AI’s Biggest Secret: Why It Defies Physics

Philip Anderson said more is different. Nigel Goldenfeld takes that fight into neural nets: a model with enough parameters should just fit noise. It doesn’t. There’s a phase transition in learning.

Full episode: https://youtu.be/mWGG_Frnatk

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Nigel Goldenfeld is a Professor of Physics at UC San Diego, a Fellow of the Royal Society, a Member of the National Academy of Sciences, and a former director of NASA’s Astrobiology Institute.

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Featured Guest:
Nigel Goldenfeld website: https://guava.physics.ucsd.edu/~nigel/
Lectures on Phase Transitions and the Renormalization Group: https://www.amazon.com/dp/0201554097
Nigel Goldenfeld on Bluesky: https://bsky.app/profile/nigelgoldenfeld.bsky.social

My books:
Losing the Nobel Prize (memoir): http://amzn.to/2sa5UpA
Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu
Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U
Galileo’s Dialogue (first-ever audiobook): https://a.co/d/iZPi9Un

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