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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.

  • 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've never been fooled by their claims of it being intelligent.

    Its basically an overly complicated series of if/then statements that try to guess the next series of inputs.

  • 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.

    Thank You! Yes!

    So ... A-not-I? AD? What do we call it? LLM seems too specialised?

  • Thank You! Yes!

    So ... A-not-I? AD? What do we call it? LLM seems too specialised?

    I prefer the term "sophisticated text completion".

  • Thank You! Yes!

    So ... A-not-I? AD? What do we call it? LLM seems too specialised?

    AS - artificial stupidity

    ASS - artificial super stupidity

  • 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.

    Artificial Intelligent is supposed to be intelligent.

    Calling LLMs intelligent is where it's wrong.

  • I've never been fooled by their claims of it being intelligent.

    Its basically an overly complicated series of if/then statements that try to guess the next series of inputs.

    ChatGPT 2 was literally an Excel spreadsheet.

    I guesstimate that it's effectively a supermassive autocomplete algo that uses some TOTP-like factor to help it produce "unique" output every time.

    And they're running into issues due to increasingly ingesting AI-generated data.

    Get your popcorn out! 🍿

  • 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.

    Philosophers are so desperate for humans to be special.
    How is outputting things based on things it has learned any different to what humans do?

    We observe things, we learn things and when required we do or say things based on the things we observed and learned. That's exactly what the AI is doing.

    I don't think we have achieved "AGI" but I do think this argument is stupid.

  • Thank You! Yes!

    So ... A-not-I? AD? What do we call it? LLM seems too specialised?

    Autocomplete on steroids, but suffering dementia.

  • Artificial Intelligent is supposed to be intelligent.

    Calling LLMs intelligent is where it's wrong.

    Artificial Intelligent is supposed to be intelligent.

    For the record, AI is not supposed to be intelligent.

    It just has to appear intelligent. It can be all smoke-and-mirrors, giving the impression that it's smart enough - provided it can perform the task at hand.

    That's why it's termed artificial intelligence.

    The subfield of Artificial General Intelligence is another story.

  • Philosophers are so desperate for humans to be special.
    How is outputting things based on things it has learned any different to what humans do?

    We observe things, we learn things and when required we do or say things based on the things we observed and learned. That's exactly what the AI is doing.

    I don't think we have achieved "AGI" but I do think this argument is stupid.

    Most people, evidently including you, can only ever recycle old ideas. Like modern "AI". Some of us can concieve new ideas.

  • Philosophers are so desperate for humans to be special.
    How is outputting things based on things it has learned any different to what humans do?

    We observe things, we learn things and when required we do or say things based on the things we observed and learned. That's exactly what the AI is doing.

    I don't think we have achieved "AGI" but I do think this argument is stupid.

    Yes, the first step to determining that AI has no capability for cognition is apparently to admit that neither you nor anyone else has any real understanding of what cognition* is or how it can possibly arise from purely mechanistic computation (either with carbon or with silicon).

    Given the paramount importance of the human senses and emotion for consciousness to “happen”

    Given? Given by what? Fiction in which robots can't comprehend the human concept called "love"?

    *Or "sentience" or whatever other term is used to describe the same concept.

  • AS - artificial stupidity

    ASS - artificial super stupidity

    Both are good 👍

  • ChatGPT 2 was literally an Excel spreadsheet.

    I guesstimate that it's effectively a supermassive autocomplete algo that uses some TOTP-like factor to help it produce "unique" output every time.

    And they're running into issues due to increasingly ingesting AI-generated data.

    Get your popcorn out! 🍿

    And they’re running into issues due to increasingly ingesting AI-generated data.

    There we go. Who coulda seen that coming! While that's going to be a fun ride, at the same time companies all but mandate AS* to their employees.

  • 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.

    Steve Gibson on his podcast, Security Now!, recently suggested that we should call it "Simulated Intelligence". I tend to agree.

  • 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.

    Good luck. Even David Attenborrough can't help but anthropomorphize. People will feel sorry for a picture of a dot separated from a cluster of other dots.
    The play by AI companies is that it's human nature for us to want to give just about every damn thing human qualities.
    I'd explain more but as I write this my smoke alarm is beeping a low battery warning, and I need to go put the poor dear out of its misery.

  • Philosophers are so desperate for humans to be special.
    How is outputting things based on things it has learned any different to what humans do?

    We observe things, we learn things and when required we do or say things based on the things we observed and learned. That's exactly what the AI is doing.

    I don't think we have achieved "AGI" but I do think this argument is stupid.

    No it’s really not at all the same. Humans don’t think according to the probabilities of what is the likely best next word.

  • ChatGPT 2 was literally an Excel spreadsheet.

    I guesstimate that it's effectively a supermassive autocomplete algo that uses some TOTP-like factor to help it produce "unique" output every time.

    And they're running into issues due to increasingly ingesting AI-generated data.

    Get your popcorn out! 🍿

    I really hate the current AI bubble but that article you linked about "chatgpt 2 was literally an Excel spreadsheet" isn't what the article is saying at all.

  • Artificial Intelligent is supposed to be intelligent.

    For the record, AI is not supposed to be intelligent.

    It just has to appear intelligent. It can be all smoke-and-mirrors, giving the impression that it's smart enough - provided it can perform the task at hand.

    That's why it's termed artificial intelligence.

    The subfield of Artificial General Intelligence is another story.

    The field of artificial intelligence has also made incredible strides in the last decade, and the decade before that. The field of artificial general intelligence has been around for something like 70 years, and has made a really modest amount of progress in that time, on the scale of what they're trying to do.

  • Philosophers are so desperate for humans to be special.
    How is outputting things based on things it has learned any different to what humans do?

    We observe things, we learn things and when required we do or say things based on the things we observed and learned. That's exactly what the AI is doing.

    I don't think we have achieved "AGI" but I do think this argument is stupid.

    How is outputting things based on things it has learned any different to what humans do?

    Humans are not probabilistic, predictive chat models. If you think reasoning is taking a series of inputs, and then echoing the most common of those as output then you mustn't reason well or often.

    If you were born during the first industrial revolution, then you'd think the mind was a complicated machine. People seem to always anthropomorphize inventions of the era.

  • 185 Stimmen
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    Actually, nope! Claiming that you personally didn't learn with an IDE and that there are make-believe scenarios where one is not available is not actually addressing the argument. There really aren't any situations that make any sense at all where an IDE is not available. I've worked in literally the most strict and locked down environments in the world, and there is always approved software and tools to use... because duh! Of course there is, silly, work needs to get done. Unless you're talking about a coding 101 class or something academic and basic. Anyway, that's totally irrelevant regardless, because its PURE fantasy to have access to something like Claude and not have access to an IDE. So your argument is entirely flawed and invalid.
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    D
    theyll only stop selling politicians and block that
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    I think it would be best if that's a user setting, like dark mode. It would obviously be a popular setting to adjust. If they don't do that, there will doubtless be grease monkey and other scripts to hide it.
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    brewchin@lemmy.worldB
    If you're after text, there are a number of options. If you're after group voice, there are a number of options. You could mix and match both, but "where everyone else is" will also likely be a factor in that kind of decision. If you want both together, then there's probably just Element (Matrix + voice)? Not sure of other options that aren't centralised, where you're the product, or otherwise at obvious risk of enshittifying. (And Element has the smell of the latter to me, but that's another topic). I've prepared for Discord's inevitable "final straw" moment by setting up a Matrix room and maintaining a self-hosted Mumble server in Docker for my gaming buddies. It's worked when Discord has been down, so I know it works. Yet to convince them to test Element...
  • Airlines Are Selling Your Data to ICE

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    It’s not a loophole though.
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    It's extremely traceable. There is a literal public ledger if every single transaction.
  • CrowdStrike Announces Layoffs Affecting 500 Employees

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    This is where the magic of near meaningless corpo-babble comes in. The layoffs are part of a plan to aspirationally acheive the goal of $10b revenue by EoY 2025. What they are actually doing is a significant restructuring of the company, refocusing by outside hiring some amount of new people to lead or be a part of departments or positions that haven't existed before, or are being refocused to other priorities... ... But this process also involves laying off 500 of the 'least productive' or 'least mission critical' employees. So, technically, they can, and are, arguing that their new organizational paradigm will be so succesful that it actually will result in increased revenue, not just lower expenses. Generally corpos call this something like 'right-sizing' or 'refocusing' or something like that. ... But of course... anyone with any actual experience with working at a place that does this... will tell you roughly this is what happens: Turns out all those 'grunts' you let go of, well they actually do a lot more work in a bunch of weird, esoteric, bandaid solutions to keep everything going, than upper management was aware of... because middle management doesn't acknowledge or often even understand that that work was being done, because they are generally self-aggrandizing narcissist petty tyrants who spend more time in meetings fluffing themselves up than actually doing any useful management. Then, also, you are now bringing on new, outside people who look great on paper, to lead new or modified apartments... but they of course also do not have any institutional knowledge, as they are new. So now, you have a whole bunch of undocumented work that was being done, processes which were being followed... which is no longer being done, which is not documented.... and the new guys, even if they have the best intentions, now have to spend a quarter or two or three figuring out just exactly how much pre-existing middle management has been bullshitting about, figuring out just how much things do not actually function as they ssid it did... So now your efficiency improving restructuring is actually a chaotic mess. ... Now, this 'right sizing' is not always apocalyptically extremely bad, but it is also essentially never totally free from hiccups... and it increases stress, workload, and tensions between basically everyone at the company, to some extent. Here's Forbes explanation of this phenomenon, if you prefer an explanation of right sizing in corpospeak: https://www.forbes.com/advisor/business/rightsizing/
  • WhatsApp provides no cryptographic management for group messages

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    Just be sure to add only the people you want to be there. I've heard some people add others and it's a bit messy