Turing Award winner Richard Sutton says pure generative AI can't do real science
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. [...]
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