Part 3/12:
Recent advancements at MIT, in collaboration with leading tech giants like Meta, could turn this challenge on its head. Researchers have developed an innovative method that borrows principles from large language models, such as GPT, to create a universal robot "brain." This approach involves training a single model on a vast and varied dataset comprising simulation data, real-world robot demonstrations, and human activity videos. The goal is to forge a shared understanding across different sources of data, allowing robots to generalize learned behaviors and adapt to new tasks quickly.