Yann discusses the efficiency of self-supervised learning as a foundational step for various learning methods, including reinforcement and imitation learning. He highlights the significant time disparity between human and machine training, noting that advanced AI systems require extensive practice to surpass human performance, exemplified by the 200 years of training needed for a system to excel in StarCraft.
