In the debate over slowing down AI, we often hear the same argument against regulation.   “What about China? We can’t let China get ahead.” To dig into the nuances of this argument, Tristan and Aza speak with academic researcher Jeffrey Ding and journalist Karen Hao, who take us through what’s really happening in Chinese AI development. They address China’s advantages and limitations, what risks are overblown, and what, in this multi-national competition, is at stake as we imagine the best possible future for everyone.RECOMMENDED MEDIA Recent Trends in China’s Large Language Model Landscape by Jeffrey Ding and Jenny W. XiaoThis study covers a sample of 26 large-scale pre-trained AI models developed in ChinaThe diffusion deficit in scientific and technological power: re-assessing China’s rise by Jeffrey DingThis paper argues for placing a greater weight on a state’s capacity to diffuse, or widely adopt, innovationsThe U.S. Is Turning Away From Its Biggest Scientific Partner at a Precarious Time by Karen Hao and Sha HuaU.S. moves to cut research ties with China over security concerns threaten American progress in critical areasWhy China Has Not Caught Up Yet: Military-Technological Superiority and the Limits of Imitation, Reverse Engineering, and Cyber Espionage by Andrea Gilli and Mauro GilliMilitary technology has grown so complex that it’s hard to imitateRECOMMENDED YUA EPISODES The Three Rules of Humane TechA Fresh Take on Tech in China with Rui Ma and Duncan ClarkDigital Democracy is Within Reach with Audrey TangYour Undivided Attention is produced by the Center for Humane Technology. Follow us on Twitter: @HumaneTech_