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The AI That Has Nothing to Learn From Humans - The Atlantic
From all accounts, one gets the sense that an alien civilization has dropped a cryptic guidebook in our midst: a manual that’s brilliant—or at least, the parts of it we can understand.

You can see Go as a massive tree made of thousands of branches representing possible moves and countermoves. Over generations, Go players have identified certain clusters of branches that seem to work really well. And now that AlphaGo’s come along, it’s finding even better options. Still, huge swaths of the tree might yet be unexplored. As Lockhart put it, “It could be possible that a perfect God plays [AlphaGo] and crushes it. Or maybe not. Maybe it’s already there. We don't know.”

“Generally the way humans learn Go is that we have a story,” he points out. “That’s the way we communicate. It’s a very human thing.”

After all, people can identify and discuss shapes and patterns. Or we can argue with each other about the reasons a killer move won the game. Take a basic example: When teaching beginners, a Go instructor might point out an odd-looking formation of stones resembling a lion’s mouth or a tortoiseshell (among other patterns) and discuss how best to play in these situations. In theory, AlphaGo could have something akin to that knowledge: A portion of its neural network might hypothetically be “sounding an alarm,” so to speak, whenever that lion’s-mouth pattern appears on the board. But even if that were the case, AlphaGo isn’t equipped to turn this sort of knowledge into any kind of a shareable story. So far, that task is one that still falls to people.
ai  human  comparison  game  go  2017 
october 2017 by aries1988

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