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Flush royal in poker player hand. Lucky winner.

AI Smash Hits #2 To Win AI-Run Poker Humans Must Find Blind Spots

Each pro separately played 5,000 hands of poker against five copies of Pluribus and Pluribus won. Now this, in itself, was an astonishing result.

Our Walter Bradley Center director Robert J. Marks is back with the second instalment of 2020 smash hits in AI. Readers may recall that we offered a fun series during the holidays about the oopses and ums and ers in the discipline (typically hyped by uncritical sources). This time, Dr. Marks talks with Eric Holloway about AI programs that can beat humans at poker. https://episodes.castos.com/mindmatters/Mind-Matters-117-Eric-Holloway-Jonathan-Bartlett.mp3 Our story begins at 16:36. Here’s a partial transcript. (Show Notes and Additional Resources follow, along with a link to the complete transcript.) Robert J. Marks: Carnegie Mellon and Facebook AI beats professionals in six player poker. This result astonished me. I have always heard poker players say that poker is not a game of…

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Abstract broken glass into pieces. Wall of glass shatters into small pieces. Place for your banner, advertisement. Explosion caused the destruction of glass. 3d illustration

AI Smash Hits 2020 Part II

An ultimate test of a successful technology is whether it has been reduced to practice. Has it made a financial impact on the market? Has it been adopted by the very picky US military? Has it changed lives? We’re going to count down the AI Smash Hits: the top ten AI success stories for 2020. Join Dr. Robert J. Marks as he…

flush-royal-in-poker-player-hand-lucky-winner-stockpack-adobe-stock.jpg
Flush royal in poker player hand. Lucky winner.

Does AI Really “Get” Poker? Why That Matters.

Science journalist Maria Konnikova, also a professional poker player, explores the human side of poker and efforts to automate it

Maria Konnikova (left), a science journalist who quit a good gig to become a poker player, learned a a good deal about the human side of the game and about AI programmers’ efforts at automating it. Along the way, she won money and wrote a book, The Biggest Bluff: How I Learned to Pay Attention, Master Myself, and Win (June 2020). In an excerpt at Wired, she reflects on the fact that computer pioneer John von Neumann (1903–1957) was a poker player and “Not just a poker player, but someone for whom poker inspired brilliant insights into human decisionmaking, someone who considered it the ultimate game for approximating the strategic challenges of life.” Poker is a game of skill but…

Poker Esteban Lopez liEV4NUf2qU Unsplash

Can the AI Poker Champ Improve Real-World Decisions?

That’s the claim aired at Nature for Pluribus, the new Texas hold ‘em champ. Bradley Center fellows are skeptical

“The trouble is," says Brendan Dixon, "any technique that works by searching ‘to the end of the game’ will not help self-driving cars (as an example) one bit…unless they have also mastered predicting the future. There is no ‘end of the game’ for nearly all decisions we make.”

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