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#144 – Michael Littman: Reinforcement Learning and the Future of AI
Lex Fridman Podcast
The Limits of Neural Networks in the Context of Language Models
Self-supervised learning doesn't require too much or any human labeling. Can we find ways to formulate problems in this world that are important to us humans, like more important than the game of chess? That could be applied to self-supervised approaches. To create intelligent systems that do something really powerful and pass a Turing test.
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