AINeutralarXiv – CS AI · Mar 277/10
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When Is Collective Intelligence a Lottery? Multi-Agent Scaling Laws for Memetic Drift in LLMs
Researchers introduce Quantized Simplex Gossip (QSG) model to explain how multi-agent LLM systems reach consensus through 'memetic drift' - where arbitrary choices compound into collective agreement. The study reveals scaling laws for when collective intelligence operates like a lottery versus amplifying weak biases, providing a framework for understanding AI system behavior in consequential decision-making.