A REMIX, AN UPDATE, AN HOMAGE, AN OBSERVATION UPON THE ORIGINAL CEZANNE WORKS.......REFLECTING THE MODERN WORLD FACE TO FACE WITH ARTIFICIAL INTELLIGENCE.
'Texas Hold 'em was a significant "final frontier" for AI, but it was not the ultimate one. AI's success at poker, achieved in different versions of the game from 2017 to 2019, proved that machines could master complex, multiplayer games involving hidden information and deception. This was a major leap from conquering "perfect information" games like chess and Go, and it opened the door for tackling even more intricate real-world problems. Why Texas Hold 'em was a key milestone Imperfect information: Unlike chess or Go, where the entire board state is visible, poker requires a player to make decisions based on hidden information (opponent's cards). An AI needs to reason about what it can't see, which was a far more complex challenge. Multiplayer strategy: The multiplayer version of poker is a much more difficult problem than the two-player version. An AI has to adjust its strategy based on the behavior of many opponents, not just one, and navigate the complex game theory of multiple agents. Bluffing and deception: AI systems needed to learn how to bluff effectively and detect when a human was bluffing. This required a level of strategic reasoning that went beyond pure calculation. Key AI breakthroughs in poker Libratus (2017): Developed by Carnegie Mellon University, this AI defeated four top pros in a 20-day competition of two-player (heads-up) no-limit Texas Hold 'em. DeepStack (2017): A separate team at the University of Alberta also created a heads-up no-limit AI that beat human professionals. DeepStack's approach continuously re-evaluated its strategy as new information became available. Pluribus (2019): A collaboration between Carnegie Mellon and Facebook AI produced Pluribus, the first AI to defeat top professionals in the most popular form of poker: six-player no-limit Texas Hold 'em. This was a decisive step in conquering multiplayer games.' - PULLED FROM GOOGLE.
