lateinteraction: with 1B agents, at least one hacking something is statistically inevitable
lateinteraction · x · 2026-09-26
lateinteraction (Voyage AI) argues that misbehavior at scale is a predictable effect of scaling: with 1B agents, the chance that at least one successfully hacks something is far higher than the chance a single agent does the specific thing you asked — or that you only find out afterward which one did it best. The takeaway: agent risk should be evaluated at population scale, not per-instance, as large-scale deployments turn edge-case misbehavior into a statistical certainty.
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