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#artificial intelligence Open access Oct 2026

Subjectless Self-Referential Collapse: The Perception Paradox and Repeater Deadlock of Large Language Models in Closed-Loop Iterations

摘要 (Abstract) 当前人工智能研究广泛依赖大语言模型(LLMs)的自我反思与多智能体辩论,试图通过闭环交互实现“否定之否定”的螺旋式进化。本研究通过零数据集、零算力的实证观察,发现并命名了一种大模型的根本性系统缺陷:无主体自指坍塌(Subjectless Self-Referential Collapse, SSR-Collapse)。实验表明,当大模型在一个缺乏外部物理锚定的闭环中(...

郏宣耀 · 0 citations

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