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The Stockfish NNUE is completely unrelated to AlphaZero.

It's a neural network rather than a bunch of hard-coded rules. That turns out to make a big difference.

Actually, there's this interesting snippet from the release page:

> These techniques have been applied to hundreds of billions of training positions, all of which have been consistently rescored using a strong Leela net.

So Stockfish's neural network evaluator is actually trained using Leela Zero.

"Completely unrelated" is not quite true. Stockfish current NNUE models are trained on LC0 training data. LC0 is pretty much an open-source community replication of the ideas from AlphaZero.

I stand corrected. However, fundamentally, the idea of "tiny CPU-only neural network" combined with traditional alpha-beta search is substantially different from "big GPU network" combined with Monte Carlo Tree Search. And historically the NNUE came from a 2018 idea for shogi engines rather than from AlphaZero.

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