Self-Supervised Learning
The discussion explores the potential of self-supervised learning in AI, likening it to how children learn from minimal examples. By consuming vast amounts of data, AI could develop a deeper understanding of concepts, much like humans discern differences between a cat and a dog. The concept of self-play is also examined, highlighting how systems can enhance their skills by competing against slightly superior versions of themselves, leading to exponential improvement.In this clip
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Huberman Lab
Dr. Lex Fridman: Machines, Creativity & Love | Huberman Lab Podcast #29
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