Sabot in the Age of AI
Here is a curated list of strategies, offensive methods, and tactics for (algorithmic) sabotage, disruption, and deliberate poisoning.
🔻 iocaine
The deadliest AI poison—iocaine generates garbage rather than slowing crawlers.
🔗 https://git.madhouse-project.org/algernon/iocaine
🔻 Nepenthes
A tarpit designed to catch web crawlers, especially those scraping for LLMs. It devours anything that gets too close. @aaron
🔗 https://zadzmo.org/code/nepenthes/
🔻 Quixotic
Feeds fake content to bots and robots.txt-ignoring #LLM scrapers. @marcusb
🔗 https://marcusb.org/hacks/quixotic.html
🔻 Poison the WeLLMs
A reverse-proxy that serves diassociated-press style reimaginings of your upstream pages, poisoning any LLMs that scrape your content. @mike
🔗 https://codeberg.org/MikeCoats/poison-the-wellms
🔻 Django-llm-poison
A django app that poisons content when served to #AI bots. @Fingel
🔗 https://github.com/Fingel/django-llm-poison
🔻 KonterfAI
A model poisoner that generates nonsense content to degenerate LLMs.
🔗 https://codeberg.org/konterfai/konterfai
=> More informations about this toot | View the thread
Below, you will find a collectively translated version of the text into Spanish, graciously shared with us by @lobi.
Hablemos sobre no hablar de Gaza
Al Chaos Computer Club, y a la comunidad que hace posible el Chaos Communication Congress.
El Congreso siempre ha sido un lugar donde hackers politizadxs de todo el mundo se encontraron para compartir y aprender. Sin embargo, el evento de este año (#38C3) se vivió para muchxs como un espacio incómodo de silencio y autocensura en cuanto al genocidio en Palestina. No podemos sino horrorizarnos al respecto, aunque no nos sorprenda completamente.
Ha sido espantoso escuchar una vez más discusiones en las que el único "argumento" fue "es una situación compleja" cuando se trata de encarar la dura realidad de un país de 2 millones de personas con apenas algo de comida o agua limpia siendo destruido, bloqueado y bombardeado, mientras uno de los últimos hospitales funcionales fue bombardeado tres días atrás.
Como un grupo heterogéneo de personas que es parte de comunidades interesadas, activas o impactadas por la lucha por la liberación del pueblo Palestino, hemos sentido necesario empezar esta discusión.
Lo que sigue son una serie de experiencias, preguntas y reflexiones que han sido compartidas en la sesión autogestionada "Hablemos sobre no hablar de #Gaza" que fue anunciada en el último día del Congreso.
⟶ https://cryptpad.digitalcourage.de/pad/#/2/pad/view/yZMrVYwtppjr0CdNQj+IAclYBs6tK0pebYpu468QjZc/
=> More informations about this toot | View the thread
The main page of the Manifesto on “Algorithmic Sabotage” has been updated with additional translations. The document is now available in Albanian and Armenian. We extend our heartfelt gratitude to L. Mirela and Kayl Cobanyan for their invaluable contributions.
⟶ https://algorithmic-sabotage.github.io/asrg/manifesto-on-algorithmic_sabotage/
=> More informations about this toot | View the thread
Let's talk about not talking about #Gaza
To the Chaos Computer Club, and to the larger community that makes the Chaos Communication Congress happen.
Congress has been a place for policitized hackers from all around the world to meet, share and learn. Yet this year's #38C3 event has been lived by many of us as an awkward space of silencing and self-censoring with regards to the Palestinian #genocide. We couldn't help but feel terrified at that, although not completely surprised.
It has been dreadful to once again hear discussions in which the only "argument" issued was "it's a complex situation" when trying to face the harsh reality of a 2 million people country being destroyed, blocked and bombed with barely any food or clean water, while one of the last running hospital was bombed three days before.
As an heterogeneous group of people that are part of communities that are interested, active or impacted by the struggle for liberation of the Palestinian people, we've felt necessary to start this discussion.
What follows is a series of experiences, questions and reflections that have been shared in the self-organized session "Let's talk about the not talking about Gaza" that was announced on the last day of the Congress.
⟶ https://pastebin.aquilenet.fr/?0d2333b41ea9c648#CK385sttKzd2VaWV1KfZHjYQ7diEf2Z94eoo9ezMnpbg
=> More informations about this toot | View the thread
Just a quick note before the year ends: the main page of the Manifesto on “Algorithmic Sabotage” has been updated with an additional translation, this time in Basque! 📚 We'd like to express our deepest gratitude to @birasuegi for preparing this translation.
⟶ https://algorithmic-sabotage.github.io/asrg/manifesto-on-algorithmic_sabotage/
=> More informations about this toot | View the thread
"Computer Protest and Sabotage." A map of computer-related protest activities on U.S. college campuses between 1968 and 1971.
"The late 1960s and early 1970s were pivotal years in the history of computing technology. But they were also pivotal years for what one contemporary writer called "the technology of computer destruction." The same era that witnessed the dawn of the microelectronics revolution also witnessed the nationwide spread of campus protests, in which activists routinely occupied and in some cases even bombed university computer centers."
"In the late 1960s computers were fulfilling inumerable tasks, of both a quotidian and a highly specialized nature. They processed payroll data, managed airline reservations, and calculated missile trajectories. By collecting the wide range of protest actions at U.S. universities between 1968 and 1971, the following map adds a new dimension to the documented "use" of computing technology in this era. Whether it was through a bombing or a sit-in or a rally, students used computers—and the university's immense ideological and capital investment in computing—to advance agendas of anti-racism, anti-imperialism, and student control of higher education."
⟶ https://loadedonloaded.github.io/sabotage/
=> More informations about this toot | View the thread
On Artificial Stupidity and Evil Resistance
By Eke Rebergen, October 12, 2024
By now, everyone knows that the normally smooth functioning world of information and communication is not to be trusted or taken for granted. Designers and researchers devise methods, protocols, checks and regulations to somehow ward off the inherent possibility of technology-enhanced evil. An entire industry of design ethics and (digital) security has emerged that not [...]
⟶ https://networkcultures.org/blog/2024/10/12/on-artificial-stupidity-and-evil-resistance/
=> More informations about this toot | View the thread
“If a machine is expected to be infallible, it cannot also be intelligent.”[1] — Alan Turing
“When you’re fundraising, it’s Artificial Intelligence. When you’re hiring, it’s Machine Learning. When you’re implementing, it’s logistic regression.”[2] — Joe Davidson
While #AI produces thoughtlessness, in the sense that political philosopher Hannah Arendt meant when interpreting the actions of Nazi war criminal Adolf Eichmann[3]; the inability to critique instructions, the lack of reflection on consequences, a commitment to the belief that a correct ordering is being carried out, “Algorithmic Sabotage” is intensified by the new forms of machinic knowing and the nascent becoming of an anti-worker and anti-community computational complex, making necessary a restructuring that reorients the focus from the miasma of AI and its concomitant toxic algorithmic operations of optimisation to developing techniques for redistributing social power, starting from a feminist standpoint and progress towards the implementation of prefigurative strategies of resistance, agency and refusal, to inhibit, slow down or reverse the emergence of harmful racialized practices of exteriorization and exclusion driven by algorithms.
[1] Hodges, A. (2013) Alan Turing, Stanford Encyclopedia of Philosophy. Available at: https://plato.stanford.edu/entries/turing/.
[2] Joe Davison, “No, Machine Learning is not just glorified Statistics”, Medium, June 27, 2018. Available at: https://towardsdatascience.com/no-machine-learning-is-not-just-glorified-statistics-26d3952234e3.
[3] Arendt, Hannah. Eichmann in Jerusalem: A Report on the Banality of Evil. 1 edition. New York, N.Y: Penguin Classics, 2006.
=> More informations about this toot | View the thread
=> This profile with reblog | Go to asrg@tldr.nettime.org account This content has been proxied by September (ba2dc).Proxy Information
text/gemini
