You are listening to Curiosity Curated. I am Zong. A ship is taking shape inside a shipyard. Steel sections are being joined together. Cranes move overhead. Workers fit machinery and systems into spaces that, from the ground, seem impossibly large. Slowly, almost piece by piece, something begins to emerge that is capable of crossing an ocean and carrying thousands of tons of cargo. But the remarkable thing isn't really the ship. It's everything that has to exist before the ship can be built. It needs steel. Engines. Electrical equipment. Machine tools. Engineers and skilled workers. Ports and logistics. Suppliers that know how to deliver the right component at the right time. And, perhaps most importantly, decades of accumulated knowledge about how all of these pieces fit together. A shipyard, in other words, is not simply a factory. It is the visible part of a much larger industrial system. And today, that system has become a subject of growing strategic attention, which raises a question that goes far beyond ships: What happens when the ability to make things becomes a form of power, and when that ability takes decades to build, but can erode or even disappear much faster? That is the story of industrial capacity. 00:10 Episode Intro 02:23 Ships Are the Clue 05:07 What is Industrial Capacity? 09:08 How Capacity Accumulates 17:18 How Capacity Erodes 26:27 Why Governments Intervene 36:44 The Hidden Limits of Capacity 40:55 Why Capacity Matters Sources: UN Trade and Development (UNCTAD). Review of Maritime Transport 2025: Staying the Course in Turbulent Waters. J. Y. Kang, Song Kim, Hugh Murphy, and Stig Tenold. British Financial, Managerial and Technical Assistance in Establishing the Global Shipbuilding Giant, Hyundai Heavy Industries. Patrick McGee. Apple in China. Mario Draghi. The Future of European Competitiveness. Simon J. Evenett, Adam Jakubik, Fernando Martín, and Michele Ruta. The Return of Industrial Policy in Data. U.S. Department of Energy. Large Power Transformer Resilience: Report to Congress. NASA. NASA News & Notes, Vol. 36, No. 2. Airbus. 50th Anniversary of the First Flight of the Airbus A300. U.S. Army Center of Military History. Mobilization. Music: “Distant Signals” by Ethan Sloan (Epidemic Sound) “Calling” by Ooyy (Epidemic Sound) “Between Moments” by Amber Glow (Epidemic Sound) “Separate” by Everything (Epidemic Sound) “Wilderness” by Hanna Lindgren (Epidemic Sound) “Depths Emerging” by Hanna Lindgren (Epidemic Sound) “CHALLENGER” by Binary Echoes / Cherry The Penguin (Epidemic Sound) “Waves of Time” by Amber Glow (Epidemic Sound) “PAUS” by 369 (Epidemic Sound) “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

您正在收听的是Curiosity Curated。我是Zong。 船厂里，一艘船正逐步成形。钢结构部件正在被一段段拼接起来，起重机在头顶来回移动。工人们将各种机械和设备，安装进那些从地面望去、仿佛大得不可思议的空间里。一点一点，几乎是一块一块地，一个能够横跨大洋、运载数千吨货物的庞然大物开始显现。 但真正令人惊叹的并非这艘船本身，而是在建造它之前所必须具备的一切。它需要钢材，发动机、电气设备、和机床。需要工程师和熟练的技术工人，需要港口和物流。还需要那些知道如何在正确时间、把正确零部件交付到正确地点的供应商。而也许最重要的是，几十年来积累下的关于所有这些环节究竟如何彼此配合的知识。 换言之，船厂并不只是一座工厂。它只是一个庞大的工业体系中，看得见的那一部分。 而如今，这样的体系正受到越来越多的战略层面的关注，这也引发了一个远超造船范畴的问题：当一个国家的制造能力演变成其国家力量的基石，而这种历经数十年方能筑就的力量，却可能在短得多的时间里逐渐衰退，甚至消失，究竟会发生什么？ 这就是工业产能的故事。 00:10 本集介绍 02:23 船舶是线索 05:10 什么是工业产能？ 09:22 产能如何积累？ 17:45 产能如何被侵蚀？ 27:00 为什么政府会干预？ 37:40 产能的隐性边界 41:54 产能为什么重要？ Sources: UN Trade and Development (UNCTAD). Review of Maritime Transport 2025: Staying the Course in Turbulent Waters. J. Y. Kang, Song Kim, Hugh Murphy, and Stig Tenold. British Financial, Managerial and Technical Assistance in Establishing the Global Shipbuilding Giant, Hyundai Heavy Industries. Patrick McGee. Apple in China. Mario Draghi. The Future of European Competitiveness. Simon J. Evenett, Adam Jakubik, Fernando Martín, and Michele Ruta. The Return of Industrial Policy in Data. U.S. Department of Energy. Large Power Transformer Resilience: Report to Congress. NASA. NASA News & Notes, Vol. 36, No. 2. Airbus. 50th Anniversary of the First Flight of the Airbus A300. U.S. Army Center of Military History. Mobilization. Music: “Distant Signals” by Ethan Sloan (Epidemic Sound) “Calling” by Ooyy (Epidemic Sound) “Between Moments” by Amber Glow (Epidemic Sound) “Separate” by Everything (Epidemic Sound) “Wilderness” by Hanna Lindgren (Epidemic Sound) “Depths Emerging” by Hanna Lindgren (Epidemic Sound) “CHALLENGER” by Binary Echoes / Cherry The Penguin (Epidemic Sound) “Waves of Time” by Amber Glow (Epidemic Sound) “PAUS” by 369 (Epidemic Sound) “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

You are listening to Curiosity Curated. I am Zong. Imagine walking into your favorite coffee shop. The cashier greets you by name. The barista remembers your usual order, writes a small note on your cup, and asks how your weekend went. None of those interactions make the coffee taste better. In fact, they are exactly the kind of inefficiencies that modern businesses have spent decades trying to eliminate. Yet instead of replacing baristas with touchscreens and robotic coffee machines, companies like Starbucks have moved in the opposite direction: preserving human interaction, bringing back handwritten notes on cups, and encouraging more conversations. At first glance, it makes no sense. Artificial intelligence is becoming astonishingly capable. Companies everywhere are racing to automate customer service, programming, writing, even parts of medicine. Why would a business intentionally become less automated? That small contradiction hints at a much bigger puzzle. If technology keeps getting better, why do some jobs disappear, others become more productive, and still others seem to become more valuable precisely because they remain human? Today, we're going to explore why the future of work may not have a single destination, and why understanding the hidden economics behind these different outcomes matters far more than predicting the next AI breakthrough. 00:09 Episode Intro 02:06 Three Futures of Work: Why AI Creates Different Outcomes 09:38 Equilibrium I: Augmentation 22:40 Equilibrium II: Automation - When Collaboration Becomes a Constraint 33:55 Equilibrium III: Relational Value 43:58 The Selection Mechanism Sources: 1. Alex Imas. “What Will Be Scarce” (2026) 2. Dwarkesh Patel. “The Better AI Gets, the Smaller Its Share of the Economy Might Get” — with Alex Imas & Phil Trammell, Dwarkesh Podcast (2026) 3. Gregory C. Allen. “Four Keys to Understanding the Future of AI and Unemployment” (2026) 4. David Autor. “Why Are There Still So Many Jobs? The History and Future of Workplace Automation” (2015) 5. Erik Brynjolfsson, Danielle Li & Lindsey Raymond. “Generative AI at Work” (2023) 6. All-In Podcast. “Palo Alto Networks CEO: ‘AI Found 5 Years of Bugs in 6 Weeks’” Music: “Burn Out (Instrumental)” by Victor Lundberg (Epidemic Sound) “Tend” by Trevor Kowalski (Epidemic Sound) “Mindscape” by Lennon Hutton (Epidemic Sound) “This Valley of Ours” by Trevor Kowalski (Epidemic Sound) “Tall Tale” by Trevor Kowalski (Epidemic Sound) “Turn Again” by Lotus (Epidemic Sound) “H-thirteen” by Lotus (Epidemic Sound) “Idiosyncrasies” by Gavin Luke (Epidemic Sound) “Homecoming” by Gavin Luke (Epidemic Sound)

您正在收听的是Curiosity Curated。我是Zong。 想象一下，你走进自己最喜欢的咖啡店。收银员会直呼你的名字，向你打招呼。 咖啡师记得你常点的饮品，在杯子上写下一句小小的留言，还会问你周末过得怎样。所有这些互动并不会让咖啡变得更加好喝。事实上，它们恰恰是企业数十年来一直试图消除的那类低效率。 然而，企业并没有用触屏点餐机和机器人来取代咖啡师；相反，像星巴克这样的公司反而朝着相反的方向迈进: 保留人与人之间的互动，恢复在杯子上手写留言，并鼓励更多的交流。 乍一看，这似乎毫无道理。人工智能正变得惊人地强大。各家公司都在竞相实现客服、编程、写作、甚至部分医疗领域的自动化。既然自动化变得更容易、更便宜，为什么一家企业反而要刻意降低自动化程度？ 这一小小的矛盾，揭示了一个更大的谜题。如果技术不断进步，为什么有些工作会消失，有些工作会变得更高效，而另一些工作却恰恰因为保留了“人”的特质而显得更加有价值？ 今天，我们将探讨为什么工作的未来可能并非只有一个方向，以及为什么理解这些不同未来背后的隐藏的经济学逻辑，在某些时刻，远比预测下一次人工智能突破更为重要。 00:09 本集介绍 02:07 工作的三种未来：为何人工智能会带来不同的结果 09:12 均衡 I：增强 (Augmentation) 20:51 均衡 II：自动化 (Automation) - 当协作变成一种约束 30:55 均衡 III：关系型价值 (Relational Value) 39:31 选择机制 Sources: 1. Alex Imas. “What Will Be Scarce” (2026) 2. Dwarkesh Patel. “The Better AI Gets, the Smaller Its Share of the Economy Might Get” — with Alex Imas & Phil Trammell, Dwarkesh Podcast (2026) 3. Gregory C. Allen. “Four Keys to Understanding the Future of AI and Unemployment” (2026) 4. David Autor. “Why Are There Still So Many Jobs? The History and Future of Workplace Automation” (2015) 5. Erik Brynjolfsson, Danielle Li & Lindsey Raymond. “Generative AI at Work” (2023) 6. All-In Podcast. “Palo Alto Networks CEO: ‘AI Found 5 Years of Bugs in 6 Weeks’” Music: “Burn Out (Instrumental)” by Victor Lundberg (Epidemic Sound) “Tend” by Trevor Kowalski (Epidemic Sound) “Mindscape” by Lennon Hutton (Epidemic Sound) “This Valley of Ours” by Trevor Kowalski (Epidemic Sound) “Tall Tale” by Trevor Kowalski (Epidemic Sound) “Turn Again” by Lotus (Epidemic Sound) “H-thirteen” by Lotus (Epidemic Sound) “Idiosyncrasies” by Gavin Luke (Epidemic Sound) “Homecoming” by Gavin Luke (Epidemic Sound)

You are listening to Curiosity Curated. I am Zong. A family studies a tuition number larger than many annual salaries. A student with top grades opens an admissions portal—and sees another rejection. A professor wonders whether certain ideas are safer left unsaid. A college president looks at demographic projections and sees fewer students coming. And somewhere in Silicon Valley, new AI systems quietly raise a question no university can ignore: if information is now abundant, instant, and increasingly automated —what exactly is the university for? For much of the last century and into the beginning of this one, American universities were among the most admired pillars of national life: places where families climbed into the middle class, scientists changed the world, and students from across the globe dreamed of studying. But institutions built for one era are now entering another. They remain wealthy, prestigious, and powerful. Yet many are also mistrusted. Public confidence has fallen sharply. Costs are questioned. Admissions feel opaque. Politics is escalating. And AI is forcing old assumptions about learning into the open. Recently, even elite universities began asking hard questions themselves. Yale examined why trust in higher education has declined. Cornell asked what the future American university should become. So how did America’s most successful universities arrive at this crossroads, and how are some now trying to reinvent themselves for the future? [A note to listeners: I approach this topic not as an outsider, but as someone who has benefited from elite higher education. As a graduate of one of these institutions, I understand why many people remain proud of them. I do too. I also think loyalty should include asking hard questions because I still believe these institutions matter.] 00:08 Episode Intro 03:05 When Universities Became a National & Global Success Story 11:05 Confidence Steadily Frayed 11:58 Cost and Value Anxiety 13:55 Admissions Legitimacy Strains 15:42 Intellectual Climate and Self-Censorship 18:13 Knowledge Trust and Research Integrity 19:38 The Deeper Pattern 20:35 Strained Economics/Enrollment Cliff 28:34 Politics, Government, and AI Shock 33:58 Paths toward Renewal 42:22 Conclusion Sources: 1. Georgetown Center on Education and the Workforce. College ROI studies. 2. Institute of International Education. Open Doors Report. 3. Vannevar Bush. Science, The Endless Frontier. 1945. 4. Gallup. Confidence in Higher Education polling series. 5. Chetty, Friedman, Saez et al. "Diversifying Society’s Leaders? The Determinants and Causal Effects of Admission to Highly Selective Private Colleges." Opportunity Insights / NBER. 6. FIRE. 2025 College Free Speech Rankings. 7. Arthur Brooks. "Universities Have a Conformity Problem." The Free Press. 8. PLOS Biology. "Research culture and the reproducibility crisis". 9. Associated Press. "Hampshire College, which counts filmmaker Ken Burns among its alumni, is closing later this year." AP News, Apr. 2026. 10. WICHE. Knocking at the College Door. 11. Michael B. Horn & Steven M. ShulmanThe Financial Risk of Declining Enrollment to Midsize Colleges: An Analysis of Private Institutions in New England 12. Robert KelchenColleges Are Closing. Who Might Be Next? How Machine Learning Can Fill Data Gaps and Forecast the Future 13. Yale University. Report of the Yale Committee on Trust in Higher Education. 2026. 14. Cornell University. Provost’s Committee on the Future of the American University: Preliminary Framework Executive Summary. 2026. Music: “Hand Cover Bruises” by Trent Reznor & Atticus Ross ⁠⁠ “Inner Light” by Elderbrook ⁠⁠ “Pattern of the North” by Rival Consoles ⁠⁠ “We Move Lightly” by Dustin O'Halloran “Sense of Relief” by Hanna Lindgren ⁠⁠(Epidemic Sound) “Beginner’s Mind” by Hanna Lindgren ⁠⁠(Epidemic Sound) “Everywhere except Right Here” by Hanna Lindgren ⁠⁠(Epidemic Sound) “A Gentle Embrace” by Hanna Lindgren ⁠⁠(Epidemic Sound) “For Those Who Know” by Gavin Luke ⁠⁠(Epidemic Sound) “Sense of Touch” by Helmut Schenker ⁠⁠(Epidemic Sound) “Shifting Waters” by Helmut Schenker ⁠⁠(Epidemic Sound) “DOX” by Lennon Hutton ⁠⁠(Epidemic Sound) “Some” by Nils Frahm ⁠⁠ “Only The Winds” by Olafur Arnalds ⁠ “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

您正在收听的是Curiosity Curated。我是Zong。 一个家庭正盯着一笔比许多人年薪还要高的学费。一名成绩优异的学生打开录取页面，却又收到一封拒信。一位教授在思考，某些想法是否还是不说为好。一位大学校长看着人口预测数据，发现未来学生人数将会减少。而在硅谷的某个角落，新一代人工智能系统悄然抛出了一个所有大学都无法忽视的问题：当信息如此丰富、即时，且其产出日益自动化，大学究竟是为何而存在？ 在过去一个多世纪乃至本世纪初，美国大学曾是其社会中最受推崇的支柱之一：这里是家庭迈入中产阶级的阶梯，科学家改变世界的舞台，也是全球学子梦寐以求的求学之地。 但为一个时代而建的机构，如今正步入另一个时代。它们依然财力雄厚、声望卓著、权势显赫。然而，许多高校也正面临信任危机。公众信心急剧下滑；学费问题备受质疑；招生流程显得不够透明；政治化趋势日益加剧；而人工智能正迫使人们重新审视关于学习的旧有假设。 最近，就连顶尖大学也开始自问这些棘手的问题。耶鲁大学探讨了高等教育信任度下降的原因，康奈尔大学则在思考未来的美国大学应当何去何从。 那么，美国最成功的大学是如何走到这个十字路口的？而如今，其中一些又如何试图重塑自我，以迎接未来？ [给听众的一点说明：我并不是以“局外人”的身份来探讨这个话题，而是作为一名曾受益于美国高等教育的人。作为其中一所学校的毕业生之一，我理解为何许多人为这些大学感到自豪。我也是。但我认为，真正的忠诚也应包含提出尖锐的问题，因为我依然坚信这些学校至关重要。] 00:08 本集介绍 02:58 当美国大学曾是国家与世界的成功典范 09:45 逐渐消磨的信任 10:36 费用与价值的焦虑 12:11 录取制度正当性的压力 13:55 学术氛围与自我审查 16:16 知识信任与科研诚信 18:19 财务压力/招生断崖 25:27 政治、政府与人工智能的冲击 30:12 通向革新之路 37:45 结语 Sources: 1. Georgetown Center on Education and the Workforce. College ROI studies. 2. Institute of International Education. Open Doors Report. 3. Vannevar Bush. Science, The Endless Frontier. 1945. 4. Gallup. Confidence in Higher Education polling series. 5. Chetty, Friedman, Saez et al. "Diversifying Society’s Leaders? The Determinants and Causal Effects of Admission to Highly Selective Private Colleges." Opportunity Insights / NBER. 6. FIRE. 2025 College Free Speech Rankings. 7. Arthur Brooks. "Universities Have a Conformity Problem." The Free Press. 8. PLOS Biology. "Research culture and the reproducibility crisis". 9. Associated Press. "Hampshire College, which counts filmmaker Ken Burns among its alumni, is closing later this year." AP News, Apr. 2026. 10. WICHE. Knocking at the College Door. 11. Michael B. Horn & Steven M. ShulmanThe Financial Risk of Declining Enrollment to Midsize Colleges: An Analysis of Private Institutions in New England 12. Robert KelchenColleges Are Closing. Who Might Be Next? How Machine Learning Can Fill Data Gaps and Forecast the Future 13. Yale University. Report of the Yale Committee on Trust in Higher Education. 2026. 14. Cornell University. Provost’s Committee on the Future of the American University: Preliminary Framework Executive Summary. 2026. Music: “Hand Cover Bruises” by Trent Reznor & Atticus Ross ⁠⁠ “Inner Light” by Elderbrook ⁠⁠ “Pattern of the North” by Rival Consoles ⁠⁠ “We Move Lightly” by Dustin O'Halloran “Sense of Relief” by Hanna Lindgren ⁠⁠(Epidemic Sound) “Beginner’s Mind” by Hanna Lindgren ⁠⁠(Epidemic Sound) “Everywhere except Right Here” by Hanna Lindgren ⁠⁠(Epidemic Sound) “A Gentle Embrace” by Hanna Lindgren ⁠⁠(Epidemic Sound) “For Those Who Know” by Gavin Luke ⁠⁠(Epidemic Sound) “Sense of Touch” by Helmut Schenker ⁠⁠(Epidemic Sound) “Shifting Waters” by Helmut Schenker ⁠⁠(Epidemic Sound) “DOX” by Lennon Hutton ⁠⁠(Epidemic Sound) “Some” by Nils Frahm ⁠⁠ “Only The Winds” by Olafur Arnalds ⁠ “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

You are listening to Curiosity Curated. I am Zong. A soldier in eastern Ukraine hears a sound. Not loud. Not dramatic. Just…a faint buzzing. Small, persistent, and getting closer. It’s not a jet. Not artillery. It’s something else, something that barely existed in war a decade ago. A drone. Somewhere above him, a first-person-view (FPV) drone is hunting. Its camera streams video back to an operator, and increasingly to software. Software that can spot shapes, track movement, and steer the final seconds of an attack. And here’s the unsettling part: that drone might cost less than a smartphone. But it can disable a tank worth millions. For most of modern history, military advantage followed a familiar rule: big budgets buy big platforms. But on today’s battlefield, that rule is bending. Because the question isn’t only how powerful a system is. It’s how many you can field, how quickly you can replace them, and how much autonomy you can safely push to software. This isn’t a future scenario. It’s already happening in Ukraine, and it may be a preview of what war is becoming. 00:09 Episode Intro 02:21 The $500 vs $3 Million Problem 07:00 From Precision to Attrition 12:21 AI as Battlefield Infrastructure 19:09 Integration Friction 25:42 Unresolved Tensions 29:21 Closing Music: “On Alert” by Ethan Sloan (Epidemic Sound) “I Left My Home” by Mjhanks “Tracker” by Christoffer Moe Ditlevsen (Epidemic Sound) “Hours” by Max Anson (Epidemic Sound) “Subterranean (adapted)” by james.lfo (Epidemic Sound) “Haptic Sensation” by Jay Varton (Epidemic Sound) “Labyrinth” by Lennon Hutton (Epidemic Sound) “Sierra” by Steven Gutheinz “Parallelograms” by Charles Holme (Epidemic Sound) “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

您正在收听的是Curiosity Curated。我是Zong。 乌克兰东部的一名士兵听到了某种声响。既不响亮，也不剧烈。只是一阵微弱的嗡嗡声。声音虽然微弱，但却持续不断，而且听起来越来越近。那应该不是战斗机，也不是火炮。而是别的什么东西，一种十年前在战场上几乎不存在的东西。一架无人机。 在他上方的某处，一架第一人称视角FPV无人机正在搜寻目标。它的摄像头将视频实时传回给操作员，而且越来越多地传回给某种AI软件。那套软件可以识别物体的轮廓，追踪移动轨迹，并操控攻击的最后几秒。 而令人不安的是: 那架无人机的成本可能比一部智能手机还便宜，但它却能摧毁价值数百万美元的坦克。在现代历史的大部分时间里，军事优势遵循着一个熟悉的规则: 巨额预算购买大型作战平台。但在当今的战场上，这条规则正在发生变化。因为问题的关键不再仅仅在于一个系统有多么强大，更在于你能部署多少，能多快得替换它们，以及你能安全地将多少自主权交给AI软件。 这并非未来设想。这一切正在乌克兰上演，而且或许预示着战争的未来面貌。 00:09 本集介绍 02:26 500美元对阵300万美元的难题 06:56 从精准打击到消耗战 11:45 人工智能作为战场上的基础设施 18:06 整合的阻力 24:18 未解的矛盾与张力 27:53 结语 Music: “On Alert” by Ethan Sloan (Epidemic Sound) “I Left My Home” by Mjhanks “Tracker” by Christoffer Moe Ditlevsen (Epidemic Sound) “Hours” by Max Anson (Epidemic Sound) “Subterranean (adapted)” by james.lfo (Epidemic Sound) “Haptic Sensation” by Jay Varton (Epidemic Sound) “Labyrinth” by Lennon Hutton (Epidemic Sound) “Sierra” by Steven Gutheinz “Parallelograms” by Charles Holme (Epidemic Sound) “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

You are listening to Curiosity Curated. I am Zong. You’re applying for a job. You don’t submit a resume. You grant temporary access to your AI agent. The company’s AI evaluates yours. It gives your agent a few tasks. Summarize this dataset. Draft a client email. Analyze this market and propose a strategy. And within minutes, it has a clear picture of what you can actually do. Not what you say you can do. But what your system can do. Now—this is a hypothetical scenario. But it’s not coming out of nowhere. Because something important has already started to change in how AI works today. 00:08 Episode Intro 01:34 From Answering to Acting 02:05 Tool Use (Function Calling) 03:27 MCP (Model Context Protocol) 05:04 OpenClaw 08:15 What is Skill? 10:22 Work Redefined - A Scenario 15:28 Capabilities Externalized 17:33 Rethinking Ownership 23:32 The Shift in Power 26:51 Alternative Paths 29:35 Where Does This Leave Us? Music: “Blade Runner Blues” by Vangelis “Harvest Moon” by Neil Armstrong “Xtal” by Aphex Twin “Celestial Calling” by Fog Temple “Dayvan Cowboy” by Boards of Canada “Window“ by The Album Leaf “Steep Hills of Vicodin Tears” by A Winged Victory for the Sullen “Infra 5” by Max Richter “Spiegel im Spiegel” by Arvo Pärt “Your Hand in Mine by Explosions” in the Sky “mood swings” by littl. “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

您正在收听的是Curiosity Curated。我是Zong。 你正在应聘一份工作。你不需要提交简历。只需要授予对你的AI智能体的临时访问权限。公司的AI会评估你的智能体。它给你的智能体分配几项任务。总结这组数据集。起草一封客户邮件。分析这个市场并提出解决某个问题的策略。几分钟之内，它就清楚地了解了你实际能做什么。不是你说你能做什么。而是你通过你的系统能做什么。 当然——这是一个假设场景。但它并非凭空而来。因为在如今AI的工作方式中，一些重要的变化已经开始发生。 00:08 本集介绍 01:35 从“回答问题”到“执行任务” 01:58 工具调用 (Tool Use/Function Calling) 03:15 MCP（模型上下文协议） 04:48 小龙虾(OpenClaw) 08:13 什么是Skills (技能)? 10:09 工作被如何重新定义：一种场景猜想 15:03 能力的外部化 17:00 重新思考所有权 22:28 权力的转移 25:37 替代路径 28:20 这将把我们带向何方？ Music: “Blade Runner Blues” by Vangelis “Harvest Moon” by Neil Armstrong “Xtal” by Aphex Twin “Celestial Calling” by Fog Temple “Dayvan Cowboy” by Boards of Canada “Window“ by The Album Leaf “Steep Hills of Vicodin Tears” by A Winged Victory for the Sullen “Infra 5” by Max Richter “Spiegel im Spiegel” by Arvo Pärt “Your Hand in Mine by Explosions” in the Sky “mood swings” by littl. “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

You are listening to Curiosity Curated. I am Zong. Today, SpaceX is the most active launch company in human history. In 2025 alone, it completed 170 rocket launches, nearly one launch every other day. That’s more rockets than what the rest of the world’s COUNTRIES combined have launched. SpaceX accounted for the vast majority of all US launches in 2025. For comparison, China, the next most active country, launched 93 rockets. But in September 2008, SpaceX was a very different company. By then, it had already failed three times: three launches, three rockets lost, no orbit. And it had enough money left for just one more attempt. If the fourth rocket failed, SpaceX would not regroup, pivot, or quietly wind down. The company would shut down. This season is about how SpaceX learned, under extreme pressure, to do something that for most of modern history only governments had done: build an orbital rocket and survive long enough to learn from failure. The backbone of this season comes from two books by space journalist Eric Berger: Liftoff and Reentry. Berger reported closely with SpaceX engineers and is unusually willing to explainwhat actually broke, how it broke, and why that mattered. A quick note for longtime listeners: if you’ve listened to my first season on the history of spaceflight, especially the episodes on the early days of SpaceX, This episode revisits that same period. If you prefer, you can skip ahead to Episode 2. For everyone else, let’s start with a simple question: Why did SpaceX exist at all? 01:17 Episode Intro 03:24 Why SpaceX Existed At All 07:27 Building the First Organization 12:20 The Engine Bet: Merlin and the Problem of Propulsion 18:05 Kwajalein: from Test Stand to Launch Pad 22:52 Flight 1 & 2: Learning the Wrong Way 27:45 Flight 3: Near Success, Total Collapse 29:50 The C-17 Crisis and Zach Dunn 33:52 Flight 4: Orbit 35:15 What Survival Bought Them 38:45 Outro Sources: Liftoff by Eric Berger Reentry by Eric Berger Music: “Intro” by ODESZA “A Moment Apart” by ODESZA “E-Pro” by Beck “Tied Up in Nottz” by Sleaford Mods “Feelin’ Alright” by Joe Cocker “Imploding Dimension” by Alistair Hetherington “I Might Be Wrong” by Radiohead “The Times They Are A-Changing” by Fort Nowhere “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

You are listening to Curiosity Curated. I am Zong. Falcon 1 reached orbit on September 28, 2008. For SpaceX, that moment has often been remembered as a triumph. And in one narrow sense, it was. A privately funded company had done what only governments had managed before. But orbit was not the finish line. It was the entry fee. From the outside, it was easy to mistake success for arrival. Inside SpaceX, the engineers understood something harsher: getting lucky once did not mean they knew how to build a launch company. Falcon 1 proved SpaceX could reach orbit, not that it could repeat success, earn customer trust, or survive in an industry intolerant of failure. The paradox of survival is that it raises the stakes. When SpaceX failed early on, it was expected. Now, when SpaceX failed, it would be disqualifying. After Falcon 1, SpaceX was no longer just an "interesting startup." It was now a launch provider, judged by the standards of an industry that prized reliability above all else. That shift changed everything, including what kind of rocket SpaceX needed to build next. To survive and thrive, SpaceX now had to build something far more demanding: a rocket capable of carrying serious payloads, flying on real schedules, and meeting the standards of customers, such as NASA, who would not tolerate learning through failure. That rocket was Falcon 9. Falcon 1 had been about survival under pressure. Falcon 9 would be about something much harder: operating at scale without margin for error. And that is the story Eric Berger tells in Reentry: How do you scale a company that has only just learned to survive? 01:16 Episode Intro 03:40 Nine Engines - Scaling Violence 07:33 Building a Launch System, Not Just a Rocket 11:39 First Flights: Success Without Comfort 16:33 Scaling Up: CRS Missions and a Bigger Rocket 19:09 The Road to Reusability 25:11 Falcon 9 Full Thrust (v1.2), Successful First-Stage Landings, Risk of Speed 33:15 Scale Changes Everything 37:48 What It’s Really Like to Work for Musk 40:19 Outro Sources: Liftoff by Eric Berger Reentry by Eric Berger Music: “Intro” by ODESZA “A Moment Apart” by ODESZA “Go Let It Out” by Oasis “Cryo” by Everyday Astronaut “How Many More Times” by Led Zeppelin “Ring of Fire” by Johnny Cash “Unicorns In Space” by Test Shot Starfish “Gosh” by Jamie xx “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

您正在收听的是Curiosity Curated。我是Zong。 如今，SpaceX已成为人类历史上最活跃的火箭发射公司。仅在2025年,它就完成了170次火箭发射，几乎每两天就发射一次。其发射数量超过了全球其他所有国家的总和。SpaceX占据了2025年美国绝大多数发射任务。相比之下，排名第二的中国发射了93枚火箭。 但在2008年9月,SpaceX还是一家截然不同的公司。当时，它已经连续失败了三次。三次发射，三枚火箭全毁，无一进入轨道。而公司剩余的资金仅支持最后一次尝试。如果第四枚火箭失败,SpaceX不会重整旗鼓、转型，或悄然收场，其将彻底关闭。 本季聚焦SpaceX如何在极端压力下，完成现代史上仅有政府机构能实现的壮举：建造轨道火箭并存续足够长的时间以从失败中汲取经验。 本季核心素材源自太空记者Eric Berger的两部著作：《Liftoff》与*《Reentry》*。Berger深入采访SpaceX工程师，罕见地详尽剖析了：每一次故障的具体问题、故障的发生机制、以及这些问题为何至关重要。 对于长期听众，若您曾收听过我关于航天史的首季节目，特别是关于SpaceX初创时期的那几集，本集将重访同一历史阶段，您可以直接跳到本期第2集。 对于其他听众，让我们从一个简单的问题开始：为什么SpaceX会存在? 01:16 本集介绍 03:17 SpaceX为何存在? 07:16 建立初始团队 11:39 Merlin发动机与推进难题 16:50 Kwajalein: 从试验台到发射台 21:08 首飞与二飞：从失败中学习 25:44 三飞：接近成功 27:28 C-17危机与Zach Dunn 31:15 四飞入轨 32:24 生存换来了什么 35:35 结语 Sources: Liftoff by Eric Berger Reentry by Eric Berger Music: “Intro” by ODESZA “A Moment Apart” by ODESZA “E-Pro” by Beck “Tied Up in Nottz” by Sleaford Mods “Feelin’ Alright” by Joe Cocker “Imploding Dimension” by Alistair Hetherington “I Might Be Wrong” by Radiohead “The Times They Are A-Changing” by Fort Nowhere “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

您正在收听的是Curiosity Curated。我是Zong。 猎鹰1号于2008年9月28日成功进入轨道。对SpaceX而言，这一刻常被记为辉煌的胜利。从狭义上说，确实如此。一家私营企业完成了此前仅有政府机构能实现的壮举。 但进入轨道并非终点线。它只是入场券。外界容易将成功误认为抵达终点，而在SpaceX内部，工程师们却深知更残酷的现实:一次幸运的成功，并不代表他们懂得如何打造一家航天公司。 猎鹰1号证明了SpaceX能够进入轨道，却无法保证成功可复制、赢得客户信任，或在容不得失败的行业中生存。生存的悖论在于它不断抬高门槛。早期SpaceX的失败尚在预期之中，如今若再失败，便意味着彻底出局。 在猎鹰1号之后，SpaceX不再只是一家"有趣的初创公司"。它现在是一家发射服务提供商，并按照一个将可靠性置于一切之上的行业标准来评判。这种转变改变了一切，包括SpaceX接下来需要建造什么样的火箭。 为了生存和发展，SpaceX必须打造更严苛的火箭：一枚能够承载重要有效载荷的火箭，能按实际计划飞行，并满足NASA等客户的标准，这些客户绝不容忍通过失败来学习。 那枚火箭就是猎鹰9号。 猎鹰1号的使命是在压力下求生，而猎鹰9号将面临更严峻的考验：以零容错率实现规模化运营。 这正是Eric Berger在《Reentry》中讲述的故事：当企业刚刚学会生存，如何实现规模化发展？ 01:16 本集介绍 03:26 推进系统的规模化：9台发动机 07:07 打造发射系统，而非仅是火箭 10:43 猎鹰9号头几次发射 15:00 规模扩张：CRS任务与更大火箭 17:08 火箭复用之路 22:25 猎鹰9号全推力版(v1.2)、一级火箭首次成功着陆、速度的风险 29:13 规模化改变一切 33:15 马斯克麾下真实的工作体验 35:34 结语 Sources: Liftoff by Eric BergerReentry by Eric Berger Music: “Intro” by ODESZA “A Moment Apart” by ODESZA “Go Let It Out” by Oasis “Cryo” by Everyday Astronaut “How Many More Times” by Led Zeppelin “Ring of Fire” by Johnny Cash “Unicorns In Space” by Test Shot Starfish “Gosh” by Jamie xx “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com

You are listening to Curiosity Curated. I am Zong. Let me start with a very simple question. What is the actual difference between being alive and being dead? Not in a poetic sense. Not philosophically. But physically. Take a single cell. A living cell and a dead cell can look almost identical under a microscope. They contain the same molecules. The same proteins. The same lipids. The same DNA. And yet one is alive — and the other is not. So what changed? It wasn’t the loss of information. DNA can remain intact long after death. It wasn’t the disappearance of structure. Membranes don’t instantly fall apart. What disappears, almost immediately, is activity. Inside a living cell, molecules are constantly being transformed. Carbon atoms are rearranged. Electrons are passed from one molecule to another. Energy is released, captured, and reused. This activity never stops — not for a moment. And the instant it does stop, life ends. This season is about that process. In his book Transformer, British biochemist Nick Lane makes a radically simple argument: life is not best understood as information. It is not best understood as genes. It is not even best understood as cells. Life is best understood as flow. A continuous, directed flow of energy and matter — what Lane calls metabolic flux. Today, I want to show you that metabolic flux is not peripheral to life, but the deepest physical description of what it means to be alive. 00:23 Episode Intro 02:38 The Triumph and Limits of the Gene-Centric View 06:03 Flux: Life as Continuous Transformation 08:08 The Krebs Cycle as the Core of Metabolism 10:13 Why Textbook Metabolism Misleads Us 12:18 Metabolism before Genes 13:40 Origins of Life: The Reverse Krebs Cycle 20:48 Why This Is Not a Just-So Story 25:07 Synthesis: Flux as the Deep Logic of Life 27:53 Conclusion Sources: Transformer by Nick Lane Music: “Meridian” by ODESZA “still feel” by half•alive “From the Deep Sea” by SVVN “Perpetual Motion” by Max Cooper “Who Am I” by Dario Lupo For any feedback, please contact: cur2zong@gmail.com