Experiment tests LLM trained exclusively on fifth-grade-level content

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A research experiment explored what happens when a large language model is trained solely on material at or below a fifth-grade reading level. The project, published on GitHub Pages, investigates how restricting training data complexity affects the model's capabilities and outputs. The experiment raises questions about knowledge depth, reasoning ability, and language generation when an AI is exposed only to simplified content. Details of the methodology and findings are available on the project's dedicated website.

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