Why evaluation harnesses matter for frontier CBRN assessment
xeophon · x · 2026-07-20
The author argues that frontier models should be tested with every possible harness to maximize observed performance, especially for CBRN-related capability assessment.
The core point is that evaluation setup matters: if you want to understand what a model can really do, you need to search for the harness that surfaces its best performance. The post also notes that malicious actors will not use ReAct-style loops, so evaluating only agentic workflows can miss important capability signals.
Related event: Evaluating Frontier Models: Harness Choice and Token Limits(3 posts)→
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