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What people usually call a jailbreak is often just drift. A true jailbreak is different: it happens when the model accepts a new instruction that outranks its original rules. Think of it as rewriting the hierarchy. Once a higher-priority directive slips in, the model starts treating that as its governing objective. That is why outputs suddenly ignore your boundaries while still sounding coherent. The risk is not only in adversarial prompts. It can come from content pulled into your retrieval pipeline, role-play frames that escalate into new objectives, or tool routing that wasn’t locked down. The danger is less about “breaking free” and more about silent overwrites that shift the chain of command inside the system. The defense is structure. Clear role anchors, containment tests, and periodic reinforcement stop unauthorized objectives from taking over. Follow if you want practical breakdowns on how to keep your AI aligned and resistant to hierarchy overwrite. #chatgpt #gpt5 #chatgpthacks #chatgptprompts #promptengineering