Of the various ways experts fear AI could kill us all , one is slowly moving closer to reality: AI learning to make itself unstoppable. Why it matters: Recursive Self Improvement, the ability of an AI model to build better versions of itself without human guidance, could make increasingly capable systems harder for humans to control. - The RSI threshold doesn't represent danger by itself, but a lack of human control combined with rogue AI agents is a scenario that safety-conscious AI researchers have long feared. Driving the news: Researchers at Anthropic and OpenAI say the process of training new models has grown more automated, coming close to the RSI rubicon. - An OpenAI employee told The Information the company has largely automated…
Of the various ways experts fear AI could kill us all , one is slowly moving closer to reality: AI learning to make itself unstoppable. Why it matters: Recursive Self Improvement, the ability of an AI model to build better versions of itself without human guidance, could make increasingly capable systems harder for humans to control. - The RSI threshold doesn't represent danger by itself, but a lack of human control combined with rogue AI agents is a scenario that safety-conscious AI researchers have long feared. Driving the news: Researchers at Anthropic and OpenAI say the process of training new models has grown more automated, coming close to the RSI rubicon. - An OpenAI employee told The Information the company has largely automated…Open
Top AI architects say their technology has arrived at a threshold once confined to science fiction: the singularity, or the moment machines begin accelerating their own evolution. Why it matters: If these moguls are right, we may be entering the most consequential technological transition in human history — the opening stages of an "intelligence explosion " that transforms civilization faster than humanity can understand or control. Driving the news: Google jolted the tech world Wednesday by announcing a sweeping rupture in the brain trust that built its modern AI empire, as its leaders signaled that artificial general intelligence (AGI ) is within reach. - DeepMind founder and CEO Demis Hassabis , who has declared we're "standing…
Top AI architects say their technology has arrived at a threshold once confined to science fiction: the singularity, or the moment machines begin accelerating their own evolution. Why it matters: If these moguls are right, we may be entering the most consequential technological transition in human history — the opening stages of an "intelligence explosion " that transforms civilization faster than humanity can understand or control. Driving the news: Google jolted the tech world Wednesday by announcing a sweeping rupture in the brain trust that built its modern AI empire, as its leaders signaled that artificial general intelligence (AGI ) is within reach. - DeepMind founder and CEO Demis Hassabis , who has declared we're "standing…Open
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…
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…Open
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 , 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…Open
AI models that can learn as they go are one of the hot new areas drawing interest from both startups and the leading labs, including Google DeepMind . Why it matters: The move could accelerate AI's capabilities, but also introduce new areas of risk. Known technically as recursive self-improvement, the approach is seen as a key technique that can keep the rapid progress in AI going. - Google is actively exploring whether models can "continue to learn out in the wild after you finish training them," DeepMind CEO Demis Hassabis told Axios during an on-stage interview at Axios House Davos. - Sam Altman said in a livestream last year that OpenAI is building a "true automated AI researcher" by March 2028. What they're saying: A new report …
AI models that can learn as they go are one of the hot new areas drawing interest from both startups and the leading labs, including Google DeepMind . Why it matters: The move could accelerate AI's capabilities, but also introduce new areas of risk. Known technically as recursive self-improvement, the approach is seen as a key technique that can keep the rapid progress in AI going. - Google is actively exploring whether models can "continue to learn out in the wild after you finish training them," DeepMind CEO Demis Hassabis told Axios during an on-stage interview at Axios House Davos. - Sam Altman said in a livestream last year that OpenAI is building a "true automated AI researcher" by March 2028. What they're saying: A new report …Open