Neural Nets & Evolutionary Algorithms can be pretty dumb & pretty smart at the same time. How? The same way that quantum physics works where we have local conditions that work for our immediate locale/environment & quantum or global conditions on a massive scale in the rest of the universe that may be invisible to us.
When you give an adaptive AI machine a learning set, it self-adjusts until it evolves to solve the problem. If it works perfectly with the data of the training set, it has local optimality. If it works universally beyond the training data, it has global optimality.
The normal algorithm of AI is to climb the closest hill it encounters, which is the best solution locally. That may not be the highest hill and the machine may be trapped at the top of a low hill. Once it reaches the summit, it doesn't know enough that it may have to climb down the hill to get to a higher better place.
This is true also in technical architecture. An application may be built that performs well locally, but fails when an attempt to scale it is made. The same is true for blockchain solutions. Some may have an ideal local application but won't fit for a variety or reasons on a global scale, and some of the factors may not be technical.
(originally appeared as a Linked In post: https://www.linkedin.com/in/ken-bodnar-57b635133/ )
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