People need to understand it’s a really well-trained parrot that has no idea what is saying. That’s why it can give you chicken recipes and software code; it’s seen it before. Then it uses statistics to put words together that usually appear together. It’s not thinking at all despite LLMs using words like “reasoning” or “thinking”
Comment on Nearly half of U.S. adults believe LLMs are smarter than they are.
Akuchimoya@startrek.website 2 weeks ago
I had to tell a bunch of librarians that LLMs are literally language models made to mimic language patterns, and are not made to be factually correct. They understood it when I put it that way, but librarians are spread to be “information professionals”. If they, as a slightly better trained subset of the general public, don’t know that, the general public has no hope of knowing that.
ricecooker@sh.itjust.works 2 weeks ago
Arkouda@lemmy.ca 2 weeks ago
Librarians went to school to learn how to keep order in a library. That does not inherently make them have more information in their heads than the average person, especially regarding things that aren’t books and book organization.
Akuchimoya@startrek.website 2 weeks ago
Librarians go to school to learn how to manage information, whether it is in book format or otherwise. (We tend to think of libraries as places with books because, for so much of human history, that’s how information was stored.)
They are not supposed to have more information in their heads, they are supposed to know how to find (source) information, catalogue and categorize it, identify good information from bad information, good information sources from bad ones, and teach others how to do so as well.
WagyuSneakers@lemm.ee 2 weeks ago
It’s so weird watching the masses ignore industry experts and jump on weird media hype trains. This must be how doctors felt in Covid.
Llewellyn@lemm.ee 2 weeks ago
Is it though?
WagyuSneakers@lemm.ee 2 weeks ago
I’m the expert in this situation and I’m getting tired explaining to Jr Engineers and laymen that it is a media hype train.
I worked on ML projects before they got rebranded as AI. I get to sit in the room when these discussion happen with architects and actual leaders. This is Hype. Anyone who tells you other wise is lying or selling you something.