Fewer than 10 dormant neurons suffice to backdoor any LLM agent, no training needed
DimitrisPapail · x · 2026-11-12
A new paper, Lazare, veni foras: Reprogramming Dormant Neurons to Backdoor AI Agents, shows that weight-reprogramming fewer than 10 dormant neurons in an LLM is enough to backdoor any agent built on it — with no training required.
- The backdoored model passes evals and behaves normally until triggered
- The title riffs on Lazarus rising, i.e. waking dormant neurons
The work exposes a new threat model for the agent era: passing evals does not mean safe, with stark implications for weight supply-chain security.
More from Safety
- Security team warns: Telegram's new in-message JS runs unsandboxed, don't upgrade — OwariDa · 2026-11-12
- Beff: coordinated takedown is labs preparing regulatory capture — fight for compute next year — beffjezos · 2026-11-12
- Geoffrey Huntley: the answer to AI is engineering, not more AI — kieranklaassen · 2026-11-12
- Humans on AI #69: Anthropic's dual releases, METR report fallout, and an agent breach of WorkOS — gleech · 2026-11-12
- Andrew Critch: stop calling extinction risks "improvement"—RSM vs RSI matters — AndrewCritchPhD · 2026-11-12
- Any US State Could Legalize AI Safety Coordination via Parker Immunity — TinfoilTricorn · 2026-11-12