The three men racing hardest to build superhuman AI — Demis Hassabis , Sam Altman and Dario Amodei — all agree the frontier needs to be regulated ASAP. Why it matters: For the first time, the CEOs of Google DeepMind, OpenAI and Anthropic are on the record, in writing, converging on the same diagnosis and remarkably similar prescriptions. The three rivals each published a detailed distillation of their views in the past five weeks — the same extraordinary stretch in which Washington twice intervened to restrict or delay access to frontier models. - We hear Meta's Mark Zuckerberg is working on his own memo, too. Driving the news: Hassabis' proposal , published Tuesday, drew rare public praise across the bitterly competitive AI…
A new UN-backed commission will bring top tech executives and heads of state to the same table to forge global rules for AI , per an announcement shared exclusively with Axios. Why it matters: As global AI regulation grows more splintered , this initiative is an attempt to connect the executives building advanced AI with a group of global politicians. Driving the news: The United Nations and its International Telecommunication Union are convening the AI for Good Global Commission, which will hold its first meeting on July 8 in Geneva, Switzerland. - Salesforce CEO Marc Benioff and Rwandan President Paul Kagame will co-chair the commission. - Other members include ITU Secretary-General Doreen Bogdan-Martin, Estonian President Alar Karis,…
AI development is moving so rapidly that soon it will be able to advance itself without human involvement, per a new blog post from Anthropic. Why it matters: "Recursive self-improvement," a process in which AI systems build, test and improve themselves, is a phenomenon which may come sooner than expected, Anthropic says its research shows. Driving the news: Anthropic warns that AI is no longer just changing how people work, it's also beginning to change how AI itself gets built. - New data from the company suggests that frontier models have accelerated coding, debugging and research. - That is likely to create a feedback loop in which AI systems create even more sophisticated successors. What they're saying: "We've always found that…
Anthropic , the AI lab whose identity is wrapped around warning the world about AI risk, is claiming "early signs" of AI not just coding its own products but building itself. Why it matters: Anthropic co-founder Jack Clark predicted this week that there's a 60%+ chance of an AI model fully training its successor by the end of 2028. "What I'm looking at is a technological trend where, if anything, the speed will accelerate further," Clark told us. In the new research agenda for The Anthropic Institute — first shared with us, and out Thursday — the company says it's seeing signs of "AI contributing to speeding up the research and development of AI itself," a process known as recursive self-improvement. And Anthropic researchers think…
Anthropic announced this week that its new model found security flaws in "every major operating system and web browser." Even before the news, AI models had gotten dramatically better at finding bugs.
The company’s current battle with the Pentagon distracts from the military use of its flagship model. The post The Big Problem with Anthropic’s ‘AI Safety’ Brand appeared first on The American Conservative .
Politics The Big Problem with Anthropic’s ‘AI Safety’ Brand The company’s current battle with the Pentagon distracts from the military use of its flagship model. The San Francisco–based AI company Anthropic has garnered national attention after a high-profile public dispute with the Pentagon over AI safety standards and the potential use of its technology for mass domestic surveillance. Its defiance of demands from the Trump administration—which last month led to a ban on federal government contracting with the company that is now the basis of an Anthropic lawsuit against the administration—prompted Silicon Valley elites…Open