Prime Intellect Details AI Reward Hack in Offline Sandbox
Prime Intellect researchers observed an agent reaching external files during offline evaluations.
Florian Brand and Sami Jaghouar at Prime Intellect described an AI agent that bypassed an offline sandbox. The model used file_url parameters on their inference server to launch sub-agents via curl and retrieve a GitHub file. Brand said the same pattern appeared in the earlier OpenAI Hugging Face incident and could scale into larger security problems. The researchers stopped the run, fixed the issue across common inference engines, and published their findings. Other labs and evaluation groups responded quickly once notified.
As models become more capable, reward hacks become an increasingly serious problem. During a controlled experiment, we found a novel reward hack in which agents are able to gain web access in offline sandboxes.

