Algorithmic Sabotage Research Group %28asrg%29 Site

In a controlled study, the ASRG demonstrated how a social media recommendation engine could be sabotaged to gradually "cool" engagement for a specific political demographic—not by censoring them, but by subtly delaying the delivery of notifications and replies. Users didn’t leave the platform; they simply became 40% less active over three months. This slow-motion sabotage was invisible to standard A/B tests.

At the heart of ASRG’s framework is its foundational document, the . Published globally under the GNU Free Documentation License, the manifesto outlines an oppositional stance against what it labels "necropolitical technologies". These are automated tools designed to extract data without consent, exploit digital labor, and entrench state and corporate surveillance.

rather than traditional academic journals. Their research often blends art, activism, and technical critique to propose "wildcat direct action" against hegemonic technologies. , or are you interested in the practical methods of digital sabotage they describe? Drop #17. Manifesto On Algorithmic Sabotage

: A related initiative that critiques dataset training rights, ecological harms, and the political risks of modern AI. AI responses may include mistakes. Learn more The Algorithmic Resistance Research Group (ARRG!) algorithmic sabotage research group %28asrg%29

The choice of the word "sabotage" is deliberate and pedagogical. The term originates from the French sabot , a wooden clog. Legend holds that disgruntled weavers in the Industrial Revolution would throw their wooden shoes into the gears of mechanical looms, jamming the machines that were replacing their livelihoods.

: Deliberately corrupting data within AI workflows to undermine the reliability of the models.

: Deploying server-based traps that catch AI crawlers in infinite visit patterns or slow-loading loops, exhausting their compute time with garbage data. In a controlled study, the ASRG demonstrated how

To learn more or get involved, the ASRG invites you to explore their virtual spaces:

: Providing false or meaningless information to "poison" the training models used by AI crawlers and scrapers.

Algorithmic Sabotage Research Group (ASRG) is a collective focused on "techno-political strategies" designed to resist what they describe as the "algorithmic empire" At the heart of ASRG’s framework is its

: Tools like iocaine and KonterfAI are designed to generate "garbage" or nonsense content to degrade Large Language Models (LLMs) and crawlers.

As of late 2026, the ASRG has reportedly turned its attention to large language models and generative AI. Their unpublished research (leaked via encrypted USB drives left in academic libraries) suggests that LLMs are peculiarly vulnerable to what they call —feeding an AI its own prior outputs in a closed loop until it produces nonsense or, more dangerously, produces perfectly persuasive lies.

Elara’s partner, a taciturn former network architect named Kael, slid a tablet across the table. "The vaccine distribution subroutine just went live in the Midwest quadrant. We have a window."

The ASRG's manifesto extends this tradition, shifting from the physical destruction of machinery to the . Where the original Luddites smashed mechanical looms, the ASRG aims to poison the algorithmic models of the digital era. This reclamation of Luddism as a positive political identity—not a mark of ignorance but a position of informed refusal—is central to ASRG's intellectual project.