this post was submitted on 21 Sep 2024
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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.

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A remarkable paper has just come out on this topic.

[–] Xiisadaddy@lemmygrad.ml 2 points 2 months ago

Imo, which is backed a bit by some pretty new studies, not only do LLMs not have intelligence at all, they are incapable of it.

Human intelligence and conciousness likely has a lot to do with nanotubes that trigger quantum wave function collapse, and allow for decision making. Computers simply do not function in this way. Computers are processing machines. They have logic gates with 2 states. 101101110011 binary logic.

If new studies related to nanotubes are right biological brains are simply operating on an entirely diffetent level and playing by a different set of rules than computers. Its not a issue of getting the software right, or getting more processing power. Its an issue of physical capability of the machine to perform certain functions.

[–] CanadaPlus@lemmy.sdf.org 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.

[–] sunbeam60@lemmy.one 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.

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

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