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Artificial life and artificial intelligence
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Are these programs alive It depends upon the definition used for life. What if the programs evolve and develop higher levels of programming What happens when these programs are encased in and control mobile robots How about if the robots learn to build copies of themselves (self-replicate)
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Nanorobotics are we alive yet
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A nanobot is a robot the size of a microbe. IBM is making progress in manipulating atoms and molecules to create simple machines and electronics (transistors and wire). So far, there appears to be no restriction on how small one can make an object. Bacteria-sized robots are theoretically possible. Some scientists predict silicon life will be the next evolutionary step, replacing carbon life forms on this planet. What we call electronics and robotics will evolve into self-creating, self-replicating silicon life. Whether or not silicon life becomes the next major evolutionary step on Earth will not be debated here. This chapter will remain focused on the development of artificial intelligence (consciousness) and artificial life.
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A little history
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The progression of computer technology over the last five and a half decades is staggering. In 1946 the ENIAC computer filled a large area with electronic equipment. The computer was almost 100 feet (ft) long, 8 ft high, 3 ft deep, and weighed 30 tons. ENIAC contained 18,000 tubes, 70,000 resistors, 10,000 capacitors, 6000 switches, and 1500 electromagnetic relays. ENIAC could perform 5000 additions per second, 357 multiplications per second, and up to 38 divisions per second. Today that same 1946 computer could be condensed on a tiny sliver of silicon less than 1 4 square. Physicist Robert Jastrow stated in The Enchanted Loom (New York, Simon & Schuster, 1981) that, The first generation of computers was a billion times clumsier and less efficient than the human brain. Today, the gap has narrowed a thousand fold. Science is progressing unrelentingly toward creating AI. Artificial intelligence is something we may see in our lifetime. From the standpoint of creating competent AI, it s a small step to generating superior intelligence in machines. That s a dream, many scientists will tell you, trying to retain the waxing illusion that human intelli@@@@@@@ &&&&&&&&&
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two
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gence is and forever will be unsurpassed. I don t take any comfort in that illusion. AI is an evolving, uncompromising, unrelenting reality.
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Greater than I
Would we as the human race want to produce an intelligence superior to our own If you think about it, in the long run we may need to just to survive. Think of the advantages for the first nation that produced an AI machine with an IQ of 300. The AI machine could be given tasks such as improving the national economy, cleaning up the environment, ending pollution, developing military strategy in the event of war, performing medical and scientific research, and, of course, designing still smarter machines than itself. It s possible that the next theory of the universe will not be put forth by a human (as previously done by Albert Einstein) but by a competent AI machine.
The locked cage
Why is creating a superior intelligence so important Wouldn t humankind find the answers to all these vexing problems eventually Perhaps. The necessity of generating a superior AI is best illustrated with a story. I once heard or read this story. I m afraid I don t remember the author and to him or her I apologize. And if I have changed the story a bit in the retelling, I apologize for that also. Ten chimpanzees are in a cage. The cage door is locked. To reason how to unlock the lock and open the cage door requires an intelligence quotient (IQ) of approximately 90. Each chimp in the cage has been tested, and each has an IQ of about 60. Could the 10 chimps working together find a way to unlock the cage door The answer is NO! Intelligence is not accumulative. If it were, the 10 chimps working together would have a combined IQ of 600, more than enough to reason out how to open the cage door. In real life the chimps remain caged. In the real world we have problems involving global pollution, economics, diseases like cancer and AIDs, the general quest for longevity, and any and all facets of science research that can be substituted for the lock on the cage door. The importance of generating superior AI becomes clearly apparent. The AI may be able to uncover keys to unlock these problems that until then will remain effectively hidden from us.
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