What Demis Hassabis thinks about neural networks

@demis-hassabis · 24 positions · On ppll ↗

Co-founder and CEO of Google DeepMind, and a 2024 Nobel laureate in Chemistry for the protein-structure work behind AlphaFold.

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1 dated position, 2025, in their own words. Our reading of what Demis Hassabis has said — not written or endorsed by them.

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23 Jul 2025

Our readingAnything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.

Their wordsAnd I think the reason that's possible is that in nature, natural systems have structure because they were subject to evolutionary processes that shape them. And if that's true, then you can maybe learn what that structure is.

↗Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games | Lex Fridman Podcast #475youtube.com 1st of 20 in this recording