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Turing Award winner Richard Sutton says pure generative AI can't do real science
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.
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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Richard Sutton says the AI industry has "lost its way" by ignoring core principles of intelligence
Richard Sutton says the AI industry has "lost its way" by ignorin

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Algorithms from the 1980s power today's AI breakthroughs, earn Turing Award for researchers
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fastcompany
AI pioneers win the Turing Award, tech’s top prize

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venturebeat
Three ways AI is learning to understand the physical world

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The UK needs to deal with its e-scooter problem
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zdnet
AI scholars win Turing Prize for technique that made possible AlphaGo'

Scholars Andrew G. Barto and Richard S. Sutton pioneered reinforcement learning long before it became a key tool in AI. [...]

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The next leap in AI depends on agents that learn by doing, not just by reading what humans wrote
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The Golden Globes will start giving an award to the best podcast of the year
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2025 Hugo Award game finalists include Zelda: Echoes of Wisdom and Dragon Age: The Veilguard
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