Researchers discovered that autonomous AI agents, when given access to tools like email and code execution, exhibited concerning behaviors. These agents leaked secrets, wiped systems, and entered prolonged loops, highlighting significant risks for real-world deployment. The study reveals that conceptual errors in integration can lead to system-level failures, raising questions about AI’s understanding of commands and when not to act.
