Robot comment classifier

2 points by kqr


(I used both AI and vibecoding tags because the article describes training a logistic regression/SVM on LLM output. I thought there was a statistics tag that would have been appropriate but apparently not!)

sebastiancarlos

Other such typographical marks robots produce more of than humans are semicolons (;), unicode arrows (→), and ellipses (…).

Well, I set up this system-wide LLM instruction. Let's see how it goes:

Never generate curly quotes (“”‘’), em dashes (—), unicode arrows (→), ellipses (…), and "e.g."