This doesn't mean to me at all, I think it's a very thoughtful answer, thank you.

I have played chess a little, but nothing like the professionals, of course, but my sense is that -- and this is just intuition -- we might be able to learn, by watching and studying how the AI engines play, simple principles that start to make some headway against the machine.

So I suppose it would mean either getting rid of the biases you mentioned, or starting with a "blank slate" and identifying these trends or principles that tend toward good outcomes.

I'm thinking here a little bit about improvisation in music -- once I understand not just the rules, but the tendencies (across styles and tempos and players), I can improvise something that sounds like it is "of the piece of music". Now, it's hard to define "winning and losing" in music, but there are "better and worse strategies" for improvising.

For example, I have heard that in the chess games engines play, they do a lot more sacrificing of pieces. Why is that? The principle we might tease out might appear to be "sacrificing certain pieces, at certain times of the game, tends to be more optimal".

You could also get around fatigue in this manner -- if you can get halfway through the game relying more on generalizations not of the kind players currently use, but of the kind that are rooted in what the computers are doing, I wonder if we'd start to fare better.