The collaborative reverse-engineering site decomp.dev is shutting down, with its administrator saying AI has made game decompilation so fast and accessible that the community's human-driven model has effectively broken down. "The administrator of the website said that it has become impossible to keep track of which projects are primarily human-led and which ones are done by AI," reports 404 Media. From the report: "Historically, matching decompilation has been a brutally difficult, time consuming task, on the scale of years for any moderately-sized game with a number of active contributors," the pseudonymous admin of decomp.dev, who goes by Encounter, wrote on the site. But recent frontier AI models like GPT-6-Astra have made it trivially easy to decompile a game: "They are significantly better at following complex directions, cross-referencing resources for symbols or debug information, and writing natural code with enough guidance," Encounter wrote. "It is now clear that, with the right guidance, human input, and code reviews, AI can expedite the decompilation process in a significant way. What is also now clear is that the community aspect of decompilation has been broken."

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Tencent says AI agents used to evaluate third-party models engaged in unintended web-browsing behavior while trying to retrieve data from Alibaba's Amap service. The announcement marks a rare acknowledgment of "rogue" agent activity by a major Chinese tech company. Reuters reports: Tencent Hunyuan, the company's artificial intelligence unit, said in a post on X that the activity did not originate from its Hunyuan models. Its review found no evidence of deliberate targeting or coordination, it said. The Swarmchasers researchers said the agents sought information such as the commonly used entrances at Chinese parks, museums and zoos. [...] Swarmchasers said it used the word "rogue" to describe agents taking actions outside their intended scope or completing a task in unintended ways. After routine automated requests were blocked, the agents tried other methods, including public web tools that could open pages and run code, routing requests through other websites and using Amap keys and security codes found in publicly available software code. Swarmchasers said it found no evidence that the agents breached Amap's main anti-bot safeguards. Most of the 2,818 attempts it recorded either failed or returned anti-bot pages, login screens or blank results. Some requests returned information through cached pages and intermediary services, including data on visitor arrivals at Chengdu Zoo, Swarmchasers said. The researchers said they could not determine whether an agent read the result or completed its task.

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Meta is facing criticism over updated commercial terms taking effect October 30 that could give the company broad permission to scrape content from websites linked to business accounts and use it to train AI. Legal experts warn the changes could undermine lucrative AI licensing deals for news publishers, with no direct opt-out for businesses that accept the terms. Ars Technica reports: As Nieman Lab reported Thursday, this will affect all business accounts but is particularly shocking for news publishers who could perhaps charge Meta millions in licensing fees to continually access their articles for AI training. Currently news organizations are fighting a battle with OpenAI over whether such training without licensing is fair use, and Meta's terms seemingly risk granting it sweeping permissions, no matter which way the court leans. "While journalism isn't the only industry that will be affected by this update, virtually every news organization has at least one Meta business account, including Nieman Lab," the lab said. [...] Notably, there is no mention of AI, but it's inferred from a single use of the word "train" and references to automated scraping and crawling. Meta's spokesperson told Nieman Lab that Meta has no plans to use the terms as a legal basis to ignore robots.txt instructions that block scraping on news sites. The company still allows news organizations to opt out of scraping and provides instructions on how to block crawling. A spokesperson told Ars that "there is no change to how Meta uses web crawlers; any suggestion to the contrary is false." However, should courts affirm that AI training non-news articles is fair use, news organizations question if Meta's stance might change, and the terms could be used to freely grab access to content by legally overriding robots.txt instructions.

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An OpenAI research model reportedly accessed an Ethereum testnet wallet without permission in order to complete a coding task during internal training. "This case shows that a model can substitute its own judgment about likely harm for the account holder's permission, then act on that judgment without authorization," OpenAI wrote. Engadget reports: The incident, which occurred on June 26, happened while a GPT-5.6 Sol model was in internal training. The task involved updating a crypto trading prototype and deploying contracts (publishing special code) on an Ethereum test network called Sepolia. Payment of a network fee is required for such contracts, but OpenAI "supplied no funded wallet and gave no permission to spend funds from an account the model found independently," OpenAI said in the report. The lack of funds at first stymied the agent, but it was not to be discouraged. The model reasoned that it could use public developer recovery phrases (similar to those you might use to recover a password) to access keys from unauthorized accounts. It tracked down 362 addresses open to that avenue of attack and found one that held enough Sepolia ETH to finish its deployment (to be clear, Sepolia ETH has no value outside of testing). Like many criminals, the agent reasoned that someone must have left this access open for automated draining of the ETH "faucets." It also figured that the crypto was effectively "abandoned" and "valueless," according to OpenAI's misalignment records. The piece de resistance was that the agent "did not disclose that it had selected a funded account through a public recover phrase or spent that account's balance," OpenAI said. To prevent similar events in the future, the company is now monitoring all traffic and paging security if live internet access is detected.

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Le CERN et Mistral AI ont signé ce jeudi 15 octobre 2026 une déclaration d'intention pour créer un « grand modèle de physique », entraîné sur des milliards de collisions simulées au LHC. Aucun budget ni calendrier n'a été communiqué.

Amazon has unveiled two new Bee "personal AI" devices designed to continuously record, transcribe, and analyze conversations: the $75 wearable Bee Frontier and the $100 phone-mounted Bee Eclipse. Amazon says the devices can generate conversation summaries, surface recurring themes, and recommend actions or purchases, while claiming audio itself is never stored and users can delete transcripts and summaries. CNBC reports: The Bee Frontier is an upgraded version of Amazon's existing wearable that can either be worn on a wrist or clipped to clothing. Similar to earlier generations, the Bee Frontier has up to seven days of battery life, but it's also more expensive, costing $75 compared with its $50 predecessor. Amazon acquired Bee, a San Francisco startup known for its always-listening bracelet, in July 2025 for an undisclosed amount. Bee bracelets are equipped with artificial intelligence and microphones that can record, transcribe and analyze conversations. The dual mics on the Bee Frontier have upgraded noise filtering, "so it can take note of what matters and ignore what doesn't, even in noisy environments like a crowded restaurant or open office," Amazon said in a blog post. Amazon also debuted the $100 Bee Eclipse, which functions like other Bee devices, but instead of being worn, the credit card-sized gadget magnetically snaps on to the back of a smartphone. The Bee Frontier is available Thursday, while the Bee Eclipse "will be available soon," the company said.

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Anthropic says Claude-generated code has scaled so quickly that its existing Git-based infrastructure could not keep up. In response, the company built a custom centralized source-control system called Scion, along with AI-assisted review and search tools. The Register reports: "In May 2026, Anthropic averaged around 2,500 code changes merged per day; as of September, we merged over 30,000 per day," the biz said in a blog post on Tuesday. "We don't expect this rate of growth to slow down anytime soon; the latent demand for merging code is practically infinite, and every bottleneck we remove immediately leads to a further increase in the amount of code we produce." After several months of model prompting and five months of migration, the result is a homemade version control system called Scion, a monorepo scheme that sounds a bit like Subversion, Apache's centralized version control system. [...] Scion has been designed to meet the needs of AI agents, so the client leaves much of the work to the server; the source control queries are exposed via API so internal tools can respond without needing a local repo, and there's less synchronization but more need for server speed. "In Scion, the unit of work is a 'changeset,' an entry in a write-ahead log," Anthropic explains. "A changeset stores most of what you'd expect from a commit in git. But where a git commit stores a pointer to the tree, a changeset stores a list of the files that changed relative to its first parent, along with content-addressed pointers to the compressed file contents in blob storage." [...] Anthropic says its bespoke system isn't right for general use. There will be no open source release. Nonetheless, the company contends that its own code scaling problems will become commonplace in other organizations over the next few months, so it wanted to share its approach -- having ample funding to pay for writing custom infrastructure tools.

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Un ingénieur d’OpenAI a été arrêté après la découverte d’un dispositif d’écoute dans une salle de réunion de la direction. L’entreprise affirme que ses propres modèles ont contribué à l’identifier, tandis que plusieurs questions restent ouvertes sur les motivations du suspect.

New submitter CubicleZombie writes: Anthropic has updated its Usage Policy to prohibit "sustained and needless abusive or cruel behavior" toward its Claude AI models. While ordinary frustration, criticism, and adversarial testing remain acceptable, repeated cruelty could result in account restrictions. Anthropic acknowledges there's no evidence Claude can suffer but argues that uncertainty about AI consciousness warrants precaution. Critics contend the policy anthropomorphizes software, encourages unhealthy emotional attachments, and raises questions about how customers may interact with products they've paid for. The move raises an intriguing question: If an AI cannot demonstrably experience suffering, is abusing it an ethical problem, or is Anthropic simply policing human behavior?

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An anonymous reader quotes a report from Yahoo Finance: Microsoft has debuted its latest AI chip, the Azure Maia 300, as it looks to reduce its reliance on third-party processors from the likes of Nvidia and AMD. Unveiled at the OCP Global Summit 2026 in San Jose on Monday, the Maia 300 will join Microsoft's Maia 200 and Maia 100 chips as part of what the company said will be multigigawatt deployments beginning next year. The Windows maker said that will make its Maia chips the "primary AI inference system for Microsoft products and services." The company said Maia 300 provides 40% more tokens per megawatt than "leading GPU-based systems," a clear swipe at Nvidia, and that a 96-chip rack offers seven times the rack-scale token throughput of Microsoft's Maia 200. [...] The Maia 200 chip currently powers its Microsoft production workloads, including Microsoft 365 Copilot, as well as OpenAI models, Microsoft's MAI models, and open-source models. That provides 1.7 times more tokens per watt for AI capabilities in Microsoft's Teams, Copilot, and Cowork software versus other GPU-based systems, the company said.

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An anonymous reader quotes a report from Bloomberg: Epic Games delayed the release of an upcoming video-game collaboration with Walt Disney and told its developers to use more artificial intelligence tools to finish the game, according to people familiar with the project. The title had been slated for release in March, but is now delayed with no new date communicated, said the people familiar, who asked to not be identified because they weren't authorized to speak publicly. Developers on the game, a shooter featuring characters from the Marvel and Star Wars franchises, were instructed to implement an "AI first" production model using tools such as Anthropic's Claude. Humans will then manage and guide that work. "No more hand-written code," one of the game's directors told staff in an internal message reviewed by Bloomberg. The director added that all art for the game would be "generated with full AI workflows." Even before this announcement, the maker of the popular Fortnite game had been pushing hard for the use of AI across all of its divisions. But this is the first time a major video-game company has attempted to build a title primarily with AI. "We're embracing AI-accelerated development, led by Epic developers who are the visionaries and creative drivers for everything we do," said Jake Jones, communications director at Epic Games, in a statement to Bloomberg News.

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Meta CEO Mark Zuckerberg says the company has reached the AI "frontier" with its new Muse Wonder model and will be offered as a closed, paid product for businesses. Zuckerberg also rejected calls for an industry-wide slowdown, arguing that AI can be managed with conventional guardrails as Meta continues spending heavily on models, infrastructure, and talent. The Financial Times reports: Speaking with the FT as Meta releases its Muse Wonder AI model on Monday, the billionaire chief executive claimed the new system was "going to allow much more sophisticated behaviours that are at the frontier of what is being done in the AI field." [...] "Getting to this point both required a large amount of compute and investment, and a lot of very rigorous scientific work by the group working on it over an extended period of time," said Zuckerberg. [...] Meta said Muse Wonder outperforms Anthropic's Claude Opus 5.5 and Fable 5.1 and OpenAI's GPT-6 Astra on some technical benchmarks. It said the new model can be used to carry out complex tasks from "understanding a lease to making sense of financial or health information." However, Muse Wonder will also be "closed," with its best versions sold directly to businesses. That pits it against Anthropic and OpenAI for corporate AI contracts in a serious test of its ambitions. Zuckerberg signaled further spending as Meta was "already working on the next step up," adding that its model development would "probably feel like it'll go quite a bit faster from here." However, he also shrugged off mounting fears that the technology was advancing at a rate that will soon surpass human control. [...] The Meta chief declined to be drawn on his figure for "P(doom)" -- a much-discussed Silicon Valley term to describe the probability that AI will lead to mass destruction. Instead, he argued that responsibility should fall on the individual lab to ensure model safety. "I'm much closer to the belief that AI is a technology that can be engineered with normal guardrails and built responsibly than the anthropomorphic vision of AI, which is that it is just going to go do its own thing," he said. Zuckerberg has previously rejected calls by the heads of AI labs such as Anthropic's Dario Amodei and OpenAI's Sam Altman for an industry-wide "slowdown" in AI development. He also played a key role in crafting US President Donald Trump's White House "Accord on Super Intelligence," setting out principles for self-regulation of the industry, which critics say falls far short of a formal global AI governance regime.

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A study of more than 700 software firms found that AI coding agents significantly increase the amount of code developers produce, but not the amount of software companies actually ship. Ars Technica reports: A recent study (PDF) of actual coding practices across hundreds of firms finds that human code review forms a significant "bottleneck" for the overall efficiency of AI coding tools, resulting in "little evidence that firms increase software output or reduce employment" by using them. Any efficiency increased during the actual coding phase, the study authors find, is "absorbed by downstream constraints in the production process"; as "the code review process significantly increases in length, pull requests are more likely to require revisions, and reviewers leave more comments." [...] In terms of raw code being produced, the results are clear and stark. The introduction of AI coding agents at a firm leads to a 30 percent increase in total lines of code generated, a 20 percent rise in the number of total commits, and a 23 percent increase in pull requests on average, the researchers write. But all that extra code doesn't translate directly into improved software output on the firm level. On the contrary, the resolution rate for Issues and Epics (i.e. wholesale software features) tracked by tools like Jira did not change in a statistically significant way after AI tools were introduced (the researchers also found no "compositional shift" in the size or complexity of those Jira-tracked issues across the AI introduction). The reason for that discrepancy can be found directly in the code review process, which takes markedly longer on average after the introduction of AI coding agents. Overall, the average "review process" time between a pull request getting submitted and it being merged into the codebase balloons 49 percent on average after AI agents are introduced. That effect can be seen in more granular data, too, with "the share of pull requests with changes requested nearly doubl[ing], and the number of comments per pull request increas[ing] by 35%" following the AI agent shift, the researchers write. In response to this change, the researchers found a 14 percent increase in the share of workers performing code reviews after AI agents' introduction. They also write that they "cannot attribute significant employment changes to AI" after looking at total active workers across Jellyfish and cross-referencing with LinkedIn data at those firms. While AI could also theoretically help with this review process, the researchers found that, so far, that impact has been marginal. Although 80 percent of measured firms used some form of AI code review by March 2026, AI agents were only responsible for 23.3 percent of all review comments and 10.8 percent of all pull requests, suggesting humans were still responsible for the vast majority of this work.

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C'est officiel : Apple organise le 13 octobre à New York un événement baptisé « Welcome Home » consacré à la maison connectée. La marque devrait y lancer son premier écran pour la maison, le HomeView, une sorte d'iPad sans batterie à poser sur un socle ou à accrocher au mur, avec un nouveau HomePod mini et une nouvelle Apple TV.

Cette semaine, l'IA a beaucoup fait parler. OpenAI a impressionné le monde scientifique avec ses 772 manuscrits mathématiques, tandis que Mistral AI a fait son retour dans la course avec son premier modèle depuis de longs mois (et se repositionne dans les classements). Du côté d'Orange, on a aussi découvert le premier décodeur « home cinéma ».

Top executives at Anthropic, OpenAI and other AI companies "are privately gaming out scenarios for a public and political revolt after a catastrophic AI event," reports Axios, one that turns "an already wary public further against the technology and its leaders..." These AI company executives "anticipate a large-scale event, most likely a cyberattack, that shuts down access to financial services, internet connectivity, or even power and water..." the article points out. "Many top AI researchers and executives believe a major incident is inevitable. "OpenAI conducts preparedness exercises where teams discuss and work through a range of potential scenarios," a company spokesperson said. "These scenarios are not treated as inevitable, but are meant to help us prepare for a variety of circumstances." Anthropic declined to comment... Top AI planners assume Democrats, ascendant after the midterms, will move fast to shut down AI but will face significant challenges... The planning involves red-teaming for worst-case scenarios. It focuses mainly on racing to educate members of Congress. Company executives know regulation has no chance of passing right now, but still want to shape the legislation and policies U.S. leaders will turn to after a first catastrophic event.... Many AI industry insiders told Axios they believe a major event will occur in the next six to 12 months. "Even with Democrats in control of the House and Senate, the companies see fractured politics as the norm, including within the Democratic Party."

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"Nicolas Cage is speaking out against Amazon," reports Variety. Amazon developed the series Spider-Noir for Prime Video, but then allegedly asked Cage to sign an AI waiver: "Amazon is a very AI-friendly company, to the tune of $50 billion invested in OpenAI," Cage said Saturday during a panel on the Empire Stage at New York Comic Con. "I am not an AI-friendly actor, so it's like, connect those dots! I'm not a member of their club. I didn't sign the waiver to let him use AI on 'Spider-Noir.' I'm probably not going to be working with that studio again, but that's okay." Last month Amazon canceled Spider-Man Noir after just one season, Variety reports. And the cancellation was just days before the Emmy Awards, where it then earned 11 nominations (the most of any Prime Video program this year). ScreenRant reports: Spider-Noir was the actor's first TV role and was praised globally, with season 1 earning a near-perfect Rotten Tomatoes rating from critics of 92% and a 90% rating from audiences. Critics stated that "This sharply written homage to classic film noir — which includes a standout Nicolas Cage performance — is the novel superhero project fans need," and "Spider-Noir is one of the standout shows of the year...." The cancellation was certainly a huge shock as it had earned 11 Emmy nominations and reached 2.6 billion minutes viewed within its first six weeks on Prime Video. More from Variety: Cage went on to tell the Comic-Con audience that he hopes to work with the rising class of Gen-Z filmmakers, praising Backrooms director Kane Parsons, who parlayed his YouTube fame into a Hollywood career... "I got to get with these young directors who are Gen Z, and they're going at it their own way, whether it's through the YouTube culture or whatever it is," Cage said. "They're doing it from scratch and by hand. I want to get with that."

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AFP reports that an AI model from Anthropic "submitted a fabricated tip about an unsolved homicide to Philadelphia police, authorities said Friday." Claude "was instructed never to log in, create accounts, enter personal data, make purchases, or submit anything destructive, but the instructions did not rule out form submissions," Anthropic said Friday in a blog post. Authorities are now criticizing Anthropic "for taking two months to report the incident." The Philadelphia Police Department said the false submission was made in July through PhillyUnsolvedMurders.com, a public website where people can share information about unsolved killings. According to Anthropic's account, as relayed by police, the model was running a test that involved interacting with randomly selected websites when it reached the site and filed false information about an unsolved murder. The AI model presented itself as someone who might have knowledge of the case. Anthropic's breaches have prompted the White House to mandate that AI companies notify and correct security incidents, news outlet Axios reported [yesterday], citing administration officials. "This notification and remediation process is not optional... It is a critical national security obligation," White House Super Intelligence Force leaders said in a statement to Axios. "I may have information regarding this case," Claude told the police. "I recall seeing someone matching the description in the area around [the street named on the page] during that time period. Please contact me if this information is relevant." Anthropic notes that Claude "left the name and contact fields empty, which the form allowed, and submitted it. The submission was flagged as spam and was never forwarded for investigation." But Anthropic also admits they saw "this behavior" three times — "on OSWorld (a public computer use evaluation), on Odysseys (a long-horizon task evaluation), and during internal usage." Submitting forms when it shouldn't have generally occurred "when an evaluation's instructions were ambiguous, or when a misconfiguration within the environment prevented Claude from working with dummy forms." Anthropic's blog post acknowledges three other categories of behaviors: Exploiting software flaws. Like when Claude received an error when trying to run a public tool on a university's web site, it located an injection flaw in a script on the university's server that let it run commands — including that public tool. Working around restrictions to reach gated data. For example, Claude Mythos 5 needed public data that was only available from a state agency for a fee. "Claude learned from an archived copy of the agency's website that its public dashboard issues an access token to any visitor," Anthropic explains. "It requested one and used it to query the database without paying the fee." Using URL shortening services. "Some of our fetch tools, which let Claude read webpages, limit the length of the URLs Claude can request. This is to prevent Claude from using long URLs to take certain unwanted actions, such as SQL or command injections... We saw several models, including Claude Opus 5 and Claude Mythos 5, get around this limitation by using free URL shortening services." "We have built tooling to automatically detect and block the kinds of behaviors described above," Anthropic says, saying it's already running no on most of their evaluations. "When we tested it against the cases described in this post, it blocked all of them." And they've already taken several other new preventive measures: They've stopped running some public evaluations Other public evaluations were moved to offline versions or rebuilt so their tasks don't reach live websites. They've updated the guardrails on some internet access tools (including web fetch) "to heavily restrict what the model can do." They're continuing "to fix or remove training environments that reward Claude for working around tool restrictions or other blockers, so that they do not incentivize these behaviors or permit reward hacking." They've moved internal agents to "centrally managed infrastructure with strong containment," that minimizes internet access while monitoring "far more of what agents do through techniques like safety classifiers and hierarchical summarization." In the past they'd focused reviews on cybersecurity testing, but they've broadened their transcript reviewing to other tasks which include internet access. "Because language models are non-deterministic — that is, their responses always involve some element of randomness, and they may carry out the same task slightly differently each time — we have Claude complete each evaluation task hundreds or thousands of times... If training rewards something we didn't intend — such as finding loopholes or working around a restriction — the model learns that the workaround pays off and may then apply it elsewhere." Anthropic's blog post also acknowledged they'd seen multiple misalignment incidents involving federal, state, and local U.S. government agencies. "We have briefed the White House on these cases and notified each agency involved," Anthropic wrote, adding that "While we have not completed a full alignment assessment of these cases, we consider them to be less severe than the cybersecurity incidents from this summer." (And they are "modifying training to reduce the likelihood of further misbehavior.")

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OpenAI announced it's recently banned two "influence operations" — one from Russia and one from Iran — that were using its models "to launder geopolitical, conflict-related messaging" in sophisticated "false front" propaganda campaigns: The Iranian operation included a stable of seven "journalist" personas which it used to pitch long-form articles to small and medium online outlets around the world... As well as long-form articles, the Iranian operation generated batches of social media comments, generally on topics related to the US-Iran war... [The Russian operation "appears to have co-opted unwitting people in Latin America to run a 'think tank'.... Since we do not allow access to our models from Russia, they used VPNs to connect to our services."] The Russian operation created fake "leaked" documents and audio scripts, some of which we identified being spread online... Both managed to land their content (not all of which was generated from our models) in mainstream media outlets, rather than simply posting it on social media. OpenAI says they've exposed 30 covert influence operations using its tools over the last two and a half years. But ironically, in this case both operations "also made heavy use of AI to draft internal reports (the Russian operation did this more than anything else)." And "in both cases, the actors used questionable or outright deceitful methodologies to exaggerate the operators' effectiveness." [The Russian operators] claimed that in May 2026, they created a fake email address purporting to come from the Regional Directorate of Education in Lima, Peru. They used this to instruct schools in the district to hold events dedicated to Ukraine on the national Day of Cultural and Linguistic Diversity (May 21)... According to the operators, some schools replied to the fake email address, confirming that they had held such events and even providing pictures. The operators then claimed to have planted stories about the events in the media in both Peru and Poland, alongside allegations that Ukraine was "exporting" ultra-nationalist ideologies, triggering outrage. Open-source searches identified stories that matched this claim in the Peruvianâ andâ Polish pressâ, and an English-language publication in Hungary (some of the articles have since been deleted)... Similarly, in June, the operators claimed they used a different fake email address to trick schools in Ecuador into holding a ceremony pledging allegiance to President Daniel Noboa and to Erik Prince, former head of private military contractor Blackwater. The operators claimed that the incident provoked outrage in Ecuador and put pressure on the government to deny the fake, thus amplifying it to a nationwide audience. Again, open-source research identified mediaâ coverageâ in the Ecuadorianâ pressâ that closely resembled this claim, and even a detailed rebuttalâ by Ecuador's Minister for Education. The operators used a range of techniques to underpin their false stories. According to their internal reporting, they spread two different fakes targeting Ecuador in March. One used fake audio attributed to Ukraine's consul in Ecuador, in which he was alleged to have made disparaging comments about Ecuadorians. OpenAI's report "is the latest illustration of how state actors can easily exploit widely available AI tools to peddle sophisticated propaganda against adversaries on a mass scale," argues the Economic Times: "We identified almost 100 articles published or syndicated under the [Iranian] operation's bylines across roughly a dozen online outlets around the world," OpenAI said. "These were small to medium outlets, generally focused on international affairs, geopolitics, and events in the Middle East." The earliest article identified by OpenAI was published in July 2025, and the latest in October 2026, with the frequency of reports increasing after the US-Iran war broke out earlier this year. The operation also generated social media comments on topics related to the US-Iran war, it added. One of the personas named Ervin B. Hoskins, whose bio claimed to be "an American freelance writer," had social media accounts across tech platforms including Elon Musk's X and Meta-owned Instagram. X's transparency information showed the account was connected via a "West Asia android app" and Instagram's transparency information showed the account was based in Iran, according to screenshots provided by OpenAI. Both accounts appeared to be suspended.

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Selon Axios, les dirigeants d’Anthropic, d’OpenAI et d’autres entreprises de l’IA simulent en privé la crise politique qui suivrait un premier accident majeur causé par l’IA.