Multi-agent architectures offer a compelling pathway to disrupt AI by sharing intelligence across numerous agents. This approach contrasts with traditional centralized AI, where a central model interprets data. In multi-agent systems, decentralized agents communicate to achieve collective goals, harnessing the insights of the combined intelligence.