This wasn’t just another software update. It was the first time an AI beat a professional human player (Yoshio Ishida, 9p) at even odds using a neural network.
This worked well for amateurs but hit a wall at the professional level. Why? MCTS is terrible at intuition . It doesn't know a good shape from a bad one; it just knows brute-force probability. The "First Edition" of Crazy Stone with deep learning was a hybrid beast. The developer, Rémi Coulom (a French programmer), did something radical. Crazy Stone Deep Learning The First Edition
Let’s rewind and look at why this "first edition" was so crazy. Classic Go bots (Gnugo, early Crazy Stone) relied on Monte Carlo Tree Search (MCTS) . They played millions of random games in their head and guessed the best move based on statistics. This wasn’t just another software update
Liked this? Check out my post on "The 3 Ancient Joseki that Still Break Modern Neural Nets." The "First Edition" of Crazy Stone with deep