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#258 – Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning

Lex Fridman Podcast

NOTE

Knowledge Requirements in Intelligence

The fundamental aspect of intelligence lies in the ability to form a background model, requiring a vast amount of knowledge which is difficult to quantify, potentially less than a billion neurons. Most of this knowledge is acquired through self-supervised learning, while only a small portion is learned through reinforcement learning, with classical supervised learning posing uncertainties in the biological world.

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