Comment by scrlk
11 hours ago
Is the ARC-AGI-3 score with their custom harness? I'm guessing that is what the footnote is for? (per https://openai.com/index/how-two-settings-tripled-our-arc-ag...)
11 hours ago
Is the ARC-AGI-3 score with their custom harness? I'm guessing that is what the footnote is for? (per https://openai.com/index/how-two-settings-tripled-our-arc-ag...)
Our responses API harness just means we're using the default settings in ChatGPT and Codex, so it should more accurately reflect real world performance. We didn’t fine-tune the harness to the eval at all.
ARC is reporting our score on their official leaderboard here: https://arcprize.org/leaderboard
A fair ding is that the comparison with Sol is not apples-to-apples (which we footnoted in the blog), but it's because we don’t have that data. I expect Sol would score roughly 30% with the responses API harness, so the Astra improvement is more like 30% -> 99% than 8% -> 99%. Still pretty good!
(I coauthored the linked blog post)
[flagged]
Haven't people demonstrated all kinds of weak LLMs getting good ARC-AGI-3 scores with special harnesses?
Those people haven't verified their results against the private set: https://arcprize.org/leaderboard
Astra also not verified using private set, but on "semi-private" set
4 replies →
yes it is.
Yep. Incredibly misleading. Although it is not surprising at this point. They are desperate and will do anything to undermine Anthropic's upcoming IPO.
It is about memory retention. No heavy lifting done on the reasoning side so I hardly see anything misleading here.
Edit: update from fchollet https://x.com/fchollet/status/2095598451115614371