• FauxLiving
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    2 个月前

    “AI”

    Sharpening, Denoising and upscaling barely count as machine learning. They don’t require AI neural networks.

    • hushable
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      2 个月前

      Sharpening is a simple convolution, doesn’t even count as ML.

      I really hate that everything gets the AI label nowadays

      • FauxLiving
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        2 个月前

        The “ai bad” brainrot has everyone thinking that any algorithm is AI and all AI is ChatGPT.

        • hushable
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          2 个月前

          just today someone told me that Vocaloid was also AI music, they are either too dumb to make some basic fact-checking or true believers trying to hype up AI by any means necessary

        • CeeBee_Eh
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          2 个月前

          My simple rule is that if it uses a neural network model of some kind, then it can be accurately called AI.

        • ziggurat
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          2 个月前

          To be fair, back before ML natural language programming, non-tech folks often assumed coding was just telling the computer what you want in plain English. Today that’s what vibecoders do

    • CeeBee_Eh
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      2 个月前

      They don’t require AI neural networks.

      Sharpening and denoising don’t. But upscalers worth anything do require neural nets.

      Anything that uses a neural network is the definition of AI.

      • ccunix@sh.itjust.works
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        2 个月前

        Not true

        Company I used to work for had excellent upscalers running on FPGAs that they developed 20+ years ago.

        The algorithms have been there for years, just AI gives it bit of marketing sprinkle to something that has been a solved problem for years.

        • CeeBee_Eh
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          2 个月前

          Well, the algorithms that make up many neural networks have existed for over 60 years. It’s only recently that hardware has been able to make it happen.

          AI gives it bit of marketing sprinkle to something that has been a solved problem for years.

          Not true and I did say “any upscaler that’s worth anything”. Upscaling tech has existed at least since digital video was a thing. Pixel interpolation is the simplest and computationally easiest method. But it tends to give a slight hazy appearance.

          It’s actually far from a solved problem. There’s a constant trade-off beyond processing power and quality. And quality can still be improved by a lot.

          • rmuk@feddit.uk
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            2 个月前

            at least since digital video

            Right. Even back in the eighties UK broadcasters were “upscaling” American NTSC 480i60 shows to 576i50. The results were varied. High-ticket shows like Friends and Fraiser looked great, albeit a bit soft and oversaturated, while live news feeds looked terrible. If you’ve never seen it, The Day Today has a perfect example of what a lot of US programmes lookd like converted to PAL.

            • CeeBee_Eh
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              2 个月前

              Ya, I knew there were analogue “upscalers”, but I’m not familiar enough with them to confidently call them an upscaler vs a signal converter.

    • Preventer79@sh.itjust.works
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      2 个月前

      Barely count or not they absolutely ruin every piece of media I’ve seen them used in. They make people look like wax figures and turn text into gibberish.