Economists debate multi-agent swarms: do they survive as models get smarter?
rosstaylor90 · x · 2026-11-14
Andrey Fradkin, James Cham, and others hosted a dinner on the economics of multi-agent swarms. Key observations:
- There's still no good taxonomy for when swarms beat single-threaded or scaffolded agent systems. Attendees debated whether swarms retain value beyond speed/parallelization as models get smarter enough to solve things alone.
- Even where swarms stay useful, it's unclear if current training lets agents learn optimal self-organization, or if a more Darwinian path—agentic organizations competing for survival—is likelier.
Cham also shared a reading list spanning Dan Davies' The Unaccountability Machine, Kevin Kelly's Out of Control, Ethan Mollick on Jagged AGI, Roger Myerson on AI's economic challenges, Anthropic's Patterns and Problems in Emerging Multiagent Systems, and Prime Intellect's On the Nature of the Swarm.
Related event: Economists Debate Whether Smarter Models Still Need Agent Swarms(4 posts)→
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