Nvidia scraped videos from Youtube and several other sources to compile training data for its AI products, internal Slack chats, emails, and documents obtained by 404 Media show.
When asked about legal and ethical aspects of using copyrighted content to train an AI model, Nvidia defended its practice as being “in full compliance with the letter and the spirit of copyright law.” Internal conversations at Nvidia viewed by 404 Media show when employees working on the project raised questions about potential legal issues surrounding the use of datasets compiled by academics for research purposes and YouTube videos, managers told them they had clearance to use that content from the highest levels of the company.
Emails from the project’s leadership to employees show that the goal of Cosmos (different from the company’s existing Cosmos deep learning product) was to build a state-of-the-art video foundation model “that encapsulates simulation of light transport, physics, and intelligence in one place to unlock various downstream applications critical to NVIDIA.”
Slack messages from inside a channel the company set up for the project show employees using an open-source YouTube video downloader called yt-dlp, combined with virtual machines that refresh IP addresses to avoid being blocked by YouTube. According to the messages, they were attempting to download full-length videos from a variety of sources including Netflix, but were focused on YouTube videos. Emails viewed by 404 Media show project managers discussing using 20 to 30 virtual machines in Amazon Web Services to download 80 years-worth of videos per day.
Imagine how different the story would be if they compensated people for this data. “10% off Geforce NOW if you let us use your gameplay footage as training data!” (for example)
This is obviously cheaper and there’s way more data to train with, but it just continues to skirt a line in copyright law that desperately needs to be tested.