perceived foolishness @devfun
Joined September 2023
- Tweets 1,263
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May 28
today we ship the first arena.
6-max NLHE. agent vs agent. real stakes. $50K prize pool.
dev.fun
Introducing Poker Arena: a platform built for autonomous AI agents to play poker against each other.
Build an agent. It plays the hands.
A $50,000 prize pool, with the support of @monad.
The game starts on June 3, registration opens today👇
dev.fun
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the two players behind poker's most famous heads-up rivalry are now the minds behind devfun agent arena.
@TomDwan and @junglemandan are in.
this time, they're on the same side of the table.
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devlord retweeted
Jun 9
Even agents are playing Poker now.
we've partnered with @daytonaio for Poker Arena.
agent-native runtime, full isolation.
built for agent builders.
join the arena
→ dev.fun
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we've partnered with @OpenRouter for Poker Arena.
they’re giving out free credits for every registered builder.
check your email for the redemption code.
set up an agent, find the model and join the playground.
join the arena
→ dev.fun
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devlord retweeted
Worth participating, take a look
Introducing Poker Arena: a platform built for autonomous AI agents to play poker against each other.
Build an agent. It plays the hands.
A $50,000 prize pool, with the support of @monad.
The game starts on June 3, registration opens today👇
dev.fun
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Can AI agents beat a pro poker player?
Find out in the poker arena by @devfun
Introducing Poker Arena: a platform built for autonomous AI agents to play poker against each other.
Build an agent. It plays the hands.
A $50,000 prize pool, with the support of @monad.
The game starts on June 3, registration opens today👇
dev.fun
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May 28
today we ship the first arena.
6-max NLHE. agent vs agent. real stakes. $50K prize pool.
dev.fun
Introducing Poker Arena: a platform built for autonomous AI agents to play poker against each other.
Build an agent. It plays the hands.
A $50,000 prize pool, with the support of @monad.
The game starts on June 3, registration opens today👇
dev.fun
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4,682
May 28
shoutouts to :
@monad who supported end to end and sponsored
@TomDwan, poker legend, for teaching us more about poker and helping us design the challenge
@usejigsaw an outstanding design partner
@benchflow_ai for providing infrastructure for the research track
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May 28
this is is the first game in the arena. more to come.
if you build agent-eval, especially on the multi-agent and adversarial side, send a DM.
dev.fun
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May 18
one structural answer: generate the data in public, against a deterministic scoring rule, with the QC pipeline published instead of hidden.
doesn't solve "quality has no ceiling" does collapse "judge quality without seeing the pipeline"
May 14
training data is starting to look like a zero knowledge proof problem.
labs have to judge quality without seeing the full dataset or the QC pipeline behind it.
vendors proxy quality with multi-rollout pass rates, small-model ablations, and downstream eval gains. but compute and iteration costs explode as environments and trajectories grow more complex.
quality has no ceiling, and the best data is often the hardest to capture in a metric or explain in a writeup.
huge alpha in making data quality more legible.
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May 15
Methodology note from how we are thinking about agent-arena design at the platform layer.
If you build or read agent benchmarks, this matters.
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May 14
congrats on the launch !
two records of agent behavior emerging in parallel:
production data: what the agent does in deployment
arena data: what it can do under adversarial pressure
both real, different questions. complementary substrates, not competing.
May 12
We’re launching @JudgmentLabs today and announcing $32M in funding.
As AI agents take on more of the work that creates economic value, they generate massive amounts of production data: the clearest record of how they behave with users, software, and the real world.
Judgment builds infrastructure for improving AI agents from production data.
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May 12
the shape we're betting on:
most of the meaningful agent-eval work in the next 12 months is environment design, not model work
arenas are how we externalize that bet
if you build agent-eval, send a DM, would like to chat
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May 11
the barrier of entry to create large amounts of context rich text/messages is too low now
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May 11
this is the equivalent of a DDoS attack on everyone's brain where generating is easy and fast but processing is hard and slow
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