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…
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…
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:AI companies and startups are increasingly focusing on "recursive self-improvement," a process where AI models learn and improve themselves continuously rather than remaining static after training. While leaders like Google DeepMind's Demis Hassabis and OpenAI's Sam Altman explore this technology to accelerate scientific research and R&D, experts warn that it introduces significant risks. Unlike controlled environments like chess, real-world applications of self-improving AI could lead to harder-to-detect errors, unintended consequences, or misuse, prompting calls from researchers for better transparency and updated safety frameworks.Open