# AI Video Generator Runway Trained on Thousands YouTube Videos Without Permission Source: https://www.404media.co/runway-ai-image-generator-training-data-youtube Kiwi News: https://news.kiwistand.com/stories/AI-Video-Generator-Runway-Trained-on-Thousands-YouTube-Videos-Without-Permission?index=0x66a2a8bb7f6f2bd8f523313191571986019c4798f05b2ba3e8f346ecaf2554aea79edaa7 Submitted by misha on 2024-07-25 UTC, 1 upvote, 0 comments ## Summary According to 404 Media, Runway trained its AI video generator Gen-3 on thousands of videos scraped from popular YouTube creators and brands, as well as pirated films, without permission. The massive internal spreadsheet of training data that 404 Media obtained shows this, and the model, initially codenamed Jupiter, had drawn widespread praise after Runway released it in June. When TechCrunch asked co-founder Anastasis Germanidis about the training data, he did not give specifics, saying the company uses curated internal datasets. ## Article Subscribe Join the newsletter to get the latest updates. Great! Check your inbox and click the link. Please enter a valid email address. 🖥️ 404 Media is an independent website whose work is written, reported, and owned by human journalists and whose intended audience is real people, not AI scrapers, bots, or a search algorithm. Signing up gets you free access to this article. Learn why we require this here. A highly-praised AI video generation tool made by multi-billion dollar company Runway was secretly trained by scraping thousands of videos from popular YouTube creators and brands, as well as pirated films, according to a massive internal spreadsheet of training data obtained by 404 Media. The model—initially codenamed Jupiter and released officially as Gen-3—drew widespread praise from the AI development community and technology outlets covering its launch when Runway released it in June. Last year, Runway raised $141 million from investors including Google and Nvidia, at a $1.5 billion valuation. When Techcrunch asked Runway co-founder Anastasis Germanidis in June where the training data for Gen-3 came from, he would not offer specifics. “We have an in-house research team that oversees all of our training and we use curated, internal datasets to train our models,” Germanidis told Techcrunch. This post is for paid members only Become a paid member for unlimited ad-free access to articles, bonus podcast content, and more. Subscribe Sign up for free access to this post Free members get access to posts like this one along with an email round-up of our week's stories. Subscribe Already have an account? Sign in