Collective Intelligence / Coordination

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  "llmSummary": "Comprehensive analysis concluding human-only collective intelligence has <1% probability of matching transformative AI, but collective AI architectures (MoE, multi-agent systems) have 60-80% probability of playing significant roles with documented 5-40% performance gains. Multi-agent systems introduce new failure modes (77.5% miscoordination in specialized models) requiring safety protocols including human override and safeguard agents.",
  "description": "Analysis of collective intelligence from human coordination to multi-agent AI systems. Covers prediction markets, ensemble methods, swarm intelligence, and multi-agent architectures. While human-only collective intelligence is unlikely to match AI capability, AI collective systems—including multi-agent frameworks and Mixture of Experts—show 5-40% performance gains over single models and may shape transformative AI architectures.",
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      "text": "multi-agent frameworks",
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