this post was submitted on 17 Mar 2025
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Half of LLM users (49%) think the models they use are smarter than they are, including 26% who think their LLMs are “a lot smarter.” Another 18% think LLMs are as smart as they are. Here are some of the other attributes they see:

  • Confident: 57% say the main LLM they use seems to act in a confident way.
  • Reasoning: 39% say the main LLM they use shows the capacity to think and reason at least some of the time.
  • Sense of humor: 32% say their main LLM seems to have a sense of humor.
  • Morals: 25% say their main model acts like it makes moral judgments about right and wrong at least sometimes. Sarcasm: 17% say their prime LLM seems to respond sarcastically.
  • Sad: 11% say the main model they use seems to express sadness, while 24% say that model also expresses hope.
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[–] Akuchimoya@startrek.website 26 points 1 day ago* (last edited 1 day ago) (8 children)

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 supposed 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.

[–] Arkouda@lemmy.ca 2 points 1 day ago (1 children)

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 0 points 20 hours 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.

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