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The model is probably excellent. The problem here is AGI having various definitions and many of them getting narrowed down to whatever makes benchmark numbers look good.


I'm not sure how you call a model AGI without it learning new information at the model level and not introducing nasty surprises (both from adversarial users and unintentional badness)

I guess there is fine tuning (and RAG) for those that need something bigger than just the knowledge contained in the context.


The same is for humans, we don't learn on instinct level either.


I agree, but I also long considered llm's stochastic parrots. Then this year happened.

Opus/Sol are easily far smarter programmers than I, and this thing supposedly blows them out of the water. Once an LLM is a better doctor, researcher, biologist, chemist, mathematician, physicist than any human is that not AGI?

It didn't arrive in the form I would have ever imagined, but it's hard to say its not (imo).




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