Algorithmic Sabotage Research Group (ASRG) is a "conspiratorial, aesthetico-political" initiative that explores the friction between digital culture and information technology. Rather than focusing on standard cybersecurity, the group frames its work as a form of militant resistance against what it calls the "algorithmic empire"—the structural injustices and authoritarian control embedded in modern tech. Core Philosophy and Manifesto The ASRG centers its identity around a Manifesto on Algorithmic Sabotage
The reception of the ASRG within the broader tech community has been a mix of curiosity, skepticism, and cautious optimism. Prominent technologists like Jamie Zawinski (jwz) have discussed the group’s work, noting the inherent difficulty in measuring the effectiveness of data poisoning: "It's very difficult to know whether that is effective because the only people who can answer that question are The Adversary".
"If the model can memorize my brush strokes," one ASRG operative wrote in a manifesto posted to a now-deleted Github repository, "then the model can be forced to memorize a bomb."
: Running local pipeline modifications, such as Python scripts wrapped around automated image processing tools, to alter visual assets before they can be crawled by tech monopolies.
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.
Algorithmic Sabotage Research Group (ASRG) is a "conspiratorial, aesthetico-political" initiative that explores the friction between digital culture and information technology. Rather than focusing on standard cybersecurity, the group frames its work as a form of militant resistance against what it calls the "algorithmic empire"—the structural injustices and authoritarian control embedded in modern tech. Core Philosophy and Manifesto The ASRG centers its identity around a Manifesto on Algorithmic Sabotage
The reception of the ASRG within the broader tech community has been a mix of curiosity, skepticism, and cautious optimism. Prominent technologists like Jamie Zawinski (jwz) have discussed the group’s work, noting the inherent difficulty in measuring the effectiveness of data poisoning: "It's very difficult to know whether that is effective because the only people who can answer that question are The Adversary". algorithmic sabotage research group asrg
"If the model can memorize my brush strokes," one ASRG operative wrote in a manifesto posted to a now-deleted Github repository, "then the model can be forced to memorize a bomb." Most ML systems assume a benign environment
: Running local pipeline modifications, such as Python scripts wrapped around automated image processing tools, to alter visual assets before they can be crawled by tech monopolies. and at worst
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.