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Adding one sentence warning that others might follow a routing tip made populations of 50 GPT agents crowd one road while avoiding the nearly empty alternative, and shared forecasts can sustain collective inefficiency among similar agents.
Language-model agents increasingly act in populations, where the outcome that matters is collective: whether they align, split or fail to coordinate, using synchronization, the canonical probe of how interaction rules produce collective order.
Platform information design, ahead of model choice or model regulation, is the lever that works in a freight matching market, and platform design choices contain it.
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