[4by4by4]

In my opinion, neural network engines like Alpha Zero or Leela Zero do a much better job of assessing how difficult a position is to hold. They also report the evaluation in a completely different manner, win/draw/loss probability as opposed to centipawn loss.

For example, in yesterday’s game Stockfish was often giving a drawn evaluation (0.00) where Leela Chess gave a win probability of 30%+. I was posting about this during the game.

https://twitter.com/nik_king_/status/1466794534214504454?s=2...

[LudwigNagasena]

Stockfish also uses a neural network for evaluation.

[4by4by4]

True, it’s works differently though. And Stockfish does not compute win/draw/loss probabilities as part of its eval. It converts cp to wdl using an exponential fit based stockfish vs stockfish games. So draw percentage in Leela is a lot more interesting and useful.

[ummonk]

Yes, but at its heart it's still classical alpha-beta search rather than monte carlo.