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A good solution is to break the system into small pieces.

You no longer think in terms of a "single system" - you think in terms of composition, components, and combination. You may find category theory useful here, too.

Before AI, these higher-level abstractions had little practical value because translating them into reality was a huge undertaking.

AI shortcuts the "building" and "translating" process, so the practical value is magnitudes more palpable.



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