Paper models LLM adoption as a 'cognitive virus' with population-level tipping points
2C_ornot2C · x · 2026-10-24
A paper titled "Large-Language Models as a Cognitive Virus" (Ricard Solé, Michael Levin et al.; affiliations include Harvard's Wyss Institute and the Santa Fe Institute) applies an epidemiological framework to LLM diffusion, treating AI use like a virus infecting human culture.
Key points:
- Social transmission, recovery and collective reinforcement interact to produce tipping points and technological lock-in.
- Past a critical threshold, small adoption increases can trigger rapid population-level shifts toward persistent dependence with abrupt losses of cognitive competence.
- The same framework identifies conditions for "cognitive immunization": reducing transmission and keeping the transition reversible.
- The work links cultural transmission with cognitive offloading, offering general mechanisms for human–AI coevolution.
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