Four reasons, all from how these models write.
A language model predicts the most likely next word. Likely means average. Every sentence trends toward the centre of how everyone writes, which is how nobody writes. Specificity is rare by definition, and rare is what reads as real.
Stock openers ("In today's fast-paced world"), stock joins ("Furthermore,"), stock bows ("In conclusion"). The structure of an essay with none of the stakes. Readers feel the template before they finish line one.
Thrilled, humbled, game-changer, transformative: high-wattage words attached to ordinary news. Humans reserve those words for moments; models dispense them by default. The gap between the claim and the event is exactly what "fake" means here.
Even paragraphs, even rhythm, and a closing that restates the opening. School-essay shape. Human posts are lopsided: one long thought, one short jab, a question left open.
That's it. AI as the first-draft machine, you as the editor with the specifics. It's the strongest combination available right now, and it reads like a person because, at the points that matter, one was.
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