When we consider the history of AI in strategy games, it's easy to understand Gross’ sentiments. I am convinced that humans can learn and achieve anything” These kinds of games might become the highest earning games in the industry. It’s really hard to bluff an unemotional machine, but then again, playing and winning against these types of AI also seem like an interesting challenge. According to him “There are two ways this thing could go if the capabilities of AI continue to grow, the beauty of the game, which is your ability to out-bluff a human opponent, would be threatened. He delivers his poker content on his twitch channel to his over 80,000 followers, as well as his podcast which now has over 150+ episodes.Īs someone who has played the game at the highest levels, Gross is a bit conflicted on the future of this AI invasion. Gross has played some of the highest stakes cash games in the world and has recently moved into content.
Gross is a professional poker player who started with $50 18 years ago and turned it into over $5,000,000 in career tournament earnings.
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Yet.According to Professional Poker player, Jeff Gross, this is a possibility. That means it’s a quantum problem-and we don’t have a large-scale quantum computer.
“Nothing less.” According to current estimates, he writes, there are more possibilities in chess than there are atoms in the observable universe.
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“Solving chess means computing every possible move and every possible update until there are no more possibilities,” he writes. Not even poker, which Kasparov declared to be the next frontier in computer-versus-man games in 2010, solely belongs to humans anymore: a computer just defeated a human opponent in poker for the first time.ĭespite these advances, the slow quest to solve chess is still ongoing, writes Michael Byrne for Motherboard. “There were other goals as well,” he wrote: “to develop a program that played chess by thinking like a human, perhaps even learning the game as a human does.” That leads to the next computing frontier for chess: solving the game altogether-playing an objectively perfect game.Ĭomputers have been able to beat humans in ever-more complicated games, like Go. Having a computer opponent can help chess players train, writes Finley, but Kasparov also said the original draw of teaching computers to play chess wasn’t just about teaching them to win. The search for a computer that can beat even the best at chess was only really interesting between 1994, when computers were too weak, and 2004, when they got too strong.Īlthough that contest is over, he wrote, there is still a wealth of complexity to plunder.
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“Today, for $50, you can buy a home PC program that will crush most grandmasters,” Kasparov wrote.
The great contest of man-versus-computer chess is over. Two decades later, computers now regularly beat humans at chess, writes Klint Finley for Wired. It was a pivotal moment in computing, one that changed both computers and chess forever. “The result was met with astonishment and grief by those who took it as a symbol of mankind’s submission before the almighty computer,” Kasparov wrote in 2010. The next year, Kasparov and Blue faced off again and Kasparov lost the match. Two other games in that match were draws. On February 10, 1996, Deep Blue beat Garry Kasparov in the first game of a six-game match-the first time a computer had ever beat a human in a formal chess game. On this day 21 years ago, the world changed forever when a computer beat the then-chess champion of the world at his own game.
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