Turing Award winner Richard Sutton says pure generative AI can't do real science (the-decoder.com)

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. The article Turing Award winner Richard Sutton says pure generative AI can't do real science appeared first on The Decoder .