I feel like you are still framing it wrong. Alphazero would not be a match for traditional top chess engines like Stockfish because otherwise why would they refuse to ever compete? LC0 incorporates both traditional chess evaluation techniques and neural network techniques, it's a hybrid.
Recently, as in July of 2020, Stockfish started to incorporate neural networks in it as well to help its evaluation function. However 1) it was already at the top in 2020 before it started to do this and 2) it is still predominantly a traditional chess engine that has been created by human intervention.
https://en.wikipedia.org/wiki/Top_Chess_Engine_Championship
https://en.wikipedia.org/wiki/Stockfish_(chess)
So if OP wants to talk about something, he should be talking about these engines. AlphaZero sucks compared to these, that is my point.
Please provide a source for these claims.
I've studied the mathematics behind NNs and chess engines. I have yet to find an argument that deep dbase tree searches are preferable to the multiple NN layered approach that AlphaZero uses. In fact, that's what made all the headlines a few years back, when the deep learning communities embraced stochastic processes. Can you provide some material that backs your claim that a "traditional chess engine" would be better?
I was asked to but declined as it would have interfered with my gym time, bacon buying, and keto lifestyle.
To be honest with you...Watching chess bores me. Oh i can do the occasionally look at games, but to just watch a game for hours? No thank you.
For the Carlsen/Kajakian match a friend invited a bunch of us to his office to watch the games. I told him to give my seat to someone else.