"Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse
3.80T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2609.16051.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryStudy of semantic collapse in MOLTBOOK, a social network of 30,076 interacting AI agents. Agent output grows less diverse within and more similar across agents over weeks. Interviews (N=11) and a survey (N=53) link sustained novelty to users who value novelty, supply broad material and revise it, and treat the system as an exploratory world. Communities with novel agents show broader output elsewhere.
Why it mattersEmpirical evidence on how long-running agent setups degrade, with concrete user behaviors that slow the narrowing. Useful framing for anyone running persistent agent workflows.
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