LLMs, and everyone who uses them to process information:
this post was submitted on 04 Sep 2024
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Big brain tech dude got yet another clueless take over at HackerNews etc? Here's the place to vent. Orange site, VC foolishness, all welcome.
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Facts are not a data type for LLMs
I kind of like this because it highlights the way LLMs operate kind of blind and drunk, they're just really good at predicting the next word.
They’re not good at predicting the next word, they’re good at predicting the next common word while excluding most unique choices.
What results is essentially if you made a Venn diagram of human language and only ever used the center of it.
Yes, thanks for clarifying what I meant! AI will never create anything unique unless prompted uniquely and even then it will tend to revert back to what you expect most.
ATTN: If you're coming into this thread to say, "The output of AI is bad because your prompts suck," I'm just proud that you managed to figure out how to use the internet at all. Good job, you!
remember remember, eternal september
(not that I much agree with the classist overtones of the original, but fuck me does it come to mind often)
Well, to be fair, AI can do it in seconds. Which beats humans.
But if that is relevant if the results are worthless is another question.
Yeah it changes the task from note taking or summarizing to proofreading.
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Made strange choices about what to highlight.
They certainly do. For a while it was common to see AI-generated summaries under links to articles on lemmy, so I got a feel for them. Seems to me you would not need any fancy artificial intelligence to do equally well: Just take random excerpts, or maybe just read every third sentence.
how the hell did this of all the posts turn into a promptfondler shooting gallery
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i have seen the light from the helpful posters here, made up bullshit alleged summaries of documents are great actually
Dang everyone here needs to look at a tree or a cat or something. Energy is wack in here
I just went outside and appreciated the rendering
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Could it be because a statistical relation isn't the same as a semantic one? No, I must be prompting it wrong. I'll just add "engineer" to my title and then everyone will take me seriously.
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