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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.

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    "Google study shows"
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    No. They're just providing statistically probable answers based on the information in their training models. Ask, "what size bolt do I need for the spinner in a 2012 Maytag dishwasher model ABC123?". It probably has the dishwasher manual in its training model, maybe even content from Maytag customer forums where multiple people asked this exact question, and so has a high probability of generating a correct answer. Ask it something more controversial or unique, where answers on similar questions are varied or rare, it will be less likely to generate an accurate answer because it has less data to pull from. They also "hallucinate", or generate answers that are entirely false and not directly written anywhere else. Like there have been a number of lawyers caught using an LLM to write their legal briefs, because the LLM reference sources that don't actually exist; it just made up Adam v Bob type case names.
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