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You don't just need to create an idea, you need to be able to create ideas that on average progress in a positive direction. Humans can evidently do that, AI can't, when AI work too much without human input you always end up with nonsense.

In order to write general program you need to have that skill. Every new code snipped needs to be evaluated by that system, whether it makes the codebase better or not. The lack of that ability is why you can't just loop an LLM today to replace programmers. It might be possible to automate it for specific programming tasks, but not general purpose programming.

Overcoming that hurdle is not something I think LLM ever can do, you need a totally different kind of architecture, not something that is trained to mimic but trained to reason. I don't know how to train something that can reason about noisy unstructured data, we will probably figure that out at some point but it probably wont be LLM as they are today.




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