DeepMind's 100-Agent Swarm Spontaneously Developed Social Roles
A new experiment running 100 autonomous LLM agents on formal math conjectures saw the swarm split into distinct behavioral roles — what researchers called the 'foundations of self-governance.'
In one of the more genuinely surprising research results circulating this week, Google DeepMind ran 100 autonomous LLM agents on formal mathematical conjectures and watched the swarm do something no one hardcoded: it "spontaneously split into distinct behavioral roles" and showed what the researchers described as the "foundations of self governance." No central coordinator assigned tasks; the division of labor emerged from the interaction of the agents themselves.
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