More from Cory's interview with Ray Kurzweil
Important stuff on a key idea of Ray's ... the rate of change is accelerating
"Thought Experiments":
"'Progress is exponential–not just a measure of power of computation, number of Internet nodes, and magnetic spots on a hard disk–the rate of paradigm shift is itself accelerating, doubling every decade. Scientists look at a problem and they intuitively conclude that since we’ve solved 1 percent over the last year, it’ll therefore be one hundred years until the problem is exhausted: but the rate of progress doubles every decade, and the power of the information tools (in price-performance, resolution, bandwidth, and so on) doubles every year. People, even scientists, don’t grasp exponential growth. During the first decade of the human genome project, we only solved 2 percent of the problem, but we solved the remaining 98 percent in five years.'"
Then there is this piece... from March 23rd issue
The scientific method | Computing the future | Economist.com:
"What makes a scientific revolution? Thomas Kuhn famously described it as a “paradigm shift”—the change that takes place when one idea is overtaken by another, usually through the replacement over time of the generation of scientists who adhered to an old idea with another that cleaves to a new one. These revolutions can be triggered by technological breakthroughs, such as the construction of the first telescope (which overthrew the Aristotelian idea that heavenly bodies are perfect and unchanging) and by conceptual breakthroughs such as the invention of calculus (which allowed the laws of motion to be formulated). This week, a group of computer scientists claimed that developments in their subject will trigger a scientific revolution of similar proportions in the next 15 years.
That claim is not being made lightly. Some 34 of the world's leading biologists, physicists, chemists, Earth scientists and computer scientists, led by Stephen Emmott, of Microsoft Research in Cambridge, Britain, have spent the past eight months trying to understand how future developments in computing science might influence science as a whole. They have concluded, in a report called “Towards 2020 Science”, that computing no longer merely helps scientists with their work. Instead, its concepts, tools and theorems have become integrated into the fabric of science itself. Indeed, computer science produces “an orderly, formal framework and exploratory apparatus for other sciences,” according to George Djorgovski, an astrophysicist at the California Institute of Technology."
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