Pachocki: Standard AI evaluation benchmarks are close to saturation
Jakub Pachocki · From Vibe Coding to Vibe Researching: OpenAI’s Mark Chen and Jakub Pachocki · Sep 25, 2025 · at 2:44
Jakub Pachocki is Chief Scientist at OpenAI. He discusses why traditional AI benchmarks are no longer offering meaningful signals for research progress.
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“One thing is that indeed for like these e-files that we've been using for the last few years, they're indeed pretty close to saturated.”
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More from Jakub Pachocki
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“The big thing that we are targeting is producing an automated researcher. So automating the discovery of new ideas, the next set of evals and milestones that we're looking at will involve actual movement on things that are economically relevant.”
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“If you look at things like Well, I guess the IMO problem six, or maybe some very hardest programming competitions problems. Like, I think there's still a little bit of headway to go for the models, but I wouldn't expect that to last very long.”
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“I haven't really bought that much into the, like, will be data constraint claim. And yeah, I don't expect that to change.”
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“But I expect that well, now as we're seeing you know, these models like actually able to automate, well, yes, like we're saying solving contest problems over, over longer time horizons. I expect that that is, well, that's, that, that was quite small compared t…”
Pachocki: Current OpenAI models can perform one to five hours of reasoning
“And so now, as we kind of, like, get to a level of near mastery of this high school competitions, let's say, I would say, like, we get to, like, maybe on, on the order of one to five hours, Of reasoning.”
Pachocki: Long-horizon AI research blurs verifiable and open-ended domains
“I think if you actually truly want to extend to research and, you know, finding, discovering ideas that, that meaningfully advanced technology on the, on, you know, the scale of like months and years, like I think the, these questions like stop being so differ…”