• Bubs@lemm.ee
      link
      fedilink
      English
      arrow-up
      1
      ·
      34 minutes ago

      The way I see it, all these general LLMs and AIs are just the learning tools for the actual future use for ML.

      Companies are throwing money and research at them for easy gains, but once the bubble pops, most of them will be irrelevant and will die off. Once there’s no reason to “move fast and break things”, the actual slow and methodical research will start happening to find where ML belongs in this world.

      In the future, specialized companies will utilize all the research being done today to craft more focused tools that do things that machine learning is actually useful for.

      ML tech isn’t going away. It just needs to mature to the point where these useless bots aren’t worth the effort.

    • tal@lemmy.today
      link
      fedilink
      English
      arrow-up
      10
      arrow-down
      1
      ·
      8 hours ago

      I don’t think that we’re going to throw a little more hardware an one and it’s going to suddenly become an AGI, but that doesn’t mean that it doesn’t have considerable utility.

      Also, there are a bunch of “composite” systems that have been built in AI research that use multiple mechanisms. Even if you’re off trying to do human-level AI, you may use components in that system that are not themselves fully-capable of acting in such a way.

      Like, okay. Think of our own minds. We’ve got a bunch of hard-coded vision stuff, which is part of why we can get weird optical illusions. Our visual processing system isn’t an intelligence on its own, but it’s an important part of letting us function as humans in the world.