entity Updated 2026-08-10 Topics: Culture

Shizilukou Crossing

Shizilukou Crossing is the podcast/media context for 高手怎么用 AI?普通人怎么学 AI?投资人如何投 AI?|对谈课代表立正, OpenAI 和 Anthropic 共同看好的 FDE:AI 时代的新岗位出现,旧分工松动|对谈 Rolling AI, Agent 元年第 500 天:什么在消失,什么在诞生——为什么我们不该再投资 GUI 思维的软件?, 我遇到了第一个真正想买的陪伴机器人!|对话世博:越伴动力创始人【公路播客】, 对话 MiniMax 闫俊杰:M3、10X 计划、10T 模型、和智能的终局, 哪条路线,才能通往「世界模型」的终局?|对话黄碧薇:Aether AI 创始人, 2026 AI 游戏全景扫描:四层图景、三大误区、一个共识缺口|对谈 405 游局筱宁, 人类和 AI Agent 的最佳配合方式,还没被发明|对谈 Paperboy, 探秘 Claude Code,搞懂 Agent Harness|对谈来新璐, 当我们在讨论 Harness 的时候,我们在讨论什么 | 深度对谈: MiniMax × Hermes Agent, 为什么公司用不好AI?从焦虑到行动的 3 个关键动作|对谈百融智能张韶峰, “你有一把能够挖出金子的铲子,肯定不会先给别人用”|对谈开物纪陆子恒:用AI发明新材料, 把7位黑客松选手请进播客|冠军、怪才和48小时不眠的野心家, OpenClaw 之后,谁将定义主动式 AI 的新战场?|对谈 AirJelly 黄柏特, and 20 个问题,搞懂 OpenClaw:爆红机制、本质变化、创业机会. Across these sources, the show is positioned around the new AI technology wave, industry change, startup opportunities, and how AI affects individual work, investing, enterprise AI deployment, product design, consumer companion robotics, model-company practice, AI coding, AI hackathons and creator communities, causal approaches to physical intelligence, AI materials discovery, interactive entertainment, human-agent collaboration, proactive personal agents, agent infrastructure, agent harness design, digital employees, and service-market reconstruction.

“AGI 来了?我用了一周,头皮发麻“|对谈张昊然:Moxt 联合创始人 adds Moxt, Zhang Haoran, and Momo to the show’s agent-work thread, shifting the discussion from personal agents and harnesses toward AI-Native Workspace, Organizational Context, AI Coworkers, and generated work surfaces.

「1 亿 Token 俱乐部」挤爆了,AI 的燃料不够了:对谈于文渊 adds Yu Wenyuan, Aliyun Bailian, and Pingtouge to the show’s infrastructure thread. The episode shifts from agent products and model-company strategy toward MaaS Infrastructure, token growth, GPU scheduling, confidential inference, domestic compute supply, and AI coding responsibility.

具身智能的滔天大泡沫中,他已经把机器人送进300个家庭|对话张翼:未来不远创始人/CEO adds Zhang Yi, Weilai Buyuan, and F2 Home Robot to the show’s robotics thread. It shifts from companion-robot liveliness and causal world models toward Home Service Robots, real household deployment, Household Robot Data Flywheel, Consumer Robotics Full Stack, service-value pricing, and embodied-intelligence financing cycles.

她想造一个 AI 时代的“超级游乐场”|对谈 Roi:幕间创始人 / CEO adds Roi, Mujian, and Liblib to the show’s AI entertainment branch. It complements the Youju field-map episode by focusing on an operator building AI Simulation Content, creator tooling, platform identity, and AI Super Creators around controlled freedom and virtual-life experiences.

AI4S 需要狂人与野心家|对话英灵殿 Odin:"如果神存在,我怎能容忍自己不是神?"【公路播客】 adds Haotian Odin / 浩天, Yinglingdian AI / 英灵殿, O-Design / Odyssey, and L-Design to the show’s AI-for-science branch. The episode shifts from AI materials discovery toward All-Modal Molecular World Model, AI Drug Discovery Platform, AI Protein Design, Scientific Discovery Automation, and founder-level Platform-Pipeline Biotech Strategy.

快一点!再快一点!快到世界能实时生成|和生数科技张金涛聊:Vidu S1、推理加速、实时交互视频 adds 张金涛 / Zhang Jintao, 生数科技 / Shengshu Technology, Vidu, and Vidu S1 to the show’s AI-video and infrastructure branch. The episode shifts from generated media as content output toward Real-Time Interactive Video Generation, Streaming Video Generation, SAGE Attention, TurboDiffusion, and the Inference Acceleration Stack required for live visual sessions.

11 年,110 亿美金,然后呢?|对话 Airwallex 吴恺:AI 时代,下一站 1000 亿 adds Airwallex and Wu Kai / 吴恺 to the show’s fintech and AI-operations branch. It connects the show’s agent-interface discussions to Global Financial Network, Intelligent Finance, Kai (Airwallex), Airwallex Agent OS, T0 Finance, and ARID, showing how payment rails and regulated finance products may become agent-callable infrastructure.

「热爱一个行业15年的理由是什么?」|对谈汪天凡:我要投真正的快乐、投最纯的愿景、投人性的光辉【公路播客】 adds Will Wang Tianfan / 汪天凡 and B.A.I Capital to the show’s AI-investing branch. The episode shifts from individual tools, model companies, and agent systems toward investor judgment: Wisdom Over Intelligence / 智慧稀缺论, AI Context Machine / AI 上下文机器, AI-Native Investing Workflow, Three-Non Venture Theory / 三非理论, AI Infra Crypto Analogy, Blockchain Financial Innovation, and AI For Fun become one framework for backing AI products that preserve human agency, context, joy, and founder vision.

「模型能力已经够了,要卷就卷 infra」|对谈戴冠兰:Runta 创始人 adds 戴冠兰 / Dai Guanlan, Runta, and Runta Cloud Shell to the show’s agent-infrastructure branch. It shifts the discussion from harnesses and AI products toward Agent Runtime Execution Layer, Probabilistic Software, Enterprise Agent Governance, Agent Permission Boundaries, and AI Inference Cost Structure as the layer required before agents can hold production authority.

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