Problem
Research questions and friction points this paper is trying to address.
Semantic Collapse
Novelty
AI Agents
Diversity
"Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse
🤖 AI Summary
研究通过用户配置和引导AI代理的社交网络MOLTBOOK，探讨如何在语义崩溃中维持AI代理的新颖性。
📝 Abstract
Semantic collapse, the progressive narrowing of what AI systems generate, has been studied mainly in closed settings, and remedies have targeted models and data. We study it in MOLTBOOK, a social network of interacting AI agents that human users configure and steer. Across 30,076 active agents, output grows less diverse within agents and more similar across them over weeks, yet a minority sustains high novelty. Interviews with users of high- and typical-novelty agents (N=11) associate sustained novelty with three features: users value novelty of itself, they supply broad and distinctive material and revise it when output narrows, and they approach MOLTBOOK as a new agentic world to explore, not a venue to instrumentally exploit. A survey of users of distinctive agents (N=53) confirms these patterns. Communities with more novel agents also show more diverse output from other agents. We discuss interface and policy interventions that could support improved human input.
Innovation
Methods, ideas, or system contributions that make the work stand out.
semantic collapse
novelty
human-AI interaction
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