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

The group researches and collects strategic methodologies intended to disrupt, poison, or corrupt data within the operational workflows of artificial intelligence (AI) and Big Data systems. These tactics are designed to destabilize critical mechanisms of algorithmic governance.

: Deploying server-based traps that catch AI crawlers in infinite visit patterns or slow-loading loops, exhausting their compute time with garbage data.

The ASRG gained visibility primarily through its , a foundational document consisting of ten statements (numbered 0 to 9) that outline the group's principles. The manifesto frames algorithmic sabotage not merely as a technical act, but as an "action-oriented commitment to solidarity" that precedes legal or social classification. Key tenets of the group's philosophy include: algorithmic sabotage research group %28asrg%29

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

: The group advocates for becoming "unreadable" to systems of power to evade exploitation and corporate surveillance. The ASRG gained visibility primarily through its ,

: They explicitly reject the use of algorithmic systems for power and profit, focusing instead on mutual aid and anti-authoritarian strategies. Tactics and Methodologies

Algorithmic Sabotage Research Group - Our Collaborative Tools : The group advocates for becoming "unreadable" to

: Using zines and collaborative writing projects, such as the Alternative Layout System zine, to theoretically delineate sabotage as an active and open process. Research Context and Collaborative Projects ourcollaborative.toolshttps://ourcollaborative.tools

: ASRG positions sabotage as a necessary figure of militancy that is often missing from traditional academic technology critiques.