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Breakthrough in Robotics: MIT's Universal Robot Brain Uses Large Language Model Concepts
Imagine a future where robots can seamlessly handle every household task — from picking up groceries and cooking dinner to caring for pets — all without needing to be retrained for each new job. It’s the vision that has long captivated scientists and technologists alike. However, developing such highly adaptable robots has proven challenging, primarily because training them requires enormous amounts of task-specific data, making the process slow, expensive, and inflexible.