Research · curated 30 Jun 2026
On the Impossibility of Mitigating AI Jailbreaks – AI RELIABILITY REVIEW
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Why it matters
It explains why jailbreaks and prompt injection cannot be fully mitigated by alignment alone, which is essential context for defenders relying on safety training for LLM-based systems.
A blog post (an intuitive version of the NeurIPS 2025 paper 'Mission Impossible: A Statistical Perspective on Jailbreaking LLMs') argues that alignment post-training only reshapes a model's output distribution without imposing hard constraints, making jailbreaks and prompt injections systematically exploitable. It illustrates this with reported real-world failures (McDonald's bot solving python puzzles, xAI chatbots giving bomb instructions, ChatGPT reproducing copyrighted characters).