[xmprt]

I agree that these are signs of AI, but they're also the way that people write. I use the "it's not X it's Y" framing a lot of the time because it's a quick way to get my point across. It's probably the sign of a bad writer because I can't come up with a different/better way to say the same thing, but I'm not AI.

[schrodinger]

I could tell it was AI, but it was interesting nonetheless. FWIW, I don't think AI enablement is inherently bad; this can be a game changer for an individual with an interesting thought yet difficulty expressing themselves in written word. (Obviously, it's also created a real problem with the ability to create near infinite well-written content, especially in the case of propaganda.)

I do agree with you that the quotes cited out are literary constructs used by humans, and there's a risk we get trigger-happy in calling out AI-slop. Still, those are just the most obvious tells — there were absolutely other, less notable mannerisms that confirmed it for me. If you interact enough with an LLM, you can become quite good at detecting their output through subtle subconscious cues that are hard to put to words.

I do wonder where some of the tropes came from. Claude tends to say "____ is doing a lot of work in this sentence", yet I don't recognize that as a common construction for humans overall or even a specific community (e.g. journalists). Perhaps I'm just unfamiliar with some vernaculars found in training data. Yet sometimes, it legitimately feels like they've actually developed a lingo of their own — an emergent property.

I find it all truly fascinating (along with other feelings…), and I never expected computers to be able to "understand" language anywhere near the degree we see today. Will it soon plateau, requiring another breakthrough? Or is there plenty of juice left to squeeze?