Live data from Hacker News

Ask HN: How do systems (or people) detect when a text is written by an LLM

news.ycombinator.com

71–72 of 72 posts

Re: Ask HN: How do systems (or people) detect when a text is written by an LLM

#72

They cannot. Unfortunately many believe they can, and it is impossible to disprove. So now real people need to write avoiding certain styles, because a lot of other people have decided those are "LLM clues." Bullets, EM Dash, certain common English phases or words (e.g. Delve, Vibrant, Additionally, etc)[0]. Basicaly you need to sprinkle subtle mistakes, or lower the quality of your written communications to avoid ac…

Someone with native fluency in American English can (should) be able to tell the difference between human writing and unpolished AI copy-paste. Essentially 0 people use emoji to create a bulleted list. Nobody unintentionally cites fake legal precedents or non-existent events, articles, or papers. Even the “it’s not X, it’s Y” structure, in the presence of other suspicious style/tone cues signals LLM text.

So are you saying that anyone with native fluency in English but who is not from the US can't tell the difference between human writing and unpolished AI copy-paste? I don't agree. Given that US-based LLM models tend to default their output to American English, its arguably much easier for "the rest of us" to spot the "US" language patterns...
Post reply on HN