tl;dr: Researchers model LLM adoption as an epidemiological process, tracking transitions between uncoupled, coupled, and persistently dependent users to describe how AI tools spread through populations. Their model predicts tipping points where small adoption increases can trigger runaway shifts toward mass dependence and population-level losses in cognitive competence. The framework also identifies "cognitive immunization" conditions—reducing transmission and enabling reversibility—that could counteract lock-in.