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Nearly half of U.S. adults believe LLMs are smarter than they are.
(imaginingthedigitalfuture.org)
this post was submitted on 17 Mar 2025
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You say this like this is wrong.
Think of a question that you would ask an average person and then think of what the LLM would respond with. The vast majority of the time the llm would be more correct than most people.
A good example is the post on here about tax brackets. Far more Republicans didn't know how tax brackets worked than Democrats. But every mainstream language model would have gotten the answer right.
I bet the LLMs also know who pays tarrifs
Memory isn't intelligence.
Then asking it a logic question. What question are you asking that the llms are getting wrong and your average person is getting right? How are you proving intelligence here?
LLMs are an autocorrect.
Let's use a standard definition like "intelligence is the ability to acquire, understand, and use knowledge."
It can acquire (learn) and use (access, output) data but it lacks the ability to understand it.
This is why we have AI telling people to use glue on pizza or drink bleach.
I suggest you sit down with an AI some time and put a few versions of the Trolley Problem to it. You will likely see what is missing.
How many Rs are there in the word strawberry?
I asked gemini and ChatGPT (the free one) and they both got it right. How many people do you think would get that right if you didn't write it down in front of them? If Copilot gets it wrong, as per eletes' post, then the AI success rate is 66%. Ask your average person walking down the street and I don't think you would do any better. Plus there are a million questions that the LLMs would vastly out perform your average human.
I think you might know some really stupid or perhaps just uneducated people. I would expect 100% of people to know how many Rs there are in "strawberry" without looking at it.
Nevertheless, spelling is memory and memory is not intelligence.
That was a very long time ago, that's fine now
I know it looks like I'm shitting on LLMs but really just trying to highlight they still have gaps on reasoning that they'll probably fix in this decade.