Jeffrey Ding

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, 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.

Jeffrey Ding discusses the release of the SuperCLUE-Safety benchmark for Chinese large models, addressing the urgency of safe large models and China's AI landscape. The podcast explores safety rankings, AI safety benchmarks in China, industry exploitation, and reactions to Falcon 180B launch.

Jeffrey Ding, expert in Chinese AI developments, discusses the competition among companies to deploy large AI models, transitioning from trials to public service. Topics include challenges of utilizing large models, Baidu AI Cloud's innovative solutions, and the strategic positioning of companies in the era of large models.