Search results
Results from the WOW.Com Content Network
For AI art generation, which generates images from text prompts, NovelAI uses a custom version of the source-available Stable Diffusion [2] [14] text-to-image diffusion model called NovelAI Diffusion, which is trained on a Danbooru-based [5] [1] [15] [16] dataset. NovelAI is also capable of generating a new image based on an existing image. [17]
3:10 p.m. Feb. 12, 2025: An earlier version of this story said the WGA was the first Hollywood guild to secure AI protections in its contract with studios. The Directors Guild of America got a ...
A Reddit employee restored the forum and its moderators an hour later. [226] [227] A 2020 review analyzing ten discussion boards on r/KotakuInAction suggested a connection between Gamergate and right-wing extremism (RWE). According to the review, the three main themes in these discussion boards were "RWE bigotry", "always anti-left" and "hate ...
"The Fappening" is a jocular portmanteau coined by combining the words "fap", an internet slang term for masturbation, and the title of the 2008 film The Happening.Though the term is a vulgarism originating either with the imageboards where the pictures were initially posted or Reddit, mainstream media outlets soon adopted the term themselves, such as the BBC.
A group of artists, volunteering as beta testers for OpenAI’s Sora video AI model, shared the API to access the model on Hugging Face in protest, calling out what they claim are exploitative ...
For premium support please call: 800-290-4726 more ways to reach us
Generative Pre-trained Transformer 4Chan (GPT-4chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. . The model is a large language model, which means it can generate text based on some input, by fine-tuning GPT-J with a dataset of millions of posts from the /pol/ board of 4chan, an anonymous online forum known for hosting ...
In statistics and machine learning, leakage (also known as data leakage or target leakage) is the use of information in the model training process which would not be expected to be available at prediction time, causing the predictive scores (metrics) to overestimate the model's utility when run in a production environment.