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I'm looking for an article showing that LLMs don't know how they work internally

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  • We're on the same page about consciousness then. My original comment only pointed out that current AI have problems that we have because they replicate how we work and it seems that people don't like recognising that very obvious fact that we have the exact problems that LLMs have. LLMs aren't rational because we inherently are not rational. That was the only point I was originally trying to make.

    For AGI or UGI to exist, massive hurdles will need to be made, likely an entire restructuring of it. I think LLMs will continue to get smarter and likely exceed us but it will not be perfect without a massive rework.

    Personally and this is pure speculation, I wouldn't be surprised if AGI or UGI is only possible with the help of a highly advanced AI. Similar to how microbiologist are only now starting to unravel protein synthesis with the help of AI. I think the shear volume of data that needs processing requires something like a highly evolved AI to understand, and that current technology is purely a stepping stone for something more.

    We don't have the same problems LLMs have.

    LLMs have zero fidelity. They have no - none - zero - model of the world to compare their output to.

    Humans have biases and problems in our thinking, sure, but we're capable of at least making corrections and working with meaning in context. We can recognise our model of the world and how it relates to the things we are saying.

    LLMs cannot do that job, at all, and they won't be able to until they have a model of the world. A model of the world would necessarily include themselves, which is self-awareness, which is AGI. That's a meaning-understander. Developing a world model is the same problem as consciousness.

    What I'm saying is that you cannot develop fidelity at all without AGI, so no, LLMs don't have the same problems we do. That is an entirely different class of problem.

    Some moon rockets fail, but they don't have that in common with moon cannons. One of those can in theory achieve a moon landing and the other cannot, ever, in any iteration.

  • LOL you didn't really make the point you thought you did. It isn't an "improper comparison" (it's called a false equivalency FYI), because there isn't a real distinction between information and this thing you just made up called "basic action on data", but anyway have it your way:

    Your comment is still exactly like saying an audio pipeline isn't really playing music because it's actually just doing basic math.

    I was channeling the Interstellar docking computer (“improper contact” in such a sassy voice) 😉

    There is a distinction between data and an action you perform on data (matrix maths, codec algorithm, etc.). It’s literally completely different.

    An audio codec (not a pipeline) is just actually doing math - just like the workings of an LLM. There’s plenty of work to be done after the audio codec decodes the m4a to get to tunes in your ears. Same for an LLM, sandwiching those matrix multiplications that make the magic happen are layers that crunch the prompts and assemble the tokens you see it spit out.

    LLMs can’t think, that’s just the fact of how they work. The problem is that AI companies are happy to describe them in terms that make you think they can think to sell their product! I literally cannot be wrong that LLMs cannot think or reason, there’s no room for debate, it’s settled long ago. AI companies will string the LLMs together and let them chew for a while to try make themselves catch when they’re dropping bullshit. It’s still not thinking and reasoning though. They can be useful tools, but LLMs are just tools not sentient or verging on sentient

  • Do LLMs not exhibit emergent behaviour? But who am I, a simple skin-bag of chemicals, to really say.

    They do not, and I, a simple skin-bag of chemicals (mostly water tho) do say

  • People that can not do Matrix multiplication do not possess the basic concepts of intelligence now? Or is software that can do matrix multiplication intelligent?

    So close, LLMs work via matrix multiplication, which is well understood by many meat bags and matrix math can’t think. If a meat bag can’t do matrix math, that’s ok, because the meat bag doesn’t work via matrix multiplication. lol imagine forgetting how to do matrix multiplication and disappearing into a singularity or something

  • To write the second line, the model had to satisfy two constraints at the same time: the need to rhyme (with "grab it"), and the need to make sense (why did he grab the carrot?). Our guess was that Claude was writing word-by-word without much forethought until the end of the line, where it would make sure to pick a word that rhymes. We therefore expected to see a circuit with parallel paths, one for ensuring the final word made sense, and one for ensuring it rhymes.

    Instead, we found that Claude plans ahead. Before starting the second line, it began "thinking" of potential on-topic words that would rhyme with "grab it". Then, with these plans in mind, it writes a line to end with the planned word.

    🙃 actually read the research?

    No, they’re right. The “research” is biased by the company that sells the product and wants to hype it. Many layers don’t make think or reason, but they’re glad to put them in quotes that they hope peeps will forget were there.

  • So close, LLMs work via matrix multiplication, which is well understood by many meat bags and matrix math can’t think. If a meat bag can’t do matrix math, that’s ok, because the meat bag doesn’t work via matrix multiplication. lol imagine forgetting how to do matrix multiplication and disappearing into a singularity or something

    Well, on the other hand. Meat bags can't really do neuron stuff either, despite that is essential for any meat bag operation. Humans are still here though and so are dogs.

  • The environmental toll doesn’t have to be that bad. You can get decent results from single high-end gaming GPU.

    You can, but the stuff that’s really useful (very competent code completion) needs gigantic context lengths that even rich peeps with $2k GPUs can’t do. And that’s ignoring the training power and hardware costs to get the models.

    Techbros chasing VC funding are pushing LLMs to the physical limit of what humanity can provide power and hardware-wise. Way less hype and letting them come to market organically in 5/10 years would give the LLMs a lot more power efficiency at the current context and depth limits. But that ain’t this timeline, we just got VC money looking to buy nuclear plants and fascists trying to subdue the US for the techbro oligarchs womp womp

  • I was channeling the Interstellar docking computer (“improper contact” in such a sassy voice) 😉

    There is a distinction between data and an action you perform on data (matrix maths, codec algorithm, etc.). It’s literally completely different.

    An audio codec (not a pipeline) is just actually doing math - just like the workings of an LLM. There’s plenty of work to be done after the audio codec decodes the m4a to get to tunes in your ears. Same for an LLM, sandwiching those matrix multiplications that make the magic happen are layers that crunch the prompts and assemble the tokens you see it spit out.

    LLMs can’t think, that’s just the fact of how they work. The problem is that AI companies are happy to describe them in terms that make you think they can think to sell their product! I literally cannot be wrong that LLMs cannot think or reason, there’s no room for debate, it’s settled long ago. AI companies will string the LLMs together and let them chew for a while to try make themselves catch when they’re dropping bullshit. It’s still not thinking and reasoning though. They can be useful tools, but LLMs are just tools not sentient or verging on sentient

    There is a distinction between data and an action you perform on data (matrix maths, codec algorithm, etc.). It’s literally completely different.

    Incorrect. You might want to take an information theory class before speaking on subjects like this.

    I literally cannot be wrong that LLMs cannot think or reason, there’s no room for debate, it’s settled long ago.

    Lmao yup totally, it's not like this type of research currently gets huge funding at universities and institutions or anything like that 😂 it's a dead research field because it's already "settled". (You're wrong 🤭)

    LLMs are just tools not sentient or verging on sentient

    Correct. No one claimed they are "sentient" (you actually mean "sapient", not "sentient", but it's fine because people commonly mix these terms up. Sentience is about the physical senses. If you can respond to stimuli from your environment, you're sentient, if you can "I think, therefore I am", you're sapient). And no, LLMs are not sapient either, and sapience has nothing to do with neural networks' ability to mathematically reason or use logic, you're just moving the goalpost. But at least you moved it far enough to be actually correct?

  • There is a distinction between data and an action you perform on data (matrix maths, codec algorithm, etc.). It’s literally completely different.

    Incorrect. You might want to take an information theory class before speaking on subjects like this.

    I literally cannot be wrong that LLMs cannot think or reason, there’s no room for debate, it’s settled long ago.

    Lmao yup totally, it's not like this type of research currently gets huge funding at universities and institutions or anything like that 😂 it's a dead research field because it's already "settled". (You're wrong 🤭)

    LLMs are just tools not sentient or verging on sentient

    Correct. No one claimed they are "sentient" (you actually mean "sapient", not "sentient", but it's fine because people commonly mix these terms up. Sentience is about the physical senses. If you can respond to stimuli from your environment, you're sentient, if you can "I think, therefore I am", you're sapient). And no, LLMs are not sapient either, and sapience has nothing to do with neural networks' ability to mathematically reason or use logic, you're just moving the goalpost. But at least you moved it far enough to be actually correct?

    It’s wild, we’re just completely talking past each other at this point! I don’t think I’ve ever gotten to a point where I’m like “it’s blue” and someone’s like “it’s gold” so clearly. And like I know enough to know what I’m talking about and that I’m not wrong (unis are not getting tons of grants to see “if AI can think”, no one but fart sniffing AI bros would fund that (see OP’s requested source is from an AI company about their own model), research funding goes towards making useful things not if ChatGPT is really going through it like the rest of us), but you are very confident in yourself as well. Your mention of information theory leads me to believe you’ve got a degree in the computer science field. The basis of machine learning is not in computer science but in stats (math). So I won’t change my understanding based on your claims since I don’t think you deeply know the basis just the application. The focus on using the “right words” as a gotchya bolsters that vibe. I know you won’t change your thoughts based on my input, so we’re at the age-old internet stalemate! Anyway, just wanted you to know why I decided not to entertain what you’ve been saying - I’m sure I’m in the same boat from your perspective 😉

  • It’s wild, we’re just completely talking past each other at this point! I don’t think I’ve ever gotten to a point where I’m like “it’s blue” and someone’s like “it’s gold” so clearly. And like I know enough to know what I’m talking about and that I’m not wrong (unis are not getting tons of grants to see “if AI can think”, no one but fart sniffing AI bros would fund that (see OP’s requested source is from an AI company about their own model), research funding goes towards making useful things not if ChatGPT is really going through it like the rest of us), but you are very confident in yourself as well. Your mention of information theory leads me to believe you’ve got a degree in the computer science field. The basis of machine learning is not in computer science but in stats (math). So I won’t change my understanding based on your claims since I don’t think you deeply know the basis just the application. The focus on using the “right words” as a gotchya bolsters that vibe. I know you won’t change your thoughts based on my input, so we’re at the age-old internet stalemate! Anyway, just wanted you to know why I decided not to entertain what you’ve been saying - I’m sure I’m in the same boat from your perspective 😉

    loses the argument "we’re at the age-old internet stalemate!" LMAO

  • loses the argument "we’re at the age-old internet stalemate!" LMAO

    Indeed I did not, we’re at a stalemate because you and I do not believe what the other is saying! So we can’t move anywhere since it’s two walls. Buuuut Tim Apple got my back for once, just saw this now!: https://lemmy.blahaj.zone/post/27197259

    I’ll leave it at that, as thanks to that white paper I win! Yay internet points!

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    dasus@lemmy.worldD
    Look at the poster and make your own deductions whether this spam-bropagandist cares about how accurate their spam is.
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  • Reddit executive Roxy Young is departing the social media company

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    Sinking ship.
  • matrix is cooked

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    penguin202124@sh.itjust.worksP
    That's very fair. Better start contributing I guess.
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    Obviously the law must be simple enough to follow so that for Jim’s furniture shop is not a problem nor a too high cost to respect it, but it must be clear that if you break it you can cease to exist as company. I think this may be the root of our disagreement, I do not believe that there is any law making body today that is capable of an elegantly simple law. I could be too naive, but I think it is possible. We also definitely have a difference on opinion when it comes to the severity of the infraction, in my mind, while privacy is important, it should not have the same level of punishments associated with it when compared to something on the level of poisoning water ways; I think that a privacy law should hurt but be able to be learned from while in the poison case it should result in the bankruptcy of a company. The severity is directly proportional to the number of people affected. If you violate the privacy of 200 million people is the same that you poison the water of 10 people. And while with the poisoning scenario it could be better to jail the responsible people (for a very, very long time) and let the company survive to clean the water, once your privacy is violated there is no way back, a company could not fix it. The issue we find ourselves with today is that the aggregate of all privacy breaches makes it harmful to the people, but with a sizeable enough fine, I find it hard to believe that there would be major or lasting damage. So how much money your privacy it's worth ? 6 For this reason I don’t think it is wise to write laws that will bankrupt a company off of one infraction which was not directly or indirectly harmful to the physical well being of the people: and I am using indirectly a little bit more strict than I would like to since as I said before, the aggregate of all the information is harmful. The point is that the goal is not to bankrupt companies but to have them behave right. The penalty associated to every law IS the tool that make you respect the law. And it must be so high that you don't want to break the law. I would have to look into the laws in question, but on a surface level I think that any company should be subjected to the same baseline privacy laws, so if there isn’t anything screwy within the law that apple, Google, and Facebook are ignoring, I think it should apply to them. Trust me on this one, direct experience payment processors have a lot more rules to follow to be able to work. I do not want jail time for the CEO by default but he need to know that he will pay personally if the company break the law, it is the only way to make him run the company being sure that it follow the laws. For some reason I don’t have my usual cynicism when it comes to this issue. I think that the magnitude of loses that vested interests have in these companies would make it so that companies would police themselves for fear of losing profits. That being said I wouldn’t be opposed to some form of personal accountability on corporate leadership, but I fear that they will just end up finding a way to create a scapegoat everytime. It is not cynicism. I simply think that a huge fine to a single person (the CEO for example) is useless since it too easy to avoid and if it really huge realistically it would be never paid anyway so nothing usefull since the net worth of this kind of people is only on the paper. So if you slap a 100 billion file to Musk he will never pay because he has not the money to pay even if technically he is worth way more than that. Jail time instead is something that even Musk can experience. In general I like laws that are as objective as possible, I think that a privacy law should be written so that it is very objectively overbearing, but that has a smaller fine associated with it. This way the law is very clear on right and wrong, while also giving the businesses time and incentive to change their practices without having to sink large amount of expenses into lawyers to review every minute detail, which is the logical conclusion of the one infraction bankrupt system that you seem to be supporting. Then you write a law that explicitally state what you can do and what is not allowed is forbidden by default.
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    douglasg14b@lemmy.worldD
    Did I say that it did? No? Then why the rhetorical question for something that I never stated? Now that we're past that, I'm not sure if I think it's okay, but I at least recognize that it's normalized within society. And has been for like 70+ years now. The problem happens with how the data is used, and particularly abused. If you walk into my store, you expect that I am monitoring you. You expect that you are on camera and that your shopping patterns, like all foot traffic, are probably being analyzed and aggregated. What you buy is tracked, at least in aggregate, by default really, that's just volume tracking and prediction. Suffice to say that broad customer behavior analysis has been a thing for a couple generations now, at least. When you go to a website, why would you think that it is not keeping track of where you go and what you click on in the same manner? Now that I've stated that I do want to say that the real problems that we experience come in with how this data is misused out of what it's scope should be. And that we should have strong regulatory agencies forcing compliance of how this data is used and enforcing the right to privacy for people that want it removed.
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    Exactly, we don’t know how the brain would adapt to having electric impulses wired right in to it, and it could adapt in some seriously negative ways.