On a summer day two weeks ago, we were sitting in a cavernous room within the Mojave Desert along with some 2,000 other people, none of whom we had ever met before. In a secure place somewhere on the premises sat greater than $8 million in cash that we, and other people like us in nearby rooms, had collectively paid for the privilege. For 13 hours that day, we sat. Every so often, one of us would get up and leave, never to return. The last surviving one of us would develop into an instant millionaire.
We were playing poker. And unbeknownst to me on time, a pair of Intel processors on the other side of the country had recently undergone an identical ordeal. The World Series of Poker in LA, a couple of computer scientists, have introduced that they’ve created an artificial intelligence poker player that’s stronger than a full table of top human professionals at the most popular form of the game no-limit Texas Hold ’em.
Noam Brown, a research scientist at Facebook AI Research, and Tuomas Sandholm, a computer scientist at Carnegie Mellon, describe their results in a brand new paper titled “Superhuman AI for multiplayer poker,” revealed today within the journal Science.
“No other popular game captures the challenges of hidden data as effectively and as elegantly as poker,” Brown wrote.
For the past nine months, we were working on a book in regards to the collision of games and AI — and we are still engaged on it, sadly not having become an instant millionaire on the World Series of Poker. As people have ceded dominance at the game after game, we have come to see superhuman games AI as both augury and an object lesson: It gives a glimpse into a possible future of superintelligent systems, and it teaches us how we people would and could respond.