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this post was submitted on 07 Jul 2024
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TechTakes
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
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more generally I suspect that as soon as you are trying to compare some notion of a 'true' position eval function to eval functions you can actually generate you're going to have a very difficult time making correct and clear predictions. the reason I say this is that treating such a 'true' function is essentially the domain of combinatorial game theory (not the same as "game theory"), and there are few if any bridges people have managed to build between cgt and practical Go etc playing engines. so it's probably pretty hard to do
(I know there's a theory of 'temperature' of combinatorial games that I think was developed for purposes of analyzing Go, but I don't think it has any known relationship to reinforcement learning based Go engines)