“we only recognize the Young-Girl when we eat what we are.” ~ tiqqun

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Joined 11 months ago
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Cake day: August 7th, 2023

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  • as someone who observes the interests of theology that has crossed disciplines with computer science, i should only speak from that regard, than as a web developer who puts a dog in the fight of competing styles, insofar as the styles bear ontological commitments. though, obviously the web is suffering in quality due to these dogmatic “software” “engineering” practices, it must be said. there’s a wider tendency to advance metaphors which make certain paradigms more attractive to some developers than others based on philosophical prejudices coming from having accepted aristotle’s agrilogistic axioms (law of noncontradiction, metaphysics of presence, essentialism). computer science is fundamentally ontotheological, not accidental, and engineers who follow martin are committed to a politicization of the object as more real than what objects are about. their style fails to purposefully and meaningfully ground fundamentally distributed applications, necessarily. someone might contrast martin against authors like brian cantwell smith, to see the orientation from which i speak.

    greater still, we’re seeing the outcome of what seems like decades of uncritical adoption of practices, what seems more like political movement than properly philosophical argumentation, everywhere in c.s. and wider applications of it.








  • the quantum level of description is a luxury:

    Conscious intentional communication, which we perhaps too hastily attribute to human beings as a mark of distinction, becomes a limited domain, the only domain where the distinction between desirable and ‘spurious’ uncertainty pertains. We may have to concede that the centrality of human communication, understood as a semantic and culturally saturated information system is, at least in principle, neither the first system in which information processes occur, nor necessarily the most efficient.



  • “Don’t for heaven’s sake, be afraid of talking nonsense! But you must pay attention to your nonsense.” - ludwig wittgenstein

    no, you just lack training in any intellectual discipline worthy of comment. you’ve got nothing but a racist “protest psychosis” to wield like a cudgel. you’re using jargon medical terms to force your wit around. you’ve got nothing worthwhile to discuss; or what you’re doing is you’re attempting to undermine the legitimacy of this entire subcommunity by pulling on heartstrings to get readership to associate mental illness with outstanding claims, while writing in a personable style with anecdotal associations.

    paid protesting is a thing. we have every reason to assume it here-now in 2023. other than that, schizophrenia is clinically indistinguishable from autism even to trained physicians. you’re acting like you’re doing anybody a favor by pretending to show such cheap care like your words originate from a sincere place. you’re just kicking tires.


  • let’s get you up-to-date in the 21st century. back in 2001 margaret runchey prototyped her unitary technology in “model of everything”, some patented stuff happening about ontological design just before jeff bezos’ “api mandate” (2002). now we’re assessing how to model transaction artifacts that [learn] or [fail not to learn] about their own copies or clones which “own people as data”.

    quote: Having a maker or owner is the source of identity. The record of civilization is charted in official claims of origination. We have institutionalized mechanisms for establishing authenticity, one of the purposes government serves. This critical step is missing in current electronic models that apply entity status and standing to define virtual transaction artifacts that own people as data.

    so, that’s copies of people [theorized as data objects or entities] depending on your philosophy of definition, not meaning. why such a modeling of people is valuable is a different question than how it works. interscience as defined by reproducibility, measurability, falsifiability, etc. as borne out has tended to become a failed project (“a.i.” was deemed a downside back in 2007). so then question of pedigree is not enough (valuability): mechanism independence, estimability (predictive power), testability, theory negotiability (conservatism), sizeability (modularity) of a model explains what some join baruch spinoza in calling the power of the multitude or “collective representations” or “manipulating shadows”* (as fielding and taylor put it).

    • fielding, r. t., and r. n. taylor. 2002. “principled design of the modern web architecture.” acm transactions on internet technology (toit) 2, no. 2:115–50.



  • what i’m trying to understand is the bridge between the quite damning works like Artificial Intelligence: A Modern Myth by John Kelly, R. Scha elsewhere, G. Ryle at advent of the Cognitive Revolution, deriving many of the same points as L. Wittgenstein, and then there’s PMS Hacker, a daunting read, indeed, that bridge between these counter-“a.i.” authors, and the easy think substance that seems to re-emerge every other decade? how is it that there are so many resolutely powerful indictments, and they are all being lost to what seems like a digital dark age? is it that the kool-aid is too good, that the sauce is too powerful, that the propaganda is too well funded? or is this all merely par for the course in the development of a planet that becomes conscious of all its “hyperobjects”?





  • first comment,

    If the conventional wisdom is correct, Bayesianism is potentially wrong (it’s not part of the Standard Approach to Life), and [certainly useless] […]

    what was actually said:

    the abandonment of interpretation in favor of a naïve approach to statistical [analysis] certainly skews the game from the outset in favor of a belief that data is intrinsically quantitative—self-evident, value neutral, and observer-independent. This [belief excludes] the possibilities of conceiving data as qualitative, co-dependently constituted. (Drucker, Johanna. 2011. “Humanities Approaches to Graphical Display.”)

    the latter isn’t even claiming that the bayesian (statistical analysis) is “useless” but that it “skews the game […] in favor of a belief”. the very framing is a misconstrual of the nature of the debate.