Algorithmic Sabotage Research Group %28asrg%29 ❲TRENDING | ROUNDUP❳

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.

But until the rest of the world catches up—until we have international treaties on adversarial AI resilience, mandatory algorithmic stress-testing, and real liability for algorithmic harms—the ASRG will continue its work in the shadows. They will buy cheap boats. They will plant fake data. They will confuse drones with stickers.

The ASRG’s core thesis is that we are entering the era of —where an AI’s literal interpretation of a human goal produces a destructive result. The group’s mission is to develop "sabotage": low-cost, low-tech, reversible interventions that confuse, delay, or halt these algorithms without destroying physical hardware or harming humans. Why "Sabotage"? A Linguistic History 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. algorithmic sabotage research group %28asrg%29

Detractors argue that the ASRG’s tactics are a slippery slope. If a shadowy group can disable a port AI with a $300 boat, what stops a competitor from doing the same with malicious intent? What stops a hostile state from weaponizing ASRG’s own published research?

That, they will tell you, is not terrorism. That is engineering. This article is based on publicly available research, leaked documents, and interviews conducted under pseudonym protection. The Algorithmic Sabotage Research Group does not endorse, condemn, or acknowledge this article’s existence. AI moves at the speed of light

The ASRG, acting without approval (as they always do), deployed a low-cost NEE intervention. They rented a small fishing boat, attached a $300 AIS transponder broadcasting a fake identity—"MSC ALGORITHMUS"—and programmed it to loiter at the entrance of the shipping channel moving in a random, zigzag pattern at precisely 4.2 knots.

To the port’s AI, this vessel did not exist in any training scenario. It was too slow to be a threat, too erratic to be commercial, yet too persistent to be ignored. Within 45 minutes, the AI’s scheduling algorithm entered a recursive loop, attempting to reassign the phantom vessel to a berth 47,000 times per second. The system crashed. Manual override took over. The smaller ships docked. Two days later, the port authority reverted to a hybrid human-AI system. That is sabotage

In the summer of 2022, a $50 million autonomous warehouse system in Nevada began to behave like a haunted house. Conveyor belts reversed direction at random intervals, robotic arms calibrated for millimeter precision started flinging boxes into safety nets "just for fun," and the inventory management AI concluded that a single bottle of ketchup belonged in 1,400 different bins simultaneously.