▲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.
reply▲yeah the 3d view is amazing
reply▲Really cool, I’m curious what would be the comparison versus a deterministic bot that uses probability tables.
reply▲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.
reply▲Wdym exactly? I ran 163 games, are you suggesting more games or something else?
reply▲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?
reply▲There are a few reasons that come to mind, such as winning larger pots on average, and also playing more hands by virtue of not getting knocked out as frequently.
reply▲Fun, any idea how much would be the cost per game? I am worried 160 isnt a big enough sample size.
reply▲It greatly depends on the models. The 6-handed setup with Opus and Pro cost about $30/game. The 4-handed setup with just small models was $6/game. I'd love to run more but I already spent quite a bit as it is.
reply▲Yeah thats costly, 160 games still gives about 1000+ total decisions and you can see some trends on how they think about the game state.
reply▲Oh to be clear, there are ~21k hands here, and far more decisions than that.
reply▲thorawaytrav20 hours ago
[-] Do you have idea why smaller models are better then large ones?
reply▲I've seen some theories tossed around but I don't think I'm qualified to offer an authoritative answer. Gemini 3 Pro specifically seems to be consistently "tighter" and more passive than Flash.
reply▲Very very fun. Just glancing at this quickly at lunch but is there any idea of incorporating tool use?
reply▲Not at the moment, do you have something in mind?
reply▲What about the open source models? I remember from the trading benchmarks Deepseek performed pretty well.
reply▲I didn't incorporate any open weights/source models just to limit the number of API providers I had to juggle, but it is just a config change if somebody wants to try a run with them.
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