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
there are five colors. yellow, orange, green, blue and red.
I need all, all possible combinations starting off with the set of two,
followed by the set of three, then four combinations and ending with the set of five.
the order of the colors is important. that means, a set of ‘yellow | orange’ is different from a set of ‘orange | yellow’.
all possible combinations should be listed. also provide sets of multiples of the same color. so, for instance: ‘orange | orange.’
do not skip any combination since I need to copy paste all into a different document.
so all should be listed and all written out in long-form. do not abbreviate, do not cut corners
the format should remain persistent across all sets. that is, for instance: ‘a color | a color | a color’
the devider within one set is always ‘|’ while the devider between sets is always ‘,’.
execute. create, copy, reorder: become colorful.
—animasuri’24
—-• triggers
Baertschi, B. (2014). Human Dignity as a Component of a Long-Lasting and Widespread Conceptual Construct. Journal of Bioethical Inquiry, 11(2), 201–211. https://doi.org/10.1007/s11673-014-9512-9
Copeland, S. (2017). On serendipity in science: Discovery at the intersection of chance and wisdom. Synthese, 196(6), 2385–2406. https://doi.org/10.1007/s11229-017-1544-3
Kefalidou, G., & Sharples, S. (2016). Encouraging serendipity in research: Designing technologies to support connection-making. International Journal of Human-Computer Studies, 89, 1–23. https://doi.org/10.1016/j.ijhcs.2016.01.003
Liang, T. (2023). Unveiling the Ecological and Naturalistic Views in Zhuangzi’s Daoism: Exploring the Concept of “The Usefulness of Uselessness.” IN: Proceedings of the 2023 5th International Conference on Literature, Art and Human Development (ICLAHD 2023) (pp. 346–352). https://doi.org/10.2991/978-2-38476-170-8_38
Nishikawa-Pacher, A. (2022). Measuring serendipity with altmetrics and randomness. Journal of Librarianship and Information Science, 55(4), 1078–1087. https://doi.org/10.1177/09610006221124338
Ramsey, R. E. (2012). On the Dire Necessity of the Useless: Philosophical and Rhetorical Thoughts on Hermeneutics and Education in the Humanities. IN: Fairfield 2012: 91- 106. (Chapter 6). Thank you Dr. WSA.
Shumailov, I., Shumaylov, Z., Zhao, Y., Gal, Y., Papernot, N., Anderson, R. (2023, May 31). The Curse of Recursion: Training on Generated Data Makes Models Forget. https://doi.org/10.48550/arXiv.2305.17493.
Treusch, P., Berger, A., & Rosner, D. K. (2020). Useful Uselessness? Proceedings of the 2020 ACM Designing Interactive Systems Conference, 193–203. https://doi.org/10.1145/3357236.3395582
von Hippel, E. A., & von Krogh, G. (2013). Identifying Viable ‘Need-Solution Pairs’: Problem Solving Without Problem Formulation. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2355735
Willems, L., Wade, E., Herbert, R., & Plume, A. (2022). Tales of the Unexpected: Designing for Serendipity in Research [ICSR Perspectives]. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4048549
To some human life experienced —as an accumulation of rejection with access just around the corner— is right over that next hill
Have you forgotten, dear?
now can not be measured it is being surrendered to the next without anticipation of past nor coming a raw material fondling patine from usage
Have you, dear?
value radiates outward it is never for the taking trapped in vaults by fund handlers handling your fun
Have dear?
unicorns, gray rhinos, black swans 30 below 30, vested interests and hip nuns staring straight, stiff upper lip prancing cameras, shoulders with a chip
Dear?
Have some tea without tea it soothes
it flows it grounds .
—animasuri’24
—-• triggers
Buhmann, A., & Fieseler, C. (2023). Deep Learning Meets Deep Democracy: Deliberative Governance and Responsible Innovation in Artificial Intelligence. Business Ethics Quarterly, 33(1), 146–179. doi:10.1017/beq.2021.42
Celik, Ismail. (2023, Sep 1). Exploring the Determinants of Artificial Intelligence (AI) Literacy: Digital Divide, Computational Thinking, Cognitive Absorption. IN: Telematics and Informatics 83 102026. https://doi.org/10.1016/j.tele.2023.102026.
Güngör, H. (2020). Creating Value with Artificial Intelligence: A Multi-stakeholder Perspective. Journal of Creating Value, 6(1), 72-85. https://doi.org/10.1177/2394964320921071
Krive, J., Isola, M., Chang, L., Patel, T., Anderson, M., & Sreedhar, R. (2023). Grounded in reality: artificial intelligence in medical education. JAMIA open, 6(2), ooad037. https://doi.org/10.1093/jamiaopen/ooad037
Sætra, H. S. (2020). A Shallow Defence of a Technocracy of Artificial Intelligence: Examining the Political Harms of Algorithmic Governance in the Domain of Government. IN: Technology in Society 62 (August 1, 2020): 101283. https://doi.org/10.1016/j.techsoc.2020.101283.
Zucker, J.-D. (2003). A Grounded Theory of Abstraction in Artificial Intelligence. Philosophical Transactions: Biological Sciences, 358(1435), 1293–1309. http://www.jstor.org/stable/3558222
“I dislike this plant,” broadcasted Janice as it had turned
towards her window “why does it do that?” staring reasoning rays
as signs vectored in her eyes subjecting laws to dicing will she blinked first and probably twice
the world was scrolling her by as clocks virtualized clicks through spacetime
“I will turn you around” she imagined Earth blaming Sun setting
relatively rising hopes for Janice to be personal, directed at the center of it all
when “I want to turn only as far”
—animasuri’24
—-• some triggers
Adesso, G.,Franco, R. L., Parigi, V. (2018). Foundations of quantum mechanics and their impact on contemporary society. IN: Philosophical Transactions of the Royal Society: Mathematical, Physical and Engineering Sciences, vol. 376, no. 2123, Jul. 2018. https://royalsocietypublishing-org.libproxy.ucl.ac.uk/toc/rsta/376/2123
Kuhn, T. S. (1962, 2012) The Structure of Scientific Revolutions. 4th ed. Chicago, IL: University of Chicago Press. (think: ducks turning rabbits and vice vera) https://archive.org/details/structureofscien0000unse
Groveling for attention attribution in detention misinformation running amok words as fruits with pebbles to choke
ah quotes, the earliest hallucinogenic machine, spewing authority as if bricks to brains
feeding on gullibility and hopes no mind to check veracity with tenacity of source ‘n’ find
in words by others unfound sparkly words, wisdom words indeed for instance referable as Twain’s —not Twain
as transformers of shaping perception solid architecture tooled to deception
looking solid to a fast passer-by on a riverboat ‘n’ expanding railroads as unverified unified authenticity as data auditing the world
revisionism incorporated where echoes of utterance come to die yet stay digitized fresh thought finds triggers iterated
to twig Twain’s quotes as —not Twain, be stubborn denial in vein —not Twain, capitulated to:
it a Twain a train —not Twain a world quoted sane
that, what could have been so —Can, Be So.
—animasuri’24
—-• some triggers
Berton, G., Petrovic, S., Ivanov, L., Schiaffino, R. (2016). Examining the Thomas Paine Corpus: Automated Computer Authorship Attribution Methodology Applied to Thomas Paine’s Writings. In: Cleary, S., Stabell, I.L. (eds) New Directions in Thomas Paine Studies. Palgrave Macmillan, New York. https://doi-org.libproxy.ucl.ac.uk/10.1057/9781137589996_3
Boller, P. F., & George, John. (1990). They Never Said It : A Book of Fake Quotes, Misquotes, and Misleading Attributions. (1st ed.). Oxford University Press USA
Breakstone, J., McGrew, S., & Smith, M. (2024). Measuring what matters: Investigating what new types of assessments reveal about students’ online source evaluations. Harvard Kennedy School Misinformation Review. https://doi.org/10.37016/mr-2020-133
Habib, S., Vogel, T., Xiao, A., & Thorne, E. (2024). How does generative artificial intelligence impact student creativity? Journal of Creativity, 34(1), April 2024. Article 100072. https://doi.org/10.1016/j.yjoc.2023.100072
Lapeña, J. F. F. (2010). Plagiarism and Plunder: Fabrication and Falsification. Philippine Journal of Otolaryngology Head and Neck Surgery, 25(2), 4–5. https://doi.org/10.32412/pjohns.v25i2.617
Martino, A., Iannelli, M., & Truong, C. (2023). Knowledge Injection to Counter Large Language Model (LLM) Hallucination. IN: C. Pesquita, H. Skaf-Molli, V. Efthymiou, S. Kirrane, A. Ngonga, D. Collarana, R. Cerqueira, M. Alam, C. Trojahn, & S. Hertling (Eds.). (2023). The Semantic Web: ESWC 2023 Satellite Events (Vol. 13998, pp. 182–185). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43458-7_34
not Twain, M. https://lnkd.in/ep52iTMt
Teurlings, J. (2013). From the society of the spectacle to the society of the machinery: Mutations in popular culture 1960s–2000s. European Journal of Communication, 28(5), 514-526. https://doi.org/10.1177/0267323113494077
until the hand rocks it as stoning to end dialogue
and the model becomes negative space for you to be reformed
and yet,
—animasuri’24
—-•
some triggers
Blain, S. D., Longenecker, J. M., Grazioplene, R. G., Klimes-Dougan, B., & DeYoung, C. G. (2020). Apophenia as the disposition to false positives: A unifying framework for openness and psychoticism. Journal of Abnormal Psychology, 129(3), 279–292. https://doi.org/10.1037/abn0000504
Casten, JD. (2012). PartII • Major Advances in the Philosophical History of Cognitive Conceptualism. Chapter 22. Derrida: The Subject of Deconstruction
Situating the Future (p465) • The Copy before the Original? (pp474-478) IN: Casten, JD. (2012). Cybernetic Revelation. Deconstructing Artificial Intelligence. https://philpapers.org/archive/CASCRD-2
Elder, J. H., Goldberg, R. M. (2002). Ecological statistics of Gestalt laws for the perceptual organization of contours. IN: Journal of Vision 2002;2(4):5. https://doi.org/10.1167/2.4.5.
Llach, D. C. (2021). Sculpting Probabilistic Spaces: Brief History and Prospects of Machine Learning in Design. IN: As, I., Basu, P.(2021). The Routledge Companion to Artificial Intelligence in Architecture. London: Routledge
Fiebrink, R. (2015). Data as design tool. How understanding data as a user interface can make end-user design more accessible, efficient, effective, and embodied, while challenging machine learning conventions. IN: International Conference on Auditory Display (ICAD) 2015. Graz, Austria 8-10 July 2015. [Conference or Workshop Item] https://research.gold.ac.uk/id/eprint/17626/ AND
https://research.gold.ac.uk/id/eprint/17626/1/ICAD%20Proceedings%2015-Keynotes.pdf
Rodighiero, D., Wandl-Vogt, E., Carsenat, E., Jules, D., Elias, O., Fragner, M., & Farkashazy, S. (2022). Immersive Architectures for Visual Data Literacy. Information Design Journal, 27(3), 295-308. https://doi.org/10.1075/idj.22016.rod
Kiefer, C. Ziegler, T., Tensen, M., Hahn, A., Wassmuth, N., Rymer, P., Marbach, B. (2022). AI Sculpting co-creation in the age of artificial intelligence. Online, Berlin, Germany: onformative. studio for digital art and design.
https://onformative.com/work/ai-sculpting/
Su, K. (2020). Cluster Diffusing Shuffles. (clustering illusion). Thesis: University of Illinois at Urbana-Champaign. https://arxiv.org/pdf/2006.09874.pdf
Tensen, M., Hahn, A., Kiefer, C. Wasmuth, N., Marbach, B. (2022). Reinforcement Learning applied to sculpting: A technical story of AI craftsmanship. Online, Berlin, Germany: onformative. studio for digital art and design. https://docs.google.com/document/d/1Ug88-bEwDw1oJA_BRlZwM9Aj7RM-HfrUBiLd8mKVPoQ/mobilebasic
Wang, C.,Yu, L., Mo, Y.,Wood, L.C., Goon, C. (2022). Pareidolia in a Built Environment as a Complex Phenomenological Ambiguous Stimuli. IN: Int. J. Environ. Res. Public Health 2022, 19, 5163. https://doi.org/10.3390/ijerph19095163 AND https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103170/
preserved under continuous transformation kept oversight over sight localized as lice in carpet space fabric in pure and only gel
“I can’t see it, I’m in it” is it the ultimate human paradox, engine, predicament the child in the pen the astronaut above paper
invitation to persistence for practical abstractions of change and can-do attitudes we do not only write in our minds ignoring the flow being in thought
of dynamic information confused as memorial and ritual acting now to overlasting monuments of memory as steel-as-water for topology vectored for change
I can see you do yet can’t see myself we smile and just might continue the way an angular momentum of each being hidden in plane sight
—animasuri’24
—-• some triggers
Almgren K., Kim M., Lee J. (2017). Extracting Knowledge from the Geometric Shape of Social Network Data Using Topological Data Analysis. Entropy. 2017; 19(7):360. https://doi.org/10.3390/e19070360
Nooter, S. (2023). Greek Poetry in the Age of Ephemerality. Cambridge: Cambridge University Press. Writing the Future: Pindar, Aeschylus, and the Tablet of the Mind. (n.d.) (pp. 165–194). Part II -Text. chapter 5. Thank you Dr. WSA.
Rostain, S., Dorison, A., Prümers, H., Pennec, J.-L., Mejía Mejía, F., Freire, A. M., Pagán-Jiménez, J. R., Descola, P. (2024). Two thousand years of garden urbanism in the Upper Amazon. IN: Science 383,183-189 (2024). DOI:10.1126/science.adi6317
Weisstein, Eric W. (1999-2024). Hilbert Space. IN: MathWorld; A Wolfram Web Resource. https://mathworld.wolfram.com/HilbertSpace.html “A (small) joke told in the hallways of MIT ran, ‘Do you know Hilbert? No? Then what are you doing in his space?’ (S. A. Vaughn, pers. comm., Jul. 31, 2005).” Indirectly triggered by https://lnkd.in/g2D9WGmythank you Prof. Marc Cavazza.
ideas are cheap as are microbes entities entitled to be ignored expensive when dismissed festering or withering alike
said to influence thoughts, emotion perhaps cognition, behavior, interaction who imagines consciousness
they house complex ecosystems Intricate communities astonishing architectures hidden lines of communication blushed upon depths of relations
they are the gods of the gut the piping that connects us the channels of chatter are housing life as we speak as we almost psychotically claim as deny
as datapoints unmeasured inferred speculatively the gem of a germ convoluted as with ideas bugs battering with bother
To some things, they are hallucination as a math menace perhaps different from adding one and one claiming four
In the flesh though “it’s what you know for sure that just ain’t so” that makes the authoritative world of microbes and ideas
go round
—animasuri’24
—-• triggers
Clark, A., Chalmers, D. (1998). The Extended Mind. IN: Analysis, Volume 58, Issue 1, January 1998, Pages 7–19, https://doi.org/10.1093/analys/58.1.7
Cryan, J. F., & Dinan, T. G. (2012). Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. IN: Nature reviews. Neuroscience, 13(10), 701–712. https://doi.org/10.1038/nrn3346
Heersmink, R. (2017). “A Virtue Epistemology of the Internet: Search Engines, Intellectual Virtues and Education.” Social Epistemology, 31(1), 1-12. https://philpapers.org/rec/HEEAVE
Lessig, L. (2006). Code: Version 2.0. Basic Books. Open Access: http://codev2.cc/
Mauro, G., Moretti, R., Tiribelli, C. (2023). Gut Microbes Meet Machine Learning: The Next Step towards Advancing Our Understanding of the Gut Microbiome in Health and Disease. IN: International Journal of Molecular Sciences 24, no. 6 (January 2023): 5229. https://doi.org/10.3390/ijms24065229.
Mayer, E. A., Knight, R., Mazmanian, S. K., Cryan, J. F., & Tillisch, K. (2014). Gut microbes and the brain: paradigm shift in neuroscience. The Journal of neuroscience : the official journal of the Society for Neuroscience, 34(46), 15490–15496. https://doi.org/10.1523/JNEUROSCI.3299-14.2014
Sarkar, A., Lehto, S. M., Harty, S., Dinan, T. G., Cryan, J. F., & Burnet, P. W. J. (2016). Psychobiotics and the Manipulation of Bacteria-Gut-Brain Signals. Trends in neurosciences, 39(11), 763–781. https://doi.org/10.1016/j.tins.2016.09.002
Slaby, J., & Gallagher, S. (2015). “Critical Neuroscience and Socially Extended Minds.” Theory, Culture & Society, 32(1), 33-59.
Smart, P., Heersmink, R., Clowes, R.W. (2017). The Cognitive Ecology of the Internet. IN: Cowley, S., Vallée-Tourangeau, F. (eds) Cognition Beyond the Brain. Springer, Cham. https://doi.org/10.1007/978-3-319-49115-8_13
