Agent Swarms Get Stuck in Local Minima; Two Design Fixes
JensHonack · x · 2026-11-14
A repost of @Vtrivedy10's argument that agent swarms, like single agents, are myopic: they fall into local minima and rabbit-hole.
Two design methods to escape this:
- Adversarial game: frame the problem so multiple swarms compete against each other (requires good goal/task design).
- Seed and cross-pollinate: explicitly give swarms different ideas, let them work independently, then share findings (fork & flush).
The author is experimenting with swarms to drive an "eval factory": task proposer → hacker → external judge. The intent is for swarm goals to play against each other without collapsing (akin to GANs), while shared knowledge improves the whole system.
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