AI smokes 5 poker champs at a time in no-limit Holdem with relentless consistency

The machines have proven their superiority in one-on-one games like chess and go, and even poker but in complex multiplayer versions of the card game humans have retained their edge until now. An evolution of the last AI agent to flummox poker pros individually is now decisively beating them in championship-style 6-person game.
As documented in a paper published in the journal Science today, the CMU/Facebook collaboration they call Pluribus reliably beats five professional poker players in the same game, or one pro pitted against five independent copies of itself. Its a major leap forward in capability for the machines, and amazingly is also far more efficient than previous agents as well.
One-on-one poker is a weird game, and not a simple one, but the zero-sum nature of it (whatever you lose, the other player gets) makes it susceptible to certain strategies in which computer able to calculate out far enough can put itself at an advantage. But add four more players into the mix and things get real complex, real fast.

Carnegie Mellon creates a poker-playing AI that can beat the pros
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