Chain-of-Thought Spoofing Targets Reasoning AI Models

Researchers [Charles Ye], [Jasmine Cui], and [Dylan Hadfield-Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction sources because they prioritize writing style over metadata tags, and this role confusion leads to a powerful attack called CoT (Chain of Thought) Forgery . We’ll explain exactly how it works after a bit of background review. Prompt injection was where “getting an LLM to do something it shouldn’t” started by exploitin