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The "AI" that won Go was Monte Carlo tree search on a neural net "memory" of the outcome of millions of previous games; this is a LLM solving open ended problem
by Invictus0 1y ago
The "AI" that won Go was Monte Carlo tree search on a neural net "memory" of the outcome of millions of previous games; this is a LLM solving open ended problems. The tasks are hardly even comparable.
- gafferongames 1y agoAnd then they created AlphaGo Zero, which is not trained on any previous games, and it was even stronger! https://deepmind.google/discover/blog/alphago-zero-starting-from-scratch/ https://deepmind.google/discover/blog/alphago-zero-starting-...
- yorwba 1y agoAlphaGo Zero was also trained on millions of games, they just weren't games played by human players.
- yobbo 1y agoA "reasoning LLM" might not be conceptually far from MCTS.
- SonOfLilit 1y agoI really don't like the use of the word memory here, even in quotes. AlphaGo has a much better "understanding" of Go positions than mine (7k).
- Workaccount2 1y agoNothing that uses a mathematical model for solving a problem will ever reason because reasoning can only be done by things we don't understand...