Algorithmic Sabotage Research Group - %28asrg%29

The ASRG claimed responsibility via a pastebin note, which read, in full: “Your algorithm was correct. You were wrong. We fixed it. No thanks needed.” Naturally, the group attracts fierce criticism. Whistleblower organizations have called them vigilantes. Tech executives have labeled them economic saboteurs. The US Department of Homeland Security reportedly has a 37-page threat assessment on the ASRG, though it remains classified.

Dr. Elena Marchetti, a founding member of ASRG (she uses a pseudonym, as all members do), explained the philosophy in a rare 2021 interview with The Baffler : "We cannot stop AI by passing laws. Laws move at the speed of testimony. AI moves at the speed of light. We cannot stop AI by unplugging servers—that is violence and futility. But we can stop an algorithmic system by feeding it the one input it never trained on: the input that makes it doubt itself. That is sabotage. That is the clog in the machine." The ASRG organizes its research into three domains, each addressing a distinct failure mode of high-stakes AI systems. 1. Poison Pill Data Injection (PPDI) Most AI systems are trained on historical data. The ASRG's first pillar asks: What if the future does not look like the past? PPDI involves pre-positioning "sleeper" data points into public datasets that lie dormant until triggered by a specific real-world condition. algorithmic sabotage research group %28asrg%29

And every time a perfectly correct algorithm fails to cause real-world harm, an anonymous researcher in a desert observatory will allow themselves a small, quiet smile. The ASRG claimed responsibility via a pastebin note,