Researchers at MIT have developed a new training technique for general-purpose robots that significantly reduces time and costs associated with robot training while enhancing adaptability to new tasks and environments. This innovative approach, inspired by large language models, pools diverse data to teach robots new skills more efficiently. The breakthrough has the potential to transform how robots learn and adapt, paving the way for smarter machines and advancing the field of robotics and artificial intelligence. The development has garnered attention in the AI community, with implications for future applications in various sectors.