Dawn Song's point is very important: only looking at the score is like only looking at the total score of a medical check-up report; what really should be asked is "where is it broken, and how is it broken." AI agent evaluation should be the same—breaking down failures into diagnosable patterns so that targeted solutions can be applied.

Research by Berkeley AI and Dawn Song emphasizes that when evaluating intelligent agents, the focus should be on understanding the specific reasons for failure, rather than just the benchmark scores. Long-term failures should be broken down into diagnosable patterns to more accurately locate and analyze where and why the agent fails. The original text does not provide information about specific benchmarks, analysis details, or failure mode classifications.