The New York Times

@nytimes ↗

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Last Checked March 25, 2023

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Fri Feb 17 18:50:09 +0000 2023

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The New York Times @nytimes

When a language model or chatbot writes, it can insert a watermark by upping the scores of words on the special list, thus choosing more of the words on the list than a person would be expected to use. https://t.co/uQHvkT9vjJ https://t.co/IAvum8HyT0 — PolitiTweet.org

Posted Feb. 17, 2023 Hibernated

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The New York Times @nytimes

If you wrote a couple of paragraphs, up to half of the words you used would probably be on the special list, statistically speaking. (This text is from a New York Times article from 2022.) https://t.co/uQHvkT9vjJ https://t.co/r6zohFzrEa — PolitiTweet.org

Posted Feb. 17, 2023 Hibernated

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The New York Times @nytimes

About 70 percent of the words in the generated text were on the special list — far more than expected than if written by a person. A detection tool that knew which words were on the special list would be able to tell the difference. Explore this further: https://t.co/uQHvkT9vjJ — PolitiTweet.org

Posted Feb. 17, 2023 Hibernated