I’m not sure if I just thought this up sitting on the tiles in my shower room or if I dreamt it, but still.

Edit: I’m being cynical and I hate our blind faith in and reliance on LLMs.

  • Doomsider@lemmy.world
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    6 hours ago

    It is the perfect tool for the rich, they can influence it, you can’t see how it makes its decisions, and it can’t be held liable.

    • klankin@piefed.ca
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      10 hours ago

      My favourite dystopian theories are always the ones it turns out america has already been doing for 150 years.

      Like the torment nexus ain’t just inspirational, its systemically foundational.

      Edit: Lmao someone else was creating credit score from first principals below

    • klankin@piefed.ca
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      10 hours ago

      I think thats OPs point, Ai doesn’t provide answers, it provides confidence.

      So when they get it wrong 99% of the time, it doesn’t actually matter cause we decided pleasing stakeholders is equivalent to actual success.

    • Rhynoplaz@lemmy.world
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      1 day ago

      That depends on if the AI was programmed to calculate or not. Clearly an LLM is not, but there are other forms of AI that are.

      • hoshikarakitaridia@lemmy.world
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        1 day ago

        This makes no sense.

        Neural networks inherently work in a probabilistic latent space. The whole point is that we have a definable problem and we are unable to apply any deterministic mathematical calculations to it. That’s why we call it a “black box problem” - we know what the solution looks like and we have a few examples of input and output data, but we don’t know what the method looks like. In fact, even if we have an AI we don’t know what the method looks like. If you wanna know more about this issue, look up explainable AI and you will find all the ways we have tried to come up with smart solutions like model heat maps to estimate their methodology. But these are all approximations.

        Now if you ask an LLM what method it used to get to a solution, it will try to work backwards using its own reasoning and context clues to give you what its best estimation of the methodology is but that’s not the same as its true methodology.

        For me (and most people of the machine learning field I am aware of) an AI is inherently worse at calculations. That’s what algorithms are for. And the only things sitting somewhere between an LLM and an algorithm are maybe Markov chains and randomforest. If there’s anything remotely close to an AI model that is good at calculations, I am all ears.

        • klankin@piefed.ca
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          10 hours ago

          Hell yeah I can be technically correct.

          Under some definitions of intelligence, any transformation of information is intelligence, for example even 1+1=2.

          So my math super ultra premium vbux AI discovery is the following python script:

          print("2")

          As per all test cases I’ve been able to conceive, this model has achieved a 100% success rate - and is definitively a major stepping stone to AGI (Is it now legally SGI in america?).

          I’ll expect my trillion in the mail.

        • webghost0101@sopuli.xyz
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          1 day ago

          I think your being a little to zoom in on the technicalities of modern day ai to tell the trees from the forest.

          I am a bundle of connected neurons, effectively a neural network, i can calculate just fine.

          Humans are “in general” horrible at doing math but thats besides the point of being capable of it.

          Modern humans have a calculator in their pocket and we use it as a tool to make our own conclusions. Like ways “current day” ai often has acces to a calculator tool to do the same. Sure this is not ai doing the actual math but in practice its the same as a human with a calculator.

          But the topic at hand is not even about current day ai but about hypotethical future ai that “somehow” is trusted enough to pull the plug on machines that keep a sick human alive.

          Such future ai. If it would ever exist would have acces to such tools, possibly more complex tools to calculate odds of survival using (hopefully) a formula with a great number of input variables to consider all kinds of situations.

          I would imagine such to be a known formula that humans could also independantly measure and calculate ending in a % chance of a survival. But somehow in this hypothetical future this would be a job given to ai.

          So the question is less can ai solve math and more can we trust ai to interptet humam measuring tools to then put those values in a known formula tool to then act appropriatly on the results of said tool, and not at any point misalign/hallucinate.

          • klankin@piefed.ca
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            10 hours ago

            Thats really funny that your way for an AI to solve a problem is have something else solve the problem then claim ownership.

            Like would it not be simpler in almost all cases to just use the tool directly?

            Otherwise youre introducing an intentionally difficult to quantify number of errors.

            • webghost0101@sopuli.xyz
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              10 hours ago

              Spoken like a peasant capable of critical thought.

              The corporate overlords who want to replace humans with ai don’t like workers who can think for themselves, they have zero interests in building better tools for humans.

              They dream of robot slaves who keep them unaccountable for any “accidents”

          • hoshikarakitaridia@lemmy.world
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            1 day ago

            Ok but then why call it AI?

            We don’t have to dream about a distant future to find a thing that can do math for us. It’s called a computer, and if it’s in our home, it might even be a personal computer. In fact, we have them smaller and faster, and they have fancy designs and can communicate to the world but it turns out they got a small chip inside that does a bunch of arithmetic binary operations and then a lot of them also have a chip inside them that can quickly operate on huge matrices of values. We call those cpus and gpus respectively.

            What I’m saying is, if it’s just a threshold of different values, we were capable of making such a machine already, even before AI. And if it’s an interpretative opinion, it turns out AI is notoriously bad at those.

            So the only thing an AI actually helps with is to do something when we don’t know how. But the issue was never how. Now there’s something to be said about the predictability of death but there’s an insane amount of compounding factors that contribute to this. An AI could maybe be trained on a subset of factors but the truth is, we don’t have good input and output data, that’s why AI won’t help us here.

            I’m not saying this to be pedantic, I’m making a point: even IF we decide that actually ethically it’s fine for a machine to decide when someone has to die - which is quite a big leap - even then an AI won’t be better than a human, so there’s no point. And there’s no way to make this look good, no way to sell this to the broader populus. I just don’t see any way where this scenario is possible, let alone probable.

            And I think that’s important, because it’s very easy to slide down this slippery slope, interpolate a time series forecast in our head and essentially conclude “it’s going downhill so the future must be what our average dystopia predicted” and I don’t think that’s right or even helpful. There’s quite a few things we should improve and our world is on the brink of a bigger societal change again, but change is never just bad. Change is an opportunity to improve the things that are important to us. And to do this, we need all the brilliant minds that see those issues to imagine those improvements, so we should make sure we know what needs to be done when we finally get the chance.

            • jet@hackertalks.com
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              21 hours ago

              Off topic- reading your comments today have been the highlight, really well done, thank you for contributing an increasing the discourse

            • printf("%s", name);@piefed.blahaj.zoneOP
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              17 hours ago

              And I think that’s important, because it’s very easy to slide down this slippery slope, interpolate a time series forecast in our head and essentially conclude “it’s going downhill so the future must be what our average dystopia predicted” and I don’t think that’s right or even helpful. There’s quite a few things we should improve and our world is on the brink of a bigger societal change again, but change is never just bad. Change is an opportunity to improve the things that are important to us. And to do this, we need all the brilliant minds that see those issues to imagine those improvements, so we should make sure we know what needs to be done when we finally get the chance.

              This is really beautiful. I just wish capitalism didn’t stand in the way of science, medicine and altruism.

  • farmgineer@nord.pub
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    22 hours ago

    it’ll become acceptable to us

    Speak for yourself. This is fully unacceptable.

  • Apeman42@lemmy.world
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    1 day ago

    Maybe it’ll be acceptable to you, if you’re a degenerate techbro ghoul…

  • ChicoSuave@lemmy.world
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    24 hours ago

    Estimated Time to Death (ETD) feels like a near future stat used to justify killing terminal patients.

    • GroundedGator@lemmy.world
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      22 hours ago

      And in a few decades we can start using Estimated Societal Contributions to determine how much a person’s entire life might be worth and at what point it becomes financially irresponsible to continue providing any sort of support.

      • klankin@piefed.ca
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        10 hours ago

        I think we started that a few decades ago with credit score?

        Like we don’t directly kill anyone I suppose, but definitely indirectly increase the odds when they are less helpful monetarily.

        Just for example with the gen Z suicide epidemic, by definition people are killing themselves not being killed. But to a company this is financially beneficial, cause a left-wing bias has on average resulted in more restrictive laws and a lower profit margin. It becomes an important business strategy to ensure they remain poor and anxious (and of course this causes some to be suicidal). Vice versa for boomers of course, elder care has never been better funded across human history.

        Or another example, credit score companies would be “throwing money away” if they weren’t also doing this for like union-oriented families, ie ensuring those who have statistically unionised (or follow any trends that might be too union-y), they’re marked less valuable.

        So they can kill people by letting them starve/OD/get in a car accident, or just shorten their lifespan with cheap housing, all without ever having to see a poor person.