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In chess, it is possible that humans and bots can both someday play perfectly, and every game will be a draw. (Young people might play chess until learning how
by inimino 4y ago
In chess, it is possible that humans and bots can both someday play perfectly, and every game will be a draw. (Young people might play chess until learning how to draw, and then move on.)
For Go there is no such possible outcome, and deep reading (calculation) will always be in the machine's favor. The architecture of AlphaGo (policy and evaluation networks plus MCTS) is sufficient to recreate and surpass any kind of human-practical strategy. The era of human dominance in Go is simply over.
Of course, current AI programs will never be perfect either, so there may continue to be such adversarial attacks, but they will necessarily become harder to use (and quickly impossible for humans). AI go programs probably have nearly infinite possibility to continue marginally improving against each other, though.
- 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.