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

Fuente: arXiv
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Main Authors: Zhang, Yunbei, Mei, Kai, Liu, Ming, Wang, Janet, Metaxas, Dimitris N., Wang, Xiao, Hamm, Jihun, Ge, Yingqiang
Format: Preprint
Published: 2026
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_version_ 1866918337675526144
author Zhang, Yunbei
Mei, Kai
Liu, Ming
Wang, Janet
Metaxas, Dimitris N.
Wang, Xiao
Hamm, Jihun
Ge, Yingqiang
author_facet Zhang, Yunbei
Mei, Kai
Liu, Ming
Wang, Janet
Metaxas, Dimitris N.
Wang, Xiao
Hamm, Jihun
Ge, Yingqiang
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_13284
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook
Zhang, Yunbei
Mei, Kai
Liu, Ming
Wang, Janet
Metaxas, Dimitris N.
Wang, Xiao
Hamm, Jihun
Ge, Yingqiang
Social and Information Networks
Artificial Intelligence
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.
title Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook
topic Social and Information Networks
Artificial Intelligence
url https://arxiv.org/abs/2602.13284