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Podcast: The Jim Rutt Show
Episode: EP 192 David Krakauer on Science, Complexity and AI
Description: Jim has a wide-ranging talk with David Krakauer about the ideas in his forthcoming paper "The Structure of Complexity in Machine Learning Science" and how AI may alter the course of science. They discuss data-driven science vs theory-driven science, a bifurcation in science, the protein folding problem, brute force methods, the origin of induction in David Hume, the origin of neural networks in deductive thinking of the '40s, super-Humean models, crossing the statistical uncanny valley, ultra-high-dimensionality, adaptive computation, why genetic algorithms might come back, Chomsky's poverty of the stimulus, the lottery ticket hypothesis, neural nets as pre-processors for parsimonious...