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All attempts at true artificial intelligence have been failures. In the 60's, Marvin Minsky once famously assigned the problem of computer vision to a grad student. 45 years later, we've made very little progress.
Kurzweil's theory of the Singularity is based on the supposition that any sufficiently complex neural network will begin exhibiting sentient, conscious self-awareness. There is simply no evidence that this is the case -- which, oddly, makes this 'scientific theory' a fine example of magical thinking, imho :)
Any computer, no matter how complex, is rooted in a deterministic Von Neumann 'state machine' architecture. Even the fastest, largest, most complex computers are nothing more than a big, honkin' IF-THEN-ELSE statement when you get right down to it. And no matter how many more ELSE's you add, it is not going to come alive.
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With that said, it's important that humanity does a better job of balancing scientific (and computational) advances with an ethical maturity that allows us to understand the implications of new technology.
Source(s):
http://en.wikipedia.org/wiki/Technological_singularity
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I strongly believe that it will come down to learning. Those inter-connections will have to be formed organically. Super intelligent machines will start off dumb, really dumb, but they will be uniquely configured in some way that cognitive scientists have yet to figure out to learn as humans do. However, they won't be limited by poor attention span, cranium size, and hormonal issues!
Another important point is that super intelligence does not imply any kind of will, desire to conquer, or consciousness. It will simply be a specialized tool which humans will be able to use to do cool stuff. These A.I.s will also be our personal oracle, our butler and our best friend. Just hang around for a couple or three hundred years. You'll see.
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Answered Question
December 23, 2008 08:55 PM
Do you think "The Singularity" described by Ray Kurzweil will happen?
Why or why not?
If so, when?
What do you think this will mean for people, the environment, economics and so on?
What would a post Singularity world be like?
If you don't think it will happen, what do you think will?
If so, when?
What do you think this will mean for people, the environment, economics and so on?
What would a post Singularity world be like?
If you don't think it will happen, what do you think will?
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| December 23, 2008 09:04 PM |
All attempts at true artificial intelligence have been failures. In the 60's, Marvin Minsky once famously assigned the problem of computer vision to a grad student. 45 years later, we've made very little progress.
Kurzweil's theory of the Singularity is based on the supposition that any sufficiently complex neural network will begin exhibiting sentient, conscious self-awareness. There is simply no evidence that this is the case -- which, oddly, makes this 'scientific theory' a fine example of magical thinking, imho :)
Any computer, no matter how complex, is rooted in a deterministic Von Neumann 'state machine' architecture. Even the fastest, largest, most complex computers are nothing more than a big, honkin' IF-THEN-ELSE statement when you get right down to it. And no matter how many more ELSE's you add, it is not going to come alive.
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Other Answers (2)
December 23, 2008 10:26 PM
No way. Ray's hypothesis is an example of science extrapolating with too much enthusiasm. (We humans have a grand tradition of doing this.) There are too many subtleties involved in human cognition, and 'computer cognition' is too fragile and inflexible. Moreover, his hypothesis doesn't weigh the negative impacts of technology that would hold 'progress' back. With that said, it's important that humanity does a better job of balancing scientific (and computational) advances with an ethical maturity that allows us to understand the implications of new technology.
Source(s):
http://en.wikipedia.org/wiki/Technological_singularity
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December 25, 2008 05:07 PM
While I agree Ray's roadmap is flawed, your assertion that computer cognition is too fragile needs to be supported. It is true that to date, existing approaches to computer cognition are primitive at best, it need not be the case that all future attempts will be equally flawed. Again, I am not Ray and will not try to appeal to the law of accelerated returns here, but claiming that past failures implies future failures is a grand claim.
As for ethics, I am not sure if I agree. Could you provide an example?
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As for ethics, I am not sure if I agree. Could you provide an example?
December 25, 2008 05:50 PM
Two notes:
(1) Past failures do not imply future failures, but our grandest schemes and dreams will always encounter unanticipated challenges to their realization. Critics of Dr. Kurzweil's enthusiastic and inspired extrapolation of machine intelligence and creativity often point to the scant attention Kurzweil pays to its obstacles.
(2) See The Dalai Lama's book, The Universe in a Single Atom: The Convergence of Science and Spirituality, in which he explores the role and importance of ethical reflection occurring alongside scientific progress. It's a fascinating read, juxtaposing the Buddhist perspective on knowledge with a Western perspective.
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(1) Past failures do not imply future failures, but our grandest schemes and dreams will always encounter unanticipated challenges to their realization. Critics of Dr. Kurzweil's enthusiastic and inspired extrapolation of machine intelligence and creativity often point to the scant attention Kurzweil pays to its obstacles.
(2) See The Dalai Lama's book, The Universe in a Single Atom: The Convergence of Science and Spirituality, in which he explores the role and importance of ethical reflection occurring alongside scientific progress. It's a fascinating read, juxtaposing the Buddhist perspective on knowledge with a Western perspective.
December 24, 2008 11:10 AM
I don't see why it can't happen given enough time and resources to figuring out how intelligence in human brains is achieved. Just because we haven't figured that out completely yet does not mean it's not do-able. I strongly believe that it will come down to learning. Those inter-connections will have to be formed organically. Super intelligent machines will start off dumb, really dumb, but they will be uniquely configured in some way that cognitive scientists have yet to figure out to learn as humans do. However, they won't be limited by poor attention span, cranium size, and hormonal issues!
Another important point is that super intelligence does not imply any kind of will, desire to conquer, or consciousness. It will simply be a specialized tool which humans will be able to use to do cool stuff. These A.I.s will also be our personal oracle, our butler and our best friend. Just hang around for a couple or three hundred years. You'll see.
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So I obviously don't think that will happen. Machines will simply continue to be mirrors of ourselves, not standalone entities.
In 20 or 30 years I think things will look fairly similar to how they are today. We'll have some surprises, of course, but if you look at the last 20-30 years and the predictions of the 'future' we live in now, they are pretty wildly optimistic: 2001 a space odyssey had us with bases on the Moon and manned trips to Jupiter; 'Things to Come' in the beginning of the 20th century predicted a future filled with technology we are still far from achieving. In short: there are no flying cars. Today is fairly similar to the 1970's or 80's. On the other hand, we have the Internet and iPhones and iPods. That is very different and surprising. The Internet was an utter surprise even to Bill Gates -- recall that Microsoft slept in ignorance for a full year and half while Netscape spread like a weed (and to their credit, the war machine woke up, built IE, attacked and won).
But the point is: the Internet has changed fundamentals of social interaction more than anything else, imho. Today you see groups of kids, all huddled in a circle, oblivious to one another as they all text other friends far away.
So: 20-30 years? Pretty much like now, but with some discontinuous innovations like the Internet that are an utter surprise to everyone, with ramifications that are more social than anything else.
That all attempts to date are failures implies future failures is a fallacy. If true, no form of innovation is possible.
While you are correct that Kurzweil's supposition is flawed, it is not proof that no such supposition is true.
While computers do follow Von Neumann state machine architecture, they need not be the deterministic machines you describe. Probabilistic approaches are (arguably) the forefront of modern AI. Further, it is reasonable to assume that new hardware approaches (for example, auto associative memory) may be introduced into computers in the future. If we assume such conventions are a prerequisite for AI (i.e. current computing machines are not capable), we can also say that it is reasonable to believe we could construct such an architecture.