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:
Jussi Puikkonen/KNAW Liz and I discuss her work on cognitive development, specially in infants, and what it can tell us about what makes human...
Support the show to get full episodes and join the Discord community. Steve Byrnes is a physicist turned AGI safety researcher. He's concerned that...
What is creativity? How do we measure it? How do our brains implement it, and how might AI?Those are some of the questions John,...
