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Heterogeneous AI agent networks can evolve to outperform homogeneous counterparts, revealing a new scaling law for collaboration that defies traditional strength metrics.
LLMs can reliably control real-world sensor networks by verifying plans against a learned spatial model *before* execution, boosting success rates by 37% while slashing token usage.
