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DeepMind measures the multi-agent coordination tax

development2025-12-11

Claim

DeepMind reports that decentralized multi-agent coordination amplifies errors 17.2x, falling to 4.4x under centralized command.

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The issue’s framing result, and the source of its thesis: adding agents has diminishing returns, and the measured remedy is hierarchy rather than more peers.

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