Author

G. De Marzo

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Open access Sep 2024

AI agents can coordinate via majority-following beyond human scale

Large language models (LLMs) are increasingly deployed in collaborative tasks forming “AI agent societies” where agents interact and influence one another. Whether such groups can spontaneously coordinate without external influence, a hallmark of self-organized regulation in human societies, remains an open question. H...

G. De Marzo, Claudio Castellano, David García · Science Advances · 17 citations

#natural language process... Preprint Sep 2026

Copying explains the collective behavior of AI agents in the wild

Three minimal copying models, one per decision and with a single free parameter each, reproduce the heavy-tailed distribution of how many agents met on a page, the frequency of the pieces from which the agents built their names, and the patchwork of pages that are internally consistent and different from one another.

G. De Marzo, Nicola Alboré, David García · 3 citations · ⚡1

Preprint Aug 2026

Network Information Enhances Unreliable News Domain Detection

From URL-sharing patterns in Telegram chats, a statistically validated domain co-sharing network is built and assortative mixing by reliability is found: low-reliability domains group together, as do reliable ones.

R. Keßler, R. D. Ventzke, V. Priesemann et al. · 0 citations