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Current LLMs can autonomously penetrate systems with success rates up to 69.3%, revealing alarming implications for cybersecurity.
GEAR-VLA achieves a remarkable 90.1% success rate in universal grasping tasks, showcasing its ability to generalize across unseen objects and diverse robot embodiments.
Prevent LLM agents from leaking data or causing financial loss with AgentGuard, a new access control framework that requires only ~10 lines of code to integrate.
