Jeffrey Ding, an academic researcher, and Karen Hao, a journalist, discuss the nuances of China's AI development, including advantages, limitations, and risks. They tackle topics such as China's surveillance and data collection edge, the relationship between Chinese companies and the government, concerns in AI development, challenges of coordination, and the complex AI competition between China and the US. They emphasize the importance of understanding China's progress and the potential for collaboration.

Jeffrey Ding, a leading scholar on China’s AI and professor at George Washington University, dives into the intricate relationship between technology and global power. He explains why long-term productivity relies on technology diffusion rather than just innovation. Historical examples highlight the cultural roadblocks faced by powers like the UK and Soviet Union, while emphasizing how China lags in this aspect. The importance of decentralized systems in the U.S., especially during the Cold War, and the need for strategic policymaking in AI development are also key discussion points.

In this insightful discussion, Jeffrey Ding, an Assistant Professor of Political Science at Georgetown University, explores the intricate relationship between technological diffusion and the rise of great powers. He argues that success hinges not just on initial innovation but on how well states adapt and integrate new technologies. Ding draws parallels from historical industrial revolutions, emphasizing the importance of institutional support and skill formation. He also delves into the current U.S.-China competition in AI, highlighting the significance of talent and technology diffusion for maintaining economic supremacy.

Jeffrey Ding, an Assistant Professor of Political Science at Georgetown University, dives into how technological diffusion shapes economic competition among great powers. He critiques traditional innovation theories, focusing instead on how some nations excel at adopting new technologies. The conversation spans historical industrial revolutions, revealing how Britain, the U.S., and Japan navigated technological advances. Ding also discusses current U.S.-China dynamics in AI, emphasizing the role of skill formation and institutional adaptability in maintaining competitive edges.

Jeffrey Ding, Assistant Professor of Political Science at George Washington University, delves into the historical significance of Chinese computing, from surpassing English typists in speed to adapting Western computers for Chinese language use. The podcast explores key figures, technologies, and collaborations that shaped Chinese computing over six decades, including the role of industrial AI, US-China scientific collaboration, and undersea cables in global technology advancements.