deep address

deep address

This sample IPv6 address is written roughly 10 micrometers in width, or 1/50th that of a human hair, and .5 micrometers tall, or 1/200th that of a human hair. The lines of each character is 50 nanometers in width, and about 500 nanometers tall.  Bratton explains the math, “, 6.67 X 10^23 IPv6 addresses per square meter of the surface of the eürthhe,  or 6.67 x 10^17 per square millimeter, or 6.67 x 10^11 per square micrometer. As the address imaged above is roughly 10 micrometers in width, it could theoreticallly contain roughly one trillion different addresses.

Universal addressing platforms, like IPv6, are one way that the real movement of information between scales can be conceptualized and diagrammed.”

must they be conceptualized and diagrammed? – ie: too big to know-ness, everything as misc..

what if that’s more what tech wants.. ie: app ness.. storage becomes abundant (so info is there if we need it.. but we mostly ignore the data/label/single story).. leaving us free to spend more time on being..

Each and every one of these could be given a real address so that real links between them could be clearly traced in different ways by different people for different purposes,  all of which in turn could also be addressed again.”

app facilitating individual/community brain(s) – in perpetual beta.. abundant storage/remix/update… access with simple search

Instead of the  popular term, “the internet of things,” which implies a network of physical objects, Bratton prefers the more esoteric sounding, “internet of haeccities” which would include objects, but also concepts and memes, addressable at the same level, but at multiple scales, through the same system.  “Scales blur and what seemed solid becomes fuzzy. Inevitably we see that any apparently solid scale is really only a temporary state of resolution.” The bottom line, says Bratton: “the inherent intelligence of the world could be more self-reflexive in new and important ways.”

hugely resonating..

deleuze, langer, weinberger

The bottom line, says Bratton: “the inherent intelligence of the world could be more self-reflexive in new and important ways.”

ie: deep address – held/recorded/stored/ongoingly remixed/re-iterated by non-judgmental tech.. who’s only focus is the info.. the more stories.. rather than judging a single story/piece-of-data/person. leaving people free – in spaces of permission with nothing to prove – for eudaimonia ness..

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http://imagination.ucsd.edu/_wp/projects/deep-address/

Benjamin H. Bratton,  ..explains, “the address in this image is 10 micrometers long. This is roughly the size of a human red blood cell. It is also about the same size as an average bacterium.  What if we assigned an address red blood cells, or to bacteria, or to cultural memes? What kinds of science and design would be suggested by that granularity of massive addressability? This is now close enough to the realm of real design that we need to think through the implications now.”  The scales involved are astounding, “one human hair is approximately 100 micrometers thick. This sample IPv6 address is written roughly 10 micrometers in width, or 1/50th that of a human hair, and .5 micrometers tall, or 1/200th that of a human hair. The lines of each character is 50 nanometers in width, and about 500 nanometers tall.  Bratton explains the math, “, 6.67 X 10^23 IPv6 addresses per square meter of the surface of the eürthhe,  or 6.67 x 10^17 per square millimeter, or 6.67 x 10^11 per square micrometer. As the address imaged above is roughly 10 micrometers in width, it could theoreticallly contain roughly one trillion different addresses.

[..]

Bratton says the ultimate philosophical implications of Deep Address lead toward a “flat ontology” where both “things” and “ideas” are understood at the same level. “Addressable space includes not only discrete physical entities but also multiple levels of abstraction, as well as the traces of those entities, and even the ideas we then have about them.” He uses the example of a book and literary criticism to illustrate this point. “Think about the multiple scales of abstraction in a book. From very physical things like the molecules in ink, to an individual letter on a page, to a complete sentence, to more abstract things like a ‘scene’ or a ‘passage,’ or more complex textual forms, all why up to a complete book, to an intertextual link to another passage that is written about it, to someone else’s idea about that link, and all manner of layers that comprise the physical and cognitive intertextualities of a book or a historical body of texts, and so on. Each and every one of these could be given a real address so that real links between them could be clearly traced in different ways by different people for different purposes,  all of which in turn could also be addressed again.”

Instead of the  popular term, “the internet of things,” which implies a network of physical objects, Bratton prefers the more esoteric sounding, “internet of haeccities” which would include objects, but also concepts and memes, addressable at the same level, but at multiple scales, through the same system.  “Scales blur and what seemed solid becomes fuzzy. Inevitably we see that any apparently solid scale is really only a temporary state of resolution.” The bottom line, says Bratton: “the inherent intelligence of the world could be more self-reflexive in new and important ways.”

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from http://en.wikipedia.org/wiki/Anarchism#Libertarian_education_and_freethought

Max Stirner wrote in 1842 a long essay on education called The False Principle of our Education. In it Stirner names his educational principle “personalist,” explaining that self-understanding consists in hourly self-creation. Education for him is to create “free men, sovereign characters,” by which he means “eternal characters … who are therefore eternal because they form themselves each moment”.

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Bratton says that while addressing schemes like IPv6 have to be centrally governed in order to universally connect unlike things, he hopes that the ultimate design space of deep address is more bottom-up ecology than a top-down structure. 

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haeccities

deep address

all intro’d via Benjamin

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lists ness

wear able ness

deep learning

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