zlacker

What's frustrating is the author's comments here in this thread are clearly LLM text as well. Why even bother to have a conversation if our replies are just being piped into ChatGPT??

>>scratc+(OP)
>What's frustrating is the author's comments here in this thread are clearly LLM text as well

Again, clearly? I can see how people might be tipped off at the blog post because of the headings (and apparently the it's not x, it's y pattern), but I can't see anything in the comments that would make me think it was "clearly" LLM-generated.

>>gruez+b3
Honestly, I can't point out some specific giveaway, but if you've interacted with LLMs enough you can simply tell. It's kinda like recognizing someones voice.

One way of describing it is that I've heard the exact same argument/paragraph structure and sentence structure many times with different words swapped in. When you see this in almost every sentence, it becomes a lot more obvious. Similar to how if you read a huge amount of one author, you will likely be able to pick their work out of a lineup. Having read hundreds of thousands of words of LLM generated text, I have a strong understanding of the ChatGPT style of writing.

>>scratc+(OP)
There have been a few times I've had interactions with people on other sites that have been clearly from LLMs. At least one of the times, it turned out to be a non-native English speaker who needed the help to be able to converse with me, and it turned out to be a worthwhile conversation that I don't think would have been possible otherwise. Sometimes the utility of the conversation can outweigh the awkwardness of how it's conveyed.

That can said, I do think it would be better to be up front about this sort of thing, and that means that it's not really suitable for use on a site like HN where it's against the rules.

>>saghm+1I
I've seen that as well. I think its still valuable to point out that the text feels like LLM text, so that the person can understand how they are coming across. IMO a better solution is to use a translation tool rather than processing discussions through a general-purpose LLM.

But agreed, to me the primary concern is that there's no disclosure, so it's impossible to know if you're talking to a human using an LLM translator, or just wasting your time talking to an LLM.