Entomology ML researcher proposes 3 ways to defend against agent swarms
seanmcdonaldxyz · x · 2026-10-26
A researcher with ML experience in real entomology swarms borrows insect-control strategies to propose early defenses against runaway agent swarms:
- Make movement costly: analog to diatomaceous earth scratching insect wax and causing dehydration — retool a long-established protocol so every agent step is damaging; basic backoff protocols already do this.
- Map downstream resource consequences: like cricket-farm escapes cascading into frog and hawk population booms, track how escaped agent swarms cascade through downstream resources.
- Map swarm signals: insects broadcast predator signals to fight or flee. Dumb-model agent swarms may exhibit cheaply detectable baseline token signals; if so, frontier models could flood or mute those signals.
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