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<blockquote data-quote="RangerWickett" data-source="post: 9291826" data-attributes="member: 63">Well, okay, the original poster asked us to keep this focused on the tech, not the ethics. My bad. I've got concerns, but I should start a separate thread about those.Sooooo, like, what other interesting discussions are to be had about how the technology works?Like, I heard a podcast talk about how one version of ChatGPT was asked to find a stable way to stack a book, a wine bottle, a dozen eggs, and a nail, and it managed to describe a 3 x 4 pattern of the eggs, atop which the book could sit flatly, and then the wine bottle could be put atop that, with the nail stuck into the cork. And the fact it could do that, despite it being likely such an arrangement had not occurred previously, made the podcasters curious how close the large language model's ability to label and associate words might be to how the human brain understands reality. My understanding is that current large scale computing generative software do not in any way 'understand' things, but is it possible to make a computer that could? Would it be useful if, like, your text generating program like ChatGPT could build a 3D map and have an understanding of how weights and surfaces interact when it comes to stacking things? Would it yield better writing that way? How could such a model be 'trained' on that stuff?</blockquote>

[QUOTE="RangerWickett, post: 9291826, member: 63"] Well, okay, the original poster asked us to keep this focused on the tech, not the ethics. My bad. I've got concerns, but I should start a separate thread about those. Sooooo, like, what other interesting discussions are to be had about how the technology works? Like, I heard a podcast talk about how one version of ChatGPT was asked to find a stable way to stack a book, a wine bottle, a dozen eggs, and a nail, and it managed to describe a 3 x 4 pattern of the eggs, atop which the book could sit flatly, and then the wine bottle could be put atop that, with the nail stuck into the cork. And the fact it could do that, despite it being likely such an arrangement had not occurred previously, made the podcasters curious how close the large language model's ability to label and associate words might be to how the human brain understands reality. My understanding is that current large scale computing generative software do not in any way 'understand' things, but is it possible to make a computer that could? Would it be useful if, like, your text generating program like ChatGPT could build a 3D map and have an understanding of how weights and surfaces interact when it comes to stacking things? Would it yield better writing that way? How could such a model be 'trained' on that stuff? [/QUOTE]

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