Linguistic States in Place of the USA

The author explores the capabilities of modern Large Language Models (LLMs) through an unusual experiment: visualizing the territory of the USA divided into states based on linguistic principles. Inspired by recent political news, the author used the mapus.ai service to generate a map based on real demographic data. The article details the neural network's workflow, from analyzing linguistic maps to interpreting historical and statistical data. The author emphasizes that this approach turns content generation into an educational study, demonstrating how LLMs can be used to visualize complex sociocultural processes. The article attempts to move away from simple 'AI hallucinations' toward a data-driven approach, transforming a creative experiment into a historical and geographical analysis. Readers are invited to explore the query processing methodology and the simulation results, which clearly demonstrate how the linguistic factor could have altered the political map of modern America.