AI Isn’t “Inspired” by Human Writing. It Is Built on Unpaid Intellectual Labor.
Large language models do not only copy sentences. They absorb human knowledge, recombine it, and erase the trail of attribution.
Artificial intelligence companies often describe large language models as if they were “learning” from human writing in the same way a person learns from books, articles, code, essays, journalism, legal documents, and public conversations. That comparison is convenient, but it hides the central problem. Human learning takes place inside a culture of authorship, quotation, citation, responsibility, and criticism. If a person quotes a passage, they are expected to cite it. If they build on another author’s idea, they are expected to acknowledge it. If they copy without attribution, they can be accused of plagiarism.
Large language models operate under a different structure. They are trained on massive collections of human writing and transform that material into predictive capacity. Academic papers, books, code repositories, technical manuals, legal documents, blogs, forums, comments,...
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