AI is better at bluffing than professional gamblers
Arguably one of the most human elements in poker is the bluff. Researchers are now training AI to effectively bluff while gambling. Libratus might even be better than professional players. Via Engadget:
AI has proved itself quite literally capable of beating humans at their own games, but does that hold true when the chips are down and real money is on the line? As the Libratus system from Carnegie Mellon University showed in 2017, the answer remains a resounding yes.
It wasn’t as much a poker tournament as a three-week curb stomping. Professional poker players Jason Les, Dong Kyu Kim, Daniel McAulay and Jimmy Chou spent 20 days playing 120,000 hands of heads-up, no-limit Texas Hold’em against the AI but wound up losing by a margin of more than $1.76 million in the end.
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, or even use Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for MakeCode, CircuitPython, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.