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> The advent of chatGPT had millions of people on the internet trying to downplay the intelligence of chatGPT by continuously trying to re-emphasize the things

> The advent of chatGPT had millions of people on the internet trying to downplay the intelligence of chatGPT by continuously trying to re-emphasize the things it gets wrong. This is a fundamental misunderstanding of the criticism. It is not that chatGPT is unreliable because chatGPT makes occasional errors. It is that chatGPT is not intelligent because the type of errors chatGPT makes are indicative of the fact that it is assembling text into forms that humans assign meaning to, and has no understanding of the relationship between the symbols and their referents, and therefore is not 'intelligent' qua intelligence.

HervalFreire 4y ago
>This is a fundamental misunderstanding of the criticism. And this a fundamental misunderstanding of the criticism of the criticism. The problem here is that yes the occasional errors demonstrate certain flaws in it's understanding of some topic. The issue is there are many times where it produces completely novel and creative output that could not have existed in the training data and can only be formulated through complete and understanding of the query it was given. Understanding of the world around us is not developed through the lens of a singular model or a singular piece of understanding. We build multiple models of the world and we have varying levels of understanding of each model. It is the same with chatGPT. The remarkable thing about chatGPT understands a huge portion of these models really really well. Case in point: https://www.engraved.blog/building-a-virtual-machine-inside/ https://www.engraved.blog/building-a-virtual-machine-inside/ There's literally no way it could do the above without understanding what you asked it to do. Read to the end. The end demonstrates awareness of self, relative to the context and task it was asked to perform. Yet people illogically claim that for some other topic because chatGPT failed to correctly model the topic it therefore MUST be flawed in ALL of it's understanding of the world. This claim is not logical.
- chordalkeyboard 4y ago
  > The problem here is that yes the occasional errors demonstrate certain flaws in it's understanding of some topic. No, they demonstrate that the machine does not understand. > The issue is there are many times where it produces completely novel and creative output that could not have existed in the training data and can only be formulated through complete and understanding of the query it was given. What have you done to eliminate the possibility that it assembled the words algorithmically and the solution generated is something the reader constructed by assigning meaning to the text response? If the answer "can only be formulated through complete and understanding of the query it was given" then you must have eliminated this possibility. > Understanding of the world around us is not developed through the lens of a singular model or a singular piece of understanding. We build multiple models of the world and we have varying levels of understanding of each model. It is the same with chatGPT. The remarkable thing about chatGPT understands a huge portion of these models really really well. Where is the evidence that chatGPT understands a thing? > There's literally no way it could do the above without understanding what you asked it to do. Read to the end. The end demonstrates awareness of self, relative to the context and task it was asked to perform. Thats an interpretation of the text output that you assigned based on what the words in the text mean to you. I could just as easily say that Harry Potter is self-aware. > Yet people illogically claim that for some other topic because chatGPT failed to correctly model the topic it therefore MUST be flawed in ALL of it's understanding of the world. This claim is not logical. I don't think you understand what we're discussing.
  - HervalFreire 4y ago
    >No, they demonstrate that the machine does not understand. But it doesn't prove that the machine does not understand everything period. It just doesn't understand the topic or query at hand. It does no say anything about whether the machine can UNDERSTAND other things. >What have you done to eliminate the possibility that it assembled the words algorithmically and the solution generated is something the reader constructed by assigning meaning to the text response? If the answer "can only be formulated through complete and understanding of the query it was given" then you must have eliminated this possibility. This is easily done. The possibility is eliminated through the sheer number of possible compositions of assembled words. It assembled the words in a certain way that by probability can only indicate understanding. >Where is the evidence that chatGPT understands a thing? By composing words in a novel way that can only be done through understanding of a complex concept. But this composition of words or EVEN a close approximation of this composition CANNOT ever exist in another data set on the internet. It takes one example of this for it to be proof that it understands. >Thats an interpretation of the text output that you assigned based on what the words in the text mean to you. I could just as easily say that Harry Potter is self-aware. No it's not. It's simply a composition of words that cannot be formulated without understanding. Harry Potter is obviously not self aware. But from the text of harry potter, WE can deduce that the thing that composed words to create Harry Potter understands what harry potter is. What composed the words to create Harry Potter? JK Rowling. >I don't think you understand what we're discussing. No it's just a sign of your own lack of understanding.
    - chordalkeyboard 4y ago
      > But it doesn't prove that the machine does not understand everything period. It just doesn't understand the topic or query at hand. It does no say anything about whether the machine can UNDERSTAND other things. No, the type of errors are indicative of a complete lack of understanding. That is the point. They are errors that a thinker with an incomplete understanding would never make. They are so garbled that not even a true believer such as yourself can find a way to shoehorn a possible interpretation of correctness into them; such that you are forced to admit that the machine is in error. Otherwise you and the other believers find an interpretation that fits and you conclude that the machine understands; revealing you yourself do not understand what 'understanding' really is. > This is easily done. The possibility is eliminated through the sheer number of possible compositions of assembled words. It assembled the words in a certain way that by probability can only indicate understanding. Thats nonsense. The machine assembles words in roughly the same probability that they occur in the training material. That is why it resembles sensible statements. The resemblance is superficial and exactly an artifact of this probability you find so compelling. > By composing words in a novel way that can only be done through understanding of a complex concept. You haven't eliminated the possibility of autopredict, merely ceased to consider it. > Harry Potter is obviously not self aware. There is more evidence for the sentience, self awareness, and understanding of concepts of Harry Potter than of chatGPT.

HervalFreire 4y ago

>This is a fundamental misunderstanding of the criticism. And this a fundamental misunderstanding of the criticism of the criticism. The problem here is that yes the occasional errors demonstrate certain flaws in it's understanding of some topic. The issue is there are many times where it produces completely novel and creative output that could not have existed in the training data and can only be formulated through complete and understanding of the query it was given. Understanding of the world around us is not developed through the lens of a singular model or a singular piece of understanding. We build multiple models of the world and we have varying levels of understanding of each model. It is the same with chatGPT. The remarkable thing about chatGPT understands a huge portion of these models really really well. Case in point: https://www.engraved.blog/building-a-virtual-machine-inside/ https://www.engraved.blog/building-a-virtual-machine-inside/ There's literally no way it could do the above without understanding what you asked it to do. Read to the end. The end demonstrates awareness of self, relative to the context and task it was asked to perform. Yet people illogically claim that for some other topic because chatGPT failed to correctly model the topic it therefore MUST be flawed in ALL of it's understanding of the world. This claim is not logical.

chordalkeyboard 4y ago
> The problem here is that yes the occasional errors demonstrate certain flaws in it's understanding of some topic. No, they demonstrate that the machine does not understand. > The issue is there are many times where it produces completely novel and creative output that could not have existed in the training data and can only be formulated through complete and understanding of the query it was given. What have you done to eliminate the possibility that it assembled the words algorithmically and the solution generated is something the reader constructed by assigning meaning to the text response? If the answer "can only be formulated through complete and understanding of the query it was given" then you must have eliminated this possibility. > Understanding of the world around us is not developed through the lens of a singular model or a singular piece of understanding. We build multiple models of the world and we have varying levels of understanding of each model. It is the same with chatGPT. The remarkable thing about chatGPT understands a huge portion of these models really really well. Where is the evidence that chatGPT understands a thing? > There's literally no way it could do the above without understanding what you asked it to do. Read to the end. The end demonstrates awareness of self, relative to the context and task it was asked to perform. Thats an interpretation of the text output that you assigned based on what the words in the text mean to you. I could just as easily say that Harry Potter is self-aware. > Yet people illogically claim that for some other topic because chatGPT failed to correctly model the topic it therefore MUST be flawed in ALL of it's understanding of the world. This claim is not logical. I don't think you understand what we're discussing.
- HervalFreire 4y ago
  >No, they demonstrate that the machine does not understand. But it doesn't prove that the machine does not understand everything period. It just doesn't understand the topic or query at hand. It does no say anything about whether the machine can UNDERSTAND other things. >What have you done to eliminate the possibility that it assembled the words algorithmically and the solution generated is something the reader constructed by assigning meaning to the text response? If the answer "can only be formulated through complete and understanding of the query it was given" then you must have eliminated this possibility. This is easily done. The possibility is eliminated through the sheer number of possible compositions of assembled words. It assembled the words in a certain way that by probability can only indicate understanding. >Where is the evidence that chatGPT understands a thing? By composing words in a novel way that can only be done through understanding of a complex concept. But this composition of words or EVEN a close approximation of this composition CANNOT ever exist in another data set on the internet. It takes one example of this for it to be proof that it understands. >Thats an interpretation of the text output that you assigned based on what the words in the text mean to you. I could just as easily say that Harry Potter is self-aware. No it's not. It's simply a composition of words that cannot be formulated without understanding. Harry Potter is obviously not self aware. But from the text of harry potter, WE can deduce that the thing that composed words to create Harry Potter understands what harry potter is. What composed the words to create Harry Potter? JK Rowling. >I don't think you understand what we're discussing. No it's just a sign of your own lack of understanding.
  - chordalkeyboard 4y ago
    > But it doesn't prove that the machine does not understand everything period. It just doesn't understand the topic or query at hand. It does no say anything about whether the machine can UNDERSTAND other things. No, the type of errors are indicative of a complete lack of understanding. That is the point. They are errors that a thinker with an incomplete understanding would never make. They are so garbled that not even a true believer such as yourself can find a way to shoehorn a possible interpretation of correctness into them; such that you are forced to admit that the machine is in error. Otherwise you and the other believers find an interpretation that fits and you conclude that the machine understands; revealing you yourself do not understand what 'understanding' really is. > This is easily done. The possibility is eliminated through the sheer number of possible compositions of assembled words. It assembled the words in a certain way that by probability can only indicate understanding. Thats nonsense. The machine assembles words in roughly the same probability that they occur in the training material. That is why it resembles sensible statements. The resemblance is superficial and exactly an artifact of this probability you find so compelling. > By composing words in a novel way that can only be done through understanding of a complex concept. You haven't eliminated the possibility of autopredict, merely ceased to consider it. > Harry Potter is obviously not self aware. There is more evidence for the sentience, self awareness, and understanding of concepts of Harry Potter than of chatGPT.