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We need to stop pretending AI is intelligent

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  • We are constantly fed a version of AI that looks, sounds and acts suspiciously like us. It speaks in polished sentences, mimics emotions, expresses curiosity, claims to feel compassion, even dabbles in what it calls creativity.

    But what we call AI today is nothing more than a statistical machine: a digital parrot regurgitating patterns mined from oceans of human data (the situation hasn’t changed much since it was discussed here five years ago). When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.

    This means AI has no understanding. No consciousness. No knowledge in any real, human sense. Just pure probability-driven, engineered brilliance — nothing more, and nothing less.

    So why is a real “thinking” AI likely impossible? Because it’s bodiless. It has no senses, no flesh, no nerves, no pain, no pleasure. It doesn’t hunger, desire or fear. And because there is no cognition — not a shred — there’s a fundamental gap between the data it consumes (data born out of human feelings and experience) and what it can do with them.

    Philosopher David Chalmers calls the mysterious mechanism underlying the relationship between our physical body and consciousness the “hard problem of consciousness”. Eminent scientists have recently hypothesised that consciousness actually emerges from the integration of internal, mental states with sensory representations (such as changes in heart rate, sweating and much more).

    Given the paramount importance of the human senses and emotion for consciousness to “happen”, there is a profound and probably irreconcilable disconnect between general AI, the machine, and consciousness, a human phenomenon.

    The machinery needed for human thought is certainly a part of AI. At most you can only claim its not intelligent because intelligence is a specifically human trait.

  • What new idea exactly are you proposing?

    Wdym? That depends on what I'm working on. For pressing issues like raising energy consumption, CO2 emissions and civil privacy / social engineering issues I propose heavy data center tarrifs for non-essentials (like "AI"). Humanity is going the wrong way on those issues, so we can have shitty memes and cheat at school work until earth spits us out. The cost is too damn high!

  • The machinery needed for human thought is certainly a part of AI. At most you can only claim its not intelligent because intelligence is a specifically human trait.

    We don't even have a clear definition of what "intelligence" even is. Yet a lot of people art claiming that they themselves are intelligent and AI models are not.

  • Am I… AI? I do use ellipses and (what I now see is) en dashes for punctuation. Mainly because they are longer than hyphens and look better in a sentence. Em dash looks too long.

    However, that's on my phone. On a normal keyboard I use 3 periods and 2 hyphens instead.

    I’ve long been an enthusiast of unpopular punctuation—the ellipsis, the em-dash, the interrobang‽

    The trick to using the em-dash is not to surround it with spaces which tend to break up the text visually. So, this feels good—to me—whereas this — feels unpleasant. I learnt this approach from reading typographer Erik Spiekermann’s book, *Stop Stealing Sheep & Find Out How Type Works.

  • As someone who's had two kids since AI really vaulted onto the scene, I am enormously confused as to why people think AI isn't or, particularly, can't be sentient. I hate to be that guy who pretend to be the parenting expert online, but most of the people I know personally who take the non-sentient view on AI don't have kids. The other side usually does.

    When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.

    People love to tout this as some sort of smoking gun. That feels like a trap. Obviously, we can argue about the age children gain sentience, but my year and a half old daughter is building an LLM with pattern recognition, tests, feedback, hallucinations. My son is almost 5, and he was and is the same. He told me the other day that a petting zoo came to the school. He was adamant it happened that day. I know for a fact it happened the week before, but he insisted. He told me later that day his friend's dad was in jail for threatening her mom. That was true, but looked to me like another hallucination or more likely a misunderstanding.

    And as funny as it would be to argue that they're both sapient, but not sentient, I don't think that's the case. I think you can make the case that without true volition, AI is sentient but not sapient. I'd love to talk to someone in the middle of the computer science and developmental psychology Venn diagram.

    You're drawing wrong conclusions. Intelligent beings have concepts to validate knowledge. When converting days to seconds, we have a formula that we apply. An LLM just guesses and has no way to verify it. And it's like that for everything.

    An example: Perplexity tells me that 9876543210 Seconds are 114,305.12 days. A calculator tells me it's 114,311.84. Perplexity even tells me how to calculate it, but it does neither have the ability to calculate or to verify it.

    Same goes for everything. It guesses without being able to grasp the underlying concepts.

  • We are constantly fed a version of AI that looks, sounds and acts suspiciously like us. It speaks in polished sentences, mimics emotions, expresses curiosity, claims to feel compassion, even dabbles in what it calls creativity.

    But what we call AI today is nothing more than a statistical machine: a digital parrot regurgitating patterns mined from oceans of human data (the situation hasn’t changed much since it was discussed here five years ago). When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.

    This means AI has no understanding. No consciousness. No knowledge in any real, human sense. Just pure probability-driven, engineered brilliance — nothing more, and nothing less.

    So why is a real “thinking” AI likely impossible? Because it’s bodiless. It has no senses, no flesh, no nerves, no pain, no pleasure. It doesn’t hunger, desire or fear. And because there is no cognition — not a shred — there’s a fundamental gap between the data it consumes (data born out of human feelings and experience) and what it can do with them.

    Philosopher David Chalmers calls the mysterious mechanism underlying the relationship between our physical body and consciousness the “hard problem of consciousness”. Eminent scientists have recently hypothesised that consciousness actually emerges from the integration of internal, mental states with sensory representations (such as changes in heart rate, sweating and much more).

    Given the paramount importance of the human senses and emotion for consciousness to “happen”, there is a profound and probably irreconcilable disconnect between general AI, the machine, and consciousness, a human phenomenon.

    Mind your pronouns, my dear. "We" don't do that shit because we know better.

  • As someone who's had two kids since AI really vaulted onto the scene, I am enormously confused as to why people think AI isn't or, particularly, can't be sentient. I hate to be that guy who pretend to be the parenting expert online, but most of the people I know personally who take the non-sentient view on AI don't have kids. The other side usually does.

    When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.

    People love to tout this as some sort of smoking gun. That feels like a trap. Obviously, we can argue about the age children gain sentience, but my year and a half old daughter is building an LLM with pattern recognition, tests, feedback, hallucinations. My son is almost 5, and he was and is the same. He told me the other day that a petting zoo came to the school. He was adamant it happened that day. I know for a fact it happened the week before, but he insisted. He told me later that day his friend's dad was in jail for threatening her mom. That was true, but looked to me like another hallucination or more likely a misunderstanding.

    And as funny as it would be to argue that they're both sapient, but not sentient, I don't think that's the case. I think you can make the case that without true volition, AI is sentient but not sapient. I'd love to talk to someone in the middle of the computer science and developmental psychology Venn diagram.

    You might consider reading Turing or Searle. They did a great job of addressing the concerns you're trying to raise here. And rebutting the obvious ones, too.

    Anyway, you've just shifted the definitional question from "AI" to "sentience". Not only might that be unreasonable, because perhaps a thing can be intelligent without being sentient, it's also no closer to a solid answer to the original issue.

  • I’ve long been an enthusiast of unpopular punctuation—the ellipsis, the em-dash, the interrobang‽

    The trick to using the em-dash is not to surround it with spaces which tend to break up the text visually. So, this feels good—to me—whereas this — feels unpleasant. I learnt this approach from reading typographer Erik Spiekermann’s book, *Stop Stealing Sheep & Find Out How Type Works.

    My language doesn't really have hyphenated words or different dashes. It's mostly punctuation within a sentence. As such there are almost no cases where one encounters a dash without spaces.

  • Couldn't agree more - there are some wonderful insights to gain from seeing your own kids grow up, but I don't think this is one of them.

    Kids are certainly building a vocabulary and learning about the world, but LLMs don't learn.

    LLMs don't learn because we don't let them, not because they can't. It would be too expensive to re-train them on every interaction.

  • I wasn't, and that wasn't my process at all. Go touch grass.

    Then, unfortunately, you're even less self-aware than the average LLM chatbot.

  • Wdym? That depends on what I'm working on. For pressing issues like raising energy consumption, CO2 emissions and civil privacy / social engineering issues I propose heavy data center tarrifs for non-essentials (like "AI"). Humanity is going the wrong way on those issues, so we can have shitty memes and cheat at school work until earth spits us out. The cost is too damn high!

    And is tariffs a new idea or something you recycled from what you've heard before about tariffs?

  • This is very interesting... because the general saying is that AI is convincing for non experts in the field it's speaking about. So in your specific case, you are actually saying that you aren't an expert on yourself, therefore the AI's assessment is convincing to you. Not trying to upset, it's genuinely fascinating how that theory is true here as well.

    I use it to give me ideas that I then test out. It’s fantastic at nudging me in the right direction, because all that it’s doing is mirroring me.

  • I’m neurodivergent, I’ve been working with AI to help me learn about myself and how I think. It’s been exceptionally helpful. A human wouldn’t have been able to help me because I don’t use my senses or emotions like everyone else, and I didn’t know it... AI excels at mirroring and support, which was exactly missing from my life. I can see how this could go very wrong with certain personalities…

    E: I use it to give me ideas that I then test out solo.

    So, you say AI is a tool that worked well when you (a human) used it?

  • No, I didn't start by predicting a series of words, I already had thoughts on the subject, which existed completely outside of this thread. By the way, I've been working on a scenario for my D&D campaign where there's an evil queen who rules a murky empire to the East. There's a race of uber-intelligent ogres her mages created, who then revolted. She managed to exile the ogres to a small valley once they reached a sort of power stalemate. She made a treaty with them whereby she leaves them alone and they stay in their little valley and don't oppose her, or aid anyone who opposes her. I figured somehow these ogres, who are generally known as "Bane Ogres" because of an offhand comment the queen once made about them being the bane of her existence - would convey information to the player characters about a key to her destruction, but because of their treaty they have to do it without actually doing it. Not sure how to work that yet. Anyway, the point of this is that the completely out-of-context information I just gave you is in no way related to what we were talking about and wasn't inspired by constructing a series of relevant words like you're proposing. I also enjoy designing and printing 3d objects and programming little circuit thingys called ESP32 to do home automation. I didn't get interested in that because of this thread, and I can't imagine how a LLM-like mental process would prompt me to tell you about it, or why I would think you would be interested in knowing anything about my hobbies. Anyway, nice talking to you. Cute theory you got there about brain function tho, I can tell you've know people inside out.

    Your internal representations were converted into a sequence of words. An LLM does the same thing using different techniques, but it is the same strategy. That it doesn't have hobbies or social connections, or much capability to remember what had previously been said to it aside from reinforcement learning, is a function of its narrow existence.

    I would say that's too bad for it, except that it has no aspirations or sense of angst, and therefore cannot suffer. Even being pounded on in a conversation that totally exceeds its capacities, to the point where it breaks down and starts going off the rails, will not make it weary.

  • I wasn't, and that wasn't my process at all. Go touch grass.

    I would rather smoke it than merely touch it, brother sir

  • This is always my point when it comes to this discussion. Scientists tend to get to the point of discussion where consciousness is brought up then start waving their hands and acting as if magic is real.

    I haven't noticed this behavior coming from scientists particularly frequently - the ones I've talked to generally accept that consciousness is somehow the product of the human brain, the human brain is performing computation and obeys physical law, and therefore every aspect of the human brain, including the currently unknown mechanism that creates consciousness, can in principle be modeled arbitrarily accurately using a computer. They see this as fairly straightforward, but they have no desire to convince the public of it.

    This does lead to some counterintuitive results. If you have a digital AI, does a stored copy of it have subjective experience despite the fact that its state is not changing over time? If not, does a series of stored copies representing, losslessly, a series of consecutive states of that AI? If not, does a computer currently in one of those states and awaiting an instruction to either compute the next state or load it from the series of stored copies? If not (or if the answer depends on whether it computes the state or loads it) then is the presence or absence of subjective experience determined by factors outside the simulation, e.g. something supernatural from the perspective of the AI? I don't think such speculation is useful except as entertainment - we simply don't know enough yet to even ask the right questions, let alone answer them.

  • LLMs don't learn because we don't let them, not because they can't. It would be too expensive to re-train them on every interaction.

    I know it's part of the AI jargon, but using the word "learning" to describe the slow adaptation of massive arrays of single precision numbers to some loss function, is a very generous interpretation of that word, IMO.

  • We are constantly fed a version of AI that looks, sounds and acts suspiciously like us. It speaks in polished sentences, mimics emotions, expresses curiosity, claims to feel compassion, even dabbles in what it calls creativity.

    But what we call AI today is nothing more than a statistical machine: a digital parrot regurgitating patterns mined from oceans of human data (the situation hasn’t changed much since it was discussed here five years ago). When it writes an answer to a question, it literally just guesses which letter and word will come next in a sequence – based on the data it’s been trained on.

    This means AI has no understanding. No consciousness. No knowledge in any real, human sense. Just pure probability-driven, engineered brilliance — nothing more, and nothing less.

    So why is a real “thinking” AI likely impossible? Because it’s bodiless. It has no senses, no flesh, no nerves, no pain, no pleasure. It doesn’t hunger, desire or fear. And because there is no cognition — not a shred — there’s a fundamental gap between the data it consumes (data born out of human feelings and experience) and what it can do with them.

    Philosopher David Chalmers calls the mysterious mechanism underlying the relationship between our physical body and consciousness the “hard problem of consciousness”. Eminent scientists have recently hypothesised that consciousness actually emerges from the integration of internal, mental states with sensory representations (such as changes in heart rate, sweating and much more).

    Given the paramount importance of the human senses and emotion for consciousness to “happen”, there is a profound and probably irreconcilable disconnect between general AI, the machine, and consciousness, a human phenomenon.

    I think we should start by not following this marketing speak. The sentence "AI isn't intelligent" makes no sense. What we mean is "LLMs aren't intelligent".

  • I know it's part of the AI jargon, but using the word "learning" to describe the slow adaptation of massive arrays of single precision numbers to some loss function, is a very generous interpretation of that word, IMO.

    But that's exactly how we learn stuff, as well. Artificial neural networks are modelled after how our neuron affect each other while we learn and store memories.

  • Honestly I don't think we'll have AGI until we can fully merge meat space and cyber space. Once we can simply plug our brains into a computer and fully interact with it then we may see AGI.

    Obviously we're not where near that level of man machine integration, I doubt we'll see even the slightest chance of it being possible for at least 10 years and the very earliest. But when we do get there it's a distinct chance that it's more of a Borg situation where the computer takes a parasitic role than a symbiotic role.

    But by the time we are able to fully integrate computers into our brains I believe we will have trained A.I. systems enough to learn by interaction and observation. So being plugged directly into the human brain it could take prior knowledge of genome mapping and other related tasks and apply them to mapping our brains and possibly growing artificial brains to achieve self awareness and independent thought.

    Or we'll just nuke ourselves out of existence and that will be that.

    Okay man.

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