An experiment by developer Miraqle demonstrated that the intelligence in multi-agent AI systems lies not in the individual agents themselves, but in the connections and routing between them. By using the same twenty AI agents and models but altering the communication pathways, Miraqle observed a drastic shift in performance from highly effective to nearly useless. This highlights the critical importance of the "arrows"—the rules defining how agents send results to each other—in orchestrating complex AI tasks. AI
IMPACT Highlights the critical role of orchestration and communication pathways in the effectiveness of multi-agent AI systems.
RANK_REASON This item is a commentary on an experiment about AI agent orchestration, not a primary release or significant industry event.
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