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1. DamnIn+IK[view] [source] 2023-12-27 18:22:04
>>ssgodd+(OP)
I have deeply mixed feelings about the way LLMs slurp up copyrighted content and regurgitate it as something "new." As a software developer who has dabbled in machine learning, it is exciting to see the field progress. But I am also an author with a large catalog of writings, and my work has been captured by at least one LLM (according to a tool that can allegedly detect these things).

Overall, current LLMs remind me of those bottom-feeder websites that do no original research--those sites that just find an article they like, lazily rewrite it, introduce a few errors, then maybe paste some baloney "sources" (which always seems to disinclude the actual original source). That mode of operation tends to be technically legal, but it's parasitic and lazy and doesn't add much value to the world.

All that aside, I tend to agree with the hypothesis that LLMs are a fad that will mostly pass. For professionals, it is really hard to get past hallucinations and the lack of citations. Imagine being a perpetual fact-checker for a very unreliable author. And laymen will probably mostly use LLMs to generate low-effort content for SEO, which will inevitably degrade the quality of the same LLMs as they breed with their own offspring. "Regression to mediocrity," as Galton put it.

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2. buckyf+hR[view] [source] 2023-12-27 18:57:49
>>DamnIn+IK
I don’t view LLMs as a fad. It’s like drummers and drum machines. Machines and drummers co-exist really well. I think drum machines, among other things, made drummers better.
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3. tremon+nX[view] [source] 2023-12-27 19:34:14
>>buckyf+hR
It mainly made mediocre drummers sound better to the untrained ear.
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4. HaZeus+U11[view] [source] 2023-12-27 19:57:23
>>tremon+nX
Then it comes down to preference, but the craft and discipline objectively evolved as a result. Just as your trained ear may keep your preference to more refined percussive - a subject matter expert may care more for their native, untrained materials on their topic. In either case, music progressed in spite of the trained ears, just as AI will progress all walks of life in spite of the subject matter experts.

Nonetheless, trained ears and subject matter experts can still pick their preference.

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