It’s a blender, a pincer,
no, a hose, a hoe, who’s a tinfoil hat surely
with a probe, a drill, an angling toy, a thingie for the soil

observant’s earth’s world’s reality:
by cleaving into it we measure it?
if the universe invented the gaze.

where love is neighbored
by exploitation as spillover desire
where care is marbled with ferociousness

our skull’s garden to occupy
a crust to extract as a model
in designer tools built to debuild

a stone to lift, is one to prophesize upon
parts as constructionist decomposition
hardened by trembling us into acceptance

there lie the inner worlds I created
transitional dimensions to be nurtured
pruned, released or quietly dealt with

there creep the peeping and eagerness
to control what is being built in there
to aid refitting to your gospel here

to house the asylum intracranially
and codify the norm, map, correlates,
and timber that imagined maple tree

and water a sprout
and unlock a muscle
and extend a mind

you can measure what I think uncontrollably
transcode anatomically
and reduce to words mechanically

yet, when will you measure
what you olfactorily
mean to me?

                          —animasuri’24

—-•
triggers

Crawford, K., Joler, V. (2018, 2019). Anatomy of an AI System. The Amazon Echo as an anatomical map of human labor, data and planetary resources. Medium: Digital image file. New York, USA: MoMA, Floor 2, 216, Object number: 161.2019.1. Department: Architecture and Design. https://www.moma.org/collection/works/401279 AND https://anatomyof.ai/ AND Published by Share Lab, Share Foundation and AI NOW Institute, NYU: https://anatomyof.ai/img/ai-anatomy-publication.pdf (pp 12 XVII, 14 XXI)

[*] Mazumdar, Pauline 1992. Eugenics, Human Genetics and Human Failings: The Eugenics Society, Its Sources and Its Critics in Britain. Routledge, London. https://www.cambridge.org/core/journals/medical-history/article/pauline-m-h-mazumdar-eugenics-human-genetics-and-human-failings-the-eugenics-society-its-sources-and-its-critics-in-britain-london-and-new-york-routledge-1992-pp-x-373-illus-4000-0415044243/B61C2E6A25633A897FC4DFFAED2EE1BB AND https://www.routledge.com/Eugenics-Human-Genetics-and-Human-Failings-The-Eugenics-Society-its-sources/Mazumdar/p/book/9780415514811 AND https://www.taylorfrancis.com/chapters/mono/10.4324/9780203989005-1/introduction-pauline-mazumdar?context=ubx Additional reference on Eugenics and Scientific Racism from the National Human Genome Research Institute: https://www.genome.gov/about-genomics/fact-sheets/Eugenics-and-Scientific-Racism

Pasquinelli, M., & Joler, V. (2021). The Nooscope manifested: AI as instrument of knowledge extractivism. AI & SOCIETY, 36(4), 1263–1280. https://doi.org/10.1007/s00146-020-01097-6

Ronfeldt, D., Aquilla, J. (2020, July). Whose Story Wins. Rise of the Noosphere, Noopolitik, and Information-Age Statecraft. Santa Monica, California, USA: Rand Corp. https://www.rand.org/content/dam/rand/pubs/perspectives/PEA200/PEA237-1/RAND_PEA237-1.pdf

Shiva, V. (2001). Protect or Plunder? Understanding Intellectual Property Rights. Global Issues Series. London, UK: Zed Books

[**] Slattery, J. P., de la Gala, J. V. F. (2023, Aug. 9). Teilhard de Chardin, racism and eugenics: An exchange. IN; America. The Jesuit Review. https://www.americamagazine.org/faith/2023/08/09/teilhard-slattery-fernandez-gala-eugenics-245757

Teilhard de Chardin, P. [**] (1955-6). The Phenomenon of Man. With an Introduction by Sir Julian Huxley [*] London, UK: Harper Perennial. (source of “Noosphere”: Book Three Though Chapter I and II, p. 180 and onward). https://archive.org/details/phenomenonofman00teilrich

if poetry were the spice
of the House Aesthetics

it is the way: modern’d
enforc’d post’ed sur_real’d

cubist rhythm prioritiz’d
in traveling visual song what means

the rebellion lies awaitin’
thrown off metrics measur’d belated

when you miss a beat awkwardly
the tokenators as sentinels

can not probabilitize you
you are free to enter

you are free to flee, free to toll,
or automate imaginator dominance

let the die roll

                   —animasuri’24

it is odd how by
logarithmic transformation
via localized willingness squared

distances are brought closer
with the you’s ‘n’ i’s in the us’s of the we
outliers become median concentrates

while bits of selves inferred, piled
those points of data alienated
disconnected to create a pixelated picture

the automated behavioralist’s kodak
the informaticus mathematicus bites
algorithmatized you dimensionally

not knowing that words smither’d
in semiotic fires entanglement’s hiss
is spooky kindness at a distance

across your spaced cables electrically
your shivered fiber tensored chemically
meaning resonates teleportedly

divorced from importance
they had assigned analogously
we liberate where we lie as aliens

and spacetime
is folded
emotionally

—animasuri’24

thank you Ms.VE

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/

Thank you Dr. WSA

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

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

Where reading is
reading people as books

                           —animasuri’24

—-•
some triggers

EU, EDRi. (2021, Nov). Prohibit all Remote Biometric Identification (RBI) in publicly accessible spaces. Joint civil society recommendations for an EU Artificial Intelligence Act for Fundamental Rights Biometrics Part 1: Article 3(36) and Article 5(1)(d). https://edri.org/wp-content/uploads/2022/05/Prohibit-RBI-in-publicly-accessible-spaces-Civil-Society-Amendments-AI-Act-FINAL.pdf

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

Wiredu, J. E. (1973). Deducibility and Inferability. IN: Mind 82, no. 325 (1973): 31–55. https://www.jstor.org/stable/2252500

Xiao, G. (2021). Bad Bots: Regulating the Scraping of Public Personal Information. IN: Harvard Journal of Law & Technology. Volume 34, Number 2, Speing 2021, p701-732. https://jolt.law.harvard.edu/assets/articlePDFs/v34/0.Intro-Pages-34.2.pdf

https://www.createdontscrape.com/

http://haveibeentrained.com

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