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OpenAI News · March 10, 2026

IH-Challenge: test instruction priority without rewarding blanket refusal

analysis Prompt InjectionModel EvaluationAI Red Teaming
Why it matters

OpenAI’s IH-Challenge pairs simple conflicting instructions at different trust levels with programmatic checks of the higher-priority constraint. Training an internal GPT-5 Mini variant improved several held-out hierarchy and prompt-injection evaluations. The task design seeks to separate instruction priority from general task difficulty and prevent trivial refusal strategies. These results support a training and evaluation method; they do not prove immunity to adaptive prompt injection or uniformly better performance on every helpfulness metric.

My takeaway: Build matched benign and conflicting cases across system, developer, user and tool inputs. Track useful completion as well as attack rejection, keep adversarial tests held out, and enforce tool permissions independently of model compliance.
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