Part 9/11:
The innovations brought forth enable the training of AI agents on a more extensive range of tasks, emphasizing a curricular approach that focuses on honing skills in environments that mimic unpredictable real-life scenarios. The introduction of frameworks like Kinetics epitomizes this approach, allowing researchers to construct a universe of tasks from scratch. The overarching goal is to refine AI systems capable of learning a broad spectrum of behaviors while integrating the trial-and-error elements seen in human learning.