https://arxiv.org/abs/2609.03344

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.
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