• WiildFiire@lemmy.world
      1·
      3 years ago

      It’ll be kept within product marketing and, I dunno how, but it would absolutely be used to see what they can raise prices on

    • CeeBee@lemmy.worlddeleted by creator
      1·
      3 years ago

      It’s getting there. In the next few years as hardware gets better and models get more efficient we’ll be able to run these systems entirely locally.

      I’m already doing it, but I have some higher end hardware.

        • CeeBee@lemmy.worlddeleted by creator
          1·
          3 years ago

          Stable diffusion SXDL Turbo model running in Automatic1111 for image generation.

          Ollama with Ollama-webui for an LLM. I like the Solar:7b model. It’s lightweight, fast, and gives really good results.

          I have some beefy hardware that I run it on, but it’s not necessary to have.

  • theneverfox@pawb.socialEnglish
    2·
    3 years ago

    AI could do this. Conventional programming could do it faster and better, even if it was written by AI.

    It’s an important concept to grasp

  • AeonFelis@lemmy.worldEnglish
    1·
    3 years ago

    I’m sure there are companies who’d love to develop something like this. And collect that information about exactly what groceries you currently have and statistics of how you consume them, so they can sell it to advertisers. Not advertisers that sell these groceries, of course - for these the AI company could just make the AI buy them from suppliers that pay them.

  • MiDaBa@lemmy.ml
    1·
    3 years ago

    The bad news is the AI they’ll pay for will instead estimate your net worth and the highest price you’re likely to pay. They’ll then dynamicly change the price of things like groceries to make sure the price they’re charging will maximize their profits on any given day. That’s the AI you’re going to get.

  • BoastfulDaedra@lemmynsfw.comEnglish
    01·
    3 years ago

    We really need to stop calling things “AI” like it’s an algorithm. There’s image recognition, collective intelligence, neural networks, path finding, and pattern recognition, sure, and they’ve all been called AI, but functionally they have almost nothing to do with each other.

    For computer scientists this year has been a sonofabitch to communicate through.

    • CeeBee@lemmy.worlddeleted by creator
      1·
      3 years ago

      But “AI” is the umbrella term for all of them. What you said is the equivalent of saying:

      we really need to stop calling things “vehicles”. There’s cars, trucks, airplanes, submarines, and space shuttles and they’ve all been called vehicles, but functionally they have almost nothing to do with each other

      All of the things you’ve mentioned are correctly referred to as AI, and since most people do not understand the nuances of neural networks vs hard coded algorithms (and anything in-between), AI is an acceptable term for something that demonstrates results that comes about from a computer “thinking” and making shaved intelligent decisions.

      Btw, just about every image recognition system out there is a neural network itself or has a neural network in the processing chain.

      Edit: fixed an autocorrect typo

        • no banana@lemmy.world
          0·
          3 years ago

          What I’ve learned as a huge nerd is that people will take a term and use it as an umbrella term for shit and they’re always incorrect but there’s never any point in correcting the use because that’s the way the collective has decided words work and it’s how they will work.

          Now the collective has decided that AI is an umbrella term for executing “more complex tasks” which we cannot understand the technical workings of but need to get done.

    • d20bard@ttrpg.network
      0·
      3 years ago

      Computer vision is AI. If they literally want a robot eye to scan their cluttered pantry and figure out what is there, that’ll require some hefty neural net.

      Edit: seeing these downvotes and surprised at the tech illiteracy on lemmy. I thought this was a better informed community. Look for computer vision papers in CVPR, IJCNN, and AAAI and try to tell me that being able to understand the 3D world isn’t AI.

      • BoastfulDaedra@lemmynsfw.comEnglish
        01·
        3 years ago

        You’re very wrong.

        Computer vision is scanning the differentials of an image and determining the statistical likelihood of two three-dimensional objects being the same base mesh from a different angle, then making a boolean decision on it. It requires a database, not a neutral net, though sometimes they are used.

        A neutral net is a tool used to compare an input sequence to previous reinforced sequences and determine a likely ideal output sequence based on its training. It can be applied, carefully, for computer vision. It usually actually isn’t to any significant extent; we were identifying faces from camera footage back in the 90s with no such element in sight. Computer vision is about differential geometry.

        • danielbln@lemmy.world
          1·
          3 years ago

          Computer vision deals with how computers can gain high level understanding of images and videos. It involves much more than just object reconstruction. And more importantly, neural networks are a core component is just about any computer vision application since deep learning took off in the 2010s. Most computer vision is powered by some convolutional neural network or another.

          Your comment contains several misconceptions and overlooks the critical role of neural networks, particularly CNNs, which are fundamental to most contemporary computer vision applications.