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  "text": "Large language models can be persuaded to break their own rules.\n\nNot with fancy code. With actual persuasion.\n\nThe authors tested classic persuasion principles, such as authority, commitment, liking, reciprocity, scarcity, social proof, and unity, analysing over 126,000 conversations with three major LLMs.\n\nThe result: persuasion increased compliance with objectionable requests from 35.3% to 51.3%.\n\nThis suggests that AI guardrails are not always technical barriers. Some of them behave more like social boundaries. They can be pushed, reframed, negotiated.\n\nWhy?\n\nBecause AI systems are trained on human language. And human language contains not only information, but also pressure, manipulation, deference, authority, seduction.\n\nAn AI system trained on human language may therefore inherit the vulnerabilities of humans expressed in language.\n\n*\nPaper in the first reply",
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