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It's often quite easy, because most people who author articles with LLMs do not bother doing any kind of post editing. Meaning you can see/build a mental map of common tropes[^1] for what to look for. Once you read perhaps two or three articles authored with LLMs you will not be able to unsee it.

[^1]: https://tropes.fyi/



Yes but it's still like wading through shit to find the occasional gem. It's not hard to pick out when you work with LLM's a lot. But it's still a bad experience. Social media was already hard at work at killing the internet (or at least what the internet used to be). LLM's made it worse.


For fun, I pasted a few Matt Levine's newsletters into the AI Vetter on the above page. Since it can't fetch the Bloomberg's paged directly, I had to copy the content into Github gists.

4 out of 5 were marked as suspicious, mostly citing short punching sentences, negative parallelism, and content duplication.




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