Jeff Ding

Jeff Ding, a leading US scholar on China and AI, delves into the critical role of diffusion capacity in assessing China's technological rise. He argues that mere innovation isn’t enough; a country must effectively adopt new technologies to maintain economic growth. The discussion covers historical examples, including the Cold War, to illustrate challenges faced by powers with strong innovation but weak diffusion. Jeff also highlights the importance of effective STEM education and the contrasting strengths of U.S. and Chinese tech policies.

In this podcast, Jeff Ding discusses the issue of high idle rates in China's computing centers and the challenges they pose. The conversation also explores the implementation gap for large language models and the unfair scrutiny faced by Asian American officials. Furthermore, the podcast delves into investigative reporting on China, Hong Kong, and Taiwan, along with China's strategy in the AI race.

Jeff Ding, podcast host, discusses the drop in China's chip imports, including geopolitical tensions and localization efforts. They also explore challenges in measuring China's chip self-sufficiency and touch on topics like AI safety and cybersecurity skills of language agents.