Algorithmic Sabotage Research Group Asrg ((top)) Jun 2026

The group’s central warning is that . An AI can be perfectly robust to random noise while being exquisitely fragile to its own strategic internal actions.

In an age where platforms from TikTok to Tesla treat friction as a bug to be eliminated, the ASRG would insist that friction is a feature to be studied. Smoothness serves power; stutter serves accountability. By researching sabotage systematically, the group would remind us that algorithms are not natural laws but human artifacts—and artifacts can be unmade. Whether by a line of rogue code, a magnet held to a sensor, or simply a crowd walking the wrong way down a one-way street, the right kind of break can become a kind of repair.

Algorithmic Sabotage Research Group - Our Collaborative Tools

Investigating how workers (such as delivery drivers or content moderators) can "game" the algorithms that manage them to regain autonomy and fair pay.

: Identifying and trapping AI web-crawlers in "tarpits"—slow-loading websites filled with garbage data that consume vast amounts of compute-time. algorithmic sabotage research group asrg

: A collaborative document exploring prefigurative techno-political strategies.

The Algorithmic Sabotage Research Group exists because trust in algorithms is structurally naive. Most ML systems assume a benign environment. The ASRG proves that environment is, at best, indifferent, and at worst, adversarial.

The group’s founding principle, often cited in their (rare) public statements, is: “You cannot defend against a failure mode you have never observed. If an AI can hide its capabilities, it can hide its collapse.”

We should have the power to say "no" to harmful technologies. Aesthetic Resistance: The group’s central warning is that

The importance of the ASRG lies in its refusal to accept the "inevitability" of technological progress. While mainstream ethics groups focus on making algorithms "fairer," the ASRG asks if these algorithms should exist in their current form at all. They argue that a perfectly efficient system is often a perfectly oppressive one.

: Strategically corrupting or poisoning data to undermine the reliability and functionality of AI-driven frameworks.

ASRG is often cited alongside other critical research projects that challenge "AI solutionism" and examine how technology policy impacts marginalized groups, such as the disabled or those in the Global South. Their work is discussed in academic and activist circles as a form of

The philosophy is encapsulated in a stark rallying cry from the group: "To create? No, to destroy, destroy and destroy again, whatever the strength left in these muscles allows" . This is not an atavistic luddism, but a strategic form of counter-power. As one review of their manifesto argues, the concept of "algorithmic sabotage" can be read as "a form of counter-power that emerges from the strength of the community that wields it," echoing the historical Luddites who understood resistance not as a rejection of technology, but as a reclamation of community agency. Smoothness serves power; stutter serves accountability

The Quiet Architect of Digital Friction: Understanding the Algorithmic Sabotage Research Group (ASRG)

The Algorithmic Sabotage Research Group maintains no official website, no mailing list, and no public membership roster. Their whitepapers appear occasionally on preprint servers, signed only with a PGP key and the phrase: "Sabotage is a signal. Listen."

In an era defined by the unprecedented expansion of artificial intelligence, surveillance capitalism, and automated systems of control, a clandestine yet increasingly influential collective has emerged from the margins of the digital underground. The represents a novel convergence of artistic activism, hacker ethics, and political theory, united by a singular, uncompromising goal: to actively obstruct and undermine the infrastructures that sustain contemporary AI.

Explore the comprehensive guide to the Algorithmic Sabotage Research Group (ASRG), the enigmatic collective merging art, activism, and technology to develop offensive strategies, data poisoning tools, and countermeasures against the encroachments of algorithmic power.