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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. Shamel+8S[view] [source] 2023-12-27 19:03:27
>>DamnIn+IK
> (according to a tool that can allegedly detect these things).

Eh, I would trust my own testing before trusting a tool that claims to have somehow automated this process without having access to the weights. Really it’s about how unique your content is and how similar (semantically) an output from the model is when prompted with the content’s premise.

I believe you, in any case. Just wanted to point out that lots of these tools are suspect.

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