The Bitter Lesson
A thought-provoking discussion emerges around the notion that significant advancements in AI often stem from simple algorithms that thrive on increased computational power. Rich argues that while academics celebrate complex tricks, the reality is that the core of progress relies on waiting for hardware improvements. This perspective challenges the traditional view of machine learning as an independent discipline, suggesting it may just be a byproduct of computer architecture evolution.In this clip
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Lex Fridman Podcast
Michael Littman: Reinforcement Learning and the Future of AI | Lex Fridman Podcast #144
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