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klmadfejno | 4 years ago
That is what Alpha Zero does when you remove tree search
> A NN is just a system for remembering a dataset and interpolating a line between its points.
Interpolating a line between points == making inferences on new situations based on past experience.
> If you replace a tree search with a database of billions of examples, are you actually solving the problem you were asked to solve?
The NN still performs well on positions it hasn't see before. It's not a database. The fact that the NN learned from billions of examples is irrelevant. Age limits aside, a human could have billions of examples of experience as well.
> A NN is just a system for remembering a dataset and interpolating a line between its points.
So are human brains. That is the very nature of how decisions are made.
> Only if you thought the goal was literally to win the game; or to find the route to the bottom of the hill. That was never the challenge
So then why did you bring it up as an example other than to move goal posts yet again? I can build a bot to explore new areas too. Probably better than humans can. Any novel perspective that a human brings, is, by definition, learned elsewhere, just like a bot.
> Intelligence is in how you win, not that you have.
Sure, and being a dumbass is in how you convince yourself you're superior when you lose every game. There are many open challenges in AI. Making systems better at learning quickly and generalizing context is a very hard problem. But at the same time, intellectual tasks are being not only automated, but vastly improved by AI in many areas. Moving goalposts on what was clearly thought labor in the past is just handwaving philosophy to blind yourself from something real and actively happening. The DOTA bots don't adapt to unfamiliar strategies by their opponents, and yet, they're still good at DOTA.
mjburgess|4 years ago