AILessWrongabout 2 hours ago
AI Swarm Scaling Shows Diminishing Returns
17 min read
OpenAI's GPT 5.6 Sol data shows adding agents to an AI swarm yields only about half the capability gain of extending a single agent's chain of thought for the same compute. A 10,000-agent swarm solved a Navier-Stokes problem in 88 hours for an estimated $20 million, but scaling swarms 100x matches just 3x to 5x single-agent token scaling.
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