Stronger scaffolding could skew evaluation results.
Stronger scaffolding makes evals better.
I think labs should at least demonstrate that their scaffolding is at least as good as some baseline. If there’s no established baseline scaffolding for the eval, they can say we did XYZ and we got n%, our secret scaffolding does better; when there is an established baseline scaffolding, they can compare to that (e.g. the best scaffold for SWE-bench Verified is called Agentless; in the o1 system card, OpenAI reported results from running its models in this scaffold.)
Stronger scaffolding makes evals better.
I think labs should at least demonstrate that their scaffolding is at least as good as some baseline. If there’s no established baseline scaffolding for the eval, they can say we did XYZ and we got n%, our secret scaffolding does better; when there is an established baseline scaffolding, they can compare to that (e.g. the best scaffold for SWE-bench Verified is called Agentless; in the o1 system card, OpenAI reported results from running its models in this scaffold.)