The goal of reverse-engineering the brain is the same as for any other biological or nonbiological system – to understand its principles of operation. We can then implement these methods using other substrates other than a biochemical system that sends messages at speeds that are a million times slower than contemporary electronics. The goal of engineering is to leverage and focus the powers of principles of operation that are understood, just as we have leveraged the power of Bernoulli’s principle to create the entire world of aviation.
As for the time frame, some of my critics claim that I underestimate the complexity of the problem. I have studied these issues for over four decades, so I believe I have a good appreciation for the level of challenge. What I would say is that my critics underestimate the power of the exponential growth of information technology.
Halfway through the genome project, the project’s original critics were still going strong, pointing out that we were halfway through the 15 year project and only 1 percent of the genome had been identified. The project was declared a failure by many skeptics at this point. But the project had been doubling in price-performance and capacity every year, and at one percent it was only seven doublings (at one year per doubling) away from completion. It was indeed completed seven years later. Similarly, my projection of a worldwide communication network tying together tens and ultimately hundreds of millions of people, emerging in the mid to late 1990s, was scoffed at in the 1980s, when the entire U.S. Defense Budget could only tie together a few thousand scientists with the ARPANET. But it happened as I predicted, and again this resulted from the power of exponential growth.
Linear thinking about the future is hardwired into our brains. Linear predictions of the future were quite sufficient when our brains were evolving. At that time, our most pressing problem was figuring out where that animal running after us was going to be in 20 seconds. Linear projections worked quite well thousands of years ago and became hardwired. But exponential growth is the reality of information technology.
We’ve seen smooth exponential growth in the price-performance and capacity of computing devices since the 1890 U.S. census, in the capacity of wireless data networks for over 100 years, and in biological technologies since before the genome project. There are dozens of other examples. This exponential progress applies to every aspect of the effort to reverse-engineer the brain.
Tuesday 24 August 2010
Ray Kurzweil Responds to “Ray Kurzweil does not understand the brain” ☀
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