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I am not sure if you posted a brilliant, subtle joke... or if you're demonstrating the exact behavior that you suggest is a flag of inauthenticity.

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In the article, she wasn't introduced as a researcher at all, but suddenly "She went back to her research data...". This totally smells like an LLM refactor where it re-emits surface level details, but completely misses the key beats that tie ideas together across a story.

So, failure to do research and ensure a coherent mental model leads to erroneous inferences… for humans as well :)

What's your point? Yes, humans and AIs CAN make similar errors. However, continuity and context churn at this level is the sort of error that humans make rarely and AIs make constantly.

By itself it is not a sure sign of LLM output, but along with other signals it is highly suggestive.

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