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> The architecture of AlphaGo (policy and evaluation networks plus MCTS) is sufficient to recreate and surpass any kind of human-practical strategy This is an
by modeless 4y ago
> The architecture of AlphaGo (policy and evaluation networks plus MCTS) is sufficient to recreate and surpass any kind of human-practical strategy
This is an assertion without evidence. Leela Zero uses the architecture of AlphaGo and yet this guy just beat it with a human-practical strategy. I have no doubt that this can be fixed, but exactly how to fix it is not obvious and it may require more compute, and that's interesting.
- inimino 4y agoHumans have two ways to pick a move: look at the board and pick a move based on the position (pattern matching, intuition, etc) and calculation (tree search). Machines can already do both better. That is my evidence. There isn't any room left in this process for some uniquely human ability.