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This is a list of disclosed AI generated images that are used in Wikipedia articles, for purposes other than explaining or demonstrating AI. These uses might need to be reviewed to make sure they are appropriate. No on-wiki discussion or consensus has determined to what extent AI images are acceptable, except in the context of upscaling ...
Welcome to WikiProject AI Cleanup—a collaboration to combat the increasing problem of unsourced, poorly written AI-generated content on Wikipedia. If you would like to help, add yourself as a participant in the project, inquire on the talk page , and see the to-do list .
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI).. However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
Right now, AI-generated images still usually have a strange, hyperreal quality and inconsistencies in the things they depict, including garbled text, awkward transitions between objects, and ...
Terms proposed included "AI garbage", "AI pollution", and "AI-generated dross". [5] 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. [7] Its early use has been noted among 4chan, Hacker News and YouTube commentators as a form of in-group slang. [7]
The vast majority of the synthetic images do not indicate in the posts or on the pages that they are AI-generated, even though Meta requires users to label AI-generated content on its platforms ...
A viral image shared on Threads purports to show Tesla CEO and owner of X, Elon Musk, in a short mesh shirt. View on Threads Verdict: False The claim is false, as content detection scans from Hive ...
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.