Can you share your experiment, so that we can draw our own conclusions? I've been paying for Pangram for a long time and have not seen it misbehave even once. I've seen many people attack it, but when I looked more closely, their claims often evidently boiled down to "I want plausible deniability for my own use of LLMs" - i.e., they were clearly posting AI-generated content on social media and just didn't like the possibility of being called out.
I'm not saying that's you, but since a proof is easy to produce, it would be nice if you could share.
I‘ve seen reports of markdown-tags (##) flipping a pangram result from human to machine (with human written text).
But I don’t have a license to confirm.
>I've been paying for Pangram for a long time and have not seen it misbehave even once.
How would you know if you just take whatever slop verdict is serves as correct?
Read the OP you goofball, there’s examples right there in it.
I think most native English speakers are doing well. The one who will face issues are non native ones. I knew English as my third language since about 10 years but I've only truly become somewhat proficient in it in the past 5 or so years, thus it was heavily influenced by LLMs. So who's at fault for this? Me, for speaking like an LLM simply due to my circumstances? Am I now supposed to learn "human" english?