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It has yet to be seen if this can truly be generalized and if such an analogy holds.

Go is a game constrained by an extremely narrow set of rules. Brute forcing potential solutions and arriving at something novel within such a constrained ruleset is an entirely different scenario than writing or film-making which occur in an almost incomprehensibly larger potential "solution" space.

Perhaps the same thing will eventually happen, but I don't think the success of AI in games like Go is particularly instructive for predicting what can happen in other fields.



Kind of tangential, but I don’t think you can brute force go. We’d run out of energy before it finished.

Statistical models shortcut that search space.

But I agree that just because a screwdriver is good at screws doesn’t mean its good at hammering a nail, even though both tools are made of metal.


Ahh good point. I was thinking about “machine plays itself repeatedly until it gets good” aspect of AlphaGo Zero and my brain jumped to brute forcing, but agree that’s a misnomer.




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