Improving instruction hierarchy in frontier LLMs

This OpenAI write‑up is the clearest articulation of why instruction hierarchy matters (system > developer > user > tool) and how models fail when they get the chain of command wrong. The IH‑Challenge approach isn’t just “teach the rules,” it’s a curriculum that makes conflicts simple and objectively graded. The win is practical: stronger resistance to prompt‑injection and better safety steerability without turning the model into a blanket refuser. If you build agents that consume tool outputs, this is foundational. It’s a blueprint for teaching models which instructions to trust.