ai, AI Research & Advances, body gap, embodied ai, Research, robotics, UCLA Health

UCLA Researchers Explore AI ‘Body Gap’ and What It Means for Reliability, Safety

Insider Brief A new study from UCLA Health finds that today’s most advanced AI systems lack a fundamental capability present in humans: an internal sense of their own state, a gap researchers say has implications for performance, reliability and safety. The paper, titled Embodiment in Multimodal Large Language Models, was published in Neuron, argues that […]