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Comment by RecycledEle | Hacker News Reader

> The question is about "intelligence" and your argument is regarding memory and access to information.

I think my answer concerns intelligence. Intelligence is the ability to solve problems.

That's YOUR definition of intelligence anyway. LLMs fundamentally aren't intelligent because they cannot solve novel problems. It's literally just a complex auto complete that interpolates data from problems already solved by humans. It has no capacity to actually reason about anything.

> That's YOUR definition of intelligence anyway.

Please tell me your definition of intelligence.

On a related note, I keep hearing that LLMs will never do X. As a teacher, I doubt that very many if any of my students can do X. LLMs may not be the perfect/God-like problem solver, but they are much smarter than anyone I work with at the community college.

you’re at community college, what do you expect? geniuses? in my basic math undergrad i encountered the limits of GPT daily, with a complete inability to solve anything above maybe freshman or sophomore level proofs. forget anything complex that hasn’t been answered extensively on stack overflow already.

This is a good point because “solving problems” and “generating convincing-sounding text” are the same thing. The fact that language models can answer heretofore unsolvable questions like “how many flimbops does it take to fill a fuzzlebugle to the halfway point?” means that Sam Altman has stolen fire from the gods as a modern day Prometheus

I asked my parrot the time complexity of quicksort, and he said "squawk N-squared!" He is clearly reasoning and I would like $500 million, please.

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