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carodgerstoday at 5:17 PM1 replyview on HN

Even before LLMs, proving that a specific human wrote some piece of text was difficult or imprecise due to coauthoring, editing, plagiarism, etc. The important question then, as now, is rather to determine whether a specific human approved some piece of text for publication under their name.


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Mike-Kelnertoday at 7:13 PM

This is what puzzles me about the whole topic as well. Why do we need to treat AI texts as anything special? As long as there is a name next to the text, we should care about the message instead of the way it was written. It reminds me of the situation with political ads, when after the main part of a commercial we hear: "I'm John Doe and I approve this message." It doesn't matter who wrote the script of the commercial - John Doe confirms that it is his position, and that is what matters most.

For example, English is not my native language. I can speak, read, write - I have no issue using it for work or everyday life. My own kid only speaks English. But when we talk about writing an article, I would want to polish it. I would want to put my thoughts into a better form, so people may enjoy reading a well-written text which may have some fragments written or edited by AI so it will be simply better. I would use it for additional fact-check. Communication is not a competition in language skills.

I once heard a story told by a journalist. He used to write articles for the NYT from time to time, and the process was like this: he knows English, but the NYT asked him to write in his native language, a very experienced translator produced the English text, and then they polished it together with the editors. Once the article was published, it mentioned only his name — no mentions of editors or translators. Why? Because creating a text is not just writing or typing. Often it is a more complicated process which may or may not include other people or systems. What matters most is whether the author puts their signature at the end or not.

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