The history of AI goes in cycles, each of which looks at least a little bit like this: Scientists do some basic research and develop a promising novel mechanism, N... N always has a few properties, but the most common and salient one is that it initially tends to require about 3x the specifications of the average computer available...
Initial successes in the refinement of N hint at truly revolutionary possibilities for its deployment. These revolutionary possibilities include a dimension of cognition that has not previously been machine-automated.
Leaders in the field recognize the sales potential of labeling the newly-'thinking' machine as 'Artificial Intelligence', speculating about societal upheaval now that the 'hard problem' of machine cognition has been 'solved' by N.
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