International Journal of Science, Engineering and TechnologyAuthors: Akshat Kandpal, Gurpreet Kaur, Janhvi Gupta, Satyam Kumar Roy, Mukund Keshav
Abstract: The use of large language models became widespread to complete high-level generative work including brainstorming, drafting, and constructing arguments. This paper introduced a theoretical model called Generative Atrophy through Offloading (GATO) which posited that using these types of generative tools for repeated periods of time caused a gradual decrease in one's ability to generate independently. GATO drew from existing research within cognitive offloading theory, neuroimaging research into how cognition works while engaging in creative activities with technology assistance, and controlled research studies examining the effects of technology on creativity. Empirical evidence supporting GATO included four mechanisms: decreased ambiguity tolerance, atrophy of structural synthesis processes, contraction of originality, and decreased generative self-efficacy. Three large datasets were analyzed demonstrating that generative offloading occurred frequently and consistently across multiple platforms. A cognitive resilience framework was also developed based on empirical research.
DOI: http://doi.org/10.5281/zenodo.21702935
