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.
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? algorithmic sabotage research group %28asrg%29
They threw a wooden shoe into the gears. The machine stopped. And no one got hurt. To the port’s AI, this vessel did not
The ASRG has resurrected this metaphor for the 21st century. Today’s looms are not made of iron gears but of neural networks and gradient descent. The new "sabot" is not a wooden shoe but a carefully crafted adversarial image, a delayed sensor reading, or a strategically placed fake data point. The system crashed
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.
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.