I want to let people know why I’m strictly against using AI in everything I do without sounding like an ‘AI vegan’, especially in front of those who are genuinely ready to listen and follow the same.

Any sources I try to find to cite regarding my viewpoint are either mild enough to be considered AI generated themselves or filled with extremist views of the author. I want to explain the situation in an objective manner that is simple to understand and also alarming enough for them to take action.

  • givesomefucks@lemmy.world
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    If it’s real life, just talk to them.

    If it’s online, especially here on lemmy, there’s a lot of AI brain rotted people who are just going to copy/paste your comments into a chatbot and you’re wasting time.

    They also tend to follow you around.

    They’ve lost so much of their brains to AI, that even valid criticism of AI feel like personal insults to them.

    • enchantedgoldapple@sopuli.xyzOP
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      They’ve lost so much of their brains to AI, that even valid criticism of AI feel like personal insults to them.

      That’s the issue. I do wish to warn me or even just inform them of what using AI recklessly could lead to.

      • givesomefucks@lemmy.world
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        Why care?

        You’re wanting to go out and argue with people and try to use logic when that part of their brain has literally atrophied.

        It’s not going to accomplish anything, and likely just drive them deeper into AI.

        Plenty of people that need help actually want it, put your energy towards that if you want to help people.

        • enchantedgoldapple@sopuli.xyzOP
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          The post is aimed at me facing situations where I state among people I know that I don’t use AI, followed by them asking why not. Instead of driving them out by stating “Just because” or get into jargons that are completely unbeknownst to them, I wish to properly inform them why I have made this decision and why they should too.

          I am also able to identify people to whom there’s no point discussing this. I’m not asking to convince them too.

          • givesomefucks@lemmy.world
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            I wish to properly inform them why I have made this decision and why they should too.

            You’re asking how to verbalize why you don’t like AI, but you won’t say why you don’t like AI…

            Let’s see if this helps, imagine someone asks you:

            I don’t like pizza, how do I tell people the reasons why I don’t like pizza?

            How the absolute fuck would you know how to explain it when you don’t know why they don’t like pizza?

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    Maybe trying to be objective is the wrong choice here? After all, it might sound preachy to those who are ignorant to the dangers of AI. Instead, it could be better to stay subjective in hopes to trigger self-reflection.

    Here are some arguments I would use for my own personal ‘defense’:

    • I like to do the work by myself because the challenge of doing it by my own is part of the fun, especially when I finally get that ‘Eureka!’ moment after especially tough ones. When I use AI, it just feels halfhearted because I just handed it to someone else, which doesn’t sit right with me.
    • when I work without AI, I tend to stumble over things that aren’t really relevant to what I’m doing, but are still fun to learn about and might be helpful sometimes else. With AI, I’m way too focused on the end result to even notice that stuff, which makes the work feel even more annoying.
    • when I decide to give up or realize I can’t be arsed with it, I usually seek out communities or professionals, because that way it’s either done professionally or I get a better sense of community, but overall feel like I’m supporting someone. With AI, I don’t get that feeling, but rather I only feel either inferior for not coming up with a result as fast as the AI does or frustrated because it either spews out bullshit or doesn’t get the point I’m aiming for.
    • enchantedgoldapple@sopuli.xyzOP
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      This is a brilliant idea! I was wondering whether talking subjectively would be detrimental to my point, but having it explained this way is so much better. I think the key point here is to not berate the other person for using AI in between this explanation.

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        It goes a bit further than just not berating. People often get defensive when you criticise something they like, which makes it harder to argue due to the other side suddenly treating the discussion as a fight. However by saying “it’s not for me” in a rather roundabout way you shift the focus away from “is it good/bad” and more about whether the other can empathise with your reasoning, and in turn reflect your view onto themselves and maybe realize that they didn’t notice something about their usage and feelings about AI that you already did.

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    If you want to explain your reasons ‘in good faith’ you should be honest, and not adopt other people’s reasons to argue the position you’ve already assumed.

    • aesthelete@lemmy.world
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      Yeah the wording on this is wrong. The closest adjacent (honest) question would be “how can I appear to be arguing in good faith when I have a predetermined position on this technology?”.

      EDIT:

      I don’t even like GenAI myself and that’s how this comes off.

      If you’re looking for reasons: (1) sustainability / ecology, (2) market concentration, (3) intellectual theft, (4) mediocre output, (5) lack of guardrails, (6) vendor lock-in, (7) appears to drive some people insane, (8) drives down the quality of the Internet overall, (9) de-skills the people that use it, (10) produces probabilistic outputs and yet is used in applications that require deterministic outputs…I could go on for a while.

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    A discussion in good faith means treating the person you are speaking to with respect. It means not having ulterior motives. If you are having the discussion with the explicit purpose of changing their minds or, in your words, “alarming them to take action” then that is by default a bad faith discussion.

    If you want to discuss with a pro-AI person in good faith, you HAVE to be open to changing your own mind. That is the whole point of a good faith discussion - but rather, you already believe you are correct, and are wanting to enter these discussions with objective ammunition to defeat somebody.

    How do you actually discuss in good faith? You ask for their opinions and are open to them, then you share your own in a respectful manner. You aren’t trying to ‘win’ you are just trying to understand and in turn, help others to understand your own POV.

    • 🔍🦘🛎@lemmy.world
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      Once you realize you can change your opinion about something after you learn about it, it’s like a super power. So many people only have the goal of proving themselves right or safeguarding their ego.

      It’s okay to admit a mistake. It’s normal to be wrong about things.

      • canofcam@lemmy.world
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        The problem is it’s incredible rare to find others that are willing to change their minds in return, so every discussion either involves you changing your mind, or the other person getting agitated.

    • krooklochurm@lemmy.ca
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      Chiming in here:

      Most of the arguments against ai - the most common ones being plagiarism, the ecological impact - are not things people making the arguments give a flying fuck about in any other area.

      Having issues with the material the model is trained on isn’t an issue with ai - it’s an issue with unethical training practices, copyright law, capitalism. These are all valid complaints, by the way, but they have nothing to do with the underlying technology. Merely with the way it’s been developed.

      For the ecological side of things, sure, ai uses a lot of power. Lots of data enters. So does the internet. Do you use that? So does the stock market. Do you use that? So do cars. Do you drive?

      I’ve never heard anyone say “we need less data centers” until ai came along. What, all the other data centers are totally fine but the ones being used for ai are evil? If you have an issue with the drastically increased power consumption for ai you should be able to argue a stance that is inclusive of all data centers - assuming it’s something you give a fuck about. Which you don’t.

      If a model, once trained, is being used entirely locally on someone’s personal pc - do you have an issue with the ecological footprint of that? The power has been used. The model is trained.

      It’s absolutely valid to have an issue with the increased power consumption used to train ai models and everything else but these are all issues with HOW and not the ontological arguments against the tech that people think they are.

      It doesn’t make any of these criticisms invalid, but if you refuse to understand the nuance at work then you aren’t arguing in good faith.

      If you enslave children to build a house then the issue isn’t that youre building a house, and it doesn’t mean houses are evil, the issue is that YOURE ENSLAVING CHILDREN.

      Like any complicated topic there’s nuance to it and anyone that refuses to engage with that and instead relies on dogmatic thinking isn’t being intellectually honest.

      • Frezik@lemmy.blahaj.zone
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        I’ve never heard anyone say “we need less data centers” until ai came along. What, all the other data centers are totally fine but the ones being used for ai are evil? If you have an issue with the drastically increased power consumption for ai you should be able to argue a stance that is inclusive of all data centers - assuming it’s something you give a fuck about. Which you don’t.

        AI data centers take up substantially more power than regular ones. Nobody was talking about spinning up nuclear reactors or buying out the next several years of turbine manufacturing for non-AI datacenters. Hell, Microsoft gave money to a fusion startup to build a reactor, they’ve already broken ground, but it’s far from proven that they can actually make net power with fusion. They actually think they can supply power by 2028. This is delusion driven by an impossible goal of reaching AGI with current models.

        Your whole post is missing out on the difference in scale involved. GPU power consumption isn’t comparable to standard web servers at all.

      • aesthelete@lemmy.world
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        For the ecological side of things, sure, ai uses a lot of power. Lots of data enters. So does the internet. Do you use that? So does the stock market. Do you use that? So do cars. Do you drive?

        There are many, many differences between AI data centers and ones that don’t have to run $500k GPU clusters. They require a lot less power, a lot less space, and a lot less cooling.

        Also you’re implying here that your debate opponents are being intellectually dishonest while using the same weasely arguments that people that argue in bad faith constantly employ.

        • krooklochurm@lemmy.ca
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          The fact that a gou data center uses more power than one that does not does not matter at all.

          You’re completely missing the point.

          The sum total of power usage for all non ai data centers is an ecological issue whether ai data centers use more, the same, or less power.

          All data centers have an ecological footprint, all use shitloads of power, and it doesn’t matter if one kind is worse than any other kind.

          This is exactly what I was trying to point out in my comment.

          If I take a shit in a canoe that’s a problem. Not an existential one but a problem. If I dump another ten pounds of shit in the canoe it doesn’t mean the first pound of shit goes away.

          If I dump two pounds of shit in the canoe then the first pound of shit is still in the canoe. The first pound of shit doesn’t stop being an issue because now there are two more.

          You can have an issue with shit in the canoe on principle, which is fine. Then it’s all problematic.

          But if you’re fine with having one pound of shit in the canoe, and find with three, but not okay with eleven, then the issue isn’t shit in the canoe, it’s the amount of shit in the canoe. They’re distinct issues.

          But it’s NOT intellectually honest to be okay with having one pound of shit in the canoe and not being okay with the other two. You can’t point at the two pounds of shit and say: this abominable! While ignoring the other pound of shit. Because it’s all shit.

          • aesthelete@lemmy.world
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            But it’s NOT intellectually honest to be okay with having one pound of shit in the canoe and not being okay with the other two. You can’t point at the two pounds of shit and say: this abominable! While ignoring the other pound of shit. Because it’s all shit.

            Sure, because that’s a terrible analogy.

            Gen AI data centers don’t just require more power and space, they require so much more power and space that they are driving up energy costs in the surrounding area and the data centers are becoming near impossible to build.

            People didn’t randomly become “anti-data center”. Many of them are watching their energy bills go up. I’m watching as they talk about building new coal plants to power “gigawatt” data centers.

            And it’s all so you can have more fucking chat bots.

          • Frezik@lemmy.blahaj.zone
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            When a family in the global south uses coal to cook their food, they release CO2. When a billionaire flies around the continent on a private jet, they also release CO2.

            Do you consider the two to be equivalent in need or output?

  • Jhex@lemmy.world
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    I’m just honest about it… “I don’t find it useful enough and do find it too harmful for the environment and society to use it”

    • runner_g@lemmy.blahaj.zone
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      And you then spend longer verifying the information its given you than you would have spent just looking it up to begin with.

  • FlashMobOfOne@lemmy.world
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    Very simple.

    It’s imprecise, and for your work, you’d like to be sure the work product you’re producing is top quality.

    • krooklochurm@lemmy.ca
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      If nothing is taken from anyone and no profit is made from a model trained on publicly accessible data - can you elaborate on how that constitutes theft?

      Actually - if 100% copy righted content is used to train a model, which is released for free and never monetized - is that theft?

      • Frezik@lemmy.blahaj.zone
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        People downloading stuff for personal use vs making money off of it are not the same at all. We don’t tend to condone people selling bootleg DVDs, either.

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        Publicly accessible does not mean it is free of copyright. Yes, copyright law in it’s current form sucks and is in dire need to get reformed, preferably close to the original duration (14+14 years). But as the law currently stands, those LLM parrots are based on illegally acquired data.

      • Katana314@lemmy.world
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        Publically accessible does not mean publically reusable. You can find a lot of classic songs on YouTube and in libraries. You can’t edit them into your Hollywood movie without paying royalties.

        Showing them to an AI for them to repeat the melody with 90% similarity is not a free cheat to get around that.

        This is in part why the GPL and other licenses exist. Linus didn’t just put up Linux and say “Do whatever!” He explicitly said “You MAY copy and modify this work, but it must keep this license, this ownership, and you may NOT sell the transformed work”. That is a critical part of many free licenses, to ensure people don’t abuse them.

        • krooklochurm@lemmy.ca
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          If nothing is taken from anyone and no profit is made from a model trained on publicly accessible data - can you elaborate on how that constitutes theft?

          Actually - if 100% copy righted content is used to train a model, which is released for free and never monetized - is that theft?

    • krooklochurm@lemmy.ca
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      Cool. So you’re in support of developing a model that financially compensates all of the rights holders used for its training data then?

      • Katana314@lemmy.world
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        Sort this one with the girlfriend’s “would you still love me if I was a worm” philosophy. It’s so far outside of reality it’s not worth considering.

  • captainlezbian@lemmy.world
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    I want my creations to be precisely what I intend to create. Generative Ai makes it easier to make something at the expense of building skills and seeing their results

  • iii@mander.xyz
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    In a way aren’t you asking “how can I be an AI vegan, without sounding like an AI vegan”?

    It’s OK to be an AI vegan if that’s what you want. :)

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      Stop trying to make AI Vegan work. It’s never going to stick. AFAIK this term is less than a week old and smuggly expecting everyone to have already assimilated it is bad enough, but it’s a shit descriptor that is trading in right leaning hatred of ‘woke’ and vegans are just a scape goat to you.

      Explain how AI haters or doubters cross over with Veganism at all as a comparison?

      • Evkob (they/them)@lemmy.ca
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        Explain how AI haters or doubters cross over with Veganism at all as a comparison?

        They’re both taking a moral stance regarding their consumption despite large swathes of society considering these choices to be morally neutral or even good. I’ve been vegan for almost a decade and dislike AI, and while I don’t think being anti-AI is quite as ostracizing as being vegan, the comparison definitely seems reasonable to me. The behaviour of rabid meat eaters and fervent AI supporters are also quite similar.

        • its_kim_love@lemmy.blahaj.zone
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          But there are other arguments against ai besides consumption of resources. The front facing LLMs are just the pitch. The police state is becoming more oppressive using AI tracking and identification. The military using AI to remote control drones and weapon systems is downright distopian. It feels like they’re trying to flatten the arguments against AI into only an environmental issue, making it easier to dismiss especially among the population that doesn’t give a shit about the environment.

        • rainbowbunny@slrpnk.net
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          The way the term is being used here though is to refer to vegans as preachy and annoying; it’s not a pro-vegan term. It’s just not a nice term to use as it ostracizes and belittles people fighting for rights.

      • iii@mander.xyz
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        For me this was the first time hearing it. And it made immediate perfect sense what OP meant. A pretty good analogy!

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        It seems to mean people who don’t consume AI content not use AI tools.

        My hypothesis is it’s a term coined by pro-AI people to make AI-skeptics sound bad. Vegans are one of the most hated groups of people, so associating people who don’t use AI with them is a huge win for pro-ai forces.

        Side note: do-gooder derogation ( https://en.wikipedia.org/wiki/Do-gooder_derogation ) is one of the saddest moves you can pull. If you find yourself lashing out at someone because they’re doing something good (eg: biking instead of driving, abstaining from meat) please reevaluate. Sit with your feelings if you have to.

        • BlameThePeacock@lemmy.ca
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          You say “pro-AI” like there’s a group of random people needing to convince others to use the tools.

          The general public tried them, and they’re using them pretty frequently now. Nobody is forcing people to use ChatGPT to figure out their Christmas shopping, but something like 40% of people have already or are planning on using it for that purpose this year. That’s from a recent poll by Leger.

          If they weren’t at the very least perceived as adding value, people wouldn’t be using them.

          I can say with 100% certainty that there are things I have used AI for that have saved me time and money.

          The Anti-AI crowd may as well be the same people that were Anti-Internet 25 years ago.

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            Of course people are using AI. It’s the default behavior of Google, the most popular web search. It confidently spits out falsehoods. This is not an improvement.

            And there are definitely people “needing to convince others to use the tools.”. Microsoft and Google et al are made of people. They’re running ads to get people to adopt it.

            Buying stuff online and email are useful stuff in ways LLMs can only dream of. It is a technology nowhere near as good as its hype.

            Furthermore , “the general public likes it” is a dubious metric for quality. People like all sorts of garbage. Heroin has its fans. I’m sure it’d have even more if it was free and highly advertised. Is that enough to prove it’s good? No. Other factors such as harm and accuracy matter, too.

      • dohpaz42@lemmy.world
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        It’s called a euphemism. We all know that a vegan is someone who does not use animal products (e.g. meat, eggs, dairy, leather, etc). By using AI in front of the term vegan, OP intimates that they do not use AI products.

        I suspect you’re smart enough to know this, but for some reason you’re being willfully obtuse.

        ~Then again, maybe not. 🤷‍♂️~

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          Oh hey, language is supposed make ideas easier to transmit. The term is fucking clunky, using AI is not akin to diet.

          Communicate clearer.

          • iii@mander.xyz
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            OP came up with the analogy. I understood quite well and caught up with it easily. Well done OP!

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    What is an “extremist view” in this context? Kill sam Altman? Lmao

    Welcome to the world of being an activist buddy. Vegans are doing it for a living being with consciousness. Your cause is just too, imo, but just like the vegan who feels motivated and justified in bringing up their views because, to them, it’s a matter of life and death you will be belittled and mocked by those who either genuinely disagree or who do recognize the issues you describe but do not have the courage or self control to change

    Start with speaking when it’s relevant. Note that this will not always win you fans. I recently spoke to my physician on this issue, who asked for consent for LLM transcription of audio session notes and automatic summarization. I am not morally opposed to such a thing for health care providers but I had many questions: how are records transmitted, stored, destroyed, does the model use any data fed into it or resultant summaries for seeding/reinforcement learning/refinement/updating internal embeddings/continual learning (this point is key bc the language I’ve seen about this shifts a lot, but basically do they feed your data back into the model to refine it further or do they have separate training and production models that allow for one to be “sanitary”), does the AI model come from the EMR provider (often Epic) or a 3rd party and if so is there a BAA, etc

    In my case my provider could answer exactly 0 (zero) of these so I refused consent and am actively monitoring to ensure they are continuing to not use it at subsequent appointments. They are a professional so they’ve remained professional but it’s created some tension. I get it; I work in healthcare myself and I’ve seen these tools demoed and have colleagues that use them. They save a fairly substantial amount of time and in some cases they even guarantee against insurance clawbacks, which is a tremendous security advantage for a healthcare provider. But you gotta know what you’re doing and even then you gotta accept that some people simply will be against it on principle, thems the breaks

  • venusaur@lemmy.world
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    The most reasonable explanation I’ve heard/read is that generative AI is based on stealing content from human creators. Just don’t use the word “slop” and you’ll be good.

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    What is your viewpoint?
    Mine, for example, is that not only I don’t need it at all but it doesn’t offer anything of value to me so I can’t think of any use for it.