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It's not simple at all, that's a huge reduction to the underlying premise. The complexity is the reason that AI is a threat. That complexity revolves around a tremendous amount of data and how that data interacts. The very nature of the field makes it non-experimental but ripe for advanced automation based on machine learning. The science of engineering from a practical standpoint, where most demand for employees comes from, is very much algorithmic.


> The science of engineering from a practical standpoint, where most demand for employees comes from, is very much algorithmic.

You should read up on Göedel's and Turing's work on the limits of formal systems and computability.

You are basically presuming that P=NP.




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