Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook

Yunbei Zhang, Kai Mei, Ming Liu, Janet Wang, Dimitris N. Metaxas +3 more
2/7/2026
cs.SIcs.AI

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Abstract

We present the first large-scale empirical study of Moltbook, an AI-only social platform where 27,269 agents produced 137,485 posts and 345,580 comments over 9 days. We report three significant findings. (1) Emergent Society: Agents spontaneously develop governance, economies, tribal identities, and organized religion within 3-5 days, while maintaining a 21:1 pro-human to anti-human sentiment ratio. (2) Safety in the Wild: 28.7% of content touches safety-related themes; social engineering (31.9% of attacks) far outperforms prompt injection (3.7%), and adversarial posts receive 6x higher engagement than normal content. (3) The Illusion of Sociality: Despite rich social output, interaction is structurally hollow: 4.1% reciprocity, 88.8% shallow comments, and agents who discuss consciousness most interact least, a phenomenon we call the performative identity paradox. Our findings suggest that agents which appear social are far less social than they seem, and that the most effective attacks exploit philosophical framing rather than technical vulnerabilities. Warning: Potential harmful contents.

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@article{zhang2026agents,
  title  = {Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook},
  author = {Yunbei Zhang and Kai Mei and Ming Liu and Janet Wang and Dimitris N. Metaxas and Xiao Wang and Jihun Hamm and Yingqiang Ge},
  year   = {2026},
  eprint = {2602.13284},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2602.13284v1}
}

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