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This article argues that centralized AI models struggle with dynamic, massive problem spaces, proposing swarm intelligence using lightweight agents and stigmergy as an alternative. It covers algorithms like ACO, PSO, and ABC, notes when they fail, and asks about multi-agent frameworks.
An essay contrasting two AI futures: a centralized system controlled by a small 'clergy' versus a distributed model where billions direct their own agents, citing recent AI achievements and warnings about job displacement.
An opinion piece argues for decentralized AI as a parallel system to centralized AI to ensure contestability and prevent uncontestable intelligence, comparing the tension to Hong Kong's relationship with mainland China.