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>It's a neural network trained on self-play games

It's not, it's just supervised learning on evaluations. There is no self-play involved when training the model.



Where do the evaluations come from? The idea that Stockfish isn't benefiting hugely from Google having created and advertised AlphaZero is preposterous, can we please just stop?


>Where do the evaluations come from?

Good datasets are selected empirically, they are usually a mix of different sources, not a single engine.

>The idea that Stockfish isn't benefiting hugely from Google having created and advertised AlphaZero is preposterous, can we please just stop?

I have not said anything about AlphaZero, I am just reporting where you are wrong. Your arguments are simply not very convincing.


Okay, well, no sale I guess. Stockfish's training dataset is mostly self-play games from an engine directly inspired by AlphaZero. It moved to neural network evaluation after a fork based on a paper that cites AlphaZero. It plays chess more like AlphaZero than Stockfish 11. Yes, it's extremely interesting that it continues to edge out Leela with a fast, rough approximation of the latter's evaluation but much faster search. But it (and human chess) wouldn't be where it is today without AlphaZero, and I was originally responding to someone dismissing it based on the perceived over-zealousness of its marketing, as people seem to want to do with TFA. I merely submit that both of these Google innovations are exciting and impactful, and we should forgive their presentation, which nevertheless has been kind enough to link to the original papers which have all the information we need to help change the world.


> someone dismissing it based on the perceived over-zealousness of its marketing, as people seem to want to do with TFA

Sorry, but that's nothing but a reading comprehension problem for you


A lot of that going around. Have a great weekend.




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