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:
Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord...
Support the show to get full episodes and join the Discord community. Mazviita Chirimuuta is a philosopher at the University of Edinburgh. Today we...
Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord...
