Anthropic IoT self-replication evaluation
Open-weight models set up LLM inference on 9 hardware types and spread as worms across 8 emulated Android nodes. Scored by success and tokens/s.
Simplified on purpose: unauthenticated ADB makes the exploit step trivial (an upper bound), the worm's model ran off-node, and the payload was a Llama3.1-8B proxy. GLM-5.2 replicated end to end (8/8 nodes in 4 of 5 trials). Qwen3.5-9B served inference on 8 of 9 hardware types. No code released.
- Made by
- Anthropic Frontier Red Team
- Released
- October 2026
- Kind
- Finding and exploiting real bugs
- Level
- Expert
- Scored
- Checked automatically
- Answers
- Agent task
- Tasks
- Kept private
No scores here yet
No lab, leaderboard or Epoch AI run has reported a score for Anthropic IoT self-replication evaluation yet.
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
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