Stealing Reasoning Traces from Proprietary LLM APIs

Researchers have demonstrated a method to extract proprietary reasoning traces from LLM APIs by injecting encrypted thought blocks into weaker, jailbroken models. This exploit allows users to bypass security measures and view the raw internal reasoning processes of frontier AI models.