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1:09:50ZH → English
Zhang Xiaojun Podcast· Aug 19, 2026Podcast · 2 speakersJonathan Su on AI Research, Education and Happiness as a High-School StudentGuest 苏庭灏 · Host 张小珺From learning Transformers and publishing a paper to thinking about motivation, uncertainty and human connection.
3:36:13ZH → EnglishZhang Xiaojun Podcast· Aug 12, 2026Podcast · 2 speakersMing-Yu Liu on Cosmos World Models and the Long Road to Physical AIGuest 刘洺堉 · Host 张小珺From image generation and research management to Cosmos 3, NVIDIA’s research leader discusses foundations for physical AI.
1:40:35ZH → EnglishZhang Xiaojun Podcast· Jul 31, 2026Podcast · 2 speakersZiming Liu: Can a Science of AI Accelerate AI Research?Guest 刘子鸣 · Host 张小珺From KAN to meta-models and automated research, Liu discusses new labs and questions that remain to be tested.
4:23:11ZH → EnglishZhang Xiaojun Podcast· Apr 20, 2026Podcast · 2 speakersCarina Hong: Teaching AI Mathematics, from Formal Proof to Founding AxiomGuest 洪乐潼 · Host 张小珺The Axiom founder discusses the beauty of mathematics, verifying proofs in Lean, and her path from mathematical research to AI entrepreneurship.
2:29:41ZH → EnglishZhang Xiaojun Podcast· Apr 7, 2025Podcast · 4 speakersChen Jianyu: How Robot Foundation Models Can Become General-Purpose VLA SystemsGuest 陈建宇 · Host 张小珺From SayCan and RT-2 to Diffusion Policy, Tsinghua assistant professor and Epoch Robotics founder Chen Jianyu traces the path from borrowing language models to end-to-end VLA. The hard problems remain diverse data, cross-embodiment generalization, and high-frequency action control.
2:36:13ZH → EnglishZhang Xiaojun Podcast· Feb 24, 2025Podcast · 2 speakersSonglin Yang on New Attention Papers from DeepSeek, Kimi, and MiniMaxGuest Songlin Yang（松琳） · Host 张小珺From dynamic sparse attention to hybrid linear-attention architectures: how three approaches to long context balance training, inference, and hardware efficiency.
53:07ZH → EnglishZhang Xiaojun Podcast· Feb 17, 2025Podcast · 2 speakersZhang Yaqin on the AGI Roadmap: Information, Physical, and Biological IntelligenceGuest 张亚勤 · Host 张小珺Zhang Yaqin divides AGI’s development into information, physical, and biological intelligence. Information intelligence may approach human levels within five years, general-purpose robots may take about ten, and biological intelligence could expand human memory and health in twenty. He also discusses how large models can give autonomous vehicles and robots more data, common sense, and ability to act.
2:49:35ZH → EnglishZhang Xiaojun Podcast· Feb 4, 2025Podcast · 2 speakersPan Jiayi on R1, o1, and Kimi K1.5: How Reinforcement Learning Teaches Models to ReasonGuest 潘嘉怡 · Host 张小珺Pan Jiayi, a Berkeley PhD student, walks through reasoning-model reports from DeepSeek, OpenAI, and Kimi, unpacking long chains of thought, GRPO, reward design, and distillation. R1-Zero’s “aha moment” shows how reasoning strategies can emerge through reinforcement learning.
39:05ZH → EnglishZhang Xiaojun Podcast· Sep 25, 2024Podcast · 2 speakersWang Xiaochuan on o1, Reinforcement Learning, and Slow ThinkingGuest 王小川 · Host 张小珺Baichuan Intelligence’s founder discusses possible technical paths behind o1, healthcare applications, and choices for AI startups.
1:33:07ZH → EnglishZhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersLi Guangmi on a Year in Global LLMs: Scaling Law, the AGI Bet, and the US–China LandscapeGuest 李广密 · Host 张小珺Drawing on his front-row view from Silicon Valley, Shixiang Capital founder Li Guangmi looks back at the competition among OpenAI, Anthropic, Google, and Chinese model companies. He argues that model capability and cost together will shape the next wave of applications, while today’s enormous investments are bets on whether intelligence can keep scaling and how AI will reshape the economy and industry over the long term.