One common critique of AI is that it's imprecise and nondeterministic. We programmers have held too long to the notion that precision—in algorithms, in the programming languages we use, in the data we collect—is essential.
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We think that if our specifications and implementations are precise, our problems are solved. Our eternal quest for ever greater precision has failed us. We simply cannot write precise enough code. There are always bugs.
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That precise spec turns out to describe something nobody wants, and the details are wrong.

Computers don't need to be this precise. Analog computers worked very well for the classes of problems they solved.
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