As the senior managing director of a technology firm that employs algorithms in their most complex forms, I spend a lot of time trying to explain, via nature-centric analogies, how these formulae work. The most cutting-edge algorithms are known as "genetic algorithms," because they self-adapt their "recipes" through interactions with a wider environment of stimuli, thereby approximating evolutionary responses found in nature. The hardest part about explaining that to people comes from overcoming their bias toward unnatural silicon solutions, as opposed to the carbon-based pathways of discovery and adaptation through failure that define our human existence. Oddly enough, people tend to trust computers' seeming infallibility more than nature's trial and error.
But at the same time, people fear a more highly technologized future, because they assume it will be less natural. In truth, technology, including computing, will evolve more in the direction of nature than the other way around, and will fuse with it increasingly on the latter's terms. When we watch the movie, "Avatar," we see its naturally "wired" planet of Pandora through the prism of our own nostalgia for the primitive. But as a fascinating new book on computing argues, Pandora's back-to-nature alternative to our own frighteningly technologized trajectory is not the lost past, but rather the inevitable future of the path we find ourselves on. ...
To read the rest, sign up to try World Politics Review
- TWO WEEKS FREE.
- Cancel any time.
- After two weeks, just $11.99 monthly or $94.99/year.
Request a free trial for your office or school. Everyone at a given site can get access through our institutional subscriptions.
- Strategic Horizons: The U.S. Army Makes Its Case for Post-COIN Relevance
- New Growth for Nuclear Energy Depends on Asia
- Diplomatic Fallout: Islamic State, Ebola’s Common Ally: Weak Crisis Response Mechanisms
- Diplomatic Fallout: Now Is Not the Time for a 'Grand Bargain' With Russia
- Diplomatic Fallout: U.S. Sidelines Russia at U.N., but Real-World Gains Remain Elusive