alt Hacker NewsOn HN many comments under many threads are about whether the submission was written by AI. You could say I have noticed a pattern in Hacker News comments!
In these comments there's a common pattern where some users argue that they do not agree that the submission was LLM written and they often focus on specific details to refute it (e.g em-dashes) and some users see the overall pattern clearly that it's totally obvious. For me it's a kind of smell, it's off putting and it's obvious. The article says to "trust your gut". But it's also something that comes with practice and time, it's not some innate thing. People may have better things to do than expend mental energy noticing patterns in a bunch of social media posts. The more I see it, the more I see it.
The take away I get is that it's okay to notice patterns and it's okay to not notice patterns. Remember that other people may be noticing patterns and associations in things that you might miss. Be charitable.
Far more interesting questions are:
1) If you cant see the patterns of LLM writing, does the idea that the thing you liked was written by LLM worry you?
2) If you can see the patterns clearly is the fact that it's LLM written worry you?
Because in our comments there's many who do not care that LLM's are writing content and theres many who do care. But are these correlated with those who can see the LLMs or who are blind to them?
I'm not worried abou LLM written content, my problem is not word prediction. My problem with it pretty much like with mass produced self help books decade ago.
Good human writing especially on highly technical topics its usually compression of information.
Like you have some experience you want to share with others and you work your brains try to put it into concise story.|
Problem us: AI generated texts are opposite 99% of the time: author usually have bullet point list to feed into machine to add hallucinated word predicted story on top of it.
So signal to noise ratio is much worse.
So reading AI texts is pretty much like listening for stories from humans with mental problems - no one really wants to listen to hallutinations even if somewhere inside there is some useful information.