Not the more it reads
not only a book
or a post or a newsflash

not only another virtual world
or yet another kind (of)
stranger, passing by,

and their view
on today’s weather, the mundane
or the political landscape

nor who they who wonder
who on earth, as wise owls,
who its readership could be, who

rather the profounder
i read with others,
the confounder the read,

and am being read by others,
The Confounders, as mediators,
in a metaphysical meet

knowingly, partly,
differently, surely, desirably,
fully unnecessary, and not,

and, the more we could become:

outwardly silent
inwardly tumultuously,
unlocked yet not unhinged

rigorous and organized
focused and diversified
confidently doubtful, yet caring

not necessarily knowledgable
yet more aware of what
we are not aware of

what we each
were, are, might not
be refined(,) yet toward

what richness in relating with others
we still have to learn from
note-taking preceding turning to dust

The Read, that finite aspiration
That Rosetta Stone projected
That Babel bubbling brook

the whisper of
a common
endearing shared life:

a distributed ping of a finger tip
and information packages
in a hug from their eyes:

it is it that scrapes you
at the sedentary bottom
of your riverbed

yet it’s i
who reads you:
do you read?

               —animasuri’24

—-•
triggers

Bryda G, Costa AP. (2023). Qualitative Research in Digital Era: Innovations, Methodologies and Collaborations. IN: Social Sciences. 2023; 12(10):570. https://doi.org/10.3390/socsci12100570

Fazlioglu, M. (2023, Nov 8). Training AI on personal data scraped from the web. Online: iapp publications. The International Association of Privacy Professionals. https://iapp.org/news/a/training-ai-on-personal-data-scraped-from-the-web/

Information Commissioner’s Office, UK. (ico). (2024). Generative AI first call for evidence: The lawful basis for web scraping to train generative AI models. https://ico.org.uk/about-the-ico/what-we-do/our-work-on-artificial-intelligence/generative-ai-first-call-for-evidence/

Tiedrich, D. (2024, March 5). The AI data scraping challenge:  How can we proceed responsibly? Online: OECD.ai https://oecd.ai/en/wonk/data-scraping-responsibly

Veltman, C. (2023, July 17). Thousands of authors urge AI companies to stop using work without permission. Online: npr. https://www.npr.org/2023/07/17/1187523435/thousands-of-authors-urge-ai-companies-to-stop-using-work-without-permission