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General Tabletop Discussion
*Dungeons & Dragons
Would It Matter To You if D&D Books Were Illustrated by AI Instead of Humans?
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<blockquote data-quote="EzekielRaiden" data-source="post: 8758323" data-attributes="member: 6790260"><p>At present, the absolute best AIs in the world, trained on literally <em>gigabytes</em> of raw text files, can manage about six or seven paragraphs before the text becomes <em>completely</em> unhinged.</p><p></p><p>I don't mean "ooh, you really notice the flaws." I mean that it starts talking straight-up bizarro weird stuff, like fourteen-horned unicorns, or repeatedly contradicting itself on what color something is, etc.</p><p></p><p>The problem is, the correlational structure upon which text-generation AI is built cannot handle the connections necessary for logical cohesion in a long-form work.* Combinatoric explosion takes over, and it scales much, <em>much</em> faster than technology can. We're currently still in the early days, where most of the limitations are in implementation, or training time, or learning the most effective ways of doing things. As it stands, writing even a single chapter of the kind of length expected of an RPG rulebook is completely impossible.</p><p></p><p>The irony, of course, is that it is <em>much</em> easier to fake images than it is to fake text. As the links others have given show, you can make completely realistic-looking (minus some eldritch horror side-faces and surrealist clothing/backgrounds) faces that are 100% fictitious. Making three pages of consistent, readable fiction? Completely impossible at present--and it's going to be hard to collect enough of a corpus to improve it much further. We've already used a scrape of <em>a large portion of the internet</em>. Where are we going to get the <em>data</em> to train GPT-4 on?</p><p></p><p>*<em>Really</em>, the problem is that "generative" text AIs, like GPT, are trying to substitute really, really, <em>really</em> complex correlation networks in place of actual <em>knowledge</em>. That is, they are trying to use a really, really, <em>really</em> complex model of English <em>syntax</em>--a model of "word X should come next, then word Y, then word Z, and NOT word B"--in order to successfully produce <em>semantic</em> content in English--that is, things which contain <em>meaning</em> to English speakers. That is, formally speaking, impossible. You cannot magic up semantic content from exclusively syntactic content. You can get some surprising, even shocking connections, you can get some truly impressive relationships. But you cannot derive the semantic from the syntactic, even in the limit of an infinitely complex syntactic model.</p></blockquote><p></p>
[QUOTE="EzekielRaiden, post: 8758323, member: 6790260"] At present, the absolute best AIs in the world, trained on literally [I]gigabytes[/I] of raw text files, can manage about six or seven paragraphs before the text becomes [I]completely[/I] unhinged. I don't mean "ooh, you really notice the flaws." I mean that it starts talking straight-up bizarro weird stuff, like fourteen-horned unicorns, or repeatedly contradicting itself on what color something is, etc. The problem is, the correlational structure upon which text-generation AI is built cannot handle the connections necessary for logical cohesion in a long-form work.* Combinatoric explosion takes over, and it scales much, [I]much[/I] faster than technology can. We're currently still in the early days, where most of the limitations are in implementation, or training time, or learning the most effective ways of doing things. As it stands, writing even a single chapter of the kind of length expected of an RPG rulebook is completely impossible. The irony, of course, is that it is [I]much[/I] easier to fake images than it is to fake text. As the links others have given show, you can make completely realistic-looking (minus some eldritch horror side-faces and surrealist clothing/backgrounds) faces that are 100% fictitious. Making three pages of consistent, readable fiction? Completely impossible at present--and it's going to be hard to collect enough of a corpus to improve it much further. We've already used a scrape of [I]a large portion of the internet[/I]. Where are we going to get the [I]data[/I] to train GPT-4 on? *[I]Really[/I], the problem is that "generative" text AIs, like GPT, are trying to substitute really, really, [I]really[/I] complex correlation networks in place of actual [I]knowledge[/I]. That is, they are trying to use a really, really, [I]really[/I] complex model of English [I]syntax[/I]--a model of "word X should come next, then word Y, then word Z, and NOT word B"--in order to successfully produce [I]semantic[/I] content in English--that is, things which contain [I]meaning[/I] to English speakers. That is, formally speaking, impossible. You cannot magic up semantic content from exclusively syntactic content. You can get some surprising, even shocking connections, you can get some truly impressive relationships. But you cannot derive the semantic from the syntactic, even in the limit of an infinitely complex syntactic model. [/QUOTE]
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Would It Matter To You if D&D Books Were Illustrated by AI Instead of Humans?
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