It's probably true too.
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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.
As far as I can tell from the article, the definition of "smarter" was left to the respondents, and "answers as if it knows many things that I don't know" is certainly a reasonable definition -- even if you understand that, technically speaking, an LLM doesn't know anything.
As an example, I used ChatGPT just now to help me compose this post, and the answer it gave me seemed pretty "smart":
what's a good word to describe the people in a poll who answer the questions? I didn't want to use "subjects" because that could get confused with the topics covered in the poll.
"Respondents" is a good choice. It clearly refers to the people answering the questions without ambiguity.
The poll is interesting for the other stats it provides, but all the snark about these people being dumber than LLMs is just silly.
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".