Experience and Learning
The discussion delves into the importance of experiential learning for intelligent systems, suggesting that mere data accumulation may not suffice for developing common sense. It highlights the value of actively interacting with the environment, as this approach allows for a deeper understanding through trial and error. The conversation raises intriguing questions about the balance between random data sampling and selective, meaningful engagement with the world.In this clip
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Lex Fridman Podcast
Sergey Levine: Robotics and Machine Learning | Lex Fridman Podcast #108
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