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I think the creativity and imagination required to solve this kind of problems is not really within current AI reach yet. The ability to take existing ideas and combine them in unique ways to come up with something new is very powerful, and not yet easily replicable by AI.

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Genetic Algorithms are pretty creative. I think a bigger problem is that we have no general way to turn “what we want” into a mathematically formalised goal that an AI can work towards — we can only manage specific cases like “how many components does this signal generator circuit use” or “make a new face based on these examples of faces”.

You can probably train them using dwim

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