• superkret@feddit.org
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    2 months ago

    Why do I still have to work my boring job while AI gets to create art and look at boobs?

  • earmuff@lemmy.dbzer0.com
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    2 months ago

    Serious question: is there a way to get access to medical imagery as a non-student? I would love to do some machine learning with it myself, as I see lot’s of potential in image analysis in general. 5 years ago I created a model that was able to spot certain types of ships based only on satellite imagery, which were not easily detectable by eye and ignoring the fact that one human cannot scan 15k images in one hour. Similar use case with medical imagery - seeing the things that are not yet detectable by human eyes.

    • ilinamorato@lemmy.world
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      2 months ago

      It’s got a decent chunk of good uses. It’s just that none of those are going to make anyone a huge ton of money, so they don’t have a hype cycle attached. I can’t wait until the grifters get out and the hype cycle falls away, so we can actually get back to using it for what it’s good at and not shoving it indiscriminately into everything.

    • blackbirdbiryani@lemmy.world
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      2 months ago

      Honestly they should go back to calling useful applications ML (that is what it is) since AI is getting such a bad rap.

      • 0laura@lemmy.dbzer0.com
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        11 days ago

        machine learning is a type of AI. scifi movies just misused the term and now the startups are riding the hype trains. AGI =/= AI. there’s lots of stuff to complain about with ai these days like stable diffusion image generation and LLMs, but the fact that they are AI is simply true.

        • blackbirdbiryani@lemmy.world
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          11 days ago

          I mean it’s entirely an arbitrary distinction. AI, for a very long time before chatGPT, meant something like AGI. we didn’t call classification models ‘intelligent’ because it didn’t have any human-like characteristics. It’s as silly as saying a regression model is AI. They aren’t intelligent things.

    • Flyberius [comrade/them]@hexbear.net
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      2 months ago

      Honestly this is a pretty good use case for LLMs and I’ve seen them used very successfully to detect infection in samples for various neglected tropical diseases. This literally is what AI should be used for.

    • 0laura@lemmy.dbzer0.com
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      11 days ago

      it’s ai, it all is. the code that controls where the creepers in Minecraft go? AI. the tiny little neural network that can detect numbers? also AI! is it AGI? no. it’s still AI. it’s not that modern tech is stealing the term ai, scifi movies are the ones that started misusing it and cash grab startups are riding the hypetrain.

  • bluefishcanteen@sh.itjust.works
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    2 months ago

    This is a great use of tech. With that said I find that the lines are blurred between “AI” and Machine Learning.

    Real Question: Other than the specific tuning of the recognition model, how is this really different from something like Facebook automatically tagging images of you and your friends? Instead of saying "Here’s a picture of Billy (maybe) " it’s saying, “Here’s a picture of some precancerous masses (maybe)”.

    That tech has been around for a while (at least 15 years). I remember Picasa doing something similar as a desktop program on Windows.

    • Lets_Eat_Grandma@lemm.ee
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      2 months ago

      Everything machine learning will be called “ai” from now until forever.

      It’s like how all rc helicopters and planes are now “drones”

      People en masse just can’t handle the nuance of language. They need a dumb word for everything that is remotely similar.

    • pete_the_cat@lemmy.world
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      2 months ago

      It’s because AI is the new buzzword that has replaced “machine learning” and “large language models”, it sounds a lot more sexy and futuristic.

  • yesman@lemmy.world
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    2 months ago

    The most beneficial application of AI like this is to reverse-engineer the neural network to figure out how the AI works. In this way we may discover a new technique or procedure, or we might find out the AI’s methods are bullshit. Under no circumstance should we accept a “black box” explanation.

    • MystikIncarnate@lemmy.ca
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      2 months ago

      IMO, the “black box” thing is basically ML developers hand waiving and saying “it’s magic” because they know it will take way too long to explain all the underlying concepts in order to even start to explain how it works.

      I have a very crude understanding of the technology. I’m not a developer, I work in IT support. I have several friends that I’ve spoken to about it, some of whom have made fairly rudimentary machine learning algorithms and neural nets. They understand it, and they’ve explained a few of the concepts to me, and I’d be lying if I said that none of it went over my head. I’ve done programming and development, I’m senior in my role, and I have a lifetime of technology experience and education… And it goes over my head. What hope does anyone else have? If you’re not a developer or someone ML-focused, yeah, it’s basically magic.

      I won’t try to explain. I couldn’t possibly recall enough about what has been said to me, to correctly explain anything at this point.

      • stormeuh@lemmy.world
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        2 months ago

        And much before that it was rule-based machine learning, which was basically databases and fancy inference algorithms. So I guess “AI” has always meant “the most advanced computer science thing which looks kind of intelligent”. It’s only now that it looks intelligent enough to fool laypeople into thinking there actually is intelligence there.

    • TonyOstrich@lemmy.world
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      2 months ago

      This seems exactly like what I would have referred to as AI before the pandemic. Specifically Deep Learning image processing. In terms of something you can buy off the shelf this is theoretically something the Cognex Vidi Red Tool could be used for. My experience with it is in packaging, but the base concept is the same.

      Training a model requires loading images into the software and having a human mark them before having a very powerful CUDA GPU process all of that. Once the model has been trained it can usually be run on a fairly modest PC in comparison.

    • Captain Aggravated@sh.itjust.works
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      2 months ago

      It’s probably more “AI” than the LLMs we’ve been plagued with. This sounds more like an application of machine learning, which is a hell of a lot more promising.

      • reddithalation@sopuli.xyz
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        2 months ago

        AI and machine learning are very similar (if not identical) things, just one has been turned into a marketing hype word a whole lot more than the other.

        • Captain Aggravated@sh.itjust.works
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          2 months ago

          Machine learning is one of the many things that is referred to by “AI”, yes.

          My thought is the term “AI” has been overused to uselessness, from the nested if statements that decide how video game enemies move to various kinds of machine learning to large language models.

          So I’m personally going to avoid the term.

          • 0laura@lemmy.dbzer0.com
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            11 days ago

            AI == Computer Thingy that looks kinda “smart” to people that don’t understand it. it’s like rectangles and squares. you should use the more precise word (CNN, LLM, Stable diffusion) when applicable, just like with rectangles and squares

  • humbletightband@lemmy.dbzer0.com
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    2 months ago

    Haha I love Gell-Mann amnesia. A few weeks ago there was news about speeding up the internet to gazillion bytes per nanosecond and it turned out to be fake.

    Now this thing is all over the internet and everyone believes it.