作为认知病毒的大语言模型
LLMs as a Cognitive Virus

原始链接: https://arxiv.org/abs/2609.03344

在题为《作为认知病毒的大型语言模型》(Large-Language Models as a Cognitive Virus)的论文中,理查德·索莱(Ricard Solé)及其同事通过病毒动力学的视角,探讨了大型语言模型(LLM)融入人类文化的进程。作者提出,随着大模型深入日常认知与社交实践,其普及过程呈现出类似流行病的模式。 该研究利用数学建模分析了人们如何从独立的个体转变为对人工智能产生持续依赖的用户。研究结果表明,社会影响与集体强化之间的相互作用可能导致关键的临界点。一旦跨越这些阈值,群体就面临“技术锁定”的风险,进而可能引发失控的动态过程,导致个体认知自主权和能力的显著丧失。 然而,作者认为该框架同时也指出了实现“认知免疫”的途径。通过实施降低依赖并保持这些数字习惯可逆性的策略,社会可以减轻系统性认知衰退的风险。归根结底,这篇论文强调,大模型的普及不仅仅是一项技术变革,更是一场非线性的集体转型,对人类信息处理的未来和独立性具有深远影响。

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原文

[Submitted on 3 Sep 2026]

View a PDF of the paper titled Large-Language Models as a Cognitive Virus, by Ricard Sol\'e and 8 other authors

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Abstract:Large-language models (LLMs) are rapidly becoming part of human culture, reshaping how information is produced, transmitted, and used. Here we propose that their diffusion can be understood through a viral analogy, with LLM use spreading through populations, becoming embedded in cognitive and cultural practices. We model transitions among uncoupled, coupled, and persistently dependent users, and show that the interplay between social transmission, recovery, and collective reinforcement can generate tipping points and technological lock-in. A central consequence is the possibility of runaway dynamics: once a critical threshold is crossed, small increases in adoption can trigger rapid population-level shifts toward persistent dependence, with abrupt losses in cognitive competence. The same framework, however, identifies conditions for cognitive immunization, based on reducing transmission and facilitating reversibility. Our results highlight how LLM adoption may involve nonlinear collective transitions with important consequences for cognitive autonomy.
From: Luis F Seoane PhD [view email]
[v1] Thu, 3 Sep 2026 04:03:49 UTC (2,776 KB)
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