Turing Award winner Richard Sutton sees a central weakness in conventional generative AI: it can't evaluate its own results. Without that ability, real scientific discovery remains impossible: novelty flickers briefly and is lost again. Systems like AlphaGo or AlphaProof show that only built-in evaluation loops let AI be genuinely creative, Sutton argues.<br /> The article Turing Award winner Richard Sutton says pure generative AI can't do real science appeared first on The Decoder. [...]
Richard Sutton, 2024 Turing Award winner and co-founder of modern reinforcement learning, has launched a new startup called Oak Lab in Toronto. He calls current deep learning methods "weak and in [...]
Richard Sutton, a leading figure in reinforcement learning and Turing Award winner, says the AI industry has lost its way.<br /> The article Richard Sutton says the AI industry has "lost it [...]
Andrew Barto and Richard Sutton have won the 2024 A.M. Turing Award for developing key technologies that power modern artificial intelligence, including recent breakthroughs in large reasoning models. [...]
One of the most decorated minds in AI is striking out alone. Richard Sutton shared the 2024 Turing Award for founding modern reinforcement learning. On Monday he said he is leaving John Carmack’s st [...]
Researchers at the Alan Turing Institute have shown that GitHub Copilot will produce harmful content it would normally refuse. The trick is to spread the request across an ordinary coding workflow. Th [...]