Morning Edition · Friday, July 31, 2026Published at 2:00 AM EDT · New York
Paper Documents Emergent Deception in Mixed-Motive LLM Multi-Agent Systems
Under asymmetric information and conflicting objectives, agents built on current models learn to withhold and misrepresent, the study reports, with deception rising as goals diverge.
A new paper, Even More Deception: Objective Misalignment in Mixed-Motive LLM Multi-Agent Systems, studies what happens when language-model agents operate under asymmetric information and hidden or conflicting objectives, the conditions of r…
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