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Are modern LLMs closer to AGI or next word predictor? Where do they fall in this graph with 10 on x-axis being human intelligence. (programming.dev)

submitted 2 months ago by [email protected] to c/[email protected]

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Wondering if Modern LLMs like GPT4, Claude Sonnet and llama 3 are closer to human intelligence or next word predictor. Also not sure if this graph is right way to visualize it.

(page 2) 49 comments

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[–] [email protected] 2 points 2 months ago

I'm going to say x=7, y=10. The sum x+y is not 10, because choosing the next word accurately in a complex passage is hard. The x is 7, just based on my gut guess about how smart they are - by different empirical measures it could be 2 or 40.

[–] [email protected] 1 points 2 months ago (1 children)

I hold a very strong hypothesis, which I’ve not seen any data contradict yet, that intelligence is only possible with formal language and symbolics and therefore formal language and intelligence is very hard to separate. I don’t think one created the other; they evolved together.

[–] [email protected] 1 points 2 months ago

Yeah I think the human brain is a vehicle for "mind virus" which is script and ideas.

[–] [email protected] -1 points 2 months ago

With GPT o1, I think there is a very small piece of intelligence at play, but it's basically (8.5, 1.5) on this in my mind

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