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(Whisper: This also matched my gut feeling—LLMs have subtle word choice patterns, and even a Naive Bayes classifier should catch them. I just didn’t expect the signal to be this strong.)

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Next, I used an LLM to generate chapter summaries of these texts, then fed the summaries back into various LLMs to regenerate full articles. This gave me a similar-sized, diverse dataset of LLM-generated texts closely aligned in topic and style with the human-written ones.