{"resolved":true,"match_type":"uuid","source_type":"original_book","book_id":"a31b1606-7526-4f42-a12d-1edcb41ff0e7","title":"DIGITAL LABOR THE INTERNET AS PLAYGROUND AND FACTORY","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9780415896948","requested_by":"printed_page","book":{"source_type":"original_book","book_id":"a31b1606-7526-4f42-a12d-1edcb41ff0e7","id":"a31b1606-7526-4f42-a12d-1edcb41ff0e7","uuid":"a31b1606-7526-4f42-a12d-1edcb41ff0e7","title":"DIGITAL LABOR THE INTERNET AS PLAYGROUND AND FACTORY","normalized_title":"digitallabortheinternetasplaygroundandfactory","author":null,"edition":null,"publisher":null,"year":null,"isbn":"9780415896948","isbns":["9780415896948","9780415896955","9780203145791"],"parsed":true,"ai_readable":true,"document_type":"book","page_count":267,"navigation_url":"https://workshop.closeclaw.top/ai/book/a31b1606-7526-4f42-a12d-1edcb41ff0e7","title_url":"https://workshop.closeclaw.top/ai/title/DIGITAL%20LABOR%20THE%20INTERNET%20AS%20PLAYGROUND%20AND%20FACTORY","fixed_page_url_template":"https://workshop.closeclaw.top/ai/book/a31b1606-7526-4f42-a12d-1edcb41ff0e7/page/{printed_page}","path_api_url_template":"https://workshop.closeclaw.top/api/ai/book/a31b1606-7526-4f42-a12d-1edcb41ff0e7/page/{printed_page}","read_url":"https://workshop.closeclaw.top/api/ai/read/a31b1606-7526-4f42-a12d-1edcb41ff0e7","page_url":"https://workshop.closeclaw.top/api/ai/books/a31b1606-7526-4f42-a12d-1edcb41ff0e7/page","search_url":"https://workshop.closeclaw.top/api/ai/books/a31b1606-7526-4f42-a12d-1edcb41ff0e7/search"},"page":{"printed_page":118,"pdf_page":125,"physical_index":125,"physical_index_base":0,"printed_page_status":"recognized","page_sha256":"7b915f3d9809d6321128e261c5e89fd01b4e1ae7e18f50f31570208bf3abd694"},"chapter":"DIGITAL LABOR","content":"But, of course, it is not so surprising that focusing on technoscientific modulation of potentiality, or what is referred to as affect above, points to a calculation or measure that is computationally open. After all, affect or potentiality cannot be measured without modulating it, or the far from equilibrium dynamics of its quantum condition, without affecting vectors of potentiality, moving potential toward actualization. It is for this reason that affect or potentiality as stated at the start of this essay have been thought to be immeasurable. But what Parisi refers to as the computationally open or the incalculable points to a kind of mathematics, a kind of measure that might very well enable measuring affect or potential. This is because the mathematics that operates in relationship to the digital architecture she is exploring engages with the curvilinear.\n\nIn her treatment of what she calls the digital prehension of a symbiotic architecture, Parisi returns to the ancient debate about the line and the curve, to those architectures that “seem too indebted to the finitude of the line and do not fully follow the labyrinth of the curve\" (Parisi 2009c: 349). She explores the development of parallelalgorithms that are moving software architecture beyond the genetic algorithms to a deployment of a “parasiting architecture\"for interactive art and media (Parisi 2009c: 348). This architecture allows for the “ingression of anunforeseencurvature\"and directs attention to à mathematics that attests to the viral ecologies or dense folds ofinformation between Os and 1s (Parisi 2009c: 363). These work as speculative activators of the future or potentiality. As Parisi puts it: “parallel algorithms are nested into each others’ activities, trading and distributing variations across milieu of interaction.\"This allows “simultaneous communication between different processors and the sharing of memory and message transmission.\" These communications involve many very simple algorithms, which, however, do not lead “to the evolution ofone algorithm or the other but to à new algorithmic behavior\"(Parisi 2009c:357).\n\nHere, Parisi draws on Lynn Margulis's conceptualization of endosymbiosis, concerning the origin of multicellular organisms or eukaryotes. Endosymbiosis differs from a genetics of cumulative selection of random mutations. Instead, evolution comes by way of parallel entities whose independent activity remains independently active in any new composite. Parallel processing cannot be contained in a single lineage, nor is it inheritable in a filiative fashion; it points instead to “a labyrinth in evolution\" (Parisi 2009c: 358). A symbiotic architecture of parallel algorithms then can take account of and effect experiential dimensions of what has not been experienced, or transition between blocs of space-time, from one state to another, virally transgressing boundaries. For Parisi, this is an abstract machine that entails “an engineering patchwork of partialities passing from one state to another, fusing and breaking into each other, and yet belonging together at points of transitions, which are less irreducible dots than inflections, critical thresholds, curvatures of imperceptible continuities\"or an “incomputable materiality” of “the insides of and spaces between atoms, the atomic and subatomic particles\" held together in virtuality (Parisi 2009a: 82). Thus, the symbiotic algorithm of software programmingaccounts for curvature as part of its computational design; it involves \"biomathematical features of extension\" (Parisi 2009c: 360).\n\n118\n\nInterrogating Modes of Digital Labor","previous_page":117,"next_page":119}