At least half of US adults think that they themselves are smarter than they actually are, so this tracks.
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It's probably true too.
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.
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.