Unlike go, chess and other games AI play, you don't see your opponent's hand in poker. Plus, it has complex betting and bluffing techniques that present a completely different challenge. Libratus comes up with strategies by doing computations with the rules of the game in mind -- its creators at Carnegie Mellon University didn't feed it copious amounts of samples to learn from, which is one way to teach AIs new skills.

Libratus co-developer Noam Brown said that after playing and winning games against pros, its clear that people misunderstand what computers and humans are each good at:

"People think that bluffing is very human -- it turns out that's not true. A computer can learn from experience that if it has a weak hand and it bluffs, it can make more money."

He didn't say if they have more opponents lined up for the AI, but we have a feeling it's going to do just fine.