Tag: Language Competence
Unspooling of Human Linguistic Competency Under Sustained, Unconstrained LLM Use: A Multi-Spectrum Demonstration Test Across Education and Professional Domains
This paper proposes and operationalizes a testable theory—unspooling—defined as measurable, time-linked loss in language competence when people use large language models (LLMs) without LLM support. The theory makes specific claims about deterioration in both language production and language comprehension and encoding, with effects expected to be dose-dependent and accelerated by deeper patterns of use.