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Depends on how hard the question is.

Simple functions in small code bases, will probably work.

Once you get large code bases and more complex work, you'd have issues with the small LLM having the context it needs to actually solve the issue.


That doesn't seem terribly surprising, a human can quickly look through a grid of shirts to find one they like. ChatGPT would be guessing what they might want and the human would probably get a bad experience there with some regularity.

They have a solution and are trying to find a problem.

Maybe this is going over my head, but how do you reduce something like a computer vision system for a ROS2 robot down to a mathmatical proof?

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