
What I Told Congress About the US-China AI Race
An AI expert testified before the U.S. House Select Committee on China, arguing that winning the AI race requires more than superior models. He noted that while U.S. firms lead in model performance, China emphasizes rapid adoption, especially in physical AI, and is building a full‑stack capability from chips to applications. Export controls have slowed Chinese compute but accelerated its domestic semiconductor push, and China’s energy capacity now outpaces the U.S. The witness urged Congress to focus AI policy on job security, affordable energy, and broad economic benefits.

Podcast: Z.ai, Inside One of China's Top AI Companies
Z.ai, a leading Chinese AI lab behind the GLM foundation models, announced its upcoming flagship model GLM‑5.1. The new model matches the performance of OpenAI’s Opus 4.6 on coding and agentic tasks while delivering roughly double the results on long‑horizon workloads....
