A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways.

The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission.
[…]
Zhao’s team also developed Glaze, a tool that allows artists to “mask” their own personal style to prevent it from being scraped by AI companies. It works in a similar way to Nightshade: by changing the pixels of images in subtle ways that are invisible to the human eye but manipulate machine-learning models to interpret the image as something different from what it actually shows.

  • joel_feila@lemmy.world
    link
    fedilink
    English
    arrow-up
    3
    arrow-down
    3
    ·
    1 year ago

    By that logic humanity isnt ready for personal computers since few understand how they work.

    • Zeth0s@lemmy.world
      link
      fedilink
      English
      arrow-up
      6
      ·
      edit-2
      1 year ago

      Kind of true. Check the law proposals on encryption around the world…

      Technology is difficult, most people don’t understand it, result is awful laws. AI is even more difficult, because even creators don’t fully understand it (see emergent behaviors, i.e. capabilities that no one expected).

      Computers luckily are much easier. A random teenager knows how to build one, and what it can do. But you are right, many are not yet ready even for computers

      • joel_feila@lemmy.world
        link
        fedilink
        English
        arrow-up
        3
        ·
        1 year ago

        I read an article the other day about managers complaining about zoomers not even knowing how type on a keyboard.

    • GenderNeutralBro@lemmy.sdf.org
      link
      fedilink
      English
      arrow-up
      4
      ·
      1 year ago

      That was certainly true in the 90s. Mainstream journalism on computers back then was absolutely awful. I’d say that only changed in the mid-2000 or 2010s. Even today, tech literacy in journalism is pretty low outside of specialist outlets like, say, Ars.

      Today I see the same thing with new tech like AI.