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 Originally Posted by WillburForce
humans can always beat robots/AI in the long run (talking poker wise/chess wise etc). They maybe ba able to do a gazzilion computations in like seconds, but end of the day, the human factor can just throw some mad curve balls that would baffle the shizzle out of a program.
It certainly seems this way, but according to game theory, it's not. Poker is solvable. What I'm referring to is the Nash Equilibrium. Basically, in finite games it is possible to devise a strategy that is unexploitable. A good example is in rock, paper, scissors, and what I believe is called 'game theory optimal'. Basically, the GTO strategy in rock, paper, scissors is doing each option exactly 1/3rd of the time. Anybody who does this cannot be beaten. That's GTO and it's possible for poker.
In fact, I think that according to game theory, GTO is possible for everything since everything is a finite game (except life, whatever that means). But according to game theory, something like getting a degree is a finite game, and thus it is solvable and somebody could play that game in an unexploitable fashion. Now, this is way beyond our comprehension and we'll never get close to understanding it, but I'm pretty sure that's what the theory implicates.
Eventually, computers will be powerful enough to solve poker in short order. The problem is not in a computer spending a lot of time figuring out a game because all we would need to do is change how the game is played, but the problem is in a computer being so powerful it is able to figure out a game faster and more completely than humans. I don't think we're going to see this under our current computer paradigm. It will probably take at least 3D computer chips, but it could take even more than that.
Either way, if you wanna make money from poker, be sure to do that sooner than later. It's not going to be solved for several years (I say at least a decade), but the scary thing about the exponential function is that nobody sees it coming. It could look like we have all this time before AI beats us, but in just one more doubling time we could be made utterly obsolete.
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