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I guess each has their religion basilio
What's yours Sifu?
One of the conversations at the moment is the development of super computers that can learn and apply new information with minimal human direction. It's part of the discussion around the development of machine intelligence that quickly outstrips human capacity to control its direction.
So I was wondering... If for arguments sake such a computer was let lose on you tube and internet as a whole and essentially hoovered up the wild and wacky on line world what would it "think " ? How would it structure it's world ?
Have a look at what super computer "Watson" is doing.
http://www.washingtonpost.com/sf/national/2015/06/27/watsons-next-feat-taking-on-cancer/
https://backchannel.com/inside-deep...ts-computers-go-crazy-83b9d24e66df#.h4vjmhbq4
And something completely different. This is exceptionally hairy stuff on the development of the self development of neural networks in computers ...
It varies, at the moment, after a Damascus Road epiphany, it is the efficacy of the self adjusting palmar angle shoe for a number of equine pathologies. (Its on yoootooob too)
One of the conversations at the moment is the development of super computers that can learn and apply new information with minimal human direction. It's part of the discussion around the development of machine intelligence that quickly outstrips human capacity to control its direction.
So I was wondering... If for arguments sake such a computer was let lose on you tube and internet as a whole and essentially hoovered up the wild and wacky on line world what would it "think " ? How would it structure it's world ?
Have a look at what super computer "Watson" is doing.
http://www.washingtonpost.com/sf/national/2015/06/27/watsons-next-feat-taking-on-cancer/
https://backchannel.com/inside-deep...ts-computers-go-crazy-83b9d24e66df#.h4vjmhbq4
And something completely different. This is exceptionally hairy stuff on the development of the self development of neural networks in computers ...
Saw a youtube... wow. That's a lot of skills at work shoeing a horse Sifu. Amazing how easy it looks when a pro does it.
I think it might not be the horse that have any pathologies.. maybe they don't walk right because there's a bunch of nails stuck to their feet
So how does the self adjusting shoe work? Air/gel cushion between the toes and steel?
Interesting you mention nails in this particular thread Grasshopper, as there is a sizeable ferrophobic community which assigns a number of impossible physiological phenomena to horseshoes/nails, including the diminution of perfusion, sensation and proprioception via the promulgation of pseudoscience. Plenty of yootoobs on that too.
It is not fully understood why SAPAR works, what is understood is complicated. I have a hypothesis which needs some funding to test, it might fill some of the gaps... You up for a few million?
Computers only act according to their programming and so far humans have to do that.
When they start programming themselves do they start thinking ? Not if the instructions to reprogram themselves was a part of their original program.
Should a robot decide when to kill?
The ethics of war machines
By 2030, computers will become more intelligent than humans.
http://www.ibm.com/smarterplanet/us/en/ibmwatson/
It may be just semantics but computers have to be programmed by humans, so computers cannot be more intelligent than the humans who program them.
Faster at analysis, yes. Devoid of emotion, yes. Capable of original thought, no.
Unless a computer comes up with a modern equivalent of E=mc^2, they will just be automatons.
The technology behind Lai’s new machine is a neural network. This is a way of processing information inspired by the human brain. It consists of several layers of nodes that are connected in a way that change as the system is trained. This training process uses lots of examples to fine-tune the connections so that the network produces a specific output given a certain input, to recognize the presence of face in a picture, for example.
In the last few years, neural networks have become hugely powerful thanks to two advances. The first is a better understanding of how to fine-tune these networks as they learn, thanks in part to much faster computers. The second is the availability of massive annotated datasets to train the networks.
That has allowed computer scientists to train much bigger networks organized into many layers. These so-called deep neural networks have become hugely powerful and now routinely outperform humans in pattern recognition tasks such as face recognition and handwriting recognition.
It may be just semantics but computers have to be programmed by humans, so computers cannot be more intelligent than the humans who program them.
Faster at analysis, yes. Devoid of emotion, yes. Capable of original thought, no.
Unless a computer comes up with a modern equivalent of E=mc^2, they will just be automatons.
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