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udev

I am thinking whether this result can create a type of loop that can self-optimize.

We have AI to generate reasonable code from text problem description.

Now what if the problem description text is to generate such a system in the first place?

Would it be possible to close the loop, so to speak, so that over many iterations:

- text description is improved

- output code is improved

Would it be possible to create something that converges to something better?

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I am actually trying this. Basically by asking questions to AI and teaching it to generate code / google when it doesn't know something. The other process checks if code is valid and either ask it to get more context or executes code and feeds back to file :)

I think one can make problem "differentiable" via some heuristics and if you have NN trained to rate code quality and some understanding what should be used for type of problem, memory and speed and than can classify problem to group then rate solution it should be able to guide the process (in competitive programming).

Do you have a blog or a github or something? This sounds really neat.

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