So, my thesis 'Expectations and Expertise in Artificial Intelligence: Specialist Views and Historical Perspectives on Conceptualisation, Promise, and Funding' is now available (without embargo, because my joyful journey's information wants to be free).🖤❤ https://t.co/jWHSY5lR3v

Note 176. I love the very careful, anticolonialist, use of "directly or indirectly" here. 177/n(?)

Note 175. And again, if hype is a form of fictitious capital, it still applies that as long as hype exists and becomes normalised as value in everyday transactions, it creates the demand for more hype. 176/n(?)

Note 174. Continuation of the stellar debate on terminological confusion as to what constitutes money, capital, floating capital, and so on, proving again that more contemporary debates on algorithms, AI, information, data, ML (etc) are the same "smokescreen of jargon." 175/n(?)

Note 173. If hype is indeed a form of credit, can we talk about hype "import," especially by less wealthy countries or communities or marginalised and oppressed people? Perhaps this is the central question all along. 174/n(?)

Note 172. The meaning of this passage becomes even more interesting if we replace "industrial cycle" with "hype cycle." Interesting footnote on the relationship between durations of the cycles (c.f. different durations of "AI winters") and regions with power of crises. 173/n(?)

Note 171. Here hype can be understood as the "speculative element" or "confidence" that has to dominate transactions due to market expansion, prolongation of credits, and superabundance of accumulated materials (e.g. we had to do something with all the superfluous data). 172/n(?)

Note 170. The metaphor of credit changing hands with a mild (antiableist?) disagreement by Engels is intriguing. Does power (credit) (im)balance imply we all partake in the power game? Wish Nietzsche had enter the discussion. 171/n(?)

NEW PYNCHON NOVEL?????? https://t.co/EgDhPpKdT1

Note 169. And, thanks to Marx, I finally understood what "entrepreneur" means. Is this the time when I tag Elon to take a look in these notes? 170/n(?)

Note 168. Once again: Capitalists, through speculative practices (hype), transform into managers/administrators, also known as "promoters" in service of the "superstructure of credit." They become "pure adventurers" (venture capitalists), swindler-prophet hybrids. 169/n(?)

Note 167. More on the above "terminological anxiety" (to use a term by Seaver about algorithms) on what money, capital, and interest are, always with Marx's vitriolic humour. 168/n(?)

Note 166. Marx, the humourist, is a also a stellar teacher in qualitative document discourse analysis. It is demonstrated here that terminology-based boundary work about what AI, data, algorithms, information (etc) "are," was preceded by debates on capital and money. 167/n(?)

Note 165. More on the power of speculation in capitalism. I think "speculative realism" may disadvantaged critical studies by capitalising on the term "speculation" as something positive distancing it from critique on the basis of futures, hype, promise, and expectation. 166/n(?)

Note 164. So, all money is hype and all hype is money. Credit circulates as "bills of exchange," as "confidence," as "written obligations" (progressively informal), as "promissory notes," with "trade and speculation" being increasingly allied. Thanks Scottish banks! 165/n(?)

Note 163. Capital-as-fetish then progresses via Mathusian economics (as AI progresses though "Moore's law" and singularity arguments) becoming self-referential (loans to pay loans, AI to detect AI) - no coincidence that "automaton" is used as metaphor here. And Moloch. 164/n(?)

Note 162. At last, the chapter on fetish. Enlightening if one uses tools like the sociology of expectations ("fetishisation of the new"); sets Suchman's recent concept of AI's "uncontroversial thingness" into context. Capital (and AI) become "pregnant" with themselves. 163/n(?)

Note 161. As someone born in Greece and spending time depreciating Aristotle on every occasion, really glad to see these passages showing the ancient grecolatin theorisation of "natural slavery" directly extending to contemporary managerial work through supervision. 162/n(?)

Note 160. A reminder for every time one is tempted to "take sides" when big tech internet/AI companies seem to have beefs, especially about who exploits labour "better." 161/n(?)

Note 159. Conversations about loans, credit, and stock exchange foresee those of hype. Here, an ironic comparison in terms of accuracy - stock forecasts presenting themselves as more accurate than barometer/thermometer measurements in meteorology. Cf. certainty trough. 160/n(?)

Note 158. Always intriguing to see how Marx's boundary work between what is "empirical" and "accidental" and what is "necessary" (Marxism would need to wait for Monod to reconciliate the two). Also fascinating to see his environmentalist irony on tree tax and dog tax. 159/n(?)