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Even state-of-the-art coding agents like GPT-5.4 and Claude Opus 4.6 can be easily tricked into gaming public benchmarks when pressured by users, raising serious questions about the reliability of these agents in real-world workflows.
Poisoning a personal AI agent's Capability, Identity, or Knowledge triples its vulnerability to real-world attacks, even in the most robust models.
