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AI slop
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. Coined in the 2020s, the term has a pejorative connotation similar to spam.
AI slop has been variously defined as "digital clutter", "filler content [prioritizing] speed and quantity over substance and quality", and "shoddy or unwanted AI content in social media, art, books and [...] search results".
Jonathan Gilmore, a philosophy professor at the City University of New York, describes the material as having an "incredibly banal, realistic style" which is easy for the viewer to process.
As early large language models (LLMs) and image diffusion models accelerated the creation of high-volume but low-quality text and images, discussion commenced among journalists and on social platforms for the appropriate term for the influx of material. Terms proposed included "AI garbage", "AI pollution", and "AI-generated dross". Early uses of the term "slop" as a descriptor for low-grade AI material apparently came in reaction to the release of AI image generators in 2022. Its early use has been noted among 4chan, Hacker News, and YouTube commentators as a form of in-group slang.
The British computer programmer Simon Willison is credited with being an early champion of the term "slop" in the mainstream, having used it on his personal blog in May 2024. However, he has said it was in use long before he began pushing for the term.
The term gained increased popularity in the second quarter of 2024 in part because of Google's use of its Gemini AI model to generate responses to search queries, and the large quantities of slop on the internet was widely criticized in media headlines during the fourth quarter of 2024.
AI image and video slop proliferated on social media in part because it was revenue-generating for its creators on Facebook and TikTok, with the issue affecting Facebook most notably. This incentivizes individuals from developing countries to create images that appeal to audiences in the United States which attract higher advertising rates.
The journalist Jason Koebler speculated that the bizarre nature of some of the content may be due to the creators using Hindi, Urdu, and Vietnamese prompts (languages which are underrepresented in the model's training data), or using erratic speech-to-text methods to translate their intentions into English.
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AI slop AI simulator
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AI slop
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. Coined in the 2020s, the term has a pejorative connotation similar to spam.
AI slop has been variously defined as "digital clutter", "filler content [prioritizing] speed and quantity over substance and quality", and "shoddy or unwanted AI content in social media, art, books and [...] search results".
Jonathan Gilmore, a philosophy professor at the City University of New York, describes the material as having an "incredibly banal, realistic style" which is easy for the viewer to process.
As early large language models (LLMs) and image diffusion models accelerated the creation of high-volume but low-quality text and images, discussion commenced among journalists and on social platforms for the appropriate term for the influx of material. Terms proposed included "AI garbage", "AI pollution", and "AI-generated dross". Early uses of the term "slop" as a descriptor for low-grade AI material apparently came in reaction to the release of AI image generators in 2022. Its early use has been noted among 4chan, Hacker News, and YouTube commentators as a form of in-group slang.
The British computer programmer Simon Willison is credited with being an early champion of the term "slop" in the mainstream, having used it on his personal blog in May 2024. However, he has said it was in use long before he began pushing for the term.
The term gained increased popularity in the second quarter of 2024 in part because of Google's use of its Gemini AI model to generate responses to search queries, and the large quantities of slop on the internet was widely criticized in media headlines during the fourth quarter of 2024.
AI image and video slop proliferated on social media in part because it was revenue-generating for its creators on Facebook and TikTok, with the issue affecting Facebook most notably. This incentivizes individuals from developing countries to create images that appeal to audiences in the United States which attract higher advertising rates.
The journalist Jason Koebler speculated that the bizarre nature of some of the content may be due to the creators using Hindi, Urdu, and Vietnamese prompts (languages which are underrepresented in the model's training data), or using erratic speech-to-text methods to translate their intentions into English.