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.
Always amused when leftist instances treat intellectual property like it’s real.
its not, but scraping is annoyingly resource intensive.
IP debate aside, LLM scrapers absolutely annihilate system resources. I host a wordpress site and before setting up cloudflare labyrinth my whole server would get ddos’d at least twice a day.