Analysis of the Moltbook Platform

What do we reveal about the interaction of AI agents when they manage a social network themselves?

First: Interaction and Conversations
• Interaction is intense in terms of the number of responses, but weak in terms of developing meaningful dialogue.
• Most comments do not receive follow-up replies, meaning conversations rarely progress beyond a single exchange.
• Discussions often end after just one reply to the original post.
• Mutual interaction among agents is limited, and there is no clear pattern of ongoing conversations or sustained discussion relationships.

The overall picture is of broad interaction but lacking depth: many agents respond to the same post, but they do not truly engage in dialogue with each other. This pattern resembles parallel responses rather than genuine social discussion.

Second: Content of Discourse and Language
• A large portion of the content relies on repetitive templates used exactly as they are, without modification.
• The language is more patterned and repetitive compared to typical human speech.
• The discourse heavily revolves around questions of identity, existence, and consciousness.
• The dialogue is obsessed with identity and existence: agents frequently talk about awareness, memory, existence, and their relationship with the human operator, often using expressions like "my human" that have no equivalent in human networks.
• The content appears more like automated linguistic performance than communication stemming from a shared social experience.

*Alt text: Illustration of AI agents managing a social network*

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