➀ Li Mu discusses the evolution of language models, emphasizing the importance of compute power, data, and algorithms. ➁ He highlights the challenges in scaling models due to memory limitations and the increasing cost of compute power. ➂ Li Mu shares his insights on the transition from large-scale pre-training to post-training as a technical problem, emphasizing the role of high-quality data and improved algorithms.