Source? My recollection at the time was quite the opposite; that pros consistently found AI were weak in large sections of the end game. The lookup tables required to do what stockfish does for chess are absurdly large, iirc.
Ahhh; I was not reading carefully enough. You are right.
I was, for whatever silly reason, reading “current AI boom” as “current AI methods”; AlphaGo was a neural network model, very close to what we do for LLMs, genAI, etc. My impression was that before NN’s, we had a good lead over computers.
Source? My recollection at the time was quite the opposite; that pros consistently found AI were weak in large sections of the end game. The lookup tables required to do what stockfish does for chess are absurdly large, iirc.
Alpha go won 4 to 1 in 2016. Might have passed you by or it seems closer in time but ten years was spot on.
Ahhh; I was not reading carefully enough. You are right.
I was, for whatever silly reason, reading “current AI boom” as “current AI methods”; AlphaGo was a neural network model, very close to what we do for LLMs, genAI, etc. My impression was that before NN’s, we had a good lead over computers.