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Until such time that computers at least match human intelligence in every dimension, it will always remain possible for skeptics to say the glass is half empty. Every new achievement of AI can be dismissed by pointing out other goals that have not yet been accomplished. Indeed, this is the frustration of the AI practitioner: once an AI goal is achieved, it is no longer considered as falling within the realm of AI and become instead just a useful general technique. AI is thus often regarded as the set of problems that have not yet been solved.

There have been attempts to respond to the so-called Fermi Paradox (which, granted, is a paradox only if one accepts the optimistic parameters that most observers apply to the Drake equation). One common response is that a civilization may obliterate itself once it reaches radio capability. This explanation might be acceptable if we were talking about only a few such civilizations, but with the common SETI assumptions implying billions of them, it is not credible to believe that everyone of them destroyed itself.

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What's not fully realized is that Moore's Law was not the first paradigm to bring exponential growth to computers. We had electromechanical calculators, relay-based computers, vacuum tubes, and transistors. Every time one paradigm ran out of steam, another took over.