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When the Artificial Intelligence (AI) movement set off fifty years ago, it bristled with ideas and optimism, which have arguably both waned since. The field has regressed into a multitude of relatively well insulated domains like logics, neural learning, case based reasoning, artificial life, robotics, agent technologies, semantic web... each with their own goals and methodologies. The decline of the idea of studying intelligence per se, as opposed to designing systems that perform tasks that would require some measure of intelligence in humans, has progressed to such a degree that we must now rename the original AI idea into Artificial General Intelligence.

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In science fiction, we dream. In order to colonize in space, to rebuild our cities, which are so far out of whack, to tackle any number of problems, we must imagine the future, including the new technologies that are required.

Fantasy has been around since antiquity, and there’s been so much of it. The years have taken their toll and depleted some of its imaginative power. The rapid progress of science, on the other hand, constantly infuses fresh blood into the science-fictional imagination. The worlds described in today’s sci-fi are entirely different from those of a few decades ago, whereas today’s fantasy worlds aren’t so different from those of the Middle Ages.

These two different responses, the idealistic and the scientific, do not merely exist simultaneously: there is a dialogue between the two. The imaginative construction precedes the technological though often it does not develop until the technological know-how is ‘in the air’. For example, the art of science fiction developed, in the main, only a half-century in advance of, and now co-exists with, the scientific revolution that is transforming it into a reality – for example (an innocuous one), the moon flight. The phrases ‘way out’, ‘far out’, ‘spaced’, the observation ‘it’s like something out of science fiction’ are common language.

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Kurzweilians and Russellians alike promulgate a technocentric view of the world that both simplifies views of people — in particular, with deflationary views of intelligence as computation — and expands views of technology, by promoting futurism about AI as science and not myth.
Focusing on bat suits instead of Bruce Wayne has gotten us into a lot of trouble. We see unlimited possibilities for machines, but a restricted horizon for ourselves. In fact, the future intelligence of machines is a scientific question, not a mythological one. If AI keeps following the same pattern of overperforming in the fake world of games or ad placement, we might end up, at the limit, with fantastically intrusive and dangerous idiot savants.

As a matter of fact, I am amazed at what has happened to science fiction in recent years. It has become a heavy academic field. And science fiction writers are being accorded a respect now, which I, as one of their peers and well-wishers, can only view with alarm and suspicion.
It seems like only yesterday, though it was in fact some 20 years ago, that all of us were writing pulp-action stories about a nebulous and ill-defined region that we called the future. Now our yarns are analysed in university classrooms for virtues we never suspected that they had. This is particularly true in America, the country that coined the word ‘overkill’ and then demonstrated its practical applications.

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Part of why predicting the ending to our AI [artificial intelligence] story is so difficult is because this isn’t just a story about machines. It’s also a story about human beings, people with free wills that allows them to make their own choices and to shape their own destinies. Our AI future will be created by us, and it will reflect the choices we make and the actions we take.

Notice that the story [of technical progress accelerating indefinitely] is not testable; we just have to wait around and see. If the predicted year of true AI's coming is false, too, another one can be forecast, a few decades into the future. AI in this sense is unfalsifiable and thus — according to the accepted rules of the scientific method — unscientific.

My wife Margaret and I sold our house to Sir Roger Penrose and his wife... Talking to Roger, I found we both agreed that AI, as they call it, is not going to be achieved by present-day machines."Artificial Intelligence" — that makes it sound simple, but what you're really talking about is artificial consciousness, AC. And I don't think there's any way we can achieve artificial consciousness, at least until we've understood the sources of our own consciousness. I believe consciousness is a mind/body creation, literally interwoven with the body and the body's support systems. Well, you don't get that sort of thing with a robot.

[I]f you look at the progression of AI models, it... went the opposite direction. ...AI started with linguistic protocols, which were expressed in formal grammars, and then it got to concept spaces, and now it's about to address percepts. ...At some point in the near future it's going to get better at mental simulations and at some point after that we'll get to attention directed and motivationally connected systems that make sense of the world, that are in some sense able to address meaning. This is the hardware that we have...

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