• @TheFogan@programming.dev
      hexbear
      4
      6 months ago

      I do agree on the whole, It's the next phase of automation. The real problem stems from the fact that we hold onto the system where a tiny handful of people get the full benefit of the productivity, while the others are paid in time incriments which value goes down with demand, so as more jobs are automated or assisted (to allow more work with less people), supply demand devalues the labor.

      • @Overshoot2648@lemm.ee
        hexbear
        2
        6 months ago

        This is why I support worker ownership and cooperatives rather than corporate ownership. I think we need to shift towards a Mutualist economy rather than a Capitalist one.

    • Chemical Wonka@discuss.tchncs.de
      hexagon
      hexbear
      2
      edit-2
      6 months ago

      I agree with you and don't forget that Capitalism shouldn't be reformed as Social Democracy claims but it must be destroyed from head to toes

    • @blind3rdeye@lemm.ee
      cake
      hexbear
      1
      6 months ago

      That's a view I have for many things. The desire and possibility of, getting more money always distorts and corrupts. It makes pretty much everything worse by rewarding deception, externalised waste, and exploitation.

    • PM_ME_VINTAGE_30S [he/him]@lemmy.sdf.org
      hexbear
      2
      6 months ago

      I don't! I want people who are concerned about the misuse of AI, particularly by corporations and world governments, to learn how to use AI to fight back against our oppressors or at least make AI-powered technologies that are helpful for common people, and to archive how it works, particularly how it fails.

  • @Un4@lemm.ee
    hexbear
    3
    6 months ago

    Tried it on chat gpt 4, here what it thinks:

    This image is a collage that alternates between photos of Chihuahuas and blueberry muffins. The arrangement is such that it plays on the visual similarities between the two, with the muffins and parts of the Chihuahuas (likely their faces) mimicking each other in color and texture. This creates a humorous effect, as it can be initially challenging to differentiate between the muffins and the dogs.

    Starting from the top left corner and moving left to right, row by row:

    1. Blueberry muffin with spots resembling a dog's eyes and nose.
    2. Face of a Chihuahua with a similar coloration to the muffin.
    3. Blueberry muffin resembling the face of a Chihuahua.
    4. Chihuahua face with a light fur color matching the muffin's surface.
    5. Chihuahua face with dark eyes and nose similar to blueberry spots.
    6. Muffin with a pattern that resembles a Chihuahua's facial features.
    7. Chihuahua with an expression and coloring that echoes the appearance of a muffin.
    8. Muffin with blueberries and coloring that looks like a Chihuahua's face.
    9. Chihuahua with a facial expression and fur colors that mimic a muffin's texture.
    10. Muffin with blueberries mimicking the eyes and nose of a Chihuahua.
    11. Chihuahua with features that resemble the spots on a muffin.
    12. Muffin resembling a Chihuahua's face in color and texture.
    13. Close-up of a Chihuahua's face with colors similar to a blueberry muffin.
    14. Muffin with a pattern of blueberries resembling a Chihuahua's face.
    15. Chihuahua looking directly at the camera, with fur colors like a muffin.
    16. Two Chihuahuas close together, with their heads resembling muffin tops.
    • @letsgo@lemm.ee
      hexbear
      2
      6 months ago

      It's likely seen the image before. Try randomising the image, reversing some of them, altering the gamma, and adding some noise. See how it does then.

      • @Un4@lemm.ee
        hexbear
        1
        6 months ago

        It did make errors, also the training of it is old it's unlikely that it seen the images