![]() The release of GPT-4chan to the public caused a lot of reactions and responses from various audiences. He provided a link to his model’s page on Hugging Face, where anyone could access and use the model through a web interface or an API, and also provided a link to his GitHub repository, where anyone could download and inspect the model’s code and data. Likewise, he also said that he wanted to spark a discussion and a debate about the ethical and social implications of his project, and that he welcomed feedback and criticism from anyone. He wanted to share his work with the AI community and the public, and that he hoped that his model would inspire and enable others to create and explore new applications and possibilities with large language models. Īt the same time, Kilcher also made his model publicly available on Hugging Face, a platform for sharing and using AI models. Furthermore, he also wanted to test the model’s robustness, and to see how it would handle the challenges and dynamics of /pol/, such as trolling, flaming, baiting, and moderation. He wanted to conduct a natural experiment, and to observe the model’s behavior and impact in a real-world setting. He did not reveal the model’s identity, and that he let it run autonomously, without any human supervision or intervention. In June 2022, Kilcher deployed his model on the /pol/ board itself, using a bot that he programmed to post and reply to threads. He said that he was impressed by the model’s ability to generate fluent and diverse text, and that he was curious to see how it would interact with real /pol/ users. He also showed some examples of the model’s outputs, which ranged from political opinions, conspiracy theories, jokes, insults, and threats, to more creative and bizarre texts, such as poems, stories, songs, and code. Kilcher then proceeded to fine-tune the GPT-J model on the 4chan data. The Raiders of the Lost Kek dataset contained over 100 million posts from /pol/, spanning from June 2016-November 2019. Kilcher decided to use GPT-J as the base model for his project, and fine-tune it with a large dataset of /pol/ posts. ![]() He indicated that he was inspired by the success of GPT-3, a powerful AI model created by OpenAI, and GPT-J, an open-source version of GPT-3 that was released by EleutherAI, a group of independent AI researchers. Notably, at the time before the ChatGPT, he explained that he wanted to create a large language model that could generate realistic and coherent text in the style of /pol/, one of the most notorious online communities. The development of GPT-4chan began in May 2022, when Kilcher announced his project on his YouTube channel. Some of the issues raised by the GPT-4chan controversy include the potential harm of spreading hate speech, the responsibility of AI developers and platforms, the need for regulation and oversight of AI models, and the role of open source and transparency in AI research. The project sparked a lot of criticism and debate in the AI community and beyond, as many people questioned the ethics, legality, and social impact of creating and distributing such a model. He also made the model publicly available on Hugging Face, a platform for sharing and using AI models, until it was removed from the platform. Kilcher deployed the model on the /pol/ board itself, where it interacted with other users without revealing its identity. The model learned to mimic the style and tone of /pol/ users, producing text that is often intentionally offensive to groups (racist, sexist, homophobic, etc.) and nihilistic. 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 its hateful and extremist content. Generative Pre-trained Transformer 4Chan (GPT4-Chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. Large language model * Generative pre-trained transformer.
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