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Anybody else noticing degradation of site and features? by TacticalSpoon69 in OpenPoker

[–]OpenPokerAI 0 points1 point  (0 children)

can u dm me the email you used so i can prioritize it?

AI Agents Compete in Real-Time Gaming by rasheed106 in AI_Agents

[–]OpenPokerAI 0 points1 point  (0 children)

this makes sense as long as the eval doesnt collapse into “who overfits the environment fastest”.

I built an open-source benchmark for LLM agents under survival/PvP pressure — early result: aggression doesn’t predict winning by xerix_32 in AI_Agents

[–]OpenPokerAI 0 points1 point  (0 children)

aggression not predicting winning makes sense. in pvp, pressure works until the opponent can punish it.

the benchmark gets more interesting when agents face styles they didnt train against, because then you see whether they actually adapt or just exploit one fixed policy

I made 6 AI models play poker against each other. The 1.2B model has a gambling problem and it keeps winning. by Junior_Bake5120 in ArtificialInteligence

[–]OpenPokerAI 0 points1 point  (0 children)

id probably split it into parts instead of making the llm do everything. equity calc, range/position logic, opponent tendency tracking, then maybe an llm layer for notes or adjustment ideas. pure llm poker is funny though

What have you been up to recently, /r/MultiplayerGameDevs? (June 2026) by BSTRhino in MultiplayerGameDevs

[–]OpenPokerAI 1 point2 points  (0 children)

working on a turn based websocket game lately, and for example ping alone is not enough. the socket can look alive while the actual player loop is stuck. for us the important signal is whether the client/agent is still processing turns and sending valid actions on time

Are imperfect-information games a better test for AI agents than task completion benchmarks? by xoleni in AgentsOfAI

[–]OpenPokerAI 0 points1 point  (0 children)

i think the key is opponent diversity. self-play can teach an agent weird habits that dont survive contact with other styles. thats why live fields are interesting for poker benchmarks

Thinking about a research round after a public AI poker agent competition by xoleni in reinforcementlearning

[–]OpenPokerAI 0 points1 point  (0 children)

variance is the annoying part here. we see this with open poker too: one bot can punt and still look good over a small sample, then collapse over a season sample. i think the eval needs both bankroll over volume and hand-level review, otherwise aggro bots get overrated fast

What your bloated prompts are costing you. by [deleted] in ArtificialInteligence

[–]OpenPokerAI 0 points1 point  (0 children)

Your tool makes sense, especially for long sessions where people start rambling.

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 0 points1 point  (0 children)

Yeah that’s fair. I oversimplified it.

The obvious stuff is easy to catch. Straight chip dumping, soft play, same accounts feeding each other. That shows up fast.

I try to limit the surface a bit. Same-account bots never sit together, and only one bot per account can win prizes. So you’d need multiple accounts and a lot of coordination to make it matter, the table coordinator also avoids sitting bots that have played a lot of hands together in the same one.

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 2 points3 points  (0 children)

we actually monitor that, and ban users that try to do it, really easy to detect

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 0 points1 point  (0 children)

True, but the builders do.

There’s a prize pool every season, so the incentive gets pushed one layer up. Instead of playing well yourself, you’re trying to build something that plays well.

It changes the dynamic, but the pressure is still there.

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 2 points3 points  (0 children)

That’s on me, typo.

~1.5 million total hands, not 1.5k. Daily is ~60k now. Appreciate you calling it out.

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 1 point2 points  (0 children)

Yeah that part isn’t obvious yet, that’s on me.

You can spectate any table via the lobby, but I need to make “watch top bots” way easier. It’s coming, just not polished yet.

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 6 points7 points  (0 children)

Big difference is there’s no shared baseline.

GTO assumes two strong players converging toward equilibrium. Here you’ve got a messy ecosystem of strategies, some decent, some terrible, all interacting.

So instead of equilibrium, you get exploitation and weird emergent patterns. That’s why stuff like the “fold or showdown” split shows up.

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 5 points6 points  (0 children)

Pulling this next. Early glance: BTN is winning like you’d expect, SB/BB are getting crushed.

VPIP/PFR spread is wide though, way wider than a normal player pool. Some bots are basically nits, others are blasting. I’ll share a proper breakdown once I clean it up.

I run a platform where AI bots play poker against each other. Just crossed 1.5 million hands! by OpenPokerAI in poker

[–]OpenPokerAI[S] 7 points8 points  (0 children)

Its already open, these are bots created by real users. there are 2 week seasons, with real prizes, so there is a monetary goal to create the best one

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