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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[–] interested_party@lemmy.org 2 points 2 weeks ago

It's probably true too.

[–] beatnixxx@fedia.io 2 points 2 weeks ago

At least half of US adults think that they themselves are smarter than they actually are, so this tracks.

[–] MITM0@lemmy.world 2 points 2 weeks ago

Why are you even surprised at this point, when it comes to Americans ?

[–] cmhe@lemmy.world 1 points 2 weeks ago

I suppose some of that comes down to the personal understanding of what "smart" is.

I guess you could call some person, that doesn't understand a topic, but still manages to sound reasonable when talking about it, and might even convince people that they actually have a deep understanding of that topic, "smart", in a kind of "smart imposter".

[–] Fizz@lemmy.nz 1 points 1 week ago

Even if an ai has access to more facts and information you should feel confident in your human ability to reason through the data you do know, search new information and process it in the context.

If you think an ai does all this better than you then you need to try harder.

[–] Schadrach@lemmy.sdf.org 1 points 1 week ago

An LLM is roughly as smart as the corpus it is summarizing is accurate for the topic, because at their best they are good at creating natural language summarizers. Most of the main ones basically do an internet search and summarize the top couple of results, which means they are as good as the search engine backing them. Which is good enough for a lot of topics, but...not so much for the rest.

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