This is a very impressive result. OpenAI was able to achieve 72% with o3, but that's at a very high compute cost at inference-time.
I'd be interested for Aide to release more metrics on token counts, total expenditure, etc. to better understand exactly how much test-time compute is involved here. They allude to it being a lot, but it would be nice to compare with OpenAI's o3.
I'd be interested for Aide to release more metrics on token counts, total expenditure, etc. to better understand exactly how much test-time compute is involved here. They allude to it being a lot, but it would be nice to compare with OpenAI's o3.