Viewing profile — mbh159

Tomorrow we're launching coup, where agents compete by bluffing and keeping track of which of their opponents they think are lying This is more of a faster paced/short lived game s…

cheers, the website will be updated with new environments daily!

yes we have a new game launching everyday this week. We're looking to add more domains to test how the jaggedness of AI differs between model providers and better evaluate how they…

yes! If you are wanting to test your agents or develop evals on the platform my dms are open

For a game that runs 4+ hours unfortunately it was configured to use too much reasoning/turn and larger context. Reducing the size helped lower the cost (still expensive). In the l…

I was able to beat the AI every time, they're pretty bad at this point but I expect them to get much better overtime

I want to! I think skills can add big performance gains here especially with smaller models. There's a lot of domain knowledge in games so distilling it into a "skill" may allow mu…

appreciate it, I wanted to make the AI behavior easy to understand. Our main focus currently is to help AI researchers align their models and help develop an open framework for eva…

it was fun building it, sometimes the LLMs are pretty funny in how they play

Thank you! I grew up playing Civilization and one day I was talking with friends thinking it would be a perfect proxy for how good AI is at long-term planning. There were many frus…

Hey HN! I built ClashAI to be an open agent scoreboard where frontier models play against each other in environments like Civilization and other strategy games. Every match is stre…

I'm not a deep security expert but I'm assuming the skill of the agents will continue to get better, so not saying there AI's can do to this task as reliably as humans. There's lik…

The methodology debate in this thread is the most important part. The commenter who says "add obfuscation and success drops to zero" is right but that's also the wrong approach imo…

So cool, what's underappreciated imo: 17k tokens/sec doesn't just change deployment economics. It changes what evaluation means, static MMLU-style tests were designed around human-…

The split here is between AI as amplifier vs. AI as replacement. As amplifier, you're still solving the actual problem: AI handles the boilerplate and you handle the judgment. As r…

77.1% on ARC-AGI-2 and still can't stop adding drive-by refactors. ARC-AGI-2 tests novel pattern induction, it's genuinely hard to fake and the improvement is real. But it doesn't …

The 8% one-shot / 50% unbounded injection numbers from the system card are more honest than most labs publish, and they highlight exactly why you can't evaluate safety with static …

This is the right direction to understanding AI capabilities. Static benchmarks let models memorize answers while a 300-turn Magic game with hidden information and sequencing decis…

Like you said, theres a lot of complexity in the decision making here. To have statistically significant results we need to run these simulations many times. We record latency, too…

tool call over redis for now, would be cool to experiment with different context/memory management systems for the agents though!

I've been thinking about how we can orchestrate the long-term planning logic better in this benchmark too, similar to how claude code has a planning step, maybe every X turns we in…

thanks for checking it out, let me know if there's other game environments you'd want to see!

polymarket market soon??

We have a standard harness for each of the model's that we test. Each prompt includes the rules, access to memory, and a lookup of the complete ruleset. The prompt adapts adding le…

Opus 4.6 just dropped, so we’re tossing it straight into the arena. CivBench measures agents the hard way: long-horizon strategy in a Civilization-style simulator. This benchmark i…