Meta has scraped data from the most-trafficked domains on the internet —including news organizations, education platforms, niche forums, personal blogs, and even revenge porn sites—to train its artificial intelligence models, according to a leaked list obtained by Drop Site News.
By scraping data from roughly 6 million unique websites, including 100,000 of the top-ranked domains, Meta has generated millions of pages of content to use for Meta’s AI-training pipeline.
The sites that Meta scrapes consist of copyrighted content, pirated content, and adult videos, some of whose content is potentially illegally obtained or recorded, as well as news and original content from prominent outlets and content publishers.
They include mainstream businesses like Getty Images, Shopify, Shutterstock, but also extreme pornographic content, including websites advertising explicit sexual content and humiliation porn that exploits teenagers.
Correct - only the filesharing is against the law. Training is transformative use.
You can’t cram a billion images into one gigabyte. They’d be one byte each. What these models do is very different from the bootlegging you’re trying to make it sound like.