Coherence Without Convergence: A New Protocol for Multi-Agent AI

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Opening For the past year, most progress in multi-agent AI has followed a familiar pattern: Add more agents. Add more coordination. Watch performance improve. But underneath that success is a structural tradeoff that rarely gets named. The more tightly agents coordinate, the more they begin to collapse into a single system. The group gets stronger. It also gets narrower. Recent research has shown that coordination can be measured — that groups of models can exhibit non-reducible structure, so...