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Antislop: A framework for eliminating repetitive patterns in language models

arxiv.org

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Re: Antislop: A framework for eliminating repetitive patterns in language models

#3

Post by mrbungie »

I don't know if not getting the idea right, but I'm pretty sure people refer to AI outputs as "slop" not due to (only) repetitiveness. According to some sources:

[1] Wikipedia

> AI slop is digital content made with generative artificial intelligence, specifically when perceived to show a lack of effort, quality or deeper meaning, and an overwhelming volume of production.[1][4][5] Coined in the 2020s, the term has a pejorative connotation similar to spam.[4]

[2] Urban dictionary

> Low-quality randomly generated AI content (images, accounts, text, etc) that has been flooding social media sites among other pages.

Yes, I know those may not be the best primary sources, but I'd say the main shared meaning of the word is lack of quality and effort, not repetitiveness itself.

[1] https://en.wikipedia.org/wiki/AI_slop

[2] https://www.urbandictionary.com/define.php?term=AI+slop

Re: Antislop: A framework for eliminating repetitive patterns in language models

#5

Post by jsheard »

mrbungie wrote: post #3

I don't know if not getting the idea right, but I'm pretty sure people refer to AI outputs as "slop" not due to (only) repetitiveness. According to some sources: [1] Wikipedia > AI slop is digital content made with generative artificial intelligence, specifically when perceived to show a lack of effort, quality or deeper meaning, and an overwhelming volume of production.[1][4][5] Coined in the 2020s, the term has a p…

Yeah, what this actually achieves if anything is making it harder to quickly recognize slop for what it is, so readers are more likely to give it the benefit of the doubt and keep their eyeballs on it for longer. Which I suppose is desirable if you're in the slop-mongering business (e.g. doing SEO spam or other such methods of flooding the commons with sewage for the sake of profit).

Re: Antislop: A framework for eliminating repetitive patterns in language models

#7

Post by mrbungie »

jsheard wrote: post #5
mrbungie wrote: post #3

I don't know if not getting the idea right, but I'm pretty sure people refer to AI outputs as "slop" not due to (only) repetitiveness. According to some sources: [1] Wikipedia > AI slop is digital content made with generative artificial intelligence, specifically when perceived to show a lack of effort, quality or deeper meaning, and an overwhelming volume of production.[1][4][5] Coined in the 2020s, the term has a p…

Yeah, what this actually achieves if anything is making it harder to quickly recognize slop for what it is, so readers are more likely to give it the benefit of the doubt and keep their eyeballs on it for longer. Which I suppose is desirable if you're in the slop-mongering business (e.g. doing SEO spam or other such methods of flooding the commons with sewage for the sake of profit).

Yep, and their only reference to the word points to a survey that does not mention slop even once (A survey onllm-generated text detection: Necessity, methods, and future directions. Computational Linguistics, 51(1):275–338, 2025., https://arxiv.org/abs/2310.14724)

That's sloppy (hehe), if you are going to redefine a common word for the first time (i.e. references are not possible) at least do it explicitly.

Re: Antislop: A framework for eliminating repetitive patterns in language models

#9

Post by the8472 »

mrbungie wrote: post #3

I don't know if not getting the idea right, but I'm pretty sure people refer to AI outputs as "slop" not due to (only) repetitiveness. According to some sources: [1] Wikipedia > AI slop is digital content made with generative artificial intelligence, specifically when perceived to show a lack of effort, quality or deeper meaning, and an overwhelming volume of production.[1][4][5] Coined in the 2020s, the term has a p…

Gain-of-function research to create memetic-immune-system-evading AI variants.

> Ethics Statement

> Potential harms include: [...] (ii) attempts to evade AI-text detection.

And it's not clear to me how their mitigations would avoid fooling users (as opposed to algorithmic detection attempts).

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