Researchers from Canada and the Czech Republic have pissed on the Carnegie Mellon University Libratus parade by claiming that their AI, known as Deepstack, has already beaten human poker players in No-Limit Hold’em.

The battle between the Carnegie Mellon University (CMU) Artificial Intelligence Libratus and four heads-up No-Limit Hold’em poker players has just developed a nasty case of blue balls after a group of researchers from Canada and the Czech Republic came forward to say it was nothing but yesterday’s news.

The brightest sparks from the University of Alberta, Edmonton, and a couple of Universities in Prague in the Czech Republic have joined forces to create DeepStack: Expert Level Artificial Intelligence in No-Limit Poker and they are claiming that it’s the first algorithm to beat humans in NLHE competition.

A non-peer review paper (found here https://arxiv.org/pdf/1701.01724v1.pdf) contends that Deepstack played 44,852 hands of poker, against 33 players, and came out on top, winning 492 mbb/g (Average winning rate over a number of games, measured in thousandths of big blinds). The researchers believe the pro poker player considers 50 mbb/g a ‘sizeable margin.’