Congrats, and thanks for your work, but you should be aware that HN comments are completely different from articles. What makes you think the skills/automations required to identify LLM generated HN comments will work seamlessly with submitted articles? You have to do a statistical analysis of this, otherwise it's just guesswork.

You also have to take into account that the medium is the message[1]. In a nutshell, the more people read LLM generated posts and interact with chatbots, the higher the influence of LLM style in their writing -- the whole "delve" comes to mind, and double dashes. So even if you have a machine that correctly identified LLM generated posts, you can't be sure it'll keep working.

[1] https://web.mit.edu/allanmc/www/mcluhan.mediummessage.pdf