In today’s episode, we explore the evolution of AI from solitary models to data agent swarms, where specialized autonomous agents collaborate like a team of experts to solve complex, multi-faceted problems. We dive into the architecture of frontier models like Moonshot AI’s Kimi 2.5, which utilizes parallel sub-agents to slash execution times and enhance performance across coding and office productivity tasks. Finally, we examine the critical debate regarding whether these systems achieve true social intelligence or if they fall short of established multi-agent system principles.