Of course, you are right. But (the linked site) at least has a bot that plays the opening like a human of chosen rating perfectly. It stops working after the opening-stage (since it just copies moves from humans in the lichess game database), but it is still very impressive. For later game stages, some other method would have to be used (unless we play multiple orders of magnintude more games on lichess).

Now that i think about it, i remember the people in the alphago documentary talking about the bot giving its moves percentage scores in both how high winning % the move had and how high % chance that a human would have made the same move that it just played. I wonder why they never showed what a full game of the most human-like moves from alphago would look like. Maybe it actually worked, by feeding it all the pro games in existence, and training it to play the high human % instead of the higest win probability moves like they did in the end.

https://www.chessassess.com/openings

Yes, the Leela team has worked on a term they call Contempt. (Negative contempt in this case would make the engine seek out less sharp play from whites perspective) In the first link the authour talks about using contempt to seek out/avoid sharp lines. lc0 and nibbler are free, so feel free to try it out if curious.

https://github.com/LeelaChessZero/lc0/pull/1791#issuecomment... https://lczero.org/blog/2023/07/the-lc0-v0.30.0-wdl-rescale/...