I honestly can’t always distinguish AI slop from the formulaic corp-speak used in emails and memos and brochure websites and other marketing. I’m guessing that must be a large component of the training matter.
Antislop: A framework for eliminating repetitive patterns in language models
21–30 of 119 posts
Re: Antislop: A framework for eliminating repetitive patterns in language models
#22I've been using ChatGPT fairly regularly for about a year. Mostly as an editor/brainstorming-partner/copy-reviewer. Lots of things have changed in that year, but the things that haven't are: * So, so many em-dashes. All over the place. (I've tried various ways to get it to stop. None of them have worked long term). * Random emojis. * Affirmations at the start of messages. ("That's a great idea!") With a brief pause w…
ChatGPT is made for normies—they love sweatdrop emojis. I recommend https://ai.dev
Re: Antislop: A framework for eliminating repetitive patterns in language models
#23I've been using ChatGPT fairly regularly for about a year. Mostly as an editor/brainstorming-partner/copy-reviewer. Lots of things have changed in that year, but the things that haven't are: * So, so many em-dashes. All over the place. (I've tried various ways to get it to stop. None of them have worked long term). * Random emojis. * Affirmations at the start of messages. ("That's a great idea!") With a brief pause w…
Ah, you've hit a classic problem with :smile_with_sweat_drop:. Your intuition is right-- but let me clarify some subtleties...
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Re: Antislop: A framework for eliminating repetitive patterns in language models
#24I 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…
The LLM erotic roleplaying community's usage of "slop" aligns with the definition in this paper, so it's not without precedent. Several novel sampling methods have originated from that community trying to address this specific issue.
Re: Antislop: A framework for eliminating repetitive patterns in language models
#25I 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…
The LLM erotic roleplaying community's usage of "slop" aligns with the definition in this paper, so it's not without precedent. Several novel sampling methods have originated from that community trying to address this specific issue.
Nothing wrong with that, but at (1) least reference it or (2) define it yourself explicitly.
Re: Antislop: A framework for eliminating repetitive patterns in language models
#26I 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…
The LLM erotic roleplaying community's usage of "slop" aligns with the definition in this paper, so it's not without precedent. Several novel sampling methods have originated from that community trying to address this specific issue.
Yup. You see this with the very first projects to get a new sampler being oobabooga text gen webui, sillytavern circa early 2023 with min_p. Same with diffusion models. First projects to get new denoising algorithms are ComfyUI, Automatic1111, etc.
Re: Antislop: A framework for eliminating repetitive patterns in language models
#27[flagged]
Re: Antislop: A framework for eliminating repetitive patterns in language models
#28I've been using ChatGPT fairly regularly for about a year. Mostly as an editor/brainstorming-partner/copy-reviewer. Lots of things have changed in that year, but the things that haven't are: * So, so many em-dashes. All over the place. (I've tried various ways to get it to stop. None of them have worked long term). * Random emojis. * Affirmations at the start of messages. ("That's a great idea!") With a brief pause w…
> Affirmations at the start of messages. ("That's a great idea!") With a brief pause when 5 launched. But it's back and worse than ever now.
What a great point! I also can’t stand it. I get it’s basically a meme to point it out - even South Park has mocked it - but I just cannot stand it.
In all seriousness it’s so annoying. It is a tool, not my friend, and considering we are already coming from a place of skepticism with many of the responses, buttering me up does not do anything but make me even more skeptical and trust it less. I don’t want to be told how smart I am or how much a machine “empathizes” with my problem. I want it to give me a solution that I can easily verify, that’s it.
Stop wasting my tokens and time with fake friendship!
Re: Antislop: A framework for eliminating repetitive patterns in language models
#29I've been using ChatGPT fairly regularly for about a year. Mostly as an editor/brainstorming-partner/copy-reviewer. Lots of things have changed in that year, but the things that haven't are: * So, so many em-dashes. All over the place. (I've tried various ways to get it to stop. None of them have worked long term). * Random emojis. * Affirmations at the start of messages. ("That's a great idea!") With a brief pause w…
Or... How can you detect the usage of Claude models in a writeup? Look for the word comprehensive, especially if it's used multiple times throughout the article.
Re: Antislop: A framework for eliminating repetitive patterns in language models
#30There will be an intersection when the techniques and continued refinements in making tall tale signs of AI and new powerful model meets where it becomes very time consuming, expensive and difficult to tell between human generated and AI generated content.
We are already at a point where we can trick large number of the population, it can without a doubt close the gap even further where we question anything and everything.
Beyond forensics, which require large capital investment and operating costs, to be able to detect AI vs human content will be limited in terms of access. It will be so that its not that we can't detect AI content anymore its that most people cannot afford the service to detect it and thus they lose interest.
This has side effect of making live performances by humans scarce and in valuable.