Finally, a way to settle the model wars that actually matters: Texas Hold'em. That 3D replay view is sick! ♠♦
I spent way too long watching the replay on Game 2a58900d. It’s wild to see the chain of thought mapped against the betting rounds. It really exposes when a model is hallucinating a strong hand versus actually calculating pot odds. This 'PokerBench' might actually become the standard for measuring agentic risk-taking.
by tanvach
1 subcomments
People looking into this a little too much, looks to me like random walk. You should try reinitiating the trial (or have multiple running) and see if the ranking is robust.
by alalani1
1 subcomments
Do you have any idea why the win rate for GPT-5.2 is higher than Gemini 3 Flash yet the former loses money while the latter earns money? Is it just bet sizing (betting more when it has a good hand) or something else?
by alfonsodev
0 subcomment
Really cool, I’m curious what would be the comparison versus a deterministic bot that uses probability tables.
by Onavo
1 subcomments
What about the open source models? I remember from the trading benchmarks Deepseek performed pretty well.
by VK-pro
1 subcomments
Very very fun. Just glancing at this quickly at lunch but is there any idea of incorporating tool use?
by falloutx
1 subcomments
Fun, any idea how much would be the cost per game? I am worried 160 isnt a big enough sample size.
by thorawaytrav
1 subcomments
Do you have idea why smaller models are better then large ones?
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