• geneva_convenience@lemmy.ml
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    3 days ago

    Can the blind anti LLM jerk stop already it’s the same 2024 2025 arguments. Agentic coding has massively improved this year even local open source LLM’s are getting good

    • Allero@lemmy.today
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      2 days ago

      You talk about it being “blind” right under exhaustive list of reasons why.

      The fact that these arguments appeared before doesn’t make them less true. Yes, the coding quality of LLMs has increased, and, notably, it stopped producing as many bugs all over the place, and even got to review bugs made by humans.

      But it doesn’t remove all other issues from the table, namely:

      • Issues of licensing and stolen code, potentially causing copyright problems which most open-source projects are poorly fit to resolve and may go down because of them
      • Environmental impact of model training, huge data centers threatening water supplies, producing tons of e-waste, creating noise pollution, increasing power demand, including one from unclean sources at the critical point when we should reduce it as much as possible
      • Deterioration in skill level of human coders and lack of avenues for juniors to learn to code properly, which is likely to stay as an essential thing to have
      • Outside coding, there are many ethical issues around companies producing LLM models, as many have ties to the military and police, and are heavily misused to fuel fascist regimes
      • And more.
      • geneva_convenience@lemmy.ml
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        2 days ago

        Issues of licensing and stolen code, potentially causing copyright problems which most open-source projects are poorly fit to resolve and may go down because of them

        What, we care about licenses and copyright now?

        Big tech has stolen all code and now everything it “open source”. You’re not going to get into legal trouble for using LLM generated code there’s no precedent for that. The only ones getting sued are the big tech companies who stole the code.

        Environmental impact of model training, huge data centers threatening water supplies, producing tons of e-waste, creating noise pollution, increasing power demand, including one from unclean sources at the critical point when we should reduce it as much as possible

        Sure but that’s mostly them training a gazillion new models. You could ban models from providers that are doing all these things and thus promote more efficient models.

        Deterioration in skill level of human coders and lack of avenues for juniors to learn to code properly, which is likely to stay as an essential thing to have

        Valid but understanding architecture and delegating writing the code and especially tests is becoming much more important than just artisan writing it these days.

        Outside coding, there are many ethical issues around companies producing LLM models, as many have ties to the military and police, and are heavily misused to fuel fascist regimes

        Like I said there’s local models as well. China puts out plenty of great open weight stuff like GLM5.3 which will likely have to run in the cloud but it’s still open weight.

        • Allero@lemmy.today
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          2 days ago

          I see your point. I don’t think China-made local models are panacea by any means though, even through it’s good they try to make it more efficient instead of just throwing gazillions and watching the world burn. It is still a very massive, very problematic operation.

          Running LLMs locally, especially considering the pace of development, is just going to distribute the e-waste issue and make parts availability even worse, as I doubt your average hardware would be busy around the clock as it is in data centers (and so we’ll need much more of it). It is better for some things (like privacy or reliability or screwing with incentives of those turning the economy and the world upside down for a quick grift), but it doesn’t solve the others.

          As per legal aspects, time will be our judge. I’d love not to give a damn about copyright, but it still exists.

          • geneva_convenience@lemmy.ml
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            2 days ago

            LLM’s can save tremendous time now. You see projects like C&C Generals running on a tablet, or Lego Racers on web which would require tonnes of manual labour and now they’re just a few LLM prompts. It’s gotten to the point these kind of projects which would have been multi-year undertakings in the past have become “unimpressive”

            Yes they’re not perfect and they do make mistakes. That’s why understanding architecture is more important than ever. But manual coding is really becoming a thing of the past. Agentic coding progress over the last year has pretty much solidified that. It’s still not perfect but it’s really good now.

            Any industry that throws billions of dollars into something will make progress and now that progress has been made there’s not much of a point in just resisting the tech itself. Therefore instead of pleading against all AI I believe it’s much better to plead for open weight or open source and efficient AI.

            The problem is like with the Luddites that you don’t own the machine (AI) and the largest companies want to keep full control over them. It’s a problem with the system ruling you not with the technology itself.

            • Allero@lemmy.today
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              2 days ago

              The technology is undoubtedly good. All technologies are, if you ask me. The problem is about externalities, but they do matter and cannot be viewed separately.

              Currently, as things stand, the development and, notably, use of the technology comes with a massive threat to several important areas. This is why many pieces of software that ban LLM contributions make a for now caveat.

              Relying on it now, under current circumstances, is dangerous and damaging, even if sometimes it is a tremendous help. It may get better once we have truly efficient models and training, do not reinvent the wheel from scratch 20 times over, do not screw entire economy over it, put guardrails on the use of technology against people, and have a cheap, resource-efficient, and long-relevant hardware to run it. But we’re not there yet. We’re going to space with a gunpowder barrel here. Workable? I guess. Reasonable? No.

              • geneva_convenience@lemmy.ml
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                2 days ago

                If the goal isn’t to oppose the technology but instead steer towards better use of the technology then that should be promoted. This blanket opposition means that we get fascists like DHH being the only ones to adopt LLM’s because for some reason the left has a hate boner for it.

    • mnemonicmonkeys@sh.itjust.works
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      3 days ago

      We’ll stop when the AI evangelists finally learn the idea of consent and quit trying to force AI down everyone’s throats nonstop.

      You want to shrivel up your brain with AI? Go ahead, you’re an adult (presumably) and I’m not your mom. Go access it through a browser or separate app. Quit trying to force it into my face by integrating it into the OS or DE. And while you’re at it, quit continually going “BuT dId YoU cOnSiDeR tHiS???1?” like a door-to-door salesman that jams their foot in the door so you can’t close it

      • geneva_convenience@lemmy.ml
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        2 days ago

        This is the exact opposite. Trying to ban AI from everything despite its use cases.

        Many people don’t know this but even Luddites didn’t oppose machinery. They simply opposed the ownership structure of it. So instead of saying “no LLM” you could say “Open-source/weight LLM’s allowed only”.

        • mnemonicmonkeys@sh.itjust.works
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          2 days ago

          This is the exact opposite. Trying to ban AI from everything despite its use cases.

          This is a pure, bold-faced lie. But this is nothing new from AI evangelists.

          This is about banning AI contributions from specific open-sourced projects. This is due to a number of legitimate concerns that are still not solved, such as maintainability and how AI development legally interacts with licenses such as the GPL

          You want to go and start an open sourced project that uses AI from the start? Go ahead, nothing is stopping you. You want to install AI programs on your OS? Go ahead, nobody is stopping you

          But don’t cram that bullshit into the OS itself. Doing so then forces AI onto everybody whether they want it or not, and that’s bullshit

          • geneva_convenience@lemmy.ml
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            2 days ago

            This is about banning AI contributions from specific open-sourced projects.

            Do you even know what Codeberg did?

            • mnemonicmonkeys@sh.itjust.works
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              2 days ago

              A single repo hub doesn’t want to host LLM-generated code. It’s not like there aren’t others that are friendly to LLM-code, including the largest one: GitHub. And GitHub will never ban LLM code, they’re too integrated with it. And Codeberg is just a specific Forgejo instance. Nothing is stopping you from hosting your own if you really want to.

              You’re taking a single instance of a provider adding an extra stipulation to their TOS and equating it to governments banning the use of LLM’s. It’s not, and the government isn’t going to be taking away your LLM. Quit acting like it is.

      • Allero@lemmy.today
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        2 days ago

        Do tankies tend to put “liberal” on anything they don’t like?

        I’m sorry, comrade, but that’s not how it works. There are many valid reasons people of all political backgrounds stand against using LLMs in (open-source) coding.

        Platforms and projects taking direct action on the matter is exactly what communists usually claim to support. They make change where they can, and rally for a bigger one.

        Ultimately, the most performative folks are those judging others without making something better themselves.

        • ☆ Yσɠƚԋσʂ ☆@lemmy.ml
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          2 days ago

          Weird how the only reasons you see articulated are ones deeply rooted in liberalism though.

          Ultimately, the most performative folks are those judging others without making something better themselves.

          I guess we can agree on something. People screeching about AI without actually doing anything productive are the worst.