This AI hype cycle has dramatically distorted society's views of what's possible with image upscalers.

A judge in Washington state has blocked video evidence that’s been “AI-enhanced” from being submitted in a triple murder trial. And that’s a good thing, given the fact that too many people seem to think applying an AI filter can give them access to secret visual data.

  • Hackerman_uwu@lemmy.worldEnglish
    12·
    8 months ago

    LLMs (the models that “hallucinate” is most often used in conjunction with) are not Deep Learning normie.

      • Hackerman_uwu@lemmy.worldEnglish
        12·
        8 months ago

        I’m not going to bother arguing with you but for anyone reading this: the poster above is making a bad faith semantic argument.

        In the strictest technical terms AI, ML and Deep Learning are district, and they have specific applications.

        This insufferable asshat is arguing that since they all use fuel, fire and air they are all engines. Which’s isn’t wrong but it’s also not the argument we are having.

        @OP good day.

            • Bobby Turkalino@lemmy.yachtsEnglish
              1·
              8 months ago

              Ok but before you go, just want to make sure you know that this statement of yours is incorrect:

              In the strictest technical terms AI, ML and Deep Learning are district, and they have specific applications

              Actually, they are not the distinct, mutually exclusive fields you claim they are. ML is a subset of AI, and Deep Learning is a subset of ML. AI is a very broad term for programs that emulate human perception and learning. As you can see in the last intro paragraph of the AI wikipedia page (whoa, another source! aren’t these cool?), some examples of AI tools are listed:

              including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics

              Some of these - mathematical optimization, formal logic, statistics, and artificial neural networks - comprise the field known as machine learning. If you’ll remember from my earlier citation about artificial neural networks, “deep learning” is when artificial neural networks have more than one hidden layer. Thus, DL is a subset of ML is a subset of AI (wow, sources are even cooler when there’s multiple of them that you can logically chain together! knowledge is fun).

              Anyways, good day :)