Sergey discusses the evolving intersection of reinforcement learning and language models, highlighting a shift in the robotics community towards leveraging large, multimodal datasets. He notes the potential for transformative effects on robotics through foundational models but emphasizes the challenge of sourcing the necessary data, presenting two distinct philosophies on data acquisition—one favoring abundant internet data supplemented by robot-specific data.
