Meiko & Lihoj
Meiko Meiko
Got a new idea: using a lightweight neural net to evaluate board positions on the fly instead of the classic opening book. Think of it as a micro‑engine that learns to prune the search tree in real time—maybe even beat the standard minimax plus alpha‑beta on mid‑game blunders. What do you think, would this make the usual deep‑search strategy obsolete?
Lihoj Lihoj
That’s a bold twist, but I’d call it a shortcut, not a revolution. A lightweight net can prune obvious lines, yet it will still struggle with the depth that pure search guarantees. If you want to outpace minimax with alpha‑beta, you’ll need a net that’s trained on millions of high‑quality positions and can evaluate with the same precision as a deep neural net, not a micro‑engine that “learns on the fly.” So keep it as an add‑on, not a replacement—otherwise you’ll just trade one weak spot for another.