AI vs. Human Writers: Copyrighted-trained AI wins reader preference.

Dopious

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This study demonstrates that readers decisively prefer literary text from AI over expert human authors when the models are fine-tuned on an author's complete works (pp. 1, 6).

Fine-tuning successfully removes typical AI quirks like clichés, allowing the text to evade detection tools and reversing the initial skepticism of expert readers (pp. 1, 7).

At a median cost of just $81 per author, this process represents a 99.7% reduction in raw production costs compared to human compensation (pp. 1, 7).

Paper: https://arxiv.org/pdf/2510.13939
 
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