Queen of the DreamStream

Sometimes I swear I feel like I am a node in some computer network dedicated to crunching gigantic sets of data by breaking it up into small pieces. I think they call it grid computing. On the grid and off the grid, some people are and some people aren’t. Almost like you can dedicate a portion of your brain’s hardcomp power in any given session to tracking universal variables and doing complex measurements and manipulations of a communal data pool. This information, this activity should serve somebody anybody everybody both you and me. I swear I write down huge sets of words, phrases, bits of compiled data, things I downloaded directly from the DreamStream™, things which I then erase, eliminate, delete and uncreate. I don’t save but more than a few bits, a few chunks and handfuls of highly digestocompressified articules and seedpackets. Things I think which may be chaotic enough to survive in the wilds of information re-transmission and modulation. The adwebs, the tradewinds blow. Blow baby blow.

A search engine should be smart enough to know that the title of this post is a reference to a Van Morisson song which the rest of this post has nothing to do with and that I’m writing this with a vague sense of feeling somehow clever about it. It should know that I’m white, that I’m 28 years old, and what my address and purchasing history is. But it should be able to guess all of this information from textual subtextual and contextual clues and cues woven into the tapestry of the running narrative I have developed on the infowebs as a character and as a human being and how my experience of it and its of me have been somehow reflexive in a mutual way. I hope the internet has learned as much from me as I have from it and that it’s somehow gained something personally emotionally and intellectually. I see the internet as a living thing because I’m a living thing and that’s the perspective from which we should always try to view and contextualize the world even after we’re just floating severed heads in a datatray of infinite oceanic blissSpace

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One Comment

  1. Posted September 22, 2008 at 6:12 pm | Permalink

    http://www.research.ibm.com/dar/sr-page.html

    His Ph.D. thesis is titled “Topics in Regularization and Boosting” and is concentrated around the importance of regularization — that is, controlling the complexity of prediction models — in modern data analysis, machine learning and data mining.

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