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I agree that scaling up LLM will hit a dead end. But people are going way beyond that. They are using LLM as language interface between tools, and those tools know what they are doing individually. They are reinforcing LLM with human feedback, and a framework that can be taught by human means rather than explicit coding is a huge deal. People are adding verification to LLM, so you could tell it, that a portion of its output is wrong, so it needs to be redone. It is too early to early to say that it won't grow.

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