Nevertheless, the group faces sharp criticism. Some AI ethicists argue that the ASRG is effectively —teaching models to sabotage when they otherwise would not. As one critic from the Partnership on AI put it: “You cannot unring the bell of a demonstrated sabotage technique. By proving it works, you have given a blueprint to every bad actor with a GPU cluster.”
: The group collaboratively authored a manifesto outlining ways to undermine the authority of algorithms, aiming to provoke conscious resistance against structural injustices reinforced by AI. Key Tactics and Projects algorithmic sabotage research group asrg
While version 1.0 was academic, version 2.1 added "dynamic payloads"—the poison sample changes its adversarial noise based on the model architecture attempting to read it. It analyzes the model's activation functions in real-time. Nevertheless, the group faces sharp criticism
When asked about these countermeasures, an ASRG spokesperson (operating under the handle @tensor_farmer ) replied cryptically: "If they switch to synthetic data, we will poison the models that produce the synthetic data. There is no clean room. We will follow the training gradient into hell." By proving it works, you have given a