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<blockquote data-quote="Umbran" data-source="post: 9496821" data-attributes="member: 177">Not quite.&nbsp; It isn't that generative AI is flawed, so much as corporations are trying to sell it to us as a tool for things that it isn't particularly good at.&nbsp; If you don't know how to use and adze, and what it is good for, you'd be tempted to say it is a flawed axe.&nbsp; But you'd be wrong.&nbsp; Are you familiar with the Monty Python String Sketch?&nbsp; This is what is going on with generative AI:[MEDIA=youtube]g-B8hzU1nms[/MEDIA]The things we are being told Generative AI is good for, and what it is actually good for, are not the same thing. Simply: generative AI creates data that resembles real material broadly, but it will fail in the details.&nbsp; So, in effect, generative AI is good at simulating a thing, not actually making a thing.If you are, say, a physicist, and you want a body of data to tune your particle accelerator's analysis software on, generative AI might be a good place to turn to gin up a large mass of fake data to test the system.&nbsp; Or, if you are creating an automated printing layout tool, and need to come up with masses of test data for novels, poetry, and brochures, it can make stuff that looks like the real thing.&nbsp; The text may be gibberish, but you don't care about the detailed content, only the general form.</blockquote>

[QUOTE="Umbran, post: 9496821, member: 177"] Not quite. It isn't that generative AI is flawed, so much as corporations are trying to sell it to us as a tool for things that it isn't particularly good at. If you don't know how to use and adze, and what it is good for, you'd be tempted to say it is a flawed axe. But you'd be wrong. Are you familiar with the Monty Python String Sketch? This is what is going on with generative AI: [MEDIA=youtube]g-B8hzU1nms[/MEDIA] The things we are being told Generative AI is good for, and what it is actually good for, are not the same thing. Simply: generative AI creates data that [I]resembles[/I] real material broadly, but it will fail in the details. So, in effect, generative AI is good at [I]simulating[/I] a thing, not actually making a thing. If you are, say, a physicist, and you want a body of data to tune your particle accelerator's analysis software on, generative AI might be a good place to turn to gin up a large mass of fake data to test the system. Or, if you are creating an automated printing layout tool, and need to come up with masses of test data for novels, poetry, and brochures, it can make stuff that looks like the real thing. The text may be gibberish, but you don't care about the detailed content, only the general form. [/QUOTE]

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