Just like em-dashes, some people have always done these though. Why are they penalized with immediate AI slop witch hunts? The LLMs didn't come up with these tics out of thin air.
Just like em-dashes, some people have always done these though. Why are they penalized with immediate AI slop witch hunts? The LLMs didn't come up with these tics out of thin air.
I've realized that even when humans write that way, I also stop reading. Manipulative writing always shuts down my interest in reading it. At least when the LLM does it, it's a byproduct of training. When a human does it's intentional.
Yeah see that makes a lot more sense. If one doesn't like the writing style or content, just don't read it. The reflexive "this is AI slop!" complaints have themselves become a caricature. If something was written by AI but one liked the writing style and content, who cares? But regardless of the authorship if it's vapid and annoying, then that's different.
> ust like em-dashes, some people have always done these though.
Everytime someone claims that they have always written like this I grab a pre-2022 post of theirs and five both to a few SOTA chatbots and ask "did the same writer author both these texts".
Thus far I have never gotten a "likely" response.
If the author truly did not use an AI to write something, then it is more likely that theybhave spent so much time conversing with their LLM than reading human authored material that they now sound like an LLM.
This specific article, though, doesn't look anything like LLM output.
PS. Isn't it odd how all LLMs have converged on the same speech patterns, patterns which resemble almost no human authored material outside of high-pressure sales techniques?
I've used pseudo-em dashes going back to the 90s. In that I'll use hyphen (-) a lot. So for me, an actual em dash would be a tell, but if I just have a normal hyper in between two thoughts, it's not.
And yes, I agree that most people who light up on AI tell scans are indeed using AI. That's not my point.
You have to start with the reason there’s a witch hunt. I love reading. I read books (novels) almost every day and I’m almost always perusing a textbook pr an article for my jobs and my hobbies. The signal/noise for entertainment or information was fairly high, then come LLM tools.
You start to be interested by the title of an article or a book cover, and then you start reading it and it’s just vapor. Nothing tangible to be gained. It’s like buying something expensive and finding out a cheap trinket under the wrapping.
After a couple of times, you will develop a certain kind of heuristics for this kind of texts. It will not be perfect and will have some false positives, but that’s the only way to keep your sanity.
I mean I get it. It bugs me too. And yes, obviously most of the text that people point at as being AI slop is in fact AI slop. At the same time, you also have the other set of asshats that just go respond with things like "AI slop!" to everything when they can't actually be certain. Like I said, some of these AI tells are things that actual real humans do too.
I like your vapor term. For me it's about the content anyways. If it's just some sort of vapid, pointless drivel then I'm not going to like it regardless of who or what wrote it. And in my experience text that strongly correlates with AI tells also strongly correlate with having sparse substance and lots of fluff.
In other words, if people don't like something, just don't read it. Shouting at people for AI generated text just makes you look foolish if the text is not in fact AI generated. And the person shouting "AI slop!" has no way to prove it other than vibes.
>The LLMs didn't come up with these tics out of thin air.
LLMs were trained with a lot of synthetic data to transform them from a complete this text into a chatbot, I suspect that this tons of synthetic data that forces the LLM to answer questions into a specific ways also forced them to have this "synthetic/robotic" language. Claude users would have noticed the "belter and suspenders" phrase just started popping out after an update and I am sure is nto because lots of developers used it in their blogs and Anthropic scrapped those blogs in that update.