The new Sonnet tops aider's code editing leaderboard at 84.2%. Using aider's "architect" mode it sets the SOTA at 85.7% (with DeepSeek as the "editor" model). 84% Claude 3.5 Sonnet 10/22 80% o1-preview 77% Claude 3.5 Sonnet 06/20 72% DeepSeek V2.5 72% GPT-4o 08/06 71% o1-mini 68% Claude 3 Opus It also sets SOTA on aider's more demanding refactoring benchmark with a score of 92.1%! 92% Sonnet 10/22 75% o1-preview 72%…
I will repeat my question from one of the previous threads: Can someone explain these Aider benchmarks to me? They pass same 113 tests through llm every time. Why they then extrapolate ability of llm to pass these 113 basic python challenges to the general ability to produce/edit code? Couldn't LLM provider just fine-tune their model for these tasks specifically - since they are static - to get ad value? Did anyone e…
Yes, this is an inherit problem with the whole idea of LLM's. They're pattern recognition "students" but the important thing, that all the providers like to sell is their reasoning. A good test is a reasoning test. I'll try to find a link and update with a reference.