Algorithmic Sabotage Research Group %28asrg%29 !exclusive!

The ASRG categorizes its work into three primary streams:

Historically, sabotage was a tactic used by industrial workers to disrupt the machinery of exploitation. The ASRG translates this concept into the 21st century, arguing that today’s machinery is composed of data points, predictive models, and opaque decision-making software. By studying how these systems fail, and how they can be made to fail, the group seeks to provide a toolkit for those marginalized by the "black box" of modern technology.

The ASRG focuses on "artistic-activist resistances" and "prefigurative techno-political strategies" to disrupt harmful AI and algorithmic systems. Their documented tactics often involve: algorithmic sabotage research group %28asrg%29

It attempts to reclaim spaces for human agency and ethical action from the "generalized thoughtlessness and automaticity" of black-box algorithms.

: They explicitly reject the use of algorithmic systems for power and profit, focusing instead on mutual aid and anti-authoritarian strategies. Tactics and Methodologies The ASRG categorizes its work into three primary

Beyond these tools, the ASRG has also pioneered the development of for static website deployments. The group has published a methodically structured poisoning mechanism for GitHub Pages called “Trapping AI.” This technique feeds nonsensical data to aggressive AI scrapers that circumvent robots.txt directives. In just under a month of deployment, over 26 million requests hit their tarpit URLs, with vast volumes of meaningless content devoured by AI crawlers.

ASRG categorizes its offensive actions through a continuously updated list of strategies titled . These methodologies are designed to disrupt the workflows of machine learning models, corrupt training pools, and challenge the perceived infallibility of automated systems. 1. Data Poisoning and Corruption Tactics and Methodologies Beyond these tools, the ASRG

A key practical concern for the group is the vulnerability of independent, self-hosted web platforms. Large corporations train generative models by indiscriminately scraping online data without user consent. Independent developers have adapted ASRG methodologies to implement server-side defenses. This includes serving fake texts or scripts to known AI web crawlers or forcing scrapers into "tarpits"—isolated server environments where they run infinite compute tasks on garbage data, dramatically increasing the financial and environmental cost of data extraction. 4. The Broader Landscape of Algorithmic Resistance

The Algorithmic Sabotage Research Group (ASRG) is an anonymous, practice-led collective focused on "techno-disobedience" against the "algorithmic empire," defined by its 10-point manifesto. The group promotes "wildcat direct action" and "aesthetico-political" methods, including AI data poisoning and text-based traps to disrupt automated systems. Read the Manifesto on Algorithmic Sabotage at reincantamentox.substack.com . Drop #17. Manifesto On Algorithmic Sabotage