
Uri and I discuss his recent perspective that conceives of brains as super-over-parameterized models that try to fit everything as exactly as possible rather than trying to abstract the world into usable models. He was inspired by the way artificial neural networks overfit data when they can, and how evolution works the same way on a much slower timescale.
Show notes:
Panelists: Adrienne [email protected] [email protected] [email protected] 054 Kanaka Rajan: How Do We Switch Behaviors? This is the second in a series of panel discussions in...
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