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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[–] echodot@feddit.uk 5 points 6 days ago

Maybe if the adults actually didn't use the LLMs so much this wouldn't be the case.

[–] LovableSidekick@lemmy.world 2 points 5 days ago

I'm surprised it's not way more than half. Almost every subjective thing I read about LLMs oversimplifies how they work and hugely overstates their capabilities.

Considering the amount of people that either voted trump or not voted at all, I'd say that there's a portion of americans lying.

[–] interested_party@lemmy.org 2 points 5 days ago

It's probably true too.

[–] technocrit@lemmy.dbzer0.com 4 points 6 days ago

What that overwhelming, uncritical, capitalist propaganda do...

[–] MITM0@lemmy.world 2 points 5 days ago

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

[–] 1984@lemmy.today 3 points 6 days ago (1 children)

An llm simply has remembered facts. If that is smart, then sure, no human can compete.

Now ask an llm to build a house. Oh shit, no legs and cant walk. A human can walk without thinking about it even.

In the future though, there will be robots who can build houses using AI models to learn from. But not in a long time.

[–] Omgpwnies@lemmy.world 3 points 6 days ago (1 children)

3d-printed concrete houses are already a thing, there's no need for human-like machines to build stuff. They can be purpose-built to perform whatever portion of the house-building task they need to do. There's absolutely no barrier today from having a hive of machines built for specific purposes build houses, besides the fact that no-one as of yet has stitched the necessary components together.

It's not at all out of the question that an AI can be trained up on a dataset of engineering diagrams, house layouts, materials, and construction methods, with subordinate AIs trained on the specific aspects of housing systems like insulation, roofing, plumbing, framing, electrical, etc. which are then used to drive the actual machines building the house. The principal human requirement at that point would be the need for engineers to check the math and sign-off on a design for safety purposes.

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[–] Schadrach 1 points 5 days 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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