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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 Timely_Jellyfish_2077@programming.dev to c/asklemmy@lemmy.ml

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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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[–] 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.