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It's not "good enough", it's mostly overhyped marketing garbage. LLM models are mostly as good as they're going to get. It's a limitation of the technology. It's impressive at what has been done, but that's it.

It doesn't take billions of dollars and all human knowledge to make a single human level intelligence. Just some hormones and timing. So LLMs are mostly a dead end. AGI is going to come from differenst machine learning paradigms.

This is all mostly hype by and for investors right now.



It's pretty good for a whole class of problems that humans currently do.


LLM direct response models are quite mature, yes (4o)

LLM based MoE architectures with some kind of reasoning process ( Claude 3+, o series, R1, grok 3 with thinking ), are the equivalent of v0.2 atm, and they're showing a lot of promise.




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