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.

  • mindbleach@sh.itjust.works
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    3 days ago

    Lemmy really hates piracy… in this specific context.

    And a lot of the extreme and extremist content going into these things is just Twitter. People post all kinds of shit from all kinds of places. At what point is this like clutching pearls over what the Internet Archive has saved? They’re trying to grab anything you could see.

    It’s not some hacking and exfiltration campaign. Meta’s just bad at spidering. How do you go breadth-first across the entire internet and still DDoS any particular site? You don’t decide to check every DeviantArt account, at the same time, you dolts.

    • who@feddit.org
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      3 days ago

      Lemmy really hates piracy… in this specific context.

      Specifically, Lemmy hates it when corporations profit by using people’s work without permission or payment, especially at a large scale.

      I don’t think Lemmy would complain about a poor student scraping a web page in order to learn something.

      • mindbleach@sh.itjust.works
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        3 days ago

        Seeking distinctions is pretense. They’re just shuffling cards.

        You can ask about models made from public-domain data, and most critics will not budge an inch. Mentioning copyright is working backwards from a gut feeling. The ones who say, sure, okay, it’d be different if– - maybe they have a consistent rationale. But even some of them haven’t examined how they’d feel about this technology, if all their complaints were addressed.

      • mindbleach@sh.itjust.works
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        3 days ago

        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.

    • pticrix@lemmy.ca
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      3 days ago

      “Lemmy really hates it when a corporation murders people, yet they never say anything about individuals who kill in legitimate defense of themselves”

      That’s pretty much how you sound, buddy.

      If the AI created was really useful and made open to all freely, a different song would be sung, you know.

      Right now, it is simply as useful as putting gas on a fire to extinguish it.

      • mindbleach@sh.itjust.works
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        3 days ago

        Arguments are easy when you make shit up.

        Anyone who’s not frothing mad about spicy autocomplete sounds like a murderer, says the shrillest kneejerk response in a competitive field.

        • pticrix@lemmy.ca
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          3 days ago

          Thinking it’s only about the LLMs is pretty reductive, though I guess it makes for an easily digestible statement.

          We don’t ask people to be mad about the tool, it’s about how we’re being told The Tool is the most important human endeavor, while the mass usage of The Tool has yet to prove more worthwhile than having a chat with a friend, all the while we create a lot of ethical, ecological and economical debt in order to keep evolving The Tool, and funneling most of the products of that debt into the hands of people who already have more than enough.

          So The Tool as of yet has had way more negative direct and side effects, by the combined effect of its (mis)use, its Herculean development and the massive, global pitch sale effort invested in deploying it to ubiquity, than any projected positive outcomes that comes out of the mass deployment and usage of The Tool.

          It has its very specialized used. It should have remained in the labs and backends where it belongs.

          This is what - to me, one of the Luddite who would rather stop this cancer from growing - we are mad about, and why, given the scale of things at this moment and what is projected, think people should be more in the know of the revolting realities that are not said in all those nice press releases and consumer expos.