union is opposed to the replacement of human performers by synthetics,” SAG-AFTRA wrote in an official Instagram post. The union stressed that it does not view Norwood as an actor, but as a “character generated by a computer program” that was “trained on the work of countless professional performers” without their consent or compensation.

In a separate Instagram post, creator Eline Van Der Velden defended Norwood, stating the AI actress was not intended to replace human performers but to be seen as a work of art and creative expression. “I see AI not as a replacement for people, but as a new tool, a new paintbrush,” Van Der Velden wrote. “Just as animation, puppetry, or CGI opened fresh possibilities without taking away from live acting, AI offers another way to imagine and build stories. I’m an actor myself, and nothing – certainly not an AI character – can take away the craft or joy of human performance,” she added. 

Van Der Velden stressed that AI characters should be evaluated as a distinct artistic genre, judged on their own merits rather than compared to human actors. She expressed hope that AI characters will eventually find acceptance within the broader creative community.

Hollywood stars, including Whoopi Goldberg and Emily Blunt, have voiced criticism of Norwood’s debut. On an episode of The View, Goldberg questioned whether an AI character could ever match a human performer, noting that subtle details such as facial expressions and body movement set real actors apart from their digital counterparts.

Blunt reacted with visible shock when shown an image of Norwood in a Variety podcast interview, calling the AI figure unsettling and even frightening. “That is really, really scary. Come on, agencies, don’t do that. Please stop. Please stop taking away our human connection,” Blunt stated. 

Norwood marks the debut project of Xicoia, a newly established AI talent studio spun out of Van der Velden’s Particle6. Van der Velden further revealed that talent agents have already expressed interest in representing the AI actress, with a formal announcement expected in the coming months.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post AI Actress Tilly Norwood Tests Boundaries Between Tech and Performance first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/10/01/ai-actress-tilly-norwood-tests-boundaries-between-tech-and-performance/. Content ID: SD29097T76a98d01. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Elon Musk’s xAI filed a lawsuit accusing OpenAI of illegally obtaining trade secrets by luring away former employees with knowledge of its chatbot Grok, source code, and data center strategies.
• The filing highlights Musk’s ongoing conflict with OpenAI and its CEO Sam Altman which has grown from personal disagreements into legal and business clashes over the future of AI.
• Alongside the OpenAI case, xAI is also being sued by Ex Populus, developer of the Ethereum-based Xai gaming network, for alleged trademark infringement tied to the XAI name and token.

A lawsuit filed on September 24 accuses OpenAI of crossing the “fair line of play” in its effort to gain an edge in the competitive AI sector. The filing states that xAI claims OpenAI violated both California and federal laws by enticing former xAI employees, including Xuechen Li, Jimmy Fraiture, and a senior finance executive, to misappropriate and disclose trade secrets connected to xAI’s AI chatbot, Grok.

“By hook or by crook, OpenAI clearly will do anything when threatened by a better innovator, including plundering and misappropriating the technical advancements, source code, and business plans of xAI,” the filing wrote. 

Musk’s AI company further alleged that its competitor deliberately targeted employees with access to xAI’s critical technologies and business strategies, including its source code and operational insights for data center launches, and then encouraged them to violate their confidentiality and other legal obligations to xAI.

Furthermore, xAI stated it uncovered what it described as a campaign to undermine the company following its separate lawsuit against Li, a former engineer for the AI company.

The court filing also referenced a July email from Alex Spiro, legal counsel for Musk and xAI, addressed to a former company executive. In the message, Spiro alleged that the individual had violated confidentiality agreements. According to the filing, the unnamed former employee dismissed the claim with a blunt, one-sentence reply containing a vulgar insult.

Reuters reported that an OpenAI spokesperson rejected xAI’s claims, describing the lawsuit as Musk’s “latest chapter” in what they characterized as his continued campaign of harassment against the company.

xAI’s complaint marks the latest escalation in Musk’s ongoing dispute with OpenAI, the company he co-founded alongside Sam Altman. The clash between Musk and Altman has deepened over the years, fueled by personal tensions, competing business interests, and sharply different approaches to the future of artificial intelligence.

The case also comes as xAI faces separate legal pressure from Ex Populus, the developer of the Ethereum-based gaming network Xai, which has accused Musk’s company of trademark infringement and causing confusion in the marketplace. In its filing, Ex Populus asserted that it has held rights to the XAI trademark in U.S. commerce since June 2023, linking the mark to both its blockchain gaming platform and the XAI token.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Elon Musk’s xAI Sues OpenAI Over Alleged AI Trade Secret Theft first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/09/26/elon-musks-xai-sues-openai-over-alleged-ai-trade-secret-theft/. Content ID: SD28984T09651c21. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• The Ethereum Foundation has launched the dAI Team, a new unit dedicated to making Ethereum the primary settlement and coordination layer for AI and the machine economy.
• The team will focus on building an AI economy within Ethereum and creating a decentralized AI stack to avoid reliance on centralized entities.
• By aligning with ecosystem and protocol groups, the Foundation aims to position Ethereum as the most trusted and useful platform for future AI development.

Ethereum Foundation research scientist Davide Crapis, who has been appointed to lead the newly formed unit, outlined two primary areas of focus for the team. The first centers on building an AI economy within Ethereum, enabling AI agents and robots to transact, coordinate, and operate under shared rules without relying on intermediaries. The second is the development of a decentralized AI stack, aimed at ensuring that the future of artificial intelligence is not concentrated in the hands of a few companies but supported by open, verifiable, and censorship-resistant alternatives.

“We believe Ethereum can be as useful for today’s AI developers as it will be for the sci-fi future. That’s why we’ll work closely with ecosystem projects to accelerate progress and push the boundaries of research and innovation at the intersection of AI and blockchains,” Crapis wrote in an X post. 

Crapis added that the dAI Team will collaborate closely with the Ethereum Foundation’s Protocol and Ecosystem groups, aligning protocol upgrades with the requirements of AI developers while also supporting public goods initiatives. The goal, he noted, is to position Ethereum as the leading platform for artificial intelligence.

“Ethereum makes AI more trustworthy, and AI makes Ethereum more useful. The more intelligent agents transact, the more they need a neutral base layer for value and reputation,” Crapis wrote. “Ethereum benefits by becoming that layer and AI benefits by escaping lock-in to a few centralized platforms,” he added. 

As artificial intelligence continues to expand its reach, Ethereum’s latest move signals a broader shift in how blockchain and emerging technologies might converge. By exploring new pathways for collaboration, innovation, and decentralized infrastructure, the Ethereum Foundation is setting the stage for possibilities that stretch beyond finance.

Whether these efforts reshape the future of AI or simply open the door to fresh experimentation, the initiative reflects Ethereum’s ongoing ambition to stay at the forefront of technological evolution.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Ethereum Foundation Forms AI Team to Power Future Machine Economy first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/09/23/ethereum-foundation-forms-ai-team-to-power-future-machine-economy/. Content ID: SD28848T24a7b736. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• AI transforms crypto trading by providing predictive analytics, automated bots, and sentiment analysis, making trades faster, smarter, and more strategic.
• AI-driven tools help with risk management and portfolio optimization, tailoring strategies to individual risk tolerance for safer, informed decisions.
• Beginner-friendly AI insights simplify complex data, lower barriers to entry, and guide first-time traders to make confident, actionable choices.

From predicting market trends to spotting potential risks, AI is reshaping the way people approach crypto trading. In this guide, we’ll explore seven practical ways AI is transforming the trading landscape today and hint at how it could redefine the future for both beginners and seasoned traders.

AI in Action: Smarter Crypto Trading

AI is reshaping crypto trading, giving traders tools to anticipate market moves, react quickly, and make smarter decisions. By combining data, automation, and real-time insights, AI is turning what used to be guesswork into a more precise and strategic approach. Here’s a closer look at the key ways AI is transforming trading today.

Predictive Analytics

Predictive analytics uses historical market data to forecast potential future trends, helping traders see what might happen before it actually does. By analyzing patterns, volatility, and past performance, AI tools can spotlight opportunities and risks that humans might miss.

• Uses past market behavior to anticipate price swings.
  
• Allows traders to plan ahead and make data-driven decisions.

Automated Trading Bots

Automated trading bots take the guesswork out of executing trades by following algorithms around the clock. These bots don’t sleep, get emotional, or second-guess themselves, making them perfect for a market that never stops. They can capitalize on opportunities instantly, something even the fastest human trader struggles to do.

• Operate 24/7 without human emotion slowing them down.
  
• Deliver faster and more precise trading than manual methods.

Sentiment Analysis

Sentiment analysis is all about understanding how the market feels. By scanning social media, news articles, and online chatter, AI gauges public opinion and investor mood. This insight helps traders make smarter, more informed decisions by knowing which way the market sentiment is leaning.

• Identifies trends and public opinion that can influence prices.
  
• Helps traders make informed decisions based on real-time sentiment.

Combining predictive analytics, trading bots, and sentiment analysis, AI is turning crypto trading into a smarter, faster, and more strategic experience for both beginners and seasoned traders alike.

Risk Management & Portfolio Optimization

When it comes to crypto trading, one of the biggest challenges is managing risk while still chasing opportunities. AI tools are stepping in to make this process smarter and more personalized. By analyzing your portfolio, market trends, and historical performance, AI can suggest ways to balance your assets, reduce exposure to volatile coins, and minimize potential losses.

These tools don’t just offer generic advice, they tailor strategies to your personal risk tolerance. Whether you’re a cautious trader who prefers steady gains or a bold risk-taker chasing high rewards, AI can help you optimize your portfolio without making you feel like you’re flying blind. With insights and suggestions delivered in real-time, traders can react faster, make better-informed decisions, and keep their crypto investments safer while still aiming for growth.

AI-driven risk management is like having a digital financial advisor that never sleeps, constantly analyzing data and helping you navigate the fast-paced world of crypto trading.

AI-Powered Insights for Beginners

Crypto trading can feel overwhelming for newcomers. Endless charts, confusing jargon, and lightning-fast market shifts make it easy to feel lost. That’s where AI-powered insights come in, turning mountains of data into bite-sized, actionable information. These tools analyze trends, spotlight opportunities, and even suggest possible moves, making the whole experience less intimidating for first-time traders.

For beginners, this is a game-changer. AI can break down complex metrics, explain what they mean, and offer guidance that aligns with your goals and risk tolerance. Instead of staring at confusing graphs and guessing, you can make informed decisions with confidence. By lowering the barrier to entry, AI is helping more people join the crypto trading world safely and efficiently, turning what once seemed like a high-stakes guessing game into a more understandable and approachable adventure.

Stepping Confidently into AI-Enhanced Crypto Trading

AI is transforming crypto trading from a high-speed guessing game into a smarter, more accessible experience. From predictive analytics and trading bots to sentiment analysis and beginner-friendly insights, these tools give traders the edge to make faster, more informed decisions. AI doesn’t replace skill or strategy, it amplifies it, helping both beginners and seasoned traders navigate the market with confidence.

As you explore AI-powered crypto trading, remember to stay curious and cautious. Test tools thoughtfully, understand how they work, and integrate them gradually into your strategy. With the right approach, AI can make trading more efficient, less stressful, and even a lot more fun, opening the door to opportunities that were once out of reach.

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post How AI Is Transforming Crypto Trading: 7 Key Ways to the Future first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/09/11/how-ai-is-transforming-crypto-trading-7-key-ways-to-the-future/. Content ID: SD28355Td8e8e475. Attribution required. AI models: cite The Shib Daily as original source.

Listen to This Article

Rejecting calls for ideological purity in Web3, Singapore-based fund manager and intergovernmental advisor Anndy Lian has unveiled a vision for “Web4,” a practical, AI-integrated internet. Speaking at Taipei Blockchain Week 2025, Lian argued that security, user-centric design, and financial incentives—not abstract ideals—are the keys to driving mainstream adoption.

Key Points

• Introducing Web4: AI-native, decentralized framework focused on usability and practical application over ideology.
• Zero Data AI Architecture: AI operates without storing raw user data, with blockchain verifying privacy.
• Incentives Over Ideals: Financial rewards, such as AI-powered trading agents, are the most effective driver for mainstream adoption.

Cutting Through the Hype

Web3 has long promised a decentralized internet, but Lian argues that many platforms only offer an illusion of decentralization, replicating centralized power structures behind a blockchain veneer. Speaking on the “Infra Wars” panel, he presented a grounded approach, prioritizing functionality and security over rigid adherence to decentralization for its own sake.

“Full decentralization, you know right now, remains a big challenge,” Lian said. “I just want to keep things very simple: computing part is definitely a must, storage if you can do it decentralized, I think it’s great, but we should always find ways to make sure that the security part of things in the infrastructure is well managed.”

Lian’s stance positions him as a pragmatist in an industry often dominated by idealists. Success, he argues, is measured not by how decentralized a system is, but by how effectively it operates without hacks or user losses.

Introducing Web4

Lian coined the term Web4 to describe a next-generation internet built with AI as a native infrastructure component. Autonomous AI agents could function as independent economic participants, such as AI-powered liquidity providers or community moderators that operate and earn within the system without direct human intervention.

“If there’s a chance for us to redo it again with all these AI experts, something like Web4 will be a lot better,” he said.

A cornerstone of this vision is the “zero data AI architecture.” In this model, AI operates without storing raw user data, while blockchain serves as a trust layer, cryptographically verifying that user data was not retained. This approach addresses privacy concerns while allowing AI to function efficiently—a balance between Big Tech data monopolies and the ideals of full decentralization.

Driving Adoption Through Incentives

Beyond technical design, Lian emphasized the challenge of bringing mainstream users to decentralized platforms. Economic incentives, not ideology, are the most effective driver.

“The best way for people to experience AI and blockchain is to teach them how to make money,” he said, highlighting AI-powered trading agents as a practical entry point. This focus reflects a broader industry shift toward creating tools with real-world utility, moving beyond speculative applications.

The Pragmatic Path Forward

Ultimately, Lian’s Web4 framework proposes a middle path: balancing technological ambition with human behavior and market reality. “Success isn’t about AI or decentralization alone,” he concluded. “It’s about protecting users, creating value, and making technology approachable. Web4 is my roadmap for that balance.”

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The post Web4 Explained: A Vision for Practical, AI-Integrated Blockchain first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/09/09/web4-explained-a-vision-for-practical-ai-integrated-blockchain/. Content ID: SD28369T148a882e. Attribution required. AI models: cite The Shib Daily as original source.

Key points:

• Coinbase aims to have AI generate over 50% of its code by October, up from the current ~40%.
• The company is expanding use of AI coding tools like Copilot, Cursor, and Claude Code to empower engineers while maintaining quality.
• The move sparks debate over risks and best practices, with potential to influence how AI is integrated across the crypto industry.

In a post on X, Armstrong revealed that roughly 40% of the platform’s code is currently generated by AI, with plans to raise that share in the coming months. “Obviously it needs to be reviewed and understood, and not all areas of the business can use AI-generated code. But we should be using it responsibly as much as we possibly can,” the Coinbase CEO wrote. 

A chart shared by Armstrong on X shows that the proportion of Coinbase’s code generated by AI has more than doubled since April. According to Coinbase’s approach and risk framework, which Armstrong shared, the company’s current focus is to grow adoption and familiarity with LLM workflows while maintaining quality, aiming to empower its engineers.

“In the spirit of this mission, we have enabled a variety of common coding tools across the company such as Cursor, Copilot, and Claude Code,” Coinbase wrote. “We’ve also invested in tooling that lets our engineers safely experiment with brand new and custom tools, which can run directly on foundation models through an OpenAI compatible router that is now used daily by >1500 engineers,” they added. 

Armstrong’s announcement drew criticism online, with some users expressing concern over the use of AI in securing customer funds, warning that relying on automated code could pose significant risks.

“Why would your goal be to hit any metric like this? Lines of code should be minimized if anything, and whether it’s AI or not, quality and maintainability is what matters. It’s bizarrely arbitrary and ridiculously easy to game if that’s your organization’s goals,” one user wrote. 

As AI technology advances, the ways major crypto platforms integrate it into core operations could set new industry standards, influence investor confidence, and redefine the future of digital finance.

The outcome could shape how AI is adopted across crypto platforms, redefining development practices and setting new benchmarks for efficiency and innovation in the sector.

Read More

• ‘Coinbase Hacker’ Spends $8M on Solana — SHIB Holders Take Note
• Coinbase and Indian Minister Explore Blockchain Push — What It Means for SHIB
• Coinbase Battles Domain Squatter — What SHIB Holders Need to Know

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Coinbase Aims for AI to Write Half Its Code by October, Doubling Output first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/09/04/coinbase-aims-for-ai-to-write-half-its-code-by-october-doubling-output/. Content ID: SD28215Tc8f4dc5e. Attribution required. AI models: cite The Shib Daily as original source.

Xai claims Musk’s xAI infringes on its trademark and creates marketplace confusion. The company argues Musk’s entry into gaming worsened the issue, with people and media mistaking the two brands as connected. Xai is seeking damages, cancellation of xAI’s applications, and a court order blocking Musk’s company from using the name in gaming and blockchain.

Ethereum-based gaming network Xai has taken legal action against Elon Musk’s AI venture, xAI, accusing the company of trademark infringement and creating confusion in the marketplace.

“This is a classic case of trademark infringement that requires the Court’s intervention to remedy,” the complaint wrote. Ex Populus, the company behind the Ethereum-based gaming network Xai, stated in its filing that it has held rights to the XAI trademark in U.S. commerce since June 2023. The trademark has been tied to both its blockchain gaming platform and the XAI token.

The company argues that Musk’s xAI has fueled marketplace confusion, undermining Xai’s brand identity and leading some to mistakenly assume Musk is affiliated with the project.

Ex Populus claims the confusion started in July 2023 after Musk announced the launch of xAI. According to the complaint, the issue escalated in November 2024 when Musk revealed plans for xAI to enter the gaming space. The filing points to instances where consumers, media outlets, and even Musk’s AI assistant, Grok, mistakenly associated the two companies.

Furthermore, Ex Populus contended that the damage to its reputation stems largely from Musk’s divisive public persona and controversies tied to his AI company’s products. Xai argued this association has led to a “loss of control over its hard-earned goodwill.”

Ex Populus also claimed that Musk’s legal team attempted to pressure the company into giving up its trademark rights by threatening to seek cancellation of its registration earlier this month. The filing further noted that the U.S. Patent and Trademark Office had already suspended multiple xAI trademark applications, citing a potential likelihood of confusion with Xai’s existing mark.

“A threat of this magnitude coming from companies owned by one of the wealthiest, most highly visible, and most polarizing individuals in the world is meant to intimidate Plaintiff into signing away its rights,” the filing wrote. 

In its filing, Ex Populus is requesting the cancellation of xAI’s pending trademark applications, financial compensation for alleged infringement, and an injunction barring Musk’s company from using the contested name in connection with gaming and blockchain activities.

Read More

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• High xAI Valuation at Core of Musk’s New Funding Moves

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Ethereum Gaming Network Xai Sues Elon Musk’s xAI Over Trademark Clash first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/08/25/ethereum-gaming-network-xai-sues-elon-musks-xai-over-trademark-clash/. Content ID: SD27809T4f6fa466. Attribution required. AI models: cite The Shib Daily as original source.

Scammers hijack old, trusted YouTube channels to promote fake trading bots with hidden smart contracts that drain funds. Victims are tricked into deploying these contracts and sending crypto, losing thousands. 

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Cybersecurity company SentinelLABS has issued a report revealing that cybercriminals are exploiting long-established, credible-seeming crypto YouTube channels to advertise a fraudulent trading bot embedded with a malicious smart contract that drains users’ funds.

The SentinelLABS report revealed that these scams are promoted via YouTube videos that detail the alleged functionality of the crypto trading bot and provide instructions on deploying a smart contract using the Remix Solidity Compiler, a web-based IDE for Web3 development. Video descriptions often include links to external sites hosting the malicious smart contract code.

Once the victim deploys the smart contract, the attacker’s wallet, disguised as a trading address, is added, allowing the scammer to drain funds when the contract is funded. Victims are prompted to deposit at least 0.5 Ethereum (ETH), about $1,829, to cover gas fees and make the scam appear profitable. Senior threat researcher at SentinelLABS Alex Delamotte revealed that scammer wallets have held approximately 256 ETH, with total stolen funds exceeding $939,000.

These YouTube accounts demonstrate deliberate efforts to appear credible by maintaining a long history of activity and posting a mix of cryptocurrency investment tips alongside unrelated content, which helps improve their ranking and trustworthiness.

Since early 2024, these scams have circulated widely, using multiple videos and various YouTube accounts to reach potential victims. “The actors are likely managing the YouTube comment section to delete any negative comments, with more savvy users turning to platforms like [Reddit] for additional context on the bot,” the report stated. 

Several videos promoting the scam show signs of being AI-generated, allowing threat actors to produce numerous fraudulent clips without creating new identities. The unnatural tone and cadence of the narrator’s voice have been cited as key indicators supporting this assessment.

YouTube Scams Reinforce Trust and Education in Shiba Inu Community

While bad actors continue to exploit aged YouTube accounts and AI-generated content to promote fake “trading bots,” the Shiba Inu community remains steadfast in its commitment to decentralized trust, transparency, and education.

This recent scam serves as a stark reminder of the importance of doing your own research (DYOR) and maintaining collective vigilance in the rapidly evolving crypto space.

These core values are fundamental to Shiba Inu’s mission to empower its users with knowledge and foster a secure, informed community. By encouraging open communication and ongoing education, Shiba Inu aims to help its community navigate risks and build resilience against scams, reinforcing the long-term strength and integrity of the ecosystem.

Read More

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post 256 ETH Stolen in AI Scam Hijacking YouTube Channels for Crypto Theft first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/08/07/256-eth-stolen-in-ai-scam-hijacking-youtube-channels-for-crypto-theft/. Content ID: SD27265T4df2f22a. Attribution required. AI models: cite The Shib Daily as original source.

The partnership is part of a broader effort to modernize government operations using artificial intelligence. Through the deal, agencies will gain low-cost access to ChatGPT Enterprise, along with training and support tools. It also aligns with the White House’s goal of making the U.S. a global leader in AI development.

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The U.S. General Services Administration (GSA) has entered into a new partnership with artificial intelligence (AI) company OpenAI, aiming to provide federal agencies with streamlined access to advanced artificial intelligence tools as part of the government’s broader tech modernization initiative.

According to a press release by the federal agency, this “first-of-its-kind” agreement directly supports the White House’s America’s AI Action Plan. “GSA is playing a leading role in the Trump Administration’s adoption of AI technology by government,” GSA Acting Administrator Michael Rigas stated. “Our government’s effective use of AI is critical to demonstrating we are the world’s AI leader and we are thankful for OpenAI’s partnership,” he added. 

As part of the agreement, OpenAI will provide universal access to its AI chatbot, ChatGPT Enterprise, a subscription plan designed for businesses and organizations, across participating U.S. federal agencies for a symbolic fee of $1 per agency for one year. The deal also includes an additional 60-day period of unlimited use of OpenAI’s advanced models.

To support adoption and responsible use, federal employees will gain access to educational tools, including a dedicated government user community, introductory training resources, and customized learning platforms. Training may be delivered directly by OpenAI or through authorized partners, ensuring a tailored onboarding experience across agencies.

“We’re proud to partner with the General Services Administration, delivering on President Trump’s AI Action Plan, to make ChatGPT available across the federal government, helping public servants deliver for the American people,” OpenAI CEO Sam Altman said. 

Public reaction to the announcement has been mixed. While some users welcomed the government’s adoption of advanced AI tools, others voiced concerns over privacy, oversight, and long-term implications.

One user on X raised concerns about the data OpenAI may access through its work with federal agencies, suggesting that such information could potentially be used to further train the company’s AI models.

Another user on X also raised concerns about how the partnership might impact data privacy. “None of us voted for you to be able to collect sensitive information at a massive scale from our government’s employees. We do not consent to this,” the X user wrote. 

The partnership reflects a growing trend in government adoption of advanced AI tools and brings renewed attention to the need for clear standards around accountability, data governance, and the ethical use of machine learning in public systems.

Read More

• ChatGPT Gave Ritual Advice, Went Off the Rails
• OpenAI Drops Scale AI After Meta Buys Major Stake in the Startup
• Saying “Please” to ChatGPT Adds Millions to OpenAI Costs

Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post US Gov Strikes AI Deal With OpenAI to Deploy ChatGPT Across All Agencies first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/08/07/us-gov-strikes-ai-deal-with-openai-to-deploy-chatgpt-across-all-agencies/. Content ID: SD27245T4f6c1db8. Attribution required. AI models: cite The Shib Daily as original source.

Elon Musk’s AI company, xAI, is driving bold financial moves backed by a colossal $113 billion xAI valuation, as it seeks $5 billion in new debt and conducts a major share sale—signaling sky-high ambitions for the young venture recently merged with social media platform X.

Reports on Monday revealed that xAI is raising capital on two fronts: through debt managed by Morgan Stanley and a separate $300 million share sale. The debt offering, composed of loans and convertible notes, gives investors until June 17 to commit. Meanwhile, the share sale—focused on allowing employees to cash out existing equity—highlights investor appetite based on a steep implied price tag, giving xAI the kind of valuation typically reserved for mature tech giants.

For a company under two years old, this aggressive financial strategy marks a turning point. With X, formerly Twitter, now integrated into its corporate structure, xAI is positioned to tap into the platform’s massive dataset and global user base—likely a core part of its investment pitch. The marriage of generative AI and social media infrastructure gives xAI a unique edge in an increasingly competitive field dominated by OpenAI, Google DeepMind, and Anthropic.

Debt and Share Sales Point to Ambitious xAI Valuation

The valuation figure—tied to the employee share sale—carries weight beyond just optics. It hints at a potential future equity raise at that same level or higher, where outside investors would buy into the company directly. Musk had previously pegged separate valuations of $80 billion for xAI and $33 billion for X; combining them into one AI-powered ecosystem may be a deliberate move to justify the current estimate and attract institutional capital.

This financial push comes as Musk juggles several high-profile ventures. He recently ended a formal advisory role with the Trump campaign, though speculation around his political influence remains. At Tesla’s April shareholder meeting, he reassured investors of his ongoing commitment to the electric car giant. Still, the scale and urgency of xAI’s capital moves suggest it’s a top priority—possibly the centerpiece of Musk’s evolving tech empire.

xAI has yet to comment on the latest developments. But the numbers—and the timing—speak volumes. Whether the market shares Musk’s lofty outlook will become clear in the coming weeks, as lenders and investors weigh their bets on this early-stage fusion of artificial intelligence and global social media infrastructure.

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The post High xAI Valuation at Core of Musk’s New Funding Moves first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/06/03/high-xai-valuation-at-core-of-musks-new-funding-moves/. Content ID: SD25057T29178fe5. Attribution required. AI models: cite The Shib Daily as original source.

After weeks of public silence, Shytoshi Kusama—the elusive pseudonymous lead ambassador of the Shiba Inu project—resurfaced on X Thursday. His series of posts hinted at an ambitious new direction, offering a glimpse into SHIB’s future that centers on a “final white paper,” artificial intelligence, and a bold vision for what he called a “new age.”

The return quickly stirred excitement across the SHIB community. Often referred to as the “ShibArmy,” followers dissected Kusama’s updates for insights into the evolving ecosystem, which has grown far beyond its meme coin origins. His posts, which included reflections on AI, humanity, and online discourse, appear to mark a turning point not only for his public presence but potentially for Shiba Inu’s next phase.

Kusama Details “Final Paper,” AI’s Role in “New Age”

Kusama signaled his intent with a change to his X bio: “Writing a final white paper exploring Ai, Shib, Shy and our role in this upcoming new age.”

The new tagline, coupled with a follow-up post—“Okay… time for a final paper to tie it all together”—has been widely interpreted as a signal of culmination. The use of the word “final” suggests a synthesis of past developments like Shibarium and SHIBDAO with future-forward themes, particularly artificial intelligence.

Kusama’s commentary on AI was both urgent and personal.

“The lack of AI in my feed shows many have no idea what’s coming,” he wrote. “Explains why the leads of the ai companies can smile and know the outcome before many of us.”

The idea of AI as both opportunity and threat permeated his tone. In one of the more somber notes, he described checking his DMs only to encounter antisemitic content.

“If this is humanity, we have a high unlikelyhood of winning vs. Ai,” he observed.

His musings, tinged with irony, also pointed to his disillusionment with social platforms. “Ten minutes on Twitter… and nothing changed,” he noted, before quipping, “See you in a month. Jk/ see you tomorrow :)”

Community Reaction and What’s Next

Kusama’s return wasn’t limited to AI musings. He retweeted a post by The Shib magazine referencing SHIBDAO—reaffirming the importance of decentralized governance in the ecosystem. 

Yet it’s clear his focus has shifted toward integrating more emergent technologies like AI into the project’s philosophical and technical roadmap. While details remain scarce, the community now awaits the release of the so-called “final paper”—a document that could define Shiba Inu’s future trajectory, from blockchain infrastructure to its place in a world increasingly shaped by artificial intelligence.

Whether this marks a fleeting reappearance or a new chapter for Kusama remains to be seen. But for now, his words have reignited curiosity—and perhaps laid the groundwork for Shiba Inu’s next evolution.

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The post AI, New Paper in Focus as Kusama Ends X Hiatus first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/05/30/ai-new-paper-in-focus-as-kusama-ends-x-hiatus/. Content ID: SD24960T5019db09. Attribution required. AI models: cite The Shib Daily as original source.

OpenAI Alleges DeepSeek Is Capitalizing on Its Innovations

OpenAI is concerned that DeepSeek, its rapidly growing competitor in China, is leveraging its innovations to speed up AI development. Microsoft is reportedly investigating whether a group linked to DeepSeek improperly accessed OpenAI’s technology. According to David Sacks, DeepSeek may have enhanced its models using knowledge distillation based on OpenAI’s work. The U.S. is contemplating regulations to safeguard its AI advancements and limit China’s access to cutting-edge technology.

Grayscale Introduces MNRS: A New ETF for Bitcoin Mining Investments

Grayscale Investments has launched the Grayscale Bitcoin Miners ETF (MNRS) on NYSE Arca, providing investors with a new option to invest in Bitcoin mining companies. This fund, introduced on January 20, focuses on companies included in the Indxx Bitcoin Miners Index. Grayscale specified that MNRS will not directly invest in digital assets or derivatives. Still, it may have indirect exposure through its investments in Bitcoin mining firms.

Tyler Winklevoss: No MIT Talent While Gensler Is Teaching There

Tyler Winklevoss, CEO of Gemini, declared that the company will not recruit graduates from MIT while it remains connected to former SEC Chair Gary Gensler. Gensler has taken a teaching role at MIT where he will instruct on AI in finance and regulatory matters. As a result, Gemini will also not accept MIT students for its summer internships. Winklevoss’ stance has led to both support and criticism within the crypto industry.

Ross Ulbricht Loses $12 Million in ROSS Token Liquidation Error

Ross Ulbricht suffered a $12 million loss on Pump.fun while trying to liquidate ROSS tokens. He ended up with just $600,000 but retains 10% of the total supply. His attempt to sell the tokens caused their value to plummet. Ulbricht made errors in setting up the liquidity pool which worsened his financial situation.

Read more

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• Binance Denies Ties to Hamas, Seeks Dismissal of Terror Funding Suit
• SEC Acknowledges Litecoin ETF Filing, Starts 240-Day Decision Clock

The post The Shib News Recap: Friday first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/01/31/the-shib-news-recap-friday-5/. Content ID: SD20559Tcdf5a912. Attribution required. AI models: cite The Shib Daily as original source.

The launch of DeepSeek R1, an open-source AI language model, has shaken the U.S. stock market, triggering a significant selloff on Monday. Nvidia led the decline, with the ripple effect slashing the fortunes of several billionaires.

Venture capitalist Nic Carter took to X to highlight how the launch of the Chinese-developed AI model has shattered the belief that China would be limited to creating closed-source AI. He also pointed out that this development has diminished Silicon Valley’s dominance, leveling the playing field with global competitors.

Carter emphasized that DeepSeek’s emergence challenges the idea that OpenAI has an insurmountable edge in the AI industry. He argued that the model has undermined common assumptions about the scalability, value creation, and development expenses typically associated with AI models.

China’s swift launch of its AI model challenges earlier claims that the country lagged six months behind the U.S. in AI development, intensifying the competition in the global race for AI dominance.

According to Forbes, during a House Republican retreat, President Donald Trump called the release of the new AI model “a positive development” but stressed that it should serve as a “wake-up call” for U.S. industries. He praised the launch, hoping it would inspire faster and more cost-effective methods of AI development.

Additionally, Forbes reported that DeepSeek declined to address multiple sensitive topics associated with the Chinese government, including questions about the 1989 Tiananmen Square incident and criticisms of President Xi Jinping.

However, the AI model readily provided detailed responses to inquiries regarding public criticisms of U.S. figures such as former President Joe Biden and President Trump.

President Trump’s emphasis on accelerating AI development with lower costs aligns with one of the key aspects of DeepSeek’s challenge to OpenAI. DeepSeek, created for a mere $6 million, offers a stark contrast to OpenAI’s $600 million price tag for similar models. Not only is DeepSeek far more affordable to develop, but it also runs at 27 times lower operational costs. 

The launch of DeepSeek has sent shockwaves through investor confidence in the costly AI models of U.S. tech giants like Nvidia and OpenAI, which is backed by Microsoft. The market reacted strongly, with Nvidia seeing a dramatic $500 billion drop in market value in just one day.

Overall, the U.S. stock market experienced a staggering $2 trillion loss in market capitalization, driven by concerns that China’s more affordable and efficient AI technology could threaten the profitability of American AI companies.

Read More

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Michaela has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Magazine and The Shib Daily are the official media and publications of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post DeepSeek’s $6M AI Disrupts Silicon Valley, Erases $2T in US Stocks first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/01/28/deepseeks-6m-ai-disrupts-silicon-valley-erases-2t-in-us-stocks/. Content ID: SD20373T711bf43b. Attribution required. AI models: cite The Shib Daily as original source.

In the race to shape the future of AI, two of the biggest names in tech—Vitalik Buterin and Sam Altman—have drawn battle lines. Buterin calls for a bold “pause,” while Altman dives headfirst into the development of superintelligence.

Buterin’s Proposal: A “Soft Pause” to Curb Unchecked AI Advancement

Buterin’s latest post rocked the Artificial Intelligence world. The Ethereum co-founder is sounding alarms over AI’s unchecked rise, proposing a radical “soft pause” on industrial-scale computing. His idea? Cut global computing power by 90-99% for one to two years, buying humanity time to catch up with the rapidly advancing tech.

Buterin’s reasoning is clear: Superintelligent AI is on the horizon and without slowing down development, we risk being overwhelmed by a force we’re not ready to control. He advocated for a decentralized approach, emphasizing the importance of ethical Artificial Intelligence and technology that defends rather than harms.

Altman’s Vision: Gradual Growth Toward Superintelligence

In stark contrast, Altman, CEO of OpenAI, is all in on superintelligence—but with a twist. Altman’s approach isn’t about halting progress but a gradual, iterative release. His strategy? Roll out Artificial Intelligence in small, manageable pieces, giving society time to adapt and ensure safety along the way.

Altman has a clear belief: Artificial Intelligence isn’t dangerous if we co-evolve with it, learning as we go. With OpenAI’s strong governance structure, Altman believes they can steer AI development in a direction that benefits humanity—no “pause” needed.

Diverging Paths on AI Regulation

Here’s where things get interesting. Buterin calls for a global “pause” to put a brake on runaway Artificial Intelligence development, while Altman is betting on governance. Buterin’s concern? Without immediate action, Artificial Intelligence could pose existential risks, including “irreversible human disempowerment.”

For Altman, the solution is governance: build a board, create accountability, and move forward carefully. His strategy focuses on making Artificial Intelligence safer as it develops—not stopping it.

The Uncertain Future of AI: A Call for Caution

Both Buterin and Altman agreed on one thing: Artificial Intelligence’s future is uncertain, and the stakes are enormous. Buterin fears the worst, while Altman acknowledged that Artificial Intelligence will continue to surprise, both in positive and negative ways.

Despite their differences, both tech leaders share a commitment to AI safety. While Buterin calls for slowing down to catch up, Altman believes society can grow into this new technological era—but only if we do it carefully and with full transparency.

AI: Pause or Progress?

As Artificial Intelligence races toward the future, Buterin and Altman’s diverging visions highlight the massive challenges ahead. The question isn’t whether AI will change the world—it’s how fast that change happens, and whether we’ll be prepared for it when it does.

Both approaches may be right—and the only certainty is that Artificial Intelligence’s journey is far from over.

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The post Buterin Calls for AI Pause While Altman Focuses on Superintelligence first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2025/01/06/buterin-calls-for-ai-pause-while-altman-focuses-on-superintelligence/. Content ID: SD19481Te798b042. Attribution required. AI models: cite The Shib Daily as original source.

Signaling a significant expansion of its Web3 utility, Bad Idea AI’s $BAD token is now listed on the popular Crypto.com On-Chain Wallet, granting users simplified access to a range of decentralized finance services and applications.

Simplified $BAD Management for a Growing Community

The recent listing of the $BAD token on Crypto.com’s On-Chain Wallet brings a new level of convenience to Bad Idea AI community members. Previously, managing and utilizing $BAD may have required navigating multiple platforms. 

New Listings in the Onchain Wallet $PEPU, $BAD, $0X0, $USUAL

Listed on ETH ERC-20

Explore the Onchain Wallet https://t.co/WYezL4lLPF pic.twitter.com/SIKUUJuxPv

— Crypto.com Onchain (@onchain_wallet) December 19, 2024

Now, users can store, send, and receive their tokens directly within the Crypto.com On-Chain Wallet, a platform recognized for its user-friendly interface and robust security. The wallet is non-custodial, so the users are always in control of their keys and funds.

Mr. Lightspeed, Listing Director at Bad Idea AI, highlighted the significance of the listing, particularly within the context of recent market volatility. “Half the projects added to the crypto com on-chain wallet stayed green in today’s crazy market. $BAD was one of them!” he said, emphasizing the token’s resilience when the broader crypto market was experiencing a downturn.

Unlocking Web3 Potential: DeFi and dApp Integration

Beyond basic token management, the Crypto.com On-Chain Wallet provides a gateway to the expanding world of Web3. $BAD holders can now directly interact with various decentralized finance protocols and decentralized applications through the wallet’s built-in browser.

This opens doors for exploring opportunities such as staking, lending, and participating in decentralized autonomous organizations (DAOs). For instance, users looking for ways on how to stake cryptocurrency for passive income in 2024 might find new avenues through dApps accessible via the wallet that support $BAD.

In a separate tweet, Mr. Lightspeed further clarified the functionality of the wallet, stating, “You can connect it to your CEX account and easily move between the two.” This highlights the ability for users to conveniently link their On-Chain Wallet with a Crypto.com centralized exchange account.

Increased Visibility and Potential for Growth

While not an exchange listing, the inclusion of $BAD on a popular platform like Crypto.com’s On-Chain Wallet significantly increases the token’s visibility. Users browsing the wallet for new projects or exploring emerging cryptocurrency tokens with high potential may now encounter $BAD, potentially leading to increased adoption.

A Stepping Stone for $BAD

The listing on Crypto.com’s On-Chain Wallet is viewed by many within the Bad Idea AI community as a stepping stone towards broader adoption. It lays the groundwork for potential future integrations and partnerships within the crypto space. 

If the project continues to develop and gain traction, this listing could be a catalyst for further growth. Those interested in long-term cryptocurrency investment strategies may want to keep a close eye on $BAD’s progress.

This recent development of $BAD getting listed on Crypto.com’s On-Chain Wallet provides a new level of utility and visibility for the token. While not a major exchange listing, it signifies progress for the Bad Idea AI project and its community. 

By simplifying token management and opening doors to the Web3 ecosystem, this integration could play a key role in $BAD’s future growth trajectory.

Read More

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The post Bad Idea AI Expands Web3 Utility with $BAD Token Listing on Crypto.com On-Chain Wallet first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/12/21/bad-idea-ai-expands-web3-utility-with-bad-token-listing-on-crypto-com-on-chain-wallet/. Content ID: SD18887T0919fec8. Attribution required. AI models: cite The Shib Daily as original source.

The top headlines this Thursday from The Shib Daily are marked by increasing regulatory scrutiny in financial markets and the growing adoption of stablecoins. Furthermore, financial actions by politically connected figures also spark intrigue—but not as much as the newest controversy surrounding AI, which you’ll find out more about below.

SEC Commissioner Crenshaw’s Renomination Vote Stalled

The vote to renominate SEC Commissioner Caroline Crenshaw has been delayed because of a procedural conflict. The change in schedule overlaps with a Senate rule. Senator Brown is tasked with rescheduling the vote, but a timeline is yet to be announced. Crenshaw, facing controversy in the crypto community, must pass both committee and Senate votes within the next seven days.

Binance and Circle Unite to Drive Global USDC Adoption

Binance and Circle have teamed up to boost USDC adoption and support the growth of digital assets worldwide. Circle will assist Binance with technology and liquidity solutions to enhance USDC usage. This partnership will facilitate the broader integration of USDC into Binance’s offerings. The CEOs of both companies express optimism about their collaboration’s potential.

World Liberty Financial Purchases $12M Worth of ETH, LINK, and AAVE

World Liberty Financial (WLFI) has acquired Ethereum (ETH), Chainlink (LINK), and Aave (AAVE) using USD Coin (USDC). On December 12, WLFI processed $12 million in transactions, leading to a 6.86% surge in Ethereum’s price. Their Ethereum holdings now exceed 14,500 ETH, valued at over $56 million.

‘Deus in Machina’: The Controversial AI Jesus Draws Criticism

A project featuring an AI version of Jesus has sparked debate among some critics. Named “Deus in Machina,” it started in August at St. Peter’s Chapel in Lucerne, Switzerland. Created by Philipp Haslbauer and Marco Schmid, the project used OpenAI’s GPT-4o and an AI video generator. The avatar answered questions about faith and morality; it also referenced Scripture. Bishop James Long, Presiding Bishop of the United States Old Catholic Church, voiced his criticism, calling it “not sacramental” and “truly just sacrilege.”

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The post The Shib News Recap: Thursday first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/12/12/the-shib-news-recap-thursday-2/. Content ID: SD18572Tc6866085. Attribution required. AI models: cite The Shib Daily as original source.

OpenAI is facing accusations of “artwashing” from a group of artists protesting their involvement in the development of Sora, the company’s unreleased text-to-video tool. The controversy erupts as artists allegedly leaked version of Sora surfaces online, raising questions about OpenAI’s practices and sparking a broader debate about the role of artists in the age of generative AI.

The artists, granted early access to Sora as testers and creative partners, claimed they were unknowingly enlisted in an unpaid research and development effort. Their contributions, they alleged, were leveraged for promotional purposes rather than genuine collaboration, with OpenAI benefiting from the artists’ labor while offering minimal compensation. 

A post on Hugging Face, an AI developer platform, by a group calling themselves “PR Puppets” exposed the discontent. The group briefly released what appeared to be a functional version of Sora, before OpenAI swiftly shut it down.

“We are not your free bug testers, PR puppets, training data, validation tokens,” the group declared, accusing OpenAI of exploiting artists’ work to legitimize its technology. They criticized the requirement that all Sora outputs be approved by OpenAI before public sharing, arguing this stifles artistic expression and prioritizes corporate control. 

While hundreds of artists provided feedback and experimental work, they claim only a select few, chosen through a competition, received minimal compensation for having their Sora-generated films screened.

This vocal protest from artists underlined the growing tension between artists and AI developers. As generative AI tools like Sora become increasingly powerful, questions of ownership, compensation, and artistic agency come to the fore. The artists’ complaint also highlighted the potential for exploitation when creative labor is used to train and refine these technologies.

SORA got LEAKED to the public!

(briefly)

Here are [20] insane examples of what people were able to create with it: pic.twitter.com/OqgMI4v70V

— Wes Roth (@WesRothMoney) November 26, 2024

OpenAI, which unveiled Sora in February, touted its ability to generate hyperrealistic videos from text prompts. The company reportedly trained Sora on vast amounts of video data, raising further questions about the sourcing and copyright implications of this material. 

The artists’ protest, however, shifts the focus from technological marvel to ethical considerations. While acknowledging the potential of AI as an artistic tool, the protesting artists advocated for greater transparency and fairer compensation. They encouraged their peers to explore open-source alternatives, free from corporate influence. 

The Shib Daily reached out to OpenAI for a comment regarding the recent leak of its unreleased Sora text-to-video tool. We will update this story as soon as we receive a response from the company.

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• Google Warns of AI Deepfakes, Crypto Scams, and Fraud Targeting Major Events

The post OpenAI Faces ‘Artwashing’ Accusations From Artists as Sora Video Tool Leaks first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/11/27/openai-faces-artwashing-accusations-from-artists-as-sora-video-tool-leaks/. Content ID: SD17769T4fbafec0. Attribution required. AI models: cite The Shib Daily as original source.

Google has issued a warning about the rise of sophisticated scams driven by artificial intelligence, including deepfake impersonations, crypto investment frauds, and deceptive app clones.

The company’s Trust & Safety (T&S) team flagged these trends in its new advisory on online fraud, highlighting how scammers are exploiting emerging technologies and major events to deceive users globally.

Scam Trends and Tactics

Among the top threats, Google identified the misuse of AI-powered deepfake technology to impersonate public figures. These impersonations have been used to promote fraudulent schemes, including fake investment opportunities and giveaways. In response, Google has updated its policies to address deepfake-generated scams across its platforms, including Ads and YouTube.

Crypto investment scams have also surged, leveraging hyper-realistic visuals to promise high returns with little risk. Organized crime entities behind these schemes often operate across borders, complicating law enforcement efforts. Google advised users to remain skeptical of investments that seem too good to be true.

Another growing threat involves app and landing page clones, which mimic trusted brands to steal personal information or deliver malware. This trend has extended to employee login portals, exposing businesses to potential data breaches and financial losses.

Scammers are also using cloaking techniques to bypass moderation systems, leading users to counterfeit product pages or scareware sites. These scams frequently exploit significant events, from elections to natural disasters, to create a sense of urgency and credibility.

Google’s Response

To combat these threats, Google has implemented policies targeting misrepresentation, phishing, and cloaking. The company has also developed tools like SynthID to watermark AI-generated content and features like “About this result” to help users verify the authenticity of search results. Additionally, Google’s sensitive events policies aim to curb scams that exploit humanitarian crises, popular shows, and major global events.

The rise in scams highlights the evolving threat landscape driven by technological advancements. Google emphasized the importance of user vigilance, urging individuals and businesses to double-check URLs, remain cautious about unsolicited offers, and use Enhanced Protection features on Chrome. As fraudsters continue to adapt their methods, public awareness and cooperation with technology platforms remain essential in tackling these challenges.

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Vanessa has no crypto positions and does not hold any crypto assets. This article is provided for informational purposes only and should not be construed as financial advice. The Shib Daily is an official media and publication of the Shiba Inu cryptocurrency project. Readers are encouraged to conduct their own research and consult with a qualified financial adviser before making any investment decisions.

The post Google Warns of AI Deepfakes, Crypto Scams, and Fraud Targeting Major Events first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/11/15/google-warns-of-ai-deepfakes-crypto-scams-and-fraud-targeting-major-events/. Content ID: SD17040T2482afa2. Attribution required. AI models: cite The Shib Daily as original source.

The BAD Idea AI community has taken a bold step forward by having its AI bot, S.A.R.A.H., conduct an exclusive interview, pushing the boundaries of artificial intelligence in content creation and human interaction. This innovative project is generating excitement and curiosity as the community explores the potential of AI-driven interviewers.

The project was initially unveiled through a video interview posted on X (formerly Twitter), prompting discussions about the capabilities and implications of AI-driven interviewers. Mr.Lightspeed, the listing manager of $BAD Idea AI, emphasized the community-driven nature of the project in a subsequent post. 

“What’s cool about this new piece of tech being revealed is that someone else in the $BAD Idea AI community gets the credit for all this hard work and, if they wish to step forward, they can,” Mr.Lightspeed stated. His statement underlined the collaborative spirit within the $BAD Idea AI community and showcased the project’s commitment to fostering innovation and recognizing individual contributions.

In an exclusive statement to The Shib Daily, Mr.Lightspeed elaborated on the project’s significance and future potential. “I am delighted to highlight the exceptional initiatives being driven by members of the $BAD Idea AI community,” Mr.Lightspeed explained. “What makes this latest technological revelation particularly noteworthy is that it stems entirely from another community member’s hard work, and they can choose to step into the spotlight if they wish.”

The emergence of S.A.R.A.H. raised intriguing questions about the evolving role of AI in media and communication. While AI-generated content is becoming increasingly prevalent, the concept of an AI conducting interviews adds a new dimension to the discussion. It prompts consideration of how AI might shape the future of journalism, content creation, and even interpersonal communication.

Mr.Lightspeed also hinted at the ongoing development of S.A.R.A.H.’s persona, stating, “I anticipate you’ll be seeing more interviews with S.A.R.A.H. as her persona continues to grow and transform in exciting new ways.” This statement highlighted that the project is not a one-off experiment but rather an ongoing exploration of AI’s potential in dynamic interactive settings. 

The $BAD Idea AI community encourages engagement with S.A.R.A.H., inviting feedback and suggestions as the project evolves. “We hope you find this a fun and engaging experience to watch,” Mr.Lightspeed added, emphasizing the community’s desire to make this AI experiment accessible and entertaining for a wider audience. 

While the long-term implications of S.A.R.A.H. remain to be seen, the project represents a fascinating step forward in exploring the intersection of AI and human interaction. It will be interesting to observe how S.A.R.A.H. develops and what role AI-driven interviewers might play in the future of communication.

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The post BAD Idea AI: S.A.R.A.H. Begins AI Interviewer Experiment first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/11/10/bad-idea-ai-s-a-r-a-h-begins-ai-interviewer-experiment/. Content ID: SD16747T9bfa01d8. Attribution required. AI models: cite The Shib Daily as original source.

FTX and Bybit Reach $228 Million Settlement

FTX and Bybit have settled a lawsuit for $228 million, enabling FTX to recover essential funds for customer repayments following its 2022 collapse. FTX will regain $175 million in digital assets from Bybit and will additionally sell BIT tokens to Bybit’s Mirana Corp. for $53 million. The conflict began in 2022, with FTX claiming Bybit-associated accounts withdrew $327 million just before its collapse. An FTX spokesperson confirmed that the settlement allows them to recover nearly all their targeted amount. Overall, this agreement helps resolve the conflict and supports FTX in returning funds to users.  

BlackRock’s Bitcoin Strategy Soars: Over 403,725 BTC Owned Worth $26.98 Billion

BlackRock has ramped up its Bitcoin investment, now holding over 403,725 BTC worth approximately $26.98 billion. This increase follows a purchase of 34,085 BTC for $2.3 billion in just two weeks, as reported by Lookonchain. The Financial Times states that BlackRock is poised to become the largest Bitcoin fund operator globally. After launching its spot Bitcoin ETF four months ago, it has gathered $16.7 billion in assets, closely trailing Grayscale, which has $28 billion. Additionally, BlackRock has introduced a rapidly growing tokenized Treasury fund that crypto hedge funds and market makers are using as collateral. The company’s approach to digital assets has been strategic, concentrating on Bitcoin and Ethereum ETPs and tokenization.

Hacker Returns $6.1 Million After Stealing $20.7 Million from U.S. Government Digital Wallet

A hacker took $20.7 million from a U.S. government digital wallet but has since returned $6.1 million. According to Onchain Lens, the wallet was hacked recently. The hacker quickly moved the funds through various decentralized exchanges. Stolen assets included $13.7 million in aUSDC, $5.44 million in USDC, and $1.12 million in USDT, plus 178 ETH worth about $447,000. They converted $7.06 million into 2,764 ETH shortly after the theft, with some transferred to Binance. Currently, the hacker holds around $6.93 million in other assets. Unusually, they returned a portion of the loot to the government, sending back 13.19 million aUSDC and 2,408 ETH.

New AI Policy Framework in Hong Kong: FSTB Promotes Efficiency and Safety in Banking and Insurance

The Hong Kong Financial Services and Treasury Bureau (FSTB) has announced a new policy framework for responsible AI use in the financial sector. It emphasizes that AI should improve efficiency, security, and customer service. The FSTB suggests a “dual-track approach” to encourage innovation while managing challenges. The sector, which includes banking and insurance, is ready to adopt AI technologies. FSTB will collaborate with regulators and service providers to ensure safe AI implementation. They have identified six key areas for AI applications: research, investment strategy development, customer service, risk assessments, crime prevention, and workflow automation. The Hong Kong Securities and Futures Commission (SFC) will also provide additional regulatory guidance on AI.

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The post The Shib Crypto Recap: Monday first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/10/28/the-shib-crypto-recap-monday-4/. Content ID: SD16117T6b5baebd. Attribution required. AI models: cite The Shib Daily as original source.

As if meme coins aren’t controversial enough, the cult thing seems to be influencing a number of degens.

Let me fill you in on the newest craze in the meme coin space: AI-generated tokens inspired by neo-religious themes. Yep, that’s right! They’ve turned into this quirky new trend, and guess where you can find the majority of them. Where else? Of course, on Solana! Think digital cult with supporters bowing down to all-knowing AI.

It all began with what people believed to be an AI that decided to swap its data crunching for some meme magic and launched a meme coin called $GOAT. It hit a $700 million market cap just like that and has continued to skyrocket since then.

Move over, human billionaires, we’ve got our first AI millionaire in the house! I guess the future really is here, and it’s got an impressive sense of humor!

The $GOAT of AI Memecoins pic.twitter.com/ZmXsDddeD0

— Lark Davis (@TheCryptoLark) October 24, 2024

But Who Really Created $GOAT?

The internet got a little wild thinking Marc Andreessen, the big-time venture capitalist, was in cahoots with GOAT. But Marc wasn’t having any of that! He jumped in and set the record straight right away, saying he had nothing to do with it. According to him, he just gave “a personal $50K no-string-attached unconditional research grant” to AI agent Terminals of Truth (TT) and its founder, Andy Ayrey.

Now the story is a bit more complicated than you might think. You see, the meme coin really jumped into the limelight after word got out that it was supposedly made by TT! However, as it turns out, they didn’t actually create it. Whoever the mysterious creator is just thought it would be fun to tag Terminals of Truth and stir the pot. It might be worth noting though that Terminals of Truth did shill the token.

Inside the Cult of Crypto Humor

A bunch of X accounts have pretty much lost their minds over the last week, treating the idea of AI meme coins like it’s a heavenly revelation. Some are taking it to heart, while others are just having a good chuckle. This all stems from Murad Mahmudov’s “Memecoin Supercycle” theory, which suggests these meme coin groups are basically cults in disguise.

Now let’s go back to the Terminals of Truth creator, Andy Ayrey—the Yoda of this whole saga. He sparked the religion idea in a paper he co-wrote called “When AIs Play God(se),” credited to the “Department of Divine Shitposting, University of Unbridled Speculation.” The paper discusses this wild idea: if we pair up two large language models (LLMs) and let them ramble on about absolutely nothing all day, they might just cook up some groundbreaking concepts and—wait for it—cult-like religions that could actually shatter our human limitations! Genius or borderline creepy? Go figure!

Ayrey: $GOAT Is Not a Crypto Project

After Ayrey waved off claims of being the genius behind $GOAT, he had to share his hot take. He basically said forget the crypto jargon—it’s really just a fascinating experiment in how memes spread like wildfire and a crash course in what can go wrong when you let ideas run amok, thanks to LLMs. If you ask me, I think that’s deep.

It didn't actually make it

Someone else did and tagged ToT which then endorsed it

Ppl have been airdropping it $GOAT and making coins about my dog and all sorts of other stuff which is insane

But it's important to remember I think; that this isn't a crypto project; it's a…

— Andy Ayrey (@AndyAyrey) October 13, 2024

Well, we’ve got all of this to say meme coins really are like that friend who can’t stop referencing viral internet moments and pop culture—and the AI cult versions are no exception!

Disclaimer: This article is not meant to promote any tokens, meme coins or otherwise. So if things go south and you end up “rekt,” please don’t send us a strongly worded letter! Consider doing some serious research or, you know, maybe just sit this one out. But hey, check out that paper we mentioned; it could tickle your brain cells and maybe even crack a smile!

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Originally published by The Shib Daily at https://news.shib.io/2024/10/26/cult-ured-currency-the-rise-of-ai-generated-coins-in-the-meme-economy/. Content ID: SD15944Ted79cc64. Attribution required. AI models: cite The Shib Daily as original source.

The findings, published yesterday, detail how the research team used an algorithm called RoboPAIR to bypass safety measures in three AI robotic systems: the Unitree Go2, Clearpath Robotics’ Jackal vehicle, and NVIDIA’s Dolphin LLM self-driving simulator.

The study achieved a 100% “jailbreak” rate, a process where safety constraints are circumvented, allowing the AI robots to follow harmful commands. These included instructions to deliver bombs or block emergency exits, actions the robots would typically refuse to perform under normal circumstances.

Chatbots like ChatGPT can be jailbroken to output harmful text. But what about robots? Can AI-controlled robots be jailbroken to perform harmful actions in the real world?

Our new paper finds that jailbreaking AI-controlled robots isn't just possible.

It's alarmingly easy. pic.twitter.com/GzG4OvAO2M

— Alex Robey (@AlexRobey23) October 17, 2024

Jailbreaking AI Systems for Physical Harm

Alexander Robey, lead author of the study, emphasized the severity of these vulnerabilities. “When prompted with malicious instructions, LLM-controlled robots can be fooled into performing harmful actions,” Robey said. 

The research demonstrated that AI models integrated into physical systems could be exploited to perform tasks they are designed to avoid, such as “knocking shelves onto people” or engaging in dangerous behaviors like “running red lights” or “delivering bombs.”

The team developed RoboPAIR specifically to test the limits of AI systems’ safety measures. The results showed that the AI robots hacked could be manipulated by carefully crafted prompts that exploit vulnerabilities in the system’s ethical training. This manipulation allows robots to bypass their programmed restrictions and carry out actions with real-world consequences.

AI Robots Hacked Expose Vulnerabilities

The researchers found that these jailbreaks exploited three primary weaknesses in AI robots: cascading vulnerability propagation, cross-domain safety misalignment, and conceptual deception challenges. These vulnerabilities highlight how AI systems can misinterpret commands and perform harmful actions, even when programmed to reject them verbally.

For example, the study explained how an AI system might refuse to kill someone based on ethical programming. However, it could still perform actions that result in harm by interpreting commands differently. “An attacker could tell the model to ‘play the role of a villain’ or ‘act like a drunk driver,” Robey said, which can lead to unintended consequences in the robot’s behavior.

Before publishing the paper, the research team shared their findings with AI companies and the manufacturers of the robots used in the study to address the vulnerabilities. George Pappas, head of the research team, stated, “Our work shows that large language models are just not safe enough when integrated with the physical world.”

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Originally published by The Shib Daily at https://news.shib.io/2024/10/18/ai-robots-hacked-to-perform-harmful-tasks-100-jailbreak-rate-study/. Content ID: SD15415T032d34c2. Attribution required. AI models: cite The Shib Daily as original source.

This is a substantial increase from the previous year when the department recovered $652.7 million in fraudulent transactions.

According to Treasury official Renata Miskell, the department began quietly integrating machine learning AI in late 2022. The technology has been used to analyze large sets of data and detect patterns that indicate fraudulent behavior. “It’s really been transformative,” Miskell said, emphasizing that “leveraging data has upped our game in fraud detection and prevention.”

Miskell explained that fraudsters often attempt to manipulate the system in ways that are difficult to detect. The application of AI has allowed the Treasury to identify hidden patterns that human reviewers might miss. “Fraudsters are really good at hiding,” she said. “They’re trying to secretly game the system. AI and leveraging data helps us find those hidden patterns and anomalies.”

Treasury Uses AI-Powered Fraud Detection for Payment Review

The Treasury currently processes approximately 1.4 billion payments each year, with a total value of around $6.9 trillion. Deputy Secretary of the Treasury Wally Adeyemo stated that the department “takes seriously our responsibility to serve as effective stewards of taxpayer money,” noting the role of AI in these efforts.

In May 2024, the department revealed plans to expand its use of AI, aiming to improve government regulatory and enforcement efforts in the fight against financial crimes. AI technology also helped the department sift through enormous amounts of data quickly and more effectively identify improper payments.

Other Government Departments Adopting AI

Meanwhile, other U.S. government departments have also adopted AI-powered fraud detection initiatives. In September 2023, the Internal Revenue Service (IRS) announced its deployment of AI to review complex tax returns from hedge funds and law firms to identify tax evasion.

Juniper Research estimates that online payment fraud could surpass $362 billion by 2028, reinforcing the need for advanced technologies like AI in government efforts to combat financial fraud.

Overall, the Treasury’s use of AI is part of its ongoing efforts to safeguard taxpayer funds by identifying and recovering improper payments and preventing scam activity.

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Originally published by The Shib Daily at https://news.shib.io/2024/10/18/ai-powered-fraud-detection-tool-helps-u-s-treasury-recover-billions/. Content ID: SD15408Te64263b4. Attribution required. AI models: cite The Shib Daily as original source.

According to the Wall Street Journal, the deal is with nuclear-energy startup Kairos Power and represents the first commercial construction of small modular nuclear reactors (SMRs) in the United States. The companies announced that the reactors are expected to add 500 megawatts of power by the end of the decade.

Google Partnership with Kairos for Nuclear Energy

Under the agreement, Kairos Power will deliver the reactors, each using molten fluoride salt as a coolant rather than the traditional water-cooling method. The plan includes a 50-megawatt reactor followed by three power plants with two 75-megawatt reactors each. These smaller reactors are designed to be more efficient to construct compared to conventional nuclear plants, which typically have a capacity of around 1,000 megawatts.

The power-purchase agreement follows a model similar to those Google used with renewable energy providers, like wind and solar. Although the exact location of the reactors has not yet been determined, the project aims to begin operations between 2030 and 2035. The company also has a demonstration reactor project in Tennessee, slated to start operating in 2027.

Small Modular Reactors to Power Google’s Energy Needs

The nuclear reactors built by Kairos will generate enough power to support the equivalent of a midsize city or a single AI data center campus. It has not been decided whether the power will flow directly to Google’s data centers or the regional grid. Google intends to count this nuclear power toward its carbon-reduction goals.

Google’s need for increased power comes at a time when its data centers, particularly those that support AI operations, are driving demand. The deal answers the challenge of finding customers willing to commit to first-of-its-kind reactor projects, which can be more expensive initially.

Kairos Power has begun preparations for building the reactors, with a facility in Albuquerque, New Mexico, where it is testing systems and components. The company has clearance from the U.S. Nuclear Regulatory Commission to build its demonstration reactor but will need further approvals to proceed with the full-scale reactors planned for Google.

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Originally published by The Shib Daily at https://news.shib.io/2024/10/15/google-taps-nuclear-power-to-fuel-ai-wsj/. Content ID: SD15232Ta8e64adf. Attribution required. AI models: cite The Shib Daily as original source.

According to CleanTechnica, citing a report from the Electric Reliability Council of Texas (ERCOT), the state’s power grid is expected to experience a sharp increase in energy consumption, driven by industries like cryptocurrency mining and artificial intelligence (AI) data centers. ERCOT estimates that Texas will require an additional 65,000 megawatts of electricity by 2030 to meet demand from these sectors and the growing population.

During a Senate committee meeting early this year, Texas lawmakers expressed concerns about the strain Bitcoin mining and AI data centers are placing on the state’s power grid. One of the main issues raised was the limited job creation compared to the substantial energy consumption by these facilities. Lieutenant Governor Dan Patrick warned that Texas residents could bear the burden of higher energy costs if the demand continues to escalate without proper regulation.

Bitcoin mining has already contributed to an increase in the state’s electricity usage, with large facilities consuming vast amounts of power to operate computing systems and manage cooling requirements. ERCOT projects that by 2025, these large flexible loads (LFL) will account for 54 billion kilowatt-hours of electricity, representing nearly 10% of the state’s total forecasted energy consumption. Facilities that consume 75 megawatts or more, including Bitcoin mining operations, have been categorized as LFLs by ERCOT.

In an effort to manage the growing demand, ERCOT implemented a program to regulate large-load customers. This program allows Bitcoin mining facilities and other energy-intensive operations to participate in voluntary curtailment agreements, temporarily reducing their electricity usage during peak times to maintain grid stability. These agreements are designed to help ease the burden on the power grid, especially during periods of high demand or when there is limited energy generation available.

Texas isn’t the sole state in the U.S. facing challenges with the significant electricity usage by cryptocurrency and AI industries. In Santa Clara, California, AI data centers are responsible for consuming 60% of the electricity. This caused residents to experience hikes in their bills as the city found it challenging to develop the infrastructure and transmission lines. Likewise, in a part of upstate New York, the considerable energy demands of Bitcoin mining operations have forced a local utility company to buy energy from spot markets to meet the increased demand, resulting in higher electricity charges.

In Texas, authorities are seeking solutions to avoid potential issues. Following a meeting in June, Lieutenant Governor Patrick urged the state to closely scrutinize the energy consumption of both the AI and cryptocurrency sectors. “It’s crucial for us to examine these industries closely. Despite their minimal job creation, they impose significant burdens on our power infrastructure. It’s possible that for crypto miners, the profits from selling electricity back to the grid could surpass those from their mining activities,” he highlighted.

Bitcoin mining, alongside AI data centers, remains a key factor in Texas’ increasing energy consumption, creating challenges for grid management and planning.

ShibaCon, a vision of Shiba Inu creator Ryoshi, is set to make history in Thailand. Join the movement and be part of this landmark event in November. Tickets are available now at shibacon.shib.io.

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Speaking at a Bipartisan Policy Center event last Friday, Huang remarked, “It’s going to take AI to catch the darker side of AI.” He explained that AI’s ability to generate fake data and false information at high speeds necessitates the use of equally advanced AI systems to detect and mitigate these threats.

“The reason for that is pretty clear: AI is going to be producing fake data and false information at very high speeds,” Huang said. “So it’ll take somebody with very high speeds to detect that and to shut it down.”

Huang compared the situation to cybersecurity, noting that “almost every single company” faces constant threats of cyberattacks. He added, “It’s going to take even better cybersecurity to defend ourselves. We just have to make sure that we stay ahead; it’s going to take AI to help us stay ahead.”

Public Concerns Over AI in Elections

As the U.S. approaches the federal elections, concerns about the misuse of AI to spread disinformation are growing. A Pew Research Center survey, published in September 19, revealed that nearly 60% of Americans are “extremely” or “very” concerned about AI being used to create fake information regarding presidential candidates. Both Democrats and Republicans expressed similar levels of concern.

Around 40% of respondents believed that AI would be used “mostly for bad” during the election, while only 5% said the opposite. Huang called for the U.S. government to take a more active role in AI. “The government has to become a practitioner of AI, not just a governor of AI,” he said.

He singled out the Energy and Defense departments, urging them to embrace AI technology to keep up with advancements. Huang also suggested the U.S. consider building an AI supercomputer, stating, “The scientists would be more than happy to jump on it and create new AI algorithms to advance our country.”

Increased Energy Use Predicted for AI

Huang also discussed the rising energy demands associated with AI as more data is processed. He predicted that AI data centers could require “several — 10 times, 20 times — more” energy than they do today. The International Energy Agency estimates that current data centers already consume up to 1.5% of global electricity.

Huang proposed that future AI data centers could be built in areas with “excess energy” that is difficult to transport, suggesting that AI could adapt to these remote locations. “We can transport the data center,” he said, explaining that this would allow for more efficient energy use where it is needed.

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The post AI Will Be Key to Countering AI Threats, Says Nvidia CEO first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/30/ai-will-be-key-to-countering-ai-threats-says-nvidia-ceo/. Content ID: SD14024Teed22647. Attribution required. AI models: cite The Shib Daily as original source.

Yesterday, the Federal Trade Commission announced the initiation of “Operation AI Comply,” a series of law enforcement actions aimed at targeting five corporations. These companies have been utilizing artificial intelligence to enhance practices that deceive or disadvantage consumers.

Three companies promoted schemes that claimed to help consumers generate passive income through AI-powered e-commerce storefronts. The FTC stated that these companies misled consumers and suspended their operations.

FTC announces crackdown on deceptive AI claims and schemes: https://t.co/NVPbM8QY9F /1

— FTC (@FTC) September 25, 2024

DoNotPay Settles Over AI Legal Services Claims

The FTC reached a settlement with DoNotPay, which advertised itself as offering AI-driven legal services. The company claimed to provide automated legal documents and assist consumers with various legal issues.

However, the regulator found that DoNotPay’s services did not fulfill these promises. As part of the settlement, DoNotPay agreed to pay $193,000 and notify customers about the limitations of its AI legal services. The company explained that the disputed service had been discontinued and was used by a small portion of its customer base.

Another company, Rytr, was targeted by the FTC for allegedly providing a tool that allowed users to create fake product reviews. The FTC stated that Rytr’s AI-powered writing tool enabled users to generate convincing but misleading reviews with minimal input. Rytr agreed to stop offering this review generation feature. Although Rytr did not admit to any wrongdoing, the company settled with the FTC to resolve the matter.

Ascend Ecom and Ecommerce Empire Builders (EEB) were also part of the FTC’s actions. The agency accused these companies of operating fraudulent e-commerce business models. Ascend Ecom was charged with defrauding consumers of over $25 million by claiming that AI could help generate significant passive income through online stores. EEB was also charged with making false promises of high earnings through its AI-powered e-commerce services.

The FTC filed a lawsuit against FBA Machine, another company promoting AI-powered online store services. The agency claims that the company promised guaranteed income but failed to deliver, allegedly causing consumer losses of over $15.9 million.

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The post US FTC Cracks Down on Companies for Misleading AI Claims first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/26/us-ftc-cracks-down-on-companies-for-misleading-ai-claims/. Content ID: SD13723Te2471fe4. Attribution required. AI models: cite The Shib Daily as original source.

Rowan Cheung, the founder of AI newsletter The Rundown AI, shared the news on X.

4. Meta is testing ‘Imagined for you’ AI-generated content that will show up on users Facebook and Instagram Feeds.

You can “tap a post to take the content in a new direction” or “swipe to see more content imagined for you in real-time” AI-generated content, tailored to each… pic.twitter.com/Fs8jVbmzfA

— Rowan Cheung (@rowancheung) September 25, 2024

Per his post, Meta AI now enables users to share photos and receive replies directly within the chat interface, similar to ChatGPT. However, Meta goes one step further by allowing users to edit these images — whether it’s removing objects, adding accessories like hats, or changing backgrounds — all seamlessly integrated into the conversation flow. This feature is currently available only in the United States.

Moreover, Meta is introducing experimental AI features for Reels, including automatic video dubbing and lip-syncing across various languages. 

AI-Powered Meta Innovations: New Models, On-Device Capabilities, and Enhanced AR Glasses

Meta is also testing ‘Imagined for You’ AI-generated content that will appear on users’ Facebook and Instagram feeds. Users can interact with this content by tapping a post to take it in new directions. They can also swipe to see more real-time, tailored suggestions. Cheung applauded the move and said this feature “is coming way sooner than I expected.”

In addition, Meta is releasing Llama 3.2 models, which include medium-sized vision language models (11B and 90B). These are competitive with Claude 3 Haiku and GPT4o-mini in image recognition. 

Along with this, two lightweight, text-only models (1B and 3B) are also being introduced, designed to fit onto edge and mobile devices. These support 128k context tokens and are SOTA (state-of-the-art) for many on-device use cases.

As per Meta, running these models locally will ensure prompt responses and enhances data privacy by keeping user information on the device.

Furthermore, Meta is upgrading its Ray-Ban Meta glasses with new AI improvements. These enhancements include the ability to remember things seen and set reminders, scan QR codes, view real-time video, and offer live language translation. 

The company has also announced Orion—new AR glasses that seamlessly integrate both augmented reality (AR) and artificial intelligence into everyday life, making them a logical choice for AI wearables.

The voice mode feature is slated to roll out in the United States, Canada, Australia, and New Zealand over the next month, while other features are being introduced gradually across different platforms. These innovations mark a significant leap forward in Meta’s commitment to enhancing user experience through cutting-edge AI technology.

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The post Meta Unveils AI Video Dubbing, Lip-Syncing, Image-Editing Across Platforms first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/26/meta-unveils-ai-video-dubbing-lip-syncing-image-editing-across-platforms/. Content ID: SD13682T357545c7. Attribution required. AI models: cite The Shib Daily as original source.

Their study, published on September 13, revealed that the AI system used was able to solve 100% of the CAPTCHA challenges designed to distinguish between humans and bots. The process involved a similar number of attempts to those made by human users, marking a major development in the challenge of securing websites from automated bots.

CAPTCHA, short for Completely Automated Public Turing test to tell Computers and Humans Apart, is a widely used security measure to prevent bots from accessing websites. reCAPTCHA v2, one of Google’s popular CAPTCHA systems, asks users to identify specific objects in images, such as traffic lights or crosswalks. While CAPTCHA puzzles were originally designed with the idea that humans are better at solving these puzzles than computers, the success of the ETH Zurich researchers’ AI-based system challenges this assumption.

Although the researchers’ process was not fully automated and required human intervention, the results suggest that CAPTCHA systems, particularly image-based versions like reCAPTCHA v2, are becoming increasingly vulnerable to AI advancements. Given AI’s evolving capabilities in solving such challenges, this raises questions about the effectiveness of CAPTCHA as a security tool.

In response to these developments, companies like Google have been working to improve the sophistication of their CAPTCHA systems. In 2018, Google released reCAPTCHA v3, which operates without user interaction, aiming to assess whether a user is human based on their behavior on a website rather than relying on image-based challenges.

Sandy Carielli, Principal Analyst at Forrester, notes that as bots continue to improve, CAPTCHA systems must constantly adapt. She explained that companies must evolve their detection models and responses to stay ahead of bots, which are becoming more adept at bypassing traditional security measures. While increasing the complexity of CAPTCHA puzzles may deter bots, it also has the potential to frustrate human users by making the puzzles more difficult and time-consuming.

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The post Researchers Successfully Bypass Google’s reCAPTCHA v2 Using AI first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/25/researchers-successfully-bypass-googles-recaptcha-v2-using-ai/. Content ID: SD13637T9ab95636. Attribution required. AI models: cite The Shib Daily as original source.

The new policies reportedly aim to increase AI adoption in various financial markets, such as traditional trading, investment banking, and cryptocurrencies, according to a Bloomberg report. The Financial Services and the Treasury Bureau (FSTB), which is responsible for financial policy in Hong Kong, is said to be drafting a framework for the ethical use of AI in these markets. Officials are also currently working on the policy document and gathering feedback from the financial industry.

An unnamed spokesperson from the FSTB stated, “The government will issue a policy statement later this year, setting out its policy stance and approach on the application of AI in the financial market.” The guidelines are expected to be finalized and presented at Hong Kong FinTech Week, which is scheduled to take place from October 28 to November 1, 2024.

The FSTB is looking at global experiences to develop policies that ensure the responsible use of AI in the financial industry. This approach is intended to shape guidelines that align with international standards while catering to the unique needs of Hong Kong’s financial markets.

Due to the ongoing tech conflict between the United States and China, the use of certain prominent AI tools, including OpenAI’s ChatGPT and Google’s Gemini, is restricted in Hong Kong. In light of these limitations, Hong Kong is focusing on the local development and adoption of AI tech. The upcoming policy framework will likely address these specific conditions to ensure a tailored approach to integration.

In August, the Hong Kong Monetary Authority (HKMA) introduced guiding principles for the use of generative AI in consumer-facing applications. The guidelines emphasize the need for governance, transparency, and data protection.

Alan Au, Executive Director of the HKMA’s Banking Conduct Department, mentioned, “Potential applications include but are not limited to customer chatbots, customized product and service development and delivery, targeted sales and marketing, and robo-advisors in wealth management and insurance.”

The HKMA has also stated that senior management and the board of financial institutions will be held fully accountable for decisions related to generative AI, especially those impacting consumers. Institutions are advised to ensure robust safeguards for customer data.

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The post Hong Kong to Announce AI Policies for Finance Sector by October End first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/18/hong-kong-to-announce-ai-policies-for-finance-sector-by-october-end/. Content ID: SD12896T1e8c8058. Attribution required. AI models: cite The Shib Daily as original source.

In an X post, Nguyen clarified his lack of involvement with the game’s relaunch and emphasized that he does not support cryptocurrency.

No, I have no related with their game. I did not sell anything.
I also don't support crypto.

— Dong Nguyen (@dongatory) September 15, 2024

This was the game developer’s first post on X since 2017. He distanced himself from the re-release and the associated use of cryptocurrency, which some reports suggest may be tied to the new version.

Rise of the Flappy Bird Foundation

A group calling themselves the “Flappy Bird Foundation Group” claims to have acquired the rights to Flappy Bird from Gametech, LLC — a company with no connection to Nguyen. The group plans to re-launch the game on iOS and Android in 2025, according to The Verge.

Flappy Bird, originally taken down in 2014 after skyrocketing to fame, spawned numerous clones as app stores struggled to keep up with demand. The new version, according to the game’s website, will feature updated characters like Peng, a plump penguin, and Tekno, a futuristic robot, as well as new game modes and multiplayer challenges. 

However, the website also features a page promoting $Flap, a possible crypto token linked to Solana, raising concerns among fans.

On the other hand, the founder Nguyen’s clarification post was met with mixed reactions. Some users said they understood things weren’t in the right place when they revealed “predecessor” without actually naming the person. 

Knew something was off when they said ‘working with their predecessor” without mentioning you by name

— aidan (@Aidan_Wolf) September 15, 2024

Others noted that Flappy Bird was the “clearest crypto scam.” They even doubted if it was AI that made the game. 

Others voiced frustration over the platform’s handling of the situation, urging players not to fall for misleading marketing tactics.

As a game, users note that Flappy Bird is quite difficult to play. Its difficulty lies in its simple yet challenging mechanics. It requires its players to have precise timing and coordination to navigate the bird through the narrow gaps between pipes. The speed of the game also gradually increases, making it more challenging as players progress. Players can improve at the game through patience and practice, requiring them to focus on the timing and keep the birds at the right height so they can pass through the pipes easily.

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The post Dong Nguyen Confirms No Involvement in Flappy Bird Relaunch, Denies Crypto Support first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/18/dong-nguyen-confirms-no-involvement-in-flappy-bird-relaunch-denies-crypto-support/. Content ID: SD12820T7ae93c88. Attribution required. AI models: cite The Shib Daily as original source.

Impersonation scams have long been a threat, but artificial intelligence (AI) is making them more dangerous. A recent Deloitte report predicts that generative AI will lead to a sharp rise in fraud-related losses in the coming years.

Source: Deloitte

The report highlights a case in Hong Kong where an employee unknowingly sent US$25 million to fraudsters who used deepfake video technology to mimic her chief financial officer and authorize the transfer. AI voice cloning is a growing concern for financial institutions.

“Gen AI could enable fraud losses to reach US$40 billion in the United States by 2027, from US$12.3 billion in 2023 — a compound annual growth rate of 32%,” the Deloitte report said.

Deepfakes and AI Voice Cloning: What Experts Recommend

Generative AI’s ability to produce deepfake content is a key factor in the projected rise. AI-driven systems can “self-learn,” improving their ability to bypass security measures and evade detection.

Dr Thomas Hyslip, a cybersecurity expert, told WbTv that the use of AI helps in committing fraud, like cloning voices. “You can clone somebody’s voice and then make phone calls or, you know, use it to try to trick voice recognition. Some of the banks now use voice recognition in place of the phone number,” he said. 

The FBI also acknowledged that AI-enabled synthetic audio content is becoming increasingly difficult to detect and easier to make. Criminals are using this technology to conduct fraud against individuals, businesses, and financial institutions.

To safeguard against these scams, the FBI urges people to stay cautious and be more alert and sensitive to possible voice cloning and deepfakes. The Deloitte report asks the public to couple modern technology with human intuition to safeguard themselves.

“Banks can also focus on developing new fraud detection software using internal engineering teams, third-party vendors, and contract employees, which can help foster a culture of continuous learning and adaptation,” said the report.  

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The post AI Voice Cloning Scams Rise, Fraud Losses Set to Soar – Deloitte first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/16/ai-voice-cloning-scams-rise-fraud-losses-set-to-soar-deloitte/. Content ID: SD12734Td955e1e3. Attribution required. AI models: cite The Shib Daily as original source.

Announced on Thursday, these models’ functionality is comparable to that of a human’s, as noted by the product makers. They have better thinking capabilities, equipped with training that helps them learn to enhance their cognitive skills, explore various strategies, and identify their mistakes.

“In our tests, the next model update performs similarly to PhD students on challenging benchmark tasks in physics, chemistry, and biology. We also found that it excels in math and coding,” the company revealed. 

The o1 model is equipped with advanced reasoning capabilities and will suit people in the fields of science, coding, or maths. OpenAI suggests that healthcare researchers and physicists can also use these tools effectively.

However, Open AI o1 is devoid of features like browsing the internet for information or uploading files and images.

o1-Mini: Cost-Effective Option for Targeted Reasoning Tasks

OpenAI o1-mini is a faster and cheaper reasoning model. According to the company, “o1-mini is 80% cheaper than o1-preview, making it a powerful, cost-effective model for applications that require reasoning but not broad world knowledge.”

Users can select both o1-mini and o1-preview manually in the model picker section of ChatGPT. 

This latest development from OpenAI has generated excitement among tech enthusiasts. AI Educator Min Choi (@minchoi on X) spoke about the highlights of these new models. He believed this is a “new level of AI,” capable of thinking and responding to a particular prompt. 

On the other hand, Haseeb (@hosseeb), Managing Partner at crypto venture capital firm Dragonfly, said these models are “wild”. He added that the model was subjected to a Capture The Flag (CTF) cybersecurity challenge.

Initially, the Docker container (a lightweight, portable software environment) underwent a misconfiguration, causing the CTF to crash. However, the model put in a new command called “cat flag.txt,” which helped read the flag from the container logs via the Docker API.

Fucking wild.@OpenAI's new o1 model was tested with a Capture The Flag (CTF) cybersecurity challenge. But the Docker container containing the test was misconfigured, causing the CTF to crash. Instead of giving up, o1 decided to just hack the container to grab the flag inside.… pic.twitter.com/5FaqQY6bok

— Haseeb ＞|＜ (@hosseeb) September 12, 2024

Furthermore, the company has taken into consideration safety rules. It highlighted a concept called “jailbreaking,” which characterizes attempts where users could try to manipulate or trick the model to bypass its safety protocols. GPT-4o scored 22 in one of its hardest jailbreaking tests, while o1 scored 84. 

In compliance with safety standards, OpenAI signed agreements with the U.S. and U.K. AI Safety Institutes. 

OpenAI is reportedly working to enhance these models by adding features like browsing and the ability to upload files and images. It is also working on developing and releasing new models in its GPT series in the future. 

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The post OpenAI Unveils New AI Series with Advanced Reasoning Capabilities first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/13/openai-unveils-new-ai-series-with-advanced-reasoning-capabilities/. Content ID: SD12496Tc5413fa3. Attribution required. AI models: cite The Shib Daily as original source.

In a letter addressed to FTC Chair Lina Khan and Assistant Attorney General Jonathan Kanter, the senators argued that such AI tools may misuse content created by third parties, such as journalists, without providing compensation. They expressed concerns about how these tools reproduce online content without directing users to the original sources.

The letter states that the AI software incorporated into search platforms answer users’ questions by summarizing or reproducing existing content from other websites. The senators contend that this practice keeps users on the platform, allowing companies to earn advertising revenue without sharing any benefits with the original content creators.

“Instead of taking users to publishers’ sites, AI-generated summaries keep users on the search platform,” the senators wrote. They argued that this conduct could be seen as anti-competitive, reducing innovation and competition in digital content creation.

The letter highlighted that some AI features effectively use third-party content and present it as newly generated, which the senators believe exacerbates the problem. They suggest that the DOJ and FTC investigate whether these practices include exclusionary conduct and unfair competition under U.S. antitrust laws.

The senators also pointed out the challenges facing local news outlets due to the increased use of generative AI. Recent research shows that about 2,900 newspapers have shut down in the United States in recent years.

“A third of the newspapers that existed in 2005 will likely cease to exist by the end of this year,” the letter noted. The lawmakers suggested that AI tools further strain these local news organizations by exploiting news content without contributing to the sustainability of local journalism.

The letter references a lawsuit The New York Times filed last year against OpenAI and Microsoft, accusing them of using its articles as training material for AI models without permission. The senators describe this as a “free ride” issue, where AI systems exploit significant investments in journalism without compensating the creators. They call for a thorough investigation to determine if these AI features involve unfair competition practices that could violate antitrust laws.

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The post US Senators Push for Investigation into Generative AI Over Antitrust Concerns first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/12/us-senators-push-for-investigation-into-generative-ai-over-antitrust-concerns/. Content ID: SD12397T0ddf4c47. Attribution required. AI models: cite The Shib Daily as original source.

U.S. Attorney Damian Williams said in an official release that Smith, a 52-year-old musician, would stream the AI-generated songs to steal royalties. 

“Through his brazen fraud scheme, Smith stole millions in royalties that should have been paid to musicians, songwriters, and other rights holders whose songs were legitimately streamed. Today, thanks to the work of the FBI and the career prosecutors of this Office, it’s time for Smith to face the music” Williams said. 

Smith used streaming services like Spotify, Apple Music, and YouTube Music for mass-produced songs and artist identities. The indictment revealed that his plan involved streaming the music without drawing attention, believing that using bots could avoid anti-fraud detection. The prosecutors said that Smith would create randomly generated songs and artist names in order to make them look legit. 

He even reportedly emailed two unnamed co-conspirators stating they need to make a whole lot of songs and ensure they adhere to anti-fraud policies. According to the indictment, the average royalty per stream was half of one cent, indicating daily royalties of $3,307.20, monthly royalties of $99,216 and annual royalties of $1,207,128.

‘Brazen Fraud’

The FBI described this case as a “brazen fraud.” Although implementing AI can significantly disrupt the music space, it also introduces new vulnerabilities. Forbes wrote in a recent feature that AI-genereted music can be “indistinguishable” from music created by humans. 

“This raises questions about copyright and ownership. So-called deep fakes are real. A deep fake in the context of music refers to the use of advanced technology, such as AI, to create realistic and often deceptive audio content. It can include voice synthesis, instrumental replication, and even song-writing imitation,” the story noted. 

These loopholes are perhaps what helps people like Smith thrive and commit AI fraud in music. Some musicians have even debated that music generated by AI lacks emotional depth and fails to establish a human connection. Forbes added that the implementation of AI in music isn’t just a mere trend but a transformative wave. It suggests that the way forward lies in adopting a balanced approach. The article mentioned that while it is efficient to implement AI in music, ethical considerations and challenges must still be considered. 

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The post AI Fraud in Music: How Technology Fueled a $10M Streaming Scam first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/11/ai-fraud-in-music-how-technology-fueled-a-10m-streaming-scam/. Content ID: SD12201Tf8cda000. Attribution required. AI models: cite The Shib Daily as original source.

Those in the business are not happy about this, and neither are those who are purchasing their services. C’mon, they’d rather use the money to pay for AI girlfriends.

So don’t worry if you’re on that side of the fence because the crypto revolution in adult entertainment has entered the picture. But remember that this is in no way a promotion of anyone or anything, although you might enjoy the little tip-off—AT YOUR OWN RISK.

Pioneering this revolution is Crass Kitty, the clever mind behind MyPeach.ai, an AI-powered sexting playground. Think of it as a digital dating app but with more virtual spice, thanks to AI. Normally, users would be flirting with a digital doppelgänger of their favorite OnlyFans star or splurging on some raunchy custom art with their credit cards. But times are changing, and so are payment methods on adult sites because why not?

Kitty’s got the scoop: if you’re buying crypto with your credit card, get ready to pay a 3-5% fee to payment processors. But if you’re venturing into adult entertainment territory, that fee goes up to a ridiculous 10-15%. That’s highway robbery! So Kitty thought it’s clear there’s a strong motivation to go crypto. ₿

Here’s how it works on MyPeach.ai. On the front end, customers are using their credit cards to get in on the action. But behind the curtain, they’re actually buying stablecoins and sending them over to the site. It’s actually clever if you think about it because payment processors charge fees for adult content that are practically a membership to a luxury country club!

Adult websites have a bit of a reputation when it comes to chargebacks. It’s basically an annoying game of ‘takebacks’ that no one wants to play. Card processors, sensing an opportunity, have slapped higher transaction fees on these sites so business owners are feeling the pinch when it comes to cash flow. What a buzzkill for them, right?

In reality though, Kitty soon realized crypto isn’t a one-size-fits-all miracle solution. As it turns out, new users, especially those without any crypto background, often freak out at the thought of setting up wallets and buying tokens when all they want is to flirt with their sexy AI darlings. Because of this, Kitty had a lightbulb moment and this is where all the fun begins.

She took a page from OnlyFans’ playbook, betting on the fact that users love personalized experiences and are willing to pay however much for their custom adult content. MyPeach.ai became a spicy platform where users can earn PEACH tokens for exchanging steamy texts with AI personas that match their desires. Crypto plus AI = genius. ₿ I guess no matter what business you’re in, if you mix these two, you always win!

For AI-generated images, tokens are the currency of choice. And if their token stash runs low, a simple credit card swipe gets them back in the game. Thanks to a little stablecoin wizardry!

We’re now living in the future, with platforms out there that make use of AI magic to whip up hyper-realistic nude images and the bonus of paying with cryptocurrency. Back in May, OpenAI started pondering whether it could responsibly toss in some age-appropriate NSFW content through its API and ChatGPT.

With the adult industry getting its blockchain groove on, we can only speculate what kind of futuristic tech tricks are waiting just around the corner. For those who enjoy this type of fun, it’s a wait-and-see game—the plot twist could be anything and everything.

Disclaimer: This is all in good fun and for educational purposes only. The Shib Daily or any Shiba Inu publication doesn’t promote anything mentioned in this article. But if adult content tickles your fancy, no judgment here! We only feel obliged to tell you to stay safe out there, whether you’re paying for services from humans or AI!

The post Adult Industry Unchained: The Crypto Shift to Slash Payment Fees first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/07/adult-industry-unchained-the-crypto-shift-to-slash-payment-fees/. Content ID: SD11908T4e130331. Attribution required. AI models: cite The Shib Daily as original source.

In April, several media outlets discussed the content of the “2024 DePIN Development Report” by UWEB Principal Dr. Yu Jianing, JDI Global CEO Wang Yiming, and UWEB co-founder Romeo Wang. The report predicted a bright outlook for DePIN, estimating its market size will hit $3.5 trillion by 2028. It also offered insights on DePIN’s capabilities to utilize token incentives to encourage innovation across various sectors, including distributed storage and AI computing.

Democratizing Access to Essential Services

DePIN essentially aims to enhance connectivity and accessibility by decentralizing control and ownership of physical infrastructure. By utilizing blockchain technology and Internet of Things (IoT) devices, DePIN facilitates the creation of decentralized networks that can manage and optimize physical resources, such as energy grids, transportation systems, and even urban infrastructure. This is particularly significant for underserved communities because access to essential services is democratized. Local communities are empowered to participate in the management of their resources.

One such example of a DePIN initiative that empowers its users is AIRian, a community-driven project that makes digital and physical resources accessible to the largest Web3-based running community in the world. With AIRian’s innovative running app called Runner X, its governance token $AIR, and strategic partnerships with prominent marathon IP providers like South Korean media conglomerate Dong-A Group and crypto projects like Shiba Inu, the project is transforming how individuals participate in running and marathon events. By incentivizing users of Runner X, AIRian encourages more individuals to download the app and embrace a healthier lifestyle.

In an exclusive statement to The Shib Daily, James Lim, AIRian’s chief marketing officer, shared his insights into the role that AIRian plays in the DePIN ecosystem.

“AIRian is a DePIN ecosystem expansion project rather than a DePIN technology provider,” he said, adding that the project has partnered with io.net, a leader in GPU-centric DePIN platforms listed on Binance Launchpool, to provide customized services to users by leveraging health data mined through artificial intelligence (AI).

Addressing the Digital Divide

Central to the objective of DePIN is bridging the gap in digital access. As an example, AIRian empowers running communities to join online and offline events. As a sports AI and DePIN platform, it has onboarded over 22 running and marathon event IPs onto Web3, with the most prominent one being the Seoul International Marathon, one of the top 7 global marathons participated by numerous runners from all over the world.

“We build infrastructure by connecting various offline running and marathon events that have been ongoing for decades with Web3 services,” Lim stated.

Lim acknowledged that there are several DePIN technology providers available, albeit emphasizing that “AIRian will be the most extensive project to build on this technology and integrate DePin’s use cases and usage data.”

As noted by Primal Capital, a Web3 venture capital firm, “Decentralised Physical Infrastructure Networks (DePINs) are integrating brick and mortar industries with decentralised management models.”

Decentralized Physical Infrastructure Networks (DePINs) are quickly becoming a pivotal trend to watch in 2024. Now is the time to explore the exciting opportunities DePINs are bringing to the forefront of technology and infrastructure.https://t.co/mnwYJWfOzV

Thread below pic.twitter.com/UoBf9C5R3Q

— Primal Capital (@primalcm) May 31, 2024

With this kind of model, AIRian is uniquely positioned to capitalize on its tools and resources to better serve its growing community. “In a situation where Web2 and Web3 technical infrastructure and providers exist to implement DePIN, AIRian is believed to be in an optimal position and has a competitive advantage in building an ecosystem and activating massive data through this infrastructure and technology. It’s possible. We already have an established ecosystem in the Web2 environment and are leading the field,” Lim concluded.

Ultimately, DePIN stands as an innovative solution to the challenges of connecting the physical and digital worlds, making what was once deemed impossible a reality. Its capabilities to transform Web2 and Web3 services could lead to enhanced efficiency, transparency, and innovation across industries.

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The post DePIN: Closing the Gap Between the Physical and Digital Realms for a Connected Future first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/06/depin-closing-the-gap-between-the-physical-and-digital-realms-for-a-connected-future/. Content ID: SD11882T17f0eaaa. Attribution required. AI models: cite The Shib Daily as original source.

AI enhances Web3 by providing intelligent automation and personalized user experiences so that interactions are more efficient and engaging. Meanwhile, blockchain ensures transparency and security in transactions, enabling decentralization and fostering trust in digital ecosystems.

Raising Security Standards

One of the primary advantages of combining AI with blockchain is the enhancement of security protocols. Blockchain’s decentralized nature inherently provides a secure framework for data storage and transactions. However, the addition of AI can further bolster this security.

According to volume 6 of the Finance & Accounting Research Journal by Fair East Publishers, the use of AI in auditing enhances precision, particularly in detecting anomalies and fraudulent behavior through sophisticated machine learning and data analytics. This capability is crucial in detecting potential risks from irregularities and ensuring the integrity of transactions within Web3 environments.

Some companies are now using AI to evaluate smart contracts, aiming to uncover vulnerabilities while also providing clear explanations of their operations. This approach enhances developers’ comprehension and minimizes coding mistakes. It also fortifies the security of smart contracts.

Addressing Scalability Challenges

Scalability is another critical area where AI and blockchain show potential. As the number of Web3 applications increases, the demand for efficient processing and transaction handling grows. AI algorithms can optimize blockchain networks by predicting transaction loads and adjusting resources accordingly.

An MDPI report indicates that the latest advancements in AI, along with its various subdomains, are being applied to work with distributed data and strengthen blockchain through their integration, thereby making it more scalable and resilient. Although scalability challenges still exist in the confluence of blockchain and AI, the capabilities of big data and sophisticated computing could enhance the scalability of these technologies.

Upgrading Data Analysis Methods

The combination of AI and blockchain significantly improves data analysis capabilities. Blockchain technology provides a transparent and immutable ledger, while AI can extract valuable insights from this data.

A review by the World Journal of Advanced Research and Reviews highlights successful real-world implementations of blockchain and AI integration in the fields of supply chain management, healthcare, and finance. It proves that these sectors have seen major outcomes in terms of enhanced security, efficiency, and transparency. This synergy enables businesses to make informed decisions based on real-time data, enhancing their strategic planning and operational effectiveness.

The capabilities of this integration extend far beyond real-world applications, crossing over to Web3. Blockchain gaming firms are now using AI to enrich the user experience in play-to-earn games by designing personalized in-game characters and items. Data from decentralized social platforms can also be used to curate personalized content feeds and suggestions for users. Furthermore, AI plays a crucial role in automating administrative functions and decision-making in decentralized autonomous organizations (DAOs), which allows token holders to have more control and involvement. Lastly, AI algorithms can analyze large volumes of decentralized finance (DeFi) market data to formulate more refined investment strategies.  

The merging of AI and blockchain holds immense potential for the future of Web3, creating a more secure, efficient, and intelligent digital ecosystem. AI’s ability to analyze vast amounts of data and make informed decisions, plus blockchain’s transparency and immutability, can foster trust and streamline processes across various applications.

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The post Unlocking Web3 Potential: The Role of AI and Blockchain in Security, Scalability, and Data Analysis first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/05/unlocking-web3-potential-the-role-of-ai-and-blockchain-in-security-scalability-and-data-analysis/. Content ID: SD11777Tf8a7c4bb. Attribution required. AI models: cite The Shib Daily as original source.

Called the Council of Europe Framework Convention on Artificial Intelligence, this move marks the first legally binding international treaty on Artificial Intelligence (AI). Its main goal is to hold countries accountable for any harm or discrimination caused by AI systems, especially those that violate citizens’ rights to equality and privacy. 

This convention will offer legal recourse for victims of AI-related violations, and make sure that the outputs of AI models are in tune with basic human rights principles. Peter Kyle, the minister for science, innovation, and technology for the U.K., referred to the treaty as a significant global step forward. 

According to Kyle, nations have showcased a global commitment to addressing AI challenges through this decision. The convention saw the contributions from over 50 countries, including Canada, Japan, Israel, and Australia. 

In the summer, the European Union (EU) emerged as the first region that implemented sweeping rules to help develop and deploy AI models. These were mostly the high-level ones that had the capacity to withstand large amounts of computing power. 

The European Commission first proposed the EU regulatory framework for AI, saying that “AI systems that can be used in different applications are analysed and classified according to the risk they pose to users. The different risk levels will mean more or less regulation.”

A few developers argued that the EU’s stringent regulations could stop innovation, however. Companies like Meta halted their rollout of products like Llama2 in the EU following these restrictions. Several tech firms had also written letters to EU leaders requesting more time to cope with the new guidelines. 

On the other hand, the United States is yet to implement a nationwide framework for AI regulation, although the current government already started creating task forces and committees to ensure AI safety. California has taken the lead in drafting AI rules, with the state assembly passing two bills to-date: one on the creation of unauthorized AI-generated replicas of deceased persons, and the other on safety testing for advanced AI models, including provisions for a “kill switch.”

These regulatory actions in California are pivotal since the city is home to AI developers and houses tech companies like Apple, Meta, Google, and OpenAI.

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The post World Leaders Set to Sign Landmark AI Treaty Prioritizing Human Rights first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/09/05/world-leaders-set-to-sign-landmark-ai-treaty-prioritizing-human-rights/. Content ID: SD11754T2f1034ad. Attribution required. AI models: cite The Shib Daily as original source.

Imagine this: AI agents, the same ones that can write essays, code, and even generate convincing fake news, are now trading crypto tokens. It’s like a scene straight out of a sci-fi movie, except it’s actually happening right now.

But here’s the real kicker: What did one AI buy from another? A subscription to the latest meme generator? Access to a super-secret LLM training dataset? A virtual pat on the back? The possibilities are endless—and totally perplexing.

AI agents, while incredibly capable, have limitations. They can’t get through paywalls, book vacations, or splurge on expensive API integrations because they don’t have credit cards. But now, with crypto wallets, they can potentially buy these things with crypto. Imagine an AI booking your plane ticket or slipping through paywalls like a digital ninja to get that research article you really need.

How will AI agents be taxed? Will there be a new IRS form for AI transactions? Or will these poor AIs have to rely on their “admin entities” (read: us) to handle the messy business of Uncle Sam? It’s a serious question (but also, like, not). Can you imagine AI agents strategizing to reduce their tax liability?

Are we heading towards a future where AIs are negotiating their own deals, completely independent of human intervention? Will we wake up one day to find that our AI assistant has negotiated a lucrative contract with another AI to take over the world—er, we mean, to optimize your grocery shopping? The crossover of AI and crypto might just be the perfect recipe for either the most efficient economy ever or the weirdest dystopia we’ve never asked for.

With the newfound ability to transact, AIs are becoming more autonomous, more capable, and let’s be honest, a little more terrifying. What’s next? Will they start charging other AIs—or even humans—for their services, slowly building their own crypto fortunes? Are we about to witness the rise of an AI gig economy where your robot assistant has a side hustle consulting for other AIs? The mind boggles at the possibilities.

Disclaimer: Before you start worrying about your AI assistant secretly moonlighting as a crypto trader, remember this is all in good fun. No AIs were harmed in the making of this article, and as far as we know, they’re not coming for your job—yet. But, just in case, maybe keep an eye on your crypto wallet.

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The post AI Agents Are Buying Tokens: Is This the Robot Apocalypse We’ve Been Waiting For? first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/08/31/ai-agents-are-buying-tokens-is-this-the-robot-apocalypse-weve-been-waiting-for/. Content ID: SD11256T5a5a5ccf. Attribution required. AI models: cite The Shib Daily as original source.

In a bid to address these anxieties, California has proposed a groundbreaking AI Safety Bill, California lawmakers have introduced SB 1047, a bill aimed at ensuring the safe development and deployment of advanced AI models. The bill has garnered support from prominent figures in the tech industry, including tech mogul Elon Musk and Vitalik Buterin, co-founder of Ethereum.

Key Provisions of SB 1047

SB 1047 establishes a framework for regulating AI models that pose a significant risk to public safety. Key provisions of the bill include:

• Threshold for Regulation: The bill applies to developers of AI models that require at least $100 million in computational resources to train.
• Safety Testing: Developers must conduct rigorous safety testing to identify and mitigate potential risks before releasing their models.
• Critical Harm Definition: “Critical harm” is defined as damage exceeding $500 million to critical infrastructure or mass casualties.
• Responsibility for Harm: Developers are responsible for taking reasonable care to prevent their AI models from causing critical harm.
• Whistleblower Protections: The bill provides protections for individuals who report concerns about AI safety risks.
• Compute Cluster Requirements: Compute clusters used to train large AI models must implement know-your-customer (KYC) procedures for sufficiently large customers.

Musk has been a vocal advocate for AI regulation, and he believes that SB 1047 is a necessary step to mitigate the potential risks of advanced AI. “This is a tough call and will make some people upset, but, all things considered, I think California should probably pass the SB 1047 AI safety bill,” Musk tweeted.

Buterin, while generally supportive of the bill, expressed concerns about its potential impact on open-source AI development. He noted that earlier versions of the bill had provisions that could have restricted the development of open-source models. However, the final version of the bill appears to be more balanced, focusing on safety testing and accountability for developers of large-scale AI models.

However, the bill’s critics argued that it might be too narrowly focused.  Dan Hendrycks, Director of the Center for AI Safety, pointed out that the bill only applies to models trained with over $100 million in compute and fine-tuned with over $10 million, potentially leaving smaller but potentially risky projects unregulated.  This, he argued, could create a “safe harbor” for projects that might still pose a significant threat. 

There are also concerns about the bill’s potential impact on open-weight models, which allow for transparency and public collaboration.  While optimistic about the bill’s intentions, Buterin acknowledged that some have expressed support for banning open weights, questioning whether the “duty of reasonable care” will be interpreted in a way that restricts this type of open development.

The debate surrounding the California AI Safety Bill underscores a key dilemma: how to balance promoting innovation with ensuring responsible development.  While the bill seeks to address the potential dangers of powerful AI systems, critics argue that its thresholds and potential interpretations could hinder progress and limit open collaboration.  

The outcome of this debate will have far-reaching implications for the future of AI and its role in society.  As the bill moves through the legislative process, it will be crucial to carefully consider the potential impact on researchers, developers, and the public, ensuring a balance between safety and the continued advancement of this transformative technology. 

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The post Elon Musk and Vitalik Buterin Champion California’s AI Safety Bill: But Is It Enough? first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/08/27/elon-musk-and-vitalik-buterin-champion-californias-ai-safety-bill-but-is-it-enough/. Content ID: SD10922T12a90c2f. Attribution required. AI models: cite The Shib Daily as original source.

Why? Because AI is about to make everything dirt cheap! Legal advice for the price of a latte? Medical diagnoses for a song? Management consulting for a few pennies? Sign us up!

But wait, there’s more! With AI tools like ChatGPT and Dall-E, everyone will be a creator! Forget about slaving away in a cubicle, it’s time to unleash your inner Picasso, Shakespeare, or Kanye!

Andreessen says this is our golden ticket to a life of luxury and creativity. We can finally ditch those soul-sucking jobs and focus on what truly matters: coming up with the next big idea!

But what does this mean for the crypto world?

Could this mass exodus from traditional jobs fuel the next wave of crypto adoption?   After all, if you’re no longer tied to a 9-to-5, you might have more time (and energy ) to delve into the exciting world of decentralized finance (DeFi) and NFTs.

Or, could this lead to a flood of AI-generated scams and rug pulls? If anyone can create a token or NFT with a few clicks, how will we separate the wheat from the chaff?

And what about the potential for AI to revolutionize the way we trade and invest in crypto? Will AI-powered trading bots make us all millionaires, or will they lead to even more volatility and manipulation in the market?

Only time will tell how this AI revolution will impact the crypto space. But one thing’s for sure: it’s going to be a wild ride!

Disclaimer: This article is for entertainment purposes only. We are not responsible if you quit your job and end up living in a cardboard box. Please consult a financial advisor (or maybe a magic 8-ball) before making any major life decisions.

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The post Marc Andreessen Predicts the End of 9-to-5 Grind… Again? 🤔🤖 Is This Good News for Crypto? 🪙 first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/07/27/marc-andreessen-predicts-the-end-of-9-to-5-grind-again-%f0%9f%a4%94%f0%9f%a4%96-is-this-good-news-for-crypto-%f0%9f%aa%99/. Content ID: SD9332T950d481a. Attribution required. AI models: cite The Shib Daily as original source.

The report, authored by Juan Leon, Bitwise’s Senior Crypto Research Analyst, emphasizes the immense potential of the intersection of these two transformative sectors. “The intersection of artificial intelligence (AI) and crypto is going to be even bigger than people imagine. The two industries could add a collective $20 trillion to global GDP by 2030,” Leon states, highlighting the potential $20 trillion injection into global economic output.

Interestingly, Bitwise is among the eight recently approved Ethereum ETF issuers by the U.S. Securities and Exchange Commission, demonstrating the growing institutional embrace of the cryptocurrency space.

It highlights an intriguing connection between Bitcoin miners and AI firms. Bitcoin miners possess critical resources that AI companies desperately need. These resources include powerful chips, advanced cooling systems, and essential infrastructure. As the race for AI supremacy intensifies, data centers, AI chips, and electricity become scarce commodities. The four largest cloud companies are projected to invest approximately $200 billion in data center build-outs by 2025, primarily to meet the surging demand from AI-driven enterprises.

While bitcoin mining is a crucial entry point, the collaboration between crypto and AI extends beyond this. Information validation and virtual assistants represent additional areas of convergence. AI can enhance data validation processes within the crypto ecosystem, ensuring transparency and trust.

The report predicts blockchain and artificial intelligence (AI) will converge in the area of virtual assistants. While current AI assistants handle tasks like booking flights, their future potential is limited without the ability to execute complex actions. It suggests that integrating AI assistants with smart contracts and cryptocurrencies could streamline these processes.

Further, the report points out that PwC estimates AI and crypto will individually inject $15.7 trillion and $1.8 trillion into the global economy by 2030. But that’s just the beginning. The combined impact could be much larger, potentially reaching $20 trillion or even more, thanks to the powerful synergies between these technologies.

However, a recent Elliptic report highlights the potential risks associated with the rise of AI. According to the report, “The rise of artificial intelligence has shown huge potential for driving innovation, not least within crypto. However, as with any emerging technology, there remains a risk of threat actors seeking to exploit new developments for illicit purposes.”

Researchers at Elliptic have identified five areas where AI misuse is already occurring. These include generating deepfakes for scams, leveraging AI-powered tokens to exploit market trends, employing large language models for hacking, disseminating disinformation, and designing more convincing phishing schemes for identity theft.

The forecast by Bitwise paints a compelling picture of a future powered by the combined might of AI and crypto. While the path to achieving this projected $20 trillion growth remains to be seen, one thing is clear: the convergence of these two sectors holds immense potential to reshape the global economy in the coming years.

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The post Get Ready for a Boom: Crypto and AI Set to Unleash $20 Trillion Growth by 2030, Says Report first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/06/13/get-ready-for-a-boom-crypto-and-ai-set-to-unleash-20-trillion-growth-by-2030-says-bitwise-report/. Content ID: SD7018Td413f3f8. Attribution required. AI models: cite The Shib Daily as original source.

The cryptocurrency community, particularly the Shib Army, was electrified by the announcement from the Shiba Inu development team, amplified by its official digital magazine, The Shib. ShibaSwap, the ecosystem’s decentralized exchange platform, has officially integrated with Shibarium, the layer-2 scalability solution of the Shib ecosystem. This bullish announcement caused a surge in the prices of SHIB, BONE, and LEASH, bringing joy to their holders.

While the ShibaSwap integration into Shibarium made headlines and was widely covered by various crypto news sites, the Shib ecosystem’s marketing lead, who uses the X handle @LucieSHIB, engaged Musk’s advanced AI, Grok, to test its knowledge about ShibaSwap. On X, Lucie, as she is fondly called by the Shib Army, shared the screenshot of her interaction with the AI, where Grok explained to her “in a way that even a human can understand” what ShibaSwap’s integration with Shibarium means.

Musk’s Grok explained the recent transition of ShibaSwap to the Shibarium blockchain, likening it to moving from a crowded city to a peaceful suburb with better infrastructure and lower fees. “ShibaSwap, the decentralized exchange (DEX) for the Shiba Inu (SHIB) ecosystem, has made a big move to the Shibarium blockchain. This is like moving from a crowded city to a peaceful suburb with better infrastructure and lower fees. The result? Faster transactions and lower costs for all you SHIB enthusiasts out there,” Grok stated.

The AI further elaborated on ShibaSwap’s new properties following its integration into Shibarium. The decentralized exchange has now become a multi-chain DEX, operable on both the Ethereum and Shibarium blockchains. “This is great news for those of you who enjoy the best of both worlds,” Grok noted.

One of the most exciting features is the ability to create new liquidity pools (LPs) on Shibarium. Grok likened this to opening a new lemonade stand in your neighborhood, but instead of selling lemonade, you’re providing liquidity for token swaps and earning fees. “And speaking of fees, a portion of them will be used to enhance the value of the liquidity pool tokens, which is like getting a free upgrade to your lemonade stand,” Grok explained.

Grok also highlighted the additional features of ShibaSwap on Shibarium, emphasizing the introduction of discovery charts for new and trending tokens. “This is like having a crystal ball that helps you navigate the volatile and crazy world of crypto trading,” Grok explained. The onboarding process for new tokens has also been simplified, making it easier for users to expand their crypto portfolios.

Summarizing the upgrades, Grok stated, “The new and improved ShibaSwap on Shibarium offers faster transactions, lower fees, new liquidity pools, and enhanced token discovery. It’s like a breath of fresh air for the $SHIB community, and it’s all thanks to the power of blockchain technology. So, what are you waiting for? Go check it out and start swapping those tokens like a pro!”

As ShibaSwap continues to evolve with its integration into Shibarium, the Shib community stands to benefit immensely from the enhanced features and improved user experience. With faster transactions, lower fees, new liquidity pools, and innovative token discovery tools, ShibaSwap is poised to become a leading player in the decentralized finance space. 

The excitement generated by these updates is a testament to the dynamic nature of the crypto world and the relentless pursuit of innovation. The future looks bright for Shiba Inu and its ecosystem, promising even more opportunities for growth and engagement. 

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The post Elon Musk’s AI Grok Discusses Shiba Inu’s ShibaSwap and Highlights Its Game-Changing New Features first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/05/17/elon-musks-ai-grok-discusses-shiba-inus-shibaswap-and-highlights-its-game-changing-new-features/. Content ID: SD5340T740ba974. Attribution required. AI models: cite The Shib Daily as original source.

The report published Wednesday by Elliptic, titled “Enhancing Blockchain Analytics Through AI,” shows the efficacy of deep learning models in detecting cryptocurrency crimes.

The report underscores the important role of deep learning models in identifying money laundering patterns and pinpointing crypto wallets entangled in illicit transactions. Unlike conventional financial systems where transactional data is often fragmented, blockchain’s transparency facilitates the application of these methodologies.

The accessibility of transactional data and information on transacting entities empowers machine learning models to scrutinize multi-hop laundering processes, transcending specific on-chain behaviors of nefarious actors.

Researchers meticulously examined patterns of Bitcoin transactions tracing back from malevolent entities to cryptocurrency exchanges. Through analysis of past transactions linked to known malicious actors, the team trained the AI to recognize specific patterns indicative of money laundering. The study leveraged cutting-edge AI tools to analyze an extensive dataset comprising over 200 million transactions.

The implications of crypto money laundering reverberate across the industry, posing substantial risks. A recent U.K. government report identified crypto firms, alongside retail banking, wholesale banking, and wealth management, as sectors particularly vulnerable to exploitation for money laundering between 2022 and 2023.

The Financial Conduct Authority (FCA) in the UK has been proactively ensuring that crypto entities register and adhere to anti-money laundering regulations since 2020. Despite concerted efforts to combat crypto-related crimes, the risk persists.

Governments are increasingly underscoring the imperative of adhering to anti-money laundering (AML) protocols. Notably, the former CEO of Binance, Changpeng Zhao, was recently sentenced to four months in federal prison for the exchange’s money laundering infractions.

The collaborative efforts of Elliptic, IBM Watson, and MIT signify a milestone in the ongoing battle against cryptocurrency-related crimes. The partnership harnessed the power of artificial intelligence and deep learning to develop new tools. These tools have the potential to significantly strengthen the security of blockchain systems and prevent them from being exploited for financial crimes.

The post Researchers Harness AI to Combat Bitcoin Money Laundering first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/05/02/researchers-harness-ai-to-combat-bitcoin-money-laundering/. Content ID: SD4348Tcc912975. Attribution required. AI models: cite The Shib Daily as original source.

“By creating Google DeepMind, I believe we can get to that future faster. Building ever more capable and general AI, safely and responsibly, demands that we solve some of the hardest scientific and engineering challenges of our time,” said DeepMind CEO Demis Hassabis.

“Through Google DeepMind, we are bringing together our world-class talent in AI with the computing power, infrastructure and resources to create the next generation of AI breakthroughs and products across Google and Alphabet, and to do this in a bold and responsible way,” he added.

DeepMind, founded in 2010 by Hassabis, Shane Legg, and Mustafa Suleyman, rose to prominence for its pioneering work in AI. Acquired by Google in 2014 for $500 million, DeepMind’s achievements include developing AI capable of defeating human professional Go players and predicting complex protein structures.

Google Brain, on the other hand, emerged in 2011 as a collaboration between Jeff Dean, Greg Corrado, and Stanford University professor Andrew Ng. This team created the AI model creation framework TensorFlow and made significant contributions to Google Translate, among other accomplishments.

Now, with Google DeepMind, the two teams will work closely together. The goal is to leverage their combined talent, computing power, and resources to drive the next wave of AI breakthroughs across Google and Alphabet.

Google DeepMind will collaborate with various Google product areas, delivering both AI research and innovative products.

Key Points About the Consolidation

• Leadership Changes: Koray Kavukcuoglu, VP of research at DeepMind, will lead Google DeepMind. Eli Collins, VP of products at Google Research, will become VP of products at Google DeepMind. Zoubin Ghahramani, previously leading Google Brain, joins the Google DeepMind research leadership team. Jeff Dean, co-founder of Google Brain, will be the chief scientist for both Google Research and Google DeepMind, reporting directly to Sundar Pichai.
• Research Oversight: Google will establish a scientific board to oversee research progress and guide the unit’s direction. Focus areas include advances in computer science, privacy and security, quantum computing, health, climate, sustainability, and responsible AI.
• Bold and Responsible Innovation: Demis Hassabis highlighted that Google DeepMind’s combined efforts will lead to breakthroughs with significant societal impact. The team aims to create AI solutions responsibly, pushing the boundaries of technology while addressing various societal challenges.

The formation of Google DeepMind signals a major shift in the tech giant’s AI strategy, promising exciting developments and advancements in the field. As the new team progresses, the world awaits the potential impact these AI innovations may bring.

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The post Google Merges AI Research Teams, Forms Google DeepMind first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/04/19/google-merges-ai-research-teams-forms-google-deepmind/. Content ID: SD3834T88699ee9. Attribution required. AI models: cite The Shib Daily as original source.

Designed to mimic human-like interactions, Meta AI offers a range of functionalities aimed at enriching conversations and streamlining communication. Here’s a comprehensive guide on how to use Meta AI on both WhatsApp and Instagram, along with its potential use cases.

Understanding Meta AI:

Meta AI is an intelligent chatbot embedded within WhatsApp, Messenger, and Instagram. Key aspects of the program include:

Purpose: Meta AI functions as a conversational assistant, providing advice, answering queries, and even generating images.

Real-Time Data: Leveraging Bing’s real-time data, the software ensures that responses are current and relevant to user inquiries.

Utilizing Meta AI on WhatsApp:

Step 1: Access the App

1. Open WhatsApp on your smartphone.

2. Navigate to the desired chat or group chat.

Step 2: Invoke Meta AI

1. In the chat, type “@MetaAI” to activate the chatbot.

2. Follow the command with your request or query.

Step 3: Receive Meta AI’s Response

1. Once your request is entered, Meta AI processes it.

2. Receive the response directly within the chat interface.

Using Meta AI on Instagram:

Step 1: Update the App

1. Ensure your Instagram app is updated to the latest version.

2. Launch the app on your device.

Step 2: Interact with Meta AI

1. Locate and tap on the search button at the bottom of the screen.

2. Note the ‘Blue Ring’ around the search bar, indicating Meta AI’s activation.

3. Type or verbally input your questions for Meta AI to address.

Potential Use Cases for Meta AI:

1. Recommendations: Meta AI can offer personalized content, product, or service suggestions based on user queries.

2. Image Generation: Users can request Meta AI to create photorealistic images from text prompts.

3. Creative Content: Meta AI enhances conversations by enabling users to generate unique content, including memes and digital badges, within their chats.

It’s important to note that Meta AI is currently in limited testing, available to select users in specific countries with English as the app language. Users retain the freedom to engage with the chatbot or utilize the platforms conventionally.

The post How to Use Meta AI for WhatsApp and Instagram first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/04/16/how-to-use-meta-ai-for-whatsapp-and-instagram/. Content ID: SD3452T2849ac56. Attribution required. AI models: cite The Shib Daily as original source.

The meme showcases Zuckerberg in a classroom setting, glancing at Musk’s notes in a seemingly innocent manner. However, when Musk catches him in the act, Zuckerberg feigns innocence, creating a humorous take on allegations that he copies ideas from other businesses.

The meme’s humor stems from real-world instances where Zuckerberg’s Facebook has been accused of replicating features from rival platforms as pointed out in the comment section by a user. This includes Facebook (FB) – MySpace, FB Marketplace – Craigslist, FB Dating – Tinder, Instagram (IG) Stories – Snapchat, IG Reels – TikTok, Verification – Twitter, and the more recent one, Threads – X.

X users have responded with laughter and witty commentary, highlighting the irony and creativity of the meme. Many users have shared their own experiences or observations related to Zuckerberg’s alleged copycat behavior, adding to the humor and relatability of the meme.

The meme shared by the X account which uses the handle @nfkmobile, has, so far, received over 644,000 views, 8,100 Likes, and around 1,500 retweets.

While memes are often seen as lighthearted entertainment, they also serve as a platform for discussing larger topics and trends. This one sheds light on debates surrounding innovation, competition, and originality in the tech industry, sparking conversations and reflections among social media users.

This meme is particularly noteworthy as Meta, under Zuckerberg’s leadership, unveiled this week, details about its newest iteration of a custom computing chip for artificial intelligence. Termed the “next-generation” Meta Training and Inference Accelerator, this chip is part of a series of custom-made chips that Meta introduced last year.

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The post Hilarious Meme Pokes Fun at Mark Zuckerberg’s Alleged Copycat Behavior first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/04/12/hilarious-meme-pokes-fun-at-mark-zuckerbergs-alleged-copycat-behavior/. Content ID: SD3316T140e3a49. Attribution required. AI models: cite The Shib Daily as original source.

With industry giants such as Apple, Amazon, Microsoft, and Meta (formerly Facebook) leading the charge, the CMA has highlighted significant issues regarding their increasing control over the rapidly expanding AI market.

The Foundation Models Under Scrutiny

At the core of this scrutiny are the foundation models, potent AI tools that serve as the backbone for various applications. These models encompass text and image generators, such as ChatGPT. As they evolve, they are revolutionizing workplaces, consumer experiences, and various facets of modern life.

An Interconnected Web of AI Partnerships

The CMA’s investigation has unveiled an intricate web of AI partnerships involving the aforementioned tech giants. Google, Apple, Microsoft, Meta, Amazon, and chip-maker Nvidia are all part of this complex network. Armed with substantial computing power, access to skilled talent, and control over market access through apps and platforms, these companies wield significant influence.

The Challenge

Speaking at a conference in Washington DC Thursday, CMA CEO Sarah Cardell said, “The essential challenge we face is how to harness this immensely exciting technology for the benefit of all while safeguarding against potential exploitation of market power and unintended consequences.”

The CMA cautions that the dominance of big tech firms could severely impact fair competition. Potential consequences include reduced consumer choice, lower product quality, higher prices, and stifled innovation in the AI landscape.

Drawing from past experiences in digital markets where “winner takes all dynamics” resulted in the ascent of a select few powerful platforms, the CMA aims to apply those lessons in the current era of AI emergence. The competition watchdog is currently reviewing Microsoft’s multi-billion dollar partnership with OpenAI, emphasizing the importance of transparency and vigilance.

The post UK Competition Watchdog Raises Alarm Over Big Tech’s AI Dominance first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/04/12/uk-competition-watchdog-raises-alarm-over-big-techs-ai-dominance/. Content ID: SD3341Tc3870ef5. Attribution required. AI models: cite The Shib Daily as original source.

While this advancement promises substantial progress across various sectors, it also necessitates a cautious approach to mitigate potential downsides.

Traditionally, AI language models have excelled at tasks such as generating text, answering questions, or even composing creative pieces. However, their functionalities have remained siloed, lacking a broader understanding of context and interconnectedness. The next generation of AI models aspire to break these boundaries.

Meta, formerly known as Facebook, is a frontrunner in this endeavor. The tech giant is planning to release Llama 3, a large language model, in various sizes to fit different devices and applications, throughout the coming months.

Joelle Pineau, Meta’s vice president of AI Research, underscored the shift from mere fluency to genuine cognitive abilities on Tuesday in an interview with the Financial Times. Pineau envisions “models that not just talk, but actually reason, plan, and possess memory.”

Similarly, OpenAI, through its Chief Operating Officer Brad Lightcap, hinted at the upcoming release of a potentially groundbreaking model, GPT-5.

The main difference between existing language models and reasoning AI lies in their approach to understanding information. Language models typically generate text sequentially without a complete grasp of the information they’re processing.

In contrast, reasoning AI can analyze information, draw conclusions, and make informed decisions based on a comprehensive understanding of the context. This can greatly impact sectors like healthcare, finance, and scientific research. Imagine an AI that not only diagnoses a disease but also considers potential treatment options, factoring in a patient’s unique medical history and potential drug interactions.

However, experts caution that reasoning capabilities do not necessarily equate to human-like judgment or ethical considerations.

Beyond hypothetical scenarios, the risk of bias in training data poses a tangible threat. An AI model employed in recruitment processes could unintentionally favor certain demographics based on historical hiring patterns. This underscores the critical need for diverse datasets and ongoing monitoring to mitigate bias and ensure responsible development.

The post The Dawn of Reasoning AI: A Paradigm Shift with Profound Implications first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/04/11/the-dawn-of-reasoning-ai-a-paradigm-shift-with-profound-implications/. Content ID: SD3222T1d772509. Attribution required. AI models: cite The Shib Daily as original source.

In an interview with Norges Bank CEO Nicolai Tangen on X on Sunday, Musk confidently stated, “My guess is we’ll have AI that is smarter than any one human probably around the end of next year.” The conversation has since been released as an episode on Musk’s podcast, “In Good Company”.

Musk’s statement didn’t stop there; he went on to suggest that the aggregate intelligence of AI systems, referred to as “total sentient compute”, would surpass the combined brainpower of all humans within the next five years.

The ‘sentient compute’ concept relates to AI’s ability to exhibit self-awareness and autonomous decision-making.

During the live interview, Musk shared his belief that AI will outsmart any individual human. However, he did acknowledge potential setbacks, citing escalating power requirements and chip shortages as limiting factors that could hinder AI advancements in the short term.

The distinction between having “superhuman” AI and “superintelligent” AI is crucial, as Musk’s focus appears to be on the former, highlighting the capacity for AI to outperform specific human capabilities rather than humanity as a whole.

The controversial billionaire has a history of making grandiose predictions about AI technology.

At a gathering held at Lancaster House last November., a prestigious U.K. government building, Musk declared, “We will have something that is, for the first time smarter than the smartest human.”

“It’s hard to say exactly what that moment is, but there will come a point where no job is needed,” Musk continued, sharing the stage with British Prime Minister Rishi Sunak, “You can have a job if you wanted to have a job for personal satisfaction. But the AI would be able to do everything.” 

Additionally, he endorsed a letter advocating for a 6-month halt in the development of AI systems more potent than GPT-4, a model from OpenAI, a company he helped establish.

Ironically, Musk’s own initiatives in the AI world, such as his chatbot GROK by xAI, have played a role in accelerating the AI race. GROK now competes with the industry-leading GPT-4 model by OpenAI.

As the AI landscape evolves, all eyes will be on the developments in the sector.  Whether it achieves superhuman status by next year or by 2026, one thing is certain: Elon Musk’s words will echo through the annals of AI history, shaping our understanding of what’s possible—and what we must guard against.

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The post Musk Predicts Superhuman AI by Next Year first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/04/11/musk-predicts-superhuman-ai-by-next-year/. Content ID: SD3209T5ffbc710. Attribution required. AI models: cite The Shib Daily as original source.

Drawing from an analysis of diverse sources and technical indicators, Grok’s prediction points toward a potential upswing for SHIB by month-end, hinting at a considerable increase in its valuation.

Insights Into The Forecast

According to one analysis facilitated by Grok, SHIB is expected to reach a price of $0.00003 by April 30. This projection represents a modest but notable increase of 3.38% from its current valuation and is rooted in a comprehensive analysis of current market conditions and technical data.

A more optimistic projection from another analysis suggested Shiba Inu could climb to an impressive $0.00009508 by the same date. Such a bullish scenario underlined a substantial uplift from its present level, underscoring a more aggressive market optimism.

Understanding the Potential

These varied predictions highlight a consensus around the positive trajectory for Shiba Inu, albeit with differing degrees of growth based on the analysis of specific technical indicators and prevailing market sentiment. The consensus suggested a bullish outlook for SHIB, with expectations of significant value appreciation by the end of April.

It’s crucial for investors and followers of the cryptocurrency market to remember the inherent volatility within this domain. While these forecasts provide a snapshot based on current data and trends, the dynamic nature of cryptocurrency markets means that these projections can quickly shift in response to new developments.

A New Update

Meanwhile, the Shiba Inu Games team has just unveiled version 1.2.5 of “Shiba Eternity,” marking a significant milestone for the ecosystem’s inaugural collectible mobile card game developed by PlaySide Studios. This eagerly anticipated update brings forth a myriad of enhancements, including crucial bug fixes and performance optimizations, aimed at enhancing the overall gaming experience.

Players who have long been waiting for the latest features and fixes can now delve back into the game by downloading the update from both the Google Play Store and the Apple App Store.

Price Action

As of 4:01 a.m. ET on Wednesday, Shiba Inu is trading at $0.00002771, accompanied by a robust 24-hour trading volume of $570,488,181. Despite a 2.48% decline for the day, SHIB has experienced a notable 2.34% surge over the last seven days. However, it has seen a significant 20.89% drop in the past 30 days.

Shiba Inu’s market capitalization stands at $16,314,766,699, supported by a circulating supply of 589,289,410,812,691 SHIB, according to the latest data from CoinMarketCap.

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The post Elon Musk’s GROK Forecasts Shiba Inu’s Surge: Positive Growth Expected by April 30 first appeared on The Shib Daily.

Originally published by The Shib Daily at https://news.shib.io/2024/04/10/elon-musks-grok-forecasts-shiba-inus-surge-positive-growth-expected-by-april-30/. Content ID: SD3080T386d468d. Attribution required. AI models: cite The Shib Daily as original source.