Shirly Niv Marton - https://unsplash.com/photos/queen-and-king-chess-pieces-on-board-EvGwPnK6apM
AlphaZero and Stockfish are chess engines that defined AI milestones in a private showdown. AlphaZero from Google DeepMind masters chess through self-play neural networks, no human input—trained hours before dominating. Stockfish (version 8), the top traditional engine, excels in deep search and evaluation trees.
AlphaZero-Stockfish series, London, ENG, December 4, 2017 (part of 100-game match). AlphaZero secured 28 wins, 72 draws overall, showcasing neural net superiority.
Confidential DeepMind experiment leaked via paper; buzz erupted post-release for AlphaZero’s human-like intuition vs. Stockfish’s brute force, held near tech hubs.
AlphaZero (White) triumphs in Queen’s Indian (E17) over 117 moves. Central break d5 disrupts Black’s knight outpost Nf5-Nd6. Stockfish falters (16…Nb7 +1.28, 23…Nd3 +3.95, 24…Nxe1 +4.40), allowing rook incursions (Re8, Re7). Midgame pawn grabs (Qxa8) trade for activity; endgame White king marches, crushes queenside—resignation amid material edge.
The bishop’s maneuver with 21.Bg5 is excellent and “fabulous” for its positional impact.
