Is the 'digital hive' a soft totalitarian state?
By Joe Bageant
Ferrara, Italy
Sitting in a trendy wine bar, one of those that brings out food to match your particular choice of wine, mystified by the table setting. What was that tiny baby spoon for? Cappuccino surely, at some point, but why no big spoon to go with the knife and fork? The things a redneck American does not know grow exponentially in Bella Italia, starting with the restaurants -- not to mention several civilizations beneath one’s feet. Being in a house that has been continuously occupied for over 1000 years -- resisting the temptation to piss in the hotel room bidet, that sort of thing.
One thing the Italians can never be accused of is being a culture given to vinyl sided sameness, fast food franchises. Another thing is lack of a good educational system, given that Italy’s is among the very best in the world. So here I am sitting with some college kids trying to hang onto my end of a discussion of evolutionary consciousness, and whether Italy can withstand the cultural leveling of globalism.
“And Mr Bageent, what do you think of Pierre Teilhard de Chardin’s concept of the hive mind and the noosphere? Can monolithism and totalitarianism possibly be resisted in the cybernetic age?”
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On the other hand, this whole business of the new hive cybernetic connectivity, could be just a swarm of data bits with no particular significance, in and of themselves, other than the magical thinking belief that they do. Which ain’t no small thing, given that what we agree upon as reality is achieved by social consensus. Hell, to some people Beelzebub still stalks the earth. To others, America is a free republic, not a company town. We all have our hallucinations.
One thing for sure. Most people in the (over)developed world think the connectivity and speed of the algorithms behind the cyberhive are worth it. Even teachers teach to a standardized test so students will conform to an algorithm, and if that ain’t hive mind, I don’t know what is.
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http://www.joebageant.com/joe/2010/10/algorithms.html