I personally think it’s a lot of bs

  • @will_a113@lemmy.ml
    link
    fedilink
    English
    355 months ago

    ML =/= AI. There are legit uses for ML that don’t have anything to do with LLMs and the cloud. I worked on an ML project 3 or 4 years ago to listen for fan noise that might indicate that it was about to fail soon. We trained a tiny GAN on good and bad noises. It runs on a tiny CPU, locally. Highly specialized work, and I have to imagine there are and will continue to be lots of similar opportunities to bring efficiencies by getting computers to make good observations and decisions - even if only about “simple” things like “does this thing seem like it’s about to break?”

    • @Daxtron2
      link
      115 months ago

      ML literally is a subfield of AI

      • @will_a113@lemmy.ml
        link
        fedilink
        English
        15 months ago

        Fair enough. ML ⊆ AI then. But these days when everyone talking breathlessly about AI taking away jobs they’re almost always taking about LLMs. This article is about ML in particular which is a different discipline with different applications.

    • @Sanctus@lemmy.world
      link
      fedilink
      English
      45 months ago

      GANs are so much fun and so tedious. I trained one on dungeon generation in college. It sucked but it worked in the end mostly. I dont know exactly how an LLM works but GANs are way different.