“Instead of making computer chess stronger and trashing humans, we can focus on chess as an art in the form of a game,” says Eli David, a researcher at Bar-Ilan University in Israel who has built machine-learning-powered chess engines of his own. “The discoveries would feel fresh-it could be very exciting and benefit a different type of player,” says Shahade, who is also women’s program director at the US Chess Federation.ĭeepMind and Kramnik’s project might also encourage computer chess to get more creative, now that machines are unbeatable. Like Kramnik, Shahade saw things to like in several variants AlphaZero tested, even if changes like allowing pawns to move sideways felt “mind-bending.” If any gain traction, some players will still want to lean on computers and deep research to get ahead, but resetting the cycle could be fascinating to watch. Later this week, Shahade will provide commentary for a Chess960 tournament including world number one Magnus Carlsen and Kasparov, the former champ. Interest in Chess960 has grown too, suggesting an appetite for new types of play, including from some superstars. Now could be an opportune moment.Ĭhess has been gaining popularity for years but experienced a pandemic boost as many people sought new intellectual stimulation, says Jennifer Shahade, a two-time women's US chess champion. ![]() “It is our gift to the world of chess,” he says. Kramnik hopes AlphaZero’s adventures in alien forms of chess will convince players of all levels to try them. “All in all it just makes the game more beautiful,” he says. The rule effectively gives a player more opportunities to sacrifice a piece to get ahead, Kramnik says, a tactic considered a hallmark of elegant play for centuries. A more extreme change, self-capture chess, in which a player can take their own pieces, proved even more alluring. No-castling chess provoked rich new patterns for keeping the king safe, he says. Kramnik saw flashes of beauty in how AlphaZero adapted to the new rules. A technical paper released Wednesday includes more than 70 pages of commentary by Kramnik on AlphaZero’s explorations. “This is not about numbers, but whether it is qualitatively, aesthetically pleasing for humans to sit down and play,” says Tomašev. Five of the variants altered the movement of pawns, including torpedo chess, in which pawns can move up to two squares at a time throughout the game, instead of only on their first move.ĭeepMind’s researchers were ultimately more interested in the analysis of the other great chess brain on the project, Kramnik. ![]() It eliminates a move called castling that allows a player to tuck their king behind a protective screen of other pieces-powerful fortification that can also be stifling. The nine alternative visions of chess that AlphaZero tested included no-castling chess, which Kramnik and others had already been thinking about, and had its first dedicated tournament in January. English grandmaster Matthew Sadler described poring over AlphaZero’s games as like “discovering the secret notebooks of some great player from the past.” ![]() ![]() In the process it rediscovers ideas seen in centuries of human chess and adds flair of its own. Over hours of high-speed play against successively more powerful incarnations of itself, it becomes more skilled, and to some eyes more natural, than prior chess engines. In chess, AlphaZero initially doesn’t know it can take an opponent’s pieces. “But seeing it evolve from a void of nothingness is exciting and almost pure.” “When it starts playing it’s so bad I want to hide under my table,” says Ulrich Paquet, another DeepMind researcher on the project. It starts learning a game equipped with only the rules, a way to keep score, and a preprogrammed urge to experiment and win. Vladimir Kramnik, former world chess championĪlphaZero is a more flexible and powerful successor to AlphaGo, which laid down a marker in AI history when it defeated a champion at Go in 2016.
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