Multi-agent alignment might be easier than single-agent alignment
AndrewCritchPhD · x · 2026-08-24
Lionel Levine argues that AI alignment is an emergent property of many agents interacting, not a verifiable trait of a single agent. This poses a challenge for current single-agent eval ecosystems. However, Seb Krier suggests multi-agent alignment might be easier: while single-agent motivations are opaque, multi-agent societies can be designed with transparent protocols, monitored communications, and iterative learning from failures.
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