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<blockquote data-quote="J.Quondam" data-source="post: 9155218" data-attributes="member: 7030100">For anyone who doesn't trust tech info on a D&amp;D forum* and is interested in the actual methodologies behind generative &quot;AI&quot;, here are a couple fairly recent, LONG semi-technical articles on a tech journalism site aimed at the layperson:[URL unfurl=&quot;true&quot;]https://arstechnica.com/gadgets/2023/01/the-generative-ai-revolution-has-begun-how-did-we-get-here/[/URL][URL unfurl=&quot;true&quot;]https://arstechnica.com/science/2023/07/a-jargon-free-explanation-of-how-ai-large-language-models-work/[/URL]They're very deep-dives, but very informative. But if those are too much, it's easy enough to find lighter weight info on reliable tech sites.The main takeaway, though, is that there are several different &quot;AI&quot; technologies out there, and they are all very complex, imperfectly understood, and evolving very rapidly. Thus simplistic declarations by laypersons - pro or con - about what AIs do or how AIs work are probably wrong.Among non-technical readers, imo it's much more credible and productive opine on the ethical questions surrounding these AIs, such as how to manage their training data; how people interact with them; or how their outputs are managed/used.* Hint: Don't trust tech info on a D&amp;D forum. That applies to other fields as well, including but not limited to: law, medicine, elections, dream interpretation, pie recipes, powerlifting, and also quantum psycho-transposition, probably.</blockquote>

[QUOTE="J.Quondam, post: 9155218, member: 7030100"] For anyone who doesn't trust tech info on a D&D forum* and is interested in the [I]actual[/I] methodologies behind generative "AI", here are a couple fairly recent, LONG semi-technical articles on a tech journalism site aimed at the layperson: [URL unfurl="true"]https://arstechnica.com/gadgets/2023/01/the-generative-ai-revolution-has-begun-how-did-we-get-here/[/URL] [URL unfurl="true"]https://arstechnica.com/science/2023/07/a-jargon-free-explanation-of-how-ai-large-language-models-work/[/URL] They're very deep-dives, but very informative. But if those are too much, it's easy enough to find lighter weight info on reliable tech sites. The main takeaway, though, is that there are several different "AI" technologies out there, and they are all very complex, imperfectly understood, and evolving [I]very[/I] rapidly. Thus simplistic declarations by laypersons - pro or con - about what AIs do or how AIs work are probably wrong. Among non-technical readers, imo it's much more credible and productive opine on the [I]ethical questions[/I] surrounding these AIs, such as how to manage their training data; how people interact with them; or how their outputs are managed/used. [I][SIZE=3]* Hint: Don't trust tech info on a D&D forum. That applies to other fields as well, including but not limited to: law, medicine, elections, dream interpretation, pie recipes, powerlifting, and also quantum psycho-transposition, probably.[/SIZE][/I] [/QUOTE]

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