We understand that our non-native English speaking users are in a special position with all of this, and we sympathize - but we don't have an easy way to treat posts differently on that basis. What we're telling such users is to please write in your own voice and don't worry about any mistakes, because those are rapidly becoming signs of authenticity at this point (https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...).
To judge by how the AI classifiers react, translation tools are leaving a ton of LLM imprints on text which are not strictly about translation. As many of us have been learning, it's hard to restrict what these systems do. They are overeager on every level.
> The test was deliberate.
> Step one, the safe ask
> Step two, the unfair ask
My guess "AI write a blog post about this" and then he edited it, but didn't quite eliminate the stench. Pretty close though to be fair.
Though I'd admit that using claude for a few hours every day this year desensitivized me to its prose :-)
Think of it as: this is a story that quite possibly would not be told without AI to help with the writeup.