• frezik@midwest.social
    link
    fedilink
    English
    arrow-up
    4
    arrow-down
    1
    ·
    edit-2
    3 hours ago

    AI as a field of computer science is mostly about pushing computers to do things they weren’t good at before. Recognizing colored blocks in an image was AI until someone figured out a good way to do it. Playing chess at grandmaster levels was AI until someone figured out how to do it.

    Along the way, it created a lot of really important tools. Things like optimizing compilers, virtual memory, and runtime environments. The way computers work today was built off of a lot of things out of the old MIT CSAIL labs. Saying “there’s no I to this AI” is an insult to their work.

    • ContrarianTrail@lemm.ee
      link
      fedilink
      English
      arrow-up
      1
      ·
      8 minutes ago

      Recognizing colored blocks in an image was AI until someone figured out a good way to do it. Playing chess at grandmaster levels was AI until someone figured out how to do it.

      You make it sound like these systems stopped being AI the moment they actually succeeded at what they were designed to do. When you play chess against a computer it’s AI you’re playing against.

      • frezik@midwest.social
        link
        fedilink
        English
        arrow-up
        1
        ·
        edit-2
        4 minutes ago

        That’s exactly what I’m getting at. AI is about pushing the boundary. Once the boundary is crossed, it’s not AI anymore.

        Those chess engines don’t play like human players. If you were to look at how they determine things, you might conclude they’re not intelligent at all by the same metrics that you’re dismissing ChatGPT. But at this point, they are almost impossible for humans to beat.