Banner, J. M. Jr. (2021). The Ever-Changing Past: Why All History Is Revisionist History. Yale University Press.
Banner, J. M. jr. (2022). All History Is Revisionist History. Ever since Thucydides dismissed Herodotus, historians have differed about the past. IN: Humanities. The Magazine of the National Endowment for the Humanities. Summer 2022 issue. Online: National Endowment for the Humanities (NEH). https://www.neh.gov/article/all-history-revisionist-history
Bassett, C. (2019). The computational therapeutic: exploring Weizenbaum’s ELIZA as a history of the present. IN: AI & Soc 34, 803–812 (2019). https://doi.org/10.1007/s00146-018-0825-9
Wonder is while extensive extensively challenged censored, ridiculed until claimed kaput
it is
extrinsically debased, fought as frivolous flâneuring or excommunicated to pampered youth
it is
It is intrinsically tickled, harvested and fermented as kefir flowers overwhelming the milk jar
it is
wonder as life has a way to bloom disautomated, in the aridest of mechanical deserts
it is
as that brain occurring in the cosmos with likelihood of monkey’s Shakespeare and yet
it is
wonder as key welcoming entrance glimpses onto the limen of the real
I wonder: is it
—animasuri’24
—-• trigger
Hofstadter, D. (2023, July 13). Learn a Foreign Language Before It’s Too Late. AI translators may seem wondrous but they also erode a major part of what it is to be human. IN: Ideas. Online: The Atlantic. https://www.theatlantic.com/ideas/archive/2023/07/the-terrible-downside-of-ai-language-translation/674687/
In the asylum of the algorithm “there is no democracy”
“Inmates are tracked without their consent, into well-demarcated groups”
If it becomes painful, think someone’s ode becomes the poetry of
our social relations and in that panopticon you no longer have to worry
about accountability about care the algorithm is about and its pincer-grip
is the new groping of online submission to an all-blinding eye.
—animasuri’24
—- trigger
Albert, D. (2001, Sep 5). Introduction. IN: Gatto, J. T. (1992, 2005). Dumbing Us Down. The Hidden Curriculum of Compulsory Schooling. p. xvii (Introduction). Gabriola Island, Canada: New Society Publishers. Last retrieved on September 7, 2023 from https://archive.org/search?query=Dumbing+Us+Down
Some say I’m too rational, no, too realistic, when I say: one day I will die; not
at this particular moment of writing this ‘not,’ so: no need for dismay, not to fray
From there, our shared fabric, I reverse imagineered as trompe l’œil: always in our shared compound minds
of living life to the fullest here and now back to this exact mindful moment: back to this instant sensation, actually,
of living with you with care, with kindness: with simple daily work we can do; together.
as I had my synthetic constructs output, choreographically, to visceral and venerable visitors: at the wooden gate of our city state
today we live, today we think, today we do:
—animasuri’24
Bridges A. D., Chittka L. (2023) Escaping anthropocentrism in the study of non-human culture: Comment on “Blind alleys and fruitful pathways in the comparative study of cultural cognition” by Andrew Whiten. Physics of Life Reviews 44, 267-269 DOI: https://doi.org/10.1016/j.plrev.2023.01.008
Bridges A. D., MaBouDi H., Procenko O., Lockwood C., Mohammed Y., Kowalewska A., Romero-Gonzalez E., Woodgate J. L. & Chittka L. (2023) Bumblebees acquire alternative puzzlebox solutions via social learning. PLoS Biology21(3): e3002019 DOI: https://doi.org/10.1371/journal.pbio.3002019
Annabelle lives in a place where bookshelves are censored wooden, plastic, woven reed these controlling tangibles are controlled and outlawed here
Andrew on the other hand lives where colophons are; you know, these things with title, names , year of print or anything to identify source cut out, filtered out, out dated these are
Alisha lives in a place where paper is contraband surely papyrus, parchment, leather-bound or anything scraped for scraps with ink blobs, ink odor, or ink smear are controlled substances
Ali on the other hand lives where the word ‘literature’ gets uttering people band and ‘bande dessinée’ is a withering underground silent-musical theater group
All live in a world where inference is an only source connecting the dots where others had not trigger-happy mines of bitter patterns secret assets as test data groups driven by Moore’s Law and redacted data
Kummer, M., Stephan, F. (1996). On the Structure of Degrees of Inferability. IN: Journal of Computer and System Sciences 52, no. 2. April 1, 1996: 214–38. https://doi.org/10.1006/jcss.1996.0018
Lavigne, S. (2023). Scrapism: A Manifesto. Online: Critical AI. Volume 1, Issue 1-2, October 1, 2023. Rutgers University/ Duke University Press. https://doi.org/10.1215/2834703X-10734046
Wachter, S., Mittelstadt, B. (2018, Oct. 12). A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI. Online: Open LawArXiv Repository. https://doi.org/10.31228/osf.io/mu2kf
Automated summaries, summon trust, brazenly bridging voids of knowing and relevance.
Not penned are the words, therefore thou dost trust; not perused the manuscript, therefore ye trust.
Consequential trust, as thy rigid law of physics, a gravitational pull to machined rule, a law of efficient attraction, it demands what ye shall not know.
Not having experienced the theme, therefore thou dost trust; not lived its corpus, therefore ye trust.
Revision of relevance to the unread, awaken, succumbing to insights undead, machined authority from a life unlived, and cleverness uncorporated.
Thou knowest not the author, the thought, the action, the clockmaker, the bricklayer, nor thy need, serendipitously found.
Therefore, thou shalt come to co-live a circular gist, lacking lived experience’s necessity, or intentionality of the read.
—animasuri’24
— triggers
Dreyfus, H. L. (1992). What Computers Still Can’t Do. A Critique of Artificial Reason. Boston, MA: MIT Press
Searle J.R. (1980). Minds, Brains, and Programs. IN: Behavioral and Brain Sciences. 1980;3(3):417-424. doi:10.1017/S0140525X00005756
Real word Actual word: think of one. Tangible word
Intangible word Ephemeral word: don’t think of one. Solid word
Concrete word Fake word: think of one. True word
Right word Wrong word: don’t think of one. Good word
Bad word Strong word: think of one. word!
how do these differ if non exist, yet each can hurt ‘n’ flirt
it’s fact it’s so unless
if output is adjectivally cleaned then < ignore: output >
if output is silence and silence is performance then output
—animasuri’24
—-•
triggers
Benasayag, M., Rendall, S. (2021). Tyranny of Algorithms: Freedom, Democracy, and the Challenge of AI. New York, USA: Europa Editions.
Chase, S. (1933, 1966). The Tyranny of Words. London, UK: A Harvest/ HBJ Book. https://archive.org/search?query=the+tyranny+of+words
Feffer, M., Heidari, H., Lipton, Z. C.(2023, May 26). Moral Machine or Tyranny of the Majority? Online: arXiv https://doi.org/10.48550/arXiv.2305.17319.
Gaus, G. (2016). The Tyranny of the Ideal: Justice in a Diverse Society. Princeton, New Jersey, USA: Princeton University Press.
Glukhov, D., Shumailov, I., Gal, Y., Papernot, N., Papyan, V. (2023, July 20). LLM Censorship: A Machine Learning Challenge or a Computer Security Problem? https://doi.org/10.48550/arXiv.2307.10719 AND https://www.cl.cam.ac.uk/~is410/Papers/llm_censorship.pdf
Li, L., Sha, L., Li,Y., Raković, M., Jia R., Joksimovic, S., Selwyn, N., Gašević, D., Chen, G. (2023). Moral Machines or Tyranny of the Majority? A Systematic Review on Predictive Bias in Education. In LAK23: 13th International Learning Analytics and Knowledge Conference (LAK2023). Association for Computing Machinery, New York, NY, USA, 499–508. https://doi.org/10.1145/3576050.3576119
Shapley, S. (2023). SemanticGPT. GPT's mind using Logit Bias. https://github.com/samshapley/SemanticGPT
Belabbes, M. A., Ruthven, I., Moshfeghi, Y., & Pennington, D. R. (2022). Information overload: A concept analysis. IN: Journal of Documentation, 79(1), 144–159. https://doi.org/10.1108/jd-06-2021-0118
Benselin, J. C., & Ragsdell, G. (2016). Information overload: The differences that age makes. IN: Journal of Librarianship and Information Science, 48(3), 284–297. https://doi.org/10.1177/0961000614566341
Daniel Manzoni de Almeida, Paula Seixas Mello, Silvia Luzia Frateschi Trivelato, Patricia Marzin-Janvier, Jean Rodrigues Siqueira, & Marsilvio Gonçalves Pereira. (2019). A case study in the teaching of immunology: written arguments and the counter-inductive method of Paul Feyerabend. Revista Brasileira de Ensino de Ciência e Tecnologia. https://periodicos.utfpr.edu.br/rbect/article/view/6691
Darnell, J.A., Gopalkrishnan, S. (2023). Digital Information Overload: How Leaders Can Strategically Use AI to Prevent Innovation Paralysis. IN: Pfeffermann, N., Schaller, M. (eds) New Leadership Communication—Inspire Your Horizon. Springer, Cham. https://doi.org/10.1007/978-3-031-34314-8_14
Ferguson, A. N, Franklin, M., & Lagnado, D. (2022). Explanations that backfire: Explainable artificial intelligence can cause information overload. Proceedings of the Annual Meeting of the Cognitive Science Society, 44. Retrieved from https://escholarship.org/uc/item/3d97g0n3
Siegel, M. G., Rossi, M. J., & Lubowitz, J. H. (2024). Editorial: Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload. Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association, S0749-8063(24)00012-4. Advance online publication. https://doi.org/10.1016/j.arthro.2024.01.007
