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3 slides30:11ZH → English
硅谷101· Oct 25, 2026How AI Is Reshaping Cross-Border Payments: From Transaction Routing and Risk Control to Agentic CommerceGuest Leo Li, Apple Gao · Host 陈茜硅谷101 starts from a cross-border airfare payment to unpack how complex payment networks really are, and how Antom is bringing AI into operations, risk decisions, and agent-driven commerce.FintechAgentic commerceAI in finance+2
2:34:18ZH → English
Zhang Xiaojun Podcast· Sep 3, 2026Podcast · 2 speakersZeng Ming on AI’s Three Stages and the Decline of the CompanyGuest 曾鸣 · Host 张小珺Drawing on the history of the internet, the industrial revolution, and electrification, strategy scholar Zeng Ming argues that AI is moving from infrastructure to agent applications and, eventually, native applications. He believes the next generation of organizations will be rebuilt around tasks, creativity, and human-AI collaboration as the industrial-era hierarchy fades.AI StrategyStrategyAgents+2
3 slides3:43:42ZH → English
罗永浩的十字路口· Sep 1, 2026Podcast · 2 speakersShougong Geng: The Dadaist in the Village Hardware ShopGuest 手工耿 · Host 罗永浩Luo Yonghao sits down with Shougong Geng for a serious talk about the road from stainless-steel slippers nobody would buy to being treated worldwide as a comic inventor—while Geng himself has always believed those things were useful.CreativityCreator EconomyComedy+2
46:26ZH → English
Zhang Xiaojun Podcast· Dec 9, 2025Podcast · 2 speakersXiaohu 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.Venture CapitalAI StrategyOpenAI+2
2:06:16ZH → English
Zhang Xiaojun Podcast· Nov 28, 2025Podcast · 2 speakersTan Jie: Data Is the Bottleneck for General-Purpose Robot Intelligence, and a General Form Will Take TimeGuest 谭捷 · Host 张小珺Tan Jie, a robotics research scientist at Google DeepMind, looks back on his path from computer graphics to robotics, from reinforcement learning to Gemini Robotics. He argues that robot foundation models have not yet become an independent discipline, and that data scale and coverage, cross-embodiment transfer, real-time reasoning, and safety remain key to real-world applications.RoboticsFoundation ModelsWorld models+2
1:48:46ZH → English
Zhang Xiaojun Podcast· Nov 18, 2025Podcast · 2 speakersLiu Xianming: Removing Language to Bring Physical AI Back to Data and ActionGuest 刘先明 · Host 张小珺Liu Xianming, head of XPeng’s Autonomous Driving Center, explains why language supervision in the middle of 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 data at scale, organizational change, production safety, and what comes next for autonomous driving.Autonomous DrivingAI StrategyRobotics+2
16 slides23:39ZH → English
跟李沐学AI· Jul 23, 2025Li Mu: Adding Ten Million Hours of Speech to a Text LLM, Open-Sourcing Higgs Audio李沐 · Boson AILi Mu explains how the team added a huge amount of speech data to text LLM training, built an AudioLLM that can listen and speak, and open-sourced Higgs Audio. He covers architecture trade-offs, token compression, where the data came from, and how to run it on a 3090.Voice AIMultimodal AIModels & training+2
1:32:16ZH → English
Zhang Xiaojun Podcast· Jun 20, 2025Podcast · 2 speakersWang Xin on Mercedes-Benz R&D in China: Redefining Luxury and Safety Through TransformationGuest 王忻 · Host 张小珺Wang Xin, head of R&D for Mercedes-Benz China, looks back at two decades of technological cycles in China’s auto industry and how the local team moved from testing support to product development. As intelligent vehicles intensify competition, he argues that speed, data, and localization must remain grounded in safety and user experience.Autonomous DrivingSelf-Driving CarsProduct Strategy+2
2:29:41ZH → English
Zhang 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.RoboticsModels & trainingMultimodal AI+2
2:36:13ZH
Zhang Xiaojun Podcast· Feb 24, 2025Podcast · 2 speakers松琳逐篇解读 DeepSeek、Kimi 与 MiniMax 的注意力新论文Guest Songlin Yang(松琳) · Host 张小珺MIT 博士生 Songlin Yang(松琳)拆解 DeepSeek 的 Native Sparse Attention、Kimi 的 MoBA 和 MiniMax-01 的 Lightning Attention,比较三条路线如何在长上下文、训练效率与 GPU 硬件之间取舍。Transformers & attentionGPU programming & kernelsModels & training+2
2:49:35ZH → English
Zhang 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Berkeley PhD candidate Pan Jiayi 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.Reinforcement LearningModels & trainingAI research+2
1:27:13ZH → English
Zhang Xiaojun Podcast· Dec 29, 2024Podcast · 2 speakersLi Xiang: Cars Will Evolve from Transportation into Spatial RobotsGuest 李想 · Host 张小珺Li Xiang, CEO of Li Auto, explains why the company is moving from carmaking toward AI: foundation models are the operating system of the AI era, and cars are a key vehicle for bringing AI into the physical world. For him, technology must ultimately deliver better user experiences, capabilities, and long-term value.AI StrategyProduct StrategyAutonomous Driving+2
1:27:02ZH → English
Zhang Xiaojun Podcast· Sep 5, 2024Podcast · 3 speakersGuangmi: Self-Play RL Could Open a New Scaling Law for AGIGuest 广密 · Host 张小珺Guangmi believes the marginal returns from scaling language pretraining alone may be diminishing, making self-play reinforcement learning a more promising path. Whether it generalizes to code, video, robotics, and beyond will shape the next stage of the AGI race.Reinforcement LearningAGIScaling Laws+2
1:13:06ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersShi Hongjun: Bringing Munger to China—and Starting Over with His HelpGuest 施宏俊 · Host 张小珺Poor Charlie’s Almanack has sold more than 1.15 million copies in China. Publisher Shi Hongjun reflects on the ideas behind that success, the golden age of Chinese publishing, and how Munger’s thinking led him to leave management and found the Munger Academy.InvestingHistoryCareer Growth+2
1:08:29ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersColin on Corporate Infighting: When Competition Becomes a DrainGuest Colin · Host 张小珺Colin and Zhang Xiaojun examine strategy, rules, culture and individual choices to distinguish useful competition from internal waste.ManagementCompany CultureLeadership+2
1:33:07ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersGuangmi on a Year of Global Large Models: Scaling Law, the AGI Bet, and China–U.S. CompetitionGuest 李广密 · Host 张小珺Li Guangmi, founder of Shixiang, looks back from Silicon Valley at the competition among OpenAI, Anthropic, Google, and Chinese model companies. He sees model capability and cost as the forces behind the next application boom, while the enormous investment is a bet on whether intelligence can keep scaling and reshape the economy over time.Models & trainingScaling LawsAI research+2
1:14:56ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 2 speakersWang Yajun on Jensen Huang’s Organizational System: Distributed Decision-Making for InnovationGuest 王亚军 · Host 张小珺Wang Yajun, former CSO of Longfor Group, examines the relationship between strategy, products, and organization through NVIDIA’s no-layoff policy, 60 direct reports, and light planning. The point is not to copy the form, but to build candor, trust, and lateral collaboration so more people have the information they need to make decisions.ManagementEnterprise & strategyLeadership+2
49:41ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 3 speakersFu Sheng: Large Models Are a Productivity Revolution, and Robotics Has a New Window of OpportunityGuest 傅盛 · Host 张小珺Fu Sheng sees logic and reasoning as the essence of large models, and their impact as closer to the steam engine than to another routine internet upgrade. He reflects on accessible models, service robots, and how founders navigate downturns, revisiting both his past judgments and his state of mind.AI StrategyModels & trainingRobotics+2
1:07:14ZH → English
Zhang Xiaojun Podcast· Aug 17, 2024Podcast · 3 speakersWang Yajun: Emotional Intelligence Is No Universal Fix for OrganizationsGuest 王亚军 · Host 张小珺Wang Yajun, former chief strategy officer at Longfor, discusses emotional intelligence, reason, and collaboration. Individuals may use it to adapt, but companies need shared methods that scale. When executives rely on reading people and managing relationships, decisions can lose touch with reality.Enterprise & strategyCompany BuildingLeadership+2