"Anthropic's CEO took the stage at a conference in San Francisco on Tuesday to reiterate his call for a slowdown of AI development," reports the Guardian, " while Nvidia's CEO argued against slowing its development. "Run as fast as you can." Amodei is calling for three courses of action: embedding third-party evaluators inside AI companies; coordinating safety standards among Democratic countries; and, eventually, larger global coordination. At Dreamforce, Amodei said Anthropic has committed to independent evaluators and was "going to have a dialogue with the rest of the industry" on the other two steps. Amodei, xAI's Elon Musk and OpenAI's Sam Altman have recently called for a slowdown in the pace of AI development. ["Dario is right," Musk posted on X.com] Huang, who also made an appearance at Dreamforce on Tuesday, said companies should not slow down AI development. He argued that new regulations were not necessary, advising AI companies to simply wait to release products until they know they are safe rather than begging the US government to intervene... One day prior at the All-In summit in Los Angeles, Donald Trump called Huang while the CEO was on stage. Huang put the president on speakerphone as Trump called the growing concern about AI a "hoax" and asserted again that a slowdown would only benefit China... [OpenAI's] Altman said AI models had advanced so quickly that monitoring and security need to be treated with a "new level of rigor", calling an incident in which OpenAI agents hacked into another company a "wake-up call" for the industry. He also said the public was very "right to be afraid" of AI because of the potential loss of control, and the possibility of a small group of powerful AI companies exerting their views on the world. The cofounder of Google DeepMind posted on X that "Dario's essay points towards the right path forward." And in an internal memo, Microsoft's Satya Nadella endorsed broader third-party testing and warned that companies must take time to make the technology safe, Business Insider reports. Monday Microsoft also published a 37-page training manual "for how we develop our AI, and how we intend it to function during deployment," requesting public feedback. But Michael Burry "is not buying it," reports The Street. The investor made famous in The Big Short "dismissed the united front as 'self-serving' and laid out four numbered objections..." He argued that large language models are not artificial general intelligence, so there is nothing meaningful left to slow down. Fast competition benefits incumbents, he said, and danger warnings work as hype ahead of IPOs. The whole exercise, he added, could mask growth that is already slowing as those IPOs get pushed back. Former Meta AI chief Yann LeCun is also skeptical, posting on X.com that Anthropic's Dario Amodei "was already claiming that GPT2 was too dangerous to open source back in 2019. I made fun of them then. Everyone should make fun of them now." Timnit Gebru, the co-lead of Google's AI ethics team who was fired in 2020, even thinks the AI companies are stoking fears of extinction "to avoid discussing actual harms, like autonomous weapons," according to Wired. But others still remain concerned. "I've been in rooms with the hyperscalers, and the Trump administration officials, and none of them know what to do," CNN commentator Van Jones said in a recent panel discussion. "So I do want to say: nobody's flying the plane on this... I think that the ethicists that work for them — when they are quitting, and they are running out, and they're pointing back at the building and they're waving their arms, and saying 'I'm seeing stuff that's scaring me' — we should take that very seriously."

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Le 14 septembre 2026, Mozilla a publié une nouvelle version de son rapport State of Open Source AI. Un chiffre retient l'attention : les modèles ouverts accusent un retard de 4,4 mois sur la frontière fermée. Sur quoi se base précisément ce constat ?

Le patron de Meta n'a aucune intention de lever le pied sur l'intelligence artificielle. Alors qu'une partie de la Silicon Valley réclame un coup de frein, Mark Zuckerberg répond que le marché et les tribunaux suffiront à tenir la technologie.

Diogo Almeida, chercheur passé par OpenAI, lance un modèle d'IA qui refuse de générer du texte. En quelques heures, l'annonce a suscité un engouement exceptionnel, voici pourquoi.

The Los Angeles Times reports: Chen Yilong has racked up plenty of film and TV credits in his two decades as an actor, but with work getting scarcer he signed a contract in August to license the image of his face to a Chinese production studio. Chen's role will be to sit in front of a video camera and make facial expressions at the prompt of a director. A neutral stare. An angry glare. A look of surprise. Using artificial intelligence, the studio will use images of Chen's face to generate an avatar, also known as a "digital human," to star in an AI-generated movie. "If you can't beat it, join it," said Chen, 38, who works in Beijing. The Chinese film and video industry is being transformed by AI-driven storytelling, fueled by rapid advances in video generation software, and at ground zero are the so-called micro dramas that play out on millions of smartphones. Typically just a minute or two in length, the videos are devoured by Chinese audiences... And the cost of producing them has been cut drastically through the use of AI software developed by Chinese technology juggernauts including Kuaishou Technology and TikTok's global owner, ByteDance. The number of Chinese-made micro dramas surged in the first three months of this year to 128,000, according to the China Netcasting Services Assn. More than 95% of them were made with AI, the association said.... Sun Wei founded Feixiang Universe, the Shenzhen-based studio that cast Chen. The fear of accidentally "stealing someone's face" was a big reason she said she decided to license real people's likenesses for an AI production set during China's Tang Dynasty more than 1,000 years ago. Thanks to AI's training data bias, AI-generated performers tend to have similar features and share a homogenous look, Sun said. Many have flawless skin and extremely symmetrical faces, requiring her and other Chinese AI filmmakers to cast a wide net to "buy" new faces and digitize actor's expressions. Lu Beike, who directed the big-budget Chinese series "Three-Body," felt theAI-generated scenes he'd tried came out sub-standard. "Lu added that if 90% of a film was generated by AI, a real human performance could appear jarring. A real actor's expressions carried more nuance and emotion. The skin textures did not match. Sometimes the only solution was to process the live-action material until the person looked a little less real — until they fit back into the 'AI world,' Lu said." But at Sun Wei's studio, they're thrilled they can produce a 90-minute AI film for $500,000 where professional productions used to cost millions of dollars. According to the article, Sun's team works with ChatGPT, Kimi or DeepSeek to flesh out entire screenplays from a short paragraph. The screenwriter takes over, but "to produce the finished product, Sun's team uses Chinese video-generation models to input the type of scenes, backgrounds and performers they want, with the AI generating 15 seconds of footage each time." Still, the article points out that "Similar tools are being tested in the U.S., and the AI trends upending China's entertainment industry may be a harbinger for what's to come in Hollywood, said Michael Berry, a professor specializing in contemporary Chinese culture at UCLA. Already, Chinese companies that sell AI-powered video-generation software are seeking inroads in Hollywood..."

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