Why do process measures matter if model capability benchmarks exist?
Capability benchmarks describe selected model outputs, while process measures can help explain how research is conducted and where human review occurs. Neither view is sufficient alone. A lab can report both while protecting sensitive details, provided the measures are defined, comparable and independently checkable.
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AI Labs Should Show Their Work Before Asking Us to Trust Their PaceOpinion: recurring, independently verifiable process measures can make claims about AI research progress more accountable.
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