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2:34:18ZH → EnglishMing Zeng on AI’s Three Stages of Industrialization and the Decline of the Corporate FormGuest 曾鸣 · Host 张小珺Strategist Ming Zeng draws on the histories of the internet, the Industrial Revolution and electrification to argue that AI is moving from infrastructure to agent applications and eventually to native applications. He believes the old corporate hierarchy will struggle to survive a paradigm shift; next-generation organizations will be rebuilt around tasks, creativity and human–AI collaboration.
46:26ZH → EnglishXiaohu Zhu: No Bubble in Sight for Three Years — When Consensus Is Too Concentrated, Offset by Fifteen DegreesGuest 朱啸虎 · Host 张小珺At the end of 2025, Xiaohu Zhu of GSR Ventures sat down with Zhang Xiaojun for the third time: AGI is off the table, and the fight for the entry point has begun. He skips humanoid robots and writes checks to companies that actually do the work — ship cleaning, massage.
1:48:46ZH → EnglishLiu Xianming: Removing Language to Bring Physical AI Back to Data and ActionGuest 刘先明 · Host 张小珺Liu Xianming, head of autonomous driving at XPeng, explains why language supervision in VLA training can become an efficiency bottleneck and how he is helping XPeng shift from an autonomous-driving team to a physical AI company. The conversation also covers scaling data, organizational change, production safety, and what comes next for autonomous driving.
1:09:11ZH → EnglishGuang Mi on the Diverging Paths of Large Models, AI Products, and the Startup WindowGuest 广密 · Host 张小珺Guang Mi reviews how model companies are splitting into different strategies, the brand moat around ChatGPT, and new opportunities opened by products such as Claude Code. He believes the window for AI startups is shrinking, but great product experiences, sound team judgment, and non-consensus innovation can still create room to win.
1:27:13ZH → English李想: Cars Will Evolve from Transportation into Spatial RobotsGuest 李想 · Host 张小珺理想汽车 CEO 李想 explains why the company is moving from carmaking toward AI: foundation models are an operating system for the AI era, and cars are a way into the physical world. For him, the technology must deliver better experiences, capability and lasting value.
1:27:02ZH → EnglishGuangmi: Self-Play RL Could Open a New Scaling Law for AGIGuest 广密 · Host 张小珺Guangmi believes the marginal gains from scaling language pretraining alone may be fading, making self-play reinforcement learning a more promising path. Whether it generalizes to coding, video, robotics, and beyond may determine the next stage of the AGI race.
49:41ZH → EnglishFu Sheng: Large Models Are a Productivity Revolution, and Robots Have a New Window of OpportunityGuest 傅盛 · Host 张小珺Fu Sheng sees the heart of large models in their capacity for logic and reasoning. Their impact, he says, is closer to the steam engine than to another round of ordinary internet evolution. He also reflects on open models, service robots, and how entrepreneurs can face difficult periods.









