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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[–] [email protected] 3 points 2 months ago

The way I would classify it is if you could somehow extract the "creative writing center" from a human brain, you'd have something comparable to to a LLM. But they lack all the other bits, and reason and learning and memory, or badly imitate them.

If you were to combine multiple AI algorithms similar in power to LLM but designed to do math, logic and reason, and then add some kind of memory, you probably get much further towards AGI. I do not believe we're as far from this as people want to believe, and think that sentience is on a scale.

But it would still not be anchored to reality without some control over a camera and the ability to see and experience reality for itself. Even then it wouldn't understand empathy as anything but an abstract concept.

My guess is that eventually we'll create a kind of "AGI compiler" with a prompt to describe what kind of mind you want to create, and the AI compiler generates it. A kind of "nursing AI". Hopefully it's not about profit, but a prompt about it learning to be friends with humans and genuinely enjoy their company and love us.

[–] [email protected] 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.

[–] [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

As I understand they are next word predictors but they predict more than one word, predicting the next sentence or paragraph as an entity rather than a single word at a time.

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