Richard Feynman (1918-1988) argues in his famous Lectures on Physics (1961/62) that finite accuracy of measurement also makes the future very unpredictable, because even very small errors in prediction have cascading effects that lead to vastly different outcomes. Thus, the difference between a classical interpretation (deterministic) and a quantum-mechanical explanation (indeterminisitc) is not as categorical as we sometimes assume. He […]
In his newest book, Radical Abundance: How a Revolution in Nanotechnology Will Change Civilization, 2013, he tells the history of nanotechnology from its beginnings to today, and then he turns towards the future: What can we expect from the accelerating breakthroughs generated by nano-technological research? Will it benefit humanity, or cause us harm? He is very optimistic, and his answer is given in the title: We are going to experience radical abundance based on these technological breakthroughs.
It is difficult for us to fathom the scale of the universe. The differences between the smallest structures and the largest are so enormous that linear scales are useless. We need exponential scales, which make the numbers appear to be easy, even when the geometry is simply incomprehensible. A simple example can demonstrate these size differences – there are more atoms in a glass of water than there are glasses of water in all the oceans combined. (If you don’t believe it, here is the math.)
On an exponential scale in meters, humans are located at the midpoint between the nanometer scale (1×10−9 m) (a strand of DNA is 3 nanometers thick) and the scale of stars ( the sun is 1.4 ×109 m in diameter.) Reaching “down”, what we try to do in nanotechnology, is just as difficult as reaching “up,” exploring the solar system with our probes. But, the journey is only beginning.
We are currently experiencing a paradigm shift in scientific thinking and explanation, away from reductionist and constructivist approaches. This shift is the result of the introduction of computers and the internet. Scientific researchers are now capable of collecting and processing much more information than ever before, and advanced modeling techniques allow them to develop and test scientific theories in ways […]