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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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    As someone who’s only used Telegram to chat with real people, this headline confuses me. I keep hearing about Telegram channels but all I find are scams.
  • OpenAI beats Elon Musk's Grok in AI chess tournament

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    AI dick measuring contest?
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    So while Utah punches above its weight in tech, St. Paul area absolutely dwarfs it in population. Surely they have a robust cybersecurity industry there... https://lecbyo.files.cmp.optimizely.com/download/fa9be256b74111efa0ca8e42e80f1a8f?sfvrsn=a8aa5246_2 Utah, #1 projected tech sector growth in the next decade, of all 50 states. Utah, #8 for tech sector % of entire state economy, of all 50 states. Minnesota? Doesn't crack top 10 for any metrics. Utah may not be the biggest or techiest state, but it is way more so than Minnesota. The National Guard just seems like a desperate move. Again, this is my argument, but you are only seeing desperation as due to incompetence, not due to... actual severity. When they're deployed, they take orders from the the federal military, Not actually true unless the Nat Guard has been given a direct command by the Pentagon. and at peace, monitoring foreign threats seems like a federal thing. ... which is why the FBI were called in, in addition to the Nat Guard being able to report up the military CoC. You call in the National Guard to put down a riot or something where you just need bodies, not for anything niche. I mean, you yourself have explained that the Nat Guard does have a CyberSec ability, and I've explained they also have the ability to potentially summon even greater CyberSec ability. I guess you would be surprised how involved the military is / can be in defending against national security threatening, critical infrastructure comprimising kinds of domestic threats. Remember Stuxnet? Yeah other people can do that to us now, we kinda uncorked the genie bottle on that one. Otherwise, just call a local cybersecurity firm to trace the attack and assess damage. It is not everyone's instinct or best practice to immediately hire a contracted firm to do things that government agencies can, and have a responsibility to do. If this was like, Amazon being comprimised, yeah I can see that being a more likely avenue, though if it was serious, they'd probably call in some or multiple forms of 'the Feds' as well. But this was a breach/compromise of a municipal network... thats a government thing. Not a private sector thing. EDIT: Also, you are acting like either you are unaware of the following, or ... don't think its real? https://en.wikipedia.org/wiki/Utah_Data_Center Kind of a really big deal in terms of Utah and the tech sector and the Federal government and... things that were totally illegal before the PATRIOT Act. Exabytes of storage. Exabytes. Utah literally is where the NSA is doing their damndest to make a hardcopy of literally all internet traffic and content. Given how classified this facility is, I wouldn't be surprised if their employees don't exactly show up in standard Utah employment figures.
  • JavaScript broke the web (and called it progress) - Jono Alderson

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    I was referring to how it affected website development, not UX. From my understanding of the article the author has noting against js, just how it affects the development process and architecture choices.
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    They are examples of complex and difficult tasks that humans are capable of when working together, implying through comparison reordering society is also achievable.
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    jimmydoreisalefty@lemmy.worldJ
    Damn, I heard this mentioned somewhere as well! I don't remember where, though... The CIA is also involved with the cartels in Mexico as well as certain groups in the Middle East. They like to bring "democracy" to many countries that won't become a pawn of the Western regime.
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    Their previous GPU used an old AMD GPU design if I recall correctly. I wonder if they have in-house stuff now.
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    paraphrand@lemmy.worldP
    Network Effects.