Show notes
Eric Jang walks through how to build AlphaGo from scratch, but with modern AI tools. Sometimes you understand the future better by stepping backward. AlphaGo is still the cleanest worked example of the primitives of intelligence: search, learning from experience, and self-play. You have to go back to 2017 to get insight into how the more general AIs of the future might learn.
Highlighted moments
In AlphaGo, you don't train the policy network to imitate the MCTS action. You train it to imitate the MCTS distribution.
Transcript
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