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I took into account that computers evolve faster, but they also are starting from an incredibly primitive 'life-form', and they have fewer things causing them to mutate. But I'd love to try to run them for a few years and track their progress...it would be kind of like being a god.

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Computers do not evolve. To do so they would have to be subjected to environmental change such as scarce resources threatening their survival.

Lindagarrette; I believe Freethinker gave evidence for this evolutionary process in his last post on this topic. If you disagree with these findings, would you explain how you came to your decision about these results.

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In the first place randomness is not possible in computers.
HOW COMPUTERS GENERATE RANDOM NUMBERS

http://members.cox.net/srice1/random/introduction.htm

 

Also, the guy who invented the computer game "Creatures" has written a book called "Creation- Life and how to make it" - for a review/interview check out http://www.salon.com/books/int/2002/01/02/grand/?CP=COR&DN=310

 

The author Steve Grand has some very interesting ideas about the subject and I think there is more to genetic algorithms than just the creation of random numbers.

 

Here's another interview with him:

http://www.generation5.org/content/1999/grand.asp

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Anybody who believes in a deterministic universe believes that randomness isn't possible at all, yet evolution still occurs.

Even if you believe in "free will", you have to recognize that computers are completely deterministic. Random number generators work for many iterations the end result is always predictable. As in chaos theory, varying the "seed" is merely changing a variable that determines a different end result.

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HOW COMPUTERS GENERATE RANDOM NUMBERS

http://members.cox.net/srice1/random/introduction.htm

 

Also, the guy who invented the computer game "Creatures" has written a book called "Creation- Life and how to make it" - for a review/interview check out http://www.salon.com/books/int/2002/01/02/grand/?CP=COR&DN=310

 

The author Steve Grand has some very interesting ideas about the subject and I think there is more to genetic algorithms than just the creation of random numbers.

 

Here's another interview with him:

http://www.generation5.org/content/1999/grand.asp

The speculations in those links have interesting notions but they are not scientific and Steve is quite wrong in some of his conclusions, especially when he claims we don't have the vaguest idea how the brain works. Neurophysists have very sound information and solid theories in that department. The brain uses boolean logic in much the same way all computers do.

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Even if you believe in "free will", you have to recognize that computers are completely deterministic. Random number generators work for many iterations the end result is always predictable. As in chaos theory, varying the "seed" is merely changing a variable that determines a different end result.

 

 

So are you saying that evolution can only occur if there is free will? Evolution can occur even to viruses, which are not technically alive and merely following natural law, which is what a program does, it follows the computer's natural law.

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Guided evoloution, natural selection... whatever.

 

"chip speed and cost-effectiveness increase exponentially. There's even exponential growth in the rate of exponential growth. This exponential growth is not restricted to hardware, but with accelerating gains in brain reverse engineering, also applies to software"

 

"By 2019, a $1,000 computer will match the processing power of the human brain—about 20 million billion calculations per second. This level of processing power is a necessary but not sufficient condition for achieving human-level intelligence in a machine "

 

These are based on current treds in Technology and if they carry on as they have been for the past few decades.

 

Software is expected to take longer, just because we will have the computer power, does it mean that its intelligent? probably not. Its probably not just going to wake up all of a sudden.

 

At any time we could seed intelligent software that rapidly learns, It might not even take much code at all. But that few lines of code, may change everything and it could come at anytime I believe.

 

 

 

estimate of brain capacity is 100 billion neurons times an average 1,000 connections per neuron (with the calculations taking place primarily in the connections) times 200 calculations per second. Although these estimates are conservatively high, one can find higher and lower estimates. However, even much higher (or lower) estimates by orders of magnitude only shift the prediction by a relatively small number of years.

 

Some salient dates from this analysis include the following:

 

We achieve one Human Brain capability (2 * 10^16 cps) for $1,000 around the year 2023.

 

We achieve one Human Brain capability (2 * 10^16 cps) for one cent around the year 2037.

 

We achieve one Human Race capability (2 * 10^26 cps) for $1,000 around the year 2049.

 

We achieve one Human Race capability (2 * 10^26 cps) for one cent around the year 2059

 

 

We can determine the growth rate over a period of time:

 

Growth Rate =10^((LOG(CPS/$1K for Current Year)—LOG(CPS/$1K for Previous Year))/(Current Year—Previous Year))

 

Human Brain = 100 Billion (10^11) neurons * 1000 (10^3) Connections/Neuron * 200 (2 * 10^2) Calculations Per Second Per Connection = 2 * 10^16 Calculations Per Second

 

Human Race = 10 Billion (10^10) Human Brains = 2 * 10^26 Calculations Per Second

 

These formulas produce the graph below.

 

 

 

There is a lot to read so I have just chose certain parts of the article. Its a long article but it migh Interest some of you.

 

ray kurzweil is a highly respected in his field of A.I and technology, hes made many things and has a good record of predicted events based on trends and research he and his teams have done

 

http://www.kurzweilai.net/meme/frame.html?main=/articles/art0500.html?

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Evolving machine code is indeed possible and has been demonstrated numerous times. It's possible that a machine then could invent an improved version of itself.
Where is evidence of "evolving" code and what does that mean, anyway? Evolution is a biological concept and does not have anything to do with learning. A machine can only act as it is programed (as it learns) to do.
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So are you saying that evolution can only occur if there is free will? Evolution can occur even to viruses, which are not technically alive and merely following natural law, which is what a program does, it follows the computer's natural law.
In the first place, no I did not say that and second, viruses are genetic entities which reproduce and mutate, third, what is a computer's natural law? and fourth, what is your point?
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