If you program it to recognize faces, it will not, on it's own, learn to recognize cows.
So, if you walked into a VC's office to pitch a startup, you might say with a straight face that you believe the market for cow recognition exceeds the market for human facial recognition? Do you realize that to serve the cow recognition market, we simply clip RFID tags to their ears? http://images.google.com/images?q=cow+ear+rfid+tag
The artificial-machine face-recognition market is fueling the development of special intelligence in that area. There is relatively quick-return money in that area, so that is an area where intelligence is being developed first. Smell-recognition is another area where development of special intelligence can pay off relatively quickly, and therefore is providing impetus for development. So far, there are at least these relatively-fast-payoff markets for which special intelligences are being developed:
The imaging studies revealed significant face-selective activity in brain regions known to make up the distributed cortical face-processing network in humans. Further study showed distinct patches of activity in a region known as the fusiform gyrus - the primary site of face-selective activity in humans - when chimps observed faces.
Do you deny that the modern human brain probably resulted from evolution by natural-selection, rather than from Intelligent Design?
This post totally confuses me. What does the market for VC funding have to do with AI?
Are we even talking about the same things? Are you an AI? You are sort of acting like one (in this post), not responding to the points, but picking nouns from my post and finding info about them. (I'm joking - sort of.)
"....for which special intelligences" - is your definition of intelligence different from mine? Because none of the items on your list are forms of intelligence.
Yes, I am aware of the "special sub-processor" for recognizing faces.
What does the market for VC funding have to do with AI?
Technologies develop where they can earn a reasonable return on investment. If AI is developing first as facial recognition, instead of cow or everything recognition, it's because that is where the money is, relative to the amount of investment required. The return on an everything recognition AI investment might be higher, but the investment required would be higher still, implying a poor ROI.
So, if you walked into a VC's office to pitch a startup, you might say with a straight face that you believe the market for cow recognition exceeds the market for human facial recognition? Do you realize that to serve the cow recognition market, we simply clip RFID tags to their ears? http://images.google.com/images?q=cow+ear+rfid+tag
The artificial-machine face-recognition market is fueling the development of special intelligence in that area. There is relatively quick-return money in that area, so that is an area where intelligence is being developed first. Smell-recognition is another area where development of special intelligence can pay off relatively quickly, and therefore is providing impetus for development. So far, there are at least these relatively-fast-payoff markets for which special intelligences are being developed:
Are you aware that the human brain contains a special sub-processor for learning and recognizing not cows, but human faces? http://www.sciencedaily.com/releases/2008/12/081218122150.ht...The imaging studies revealed significant face-selective activity in brain regions known to make up the distributed cortical face-processing network in humans. Further study showed distinct patches of activity in a region known as the fusiform gyrus - the primary site of face-selective activity in humans - when chimps observed faces.
Do you deny that the modern human brain probably resulted from evolution by natural-selection, rather than from Intelligent Design?