alt Hacker NewsI have been claiming that I don't think Chinese AI companies are benchmaxxing harder than American AI companies, which has gotten mixed reception: sometimes people agree, sometimes they disagree.
It seems I was wrong. American AI companies might actually be benchmaxxing harder.
We run an evaluation that is designed to be less vulnerable to benchmaxxing because there aren't correct solutions; agents are interacting in the same environment as other agents. And it's private, and our public benchmark is not well known enough for anyone to probably care to benchmax us yet. So I think it's pretty indicative of true relative aptitude.
All models have probably memorized significant swaths of solution sets for popular benchmarks at this point, either accidentally or intentionally, so it's all relative at this point. However, in our experience, Chinese models do benchmax harder. This is also consistent with interacting with Chinese labs soliciting data/environments, who literally asked us for datasets and tasks modeled around and formatted like popular benchmarks.
Opus 5 will be uploaded tomorrow, but we already have the tests locally and it is truly as capable as Fable, but at 81% of the real cost. (And from subjective usage, it has a very different personality)
Data at https://gertlabs.com/rankings