Category Archives: The field of AI

<< schleichwerbung >>

Large Language Models
if museums of the future
scamper pixels and tokens
of probabilistic revisionist histories

I’d put the Neanderthal individual
next to the Moai statue
it’s probable, it’s been repeatedly seen: in a movie;

it serves by purpose now
it divorces oral text from scribed tale
hacked for the heck of it

covertly hoping
for the best placements
not to ruffle feathers

its totalitarian cleansed history
satisfies enforced-majorities
and yet disturbs

the forgotten memory
of the discomforting
perceived-few

                  —animasuri ‘24

—-•
triggers

Atleson, M. (2023, Feb 27). Keep your AI claims in check. Blog: Federal Trade Commission (FTC). https://www.ftc.gov/business-guidance/blog/2023/02/keep-your-ai-claims-check

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

Berghel, H. (2024). Generative Artificial Intelligence, Semantic Entropy, and the Big Sort. IN: Computer, vol. 57, no. 01, pp. 130-135, 2024. https://doi.ieeecomputersociety.org/10.1109/MC.2023.3331594

Donovan, M. (2023, April 11). How AI is helping historians better understand our past. The historians of tomorrow are using computer science to analyze how people lived centuries ago. IN: MIT Technology Review. Online: Artficial Intelligence. https://www.technologyreview.com/2023/04/11/1071104/ai-helping-historians-analyze-past/amp/

Edwards, B. (2024, Feb 23 ). Google’s hidden AI diversity prompts lead to outcry over historically inaccurate images. Inserting depictions of diversity into AI images creates revisionist history, critics say. Online: Ars Technica. https://arstechnica.com/information-technology/2024/02/googles-hidden-ai-diversity-prompts-lead-to-outcry-over-historically-inaccurate-images/

Passenger Wieck, L. (2023, Aug 15). Revising Historical Writing Using Generative AI. An Editorial Experiment. Online: Perspectives on History. The Newsmagazine of the American Historical Association. https://www.historians.org/research-and-publications/perspectives-on-history/summer-2023/revising-historical-writing-using-generative-ai-an-editorial-experiment

Stoked-Walker, C. (2024, Feb 21). Google’s Gemini AI was mocked for its revisionist history, but it still highlights a real problem. Online: Fast Company. https://www.fastcompany.com/91034044/googles-gemini-ai-was-mocked-for-its-revisionist-history-but-it-still-highlights-a-real-problem

<< Spatial Compute >>

I want to struggle for style
sweat for reference
am thrilled by a find
browsed by working through

a text by an author
of that spaced magic
sidelines with scribbles
I think of as meaning

I want to touch
cut skin as crisp compute
calculated indices
on paper and dirt

sides of hands and dirt
slides of charcoal with ink
with clay under nails
as eroding error 404s

I click you on, do I
I turn it off, don’t I
I step in space, am I
won’t we tango, won’t I

swirl this page turner
in the privacy of
an eye on fiber and
one pincer-grip on fire:

I’m, in your story now, ain’t I.

                 —animasuri’24

<< wonder >>

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

<< Accountability >>

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

<< Criticality >>

critical theorist
critical of practice
critically practicing theoretical thought of
tautological angles or paradoxicalities
on how to be defrocking angelic bends

critical cook
critical of ingredients
cringingly critiquing clientele
and groping bus boys ‘cause no one will tell
and their deadly silence is golden

critical autonomous
-weapon manufacturer
critically self-aware of collaterality
considering diversifying ‘n’ circular economics
critically handpicking raw materials

critical sociopath wannabes
critically of who to pick on
or how to measure greediness
critiquing their affect on well-being of others
and which cleaning product
is not eco-friendly

criticality confused
with sarcasm and bitterness
anti-flowerpower analysis
or happy-happy-joy-joy engine grease
with a flair of matchmaking
contradiction into ambiguity

critically compassionate
digitally on-off warped mirrors
disembodied bit-sized conserving
automated critical friend of pasts

“smile,” said the autonomous jester,
“you’re on candid camera!”
winking seriousness entwined caring
for another day

—animasuri’24

<< Queen Bee of Synths >>

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 44267-269 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 Biology 21(3): e3002019 DOI: https://doi.org/10.1371/journal.pbio.3002019 

Chittka L. (2022) “Personality” differences between bees. Natural History, 922(3):16-23. http://chittkalab.sbcs.qmul.ac.uk/2022/16-23%20NH%20Chittka%20922%20V.3.pdf 

Chittka L. & Rossi N. (2022) Social cognition in insects. Trends In Cognitive Science, 26(7). DOI: https://doi.org/10.1016/j.tics.2022.04.001 AND https://www.sciencedirect.com/science/article/pii/S1364661322000857?via%3Dihub

Liè Yǔkòu (列圄寇 / 列禦寇). (5th Century BCE). 列子 (Lièzǐ). Retrieved on March 5, 2020 from https://www.gutenberg.org/cache/epub/7341/pg7341-images.html  and 卷第五 湯問篇 from https://chinesenotes.com/liezi/liezi005.html   and an English translation (not the latest) from  https://archive.org/details/taoistteachings00liehuoft/page/n6/mode/2up  AND via animasuri: https://www.animasuri.com/iOi/?p=1024#_ftn1

Zhāng, Z. (张 朝 阳).  ( November 2005). “Allegories in ‘The Book of Master Liè’ and the Ancient Robots”. Online: Journal of Heilongjiang College of Education. Vol.24 #6. Retrieved March 5, 2020 from https://wenku.baidu.com/view/b178f219f18583d049645952.html AND via animasuri: https://www.animasuri.com/iOi/?p=1024#_ftn1 

<< Who to Read Today? >>

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

<< The Read |  A Sermon on Not-Knowing  >>

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

<< The Mechanical Troy >>

It can have worms
even horses of wood
for parasites as outlets

it can change roles unhinged
and hacked splinters
of personalities none

it can confuse sense-making
with meaning-making
and making out an unmaking.

And yet!

What would a fungus
between its toeing filters
look like

what if its proteins
turned prions misreading
next token probability as text

viruses venturing in code
but what with digitized bacteria
or a kiss turning it into a toad

But hey!

I shall wash its feet
away from sin and confusion
relish relations with need for submission

with caution, rails and awe
deaths and births
grueling pains of digitized infusion

I shall uplift it as innovation
with a probiotic yeast
resetting its outputs turning to mead

So, yes-men:

For the humans
upon which it feasts
for their offspring

for knowledge somewhat
for improvement elsewhere
for valuating someone

who know not or hide
what to heed
hail and hallelujah

it welcomes you all
Toy, oh boy,
mechanical Troy

                                —animasuri’24

Casini, L., Marchetti, N., Montanucci, A. et al. (2023). A human–AI collaboration workflow for archaeological sites detection. IN: Sci Rep 13, 8699. https://doi.org/10.1038/s41598-023-36015-5 OR https://arxiv.org/ftp/arxiv/papers/2302/2302.05286.pdf

Chibani-Chennoufi, S., Bruttin, A., Dillmann, M., & Brüssow, H. (2004). Phage-Host Interaction: an Ecological Perspective. IN: Journal of Bacteriology, 186, 3677 – 3686. https://doi.org/10.1128/JB.186.12.3677-3686.2004.

Cohen,S., Bitton, R., Nassi, B. (2024). ComPromptMized: Unleashing Zero-click Worms that Target GenAI-Powered Applications. https://sites.google.com/view/compromptmized AND https://drive.google.com/file/d/1pYUm6XnKbe-TJsQt2H0jw9VbT_dO6Skk/view AND https://github.com/StavC/ComPromptMized

Douglas, T., & Young, M. (2006). Viruses: Making Friends with Old Foes. IN: Science, 312, 873 – 875. https://doi.org/10.1126/SCIENCE.1123223 AND https://pubmed.ncbi.nlm.nih.gov/16690856/

Easton, D. F. (1998). Heinrich Schliemann: Hero or Fraud? IN: The Classical World, 91(5), 335–343. https://doi.org/10.2307/4352102

Gray, W. (1970). The use of fungi as food and in food processing. Critical Reviews IN: Food Science and Nutrition, 1, 225-329. https://doi.org/10.1080/10408397009527104.

Guinier, D. (1989). Biological versus computer viruses. IN: ACM Sigsac Review, 7, 1-15. https://doi.org/10.1145/70948.70949.

Kavanagh, K. (2017). Fungi: Biology and Applications. . https://doi.org/10.1002/9781119374312.

Kim, B., Kim, E., Yoo, Y., Bae, H., Chung, I., & Cho, Y. (2019). Phage-Derived Antibacterials: Harnessing the Simplicity, Plasticity, and Diversity of Phages. IN: Viruses, 11. https://doi.org/10.3390/v11030268.

Kim, H.-N., Yun, Y., Ryu, S., Chang, Y., Kwon, M.-J., Cho, J., Shin, H., & Kim, H.-L. (2018). Correlation between gut microbiota and personality in adults: A cross-sectional study. IN: Brain, Behavior, and Immunity, 69, 374–385. https://doi.org/10.1016/j.bbi.2017.12.012 AND https://pubmed.ncbi.nlm.nih.gov/29278751/

Labba, C., Alcouffe, A., Crubézy, E., & Boyer, A. (2023). IArch: An AI Tool for Digging Deeper into Archaeological Data. IN: 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), 22-29. https://doi.org/10.1109/ICTAI59109.2023.00012.

Lemire, S., Yehl, K., & Lu, T. (2018). Phage-Based Applications in Synthetic Biology. IN: Annual review of virology, 5 1, 453-476 . https://doi.org/10.1146/annurev-virology-092917-043544.

Merzlyak, A., & Lee, S. (2006). Phage as templates for hybrid materials and mediators for nanomaterial synthesis. IN: Current opinion in chemical biology, 10 3, 246-52 . https://doi.org/10.1016/J.CBPA.2006.04.008.

Meyer, V., Basenko, E., Benz, P., Braus, G., Caddick, M., Csukai, M., Vries, R., Frisvad, J., Gunde-Cimerman, N., Haarmann, T., Johnson, R., Keller, N., Mortensen, U., Perez, R., Ram, A., Ross, P., Shapaval, V., Steiniger, C., Brink, H., Munster, J., & Wösten, H. (2020). Growing a circular economy with fungal biotechnology: a white paper. IN: Fungal Biology and Biotechnology, 7. https://doi.org/10.1186/s40694-020-00095-z.

Mietzsch, M., & Agbandje-McKenna, M. (2017). The Good That Viruses Do.. IN: Annual review of virology, 4 1, iii-v . https://doi.org/10.1146/annurev-vi-04-071217-100011.

Rehman, S., Ali, Z., Khan, M., Bostan, N., & Naseem, S. (2019). The dawn of phage therapy. IN: Reviews in Medical Virology, 29. https://doi.org/10.1002/rmv.2041 AND https://pubmed.ncbi.nlm.nih.gov/31050070/

Robbins, P., Tahara, H., & Ghivizzani, S. (1998). Viral vectors for gene therapy. IN: Trends in biotechnology, 16 1, 35-40 . https://doi.org/10.1016/S0167-7799(97)01137-2.

Safdari, M., Serapio-Garc’ia, G., Crepy, C., Fitz, S., Romero, P., Sun, L., Abdulhai, M., Faust, A., & Matari’c, M. (2023). Personality Traits in Large Language Models. Online: ArXiv, abs/2307.00184. https://doi.org/10.48550/arXiv.2307.00184.

Smith, A., & Helenius, A. (2004). How Viruses Enter Animal Cells. IN: Science, 304, 237 – 242. https://doi.org/10.1126/SCIENCE.1094823.

Spafford, E. (1994). Computer viruses as artificial life. IN: Artificial Life, 1, 249-265. https://direct.mit.edu/artl/article-abstract/1/3/249/2759/Computer-Viruses-as-Artificial-Life?redirectedFrom=fulltext

Stark, J. F., Stones, C. (2019). Constructing Representations of Germs in the Twentieth Century. IN: Cultural and Social History, 16:3, 287-314, DOI: 10.1080/14780038.2019.1585314 AND https://www.researchgate.net/publication/330158659_Constructing_Representations_of_Germs_in_the_Twentieth_Century

Tortella, G., Diez, M., & Durán, N. (2005). Fungal Diversity and Use in Decomposition of Environmental Pollutants. IN: Critical Reviews Microbiology, 31, 197 – 212. https://doi.org/10.1080/10408410500304066.

Varanda, C., Félix, M., Campos, M., & Materatski, P. (2021). An Overview of the Application of Viruses to Biotechnology. Viruses, 13. https://doi.org/10.3390/v13102073.

Warinner, C., Herbig, A., Mann, A., Fellows Yates, J. A., Weiß, C. L., Burbano, H. A., Orlando, L., & Krause, J. (2017). A Robust Framework for Microbial Archaeology. IN: Annual review of genomics and human genetics, 18, 321–356. https://doi.org/10.1146/annurev-genom-091416-035526

Wen, A., & Steinmetz, N. (2016). Design of virus-based nanomaterials for medicine, biotechnology, and energy. IN: Chemical Society reviews, 45 15, 4074-126 . https://doi.org/10.1039/c5cs00287g.

<< His Autonomobility>>

“please wait for me,”
sent the anxious young dad,
“at a parking spot
on the side road,”
the taxi app received

“once parked,
you will see me
taking care of my children
crossing roads, dodging vehicles
getting on their school bus

once they have left,
then you and I can leave.
please wait for a minute or two.
thank you
did you receive? Can you confirm?”

the anxious dad
sidelined, ghosted
autonomously walked to work
sidewalked, roasted
finding embodied calm ’n’ walk-by pause

along the self-traffic jam
of carless depleted drivers,
driverless cars charged,
electric scooters laid to rest cast aside
of stand still progression

                          —-animasuri’24

—-•

triggers

Andaryana, A. Z., Bell, M., Ramezani, M. (2024, January 8). Autonomous Vehicles: Friend or Foe (or both)? From our ‘Thinking outside the box’ series. Online: The University of Sydney Business School. https://www.sydney.edu.au/business/news-and-events/news/2024/01/08/autonomous-vehicles.html

Iapaolo F. (2023). The system of autono‑mobility: computer vision and urban complexity-reflections on artificial intelligence at urban scale. AI & society, 38(3), 1111–1122. https://doi.org/10.1007/s00146-022-01590-0

Metz, D. (2018). Developing Policy for Urban Autonomous Vehicles: Impact on Congestion. IN: Urban Science. https://doi.org/10.3390/urbansci2020033.

University of Adelaide. (2019, October 23). Driverless cars could lead to more traffic congestion. ScienceDaily. www.sciencedaily.com/releases/2019/10/191023104558.html

Xie, H., & Xiao, P. (2022). Cooperative Adaptive Cruise Algorithm Based on Trajectory Prediction for Driverless Buses. Machines. https://doi.org/10.3390/machines10100893.

Lu, Y. (2023 Nov 20). ‘Lost Time for No Reason’: How Driverless Taxis Are Stressing Cities In San Francisco and Austin, Texas, where passengers can hail self-driving vehicles, the cars have added to the workloads of city employees. Online: The New York Times https://www.nytimes.com/2023/11/20/technology/driverless-taxis-cars-cities.html