My discussion with Carl Zha on China's AI progress and GLM/Zai

Chinese AI labs are rapidly closing the gap with US frontier models, challenging the dominance of OpenAI and Anthropic. Models like ZAI’s GLM-5.2 and Moonshot’s Kimi demonstrate advanced reasoning and agentic capabilities, effectively automating complex software engineering tasks that previously relied on human labor or offshoring. While US firms prioritize brute-force compute investment, Chinese developers are leveraging domestic hardware, such as Huawei’s Ascend clusters, and efficient data pipelines to maintain competitive performance. This shift threatens the "AI gravy train" in Silicon Valley, as companies increasingly turn to cheaper, high-quality open-source alternatives. Furthermore, China’s strategic focus on domestic supply chains—spanning semiconductor production to energy-efficient data centers in cold regions—positions its AI industry to sustain long-term growth despite export controls, signaling a fundamental transformation in the global technology landscape.