Pluribus achieves this result through several innovations on Libratus, the AI that beat human pros in two-player no-limit Hold’em in 2017, as well as other algorithms and code developed in Tuomas Sandholm’s Carnegie Mellon University research lab. In particular, Pluribus incorporates a new online search algorithm that can efficiently evaluate its options by searching just a few moves ahead rather than only to the end of the game. Pluribus also uses new, faster self-play algorithms for games with hidden information. Combined, these advances made it possible to train Pluribus using very little processing power and memory — the equivalent of less than $150 worth of cloud computing resources. This efficiency stands in stark contrast to other recent AI milestone projects, which required the equivalent of millions of dollars’ worth of computing resources to train.
“The (re)emergence of superhuman poker bots in the online ecosystem now appears to be a matter of when, not if,” analyst Ed Young wrote in a note.
According to https://www.pokerscout.com/, as of December 2020 there are over 10 real money poker sites that have had >1000 cash players online during the last 24 hours.
Will online poker die by 2030?
This question resolves negatively if at resolution time, there are at least two real money poker sites intended for humans with over 1000 cash players online at some point in the previous month, where one can play Texas Holdem with blinds of at least $10. Note that the 1000 players can be at any stakes.
This question resolves positively if there are fewer than two such sites.
If there are no sources tracking the number of online cash players simultaneously, then this resolves negatively if there are at least two such sites with a table at $10 stakes or above, and one can be seated at such a table within a minute of requesting.
The rules of Texas Holdem that are playable must be the same as the standard rules in 2020.