According to a damning report from 404 Media, backed with internal Slack chats, emails, and documents obtained by the outlet, Nvidia helped itself to “a human lifetime visual experience worth of training data per day,” Ming-Yu Liu, vice president of Research at Nvidia and a Cosmos project leader, admitted in a May email.
Unnamed former Nvidia employees told 404 that they had been asked to scrape video content from Netflix, YouTube, and other online sources in order to obtain training data for use with the company’s various AI products. Those include Nvidia’s Omniverse 3D world generator, self-driving car systems, and “digital human.”
When those employees asked about the legality of the project, internally named Cosmos, they were assured by management that they had been given clearance by the highest levels of the company to use that content.
The project sought to build a foundation model, akin to Gemini 1.5, GPT-4, or Llama 3.1, “that encapsulates simulation of light transport, physics, and intelligence in one place to unlock various downstream applications critical to Nvidia.”
To do this, project Cosmos allegedly used an open-source video downloader and employed machine learning to IP hop, thereby avoiding YouTube’s attempts to block it. According to emails viewed by 404, project managers discussed using as many as 30 virtual machines running on Amazon Web Services to download 80 years’ worth of full-length and clip-length videos every day.
For its part, Nvidia claims no wrongdoing. “We respect the rights of all content creators and are confident that our models and our research efforts are in full compliance with the letter and the spirit of copyright law,” an Nvidia spokesperson told 404 Media via email. “Copyright law protects particular expressions but not facts, ideas, data, or information. Anyone is free to learn facts, ideas, data, or information from another source and use it to make their own expressions. Fair use also protects the ability to use a work for a transformative purpose, such as model training.”
This is far from the first time that Nvidia (not to mention a vast majority of the rest of the AI field) has taken a “scrape first and maybe ask forgiveness later” approach to its AI training efforts. In July, Nvidia was named in another report on illegal scraping of copyrighted videos alongside Anthropic and Salesforce.
At CES 2024, the company set off an internet firestorm with its ambiguous answers as to how its new generative AI for gaming engine was trained. In response, Nvidia reiterated that its tools were “commercially safe.”
Nearly a month after announcing the GPT-6.1 Sol model, OpenAI unveiled GPT-6.1 Terra today. The latest addition to the family focuses on computer use, visual reasoning, coding, and professional work, while costing 50% less through the API than GPT-5.6 Terra.
OpenAI says Terra can handle everything from filling out browser forms and working inside spreadsheets to interpreting technical drawings and editing videos. The company says it can also complete computer-based tasks more than three times faster than GPT-6 Astra and GPT-6.1 Sol.
ASUS has started selling its UGen Intel Arc Pro B70 graphics card in Europe, bringing its take on Intel’s workstation GPU to customers with a hefty €1,799 recommended price. The card is available in Germany and Austria, while ASUS lists it at CHF 1,799 in Switzerland.
Intel first introduced the Arc Pro B70 in March 2026, with its own branded model starting at $949. ASUS’s version arrives several months later with the same core GPU architecture but a different cooling design and a higher power rating. The price also places it well above Intel’s original starting point, although the two prices are not directly comparable because ASUS’s European figure includes VAT.
Anthropic has officially filed to go public, and buried inside its S-1 is a blunt warning about the technology at the center of its business. The maker of Claude AI says advanced AI could cause everything from large-scale cyberattacks and geopolitical instability to catastrophic or even existential risks for humanity.
The warnings take up a surprisingly large part of the filing. Axios notes that more than 90 pages, or roughly a third of the prospectus, focus on risk factors. Many of them warn about what could happen as AI systems become more capable and autonomous.