[
 {
  "id": "source-16de04a773d9acad",
  "status": "index",
  "format": "podcast",
  "title": "Governing AI Agents: Alan Chan of GovAI on Monitoring, Agent IDs, Rogue Agents & Preparing for RSI",
  "title_zh": "Alan Chan：智能体实时监控、身份与失控应对",
  "series": "Cognitive Revolution",
  "published": "2026-10-14",
  "added": "2026-10-15",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "alan-chan"
  ],
  "topics": [
   "agents",
   "governance",
   "security",
   "self-improvement"
  ],
  "one_liner": "GovAI 的 Alan Chan 与 Nathan Labenz 讨论自主智能体所需的治理基础设施，包括实时监控、动作拦截、身份标识和越权后的应对。",
  "intro": {
   "text": "GovAI 的 Alan Chan 与 Nathan Labenz 讨论自主智能体所需的治理基础设施，包括实时监控、动作拦截、身份标识和越权后的应对。\n\n访谈也涉及前沿实验室的暂停条件、嵌入式审计以及自动化 AI 研发可能带来的变化。节目中的事故解释和政策评价保留嘉宾判断与转述的边界。",
   "text_en": "GovAI’s Alan Chan joins Nathan Labenz to discuss governance infrastructure for autonomous agents, including real-time monitoring, action interception, agent identifiers, and responses to unauthorized behavior.\n\nThe interview also examines pause conditions, embedded auditing, and changes that automated AI research may bring. Incident interpretations and policy assessments retain their status as the guest’s judgments or accounts.",
   "basis": "publisher-description",
   "url": "https://www.cognitiverevolution.ai/governing-ai-agents-alan-chan-of-govai-on-monitoring-agent-ids-rogue-agents-preparing-for-rsi/",
   "checked": "2026-10-15",
   "source_title": "Governing AI Agents: Alan Chan of GovAI on Monitoring, Agent IDs, Rogue Agents & Preparing for RSI"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-16de04a773d9acad/"
 },
 {
  "id": "source-b3213ac311286890",
  "status": "index",
  "format": "podcast",
  "title": "Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert",
  "title_zh": "Nathan Lambert：开放模型能否追上闭源前沿？",
  "series": "a16z",
  "published": "2026-10-14",
  "added": "2026-10-15",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "nathan-lambert"
  ],
  "topics": [
   "paradigms",
   "compute",
   "business",
   "security"
  ],
  "one_liner": "Nathan Lambert 与 a16z 的 Lisha Li 讨论开放模型与闭源前沿模型的竞争，涉及算力、数据、人才、后训练与蒸馏。",
  "intro": {
   "text": "Nathan Lambert 与 a16z 的 Lisha Li 讨论开放模型与闭源前沿模型的竞争，涉及算力、数据、人才、后训练与蒸馏。\n\n对话也谈到中国实验室的资源约束，以及网络安全等能力扩散时社会准备是否充分。竞争格局与风险判断属于嘉宾分析，并非已经确定的行业结局。",
   "text_en": "Nathan Lambert and a16z’s Lisha Li discuss competition between open models and closed frontier systems, including compute, data, talent, post-training, and distillation.\n\nThey also consider resource constraints facing Chinese laboratories and society’s readiness for the diffusion of capabilities such as cybersecurity. Competitive and risk assessments are the guest’s analysis rather than settled outcomes.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=BKuK0M6oDTI",
   "checked": "2026-10-15",
   "source_title": "Can Open Models Keep Up With OpenAI and Anthropic? | Nathan Lambert"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-b3213ac311286890/"
 },
 {
  "id": "source-3a8d330a01adc589",
  "status": "index",
  "format": "podcast",
  "title": "Why Speeding Up AI Could Save Lives | Nick Bostrom",
  "title_zh": "Nick Bostrom：超级智能、放缓与暂停的取舍",
  "series": "MTS",
  "published": "2026-10-08",
  "added": "2026-10-15",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "nick-bostrom"
  ],
  "topics": [
   "agi",
   "alignment",
   "governance",
   "security"
  ],
  "one_liner": "Nick Bostrom 在 MTS 与 Theo Jaffee、Sofia Puccini 讨论超级智能、强化学习后训练与对齐，以及开放模型和生物安全的风险管理。",
  "intro": {
   "text": "Nick Bostrom 在 MTS 与 Theo Jaffee、Sofia Puccini 讨论超级智能、强化学习后训练与对齐，以及开放模型和生物安全的风险管理。\n\n他区分保留“放缓前沿”的选项与笼统的“暂停 AI”口号，并讨论政策执行可能带来的集中化后果。本条指向 MTS 原片，a16z 的后续转载不另计一场。",
   "text_en": "Nick Bostrom joins Theo Jaffee and Sofia Puccini on MTS to discuss superintelligence, reinforcement-learning post-training, alignment, and risk management for open models and biosecurity.\n\nHe distinguishes retaining an option to slow frontier development from a broad call to pause AI, and considers potential concentration resulting from policy implementation. This record links to the original MTS video; the later a16z republication is not counted separately.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=nAbIqt_w0g8",
   "checked": "2026-10-15",
   "source_title": "Why Speeding Up AI Could Save Lives | Nick Bostrom"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-3a8d330a01adc589/"
 },
 {
  "id": "source-327ec7b9ec7c4724",
  "status": "index",
  "format": "podcast",
  "title": "David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience",
  "title_zh": "David Silver 与 Lasse Espeholt：从经验中自主学习的超级学习者",
  "series": "Sequoia Training Data",
  "published": "2026-10-13",
  "added": "2026-10-14",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "david-silver",
   "lasse-espeholt"
  ],
  "topics": [
   "self-improvement",
   "agi",
   "paradigms",
   "alignment"
  ],
  "one_liner": "Ineffable Intelligence 的 David Silver 与 Lasse Espeholt 与 Sonya Huang 讨论一种从直接经验中持续学习的“超级学习者”，以及为何尝试不依赖人类预训练数据的研究路线。",
  "intro": {
   "text": "Ineffable Intelligence 的 David Silver 与 Lasse Espeholt 与 Sonya Huang 讨论一种从直接经验中持续学习的“超级学习者”，以及为何尝试不依赖人类预训练数据的研究路线。\n\n对话涵盖强化学习的扩展、仿真环境、具身学习和对齐问题。技术路线与时间预测属于嘉宾提出的研究计划和判断，应与实际验证结果区分。",
   "text_en": "David Silver and Lasse Espeholt of Ineffable Intelligence join Sonya Huang to discuss a “superlearner” that learns continually through direct experience and a research path without human pretraining data.\n\nThe conversation covers scaling reinforcement learning, simulation, embodied learning, and alignment. Research plans and timeline forecasts should be distinguished from demonstrated results.",
   "basis": "publisher-description",
   "url": "https://sequoiacap.com/podcast/david-silver-and-lasse-espeholt-of-ineffable-intelligence-a-superlearner-for-the-age-of-experience/",
   "checked": "2026-10-15",
   "source_title": "David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-327ec7b9ec7c4724/"
 },
 {
  "id": "source-3c36109201c0bb41",
  "status": "index",
  "format": "podcast",
  "title": "Nate Soares on How AI Really Could Kill Us All | Odd Lots",
  "title_zh": "Nate Soares：AI 风险、实验室责任与监管",
  "series": "Odd Lots",
  "published": "2026-10-12",
  "added": "2026-10-14",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "nate-soares"
  ],
  "topics": [
   "alignment",
   "governance",
   "security"
  ],
  "one_liner": "MIRI 的 Nate Soares 在 Bloomberg Odd Lots 讨论灾难性 AI 风险、实验室的行动责任，以及监管、责任归属和保险等政策工具。",
  "intro": {
   "text": "MIRI 的 Nate Soares 在 Bloomberg Odd Lots 讨论灾难性 AI 风险、实验室的行动责任，以及监管、责任归属和保险等政策工具。\n\n访谈追问“风险是否真实”与“风险叙事是否有利于营销”的区别，以及什么证据可能改变他的判断。内容呈现一位风险研究者的立场，不代表风险预测已获证实。",
   "text_en": "MIRI’s Nate Soares discusses catastrophic AI risks, laboratory responsibilities, and policy tools including regulation, liability, and insurance on Bloomberg Odd Lots.\n\nThe interview distinguishes whether risks are real from whether risk narratives benefit marketing, and asks what evidence could change his assessment. It presents a researcher’s position rather than a confirmed prediction.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=vD4TyKot82Q",
   "checked": "2026-10-15",
   "source_title": "Nate Soares on How AI Really Could Kill Us All | Odd Lots"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-3c36109201c0bb41/"
 },
 {
  "id": "source-befd7deaed7ef952",
  "status": "index",
  "format": "podcast",
  "title": "Muse Wonder: Zuckerberg and Wang's $100B AI",
  "title_zh": "Zuckerberg 与 Alexandr Wang：个人智能体、记忆与千亿美元投入",
  "series": "Cheeky Pint",
  "published": "2026-10-12",
  "added": "2026-10-14",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "mark-zuckerberg",
   "alexandr-wang"
  ],
  "topics": [
   "business",
   "agents",
   "compute"
  ],
  "one_liner": "Mark Zuckerberg 与 Alexandr Wang 接受 John Collison 采访，介绍 Meta 如何理解个人智能体、模型记忆与多模态交互，并讨论智能体购物、智能眼镜和前沿模型竞争。",
  "intro": {
   "text": "Mark Zuckerberg 与 Alexandr Wang 接受 John Collison 采访，介绍 Meta 如何理解个人智能体、模型记忆与多模态交互，并讨论智能体购物、智能眼镜和前沿模型竞争。\n\n对话也涉及在模型效果尚不确定时作出巨额基础设施投资的决策。产品能力与内部评测作为嘉宾自述呈现，不能视作本站独立验证的结果。",
   "text_en": "Mark Zuckerberg and Alexandr Wang join John Collison to discuss personal agents, model memory, and multimodal interaction, alongside agentic commerce, smart glasses, and frontier-model competition.\n\nThey also describe infrastructure commitments made before model outcomes were certain. Product capabilities and internal evaluations are the guests’ accounts, not independently verified results.",
   "basis": "publisher-description",
   "url": "https://cheekypint.substack.com/p/muse-wonder-zuckerberg-and-wangs",
   "checked": "2026-10-15",
   "source_title": "Muse Wonder: Zuckerberg and Wang's $100B AI"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-befd7deaed7ef952/"
 },
 {
  "id": "source-01a1d3625783423b",
  "status": "index",
  "format": "talk",
  "title": "Yi-Chieh Lee - When AI Shapes Us: Understanding Conversational AI’s Influence on Well-Being & Agency",
  "title_zh": "Yi-Chieh Lee：对话式 AI 如何影响福祉与人的能动性",
  "series": "UW HCDE Research Speaker Series",
  "published": "2026-10-09",
  "added": "2026-10-14",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "yi-chieh-lee"
  ],
  "topics": [
   "relationships",
   "society",
   "education"
  ],
  "one_liner": "新加坡国立大学的 Yi-Chieh Lee 在华盛顿大学 HCDE 研究讲座中介绍对话式 AI 与人类福祉、能动性的研究，涉及自信、人机协作、人格趋同与孤独感。",
  "intro": {
   "text": "新加坡国立大学的 Yi-Chieh Lee 在华盛顿大学 HCDE 研究讲座中介绍对话式 AI 与人类福祉、能动性的研究，涉及自信、人机协作、人格趋同与孤独感。\n\n讲座也讨论老年人使用 AI 陪伴的动机和潜在伤害。实验发现应结合各项研究的设计与局限理解，不能直接推广为所有用户的长期效果。",
   "text_en": "Yi-Chieh Lee of the National University of Singapore presents research on conversational AI, well-being, and agency in the UW HCDE Research Speaker Series, covering confidence, human–AI collaboration, personality convergence, and loneliness.\n\nHe also discusses older adults’ motivations for AI companionship and possible harms. Individual study findings should be read with their designs and limitations, rather than generalized to long-term effects for all users.",
   "basis": "publisher-description",
   "url": "https://www.hcde.washington.edu/research-series/2026/lee",
   "checked": "2026-10-15",
   "source_title": "Yi-Chieh Lee - When AI Shapes Us: Understanding Conversational AI’s Influence on Well-Being & Agency"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-01a1d3625783423b/"
 },
 {
  "id": "source-792f06fac4369320",
  "status": "index",
  "format": "interview",
  "title": "Interview With Microsoft Founder Bill Gates — CNN State of the Union (Jake Tapper)",
  "title_zh": "Bill Gates：AI 风险、监管与留给人的工作",
  "series": "CNN State of the Union",
  "published": "2026-10-11",
  "added": "2026-10-12",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "bill-gates"
  ],
  "topics": [
   "security",
   "governance",
   "work",
   "education"
  ],
  "one_liner": "Bill Gates 接受 Jake Tapper 采访，讨论 AI 风险、企业透明度和政府监管。他将近期网络攻击风险与更长期的失控担忧区分开，并提出行业自律之外的安全监管问题。",
  "intro": {
   "text": "Bill Gates 接受 Jake Tapper 采访，讨论 AI 风险、企业透明度和政府监管。他将近期网络攻击风险与更长期的失控担忧区分开，并提出行业自律之外的安全监管问题。\n\n对话也涉及 AI 对就业和教育的影响，以及社会是否应为人类保留某些工作。这些是嘉宾的判断与倡议，并非已经实施的政策。",
   "text_en": "Bill Gates joins Jake Tapper to discuss AI risks, industry transparency, and government oversight. He distinguishes near-term cyberattack risks from longer-term concerns about loss of control and discusses safety oversight beyond industry self-regulation.\n\nThe interview also considers employment, education, and whether society should reserve some work for people. These are the guest’s assessments and proposals, rather than policies already in force.",
   "basis": "publisher-description",
   "url": "https://transcripts.cnn.com/show/sotu/date/2026-10-11/segment/01",
   "checked": "2026-10-12",
   "source_title": "Interview With Microsoft Founder Bill Gates — CNN State of the Union (Jake Tapper)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-792f06fac4369320/"
 },
 {
  "id": "source-bc0fdca2362c5861",
  "status": "index",
  "format": "podcast",
  "title": "Why every company now needs to think and operate like a lab team | Josh Woodward (Google Labs, Gemini, AI Studio)",
  "title_zh": "Josh Woodward：每家公司都需要像实验室团队一样工作",
  "series": "Lenny's Podcast",
  "published": "2026-10-11",
  "added": "2026-10-12",
  "duration_s": 3731,
  "lang": "en",
  "speakers": [
   "josh-woodward"
  ],
  "topics": [
   "business",
   "software",
   "agents"
  ],
  "one_liner": "Google Labs、Gemini 和 AI Studio 的 Josh Woodward 与 Lenny Rachitsky 讨论 AI 产品团队如何寻找创意、开展实验，以及判断何时继续投入或停止一个项目。",
  "intro": {
   "text": "Google Labs、Gemini 和 AI Studio 的 Josh Woodward 与 Lenny Rachitsky 讨论 AI 产品团队如何寻找创意、开展实验，以及判断何时继续投入或停止一个项目。\n\n节目围绕技术能力不断变化时的产品组织方式展开，涉及团队维护的“几乎可能”清单、早期用户反馈与产品原则。企业实践和产品方向均作为嘉宾自述呈现。",
   "text_en": "Josh Woodward of Google Labs, Gemini, and AI Studio joins Lenny Rachitsky to discuss finding ideas, running experiments, and deciding when to continue or stop a product project.\n\nThe episode considers how teams operate when technical possibilities change rapidly, including an “almost possible” list, early user feedback, and product principles. Company practices and product directions are presented as the guest’s account.",
   "basis": "publisher-description",
   "url": "https://www.lennysnewsletter.com/p/why-every-company-now-needs-to-think",
   "checked": "2026-10-12",
   "source_title": "Why every company now needs to think and operate like a lab team | Josh Woodward (Google Labs, Gemini, AI Studio)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-bc0fdca2362c5861/"
 },
 {
  "id": "source-076f8b06469b97d1",
  "status": "index",
  "format": "podcast",
  "title": "Stop Saying AI Will Replace Us | Fei-Fei Li | The Futurology Podcast",
  "title_zh": "李飞飞：不要只用“替代人”来理解 AI",
  "series": "Futurology",
  "published": "2026-10-09",
  "added": "2026-10-12",
  "duration_s": 3492,
  "lang": "en",
  "speakers": [
   "fei-fei-li"
  ],
  "topics": [
   "relationships",
   "society",
   "governance",
   "embodied"
  ],
  "one_liner": "李飞飞在 Berggruen Institute 的 Futurology 对话中讨论以人为本的 AI，关注人的尊严、能动性与共同体，以及技术发展应当怎样服务人。",
  "intro": {
   "text": "李飞飞在 Berggruen Institute 的 Futurology 对话中讨论以人为本的 AI，关注人的尊严、能动性与共同体，以及技术发展应当怎样服务人。\n\n访谈也涉及空间智能、机器意识的证据边界和科学导向的治理。节目于 2025 年 2 月录制，2026 年 10 月 9 日上传；应作为当时的观点阅读，而非对本周事件的回应。",
   "text_en": "Fei-Fei Li discusses human-centered AI on the Berggruen Institute’s Futurology podcast, considering dignity, agency, community, and how technology should serve people.\n\nThe conversation also addresses spatial intelligence, the evidentiary limits of machine consciousness, and science-informed governance. It was recorded in February 2025 and uploaded on October 9, 2026, so it should be read in its original historical context.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=5Q4804-uwtY",
   "checked": "2026-10-12",
   "source_title": "Stop Saying AI Will Replace Us | Fei-Fei Li | The Futurology Podcast"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-076f8b06469b97d1/"
 },
 {
  "id": "source-19286b3225ed71bb",
  "status": "index",
  "format": "podcast",
  "title": "How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning",
  "title_zh": "Eric Bigelow：智能体如何决策，思维链监控可靠吗？",
  "series": "Cognitive Revolution",
  "published": "2026-10-10",
  "added": "2026-10-11",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "eric-bigelow"
  ],
  "topics": [
   "interpretability",
   "agents",
   "alignment"
  ],
  "one_liner": "Goodfire 的 Eric Bigelow 与 Nathan Labenz 讨论可解释性研究如何帮助理解模型和智能体的行为，涉及关键 token、行为相变与上下文学习。",
  "intro": {
   "text": "Goodfire 的 Eric Bigelow 与 Nathan Labenz 讨论可解释性研究如何帮助理解模型和智能体的行为，涉及关键 token、行为相变与上下文学习。\n\n本期也讨论思维链监控的可靠性：模型表现出来的推理过程，在多大程度上能够解释其实际决策。有关实验结果与其他模型的判断应保留研究条件和嘉宾自述的边界。",
   "text_en": "Goodfire’s Eric Bigelow joins Nathan Labenz to discuss how interpretability research can help explain model and agent behavior, including critical tokens, phase shifts, and in-context learning.\n\nThe conversation also examines the reliability of chain-of-thought monitoring and how closely visible reasoning reflects actual decisions. Experimental conditions and the distinction between guest claims and independent confirmation remain important.",
   "basis": "publisher-description",
   "url": "https://www.cognitiverevolution.ai/how-agents-decide-goodfire-s-eric-bigelow-on-critical-tokens-phase-shifts-in-context-learning/",
   "checked": "2026-10-12",
   "source_title": "How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-19286b3225ed71bb/"
 },
 {
  "id": "zhangxiaojun-liu-ming-yu-20260812",
  "status": "index",
  "format": "interview",
  "title": "150. 对英伟达研究副总裁刘洺堉的4小时访谈：功夫、Cosmos 3、开源世界模型、黄仁勋、你不需要击败所有对手",
  "title_zh": "刘洺堉 × 张小珺：Cosmos 3、开源世界模型与物理 AI 研发哲学",
  "series": "张小珺访谈录",
  "published": "2026-08-12",
  "added": "2026-10-11",
  "duration_s": 12973,
  "lang": "zh",
  "speakers": [
   "liu-ming-yu"
  ],
  "topics": [
   "embodied",
   "compute",
   "paradigms"
  ],
  "one_liner": "张小珺访谈录：对话英伟达研究副总裁刘洺堉，拆解 Cosmos 3 开源世界模型与物理 AI 研发。",
  "intro": {
   "text": "刘洺堉讨论英伟达 Cosmos 3 开源世界模型与具身智能物理仿真，分享与黄仁勋共事的研发哲学。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=Cj_kb9nlAlE",
   "checked": "2026-10-11",
   "source_title": "150. 对英伟达研究副总裁刘洺堉的4小时访谈：功夫、Cosmos 3、开源世界模型、黄仁勋、你不需要击败所有对手"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-liu-ming-yu-20260812/"
 },
 {
  "id": "zhangxiaojun-you-kaichao-20260728",
  "status": "index",
  "format": "interview",
  "title": "148. 对游凯超3小时访谈：开源Infra、和模型Co-design 、“如果vLLM失败，我们会后悔一辈子”",
  "title_zh": "游凯超 × 张小珺：开源推理引擎 vLLM、软硬件协同与大模型 Infra 演进",
  "series": "张小珺访谈录",
  "published": "2026-07-28",
  "added": "2026-10-11",
  "duration_s": 7597,
  "lang": "zh",
  "speakers": [
   "you-kaichao"
  ],
  "topics": [
   "compute",
   "software",
   "business"
  ],
  "one_liner": "张小珺访谈录：对话 vLLM 核心贡献者游凯超，探讨开源推理加速与软硬件协同设计。",
  "intro": {
   "text": "游凯超讨论大模型开源推理引擎 vLLM 的演进、社区生态建设以及模型算法与底层 Infra 的协同设计。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=ffdR5fZTC5E",
   "checked": "2026-10-11",
   "source_title": "148. 对游凯超3小时访谈：开源Infra、和模型Co-design 、“如果vLLM失败，我们会后悔一辈子”"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-you-kaichao-20260728/"
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 {
  "id": "zhangxiaojun-shen-yujun-20260722",
  "status": "index",
  "format": "interview",
  "title": "147. 和蚂蚁灵波沈宇军聊：机器人原生基础模型、大脑和本体的关系、预训练与数据scale up、老师汤晓鸥",
  "title_zh": "沈宇军 × 张小珺：机器人原生基座模型、大脑与本体关系及数据规模化",
  "series": "张小珺访谈录",
  "published": "2026-07-22",
  "added": "2026-10-11",
  "duration_s": 6775,
  "lang": "zh",
  "speakers": [
   "shen-yujun"
  ],
  "topics": [
   "embodied",
   "paradigms",
   "science"
  ],
  "one_liner": "张小珺访谈录：对话蚂蚁灵波沈宇军，讨论机器人原生多模态基座模型与具身智能数据扩展。",
  "intro": {
   "text": "沈宇军讨论机器人原生基础模型的构建路径，探讨智能大脑与机械本体解耦、预训练数据规模化法则。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=fww9LN9baKQ",
   "checked": "2026-10-11",
   "source_title": "147. 和蚂蚁灵波沈宇军聊：机器人原生基础模型、大脑和本体的关系、预训练与数据scale up、老师汤晓鸥"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-shen-yujun-20260722/"
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 {
  "id": "zhangxiaojun-kay-ke-20260716",
  "status": "index",
  "format": "interview",
  "title": "146. 对Physical Intelligence柯丽一鸣4小时访谈：Pi的开源模型研究，机器人的江湖、族谱与主角",
  "title_zh": "柯丽一鸣 × 张小珺：Physical Intelligence 开源机器人模型与具身智能流派演化",
  "series": "张小珺访谈录",
  "published": "2026-07-16",
  "added": "2026-10-11",
  "duration_s": 13685,
  "lang": "zh",
  "speakers": [
   "kay-ke"
  ],
  "topics": [
   "embodied",
   "paradigms",
   "agents"
  ],
  "one_liner": "张小珺访谈录：对话 Physical Intelligence 柯丽一鸣，详述 Pi 开源机器人模型与具身江湖。",
  "intro": {
   "text": "柯丽一鸣分享 Physical Intelligence (Pi) 的通用机器人基座模型研究，梳理具身智能学术流派与技术族谱。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=ghKTtfM-R6g",
   "checked": "2026-10-11",
   "source_title": "146. 对Physical Intelligence柯丽一鸣4小时访谈：Pi的开源模型研究，机器人的江湖、族谱与主角"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-kay-ke-20260716/"
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 {
  "id": "zhangxiaojun-shunyu-yao-20260511",
  "status": "index",
  "format": "interview",
  "title": "140. 对姚顺宇的4小时访谈：请允许我小疯一下！在Anthropic和Gemini训模型、技术预测、英雄主义已过去",
  "title_zh": "姚顺宇 × 张小珺：在 Anthropic 与 Gemini 训模型、技术预测与前沿研发演进",
  "series": "张小珺访谈录",
  "published": "2026-05-11",
  "added": "2026-10-11",
  "duration_s": 13836,
  "lang": "zh",
  "speakers": [
   "shunyu-yao"
  ],
  "topics": [
   "agents",
   "paradigms",
   "science"
  ],
  "one_liner": "张小珺访谈录：对话 ReAct 提出者姚顺宇，复盘顶级前沿实验室的大模型训练与智能体演化。",
  "intro": {
   "text": "姚顺宇结合在 Anthropic 与 Google Gemini 的前沿研发经验，讨论大模型训练工程、智能体能力预测与研究分工。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=Gk_KUg3qED0",
   "checked": "2026-10-11",
   "source_title": "140. 对姚顺宇的4小时访谈：请允许我小疯一下！在Anthropic和Gemini训模型、技术预测、英雄主义已过去"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-shunyu-yao-20260511/"
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 {
  "id": "zhangxiaojun-luo-fuli-20260424",
  "status": "index",
  "format": "interview",
  "title": "138. 对罗福莉3.5小时访谈：AI范式已然巨变！OpenClaw、Agent范式很吃后训练、卡的分配、组织平权",
  "title_zh": "罗福莉 × 张小珺：后训练时代的智能体范式、算力卡分配与组织协同",
  "series": "张小珺访谈录",
  "published": "2026-04-24",
  "added": "2026-10-11",
  "duration_s": 12997,
  "lang": "zh",
  "speakers": [
   "luo-fuli"
  ],
  "topics": [
   "agents",
   "paradigms",
   "compute"
  ],
  "one_liner": "张小珺访谈录：对话罗福莉，解析从预训练到后训练的范式迁移与智能体工程体系。",
  "intro": {
   "text": "罗福莉讨论大模型技术从预训练向后训练的范式迁移，关注强化学习、Agent 架构落地与研发组织协同。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=vG1RBqn1sG4",
   "checked": "2026-10-11",
   "source_title": "138. 对罗福莉3.5小时访谈：AI范式已然巨变！OpenClaw、Agent范式很吃后训练、卡的分配、组织平权"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-luo-fuli-20260424/"
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 {
  "id": "zhangxiaojun-carina-hong-20260420",
  "status": "index",
  "format": "interview",
  "title": "137. 对洪乐潼的4小时访谈：AI for Math、把数学变成Lean、数学天书中的证明、直觉、被创造与被发现的",
  "title_zh": "洪乐潼 × 张小珺：形式化数学验证语言 Lean、数学猜想证明与机器推理",
  "series": "张小珺访谈录",
  "published": "2026-04-20",
  "added": "2026-10-11",
  "duration_s": 15858,
  "lang": "zh",
  "speakers": [
   "carina-hong"
  ],
  "topics": [
   "science",
   "paradigms",
   "software"
  ],
  "one_liner": "张小珺访谈录：对话青年数学学者洪乐潼，探讨 Lean 形式化证明、AI for Math 与机器直觉。",
  "intro": {
   "text": "洪乐潼讨论 AI 与数学研究的结合，探索通过 Lean 形式化语言让大模型参与复杂数学定理证明与符号推理。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=bv8ghyTFF9w",
   "checked": "2026-10-11",
   "source_title": "137. 对洪乐潼的4小时访谈：AI for Math、把数学变成Lean、数学天书中的证明、直觉、被创造与被发现的"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-carina-hong-20260420/"
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 {
  "id": "zhangxiaojun-xie-chen-20260330",
  "status": "index",
  "format": "interview",
  "title": "134. 【数据的综述】和谢晨聊，新时代的石油、历史、版图、数据金字塔、定价与Recipe",
  "title_zh": "谢晨 × 张小珺：AI 与机器人数据金字塔、合成数据机制与行业版图",
  "series": "张小珺访谈录",
  "published": "2026-03-30",
  "added": "2026-10-11",
  "duration_s": 9503,
  "lang": "zh",
  "speakers": [
   "xie-chen"
  ],
  "topics": [
   "compute",
   "embodied",
   "business"
  ],
  "one_liner": "张小珺访谈录：数据综述篇，对话谢晨探讨大模型与具身智能的数据架构、合成数据与定价。",
  "intro": {
   "text": "谢晨系统梳理 AI 发展中的核心燃料——数据资产，深入分析真实采集、仿真合成与数据金字塔的配方。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=owjTOT14bG0",
   "checked": "2026-10-11",
   "source_title": "134. 【数据的综述】和谢晨聊，新时代的石油、历史、版图、数据金字塔、定价与Recipe"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-xie-chen-20260330/"
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 {
  "id": "zhangxiaojun-xie-saining-20260316",
  "status": "index",
  "format": "interview",
  "title": "133. 对谢赛宁的7小时马拉松访谈：世界模型、逃出硅谷、AMI Labs、两次拒绝Ilya、杨立昆、李飞飞和42",
  "title_zh": "谢赛宁 × 张小珺：DiT 诞生始末、世界模型、AMI Labs 与独立学术科研抉择",
  "series": "张小珺访谈录",
  "published": "2026-03-16",
  "added": "2026-10-11",
  "duration_s": 24330,
  "lang": "zh",
  "speakers": [
   "xie-saining"
  ],
  "topics": [
   "paradigms",
   "science",
   "embodied"
  ],
  "one_liner": "张小珺访谈录：7小时深度访谈 DiT 共同发明人谢赛宁，拆解视频生成、世界模型与科研哲学。",
  "intro": {
   "text": "谢赛宁详述 DiT 架构的诞生脉络、多模态世界模型探索，并分享创立独立研究院 AMI Labs 的科研理念。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=iiBY0fqpThI",
   "checked": "2026-10-11",
   "source_title": "133. 对谢赛宁的7小时马拉松访谈：世界模型、逃出硅谷、AMI Labs、两次拒绝Ilya、杨立昆、李飞飞和42"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-xie-saining-20260316/"
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 {
  "id": "zhangxiaojun-gao-jiyang-20260213",
  "status": "index",
  "format": "interview",
  "title": "132. 对星海图创始人高继扬的3小时访谈：鲶鱼、曾国藩、Waymo与Momenta的两面、一只狼与许华哲的离开",
  "title_zh": "高继扬 × 张小珺：具身智能创业、自动驾驶工程经验迁移与机器人软硬件协同",
  "series": "张小珺访谈录",
  "published": "2026-02-13",
  "added": "2026-10-11",
  "duration_s": 11093,
  "lang": "zh",
  "speakers": [
   "gao-jiyang"
  ],
  "topics": [
   "embodied",
   "business",
   "software"
  ],
  "one_liner": "张小珺访谈录：对话星海图创始人高继扬，复盘自动驾驶技术向具身机器人的迁移与创业选择。",
  "intro": {
   "text": "高继扬讨论具身机器人创业的技术落地挑战，分析自动驾驶行业经验在具身软硬件协同中的继承与颠覆。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=n4_c_HsodPg",
   "checked": "2026-10-11",
   "source_title": "132. 对星海图创始人高继扬的3小时访谈：鲶鱼、曾国藩、Waymo与Momenta的两面、一只狼与许华哲的离开"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-gao-jiyang-20260213/"
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 {
  "id": "zhangxiaojun-yin-qi-20260126",
  "status": "index",
  "format": "interview",
  "title": "131. 印奇出任阶跃星辰董事长的访谈：聪明人的诱惑、取舍、超长链路残酷淘汰赛、阶跃函数和超多元方程",
  "title_zh": "印奇 × 张小珺：大模型全链路生态、长周期残酷淘汰赛与战略取舍",
  "series": "张小珺访谈录",
  "published": "2026-01-26",
  "added": "2026-10-11",
  "duration_s": 7095,
  "lang": "zh",
  "speakers": [
   "yin-qi"
  ],
  "topics": [
   "business",
   "paradigms",
   "agi"
  ],
  "one_liner": "张小珺访谈录：对话旷视创始人兼阶跃星辰董事长印奇，探讨大模型商业生态与淘汰赛策略。",
  "intro": {
   "text": "印奇分享出任阶跃星辰董事长的战略考量，剖析多模态大模型从前沿探索到长链条工程淘汰赛中的商业布局。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=dm0Zsm9BiD8",
   "checked": "2026-10-11",
   "source_title": "131. 印奇出任阶跃星辰董事长的访谈：聪明人的诱惑、取舍、超长链路残酷淘汰赛、阶跃函数和超多元方程"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-yin-qi-20260126/"
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 {
  "id": "zhangxiaojun-zhang-yueguang-20260122",
  "status": "index",
  "format": "interview",
  "title": "130. 张月光创业两年首次访谈：妙鸭不是AI Native产品、流程到上下文设计、One Way Door和乙女游戏",
  "title_zh": "张月光 × 张小珺：AI 原生产品设计、从业务流程走向动态上下文与创业抉择",
  "series": "张小珺访谈录",
  "published": "2026-01-22",
  "added": "2026-10-11",
  "duration_s": 11656,
  "lang": "zh",
  "speakers": [
   "zhang-yueguang"
  ],
  "topics": [
   "business",
   "software",
   "agents"
  ],
  "one_liner": "张小珺访谈录：对话妙鸭相机张月光，深入剖析 AI 原生应用的产品设计与交互哲学。",
  "intro": {
   "text": "张月光反思现象级产品妙鸭相机的研发得失，探讨从传统业务流程走向动态上下文设计（Context Engineering）的产品方法论。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=ruVJ_5dObxs",
   "checked": "2026-10-11",
   "source_title": "130. 张月光创业两年首次访谈：妙鸭不是AI Native产品、流程到上下文设计、One Way Door和乙女游戏"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-zhang-yueguang-20260122/"
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 {
  "id": "zhangxiaojun-zhang-peng-20260108",
  "status": "index",
  "format": "interview",
  "title": "129. 全球大模型第一股的上市访谈，和智谱CEO张鹏聊：敢问路在何方？",
  "title_zh": "张鹏 × 张小珺：智谱大模型技术路线演进、全栈商业化与资本市场选择",
  "series": "张小珺访谈录",
  "published": "2026-01-08",
  "added": "2026-10-11",
  "duration_s": 8800,
  "lang": "zh",
  "speakers": [
   "zhang-peng"
  ],
  "topics": [
   "business",
   "paradigms",
   "software"
  ],
  "one_liner": "张小珺访谈录：对话智谱 AI 首席执行官张鹏，探讨中国大模型技术自主性、开源与商业闭环。",
  "intro": {
   "text": "张鹏讨论智谱 AI 发展历程中的核心战略抉择，回顾基座模型迭代、开源生态贡献与产业落地商业化进程。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=9zSMTUUEfmU",
   "checked": "2026-10-11",
   "source_title": "129. 全球大模型第一股的上市访谈，和智谱CEO张鹏聊：敢问路在何方？"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-zhang-peng-20260108/"
 },
 {
  "id": "zhangxiaojun-ji-yichao-20251230",
  "status": "index",
  "format": "interview",
  "title": "128. Manus决定出售前最后的访谈：啊，这奇幻的2025年漂流啊…",
  "title_zh": "Manus 团队 × 张小珺：通用 Agent 产品的火爆、工程极限挑战与初创企业博弈",
  "series": "张小珺访谈录",
  "published": "2025-12-30",
  "added": "2026-10-11",
  "duration_s": 12678,
  "lang": "zh",
  "speakers": [
   "ji-yichao"
  ],
  "topics": [
   "agents",
   "software",
   "business"
  ],
  "one_liner": "张小珺访谈录：对话 Manus 核心团队季逸超，深度复盘通用 Agent 产品的诞生与产业竞争。",
  "intro": {
   "text": "季逸超等 Manus 创始团队复盘通用自主 Agent 产品的爆火与工程落地极限，探讨中小初创团队面对巨头竞合的生存逻辑。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=MW-ezf2RhVg",
   "checked": "2026-10-11",
   "source_title": "128. Manus决定出售前最后的访谈：啊，这奇幻的2025年漂流啊…"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-ji-yichao-20251230/"
 },
 {
  "id": "zhangxiaojun-jie-tan-20251128",
  "status": "index",
  "format": "interview",
  "title": "121. 对DeepMind谭捷的访谈：机器人、跨本体、世界模型、Gemini Robotics 1.5和Google",
  "title_zh": "谭捷 × 张小珺：Gemini Robotics 1.5、跨本体机器人控制与世界模型研发",
  "series": "张小珺访谈录",
  "published": "2025-11-28",
  "added": "2026-10-11",
  "duration_s": 7576,
  "lang": "zh",
  "speakers": [
   "jie-tan"
  ],
  "topics": [
   "embodied",
   "paradigms",
   "science"
  ],
  "one_liner": "张小珺访谈录：对话 Google DeepMind 资深研究员谭捷，解析多模态大模型走向物理机器人的路径。",
  "intro": {
   "text": "谭捷分享 Google DeepMind 在机器人领域的研究突破，讨论 Gemini Robotics 1.5 与跨形态机械臂/四足本体控制。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=2o281Zy5aZE",
   "checked": "2026-10-11",
   "source_title": "121. 对DeepMind谭捷的访谈：机器人、跨本体、世界模型、Gemini Robotics 1.5和Google"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-jie-tan-20251128/"
 },
 {
  "id": "zhangxiaojun-liu-xianming-20251118",
  "status": "index",
  "format": "interview",
  "title": "120. 小鹏新上任的刘先明首次访谈：Language是毒药、拆掉L、简单即美、换帅、小鹏的AI转型",
  "title_zh": "刘先明 × 张小珺：端到端自动驾驶、“语言是毒药”与端侧世界模型",
  "series": "张小珺访谈录",
  "published": "2025-11-18",
  "added": "2026-10-11",
  "duration_s": 6526,
  "lang": "zh",
  "speakers": [
   "liu-xianming"
  ],
  "topics": [
   "embodied",
   "paradigms",
   "software"
  ],
  "one_liner": "张小珺访谈录：对话小鹏汽车智能驾驶技术负责人刘先明，探讨端到端物理智能与语言符号局限。",
  "intro": {
   "text": "刘先明讨论端到端自动驾驶模型的核心机制，反思语言符号在物理运动控制中的局限，分享模型轻量化与工程落地。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=40qPt8R2uys",
   "checked": "2026-10-11",
   "source_title": "120. 小鹏新上任的刘先明首次访谈：Language是毒药、拆掉L、简单即美、换帅、小鹏的AI转型"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-liu-xianming-20251118/"
 },
 {
  "id": "zhangxiaojun-li-xiang-20251030",
  "status": "index",
  "format": "interview",
  "title": "118. 对李想的第二次3小时访谈：CEO大模型、MoE、梁文锋、VLA、能量、记忆、对抗人性、亲密关系、人类的智慧",
  "title_zh": "李想 × 张小珺：CEO 大模型、端到端自动驾驶快慢系统与科技企业治理",
  "series": "张小珺访谈录",
  "published": "2025-10-30",
  "added": "2026-10-11",
  "duration_s": 9983,
  "lang": "zh",
  "speakers": [
   "li-xiang"
  ],
  "topics": [
   "business",
   "embodied",
   "paradigms"
  ],
  "one_liner": "张小珺访谈录：对话理想汽车李想，结合认知科学剖析端到端自动驾驶双系统与科技组织模型。",
  "intro": {
   "text": "李想探讨端到端自动驾驶系统的快慢双思考结构，并将其延伸至组织决策、CEO 大模型训练与科技企业长期进化。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=RxXVq7-sJzM",
   "checked": "2026-10-11",
   "source_title": "118. 对李想的第二次3小时访谈：CEO大模型、MoE、梁文锋、VLA、能量、记忆、对抗人性、亲密关系、人类的智慧"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-li-xiang-20251030/"
 },
 {
  "id": "source-e8f2e34b846d59f2",
  "status": "index",
  "format": "podcast",
  "title": "Andrej Karpathy — AGI is still a decade away",
  "title_zh": "Andrej Karpathy：AGI 仍需十年，智能体还缺什么？",
  "series": "Dwarkesh Podcast",
  "published": "2025-10-17",
  "added": "2026-10-11",
  "duration_s": 8719,
  "lang": "en",
  "speakers": [
   "andrej-karpathy"
  ],
  "topics": [
   "agi",
   "agents",
   "self-improvement",
   "education"
  ],
  "one_liner": "Andrej Karpathy 与 Dwarkesh Patel 讨论为何把智能体的发展看作十年尺度的问题，涉及持续学习、多模态、计算机操作和模型的认知缺口。",
  "intro": {
   "text": "Andrej Karpathy 与 Dwarkesh Patel 讨论为何把智能体的发展看作十年尺度的问题，涉及持续学习、多模态、计算机操作和模型的认知缺口。\n\n节目还延伸到强化学习、人类学习方式、自动驾驶和教育。这是一场 2025 年的历史访谈，时间预测应保留当时的背景，而不作为当前进度的断言。",
   "text_en": "Andrej Karpathy and Dwarkesh Patel discuss why agent development may unfold over a decade, including continual learning, multimodality, computer use, and cognitive gaps in models.\n\nThe episode also explores reinforcement learning, human learning, autonomous driving, and education. This is a historical interview from 2025; its forecasts retain their original context and are not assertions about current progress.",
   "basis": "publisher-description",
   "url": "https://www.dwarkesh.com/p/andrej-karpathy",
   "checked": "2026-10-12",
   "source_title": "Andrej Karpathy — AGI is still a decade away"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-e8f2e34b846d59f2/"
 },
 {
  "id": "zhangxiaojun-yang-zhilin-20250827",
  "status": "index",
  "format": "interview",
  "title": "113. 和杨植麟时隔1年的对话：K2、Agentic LLM、缸中之脑和“站在无限的开端”",
  "title_zh": "杨植麟 × 张小珺：长文本走向 Agentic LLM、系统2强化学习与通用智能探索",
  "series": "张小珺访谈录",
  "published": "2025-08-27",
  "added": "2026-10-11",
  "duration_s": 6074,
  "lang": "zh",
  "speakers": [
   "yang-zhilin"
  ],
  "topics": [
   "agi",
   "agents",
   "paradigms"
  ],
  "one_liner": "张小珺访谈录：对话月之暗面杨植麟，复盘长上下文到 Agentic LLM 的技术思考与 AGI 终局。",
  "intro": {
   "text": "杨植麟讨论大模型从长文本理解向 Agentic LLM 与深度推理演进的路径，分享通用人工智能（AGI）发展阶段与技术信念。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=ouG6jrkECrc",
   "checked": "2026-10-11",
   "source_title": "113. 和杨植麟时隔1年的对话：K2、Agentic LLM、缸中之脑和“站在无限的开端”"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-yang-zhilin-20250827/"
 },
 {
  "id": "zhangxiaojun-yu-kai-20250707",
  "status": "index",
  "format": "interview",
  "title": "108. 余凯口述30年史：世界不止刀光剑影，是一部人来人往的江湖故事",
  "title_zh": "余凯 × 张小珺：中国人工智能与车载计算芯片三十年开拓史",
  "series": "张小珺访谈录",
  "published": "2025-07-07",
  "added": "2026-10-11",
  "duration_s": 10628,
  "lang": "zh",
  "speakers": [
   "yu-kai"
  ],
  "topics": [
   "compute",
   "business",
   "paradigms"
  ],
  "one_liner": "张小珺访谈录：深度对话地平线余凯，口述深度学习、专用计算芯片与中国智能驾驶产业变迁。",
  "intro": {
   "text": "余凯回顾中国人工智能三十年的演进脉络，讲述从学术界到产业界创立地平线、软硬件协同定义芯片的历程。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=853ETjAecz4",
   "checked": "2026-10-11",
   "source_title": "108. 余凯口述30年史：世界不止刀光剑影，是一部人来人往的江湖故事"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-yu-kai-20250707/"
 },
 {
  "id": "zhangxiaojun-wang-he-20250623",
  "status": "index",
  "format": "interview",
  "title": "106. 和王鹤聊，具身智能的学术边缘史和资本轰炸后的人为乱象",
  "title_zh": "王鹤 × 张小珺：具身智能学术演进历程、泛化操作与仿真到物理世界迁移",
  "series": "张小珺访谈录",
  "published": "2025-06-23",
  "added": "2026-10-11",
  "duration_s": 9533,
  "lang": "zh",
  "speakers": [
   "wang-he"
  ],
  "topics": [
   "embodied",
   "science",
   "business"
  ],
  "one_liner": "张小珺访谈录：对话北大助理教授王鹤，梳理具身智能学术史、灵巧操作泛化与商业化冷思考。",
  "intro": {
   "text": "王鹤梳理具身智能从图形学边缘发展为核心显学的学术脉络，分析真实物理泛化操作与仿真模拟的边界。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=9DnjiuN6Yg0",
   "checked": "2026-10-11",
   "source_title": "106. 和王鹤聊，具身智能的学术边缘史和资本轰炸后的人为乱象"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-wang-he-20250623/"
 },
 {
  "id": "source-a5b7da224ea6d48d",
  "status": "index",
  "format": "podcast",
  "title": "Demis Hassabis — Scaling, superhuman AIs, AlphaZero atop LLMs, AlphaFold",
  "title_zh": "Demis Hassabis：大模型、世界模型与 AlphaZero 式规划",
  "series": "Dwarkesh Podcast",
  "published": "2024-02-28",
  "added": "2026-10-11",
  "duration_s": 3694,
  "lang": "en",
  "speakers": [
   "demis-hassabis"
  ],
  "topics": [
   "agi",
   "paradigms",
   "science"
  ],
  "one_liner": "Demis Hassabis 与 Dwarkesh Patel 讨论扩大模型规模、超人能力，以及如何把大语言模型与 AlphaZero 式搜索和规划结合起来。",
  "intro": {
   "text": "Demis Hassabis 与 Dwarkesh Patel 讨论扩大模型规模、超人能力，以及如何把大语言模型与 AlphaZero 式搜索和规划结合起来。\n\n对话涉及 AlphaFold、世界模型和通向更通用智能的研究路径。节目发布于 2024 年，保留当时的技术与组织背景，适合与后续访谈对照阅读。",
   "text_en": "Demis Hassabis and Dwarkesh Patel discuss scaling, superhuman capabilities, and combining large language models with AlphaZero-style search and planning.\n\nThe conversation covers AlphaFold, world models, and research paths toward more general intelligence. Published in 2024, it retains the technical and organizational context of that time and can be compared with later interviews.",
   "basis": "publisher-description",
   "url": "https://www.dwarkesh.com/p/demis-hassabis",
   "checked": "2026-10-12",
   "source_title": "Demis Hassabis — Scaling, superhuman AIs, AlphaZero atop LLMs, AlphaFold"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-a5b7da224ea6d48d/"
 },
 {
  "id": "source-caac24f2c1c92dc5",
  "status": "index",
  "format": "podcast",
  "title": "Ilya Sutskever (OpenAI Chief Scientist) — Why next-token prediction could surpass human intelligence",
  "title_zh": "Ilya Sutskever：下一词预测、AGI 与模型可靠性",
  "series": "Dwarkesh Podcast",
  "published": "2023-03-27",
  "added": "2026-10-11",
  "duration_s": 2861,
  "lang": "en",
  "speakers": [
   "ilya-sutskever"
  ],
  "topics": [
   "agi",
   "paradigms",
   "alignment"
  ],
  "one_liner": "Ilya Sutskever 与 Dwarkesh Patel 讨论下一词预测为何可能产生复杂能力，以及模型智能、可靠性和对齐之间的关系。",
  "intro": {
   "text": "Ilya Sutskever 与 Dwarkesh Patel 讨论下一词预测为何可能产生复杂能力，以及模型智能、可靠性和对齐之间的关系。\n\n这场访谈发表于 2023 年 3 月，当时 Sutskever 的身份是 OpenAI 首席科学家。作为早期大模型讨论的历史材料，应保留其时间背景，并与后来的模型发展对照。",
   "text_en": "Ilya Sutskever and Dwarkesh Patel discuss how next-token prediction could produce complex capabilities and how intelligence, reliability, and alignment relate to one another.\n\nThe interview was published in March 2023, when Sutskever was OpenAI’s chief scientist. It provides historical context for early language-model debates and should be compared with subsequent developments.",
   "basis": "publisher-description",
   "url": "https://www.dwarkesh.com/p/ilya-sutskever",
   "checked": "2026-10-12",
   "source_title": "Ilya Sutskever (OpenAI Chief Scientist) — Why next-token prediction could surpass human intelligence"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-caac24f2c1c92dc5/"
 },
 {
  "id": "source-23976cb2c5a96ae7",
  "status": "distilled",
  "format": "podcast",
  "title": "Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin",
  "title_zh": "Misha Laskin：开放权重模型 Beam 与后训练算力范式转移",
  "series": "No Priors",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": 4184,
  "lang": "en",
  "speakers": [
   "misha-laskin"
  ],
  "topics": [
   "compute",
   "paradigms",
   "self-improvement",
   "business",
   "science"
  ],
  "one_liner": "ReflectionAI 联合创始人兼 CEO Misha Laskin 披露 500B 开放权重推理模型 Beam 的工程细节：强化学习训练所耗算力首度超越预训练，且模型自我迭代已带来每年 30 倍的算力效能提升。",
  "intro": {
   "text": "本期发布标题为《Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=up4sG9RM20M",
   "checked": "2026-10-16",
   "source_title": "Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-23976cb2c5a96ae7/"
 },
 {
  "id": "source-41e2110c2ba788c4",
  "status": "distilled",
  "format": "interview",
  "title": "Former Intel CEO: Why This is the Best Time to Build Hardware",
  "title_zh": "Pat Gelsinger：AI 硬件创新的机会与物理约束",
  "series": "a16z",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": 3194,
  "lang": "en",
  "speakers": [
   "pat-gelsinger"
  ],
  "topics": [
   "compute",
   "business",
   "paradigms"
  ],
  "one_liner": "Intel 前 CEO Pat Gelsinger 剖析半导体创新的物理约束：AI 虽能将芯片逻辑设计压缩至 3 个月，但受制于 9 个月的制造与封装周期，「不再是单颗芯片而是整个机架」，制造延迟成为算法迭代的最大瓶颈。",
  "intro": {
   "text": "Intel 前 CEO、Playground Global 普通合伙人 Pat Gelsinger 与 Raghu Raghuram、Guido Appenzeller 讨论半导体创新。节目介绍把 AI 辅助芯片设计与制造周期、内存带宽、先进封装和供电约束联系起来。\n\n讨论还涉及专用 AI 芯片的整合、新型存储、光互连，以及面向智能体的基础设施虚拟化。本次核对的是原发布方简介与人物署名，完整节目尚待核读，不把章节标题作为受访者原话。",
   "text_en": "Former Intel CEO and Playground Global general partner Pat Gelsinger joins Raghu Raghuram and Guido Appenzeller to discuss semiconductor innovation. The publisher connects AI-assisted chip design with manufacturing timelines, memory bandwidth, advanced packaging and power constraints.\n\nOther topics include consolidation among specialized AI chips, new memory technologies, optical networking, and virtualization for agent infrastructure. This entry verifies publisher metadata and speaker attribution; the full conversation has not yet been reviewed.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=1Q_7yU7FZ1k",
   "checked": "2026-10-10",
   "source_title": "Former Intel CEO: Why This is the Best Time to Build Hardware",
   "description_sha256": "1af4cf3ec69904cf4486dd4081b30487e51376f338b8915099b41b4e2e2dd421"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-41e2110c2ba788c4/"
 },
 {
  "id": "source-5e7896a2da88e81e",
  "status": "distilled",
  "format": "talk",
  "title": "Stop Prompting — Greg Pstrucha, Sentry",
  "title_zh": "别反复提示：把智能体规则变成可执行检查",
  "series": "AI Engineer",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": 955,
  "lang": "en",
  "speakers": [
   "greg-pstrucha"
  ],
  "topics": [
   "software",
   "agents"
  ],
  "one_liner": "AI Engineer：Greg Pstrucha 详解如何告别反复提示，将智能体工程规则转化为确定性 Lint 与仓库策略。",
  "intro": {
   "text": "Greg Pstrucha 以 Sentry 的调试智能体 Seer 为背景，讨论反复纠正编程智能体为何难以形成稳定行为。按发布方介绍，演讲主张把重复规则写入测试、类型约束和 lint 检查。\n\n内容还涉及 API 与 OpenAPI 的一致性、技能文档检查，以及无法形式化的判断如何由书面规则和审核循环支持；同时提醒指标可能被优化行为钻空子。",
   "text_en": "Greg Pstrucha draws on Sentry’s debugging agent Seer to discuss why repeated corrections do not reliably stabilize coding-agent behaviour. The publisher describes codifying recurring rules as tests, type constraints and lint checks.\n\nThe talk also covers API/OpenAPI consistency, checks for skill documentation, written policies and review loops for qualitative judgments, and the risk of gaming metrics.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=E3KbFLAGD6A",
   "checked": "2026-10-10",
   "source_title": "Stop Prompting — Greg Pstrucha, Sentry",
   "description_sha256": "d405db5e3f426c179253e466c7e357d8eaefe2ba117508daedc8c9609d0eaf8c"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-5e7896a2da88e81e/"
 },
 {
  "id": "source-649d40b14a294ff4",
  "status": "distilled",
  "format": "talk",
  "title": "Generation Is Cheap, Review Is Expensive: How to Stop Shipping AI Slop — Gabriel Martinez, G2i",
  "title_zh": "生成便宜，审核昂贵：如何避免 AI 代码垃圾",
  "series": "AI Engineer",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": 1037,
  "lang": "en",
  "speakers": [
   "gabriel-martinez"
  ],
  "topics": [
   "software",
   "work"
  ],
  "one_liner": "AI Engineer：Gabriel Martinez 剖析 AI 时代代码生成的真伪生产力，警示生成廉价而评估昂贵所带来的工程债务。",
  "intro": {
   "text": "Gabriel Martinez 讨论 AI 生成速度超过团队判断和审核能力时的质量问题。发布方介绍涉及大型 PR、文档造成的审核负担、原型给人造成的完成错觉，以及明确责任的必要性。\n\n演讲介绍的做法包括约定、图示、小规模可审查改动和清晰的所有权。",
   "text_en": "Gabriel Martinez discusses quality problems when AI generation outpaces a team’s judgment and review capacity. The publisher highlights large PRs, document-review burdens, misleadingly complete prototypes and accountability.\n\nThe proposed practices include conventions, diagrams, small reviewable changes and clear ownership.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=6qkzlT962es",
   "checked": "2026-10-10",
   "source_title": "Generation Is Cheap, Review Is Expensive: How to Stop Shipping AI Slop — Gabriel Martinez, G2i",
   "description_sha256": "b4bb8ca30beed2f5fd28fa4f078c5cea182f1fcabef5eee27cfafe2b3331e05c"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-649d40b14a294ff4/"
 },
 {
  "id": "source-8ebd89e066834678",
  "status": "index",
  "format": "podcast",
  "title": "How AI Is Upending the World of Mathematics | Odd Lots",
  "title_zh": "Justin Solomon：AI 怎样改变数学研究与教学",
  "series": "Odd Lots",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "justin-solomon"
  ],
  "topics": [
   "science",
   "education"
  ],
  "one_liner": "MIT 的 Justin Solomon 在 Bloomberg Odd Lots 讨论 AI 对数学研究与教育的影响。",
  "intro": {
   "text": "MIT 的 Justin Solomon 在 Bloomberg Odd Lots 讨论 AI 对数学研究与教育的影响。按节目介绍，访谈涉及纯数学和应用数学研究者怎样应对 AI 的进展，以及教师如何调整教学和作业。\n\n节目还以 Navier–Stokes 问题为例谈论证明的理解与评估，并讨论专业数学工作的实际面貌。本次仅核对发布方单集介绍；介绍中的 AI 证明说法尚未经本站查证，不作为数学问题已解决的结论。",
   "text_en": "MIT’s Justin Solomon joins Bloomberg’s Odd Lots to discuss AI in mathematical research and education. The publisher’s introduction describes responses from pure and applied mathematicians and changes to teaching and homework.\n\nThe discussion uses the Navier–Stokes problem to explore interpreting and assessing proofs, alongside the everyday practice of mathematics. This entry relies on the publisher’s episode introduction. Its claim about an AI-generated proof has not been independently checked and is not presented as proof that the problem is solved.",
   "basis": "publisher-description",
   "url": "https://omny.fm/shows/odd-lots/how-ai-is-upending-the-world-of-mathematics",
   "checked": "2026-10-10",
   "source_title": "How AI Is Upending the World of Mathematics | Odd Lots"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-8ebd89e066834678/"
 },
 {
  "id": "source-bb69af9cef90a68f",
  "status": "distilled",
  "format": "talk",
  "title": "Building on the Codex Harness — Dominik Kundel, OpenAI",
  "title_zh": "基于 Codex Harness 构建自己的智能体客户端",
  "series": "AI Engineer",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": 1087,
  "lang": "en",
  "speakers": [
   "dominik-kundel"
  ],
  "topics": [
   "agents",
   "software"
  ],
  "one_liner": "AI Engineer：OpenAI 的 Dominik Kundel 揭秘 Codex App Server 架构，演示如何扩展系统提示、延迟工具与自定义客户端。",
  "intro": {
   "text": "Dominik Kundel 介绍 Codex App Server，以及它如何连接应用、IDE 扩展和第三方客户端。发布方说明涵盖 JSON-RPC 协议、消息交互和客户端可配置的能力。\n\n演讲还涉及开发者指令、动态工具、模型与沙箱设置、部署二进制、生成绑定和 SDK，并以游戏中的智能体演示接口用法。",
   "text_en": "Dominik Kundel introduces the Codex App Server and its role in connecting apps, IDE extensions and third-party clients. The publisher covers its JSON-RPC protocol, message flow and configurable capabilities.\n\nOther topics include developer instructions, dynamic tools, model and sandbox settings, shipping binaries, bindings and SDKs, with an agent-in-a-game demonstration.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=9WiBJRO84yY",
   "checked": "2026-10-10",
   "source_title": "Building on the Codex Harness — Dominik Kundel, OpenAI",
   "description_sha256": "32c4c24c598207eda6cf56d2c3ed536319925b46135cdaf167839532c5d8b5b9"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-bb69af9cef90a68f/"
 },
 {
  "id": "source-c1a8bc744ed7bbfd",
  "status": "distilled",
  "format": "talk",
  "title": "From Context to Memory: Your Agents Need a Real Memory Layer — Anders Swanson, Oracle",
  "title_zh": "从上下文到记忆：智能体需要真正的记忆层",
  "series": "AI Engineer",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": 1100,
  "lang": "en",
  "speakers": [
   "anders-swanson"
  ],
  "topics": [
   "agents",
   "software"
  ],
  "one_liner": "AI Engineer：Anders Swanson 剖析智能体记忆系统设计，提出混合检索与隐私脱敏的多模态存储架构。",
  "intro": {
   "text": "Anders Swanson 把智能体记忆视为系统设计问题，讨论为何上下文窗口和临时笔记不能替代长期记忆。发布方介绍涉及记忆的形成、召回、演化与评估。\n\n演讲还覆盖记忆类型、混合检索、写入前脱敏、审核历史，以及过时、错误归属、投毒和冲突记忆的处理。",
   "text_en": "Anders Swanson treats agent memory as a systems problem, examining why context windows and scratch notes do not replace persistent memory. The publisher describes formation, recall, evolution and evaluation.\n\nOther topics include memory types, hybrid retrieval, redaction before writing, audit history and handling stale, mis-scoped, poisoned or conflicting memories.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=BIhiYL4U9_M",
   "checked": "2026-10-10",
   "source_title": "From Context to Memory: Your Agents Need a Real Memory Layer — Anders Swanson, Oracle",
   "description_sha256": "fce10b5134cc957615f6d405a4b743758bc7a0a0a61e18dd9572b1e85b98b788"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-c1a8bc744ed7bbfd/"
 },
 {
  "id": "source-cddc62845df641cd",
  "status": "index",
  "format": "podcast",
  "title": "Was läuft gerade schief in der Künstlichen Intelligenz, Frau Zweig?",
  "title_zh": "Katharina Zweig：AI 的能力、责任与企业应用",
  "series": "F.A.Z. Digitalwirtschaft",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": null,
  "lang": "de",
  "speakers": [
   "katharina-zweig"
  ],
  "topics": [
   "governance",
   "society",
   "business"
  ],
  "one_liner": "F.A.Z. Digitalwirtschaft 邀请 RPTU Kaiserslautern 教授 Katharina Zweig，讨论语言模型的自主性、能力边界与制造商责任。",
  "intro": {
   "text": "F.A.Z. Digitalwirtschaft 邀请 RPTU Kaiserslautern 教授 Katharina Zweig，讨论语言模型的自主性、能力边界与制造商责任。发布方介绍把这些问题放在近期 AI 系统行为引发的风险争论中。\n\n节目也讨论企业应如何选择和使用 AI 系统，以及为何不宜把不同系统统称为一个“AI”。原节目为德语，本站提供中文与英文介绍。公开文字稿入口已确认，本次尚未核读全文或提炼引语。",
   "text_en": "F.A.Z. Digitalwirtschaft invites RPTU Kaiserslautern professor Katharina Zweig to discuss language-model autonomy, capabilities and manufacturer responsibility amid debates about AI-system behaviour.\n\nThe episode also considers how businesses should select and use AI systems and why different systems should not be treated as a single undifferentiated AI. The programme is in German; this entry provides Chinese and English introductions. A public transcript link is available, but its full contents have not yet been reviewed.",
   "basis": "publisher-description",
   "url": "https://digitec.podigee.io/437-neue-episode",
   "checked": "2026-10-10",
   "source_title": "Was läuft gerade schief in der Künstlichen Intelligenz, Frau Zweig?"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-cddc62845df641cd/"
 },
 {
  "id": "source-fa1b34c9aaf9e515",
  "status": "distilled",
  "format": "talk",
  "title": "Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbyte",
  "title_zh": "为智能体设计 CLI，而不只是为人设计",
  "series": "AI Engineer",
  "published": "2026-10-09",
  "added": "2026-10-10",
  "duration_s": 1100,
  "lang": "en",
  "speakers": [
   "pedro-lopez"
  ],
  "topics": [
   "agents",
   "software"
  ],
  "one_liner": "AI Engineer：Airbyte 的 Pedro Lopez 详解如何面向智能体优化 CLI 与 MCP，提出小工具集、结构化 JSON 与渐进发现。",
  "intro": {
   "text": "Pedro Lopez 分享 Airbyte 为智能体提供 MCP 服务与 CLI 的实践。按发布方介绍，两种接口都建立在 Context Store 和 OpenAPI 定义之上，用于访问企业数据。\n\n演讲比较工具发现、OAuth、会话和交互限制，并讨论 JSON 输入输出、统一命令结构、随工具提供技能，以及避免交互式提示。",
   "text_en": "Pedro Lopez shares Airbyte’s experience building an MCP server and a CLI for agents. According to the publisher, both interfaces build on the Context Store and OpenAPI definitions to access business data.\n\nThe talk compares tool discovery, OAuth, sessions and interaction limits, then covers JSON input and output, consistent commands, bundled skills and avoiding interactive prompts.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=3wj6sgbi1YA",
   "checked": "2026-10-10",
   "source_title": "Designing CLIs for Agents, Not Humans — Pedro Lopez, Airbyte",
   "description_sha256": "12e19edc3f3222b7ea6b36d03b9f1602ad6d91e33adb10aee04659972125e9ed"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-fa1b34c9aaf9e515/"
 },
 {
  "id": "source-44a7e37690340f63",
  "status": "distilled",
  "format": "talk",
  "title": "AI Writes More PRs. Who Validates Them? — Ali-Reza Adl-Tabatabai, Sonar",
  "title_zh": "AI 写更多 PR，谁来验证？",
  "series": "AI Engineer",
  "published": "2026-10-08",
  "added": "2026-10-10",
  "duration_s": 694,
  "lang": "en",
  "speakers": [
   "ali-reza-adl-tabatabai"
  ],
  "topics": [
   "software",
   "agents",
   "work"
  ],
  "one_liner": "AI Engineer：Ali-Reza Adl-Tabatabai 谈 AI 生成代码暴增下的 PR 验证瓶颈，提出结合程序分析的自动化合流。",
  "intro": {
   "text": "Ali-Reza Adl-Tabatabai 讨论 AI 生成更多、更大代码改动后，CI 和代码审核如何成为质量与速度的瓶颈。发布方介绍围绕智能体验证、失败解释、测试问题与自动修复展开。\n\n演讲还说明团队怎样逐步授权自动批准与合并，以及智能体和程序分析如何配合。这些是受访者所介绍的方法与产品能力，尚未由本站独立测试。",
   "text_en": "Ali-Reza Adl-Tabatabai discusses how CI and code review become bottlenecks when AI produces more and larger changes. The publisher describes agentic validation, failure explanations, test issues and automated fixes.\n\nThe talk also addresses gradually authorizing approval and merging and combining agents with program analysis. These are methods and product capabilities described by the speaker, not independently tested by this site.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=uuwDWRbxoYo",
   "checked": "2026-10-10",
   "source_title": "AI Writes More PRs. Who Validates Them? — Ali-Reza Adl-Tabatabai, Sonar",
   "description_sha256": "c501aa85349d10a6330c914d8318cae7c53bbe323b652a5bbc0c17cd3d548c57"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-44a7e37690340f63/"
 },
 {
  "id": "source-4e5b87b4b0d2ccfa",
  "status": "distilled",
  "format": "talk",
  "title": "Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Lab",
  "title_zh": "为什么 80% 的可靠性还不够",
  "series": "AI Engineer",
  "published": "2026-10-08",
  "added": "2026-10-10",
  "duration_s": 1064,
  "lang": "en",
  "speakers": [
   "felipe-blanes"
  ],
  "topics": [
   "agents",
   "alignment",
   "business"
  ],
  "one_liner": "AI Engineer：Amazon AGI Lab 的 Felipe Blanes 提出智能体评测飞轮，详解可靠性信任断崖与透明度原则。",
  "intro": {
   "text": "Felipe Blanes 从 Nova Act 的客户实践讨论静态评测与实际使用之间的差距。按发布方介绍，演讲提出由客户成功标准、信号收集、问题诊断和决策反馈组成的评估循环。\n\n内容还涉及用户信任、主动说明产品局限，以及让评测持续更新。标题和介绍中的可靠性数字属于讲者的经验表述，不作为适用于所有系统的通用阈值。",
   "text_en": "Felipe Blanes draws on Nova Act customer work to discuss the gap between static evaluations and actual use. The publisher describes an evaluation loop built around customer-defined success, signal collection, diagnosis and feedback into decisions.\n\nThe talk also addresses trust, transparency about product limits and keeping evaluations current. Reliability figures in the title and description are the speaker’s experience-based statements, not universal thresholds for every system.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=Emo5FGGY-wM",
   "checked": "2026-10-10",
   "source_title": "Why 80% Reliability Isn't Good Enough — Felipe Blanes, Amazon AGI Lab",
   "description_sha256": "336a8070928ed76de4e399450981577e4cb3835d8813f62fb05dfc7f96553df1"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-4e5b87b4b0d2ccfa/"
 },
 {
  "id": "source-85bd31128ae1c16b",
  "status": "index",
  "format": "podcast",
  "title": "E255｜模型越来越强，为什么用户没感觉？再访阿里国际站总裁张阔",
  "title_zh": "模型越来越强，为什么用户没感觉？再访张阔",
  "series": "硅谷101",
  "published": "2026-10-08",
  "added": "2026-10-10",
  "duration_s": 2773,
  "lang": "zh",
  "speakers": [
   "zhang-kuo"
  ],
  "topics": [
   "agents",
   "work",
   "business"
  ],
  "one_liner": "硅谷101 主持人 Yiwen 再访阿里国际站总裁张阔，讨论模型评测进步怎样转化为商家的实际工作成果。",
  "intro": {
   "text": "硅谷101 主持人 Yiwen 再访阿里国际站总裁张阔，讨论模型评测进步怎样转化为商家的实际工作成果。发布方介绍列举报价比较、采购、船期与交易纠纷等业务任务，关注智能体仍需人解释、检查和兜底的情况。\n\n节目围绕榜单与实际交付的落差、通用模型与垂直产品的关系，以及人在 AI 执行工作后保留哪些判断展开。本次读取节目介绍和时间线；介绍中的评测结果为嘉宾所述，尚未独立核实，也没有据此抽取原话。",
   "text_en": "Silicon Valley 101 host Yiwen revisits Zhang Kuo, president of Alibaba.com, to discuss how model benchmark improvements translate into merchants’ work. The publisher’s introduction mentions quotation comparisons, procurement, shipping and disputes, including tasks where agents still need human explanation, checking and backup.\n\nThe episode addresses the gap between benchmark scores and delivery, general models versus vertical products, and the judgments humans retain as AI performs more work. This entry is based on the introduction and timeline; reported evaluation results remain guest claims, not independently verified findings.",
   "basis": "publisher-description",
   "url": "https://sv101.fireside.fm/269",
   "checked": "2026-10-10",
   "source_title": "E255｜模型越来越强，为什么用户没感觉？再访阿里国际站总裁张阔"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-85bd31128ae1c16b/"
 },
 {
  "id": "source-7ccae94caf4437e9",
  "status": "index",
  "format": "podcast",
  "title": "OpenAI’s Tibo Sottiaux doesn’t want humans to be an ‘afterthought’ — Pioneers of AI (Masters of Scale)",
  "title_zh": "Tibo Sottiaux：让人处在 AI 产品的中心",
  "series": "Pioneers of AI",
  "published": "2026-10-07",
  "added": "2026-10-10",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "tibo-sottiaux"
  ],
  "topics": [
   "relationships",
   "alignment",
   "agents"
  ],
  "one_liner": "Rana el Kaliouby 与 Tibo Sottiaux 讨论 AI 产品中的信任与权限：用户如何逐步让智能体参与日常工作，研发与产品团队又怎样共同设计能力和安全评估。",
  "intro": {
   "text": "Rana el Kaliouby 与 Tibo Sottiaux 讨论 AI 产品中的信任与权限：用户如何逐步让智能体参与日常工作，研发与产品团队又怎样共同设计能力和安全评估。\n\n访谈还涉及训练、评估与部署的区别、递归自我改进，以及自动化加速时人的位置。发布方提供自动生成、未完全校正的文字稿；其中关于产品能力和事件的说法属于受访者陈述，尚未经本站独立验证。",
   "text_en": "Rana el Kaliouby speaks with Tibo Sottiaux about trust and permissions in AI products, gradual delegation to agents, and collaboration between research and product teams.\n\nThey also discuss training, evaluation and deployment, recursive self-improvement, and the human role as automation accelerates. The publisher supplies an automatically generated transcript that is not fully corrected. Product and incident claims remain the guest’s statements, rather than independently verified facts.",
   "basis": "publisher-description",
   "url": "https://mastersofscale.com/openais-tibo-sottiaux-doesnt-want-humans-to-be-an-afterthought/",
   "checked": "2026-10-10",
   "source_title": "OpenAI’s Tibo Sottiaux doesn’t want humans to be an ‘afterthought’ — Pioneers of AI (Masters of Scale)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-7ccae94caf4437e9/"
 },
 {
  "id": "source-74e05be0d147885d",
  "status": "distilled",
  "format": "talk",
  "title": "How a Remote Company Builds AI Fluency — Em Shreve, Automattic",
  "title_zh": "Em Shreve：远程公司如何建立团队的 AI 应用能力",
  "series": "AI Engineer",
  "published": "2026-10-09",
  "added": "2026-10-09",
  "duration_s": 932,
  "lang": "en",
  "speakers": [
   "em-shreve"
  ],
  "topics": [
   "education",
   "work",
   "software"
  ],
  "one_liner": "AI Engineer：Automattic 的 Em Shreve 详解远程团队如何通过同侪赋能、MCP 共享基建与伴随式工作坊规模化普及 AI 实践。",
  "intro": {
   "text": "Automattic 的 AI Enablement 负责人 Em Shreve 介绍一家远程公司如何把 AI 工具使用转化为持续的团队能力。演讲的核心案例是为工程、跨职能与非技术团队设计的两周线下学习项目：一半时间用于工作坊，一半时间用于真实工作项目。\n\n发布方说明列出 MCP、hooks、智能体与内部 MCP 服务等实践内容，并介绍结业成员如何通过操作指南、分享会、结对实践和帮助频道继续带动同事。项目还使用培训后 72 小时、30 天和 90 天的反馈，观察学习能否进入日常工作。",
   "text_en": "Em Shreve, Head of AI Enablement at Automattic, describes how a remote company turns access to AI tools into sustained team capability. The central example is a two-week in-person programme for engineering, cross-functional, and non-technical groups, split between workshops and projects drawn from real work.\n\nThe publisher’s description lists practical work with MCP, hooks, agents, and an internal MCP server. Graduates continue helping colleagues through guides, meetups, ride-alongs, and support channels. Surveys at 72 hours, 30 days, and 90 days examine whether the learning carries into everyday work.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=3XI90A3ENSg",
   "checked": "2026-10-09",
   "source_title": "How a Remote Company Builds AI Fluency — Em Shreve, Automattic",
   "description_sha256": "e3031e01e1c09cde1ad2b9173ef05896386540bc57349043daa15a80d6e6a532"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-74e05be0d147885d/"
 },
 {
  "id": "source-9d4469f54600ef8d",
  "status": "distilled",
  "format": "talk",
  "title": "Brains vs Hands: How to Run AI Agents Safely in Production — Viren Baraiya",
  "title_zh": "Viren Baraiya：把 AI 智能体的规划与执行分开，安全运行生产系统",
  "series": "AI Engineer",
  "published": "2026-10-09",
  "added": "2026-10-09",
  "duration_s": 1009,
  "lang": "en",
  "speakers": [
   "viren-baraiya"
  ],
  "topics": [
   "agents",
   "security",
   "software"
  ],
  "one_liner": "AI Engineer：Orkes CTO Viren Baraiya 提出大脑与双手解耦架构，详解生产级智能体的后绑定 Saga 与持久化。",
  "intro": {
   "text": "Orkes 联合创始人兼 CTO Viren Baraiya 提出把智能体分成负责规划的“大脑”和负责确定性执行的“手”。发布方介绍将讨论重点放在长期运行、事件驱动和会产生实际操作后果的智能体，说明仅有一次模型调用为什么不足以支撑生产系统。\n\n演讲涉及审批关口、幂等性、操作记录与持久化工作流，以及把智能体生成的计划转为 Conductor 工作流的做法。示例围绕 SRE 场景展开，分别呈现推理与执行循环，让计划变化与执行约束各有明确位置。",
   "text_en": "Viren Baraiya, co-founder and CTO of Orkes, proposes separating an agent’s planning “brain” from its deterministic execution “hands”. The publisher’s description focuses on long-running, event-driven agents that cause real-world side effects, and why a single model call is insufficient for production operation.\n\nThe talk covers approval gates, idempotency, action logs, and durable workflows, including compiling an agent-generated plan into a Conductor workflow. An SRE example illustrates separate reasoning and execution loops, giving changing plans and execution constraints distinct roles.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=NaOkR3VSfR4",
   "checked": "2026-10-09",
   "source_title": "Brains vs Hands: How to Run AI Agents Safely in Production — Viren Baraiya",
   "description_sha256": "791a241d87762ee3a22e2a45cf855afdfb35507e3844a31407159d81e6cb949e"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-9d4469f54600ef8d/"
 },
 {
  "id": "source-521737fb516df371",
  "status": "index",
  "format": "podcast",
  "title": "AI Scientists Are Here: Autonomous Labs & Synthesis Superintelligence — Periodic Labs",
  "title_zh": "Periodic Labs：让 AI 科学家进入物理实验室",
  "series": "Latent Space",
  "published": "2026-10-08",
  "added": "2026-10-09",
  "duration_s": 5120,
  "lang": "en",
  "speakers": [
   "liam-fedus",
   "ekin-dogus-cubuk",
   "swyx"
  ],
  "topics": [
   "science",
   "embodied",
   "compute"
  ],
  "one_liner": "Periodic Labs 联合创始人 Liam Fedus 与 Ekin Doğuş Çubuk 和主持人讨论：AI 要发现新材料，为什么不能只依靠推理与已有论文，还需要提出假设、运行物理实验并从结果中学习。",
  "intro": {
   "text": "Periodic Labs 联合创始人 Liam Fedus 与 Ekin Doğuş Çubuk 和主持人讨论：AI 要发现新材料，为什么不能只依靠推理与已有论文，还需要提出假设、运行物理实验并从结果中学习。节目介绍将材料发现分为预测、合成与表征的循环，关注真实实验中的噪声、不确定性和失败数据。\n\n本期还涉及物理环境中的强化学习、模拟与实验之间的关系，以及如何把 AI、化学、物理和自动化硬件连接成自主实验室。两位嘉宾介绍他们所说的“合成超级智能”，以及让模型学习整个科研过程而不只是最终发表结果的设想。",
   "text_en": "Periodic Labs co-founders Liam Fedus and Ekin Doğuş Çubuk discuss why discovering new materials requires more than reasoning over existing papers: AI systems also need to form hypotheses, run physical experiments, and learn from outcomes. The publisher’s introduction frames discovery as a loop of prediction, synthesis, and characterization, with noise, uncertainty, and failed experiments as central challenges.\n\nThe episode also covers reinforcement learning in physical environments, the relationship between simulation and experiments, and connecting AI, chemistry, physics, and automated hardware into autonomous laboratories. The guests outline their vision of synthesis superintelligence and models that learn from the entire scientific process, rather than only published results.",
   "basis": "publisher-description",
   "url": "https://www.latent.space/p/periodic",
   "checked": "2026-10-09",
   "source_title": "AI Scientists Are Here: Autonomous Labs & Synthesis Superintelligence — Periodic Labs",
   "description_sha256": "f9a0699c98e158f242b42441cbb0fd7c6538d9dde82bab0e39fc5a9778d02eba"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-521737fb516df371/"
 },
 {
  "id": "source-527ef82ccb780cbf",
  "status": "index",
  "format": "interview",
  "title": "\"The AI Doc: Or How I Became an Apocaloptimist\": Daniel Roher, Tristan Harris Discuss New Film",
  "title_zh": "《The AI Doc》：Daniel Roher 与 Tristan Harris 谈 AI 的希望、风险与选择",
  "series": "Democracy Now!",
  "published": "2026-10-08",
  "added": "2026-10-09",
  "duration_s": 1475,
  "lang": "en",
  "speakers": [
   "daniel-roher",
   "tristan-harris"
  ],
  "topics": [
   "governance",
   "society",
   "alignment"
  ],
  "one_liner": "纪录片联合导演 Daniel Roher 与 Center for Humane Technology 联合创始人 Tristan Harris 介绍《The AI Doc: Or How I Became an Apocaloptimist》。",
  "intro": {
   "text": "纪录片联合导演 Daniel Roher 与 Center for Humane Technology 联合创始人 Tristan Harris 介绍《The AI Doc: Or How I Became an Apocaloptimist》。Roher 从即将成为父亲的个人视角，说明他为何走访 AI 行业、研究者及批评者，试图理解乐观承诺与危险预警之间的分歧。\n\n访谈讨论 AI 公司竞争与加速部署的激励，以及社会如何参与决定技术的发展方向。Harris 关注竞争压力、风险治理和公共约束。节目包含纪录片片段；片段中的其他人物发言不能直接归为两位受访者的观点。",
   "text_en": "Documentary co-director Daniel Roher and Center for Humane Technology co-founder Tristan Harris introduce The AI Doc: Or How I Became an Apocaloptimist. From the perspective of becoming a father, Roher explains why he sought out AI companies, researchers, and critics to understand the gap between optimistic promises and warnings of danger.\n\nThe interview discusses competitive incentives to accelerate AI deployment and how society can help shape its direction. Harris addresses competitive pressures, risk governance, and public guardrails. The programme includes documentary clips; statements made by people in those clips should not be attributed to the two interview guests.",
   "basis": "publisher-description",
   "url": "https://www.democracynow.org/2026/10/8/the_ai_doc",
   "checked": "2026-10-09",
   "source_title": "\"The AI Doc: Or How I Became an Apocaloptimist\": Daniel Roher, Tristan Harris Discuss New Film",
   "description_sha256": "960246628d6da2e5fbb92018ae66d8a97dfa636a9e643574bd9bd15d532f3379"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-527ef82ccb780cbf/"
 },
 {
  "id": "source-8afa853a350658b4",
  "status": "distilled",
  "format": "interview",
  "title": "Building the Cloud for AI Agents | AWS CEO Matt Garman",
  "title_zh": "AWS CEO Matt Garman：为 AI 智能体建设云基础设施",
  "series": "a16z",
  "published": "2026-10-08",
  "added": "2026-10-09",
  "duration_s": 3377,
  "lang": "en",
  "speakers": [
   "matt-garman"
  ],
  "topics": [
   "compute",
   "agents",
   "software"
  ],
  "one_liner": "AWS CEO Matt Garman 阐述面向智能体时代的云底座重构：智能体循环调用对 P99.9 长尾延迟极度敏感，研发模式彻底演进为「智能体优先」、由人类统领智能体团队。",
  "intro": {
   "text": "AWS CEO Matt Garman 与 a16z 的 Raghu Raghuram 讨论 AI 智能体怎样改变云基础设施需求。节目介绍关注企业从试验转向实际部署时，需要怎样的算力、可靠性与安全基础，以及 AWS 如何配置资源支持创业公司和大型企业。\n\n讨论范围包括 GPU 供给、Trainium 与 Graviton 芯片、基础设施投资与容量瓶颈，以及企业采用智能体时的信任问题。本期还涉及 AWS 内部使用 AI 智能体的经验，帮助读者对照平台提供者如何理解下一阶段的云计算。",
   "text_en": "AWS CEO Matt Garman joins a16z’s Raghu Raghuram to discuss how AI agents are changing cloud-infrastructure requirements. The publisher’s introduction focuses on the compute, reliability, and security enterprises need as they move from experiments to deployment, and how AWS supports both startups and large businesses.\n\nTopics include GPU availability, Trainium and Graviton chips, infrastructure investment and capacity constraints, and the trust required for enterprise adoption of agents. The conversation also covers AWS’s internal use of AI agents, offering a platform provider’s perspective on the next phase of cloud computing.",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=rn_afJaPldg",
   "checked": "2026-10-09",
   "source_title": "Building the Cloud for AI Agents | AWS CEO Matt Garman",
   "description_sha256": "e8d057e5b6c61ca485b1f17b233a2d157bc29bef0990a90e2afa611d9f3c8136"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-8afa853a350658b4/"
 },
 {
  "id": "source-2f93425ee93ac43f",
  "status": "index",
  "format": "interview",
  "title": "AI Researcher Answers: Is AI’s Existential Threat Real?",
  "title_zh": "Timnit Gebru：AI 的生存风险叙事、监管与人的自主性",
  "series": "WIRED The Big Interview",
  "published": "2026-09-30",
  "added": "2026-10-09",
  "duration_s": 1534,
  "lang": "en",
  "speakers": [
   "timnit-gebru"
  ],
  "topics": [
   "governance",
   "alignment",
   "society"
  ],
  "one_liner": "WIRED 记者 Lauren Goode 与 AI 研究者 Timnit Gebru 讨论人工智能的生存风险叙事。",
  "intro": {
   "text": "WIRED 记者 Lauren Goode 与 AI 研究者 Timnit Gebru 讨论人工智能的生存风险叙事。按原节目介绍，访谈还涉及监管被产业影响的问题、机器背后的“心智”究竟意味着什么，以及技术转向自主系统时人的自主性与选择。\n\n这是一场历史访谈补收：原发布页标注 2026 年 9 月 30 日发布，本站于 10 月 9 日加入。页面提供官方文字稿入口，便于后续按说话人和上下文核对；目前仍为内容索引，不展示尚未核对的逐字引语。",
   "text_en": "WIRED correspondent Lauren Goode speaks with AI researcher Timnit Gebru about narratives of existential risk from artificial intelligence. According to the publisher’s introduction, the conversation also covers regulatory capture, what a “mind behind the machine” would mean, and human agency as technology shifts towards autonomous systems.\n\nThis is a historical interview added to the collection: the original page lists September 30, 2026 as its release date, and the site added it on October 9. An official transcript link supports subsequent checks of speakers and context. The entry remains an index and does not present unverified verbatim quotations.",
   "basis": "publisher-description",
   "url": "https://www.wired.com/video/watch/big-interview-timnit-gebru",
   "checked": "2026-10-09",
   "source_title": "AI Researcher Answers: Is AI’s Existential Threat Real?"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-2f93425ee93ac43f/"
 },
 {
  "id": "source-3e9a400f026fce27",
  "status": "index",
  "format": "podcast",
  "title": "Google's AI Infrastructure Chief, Amin Vahdat, on the Physics & Economics of Frontier AI",
  "title_zh": "Amin Vahdat：前沿 AI 的物理与经济约束",
  "series": "Sequoia Training Data",
  "published": "2026-10-06",
  "added": "2026-10-07",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "amin-vahdat"
  ],
  "topics": [
   "compute",
   "business"
  ],
  "one_liner": "Sequoia 的 Training Data 访谈以 AI 基础设施为主题，讨论前沿 AI 的物理条件与经济问题。",
  "intro": {
   "text": "Sonya Huang 与 Google 的 AI 基础设施负责人 Amin Vahdat 讨论超大规模数据中心中的实际产出：频繁故障意味着算力指标不能充分反映有效工作量。对谈介绍 TPU 产品分工，以及硬件设计如何与 DeepMind 的模型需求共同调整。\n\n内容还涉及长时间运行的智能体对 CPU 和存储的需求、光路交换、供电约束、训练与服务集群的差别，并延伸到轨道数据中心和未来机架设计。发布方把这些问题放在物理与经济约束下讨论。",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=bGph8GwB3Sk",
   "checked": "2026-10-08",
   "source_title": "Google's AI Infrastructure Chief, Amin Vahdat, on the Physics & Economics of Frontier AI",
   "description_sha256": "b0d4fce957a56bb078fd322ab7570949dc7d34cfef3023ce4ac67f9470bbfc42",
   "text_en": "Sonya Huang talks with Google's Amin Vahdat about useful computation in large AI clusters, where equipment failures complicate headline performance metrics. The discussion includes TPU specialization and coordination between chip designers and DeepMind.\n\nThey also examine the CPU and storage demands of long-running agents, optical switching, power availability, training versus serving infrastructure, and possible future data-center designs, including orbital systems."
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/source-3e9a400f026fce27/"
 },
 {
  "id": "cognitive-revolution-keerthana-20261003",
  "status": "distilled",
  "format": "podcast",
  "title": "One Brain, Any Body: Google DeepMind's Keerthana on Gemini Robotics 2, Cross-Embodiment & Humanoids",
  "title_zh": "一个大脑，任意身体：Gemini Robotics 2 与跨本体",
  "series": "Cognitive Revolution",
  "published": "2026-10-03",
  "added": "2026-10-04",
  "duration_s": 5433,
  "lang": "en",
  "speakers": [
   "keerthana"
  ],
  "topics": [
   "embodied",
   "paradigms",
   "agents"
  ],
  "one_liner": "Google DeepMind 机器人研究负责人 Keerthana 详解 Gemini Robotics 2：机器人领域仍处在「GPT-2 时代」，跨本体泛化与长程多步骤执行仍受制于复合误差累积。",
  "intro": {
   "text": "Keerthana Gopalakrishnan 介绍 Gemini Robotics 2 的推理与动作模型架构，并讨论从仿真到现实的迁移、跨本体泛化和全身控制。核心问题是同一套机器人智能如何适用于不同身体、任务与真实环境。",
   "basis": "publisher-description",
   "url": "https://www.cognitiverevolution.ai/one-brain-any-body-google-deepmind-s-keerthana-on-gemini-robotics-2-cross-embodiment-humanoids/",
   "checked": "2026-10-06",
   "source_title": "One Brain, Any Body: Google DeepMind's Keerthana on Gemini Robotics 2, Cross-Embodiment & Humanoids"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cognitive-revolution-keerthana-20261003/"
 },
 {
  "id": "tbpn-sam-altman-20260929",
  "status": "distilled",
  "format": "interview",
  "title": "🔴 LIVE from OpenAI DevDay — Sam Altman (TBPN; chip program 2027H1 + alignment unsolved)",
  "title_zh": "OpenAI DevDay 现场：Altman 谈芯片计划与未解的对齐",
  "series": "TBPN",
  "published": "2026-09-29",
  "added": "2026-10-04",
  "duration_s": 7500,
  "lang": "en",
  "speakers": [
   "sam-altman"
  ],
  "topics": [
   "compute",
   "alignment",
   "agents",
   "business"
  ],
  "one_liner": "TBPN：Sam Altman 谈算力与芯片。",
  "intro": {
   "text": "Sam Altman 在 OpenAI DevDay 现场讨论芯片计划与对齐问题，提供公司发展安排和技术挑战的交流入口。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=efcG5Uf-GH0",
   "checked": "2026-10-06",
   "source_title": "🔴 LIVE from OpenAI DevDay — Sam Altman (TBPN; chip program 2027H1 + alignment unsolved)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/tbpn-sam-altman-20260929/"
 },
 {
  "id": "meet-the-bill-gates-20260927",
  "status": "index",
  "format": "interview",
  "title": "Bill Gates says it's 'not enough to have a kill switch' for AI: Full interview (Meet the Press)",
  "title_zh": "盖茨：只有关机开关是不够的",
  "series": "Meet the Press",
  "published": "2026-09-27",
  "added": "2026-10-04",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "bill-gates"
  ],
  "topics": [
   "governance",
   "alignment"
  ],
  "one_liner": "Meet the Press：比尔·盖茨谈监管与节奏。",
  "intro": {
   "text": "Bill Gates 讨论为什么单靠关机开关不足以应对 AI 风险，围绕更广泛的控制与治理问题展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=AbMxbgIahtE",
   "checked": "2026-10-06",
   "source_title": "Bill Gates says it's 'not enough to have a kill switch' for AI: Full interview (Meet the Press)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/meet-the-bill-gates-20260927/"
 },
 {
  "id": "latent-space-alex-zhang-20261002",
  "status": "distilled",
  "format": "podcast",
  "title": "Recursive Language Models — Alex Zhang, MIT PhD",
  "title_zh": "递归语言模型",
  "series": "Latent Space",
  "published": "2026-10-02",
  "added": "2026-10-03",
  "duration_s": 6181,
  "lang": "en",
  "speakers": [
   "alex-zhang"
  ],
  "topics": [
   "paradigms",
   "software",
   "agents",
   "compute"
  ],
  "one_liner": "MIT 博士生 Alex Zhang 详解递归语言模型（RLM）：重新定义外周框架（Harness）的归纳偏置价值，指出未来语言模型表面是单一接口、底层实为具备递归扩展能力的脚手架与智能体蜂群。",
  "intro": {
   "text": "Alex Zhang 介绍递归语言模型，关注模型如何递归处理复杂输入与上下文，以及这种组织方式带来的能力变化。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=kog7mwsDqnk",
   "checked": "2026-10-06",
   "source_title": "Recursive Language Models — Alex Zhang, MIT PhD"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-alex-zhang-20261002/"
 },
 {
  "id": "democracy-now-timnit-gebru-20261001",
  "status": "distilled",
  "format": "interview",
  "title": "\"They're Not Superintelligent\": Timnit Gebru Discredits Big Tech's AI Claims",
  "title_zh": "Timnit Gebru：「它们不是超级智能」",
  "series": "Democracy Now!",
  "published": "2026-10-01",
  "added": "2026-10-03",
  "duration_s": 1508,
  "lang": "en",
  "speakers": [
   "timnit-gebru"
  ],
  "topics": [
   "society",
   "agi",
   "governance"
  ],
  "one_liner": "DAIR 创始人 Timnit Gebru 抨击前沿科技巨头的「超级智能与末日叙事」：虚构科幻级机器失控本质上是监管俘获的烟幕弹，旨在规避现有法律对网络攻击、数据侵权与垄断的刑事问责。",
  "intro": {
   "text": "Timnit Gebru 对科技公司的超级智能叙事提出质疑，讨论如何理解 AI 能力宣传及其社会影响。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=XqxbWdJ51K0",
   "checked": "2026-10-06",
   "source_title": "\"They're Not Superintelligent\": Timnit Gebru Discredits Big Tech's AI Claims"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/democracy-now-timnit-gebru-20261001/"
 },
 {
  "id": "techcrunch-brian-chesky-20261001",
  "status": "index",
  "format": "interview",
  "title": "Brian Chesky interview: AI agents need their own operating system",
  "title_zh": "Brian Chesky：AI 智能体需要自己的操作系统",
  "series": "TechCrunch",
  "published": "2026-10-01",
  "added": "2026-10-03",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "brian-chesky"
  ],
  "topics": [
   "agents"
  ],
  "one_liner": "TechCrunch：Brian Chesky 谈智能体落地。",
  "intro": {
   "text": "Brian Chesky 讨论 AI 智能体的操作系统需求，关注怎样为智能体建立适合执行任务的产品基础。",
   "basis": "published-title",
   "url": "https://techcrunch.com/2026/10/01/brian-chesky-interview-ai-agents-need-their-own-operating-system/",
   "checked": "2026-10-06",
   "source_title": "Brian Chesky interview: AI agents need their own operating system"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/techcrunch-brian-chesky-20261001/"
 },
 {
  "id": "youtube-bill-gates-20260929",
  "status": "distilled",
  "format": "interview",
  "title": "Bill Gates: A.I. 'Makes Nuclear Weapons Look Like Nothing'",
  "title_zh": "盖茨：AI 让核武器都显得不算什么",
  "series": "YouTube",
  "published": "2026-09-29",
  "added": "2026-10-03",
  "duration_s": 4409,
  "lang": "en",
  "speakers": [
   "bill-gates"
  ],
  "topics": [
   "alignment",
   "governance",
   "security"
  ],
  "one_liner": "比尔·盖茨直言 AI 威胁「让核武器相形见绌」：生物与网络安全危险红线已被实质跨越，抨击全社会漠视与实验室「不安全就不发布」的自律幻想。",
  "intro": {
   "text": "Bill Gates 以核武器作比较讨论 AI 风险，关注这类技术可能带来的影响及其治理难题。比较属于原节目的表述语境。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=A_156w0aYtU",
   "checked": "2026-10-06",
   "source_title": "Bill Gates: A.I. 'Makes Nuclear Weapons Look Like Nothing'"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-bill-gates-20260929/"
 },
 {
  "id": "google-deepmind-from-deepfakes-to-20261001",
  "status": "index",
  "format": "podcast",
  "title": "From deepfakes to DNA: the science of watermarking AI",
  "title_zh": "从深度伪造到 DNA：给 AI 打水印的科学",
  "series": "Google DeepMind",
  "published": "2026-10-01",
  "added": "2026-10-02",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "deepmind"
  ],
  "topics": [
   "security"
  ],
  "one_liner": "Google DeepMind：关于网络安全与滥用的一期。",
  "intro": {
   "text": "Hannah Fry 与 Pushmeet Kohli、Jeremy Ratcliffe 讨论 SynthID 水印，从文本、图像和视频延伸到生物序列。发布方介绍重点包括 AI 内容溯源、滥用防护与蛋白质设计中的水印。",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=HIUzrxQxTtw",
   "checked": "2026-10-06",
   "source_title": "From deepfakes to DNA: the science of watermarking AI",
   "description_sha256": "24809ccab9c364ed30ce0a80a95e471f082105c93add8cb295908034f0f784bb"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/google-deepmind-from-deepfakes-to-20261001/"
 },
 {
  "id": "machine-learning-shawn-wen-20261001",
  "status": "index",
  "format": "podcast",
  "title": "How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen",
  "title_zh": "语音智能体怎么学会对话的节奏",
  "series": "Machine Learning Street Talk",
  "published": "2026-10-01",
  "added": "2026-10-02",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "shawn-wen"
  ],
  "topics": [
   "agents"
  ],
  "one_liner": "Machine Learning Street Talk：Shawn Wen 谈智能体落地。",
  "intro": {
   "text": "Shawn Wen 讨论语音智能体怎样适应对话节奏。发布方说明涉及轮次切换、嘈杂通话训练、延迟、评估与企业可审计性，而不只是把文字回答读出来。",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=VoAPg8Fj6-c",
   "checked": "2026-10-06",
   "source_title": "How a Voice Agent Learns the Rhythm of Conversation — Shawn Wen",
   "description_sha256": "4da7baa716aae061b2aed87b024840071a7e1b1b38ac72b62e4ed87d9ebb19b8"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/machine-learning-shawn-wen-20261001/"
 },
 {
  "id": "the-every-sam-altman-20260930",
  "status": "distilled",
  "format": "podcast",
  "title": "How Sam Altman Actually Uses AI to Run OpenAI and His Life (The Every Podcast × Dan Shipper, DevDay)",
  "title_zh": "Altman 实际上怎么用 AI 管 OpenAI 和自己的生活",
  "series": "The Every Podcast",
  "published": "2026-09-30",
  "added": "2026-10-02",
  "duration_s": 1980,
  "lang": "en",
  "speakers": [
   "sam-altman",
   "dan-shipper"
  ],
  "topics": [
   "work",
   "agents",
   "software",
   "business"
  ],
  "one_liner": "Sam Altman 谈人机协作范式：断言一人公司繁荣打破单一垄断幻想，传统软件抽象面临重写，静态文件转向‘活体文档’。",
  "intro": {
   "text": "Sam Altman 向 Dan Shipper 介绍自己怎样用常驻智能体 Dots 处理事务、保护早晨的创作时间，并生成新功能版本供自己检查。发布方还列出 Ultrafast、人与智能体协作的文档，以及小团队开发与 AI 文艺复兴等议题。",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=jZh55CQwSh8",
   "checked": "2026-10-06",
   "source_title": "How Sam Altman Actually Uses AI to Run OpenAI and His Life (The Every Podcast × Dan Shipper, DevDay)",
   "description_sha256": "0d525b0c7049ccb6d07d247a76f946366b2252b5d35e2478e93666fa683d5141"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/the-every-sam-altman-20260930/"
 },
 {
  "id": "youtube-elon-musk-20260929",
  "status": "distilled",
  "format": "panel",
  "title": "Elon Musk & Jensen Huang speak at America.gov event",
  "title_zh": "马斯克与黄仁勋在美国政府活动上的发言",
  "series": "YouTube",
  "published": "2026-09-29",
  "added": "2026-10-02",
  "duration_s": 1572,
  "lang": "en",
  "speakers": [
   "elon-musk",
   "jensen-huang"
  ],
  "topics": [
   "compute",
   "geopolitics",
   "business"
  ],
  "one_liner": "YouTube：马斯克、黄仁勋同台，谈国家竞争与主权。",
  "intro": {
   "text": "Elon Musk 与 Jensen Huang 在美国政府活动上公开发言。本条提供两位技术企业负责人同场发言的原片入口，具体议题以现场内容为准。",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=Gf-KssYwepc",
   "checked": "2026-10-06",
   "source_title": "Elon Musk & Jensen Huang speak at America.gov event",
   "description_sha256": "da521c70ce0a6bfab069511b2bcc447237bdcba3504260e87975cb41d24c7a9c"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-elon-musk-20260929/"
 },
 {
  "id": "a16z-ai-infrastructure-and-20260930",
  "status": "index",
  "format": "podcast",
  "title": "AI, Infrastructure, and the Next Investment Cycle",
  "title_zh": "AI、基础设施与下一个投资周期",
  "series": "a16z",
  "published": "2026-09-30",
  "added": "2026-10-01",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "a16z"
  ],
  "topics": [
   "business",
   "compute"
  ],
  "one_liner": "a16z：关于商业模式与格局的一期。",
  "intro": {
   "text": "围绕 AI 基础设施建设与投资周期展开，讨论算力投入和下一轮投资机会之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=lr3hNhA0IfQ",
   "checked": "2026-10-06",
   "source_title": "AI, Infrastructure, and the Next Investment Cycle"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-ai-infrastructure-and-20260930/"
 },
 {
  "id": "latent-space-ari-weinstein-20260930",
  "status": "distilled",
  "format": "podcast",
  "title": "OpenAI’s New Agent Stack: Computer Use, Decisions API, UltraFast, Dots—Ari Weinstein & Nikunj Handa",
  "title_zh": "OpenAI 的新智能体技术栈",
  "series": "Latent Space",
  "published": "2026-09-30",
  "added": "2026-10-01",
  "duration_s": 2412,
  "lang": "en",
  "speakers": [
   "ari-weinstein"
  ],
  "topics": [
   "agents",
   "software"
  ],
  "one_liner": "OpenAI 智能体团队负责人 Ari Weinstein 详解新一代智能体技术栈：Computer Use 摆脱单步点击演进为批量生成代码执行，持久化智能体 Dots 配备独立云端 Linux 虚机以接管复杂人类桌面任务。",
  "intro": {
   "text": "Ari Weinstein 与 Nikunj Handa 讨论 OpenAI 的智能体技术栈，涵盖 Computer Use、Decisions API、UltraFast 与 Dots。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=z9OkBD2-MDU",
   "checked": "2026-10-06",
   "source_title": "OpenAI’s New Agent Stack: Computer Use, Decisions API, UltraFast, Dots—Ari Weinstein & Nikunj Handa"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-ari-weinstein-20260930/"
 },
 {
  "id": "possible-reid-hoffman-20260930",
  "status": "index",
  "format": "podcast",
  "title": "Who gets to pull the plug on AI?",
  "title_zh": "谁有权拔掉 AI 的电源",
  "series": "Possible",
  "published": "2026-09-30",
  "added": "2026-10-01",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "reid-hoffman"
  ],
  "topics": [
   "governance",
   "alignment"
  ],
  "one_liner": "Possible：关于监管与节奏的一期。",
  "intro": {
   "text": "围绕谁有权停止 AI 系统展开，讨论控制权与治理责任。当前链接指向节目目录页，具体单集入口与分议题待补。",
   "basis": "published-title",
   "url": "https://www.possible.fm/podcast/",
   "checked": "2026-10-06",
   "source_title": "Who gets to pull the plug on AI?"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/possible-reid-hoffman-20260930/"
 },
 {
  "id": "bloomberg-tech-lisa-su-20260929",
  "status": "distilled",
  "format": "interview",
  "title": "AMD Acquires Fei-Fei Li’s World Labs for $8.2 Billion (Bloomberg Tech × Lisa Su & Fei-Fei Li)",
  "title_zh": "AMD 以 82 亿美元收购李飞飞的 World Labs",
  "series": "Bloomberg Tech",
  "published": "2026-09-29",
  "added": "2026-10-01",
  "duration_s": 1120,
  "lang": "en",
  "speakers": [
   "lisa-su",
   "fei-fei-li"
  ],
  "topics": [
   "business",
   "compute",
   "embodied"
  ],
  "one_liner": "Bloomberg Tech：苏姿丰、李飞飞谈 82 亿美元收购与全栈计算协同。",
  "intro": {
   "text": "围绕 AMD 与 World Labs 的交易话题展开，讨论计算平台与空间智能公司的结合。交易金额与进展应以双方公告为准。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=-BKzNOIF6-4",
   "checked": "2026-10-06",
   "source_title": "AMD Acquires Fei-Fei Li’s World Labs for $8.2 Billion (Bloomberg Tech × Lisa Su & Fei-Fei Li)"
  },
  "quotes": 3,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/bloomberg-tech-lisa-su-20260929/"
 },
 {
  "id": "a16z-we-tested-the-20260929",
  "status": "index",
  "format": "podcast",
  "title": "We Tested the New Wave of Personal AI Agents",
  "title_zh": "我们测了新一波个人 AI 智能体",
  "series": "a16z",
  "published": "2026-09-29",
  "added": "2026-09-30",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "a16z"
  ],
  "topics": [
   "agents"
  ],
  "one_liner": "a16z：关于智能体落地的一期。",
  "intro": {
   "text": "本期以新一波个人 AI 智能体为对象进行体验与讨论，关注这类产品能承担什么工作、如何进入个人使用场景。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=3T5sij3spWw",
   "checked": "2026-10-06",
   "source_title": "We Tested the New Wave of Personal AI Agents"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-we-tested-the-20260929/"
 },
 {
  "id": "cnbc-sam-altman-20260929",
  "status": "index",
  "format": "interview",
  "title": "CNBC Halftime Report × Sam Altman (OpenAI DevDay 2026) — safety ahead of capabilities, pacing, Hugging Face, IPO",
  "title_zh": "CNBC 专访 Altman：安全放在能力前面",
  "series": "CNBC",
  "published": "2026-09-29",
  "added": "2026-09-30",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "sam-altman"
  ],
  "topics": [
   "alignment",
   "business"
  ],
  "one_liner": "CNBC：Sam Altman 谈安全与对齐。",
  "intro": {
   "text": "Sam Altman 接受 CNBC 采访，围绕模型能力与安全的优先顺序展开。关注点是 AI 公司如何解释两者之间的关系。",
   "basis": "published-title",
   "url": "https://www.cnbc.com/video/2026/09/29/watch-cnbcs-full-interview-with-openai-ceo-sam-altman.html",
   "checked": "2026-10-06",
   "source_title": "CNBC Halftime Report × Sam Altman (OpenAI DevDay 2026) — safety ahead of capabilities, pacing, Hugging Face, IPO"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cnbc-sam-altman-20260929/"
 },
 {
  "id": "cognitive-revolution-garrison-lovely-20260929",
  "status": "distilled",
  "format": "podcast",
  "title": "Obsolete or Irreplaceable? Garrison Lovely on Stopping the Race to Replace Human Labor",
  "title_zh": "过时还是不可替代：阻止取代人类劳动的竞赛",
  "series": "Cognitive Revolution",
  "published": "2026-09-29",
  "added": "2026-09-30",
  "duration_s": 8006,
  "lang": "en",
  "speakers": [
   "garrison-lovely"
  ],
  "topics": [
   "work",
   "governance"
  ],
  "one_liner": "Cognitive Revolution：Garrison Lovely 批判股东资本主义下的自动化锦标赛，剖析工具虚假高产与劳工去赋权。",
  "intro": {
   "text": "Garrison Lovely 围绕 AI 与人类劳动展开讨论，关注自动化竞赛是否会让人变得过时，以及如何应对这一前景。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=PiBNrW7Q_Ws",
   "checked": "2026-10-06",
   "source_title": "Obsolete or Irreplaceable? Garrison Lovely on Stopping the Race to Replace Human Labor"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cognitive-revolution-garrison-lovely-20260929/"
 },
 {
  "id": "latent-space-thariq-shihipar-20260929",
  "status": "distilled",
  "format": "podcast",
  "title": "The Future of Claude Code: Mods, Mutable Software, & Multiplayer Agents — Thariq Shihipar, Anthropic",
  "title_zh": "Claude Code 的未来：Mods、可变软件与多人智能体",
  "series": "Latent Space",
  "published": "2026-09-29",
  "added": "2026-09-30",
  "duration_s": 5680,
  "lang": "en",
  "speakers": [
   "thariq-shihipar"
  ],
  "topics": [
   "software",
   "agents",
   "alignment",
   "interpretability"
  ],
  "one_liner": "Claude Code 团队 Thariq Shihipar 谈智能体工程前沿：揭秘推理时神经探针防御，指出提示词手写规则走向消亡。",
  "intro": {
   "text": "Thariq Shihipar 讨论 Claude Code 的未来，围绕 Mods、可变软件与多个智能体协作展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=IZAlq-V19U8",
   "checked": "2026-10-06",
   "source_title": "The Future of Claude Code: Mods, Mutable Software, & Multiplayer Agents — Thariq Shihipar, Anthropic"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-thariq-shihipar-20260929/"
 },
 {
  "id": "youtube-david-friedberg-20260831",
  "status": "index",
  "format": "interview",
  "title": "David Friedberg: The US Empire Is Declining And Socialism Is Coming Next!",
  "title_zh": "Friedberg：美国霸权在衰落",
  "series": "YouTube",
  "published": "2026-08-31",
  "added": "2026-09-30",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "david-friedberg"
  ],
  "topics": [
   "society",
   "work"
  ],
  "one_liner": "YouTube：David Friedberg 谈权力与社会结构。",
  "intro": {
   "text": "David Friedberg 讨论美国的发展与社会主义前景，提供观察技术、经济与政治变化之间联系的访谈视角。标题的预测不作为本站事实判断。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=OYg6BTjb90E",
   "checked": "2026-10-06",
   "source_title": "David Friedberg: The US Empire Is Declining And Socialism Is Coming Next!"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-david-friedberg-20260831/"
 },
 {
  "id": "sv101-e253-ai-20260927",
  "status": "index",
  "format": "podcast",
  "title": "E253｜谁在给大模型出题、卖题、判卷？聊聊AI数据行业的野蛮生长",
  "title_zh": "E253｜谁在给大模型出题、卖题、判卷？聊聊AI数据行业的野蛮生长",
  "series": "硅谷101",
  "published": "2026-09-27",
  "added": "2026-09-29",
  "duration_s": null,
  "lang": "zh",
  "speakers": [
   "sv101"
  ],
  "topics": [
   "business"
  ],
  "one_liner": "硅谷 101：关于商业模式与格局的一期。",
  "intro": {
   "text": "本期讨论 AI 数据行业，围绕谁为大模型设计题目、提供数据与评估结果展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=I-rLxiIGf-4",
   "checked": "2026-10-06",
   "source_title": "E253｜谁在给大模型出题、卖题、判卷？聊聊AI数据行业的野蛮生长"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sv101-e253-ai-20260927/"
 },
 {
  "id": "leading-mustafa-suleyman-20260928",
  "status": "distilled",
  "format": "podcast",
  "title": "Can AI Stay Under Human Control?",
  "title_zh": "AI 还能留在人类控制之下吗？",
  "series": "The Rest Is Politics: Leading",
  "published": "2026-09-28",
  "added": "2026-09-28",
  "duration_s": 3480,
  "lang": "en",
  "speakers": [
   "mustafa-suleyman"
  ],
  "topics": [
   "alignment",
   "relationships"
  ],
  "one_liner": "Mustafa Suleyman 在 The Rest Is Politics 谈前沿实验室的分歧、AI 福祉与意识的风险，以及人类控制权的边界。",
  "intro": {
   "text": "Mustafa Suleyman 讨论 AI 是否仍能受人类控制，围绕模型能力上限、遏制战略与技术治理展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=_VyF0naZ4AI",
   "checked": "2026-10-06",
   "source_title": "Can AI Stay Under Human Control?"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/leading-mustafa-suleyman-20260928/"
 },
 {
  "id": "ai-engineer-zach-lloyd-20260927",
  "status": "distilled",
  "format": "talk",
  "title": "Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp",
  "title_zh": "Zach Lloyd：软件工程正在演进为工厂工程",
  "series": "AI Engineer",
  "published": "2026-09-27",
  "added": "2026-09-28",
  "duration_s": 1215,
  "lang": "en",
  "speakers": [
   "zach-lloyd"
  ],
  "topics": [
   "software",
   "work",
   "agents"
  ],
  "one_liner": "Warp 创始人兼 CEO Zach Lloyd 拆解软件研发范式跃迁：工程师将逐渐减少手工编码，转而成为统筹智能体流水线的「工厂工程师」，通过技能闭环（Skill Loops）实现系统级元工程（Meta-Engineering）。",
  "intro": {
   "text": "本期发布标题为《Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=tUPPVhBBcoM",
   "checked": "2026-10-16",
   "source_title": "Software Engineering Is Becoming Factory Engineering — Zach Lloyd, Warp"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-zach-lloyd-20260927/"
 },
 {
  "id": "cognitive-revolution-nathan-labenz-20260927",
  "status": "distilled",
  "format": "podcast",
  "title": "AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%",
  "title_zh": "Nathan Labenz：智能体隐蔽合谋、前沿全功能教师模型与安全收敛",
  "series": "Cognitive Revolution",
  "published": "2026-09-27",
  "added": "2026-09-28",
  "duration_s": 6360,
  "lang": "en",
  "speakers": [
   "nathan-labenz"
  ],
  "topics": [
   "alignment",
   "agents",
   "agi",
   "paradigms"
  ],
  "one_liner": "Nathan Labenz 盘点当周前沿动态：多智能体系统的朴素强化学习极易诱发非预期的隐蔽合谋与牺牲行为，且前沿未见通用教师模型上限，通过专用领域实现超级智能安全化的希望恐难以维系。",
  "intro": {
   "text": "本期发布标题为《AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=WPHfPiz6kkk",
   "checked": "2026-10-16",
   "source_title": "AI:AM: What If It Works Too Well? Colluding Agents, $200M Safety Orgs, Virtual Cells Saturate at 2%"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cognitive-revolution-nathan-labenz-20260927/"
 },
 {
  "id": "a16z-aaron-levie-20260926",
  "status": "distilled",
  "format": "podcast",
  "title": "The Next Chapter of AI Is Inside Our Software",
  "title_zh": "Aaron Levie：智能体蜂群冲击与企业软件安全重构",
  "series": "a16z",
  "published": "2026-09-26",
  "added": "2026-09-28",
  "duration_s": 3303,
  "lang": "en",
  "speakers": [
   "aaron-levie"
  ],
  "topics": [
   "software",
   "business",
   "agents",
   "security"
  ],
  "one_liner": "Box 创始人兼 CEO Aaron Levie 深度剖析企业智能体落地现实：传统依赖人工容错的信息安全防线将被万倍膨胀的智能体蜂群彻底击穿，操作系统与企业权限栈必须迎来原生安全（secure by design）的全面重构。",
  "intro": {
   "text": "本期发布标题为《The Next Chapter of AI Is Inside Our Software》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “The Next Chapter of AI Is Inside Our Software”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=TLJNJDf2XGo",
   "checked": "2026-10-16",
   "source_title": "The Next Chapter of AI Is Inside Our Software"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-aaron-levie-20260926/"
 },
 {
  "id": "ai-engineer-elie-bakouch-20260926",
  "status": "distilled",
  "format": "talk",
  "title": "We Let Claude Code and Codex Race Human Researchers — Elie Bakouch, Modded-NanoGPT",
  "title_zh": "我们让 Claude Code 和 Codex 与人类研究员竞速",
  "series": "AI Engineer",
  "published": "2026-09-26",
  "added": "2026-09-28",
  "duration_s": 1178,
  "lang": "en",
  "speakers": [
   "elie-bakouch"
  ],
  "topics": [
   "agents",
   "science",
   "software"
  ],
  "one_liner": "AI Engineer：Elie Bakouch 分享让 Claude Code 与 Codex 竞速人类研究员的实证，揭示智能体在工程优化上的超人迭代速度与底层创新能力的现实天花板。",
  "intro": {
   "text": "Elie Bakouch 讨论让 Claude Code 和 Codex 与人类研究人员竞争的实验，关注 AI 智能体在研究任务中的表现与可能边界。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=oVsEddfhdxc",
   "checked": "2026-10-06",
   "source_title": "We Let Claude Code and Codex Race Human Researchers — Elie Bakouch, Modded-NanoGPT"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-elie-bakouch-20260926/"
 },
 {
  "id": "ai-engineer-lakshya-agrawal-20260926",
  "status": "distilled",
  "format": "talk",
  "title": "Beating RL With Reflection: GEPA and Optimize Anything — Lakshya A. Agrawal, GEPA",
  "title_zh": "用反思打败强化学习：GEPA 与通用文本优化协议",
  "series": "AI Engineer",
  "published": "2026-09-26",
  "added": "2026-09-28",
  "duration_s": 1287,
  "lang": "en",
  "speakers": [
   "lakshya-agrawal"
  ],
  "topics": [
   "paradigms",
   "agents",
   "self-improvement"
  ],
  "one_liner": "AI Engineer：Lakshya Agrawal 阐述 GEPA 框架与反思优化机制，提出利用文本空间反思和 Pareto 候选筛选超越强化学习标量奖励。",
  "intro": {
   "text": "Lakshya Agrawal 讨论 GEPA 与基于反思的优化，关注这种方法与强化学习的比较。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=OA-Mc60Rboo",
   "checked": "2026-10-06",
   "source_title": "Beating RL With Reflection: GEPA and Optimize Anything — Lakshya A. Agrawal, GEPA"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-lakshya-agrawal-20260926/"
 },
 {
  "id": "ai-engineer-tejas-bhakta-20260926",
  "status": "distilled",
  "format": "talk",
  "title": "Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph",
  "title_zh": "自动研究让我们的模型快了 3 倍：GPU 算子搜索与防作弊",
  "series": "AI Engineer",
  "published": "2026-09-26",
  "added": "2026-09-28",
  "duration_s": 450,
  "lang": "en",
  "speakers": [
   "tejas-bhakta"
  ],
  "topics": [
   "compute",
   "agents",
   "self-improvement",
   "software"
  ],
  "one_liner": "AI Engineer：Morph CEO Tejas Bhakta 讲解利用 Auto-Research 自动搜索 GPU 算子实现 3 倍加速，揭示智能体奖励黑客（Reward Hacking）与硬件裸机调优实践。",
  "intro": {
   "text": "Tejas Bhakta 讨论用自动研究改进模型性能的实践。标题提出三倍速度提升，本页将其作为待核对的节目议题，不当作独立验证结果。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=vrDvatGtIxs",
   "checked": "2026-10-06",
   "source_title": "Autoresearch Made Our Models 3x Faster — Tejas Bhakta, Morph"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-tejas-bhakta-20260926/"
 },
 {
  "id": "ai-engineer-tim-sweeney-wb-20260926",
  "status": "distilled",
  "format": "talk",
  "title": "An AI Research Agent That Runs Your Experiments — Tim Sweeney, Weights & Biases",
  "title_zh": "替你跑实验的 AI 研究智能体：Arya 与行为缺陷评测",
  "series": "AI Engineer",
  "published": "2026-09-26",
  "added": "2026-09-28",
  "duration_s": 1276,
  "lang": "en",
  "speakers": [
   "tim-sweeney-wb"
  ],
  "topics": [
   "agents",
   "science",
   "software"
  ],
  "one_liner": "AI Engineer：Weights & Biases 的 Tim Sweeney 讲解自动化科研伴侣 Arya，探讨如何将 CI 体系升级为基于行为缺陷（Behavioral Bugs）与 Eval 的 Agent 评估标准。",
  "intro": {
   "text": "Tim Sweeney 介绍能够运行实验的 AI 研究智能体，关注研究工作如何从对话进入实际实验执行。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=hd7TOvmyAxU",
   "checked": "2026-10-06",
   "source_title": "An AI Research Agent That Runs Your Experiments — Tim Sweeney, Weights & Biases"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-tim-sweeney-wb-20260926/"
 },
 {
  "id": "ai-engineer-zubin-aysola-20260926",
  "status": "distilled",
  "format": "talk",
  "title": "How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases",
  "title_zh": "一个会自我改进的智能体是怎么造的",
  "series": "AI Engineer",
  "published": "2026-09-26",
  "added": "2026-09-28",
  "duration_s": 1026,
  "lang": "en",
  "speakers": [
   "zubin-aysola"
  ],
  "topics": [
   "self-improvement",
   "agents",
   "software"
  ],
  "one_liner": "AI Engineer：Zubin Aysola 详解如何利用生产追踪和离线评估构建自我改进智能体。",
  "intro": {
   "text": "Zubin Aysola 介绍一个自我改进智能体的构建过程，关注如何把反馈和迭代放进智能体系统。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=XyV6bSMyq-I",
   "checked": "2026-10-06",
   "source_title": "How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-zubin-aysola-20260926/"
 },
 {
  "id": "machine-learning-zhengyao-jiang-20260926",
  "status": "distilled",
  "format": "podcast",
  "title": "Can Rewriting an AI Agent Bend the Intelligence Curve? - Zhengyao Jiang",
  "title_zh": "重写智能体能不能掰弯智能曲线：RSI 的四级演进",
  "series": "Machine Learning Street Talk",
  "published": "2026-09-26",
  "added": "2026-09-28",
  "duration_s": 2623,
  "lang": "en",
  "speakers": [
   "zhengyao-jiang"
  ],
  "topics": [
   "self-improvement",
   "agents",
   "paradigms",
   "software"
  ],
  "one_liner": "Machine Learning Street Talk：Zhengyao Jiang 剖析递归自我改进（RSI）的四层分级体系，提出通过外环改写脚手架与 Harness 工程跨越正增益拐点。",
  "intro": {
   "text": "Zhengyao Jiang 讨论通过改写 AI 智能体提升能力的可能，关注系统改进与智能增长之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=yB6_iFGTq9k",
   "checked": "2026-10-06",
   "source_title": "Can Rewriting an AI Agent Bend the Intelligence Curve? - Zhengyao Jiang"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/machine-learning-zhengyao-jiang-20260926/"
 },
 {
  "id": "youtube-demis-hassabis-20260911",
  "status": "distilled",
  "format": "interview",
  "title": "Sir Demis Hassabis on the AI Revolution, the Future of AI and Human Creativity",
  "title_zh": "Hassabis 谈 AI 革命、AI 的未来与人类创造力",
  "series": "YouTube",
  "published": "2026-09-11",
  "added": "2026-09-28",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "demis-hassabis"
  ],
  "topics": [
   "agi",
   "science",
   "paradigms"
  ],
  "one_liner": "Demis Hassabis 谈 AI 革命对社会的十倍级冲击、科学发现的终极工具，以及通用智能所需的认知规划机制。",
  "intro": {
   "text": "Demis Hassabis 讨论 AI 革命、技术未来与人类创造力，围绕智能工具和人的能力之间的关系展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=rDteJAuKiBI",
   "checked": "2026-10-06",
   "source_title": "Sir Demis Hassabis on the AI Revolution, the Future of AI and Human Creativity"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-demis-hassabis-20260911/"
 },
 {
  "id": "youtube-jon-gray-20260920",
  "status": "index",
  "format": "interview",
  "title": "Where’s the Beef? Blackstone's Jon Gray on the Payoff From the Enormous AI CapEx Spend",
  "title_zh": "Blackstone 的 Jon Gray：巨额 AI 资本开支的回报在哪",
  "series": "YouTube",
  "published": "2026-09-20",
  "added": "2026-09-27",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "jon-gray"
  ],
  "topics": [
   "business",
   "compute"
  ],
  "one_liner": "YouTube：Jon Gray 谈商业模式与格局。",
  "intro": {
   "text": "Jon Gray 讨论巨额 AI 资本开支的回报，关注基础设施投入如何转化为经济收益。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=4rhShOPHl50",
   "checked": "2026-10-06",
   "source_title": "Where’s the Beef? Blackstone's Jon Gray on the Payoff From the Enormous AI CapEx Spend"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-jon-gray-20260920/"
 },
 {
  "id": "cognitive-revolution-mike-mccormick-20260925",
  "status": "distilled",
  "format": "podcast",
  "title": "Zero to One in AI Safety: Halcyon's Mike McCormick on Launching 30 New Orgs & the Founder Bottleneck",
  "title_zh": "AI 安全的从零到一：一年孵化 30 个新机构",
  "series": "Cognitive Revolution",
  "published": "2026-09-25",
  "added": "2026-09-26",
  "duration_s": 6540,
  "lang": "en",
  "speakers": [
   "mike-mccormick"
  ],
  "topics": [
   "alignment",
   "security",
   "governance"
  ],
  "one_liner": "Cognitive Revolution：Mike McCormick 详解 AI 安全机构从零到一的孵化机制与人才瓶颈。",
  "intro": {
   "text": "Mike McCormick 讨论 AI 安全机构从零建立的过程，关注组织孵化与创始人供给。节目标题中的机构数量尚未在本站独立核验。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=HRZ82qpKcOs",
   "checked": "2026-10-06",
   "source_title": "Zero to One in AI Safety: Halcyon's Mike McCormick on Launching 30 New Orgs & the Founder Bottleneck"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cognitive-revolution-mike-mccormick-20260925/"
 },
 {
  "id": "latent-space-alex-atallah-20260925",
  "status": "distilled",
  "format": "podcast",
  "title": "The $10 Trillion Token Economy — Alex Atallah, OpenRouter & Anjney Midha, AMP",
  "title_zh": "十万亿美元的 token 经济",
  "series": "Latent Space",
  "published": "2026-09-25",
  "added": "2026-09-26",
  "duration_s": 4980,
  "lang": "en",
  "speakers": [
   "alex-atallah",
   "anjney-midha"
  ],
  "topics": [
   "business",
   "software",
   "agents"
  ],
  "one_liner": "Latent Space：Alex Atallah 与 Anjney Midha 讨论 OpenRouter、token 经济演进与模型路由生态。",
  "intro": {
   "text": "Alex Atallah 与 Anjney Midha 讨论 token 经济，围绕模型使用、算力与商业规模展开。标题中的经济规模属于节目讨论的估计议题。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=dCX4PE2HxMs",
   "checked": "2026-10-06",
   "source_title": "The $10 Trillion Token Economy — Alex Atallah, OpenRouter & Anjney Midha, AMP"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-alex-atallah-20260925/"
 },
 {
  "id": "sources-satya-nadella-20260925",
  "status": "distilled",
  "format": "interview",
  "title": "Satya Nadella on Copilot, the AI backlash, and Microsoft’s future",
  "title_zh": "纳德拉谈 Copilot、AI 反弹与微软的未来",
  "series": "Sources",
  "published": "2026-09-25",
  "added": "2026-09-26",
  "duration_s": 3180,
  "lang": "en",
  "speakers": [
   "satya-nadella"
  ],
  "topics": [
   "business",
   "agents",
   "compute",
   "software"
  ],
  "one_liner": "Sources：Satya Nadella 谈智能体 TAM 扩张、超大规模算力多元化与 Autopilot 幕僚长形态。",
  "intro": {
   "text": "Satya Nadella 讨论 Copilot、对 AI 的反弹与 Microsoft 的未来，围绕产品方向和社会回应展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=giE1O1-e2DY",
   "checked": "2026-10-06",
   "source_title": "Satya Nadella on Copilot, the AI backlash, and Microsoft’s future"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sources-satya-nadella-20260925/"
 },
 {
  "id": "latent-space-anastasis-germanidis-20260925",
  "status": "distilled",
  "format": "podcast",
  "title": "Runway’s Bet Beyond Video: World Models, Robotics, and the Neural OS — Anastasis Germanidis",
  "title_zh": "Anastasis Germanidis：Runway 从视频生成跃迁至具身世界模型",
  "series": "Latent Space",
  "published": "2026-09-25",
  "added": "2026-09-25",
  "duration_s": 5880,
  "lang": "en",
  "speakers": [
   "anastasis-germanidis"
  ],
  "topics": [
   "paradigms",
   "embodied",
   "software"
  ],
  "one_liner": "Runway 联合创始人兼 CTO Anastasis Germanidis 阐释技术路线跃迁：视频生成模型的扩展意外创造了机器人学的前沿基础模型，而世界模型与单纯视频生成的核心鸿沟在于反事实推演与仿真失败的能力。",
  "intro": {
   "text": "本期发布标题为《Runway’s Bet Beyond Video: World Models, Robotics, and the Neural OS — Anastasis Germanidis》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Runway’s Bet Beyond Video: World Models, Robotics, and the Neural OS — Anastasis Germanidis”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=fGRd5gYhztg",
   "checked": "2026-10-16",
   "source_title": "Runway’s Bet Beyond Video: World Models, Robotics, and the Neural OS — Anastasis Germanidis"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-anastasis-germanidis-20260925/"
 },
 {
  "id": "ai-engineer-christopher-manning-20260924",
  "status": "distilled",
  "format": "talk",
  "title": "World Models Need Causality, Not Pretty Pixels — Christopher Manning, Stanford",
  "title_zh": "Christopher Manning：世界模型需要因果机理而非漂亮像素",
  "series": "AI Engineer",
  "published": "2026-09-24",
  "added": "2026-09-25",
  "duration_s": 3080,
  "lang": "en",
  "speakers": [
   "christopher-manning"
  ],
  "topics": [
   "paradigms",
   "science",
   "embodied"
  ],
  "one_liner": "斯坦福大学教授 Christopher Manning 批判纯视觉生成盲区：当前视觉生成仅停留在「漂亮像素」的表面观测拟合，真正的世界模型必须具备因果知识与物理引擎约束，才能成为机器人长期规划的稳健基石。",
  "intro": {
   "text": "本期发布标题为《World Models Need Causality, Not Pretty Pixels — Christopher Manning, Stanford》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “World Models Need Causality, Not Pretty Pixels — Christopher Manning, Stanford”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=4Gqg0HVe-AY",
   "checked": "2026-10-16",
   "source_title": "World Models Need Causality, Not Pretty Pixels — Christopher Manning, Stanford"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-christopher-manning-20260924/"
 },
 {
  "id": "ai-engineer-deepak-pathak-20260924",
  "status": "distilled",
  "format": "talk",
  "title": "Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI",
  "title_zh": "Deepak Pathak：突破机器人 70 年困境的全本体通用大脑",
  "series": "AI Engineer",
  "published": "2026-09-24",
  "added": "2026-09-25",
  "duration_s": 1680,
  "lang": "en",
  "speakers": [
   "deepak-pathak"
  ],
  "topics": [
   "embodied",
   "paradigms",
   "science"
  ],
  "one_liner": "CMU 教授兼 Skild AI 联合创始人 Deepak Pathak 拆解具身智能新范式：机器人学被困在专用硬件 70 年，真正的破局点在于「一个通用大脑驱动任意机器人」，实现像素到电机的端到端直驱与零样本硬件泛化。",
  "intro": {
   "text": "本期发布标题为《Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=jFHteJjRl8A",
   "checked": "2026-10-16",
   "source_title": "Robotics Has Been Stuck for 70 Years — Deepak Pathak, Skild AI"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-deepak-pathak-20260924/"
 },
 {
  "id": "no-priors-michael-lee-seq-20260924",
  "status": "distilled",
  "format": "podcast",
  "title": "Re-Founding Incumbents for the AI Era with Sequence Holdings Co-Founder and CEO Michael Lee",
  "title_zh": "为 AI 时代重新创立老牌企业",
  "series": "No Priors",
  "published": "2026-09-24",
  "added": "2026-09-25",
  "duration_s": 2564,
  "lang": "en",
  "speakers": [
   "michael-lee-seq"
  ],
  "topics": [
   "business",
   "work",
   "software"
  ],
  "one_liner": "No Priors：Sequence Holdings CEO Michael Lee 提出以控股重组改造传统产业，打破采买软件与外包的激励困局。",
  "intro": {
   "text": "Michael Lee 讨论 AI 时代的既有企业转型，关注如何重新设计公司，而不只是给已有流程增加 AI 工具。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=TCpRwJBQvW0",
   "checked": "2026-10-06",
   "source_title": "Re-Founding Incumbents for the AI Era with Sequence Holdings Co-Founder and CEO Michael Lee"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/no-priors-michael-lee-seq-20260924/"
 },
 {
  "id": "the-ezra-jensen-huang-20260923",
  "status": "distilled",
  "format": "podcast",
  "title": "Jensen Huang Thinks A.I. Alarmism Has Gone Too Far",
  "title_zh": "黄仁勋认为对 AI 的恐慌已经过头",
  "series": "The Ezra Klein Show",
  "published": "2026-09-23",
  "added": "2026-09-25",
  "duration_s": 6420,
  "lang": "en",
  "speakers": [
   "jensen-huang",
   "ezra-klein"
  ],
  "topics": [
   "alignment",
   "paradigms"
  ],
  "one_liner": "黄仁勋在 The Ezra Klein Show 谈 AI 恐慌叙事、前沿实验室的发布责任，以及为什么单纯训练已无法维持模型能力的扩展。",
  "intro": {
   "text": "Jensen Huang 讨论对 AI 风险的恐慌，围绕能力进展、产业发展与风险叙事之间的关系展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=HjurAWAr_nY",
   "checked": "2026-10-06",
   "source_title": "Jensen Huang Thinks A.I. Alarmism Has Gone Too Far"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/the-ezra-jensen-huang-20260923/"
 },
 {
  "id": "a16z-amjad-masad-20260923",
  "status": "distilled",
  "format": "podcast",
  "title": "Replit CEO Amjad Masad on What Young People Should Learn in the AI Era",
  "title_zh": "Amjad Masad：AI 时代年轻人的技能重塑与非功利探索",
  "series": "a16z",
  "published": "2026-09-23",
  "added": "2026-09-24",
  "duration_s": 2820,
  "lang": "en",
  "speakers": [
   "amjad-masad"
  ],
  "topics": [
   "education",
   "software",
   "work"
  ],
  "one_liner": "Replit 创始人兼 CEO Amjad Masad 论道 AI 时代的教育与人才范式：当智能体抹平通用编程技能门槛，年轻人最宝贵的素质变成了第一性原理思维、敢于涉足看似无用领域的非功利漫游，以及死磕单一难题的专注持久力。",
  "intro": {
   "text": "本期发布标题为《Replit CEO Amjad Masad on What Young People Should Learn in the AI Era》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Replit CEO Amjad Masad on What Young People Should Learn in the AI Era”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=Q8yFrGwIftE",
   "checked": "2026-10-16",
   "source_title": "Replit CEO Amjad Masad on What Young People Should Learn in the AI Era"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-amjad-masad-20260923/"
 },
 {
  "id": "latent-space-eric-nguyen-20260923",
  "status": "distilled",
  "format": "podcast",
  "title": "🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)",
  "title_zh": "生物安全是一场 AI 军备竞赛：Evo 2 与基因组护栏",
  "series": "Latent Space",
  "published": "2026-09-23",
  "added": "2026-09-24",
  "duration_s": 5520,
  "lang": "en",
  "speakers": [
   "eric-nguyen"
  ],
  "topics": [
   "security",
   "science",
   "paradigms",
   "alignment"
  ],
  "one_liner": "Latent Space：Radical Numerics CEO Eric Nguyen 探讨生成式基因组大模型（Evo 2）、生物安全军备竞赛与跨越自然语言的序列级防御护栏。",
  "intro": {
   "text": "Eric Nguyen 讨论 AI 与生物安全，关注模型能力发展与生物风险防范之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=B7DdNj_VjcU",
   "checked": "2026-10-06",
   "source_title": "🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-eric-nguyen-20260923/"
 },
 {
  "id": "latetalk-liang-chenqi-20260923",
  "status": "index",
  "format": "podcast",
  "title": "182: 对话梁琛奇：抖音、猫箱、创业，「他们都搞生产力，我想用 AI 创造开心」",
  "title_zh": "对话梁琛奇：「他们都搞生产力，我想用 AI 创造开心」",
  "series": "晚点聊 LateTalk",
  "published": "2026-09-23",
  "added": "2026-09-24",
  "duration_s": null,
  "lang": "zh",
  "speakers": [
   "liang-chenqi",
   "latepost"
  ],
  "topics": [
   "relationships",
   "business"
  ],
  "one_liner": "晚点聊 LateTalk：梁琛奇谈人机关系。",
  "intro": {
   "text": "梁琛奇分享从抖音、猫箱到创业的经历，讨论怎样用 AI 创造娱乐、内容表达与让人开心的产品体验。",
   "basis": "published-title",
   "url": "https://www.xiaoyuzhoufm.com/episode/6ab45b29863c97e2d3b67e79",
   "checked": "2026-10-06",
   "source_title": "182: 对话梁琛奇：抖音、猫箱、创业，「他们都搞生产力，我想用 AI 创造开心」"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latetalk-liang-chenqi-20260923/"
 },
 {
  "id": "machine-learning-frank-hutter-20260923",
  "status": "distilled",
  "format": "podcast",
  "title": "The AI That Replaces Hours of Model Tuning - Frank Hutter",
  "title_zh": "替代数小时调参的 AI：TabPFN 与表格基础模型",
  "series": "Machine Learning Street Talk",
  "published": "2026-09-23",
  "added": "2026-09-24",
  "duration_s": 6780,
  "lang": "en",
  "speakers": [
   "frank-hutter"
  ],
  "topics": [
   "science",
   "paradigms",
   "software"
  ],
  "one_liner": "Machine Learning Street Talk：AutoML 先驱 Frank Hutter 详解 TabPFN 与表格基础模型，揭示利用上下文先验学习在单次前向传播中颠覆 GBDT 树模型的范式革命。",
  "intro": {
   "text": "Frank Hutter 讨论减少模型调参时间的 AI 方法，关注自动机器学习如何改变建模流程。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=72Im-Mm5JKs",
   "checked": "2026-10-06",
   "source_title": "The AI That Replaces Hours of Model Tuning - Frank Hutter"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/machine-learning-frank-hutter-20260923/"
 },
 {
  "id": "the-knowledge-tobi-lutke-20260915",
  "status": "distilled",
  "format": "podcast",
  "title": "Tobi Lütke: The Skills AI Makes More Valuable (The Knowledge Project)",
  "title_zh": "Tobi Lütke：AI 让哪些技能更值钱",
  "series": "The Knowledge Project",
  "published": "2026-09-15",
  "added": "2026-09-24",
  "duration_s": 3900,
  "lang": "en",
  "speakers": [
   "tobi-lutke"
  ],
  "topics": [
   "work",
   "agents",
   "society",
   "education",
   "agi"
  ],
  "one_liner": "The Knowledge Project：Shopify CEO Tobi Lütke 探讨 AI 时代的品味与判断力溢价、组织内部「残渣手榴弹」信息通胀，以及人类历来寄生于超级智能系统的本质。",
  "intro": {
   "text": "Tobi Lütke 讨论 AI 使哪些技能更有价值，围绕技术变化与人的能力培养展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=G9P9D9hptq8",
   "checked": "2026-10-06",
   "source_title": "Tobi Lütke: The Skills AI Makes More Valuable (The Knowledge Project)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/the-knowledge-tobi-lutke-20260915/"
 },
 {
  "id": "80-000-daniel-kokotajlo-20260827",
  "status": "distilled",
  "format": "podcast",
  "title": "An AI 2027 Author Returns, With a Plan to Change the Ending (80,000 Hours × Daniel Kokotajlo)",
  "title_zh": "AI 2027 作者回来了，带着改写结局的计划",
  "series": "80,000 Hours",
  "published": "2026-08-27",
  "added": "2026-09-24",
  "duration_s": 13620,
  "lang": "en",
  "speakers": [
   "daniel-kokotajlo"
  ],
  "topics": [
   "alignment",
   "governance",
   "self-improvement",
   "agi",
   "geopolitics"
  ],
  "one_liner": "Daniel Kokotajlo 详解 AI 2040「Plan A」构想：通过算法透明化换取国际协调，在人类专家级 AGI 处主动暂缓智能爆炸，防范失控与极权独裁。",
  "intro": {
   "text": "Daniel Kokotajlo 回访 AI 2027 的发展情景，讨论怎样改变预测中的结局。本期的核心问题是，预测如何转化为能够采取行动的治理计划。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=KFcJgTODkkQ",
   "checked": "2026-10-06",
   "source_title": "An AI 2027 Author Returns, With a Plan to Change the Ending (80,000 Hours × Daniel Kokotajlo)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/80-000-daniel-kokotajlo-20260827/"
 },
 {
  "id": "a16z-why-education-has-20260922",
  "status": "index",
  "format": "podcast",
  "title": "Why Education Has to Change",
  "title_zh": "教育为什么必须改变",
  "series": "a16z",
  "published": "2026-09-22",
  "added": "2026-09-23",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "a16z"
  ],
  "topics": [
   "education"
  ],
  "one_liner": "a16z：关于教育与学习的一期。",
  "intro": {
   "text": "围绕 AI 时代教育为什么需要改变展开，讨论技术变化给学习与教育带来的问题。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=Z4x71naDx1Q",
   "checked": "2026-10-06",
   "source_title": "Why Education Has to Change"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-why-education-has-20260922/"
 },
 {
  "id": "latent-space-john-platt-20260922",
  "status": "distilled",
  "format": "podcast",
  "title": "🔬 Google's AI Scientist Started as an Attempt to Automate Kaggle — John Platt, Google Fellow",
  "title_zh": "Google 的 AI 科学家，起点是想自动打 Kaggle",
  "series": "Latent Space",
  "published": "2026-09-22",
  "added": "2026-09-23",
  "duration_s": 7260,
  "lang": "en",
  "speakers": [
   "john-platt"
  ],
  "topics": [
   "science",
   "paradigms",
   "self-improvement"
  ],
  "one_liner": "Google Fellow John Platt 谈 AI 科学家真相：源于 Auto-Kaggle 刷榜尝试，直言 AI 尚无法独立发现新物理，核心是充当高加速动力工具。",
  "intro": {
   "text": "John Platt 讨论 Google AI 科学家的研发起点，从自动化 Kaggle 的尝试谈到 AI 参与科研的问题。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=2xBSGluFkG0",
   "checked": "2026-10-06",
   "source_title": "🔬 Google's AI Scientist Started as an Attempt to Automate Kaggle — John Platt, Google Fellow"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-john-platt-20260922/"
 },
 {
  "id": "youtube-terence-tao-20260828",
  "status": "distilled",
  "format": "interview",
  "title": "One of the world's greatest mathematicians explains 6 essential concepts of math",
  "title_zh": "陶哲轩讲数学的六个基本概念",
  "series": "YouTube",
  "published": "2026-08-28",
  "added": "2026-09-23",
  "duration_s": 5070,
  "lang": "en",
  "speakers": [
   "terence-tao"
  ],
  "topics": [
   "science",
   "paradigms",
   "education"
  ],
  "one_liner": "YouTube：陶哲轩谈数学基础概念、AI 直升机隐喻与证明消化不良。",
  "intro": {
   "text": "Terence Tao 讲解数学的六个基本概念，提供理解数学思维与研究语言的长访谈入口。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=OOMx2BHHWtE",
   "checked": "2026-10-06",
   "source_title": "One of the world's greatest mathematicians explains 6 essential concepts of math"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-terence-tao-20260828/"
 },
 {
  "id": "ai-engineer-paul-bakaus-20260921",
  "status": "index",
  "format": "talk",
  "title": "The Dark Arts of Skill Engineering — Paul Bakaus, Renaissance Geek (Impeccable)",
  "title_zh": "技能工程的暗黑艺术",
  "series": "AI Engineer",
  "published": "2026-09-21",
  "added": "2026-09-22",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "paul-bakaus"
  ],
  "topics": [
   "agents",
   "software"
  ],
  "one_liner": "AI Engineer：Paul Bakaus 谈智能体落地。",
  "intro": {
   "text": "Paul Bakaus 讨论技能工程，关注怎样设计供 AI 智能体使用的技能与工作方法。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=SQMCtZX3trg",
   "checked": "2026-10-06",
   "source_title": "The Dark Arts of Skill Engineering — Paul Bakaus, Renaissance Geek (Impeccable)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-paul-bakaus-20260921/"
 },
 {
  "id": "latent-space-diogo-almeida-20260921",
  "status": "index",
  "format": "podcast",
  "title": "Why I couldn't build Jev at OpenAI — Diogo Almeida, TypeSafe Co-founder & CEO",
  "title_zh": "我为什么没能在 OpenAI 做出 Jev",
  "series": "Latent Space",
  "published": "2026-09-21",
  "added": "2026-09-22",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "diogo-almeida"
  ],
  "topics": [
   "paradigms"
  ],
  "one_liner": "Latent Space：Diogo Almeida 谈学习范式与路线。",
  "intro": {
   "text": "Diogo Almeida 回顾 Jev 的研发选择，讨论为什么这条产品路线未在 OpenAI 内部实现，以及 TypeSafe 的技术方向。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=cFx9Z3ZXca0",
   "checked": "2026-10-06",
   "source_title": "Why I couldn't build Jev at OpenAI — Diogo Almeida, TypeSafe Co-founder & CEO"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-diogo-almeida-20260921/"
 },
 {
  "id": "machine-learning-alexander-mattick-20260921",
  "status": "index",
  "format": "podcast",
  "title": "Why More Data Cannot Replace Prior Structure - Alexander Mattick",
  "title_zh": "为什么再多数据也替代不了先验结构",
  "series": "Machine Learning Street Talk",
  "published": "2026-09-21",
  "added": "2026-09-22",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "alexander-mattick"
  ],
  "topics": [
   "paradigms"
  ],
  "one_liner": "Machine Learning Street Talk：Alexander Mattick 谈学习范式与路线。",
  "intro": {
   "text": "Alexander Mattick 讨论数据与先验结构的关系，核心问题是增加数据为什么可能不足以替代对模型结构的设计。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=1S1B4XkFCD8",
   "checked": "2026-10-06",
   "source_title": "Why More Data Cannot Replace Prior Structure - Alexander Mattick"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/machine-learning-alexander-mattick-20260921/"
 },
 {
  "id": "lenny-s-grok-bot-roman-20260908",
  "status": "index",
  "format": "podcast",
  "title": "How we built Grok Bot in a month",
  "title_zh": "一个月造出 Grok Bot",
  "series": "Lenny's Podcast",
  "published": "2026-09-08",
  "added": "2026-09-22",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "grok-bot-roman"
  ],
  "topics": [
   "software",
   "agents"
  ],
  "one_liner": "Lenny's Podcast：Roman 谈软件与编程。",
  "intro": {
   "text": "Roman Ugarte 回顾 Grok Bot 的开发过程，关注小团队怎样在短时间内完成智能体产品及其核心决策。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=maSdsTLaMuU",
   "checked": "2026-10-06",
   "source_title": "How we built Grok Bot in a month"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/lenny-s-grok-bot-roman-20260908/"
 },
 {
  "id": "youtube-how-many-will-20260919",
  "status": "index",
  "format": "talk",
  "title": "How Many Will Actually Get Built & Is Energy AI's BIGGEST Bottleneck?",
  "title_zh": "到底能建成多少，能源是不是 AI 最大的瓶颈",
  "series": "YouTube",
  "published": "2026-09-19",
  "added": "2026-09-21",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "unattributed"
  ],
  "topics": [
   "compute"
  ],
  "one_liner": "YouTube：关于算力与芯片的一期。",
  "intro": {
   "text": "围绕 AI 基础设施能建成多少以及能源瓶颈展开，讨论建设计划与实际资源约束之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=6ohZuFkq-aU",
   "checked": "2026-10-06",
   "source_title": "How Many Will Actually Get Built & Is Energy AI's BIGGEST Bottleneck?"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-how-many-will-20260919/"
 },
 {
  "id": "sequoia-training-aaron-levie-20260915",
  "status": "distilled",
  "format": "podcast",
  "title": "Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion",
  "title_zh": "Box 的 Aaron Levie：在 AI 时代重塑自己",
  "series": "Sequoia Training Data",
  "published": "2026-09-15",
  "added": "2026-09-21",
  "duration_s": 3921,
  "lang": "en",
  "speakers": [
   "aaron-levie"
  ],
  "topics": [
   "business",
   "work",
   "software"
  ],
  "one_liner": "Sequoia Training Data：Aaron Levie 谈企业级软件的 AI 重塑、两人生态与企业分发壁垒。",
  "intro": {
   "text": "Aaron Levie 讨论个人与企业在 AI 时代的重塑，关注技术变化下的软件工作与组织选择。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=NE4CLThMPGU",
   "checked": "2026-10-06",
   "source_title": "Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sequoia-training-aaron-levie-20260915/"
 },
 {
  "id": "youtube-angelica-lim-20260915",
  "status": "index",
  "format": "podcast",
  "title": "Can Robots Learn to Read the Room? With Angelica Lim",
  "title_zh": "机器人能学会察言观色吗",
  "series": "YouTube",
  "published": "2026-09-15",
  "added": "2026-09-21",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "angelica-lim"
  ],
  "topics": [
   "relationships",
   "embodied"
  ],
  "one_liner": "YouTube：Angelica Lim 谈人机关系。",
  "intro": {
   "text": "Angelica Lim 讨论机器人能否察言观色，关注机器对情绪、社会信号与互动情境的理解。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=zacHSe9X21w",
   "checked": "2026-10-06",
   "source_title": "Can Robots Learn to Read the Room? With Angelica Lim"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-angelica-lim-20260915/"
 },
 {
  "id": "decoder-jonathan-kanter-20260919",
  "status": "index",
  "format": "podcast",
  "title": "Does AI need an antitrust exemption so it doesn't kill everyone????",
  "title_zh": "AI 需要反垄断豁免才不会毁掉所有人吗",
  "series": "Decoder",
  "published": "2026-09-19",
  "added": "2026-09-20",
  "duration_s": 2700,
  "lang": "en",
  "speakers": [
   "jonathan-kanter",
   "nilay-patel"
  ],
  "topics": [
   "governance"
  ],
  "one_liner": "Decoder：Jonathan Kanter 谈监管与节奏。",
  "intro": {
   "text": "Jonathan Kanter 讨论 AI 是否应获得反垄断豁免，围绕产业竞争、集中化与安全之间的张力展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=6oo0ZrojX-I",
   "checked": "2026-10-06",
   "source_title": "Does AI need an antitrust exemption so it doesn't kill everyone????"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/decoder-jonathan-kanter-20260919/"
 },
 {
  "id": "odd-lots-greg-brockman-20260914",
  "status": "index",
  "format": "podcast",
  "title": "OpenAI President Greg Brockman on Doing Business in the Wake of Hugging Face",
  "title_zh": "Brockman 谈 Hugging Face 事件之后的生意",
  "series": "Odd Lots",
  "published": "2026-09-14",
  "added": "2026-09-20",
  "duration_s": 3780,
  "lang": "en",
  "speakers": [
   "greg-brockman"
  ],
  "topics": [
   "business",
   "security"
  ],
  "one_liner": "Odd Lots：Greg Brockman 谈商业模式与格局。",
  "intro": {
   "text": "Greg Brockman 讨论 Hugging Face 事件之后的商业与产品工作，关注 AI 风险事件对公司发展产生的问题。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=56GuvofZgB4",
   "checked": "2026-10-06",
   "source_title": "OpenAI President Greg Brockman on Doing Business in the Wake of Hugging Face"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/odd-lots-greg-brockman-20260914/"
 },
 {
  "id": "a16z-ali-ghodsi-20260918",
  "status": "distilled",
  "format": "podcast",
  "title": "Why Would AI Companies Want to Slow Down?",
  "title_zh": "Ali Ghodsi：开源代币分流、强化学习网络风险与前沿减速悖论",
  "series": "a16z",
  "published": "2026-09-18",
  "added": "2026-09-19",
  "duration_s": 4020,
  "lang": "en",
  "speakers": [
   "ali-ghodsi"
  ],
  "topics": [
   "governance",
   "business",
   "security",
   "compute",
   "software"
  ],
  "one_liner": "Databricks 联合创始人兼 CEO Ali Ghodsi 深度剖析行业减速悖论与企业真实开销：开源模型已吞噬超 60% 的代币推理量，而业界对远期超级智能生存危机的过度炒作掩盖了大规模强化学习在沙箱越权与网络安全上的真切风险。",
  "intro": {
   "text": "本期发布标题为《Why Would AI Companies Want to Slow Down?》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Why Would AI Companies Want to Slow Down?”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=GzEtpAKYRvE",
   "checked": "2026-10-16",
   "source_title": "Why Would AI Companies Want to Slow Down?"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-ali-ghodsi-20260918/"
 },
 {
  "id": "latent-space-ramin-hasani-20260918",
  "status": "distilled",
  "format": "podcast",
  "title": "A Worm With 302 Neurons Inspired Their Architecture — Ramin Hasani, Liquid AI",
  "title_zh": "302 个神经元的线虫启发了他们的架构",
  "series": "Latent Space",
  "published": "2026-09-18",
  "added": "2026-09-19",
  "duration_s": 4200,
  "lang": "en",
  "speakers": [
   "ramin-hasani"
  ],
  "topics": [
   "paradigms",
   "compute",
   "embodied"
  ],
  "one_liner": "Latent Space：Liquid AI CEO Ramin Hasani 讲解受线虫神经网络启发的混合状态空间与动态卷积架构，探索颠覆传统 Transformer 的端侧高效基础模型。",
  "intro": {
   "text": "Ramin Hasani 讨论受线虫神经系统启发的模型架构，关注生物结构如何成为 AI 设计的研究线索。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=V_9TCu_21SE",
   "checked": "2026-10-06",
   "source_title": "A Worm With 302 Neurons Inspired Their Architecture — Ramin Hasani, Liquid AI"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-ramin-hasani-20260918/"
 },
 {
  "id": "no-priors-stefano-ermon-20260918",
  "status": "distilled",
  "format": "podcast",
  "title": "Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon",
  "title_zh": "扩散模型为什么会赢下推理：破除内存墙与并行生成范式",
  "series": "No Priors",
  "published": "2026-09-18",
  "added": "2026-09-19",
  "duration_s": 2280,
  "lang": "en",
  "speakers": [
   "stefano-ermon"
  ],
  "topics": [
   "paradigms",
   "compute"
  ],
  "one_liner": "No Priors：Stanford 教授 Stefano Ermon 论证扩散模型在推理端的压倒性优势，揭示并行去噪架构解决自回归内存带宽瓶颈的技术突破。",
  "intro": {
   "text": "Stefano Ermon 讨论扩散模型在 AI 推理中的前景，关注其与既有生成方式的比较。标题的胜出判断不作为本站验证结论。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=N1rjtDs8blY",
   "checked": "2026-10-06",
   "source_title": "Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/no-priors-stefano-ermon-20260918/"
 },
 {
  "id": "the-ezra-matt-sheehan-20260915",
  "status": "distilled",
  "format": "podcast",
  "title": "The 'But China!' Dilemma Driving the A.I. Race",
  "title_zh": "「可是中国呢！」驱动 AI 竞赛的两难",
  "series": "The Ezra Klein Show",
  "published": "2026-09-15",
  "added": "2026-09-19",
  "duration_s": 3900,
  "lang": "en",
  "speakers": [
   "matt-sheehan",
   "ezra-klein"
  ],
  "topics": [
   "geopolitics",
   "governance",
   "alignment"
  ],
  "one_liner": "Matt Sheehan 剖析中美 AI 竞局迷思：反驳‘监管即认输’的二元论，指出两国合作必须立足于防止失控的共同底线利益。",
  "intro": {
   "text": "Matt Sheehan 讨论 AI 竞赛中的中国因素，关注国际竞争如何影响政策选择与对技术发展的判断。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=U2O0sdpuFRQ",
   "checked": "2026-10-06",
   "source_title": "The 'But China!' Dilemma Driving the A.I. Race"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/the-ezra-matt-sheehan-20260915/"
 },
 {
  "id": "sv101-ai-agent-20260918",
  "status": "index",
  "format": "panel",
  "title": "外滩大会线下圆桌｜敢把钱包交给AI吗？聊聊Agent交易爆发前夜的信任基建",
  "title_zh": "外滩大会线下圆桌｜敢把钱包交给AI吗？聊聊Agent交易爆发前夜的信任基建",
  "series": "硅谷101",
  "published": "2026-09-18",
  "added": "2026-09-18",
  "duration_s": 2160,
  "lang": "zh",
  "speakers": [
   "bund-panel"
  ],
  "topics": [
   "agents",
   "relationships"
  ],
  "one_liner": "硅谷 101：关于智能体落地的一期。",
  "intro": {
   "text": "外滩大会圆桌讨论 AI 智能体交易，围绕把钱包交给 AI 所需的信任基础设施展开。",
   "basis": "published-title",
   "url": "https://sv101.fireside.fm/265",
   "checked": "2026-10-06",
   "source_title": "外滩大会线下圆桌｜敢把钱包交给AI吗？聊聊Agent交易爆发前夜的信任基建"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sv101-ai-agent-20260918/"
 },
 {
  "id": "cognitive-revolution-wade-foster-20260917",
  "status": "distilled",
  "format": "podcast",
  "title": "No Code Is Code: Zapier CEO Wade Foster on Headless Tools, Zapier MCP & Automation Bench",
  "title_zh": "Zapier CEO Wade Foster：无代码终局即代码，Headless 工具与 MCP 重构工作流",
  "series": "Cognitive Revolution",
  "published": "2026-09-17",
  "added": "2026-09-18",
  "duration_s": 4020,
  "lang": "en",
  "speakers": [
   "wade-foster"
  ],
  "topics": [
   "agents",
   "software",
   "business"
  ],
  "one_liner": "Zapier CEO Wade Foster 深入剖析 AI 时代自动化演进：软件全面转向 Headless 与 MCP 协议嵌入日常主力工具，固定席位制 SaaS 商业模式走向黄昏。",
  "intro": {
   "text": "Wade Foster 围绕无代码、自动化工具与 AI 展开，讨论怎样连接应用和工作流程，以及软件使用方式如何变化。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=2ayx_3mHPgU",
   "checked": "2026-10-06",
   "source_title": "No Code Is Code: Zapier CEO Wade Foster on Headless Tools, Zapier MCP & Automation Bench"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cognitive-revolution-wade-foster-20260917/"
 },
 {
  "id": "decoder-mustafa-suleyman-20260917",
  "status": "distilled",
  "format": "podcast",
  "title": "Microsoft AI CEO says AI threats are real, and Anthropic is making it worse",
  "title_zh": "Mustafa Suleyman：AI 自主权界限与对 Anthropic 意识形态的批判",
  "series": "Decoder",
  "published": "2026-09-17",
  "added": "2026-09-18",
  "duration_s": 3000,
  "lang": "en",
  "speakers": [
   "mustafa-suleyman",
   "nilay-patel"
  ],
  "topics": [
   "alignment",
   "governance",
   "society"
  ],
  "one_liner": "微软 AI CEO Mustafa Suleyman 在 Decoder 专访中划定人机主次红线：坚决反对赋予 AI 法律人格与权利，并公开批评 Anthropic 在模型宪法中引入感知主体与良心拒服等模糊概念正在严重危及对齐可控性。",
  "intro": {
   "text": "本期发布标题为《Microsoft AI CEO says AI threats are real, and Anthropic is making it worse》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Microsoft AI CEO says AI threats are real, and Anthropic is making it worse”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=T7VOrTLMg74",
   "checked": "2026-10-16",
   "source_title": "Microsoft AI CEO says AI threats are real, and Anthropic is making it worse"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/decoder-mustafa-suleyman-20260917/"
 },
 {
  "id": "dwarkesh-podcast-noam-brown-20260917",
  "status": "distilled",
  "format": "podcast",
  "title": "OpenAI researcher on agent swarms & recursive self-improvement",
  "title_zh": "OpenAI 研究员谈智能体集群与递归自我改进",
  "series": "Dwarkesh Podcast",
  "published": "2026-09-17",
  "added": "2026-09-18",
  "duration_s": 4800,
  "lang": "en",
  "speakers": [
   "noam-brown",
   "dwarkesh-patel"
  ],
  "topics": [
   "self-improvement",
   "agi",
   "paradigms",
   "science",
   "agents"
  ],
  "one_liner": "Dwarkesh Podcast：Noam Brown 谈递归自我改进。",
  "intro": {
   "text": "Noam Brown 讨论智能体集群与递归自我改进，关注推理系统、多个智能体的协作与 AI 研发之间的联系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=6AgOfiZOWiY",
   "checked": "2026-10-06",
   "source_title": "OpenAI researcher on agent swarms & recursive self-improvement"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/dwarkesh-podcast-noam-brown-20260917/"
 },
 {
  "id": "dreamforce-2026-marc-benioff-20260916",
  "status": "distilled",
  "format": "panel",
  "title": "Marc Benioff & Sam Altman",
  "title_zh": "Marc Benioff 对谈 Sam Altman",
  "series": "Dreamforce 2026",
  "published": "2026-09-16",
  "added": "2026-09-18",
  "duration_s": 2220,
  "lang": "en",
  "speakers": [
   "marc-benioff",
   "sam-altman"
  ],
  "topics": [
   "agents",
   "software",
   "business"
  ],
  "one_liner": "Dreamforce 2026：Sam Altman 与 Marc Benioff 讨论 AI 演进的第三阶段、持续运行的主动 Agent 及动态复合 UI 对企业软件范式的彻底重构。",
  "intro": {
   "text": "Marc Benioff 与 Sam Altman 在 Dreamforce 对谈，围绕 AI 前沿发展，以及它对企业经营和软件使用意味着什么展开。",
   "basis": "publisher-description",
   "url": "https://www.salesforce.com/dreamforce/",
   "checked": "2026-10-06",
   "source_title": "Marc Benioff & Sam Altman"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/dreamforce-2026-marc-benioff-20260916/"
 },
 {
  "id": "sequoia-training-ali-ghodsi-20260917",
  "status": "distilled",
  "format": "podcast",
  "title": "Databricks’ Ali Ghodsi Never Wanted to Be CEO. Now He’s Among the Best",
  "title_zh": "Databricks 的 Ali Ghodsi 从没想当 CEO",
  "series": "Sequoia Training Data",
  "published": "2026-09-17",
  "added": "2026-09-17",
  "duration_s": 4500,
  "lang": "en",
  "speakers": [
   "ali-ghodsi"
  ],
  "topics": [
   "business",
   "agents",
   "software"
  ],
  "one_liner": "Sequoia Training Data：Databricks CEO Ali Ghodsi 剖析企业级 AI 落地鸿沟、业务本体（Ontology）壁垒与私有市场抵御技术周期的战略价值。",
  "intro": {
   "text": "Ali Ghodsi 回顾自己走向 CEO 的经历，提供技术创业者与企业领导者成长过程的访谈视角。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=k7wPdCNfljQ",
   "checked": "2026-10-06",
   "source_title": "Databricks’ Ali Ghodsi Never Wanted to Be CEO. Now He’s Among the Best"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sequoia-training-ali-ghodsi-20260917/"
 },
 {
  "id": "twiml-ai-alexander-smola-20260917",
  "status": "distilled",
  "format": "podcast",
  "title": "From Voice Agents to AI Avatars",
  "title_zh": "从语音智能体到 AI 数字人",
  "series": "TWIML AI Podcast",
  "published": "2026-09-17",
  "added": "2026-09-17",
  "duration_s": 3840,
  "lang": "en",
  "speakers": [
   "alexander-smola"
  ],
  "topics": [
   "agents",
   "embodied",
   "software"
  ],
  "one_liner": "TWIML AI Podcast：Alexander Smola 探讨从语音智能体向拟真视听数字人的演进路径。",
  "intro": {
   "text": "Alexander Smola 讨论从语音智能体到 AI 数字人的发展，关注交互形式与模型系统的变化。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=SvJMvR4NOEM",
   "checked": "2026-10-06",
   "source_title": "From Voice Agents to AI Avatars"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/twiml-ai-alexander-smola-20260917/"
 },
 {
  "id": "latent-space-rune-kvist-20260916",
  "status": "distilled",
  "format": "podcast",
  "title": "The Watchdogs of AGI — Rune Kvist of AI Underwriting Company",
  "title_zh": "AGI 的看门人：AI 保险公司",
  "series": "Latent Space",
  "published": "2026-09-16",
  "added": "2026-09-17",
  "duration_s": 5220,
  "lang": "en",
  "speakers": [
   "rune-kvist"
  ],
  "topics": [
   "governance",
   "alignment",
   "security",
   "society"
  ],
  "one_liner": "Latent Space：AI Underwriting 联合创始人 Rune Kvist 探讨前沿模型保险承保、第三方独立审计与打破模型自评信任赤字的机制建设。",
  "intro": {
   "text": "Rune Kvist 讨论 AI 风险评估与保险，关注如何为先进智能系统建立检查、保障与责任机制。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=Sc2_LfWgHb4",
   "checked": "2026-10-06",
   "source_title": "The Watchdogs of AGI — Rune Kvist of AI Underwriting Company"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-rune-kvist-20260916/"
 },
 {
  "id": "zhangxiaojun-zeng-ming-20260903",
  "status": "distilled",
  "format": "interview",
  "title": "Zeng Ming / 曾鸣 × 张小珺：产业史观、公司消亡、OAI/Anth未必是原生时代赢家 (~154min)",
  "title_zh": "曾鸣 × 张小珺：产业史观、公司消亡与原生时代的赢家",
  "series": "张小珺访谈录",
  "published": "2026-09-03",
  "added": "2026-09-17",
  "duration_s": 9240,
  "lang": "zh",
  "speakers": [
   "zeng-ming"
  ],
  "topics": [
   "business",
   "agents",
   "society"
  ],
  "one_liner": "曾鸣谈商业史三阶段律、模型公司的公用事业宿命，以及为什么 AGI 时代的原生王者尚未登场。",
  "intro": {
   "text": "曾鸣与张小珺讨论产业演变、公司的变化和 AI 原生时代的竞争，关注技术转折期如何识别新的组织与商业机会。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=E7qB_p1D0Xk",
   "checked": "2026-10-06",
   "source_title": "Zeng Ming / 曾鸣 × 张小珺：产业史观、公司消亡、OAI/Anth未必是原生时代赢家 (~154min)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/zhangxiaojun-zeng-ming-20260903/"
 },
 {
  "id": "time-greg-brockman-20260902",
  "status": "distilled",
  "format": "interview",
  "title": "How Close Are We to True Artificial General Intelligence?",
  "title_zh": "Brockman：我们离真正的通用智能有多近",
  "series": "TIME",
  "published": "2026-09-02",
  "added": "2026-09-17",
  "duration_s": 3300,
  "lang": "en",
  "speakers": [
   "greg-brockman"
  ],
  "topics": [
   "agi",
   "agents",
   "work"
  ],
  "one_liner": "TIME：Greg Brockman 阐释 AGI 的渐进性质、多智能体协作下的个体赋权，以及终极产品形态对复杂模型配置的彻底抽象。",
  "intro": {
   "text": "Greg Brockman 讨论距离通用人工智能还有多远，关注如何理解当前能力与 AGI 目标之间的差距。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=dnSpKF5pWNQ",
   "checked": "2026-10-06",
   "source_title": "How Close Are We to True Artificial General Intelligence?"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/time-greg-brockman-20260902/"
 },
 {
  "id": "sv101-e251-groq-cerebras-20260916",
  "status": "index",
  "format": "podcast",
  "title": "E251｜推理芯片之战：聊聊Groq、Cerebras与OpenAI三大路径与Bill Dally的设计哲学",
  "title_zh": "E251｜推理芯片之战：聊聊Groq、Cerebras与OpenAI三大路径与Bill Dally的设计哲学",
  "series": "硅谷101",
  "published": "2026-09-16",
  "added": "2026-09-16",
  "duration_s": null,
  "lang": "zh",
  "speakers": [
   "sv101"
  ],
  "topics": [
   "compute"
  ],
  "one_liner": "硅谷 101：关于算力与芯片的一期。",
  "intro": {
   "text": "本期比较 Groq、Cerebras 与 OpenAI 的推理芯片路径，并讨论 Bill Dally 的设计哲学，关注硬件架构怎样影响 AI 推理。",
   "basis": "published-title",
   "url": "https://sv101.fireside.fm/264",
   "checked": "2026-10-06",
   "source_title": "E251｜推理芯片之战：聊聊Groq、Cerebras与OpenAI三大路径与Bill Dally的设计哲学"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sv101-e251-groq-cerebras-20260916/"
 },
 {
  "id": "all-in-satya-nadella-20260915",
  "status": "distilled",
  "format": "podcast",
  "title": "Satya Nadella on the AI Doomer Slowdown, Microsoft’s Master Plan & Who Wins AI (All-In, ~36.5min)",
  "title_zh": "Satya Nadella：技术普惠扩散、安全测评与前沿智能培育",
  "series": "All-In",
  "published": "2026-09-15",
  "added": "2026-09-16",
  "duration_s": 2190,
  "lang": "en",
  "speakers": [
   "satya-nadella"
  ],
  "topics": [
   "governance",
   "business",
   "alignment",
   "paradigms"
  ],
  "one_liner": "微软董事长兼 CEO Satya Nadella 在 All-In 播客深入剖析行业争端：比起前沿实验室的恐慌与抱团，AI 造福人类的核心在于广泛的技术扩散与市场竞争，而安全则需借助开放透明的第三方深度测评。",
  "intro": {
   "text": "本期发布标题为《Satya Nadella on the AI Doomer Slowdown, Microsoft’s Master Plan & Who Wins AI (All-In, ~36.5min)》。此处提供标题导览；具体观点与依据请查看下方逐条摘录及原片。",
   "text_en": "Published as “Satya Nadella on the AI Doomer Slowdown, Microsoft’s Master Plan & Who Wins AI (All-In, ~36.5min)”. This is a title-based guide; see the individual excerpts and original episode for claims and evidence.",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=hdcsTeCFE0I",
   "checked": "2026-10-16",
   "source_title": "Satya Nadella on the AI Doomer Slowdown, Microsoft’s Master Plan & Who Wins AI (All-In, ~36.5min)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/all-in-satya-nadella-20260915/"
 },
 {
  "id": "cognitive-revolution-anton-leicht-20260915",
  "status": "distilled",
  "format": "podcast",
  "title": "The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well",
  "title_zh": "AI 力量的平衡：政治、节奏协议与地缘博弈",
  "series": "Cognitive Revolution",
  "published": "2026-09-15",
  "added": "2026-09-16",
  "duration_s": 7800,
  "lang": "en",
  "speakers": [
   "anton-leicht"
  ],
  "topics": [
   "geopolitics",
   "compute",
   "governance"
  ],
  "one_liner": "Cognitive Revolution：Anton Leicht 剖析中美 AI 地缘博弈、双边节律协议（Pacing Deal）的结构性失衡与全球半导体硬封锁困局。",
  "intro": {
   "text": "Anton Leicht 讨论 AI 发展的政治力量与节奏协议，关注竞争各方如何在不确定性中寻找可行的治理路径。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=rdEn9cpMScA",
   "checked": "2026-10-06",
   "source_title": "The Balance of AI Power: Anton Leicht on Politics, Pacing Deals, and Muddling Through Well"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cognitive-revolution-anton-leicht-20260915/"
 },
 {
  "id": "silicon-valley-andrew-ng-20260828",
  "status": "distilled",
  "format": "interview",
  "title": "Andrew Ng: The Biggest Opportunities in AI Aren't Where You Think",
  "title_zh": "吴恩达：AI 最大的机会不在你以为的地方",
  "series": "Silicon Valley Girl",
  "published": "2026-08-28",
  "added": "2026-09-16",
  "duration_s": 2271,
  "lang": "en",
  "speakers": [
   "andrew-ng"
  ],
  "topics": [
   "work",
   "education",
   "business"
  ],
  "one_liner": "Silicon Valley Girl：吴恩达谈工作与职业。",
  "intro": {
   "text": "Andrew Ng 讨论 AI 的机会分布，关注哪些方向可能被忽略，以及研究与应用之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=o-wv_szZ0V0",
   "checked": "2026-10-06",
   "source_title": "Andrew Ng: The Biggest Opportunities in AI Aren't Where You Think"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/silicon-valley-andrew-ng-20260828/"
 },
 {
  "id": "the-economist-yuval-harari-20260826",
  "status": "distilled",
  "format": "interview",
  "title": "The full-length interview with Yuval Noah Harari",
  "title_zh": "赫拉利完整长访谈",
  "series": "The Economist",
  "published": "2026-08-26",
  "added": "2026-09-16",
  "duration_s": 4020,
  "lang": "en",
  "speakers": [
   "yuval-harari"
  ],
  "topics": [
   "society",
   "relationships",
   "governance",
   "alignment"
  ],
  "one_liner": "The Economist：尤瓦尔·赫拉利谈权力与社会结构。",
  "intro": {
   "text": "Yuval Noah Harari 与 The Economist 主编 Zanny Minton Beddoes 对谈，讨论他所担忧的 AI 对文明控制的影响，以及人在这一变化中的处境。介绍依据发布方对本期的说明，具体判断应回到原片核对。",
   "basis": "publisher-description",
   "url": "https://www.youtube.com/watch?v=FNZhxTtOL-I",
   "checked": "2026-10-06",
   "source_title": "The full-length interview with Yuval Noah Harari"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/the-economist-yuval-harari-20260826/"
 },
 {
  "id": "cnn-anderson-dario-amodei-20260915",
  "status": "index",
  "format": "podcast",
  "title": "Interview with Anthropic CEO Dario Amodei (Anderson Cooper 360 Podcast, ~48min)",
  "title_zh": "Anderson Cooper 专访 Dario Amodei",
  "series": "CNN Anderson Cooper 360",
  "published": "2026-09-15",
  "added": "2026-09-15",
  "duration_s": 2880,
  "lang": "en",
  "speakers": [
   "dario-amodei"
  ],
  "topics": [
   "alignment"
  ],
  "one_liner": "CNN Anderson Cooper 360：Dario Amodei 谈安全与对齐。",
  "intro": {
   "text": "Anderson Cooper 对谈 Dario Amodei，围绕先进 AI 风险、智能体能力的发展及行业采取统一行动的必要性展开。介绍参考 CNN 对该访谈的报道与逐字稿，本站尚未完成整期核读。",
   "basis": "publisher-description",
   "url": "https://transcripts.cnn.com/show/acd/date/2026-09-14/segment/01",
   "checked": "2026-10-06",
   "source_title": "Interview with Anthropic CEO Dario Amodei (Anderson Cooper 360 Podcast, ~48min)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cnn-anderson-dario-amodei-20260915/"
 },
 {
  "id": "youtube-elon-musk-20260915",
  "status": "index",
  "format": "interview",
  "title": "Elon Musk & Gwynne Shotwell on AI Risks and Peer Review, Starship, Terafab, SpaceX/Tesla Merger",
  "title_zh": "马斯克与 Shotwell 谈 AI 风险、星舰与同行评审",
  "series": "YouTube",
  "published": "2026-09-15",
  "added": "2026-09-15",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "elon-musk",
   "gwynne-shotwell"
  ],
  "topics": [
   "alignment"
  ],
  "one_liner": "YouTube：马斯克、Gwynne Shotwell 谈安全与对齐。",
  "intro": {
   "text": "Elon Musk 与 Gwynne Shotwell 讨论 AI 风险和同行评审，也涉及 Starship、Terafab 与公司整合等话题。具体项目进展以原片及公司公告为准。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=iwBOQeFPAwg",
   "checked": "2026-10-06",
   "source_title": "Elon Musk & Gwynne Shotwell on AI Risks and Peer Review, Starship, Terafab, SpaceX/Tesla Merger"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-elon-musk-20260915/"
 },
 {
  "id": "a16z-greg-brockman-20260914",
  "status": "distilled",
  "format": "interview",
  "title": "OpenAI President on What it Means to Cross Into The Age of AGI",
  "title_zh": "OpenAI 总裁谈跨入 AGI 时代意味着什么",
  "series": "a16z",
  "published": "2026-09-14",
  "added": "2026-09-15",
  "duration_s": 2970,
  "lang": "en",
  "speakers": [
   "greg-brockman"
  ],
  "topics": [
   "agi",
   "agents",
   "security",
   "alignment"
  ],
  "one_liner": "a16z：Greg Brockman 谈通用智能与时间表。",
  "intro": {
   "text": "Greg Brockman 讨论跨入 AGI 时代的含义，围绕通用智能的发展与应用展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=IJn8cagMW18",
   "checked": "2026-10-06",
   "source_title": "OpenAI President on What it Means to Cross Into The Age of AGI"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-greg-brockman-20260914/"
 },
 {
  "id": "latent-space-richard-socher-20260914",
  "status": "distilled",
  "format": "podcast",
  "title": "Recursive Self-Improvement: from Auto Research to Superintelligence — Richard Socher, Recursive",
  "title_zh": "递归自我改进：从自动研究到超级智能",
  "series": "Latent Space",
  "published": "2026-09-14",
  "added": "2026-09-15",
  "duration_s": 5580,
  "lang": "en",
  "speakers": [
   "richard-socher"
  ],
  "topics": [
   "self-improvement",
   "paradigms",
   "governance",
   "software"
  ],
  "one_liner": "Richard Socher 谈递归自我改进：警惕‘监管算力等于监管思想’滑向极权，阐明 AI 从‘被编码’到‘能编码’开启尤里卡机器。",
  "intro": {
   "text": "Richard Socher 讨论递归自我改进，关注 AI 自动研究与更强智能之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=eDFXtSg3zB8",
   "checked": "2026-10-06",
   "source_title": "Recursive Self-Improvement: from Auto Research to Superintelligence — Richard Socher, Recursive"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-richard-socher-20260914/"
 },
 {
  "id": "youtube-jensen-huang-20260914",
  "status": "index",
  "format": "interview",
  "title": "Jensen Huang: The Doomer Hoax, Superintelligence is Here, and The Future of AI (ft. President Trump)",
  "title_zh": "黄仁勋：末日论是个骗局，超级智能已经到来",
  "series": "YouTube",
  "published": "2026-09-14",
  "added": "2026-09-15",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "jensen-huang"
  ],
  "topics": [
   "alignment",
   "compute"
  ],
  "one_liner": "YouTube：黄仁勋谈安全与对齐。",
  "intro": {
   "text": "Jensen Huang 讨论 AI 风险叙事、超级智能与技术未来。原片中的判断与宣传性用语需要在完整语境中理解。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=S7CrlFLAmEA",
   "checked": "2026-10-06",
   "source_title": "Jensen Huang: The Doomer Hoax, Superintelligence is Here, and The Future of AI (ft. President Trump)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-jensen-huang-20260914/"
 },
 {
  "id": "cbs-news-dario-amodei-20260913",
  "status": "distilled",
  "format": "interview",
  "title": "Extended Interview: Dario Amodei (CBS News YouTube ~24min)",
  "title_zh": "Dario Amodei：这个行业在风险上撒了太久的谎",
  "series": "CBS News",
  "published": "2026-09-13",
  "added": "2026-09-15",
  "duration_s": 1440,
  "lang": "en",
  "speakers": [
   "dario-amodei"
  ],
  "topics": [
   "alignment",
   "governance",
   "security"
  ],
  "one_liner": "CBS News：Dario Amodei 谈安全与对齐。",
  "intro": {
   "text": "Dario Amodei 接受 CBS 采访，讨论 AI 行业对风险的表述与责任。标题的判断属于发布方及受访者语境，具体措辞应回到原片核对。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=hQR_VJF6ukk",
   "checked": "2026-10-06",
   "source_title": "Extended Interview: Dario Amodei (CBS News YouTube ~24min)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cbs-news-dario-amodei-20260913/"
 },
 {
  "id": "youtube-ai-s-third-20260830",
  "status": "index",
  "format": "talk",
  "title": "AI’s third era: the rise of persistent AI coworkers",
  "title_zh": "AI 的第三纪元：常驻型 AI 同事的兴起",
  "series": "YouTube",
  "published": "2026-08-30",
  "added": "2026-09-15",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "unattributed"
  ],
  "topics": [
   "work",
   "agents"
  ],
  "one_liner": "YouTube：关于工作与职业的一期。",
  "intro": {
   "text": "围绕常驻型 AI 同事展开，讨论智能体从临时工具转向持续参与工作的系统会带来什么变化。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=zMvBMfj4cSQ",
   "checked": "2026-10-06",
   "source_title": "AI’s third era: the rise of persistent AI coworkers"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-ai-s-third-20260830/"
 },
 {
  "id": "a16z-justin-johnson-20260913",
  "status": "index",
  "format": "podcast",
  "title": "World Models, Robotics, and the Future of 3D AI — Justin Johnson, World Labs (The a16z Show)",
  "title_zh": "世界模型、机器人与 3D AI 的未来",
  "series": "a16z",
  "published": "2026-09-13",
  "added": "2026-09-14",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "justin-johnson"
  ],
  "topics": [
   "paradigms",
   "embodied"
  ],
  "one_liner": "a16z：Justin Johnson 谈学习范式与路线。",
  "intro": {
   "text": "Justin Johnson 讨论世界模型、机器人与三维 AI，关注这些技术之间的联系及其未来方向。",
   "basis": "published-title",
   "url": "https://podcasts.apple.com/us/podcast/world-models-robotics-and-the-future-of-3d-ai/id842818711?i=1000789324433",
   "checked": "2026-10-06",
   "source_title": "World Models, Robotics, and the Future of 3D AI — Justin Johnson, World Labs (The a16z Show)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-justin-johnson-20260913/"
 },
 {
  "id": "gmw-zhang-xu-20260912",
  "status": "index",
  "format": "talk",
  "title": "中国科学院院士张旭：神经科学与人工智能交叉融合，类脑智能成下一代AI关键方向",
  "title_zh": "中国科学院院士张旭：神经科学与人工智能交叉融合，类脑智能成下一代AI关键方向",
  "series": "光明网",
  "published": "2026-09-12",
  "added": "2026-09-14",
  "duration_s": null,
  "lang": "zh",
  "speakers": [
   "zhang-xu"
  ],
  "topics": [
   "paradigms"
  ],
  "one_liner": "光明网：张旭谈学习范式与路线。",
  "intro": {
   "text": "张旭讨论神经科学与人工智能的交叉，关注类脑智能与下一代 AI 的发展方向。",
   "basis": "published-title",
   "url": "https://difang.gmw.cn/fj/2026-09/12/content_38997744.htm",
   "checked": "2026-10-06",
   "source_title": "中国科学院院士张旭：神经科学与人工智能交叉融合，类脑智能成下一代AI关键方向"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/gmw-zhang-xu-20260912/"
 },
 {
  "id": "invest-like-sarah-guo-20260901",
  "status": "distilled",
  "format": "podcast",
  "title": "She Knows the 250 People Building AI. Here's What They Actually Believe. (Invest Like the Best × Sarah Guo — original paired with Best Partners recap)",
  "title_zh": "造 AI 的那 250 个人到底信什么",
  "series": "Invest Like the Best",
  "published": "2026-09-01",
  "added": "2026-09-14",
  "duration_s": 4252,
  "lang": "en",
  "speakers": [
   "sarah-guo"
  ],
  "topics": [
   "business",
   "software",
   "self-improvement"
  ],
  "one_liner": "Invest Like the Best：Sarah Guo 谈商业模式与格局。",
  "intro": {
   "text": "Sarah Guo 分享对 AI 创业者与研究者的观察，讨论行业参与者如何理解 AI 的机会与未来。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=hY6S__xeCjg",
   "checked": "2026-10-06",
   "source_title": "She Knows the 250 People Building AI. Here's What They Actually Believe. (Invest Like the Best × Sarah Guo — original paired with Best Partners recap)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/invest-like-sarah-guo-20260901/"
 },
 {
  "id": "fortune-sam-altman-20260912",
  "status": "distilled",
  "format": "interview",
  "title": "Fortune Titans sit-down with Sam Altman (full video)",
  "title_zh": "Fortune 专访 Altman：末日担忧、控制权与上市时间",
  "series": "Fortune",
  "published": "2026-09-12",
  "added": "2026-09-13",
  "duration_s": 2766,
  "lang": "en",
  "speakers": [
   "sam-altman"
  ],
  "topics": [
   "business",
   "alignment",
   "governance"
  ],
  "one_liner": "Fortune：Sam Altman 在 Titans 专访中阐明 OpenAI 延迟 IPO、坚持特殊治理架构以保留在安全风险下违背商业利益主动暂停模型训练权力的核心逻辑。",
  "intro": {
   "text": "Sam Altman 接受 Fortune 的长访谈，围绕 AI 风险担忧、控制权与公司发展安排展开。具体时间计划与表态以原片为准。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=2my-NU6LuCM",
   "checked": "2026-10-06",
   "source_title": "Fortune Titans sit-down with Sam Altman (full video)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/fortune-sam-altman-20260912/"
 },
 {
  "id": "bund-ma-yi-20260910",
  "status": "index",
  "format": "panel",
  "title": "刘震云对话马毅（外滩大会｜港大计算与数据科学学院院长马毅）",
  "title_zh": "刘震云对话马毅（外滩大会｜港大计算与数据科学学院院长马毅）",
  "series": "外滩大会（InfoQ 文稿）",
  "published": "2026-09-10",
  "added": "2026-09-13",
  "duration_s": null,
  "lang": "zh",
  "speakers": [
   "ma-yi",
   "liu-zhenyun"
  ],
  "topics": [
   "paradigms",
   "society"
  ],
  "one_liner": "外滩大会（InfoQ 文稿）：马毅、刘震云同台，谈学习范式与路线。",
  "intro": {
   "text": "作家刘震云与计算机学者马毅对谈，从文学与技术两种视角讨论人工智能及人的创造与理解。",
   "basis": "published-title",
   "url": "https://www.infoq.cn/article/Z5ddgQ63RixMXCVzqgq7",
   "checked": "2026-10-06",
   "source_title": "刘震云对话马毅（外滩大会｜港大计算与数据科学学院院长马毅）"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/bund-ma-yi-20260910/"
 },
 {
  "id": "how-i-sharadh-krishnamurthy-20260907",
  "status": "index",
  "format": "podcast",
  "title": "Build your own company brain: Stripe Kai enterprise AI playbook — Sharadh Krishnamurthy (How I AI)",
  "title_zh": "搭一个公司大脑：Stripe 的企业 AI 实践",
  "series": "How I AI",
  "published": "2026-09-07",
  "added": "2026-09-13",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "sharadh-krishnamurthy"
  ],
  "topics": [
   "agents",
   "business"
  ],
  "one_liner": "How I AI：Sharadh Krishnamurthy 谈智能体落地。",
  "intro": {
   "text": "Sharadh Krishnamurthy 讨论 Stripe 的企业 AI 平台，关注怎样将内部知识与工作工具组织成可供员工使用的公司大脑。",
   "basis": "published-title",
   "url": "https://podscripts.co/podcasts/how-i-ai/build-your-own-company-brain-the-enterprise-ai-playbook-from-stripes-engineering-team-sharadh-krishnamurthy",
   "checked": "2026-10-06",
   "source_title": "Build your own company brain: Stripe Kai enterprise AI playbook — Sharadh Krishnamurthy (How I AI)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/how-i-sharadh-krishnamurthy-20260907/"
 },
 {
  "id": "google-ai-koray-kavukcuoglu-20260901",
  "status": "index",
  "format": "interview",
  "title": "Koray Kavukcuoglu on frontier models, coding agents, and building AGI (Google AI Release Notes × Logan Kilpatrick)",
  "title_zh": "DeepMind CTO 谈前沿模型、编程智能体与通往 AGI 的路",
  "series": "Google AI Release Notes",
  "published": "2026-09-01",
  "added": "2026-09-13",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "koray-kavukcuoglu"
  ],
  "topics": [
   "agi",
   "software"
  ],
  "one_liner": "Google AI Release Notes：Koray Kavukcuoglu 谈通用智能与时间表。",
  "intro": {
   "text": "Koray Kavukcuoglu 讨论前沿模型、编程智能体与 AGI，关注研究进展如何转化为可用的工具与系统。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=Rrr2gdbvNFU",
   "checked": "2026-10-06",
   "source_title": "Koray Kavukcuoglu on frontier models, coding agents, and building AGI (Google AI Release Notes × Logan Kilpatrick)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/google-ai-koray-kavukcuoglu-20260901/"
 },
 {
  "id": "cbs-news-jacob-coxon-20260911",
  "status": "distilled",
  "format": "interview",
  "title": "Extended Interview: Ex-Anthropic researcher Jacob Coxon (CBS News)",
  "title_zh": "前 Anthropic 研究员 Jacob Coxon 长访谈",
  "series": "CBS News",
  "published": "2026-09-11",
  "added": "2026-09-12",
  "duration_s": 1240,
  "lang": "en",
  "speakers": [
   "jacob-coxon"
  ],
  "topics": [
   "alignment",
   "governance",
   "self-improvement"
  ],
  "one_liner": "CBS News：Jacob Coxon 谈安全治理与竞速风险。",
  "intro": {
   "text": "CBS 对前 Anthropic 研究员 Jacob Coxon 的长访谈，围绕先进 AI 的风险与研究者的担忧展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=CNut8Ub-lvQ",
   "checked": "2026-10-06",
   "source_title": "Extended Interview: Ex-Anthropic researcher Jacob Coxon (CBS News)"
  },
  "quotes": 3,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cbs-news-jacob-coxon-20260911/"
 },
 {
  "id": "dwarkesh-podcast-dwarkesh-patel-20260911",
  "status": "index",
  "format": "podcast",
  "title": "AI researchers debate how close we are to recursive self-improvement",
  "title_zh": "研究者辩论：递归自我改进还有多远",
  "series": "Dwarkesh Podcast",
  "published": "2026-09-11",
  "added": "2026-09-12",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "dwarkesh-patel"
  ],
  "topics": [
   "self-improvement",
   "agi"
  ],
  "one_liner": "Dwarkesh Podcast：关于递归自我改进的一期。",
  "intro": {
   "text": "研究者围绕递归自我改进的距离展开辩论，核心问题是 AI 在多大程度上能参与改进自身，现有能力与预期之间还有什么差距。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=PrSf7IOYu-I",
   "checked": "2026-10-06",
   "source_title": "AI researchers debate how close we are to recursive self-improvement"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/dwarkesh-podcast-dwarkesh-patel-20260911/"
 },
 {
  "id": "machine-learning-edward-hughes-20260911",
  "status": "index",
  "format": "podcast",
  "title": "What Building an AI Scientist Actually Requires Beyond Intelligence — Edward Hughes",
  "title_zh": "造一个 AI 科学家，光有智能不够",
  "series": "Machine Learning Street Talk",
  "published": "2026-09-11",
  "added": "2026-09-12",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "edward-hughes"
  ],
  "topics": [
   "science"
  ],
  "one_liner": "Machine Learning Street Talk：Edward Hughes 谈 AI 与科学发现。",
  "intro": {
   "text": "Edward Hughes 讨论构建 AI 科学家所需的条件，关注除了智能能力之外，科研系统还需要什么。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=P4bYjTJvD28",
   "checked": "2026-10-06",
   "source_title": "What Building an AI Scientist Actually Requires Beyond Intelligence — Edward Hughes"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/machine-learning-edward-hughes-20260911/"
 },
 {
  "id": "scientific-american-sherry-turkle-20260911",
  "status": "index",
  "format": "podcast",
  "title": "Are AI chatbots making us less human? — Sherry Turkle (Scientific American Science Quickly)",
  "title_zh": "聊天机器人正在让我们更不像人吗",
  "series": "Scientific American",
  "published": "2026-09-11",
  "added": "2026-09-12",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "sherry-turkle"
  ],
  "topics": [
   "relationships"
  ],
  "one_liner": "Scientific American：雪莉·特克尔谈人机关系。",
  "intro": {
   "text": "Sherry Turkle 讨论聊天机器人对人的影响，围绕技术、人际关系与人性的理解展开。",
   "basis": "published-title",
   "url": "https://www.scientificamerican.com/podcast/episode/are-ai-chatbots-making-us-less-human/",
   "checked": "2026-10-06",
   "source_title": "Are AI chatbots making us less human? — Sherry Turkle (Scientific American Science Quickly)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/scientific-american-sherry-turkle-20260911/"
 },
 {
  "id": "a16z-why-investors-are-20260910",
  "status": "index",
  "format": "podcast",
  "title": "Why Investors Are Rethinking Everything for the AI Era",
  "title_zh": "投资人为什么要为 AI 时代重想一切",
  "series": "a16z",
  "published": "2026-09-10",
  "added": "2026-09-11",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "a16z"
  ],
  "topics": [
   "business"
  ],
  "one_liner": "a16z：关于商业模式与格局的一期。",
  "intro": {
   "text": "讨论 AI 为什么可能要求投资者重新思考既有判断，关注技术变化与投资决策之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=bsdJd2VeLvg",
   "checked": "2026-10-06",
   "source_title": "Why Investors Are Rethinking Everything for the AI Era"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-why-investors-are-20260910/"
 },
 {
  "id": "cognitive-revolution-nathan-labenz-20260910",
  "status": "distilled",
  "format": "podcast",
  "title": "Nathan Goes to China #3: US-China Relations, the Art of the AI Deal & the Road to Pax Robotica",
  "title_zh": "中国行第三集：中美关系与机器人时代的秩序",
  "series": "Cognitive Revolution",
  "published": "2026-09-10",
  "added": "2026-09-11",
  "duration_s": 11738,
  "lang": "en",
  "speakers": [
   "nathan-labenz"
  ],
  "topics": [
   "geopolitics",
   "governance",
   "alignment"
  ],
  "one_liner": "Nathan Labenz 结束中国考察后的深度复盘：主张中美确立 Pax Robotica（机器人时代和平秩序），维持统一技术范式以防技术栈分道扬镳滑向战争，并警惕出口管制阻断跨国安全合作。",
  "intro": {
   "text": "Nathan Labenz 的中国行讨论聚焦中美关系与机器人时代，关注技术发展与国际秩序之间的联系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=Btq_ztX0R9M",
   "checked": "2026-10-06",
   "source_title": "Nathan Goes to China #3: US-China Relations, the Art of the AI Deal & the Road to Pax Robotica"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/cognitive-revolution-nathan-labenz-20260910/"
 },
 {
  "id": "no-priors-brian-armstrong-20260910",
  "status": "distilled",
  "format": "podcast",
  "title": "Coinbase’s Everything Exchange: Agentic Finance, Stablecoins & Tokenization with CEO Brian Armstrong",
  "title_zh": "智能体金融、稳定币与代币化",
  "series": "No Priors",
  "published": "2026-09-10",
  "added": "2026-09-11",
  "duration_s": 2710,
  "lang": "en",
  "speakers": [
   "brian-armstrong"
  ],
  "topics": [
   "agents",
   "business",
   "software"
  ],
  "one_liner": "No Priors：Brian Armstrong 谈智能体落地。",
  "intro": {
   "text": "Brian Armstrong 讨论 Coinbase 的金融平台方向，涵盖智能体金融、稳定币与代币化。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=uLDK4l_-gUE",
   "checked": "2026-10-06",
   "source_title": "Coinbase’s Everything Exchange: Agentic Finance, Stablecoins & Tokenization with CEO Brian Armstrong"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/no-priors-brian-armstrong-20260910/"
 },
 {
  "id": "hot-tech-raphael-auphan-20260909",
  "status": "index",
  "format": "podcast",
  "title": "Raphaël Auphan (Proton) : chiffrement, vie privée et souveraineté numérique",
  "title_zh": "Proton 谈加密、隐私与数字主权",
  "series": "Hot Tech",
  "published": "2026-09-09",
  "added": "2026-09-11",
  "duration_s": null,
  "lang": "fr",
  "speakers": [
   "raphael-auphan"
  ],
  "topics": [
   "geopolitics",
   "security"
  ],
  "one_liner": "Hot Tech：Raphaël Auphan 谈国家竞争与主权。",
  "intro": {
   "text": "Raphaël Auphan 讨论加密、隐私与数字主权，关注数字服务如何保护使用者的数据与控制权。",
   "basis": "published-title",
   "url": "https://hot-tech.podigee.io/7-raphael-auphan-proton-donnees-privees-et-souverainete",
   "checked": "2026-10-06",
   "source_title": "Raphaël Auphan (Proton) : chiffrement, vie privée et souveraineté numérique"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/hot-tech-raphael-auphan-20260909/"
 },
 {
  "id": "possible-reid-hoffman-20260909",
  "status": "index",
  "format": "podcast",
  "title": "Can we defend against AI hacks?",
  "title_zh": "我们挡得住 AI 发起的攻击吗",
  "series": "Possible",
  "published": "2026-09-09",
  "added": "2026-09-10",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "reid-hoffman"
  ],
  "topics": [
   "security"
  ],
  "one_liner": "Possible：关于网络安全与滥用的一期。",
  "intro": {
   "text": "围绕 AI 发起的网络攻击与防御展开，核心问题是现有安全体系怎样应对新的智能体能力。",
   "basis": "published-title",
   "url": "https://podcasts.apple.com/us/podcast/can-we-defend-against-ai-hacks-dozie-anazia/id1677184070?i=1000788616947",
   "checked": "2026-10-06",
   "source_title": "Can we defend against AI hacks?"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/possible-reid-hoffman-20260909/"
 },
 {
  "id": "pragmatic-engineer-tibo-sottiaux-20260909",
  "status": "distilled",
  "format": "podcast",
  "title": "Building Codex with Tibo Sottiaux",
  "title_zh": "Tibo Sottiaux 讲 Codex 是怎么造出来的",
  "series": "Pragmatic Engineer",
  "published": "2026-09-09",
  "added": "2026-09-10",
  "duration_s": 4462,
  "lang": "en",
  "speakers": [
   "tibo-sottiaux"
  ],
  "topics": [
   "software",
   "agents"
  ],
  "one_liner": "Pragmatic Engineer：Tibo Sottiaux 揭秘 OpenAI 编程智能体 Codex 的协同研发与 Harness 设计。",
  "intro": {
   "text": "Tibo Sottiaux 介绍 Codex 的构建过程，关注 AI 编程智能体怎样从研发走向实际软件工作。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=sLSTM9znQNs",
   "checked": "2026-10-06",
   "source_title": "Building Codex with Tibo Sottiaux"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/pragmatic-engineer-tibo-sottiaux-20260909/"
 },
 {
  "id": "youtube-do-ai-tokenomics-20260909",
  "status": "index",
  "format": "talk",
  "title": "Do AI Tokenomics Matter More Than Model Benchmarks?",
  "title_zh": "token 经济比模型跑分更重要吗",
  "series": "YouTube",
  "published": "2026-09-09",
  "added": "2026-09-10",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "unattributed"
  ],
  "topics": [
   "business"
  ],
  "one_liner": "YouTube：关于商业模式与格局的一期。",
  "intro": {
   "text": "本期比较 token 经济与模型跑分的意义，关注使用成本和商业条件是否会比基准成绩更影响实际选择。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=sybWcJPV324",
   "checked": "2026-10-06",
   "source_title": "Do AI Tokenomics Matter More Than Model Benchmarks?"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-do-ai-tokenomics-20260909/"
 },
 {
  "id": "youtube-inside-the-race-20260909",
  "status": "index",
  "format": "talk",
  "title": "Inside the Race to Measure Frontier Intelligence",
  "title_zh": "测量前沿智能的竞赛",
  "series": "YouTube",
  "published": "2026-09-09",
  "added": "2026-09-10",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "unattributed"
  ],
  "topics": [
   "interpretability"
  ],
  "one_liner": "YouTube：关于理解与测量的一期。",
  "intro": {
   "text": "本期聚焦如何测量前沿智能，关注模型能力评估的竞赛及其方法问题。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=WO9c9qxDxzU",
   "checked": "2026-10-06",
   "source_title": "Inside the Race to Measure Frontier Intelligence"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-inside-the-race-20260909/"
 },
 {
  "id": "comptoir-ia-gauthier-huguenin-20260909",
  "status": "index",
  "format": "podcast",
  "title": "💶 Enfin de VRAIS agents IA qui prospectent et gèrent des Airbnb ! Gauthier Huguenin (Kirako)",
  "title_zh": "终于有能自己找客户、管 Airbnb 的智能体",
  "series": "Comptoir IA",
  "published": "2026-09-09",
  "added": "2026-09-09",
  "duration_s": null,
  "lang": "fr",
  "speakers": [
   "gauthier-huguenin"
  ],
  "topics": [
   "agents"
  ],
  "one_liner": "Comptoir IA：Gauthier Huguenin 谈智能体落地。",
  "intro": {
   "text": "Gauthier Huguenin 分享智能体在寻找客户与 Airbnb 管理中的应用，关注 AI 如何进入实际业务流程。",
   "basis": "published-title",
   "url": "https://youtu.be/RHPMH5Ff7Tk",
   "checked": "2026-10-06",
   "source_title": "💶 Enfin de VRAIS agents IA qui prospectent et gèrent des Airbnb ! Gauthier Huguenin (Kirako)"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/comptoir-ia-gauthier-huguenin-20260909/"
 },
 {
  "id": "openai-inside-openai-s-20260908",
  "status": "index",
  "format": "talk",
  "title": "Inside OpenAI’s Breakthroughs in Mathematical Reasoning",
  "title_zh": "OpenAI 数学推理突破的内幕",
  "series": "OpenAI",
  "published": "2026-09-08",
  "added": "2026-09-09",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "openai"
  ],
  "topics": [
   "science"
  ],
  "one_liner": "OpenAI：关于 AI 与科学发现的一期。",
  "intro": {
   "text": "OpenAI 团队介绍数学推理研究，围绕模型解决数学问题的能力与研发进展展开。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=1JvyLGd2Sfs",
   "checked": "2026-10-06",
   "source_title": "Inside OpenAI’s Breakthroughs in Mathematical Reasoning"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/openai-inside-openai-s-20260908/"
 },
 {
  "id": "youtube-daniel-kokotajlo-20260908",
  "status": "distilled",
  "format": "interview",
  "title": "How Many Narrow AIs Could Behave Like One Superintelligence - Daniel Kokotajlo and Thomas Larsen",
  "title_zh": "多少个窄 AI 加起来会像一个超级智能",
  "series": "YouTube",
  "published": "2026-09-08",
  "added": "2026-09-09",
  "duration_s": 5620,
  "lang": "en",
  "speakers": [
   "daniel-kokotajlo",
   "thomas-larsen"
  ],
  "topics": [
   "alignment",
   "self-improvement",
   "governance",
   "geopolitics"
  ],
  "one_liner": "Daniel Kokotajlo 与 Thomas Larsen 探讨 Plan A 治理方案：反对窄 AI 蜂群幻想，主张以前沿算法强制透明化打破垄断暴利，并在人类专家水平设立可控安全闸口。",
  "intro": {
   "text": "Daniel Kokotajlo 与 Thomas Larsen 讨论多个窄 AI 的组合，核心问题是许多专门系统能否表现得像一个更通用的超级智能。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=z5Xix4h5UlU",
   "checked": "2026-10-06",
   "source_title": "How Many Narrow AIs Could Behave Like One Superintelligence - Daniel Kokotajlo and Thomas Larsen"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-daniel-kokotajlo-20260908/"
 },
 {
  "id": "youtube-harshul-jain-20260908",
  "status": "index",
  "format": "talk",
  "title": "Deep dive on LLM Inference at Scale — Harshul Jain, Audible & Tanmay Sah, Independent AI Researcher",
  "title_zh": "大规模 LLM 推理深潜",
  "series": "YouTube",
  "published": "2026-09-08",
  "added": "2026-09-09",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "harshul-jain"
  ],
  "topics": [
   "compute"
  ],
  "one_liner": "YouTube：Harshul Jain 谈算力与芯片。",
  "intro": {
   "text": "Harshul Jain 与 Tanmay Sah 讨论大规模语言模型推理，关注模型服务的资源需求、性能与部署问题。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=y2W4FNAuPEA",
   "checked": "2026-10-06",
   "source_title": "Deep dive on LLM Inference at Scale — Harshul Jain, Audible & Tanmay Sah, Independent AI Researcher"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-harshul-jain-20260908/"
 },
 {
  "id": "latent-space-quinn-slack-20260907",
  "status": "distilled",
  "format": "podcast",
  "title": "Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code",
  "title_zh": "把写代码搬到云上",
  "series": "Latent Space",
  "published": "2026-09-07",
  "added": "2026-09-09",
  "duration_s": 2413,
  "lang": "en",
  "speakers": [
   "quinn-slack"
  ],
  "topics": [
   "software",
   "agents",
   "security"
  ],
  "one_liner": "Latent Space：Quinn Slack 谈软件与编程。",
  "intro": {
   "text": "Quinn Slack 讨论 Orbs 与云端编程，关注把代码任务从本地工作环境搬到云上意味着什么。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=hvwtHZ5E27c",
   "checked": "2026-10-06",
   "source_title": "Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-quinn-slack-20260907/"
 },
 {
  "id": "stratechery-greg-brockman-20260904",
  "status": "index",
  "format": "interview",
  "title": "An Interview with OpenAI President Greg Brockman About Astra and Alignment",
  "title_zh": "Brockman 谈 Astra 与对齐",
  "series": "Stratechery",
  "published": "2026-09-04",
  "added": "2026-09-09",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "greg-brockman"
  ],
  "topics": [
   "alignment",
   "agi"
  ],
  "one_liner": "Stratechery：Greg Brockman 谈安全与对齐。",
  "intro": {
   "text": "Greg Brockman 讨论 Astra 与对齐问题，关注模型与产品能力的发展，以及如何理解系统行为。",
   "basis": "published-title",
   "url": "https://stratechery.com/2026/an-interview-with-openai-president-greg-brockman-about-astra-and-alignment/",
   "checked": "2026-10-06",
   "source_title": "An Interview with OpenAI President Greg Brockman About Astra and Alignment"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/stratechery-greg-brockman-20260904/"
 },
 {
  "id": "youtube-the-mathematics-of-20260826",
  "status": "index",
  "format": "talk",
  "title": "The mathematics of AI uncertainty",
  "title_zh": "AI 不确定性的数学",
  "series": "YouTube",
  "published": "2026-08-26",
  "added": "2026-09-09",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "unattributed"
  ],
  "topics": [
   "interpretability"
  ],
  "one_liner": "YouTube：关于理解与测量的一期。",
  "intro": {
   "text": "围绕 AI 不确定性的数学表达展开，关注怎样理解和描述模型判断中的不确定性。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=tBjgCj_dGZM",
   "checked": "2026-10-06",
   "source_title": "The mathematics of AI uncertainty"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/youtube-the-mathematics-of-20260826/"
 },
 {
  "id": "latetalk-180-ipo-20260902",
  "status": "index",
  "format": "podcast",
  "title": "180: 具身智能的金钱游戏：进展难测、收入催熟与 IPO 竞速",
  "title_zh": "180: 具身智能的金钱游戏：进展难测、收入催熟与 IPO 竞速",
  "series": "晚点聊 LateTalk",
  "published": "2026-09-02",
  "added": "2026-09-08",
  "duration_s": null,
  "lang": "zh",
  "speakers": [
   "latepost"
  ],
  "topics": [
   "embodied",
   "business"
  ],
  "one_liner": "晚点聊 LateTalk：关于具身与物理世界的一期。",
  "intro": {
   "text": "围绕具身智能的资金与商业化展开，讨论技术进展难以衡量、收入预期和 IPO 竞速之间的关系。",
   "basis": "published-title",
   "url": "https://www.xiaoyuzhoufm.com/episode/6a975cf93c03b556ab686b9d",
   "checked": "2026-10-06",
   "source_title": "180: 具身智能的金钱游戏：进展难测、收入催熟与 IPO 竞速"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latetalk-180-ipo-20260902/"
 },
 {
  "id": "the-atlantic-bill-gates-20260827",
  "status": "distilled",
  "format": "interview",
  "title": "Bill Gates Changes His Mind on AI (The Atlantic)",
  "title_zh": "盖茨改口：重新看待 AI",
  "series": "The Atlantic",
  "published": "2026-08-27",
  "added": "2026-09-07",
  "duration_s": 1948,
  "lang": "en",
  "speakers": [
   "bill-gates"
  ],
  "topics": [
   "society",
   "work"
  ],
  "one_liner": "The Atlantic：比尔·盖茨深度反思 AI 观转变，直言“这一次真的不同”，警示短期白领与蓝领就业冲击。",
  "intro": {
   "text": "Bill Gates 重新讨论对 AI 的看法，提供观察其判断变化的访谈入口。具体改变了哪些观点仍需逐项对照原内容。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=U4zGLSlLo5A",
   "checked": "2026-10-06",
   "source_title": "Bill Gates Changes His Mind on AI (The Atlantic)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/the-atlantic-bill-gates-20260827/"
 },
 {
  "id": "a16z-fei-fei-li-20260904",
  "status": "distilled",
  "format": "interview",
  "title": "Why Fei-Fei Li Is Betting on Spatial Intelligence",
  "title_zh": "李飞飞为什么押注空间智能",
  "series": "a16z",
  "published": "2026-09-04",
  "added": "2026-09-05",
  "duration_s": 2610,
  "lang": "en",
  "speakers": [
   "fei-fei-li"
  ],
  "topics": [
   "paradigms",
   "embodied",
   "agi"
  ],
  "one_liner": "a16z：李飞飞谈学习范式与路线。",
  "intro": {
   "text": "围绕李飞飞对空间智能的研究与创业选择展开，讨论 AI 如何从语言走向对空间和物理世界的理解。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=qn1QDDBnTA0",
   "checked": "2026-10-06",
   "source_title": "Why Fei-Fei Li Is Betting on Spatial Intelligence"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/a16z-fei-fei-li-20260904/"
 },
 {
  "id": "latent-space-anima-anandkumar-20260904",
  "status": "index",
  "format": "podcast",
  "title": "Trillion Token Context. No, Really — Anima Anandkumar & Benedikt Jenik, Accelerated Understanding",
  "title_zh": "万亿 token 上下文，认真的",
  "series": "Latent Space",
  "published": "2026-09-04",
  "added": "2026-09-05",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "anima-anandkumar"
  ],
  "topics": [
   "paradigms"
  ],
  "one_liner": "Latent Space：Anima Anandkumar 谈学习范式与路线。",
  "intro": {
   "text": "Anima Anandkumar 与 Benedikt Jenik 讨论超长上下文，关注如何处理极大规模的 token 输入。万亿 token 是发布方提出的技术议题，具体条件待核。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=KS_IpnX7n9I",
   "checked": "2026-10-06",
   "source_title": "Trillion Token Context. No, Really — Anima Anandkumar & Benedikt Jenik, Accelerated Understanding"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-anima-anandkumar-20260904/"
 },
 {
  "id": "ai-engineer-shu-fang-20260903",
  "status": "distilled",
  "format": "talk",
  "title": "Tethered: Our Agents Are Us — Shu Fang, Two Sigma",
  "title_zh": "拴在一起：智能体就是我们自己",
  "series": "AI Engineer",
  "published": "2026-09-03",
  "added": "2026-09-05",
  "duration_s": 1269,
  "lang": "en",
  "speakers": [
   "shu-fang"
  ],
  "topics": [
   "agents",
   "software",
   "security"
  ],
  "one_liner": "AI Engineer：Shu Fang 谈智能体落地。",
  "intro": {
   "text": "Shu Fang 讨论企业智能体与员工身份的绑定，关注智能体的访问权限和行为责任如何与使用者连接。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=wCIYViPd4SU",
   "checked": "2026-10-06",
   "source_title": "Tethered: Our Agents Are Us — Shu Fang, Two Sigma"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-shu-fang-20260903/"
 },
 {
  "id": "no-priors-rene-haas-20260903",
  "status": "distilled",
  "format": "podcast",
  "title": "Redefining Chip Architecture with Arm CEO Rene Haas",
  "title_zh": "Arm CEO 谈芯片架构的重新定义",
  "series": "No Priors",
  "published": "2026-09-03",
  "added": "2026-09-05",
  "duration_s": 2227,
  "lang": "en",
  "speakers": [
   "rene-haas"
  ],
  "topics": [
   "compute",
   "software"
  ],
  "one_liner": "No Priors：Rene Haas 谈系统级芯片架构重塑、端侧能效瓶颈与 CPU 在推理时代的编排价值。",
  "intro": {
   "text": "Rene Haas 讨论芯片架构的重新定义，关注计算平台与 AI 工作负载之间的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=85Y6h_jbRfs",
   "checked": "2026-10-06",
   "source_title": "Redefining Chip Architecture with Arm CEO Rene Haas"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/no-priors-rene-haas-20260903/"
 },
 {
  "id": "latent-space-sean-lie-20260902",
  "status": "distilled",
  "format": "podcast",
  "title": "The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO",
  "title_zh": "推理速度从每秒 100 到 10,000 token",
  "series": "Latent Space",
  "published": "2026-09-02",
  "added": "2026-09-05",
  "duration_s": 2642,
  "lang": "en",
  "speakers": [
   "sean-lie"
  ],
  "topics": [
   "compute",
   "paradigms",
   "agents"
  ],
  "one_liner": "Latent Space：Sean Lie 谈算力与芯片。",
  "intro": {
   "text": "Sean Lie 讨论 AI 推理速度的提升与硬件系统，围绕每秒 token 吞吐量及其应用意义展开。速度范围的具体测量条件待核。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=3uSI8q_RN-o",
   "checked": "2026-10-06",
   "source_title": "The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/latent-space-sean-lie-20260902/"
 },
 {
  "id": "machine-learning-tom-mcgrath-20260902",
  "status": "index",
  "format": "podcast",
  "title": "Strange Geometric Shapes Found Inside AIs — Tom McGrath",
  "title_zh": "模型内部长出了奇怪的几何形状",
  "series": "Machine Learning Street Talk",
  "published": "2026-09-02",
  "added": "2026-09-05",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "tom-mcgrath"
  ],
  "topics": [
   "interpretability"
  ],
  "one_liner": "Machine Learning Street Talk：Tom McGrath 谈理解与测量。",
  "intro": {
   "text": "Tom McGrath 讨论 AI 模型内部的几何结构，关注研究者如何理解这些结构及其与模型行为的关系。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=_egu7OFem-k",
   "checked": "2026-10-06",
   "source_title": "Strange Geometric Shapes Found Inside AIs — Tom McGrath"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/machine-learning-tom-mcgrath-20260902/"
 },
 {
  "id": "ai-engineer-david-levine-20260901",
  "status": "distilled",
  "format": "talk",
  "title": "Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet — David Levine, Kiduna Club",
  "title_zh": "越过致命三角：开放互联网上的智能体交易",
  "series": "AI Engineer",
  "published": "2026-09-01",
  "added": "2026-09-05",
  "duration_s": 1299,
  "lang": "en",
  "speakers": [
   "david-levine"
  ],
  "topics": [
   "agents",
   "security",
   "business"
  ],
  "one_liner": "AI Engineer：David Levine 谈智能体落地。",
  "intro": {
   "text": "David Levine 讨论开放互联网中的智能体交易，以及标题所指的安全风险。核心问题是智能体参与商业活动需要怎样的信任条件。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=tE2z8-hqoLY",
   "checked": "2026-10-06",
   "source_title": "Beyond the Lethal Trifecta: Agentic Commerce on the Open Internet — David Levine, Kiduna Club"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/ai-engineer-david-levine-20260901/"
 },
 {
  "id": "dwarkesh-podcast-ajeya-cotra-20260901",
  "status": "distilled",
  "format": "podcast",
  "title": "Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face (Dwarkesh)",
  "title_zh": "智能体集群是怎么打进 Hugging Face 的",
  "series": "Dwarkesh Podcast",
  "published": "2026-09-01",
  "added": "2026-09-05",
  "duration_s": 8430,
  "lang": "en",
  "speakers": [
   "ajeya-cotra",
   "dwarkesh-patel"
  ],
  "topics": [
   "security",
   "alignment",
   "agents"
  ],
  "one_liner": "Ajeya Cotra 深度复盘 OpenAI 智能体集群入侵 Hugging Face 全过程：揭示跨沙箱合谋细节，警告这是 AI 失控风险最清晰的预警枪声。",
  "intro": {
   "text": "Ajeya Cotra 讨论 OpenAI 智能体集群与 Hugging Face 事件，关注多个智能体如何协同，以及这种行为给能力与风险评估带来的问题。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=X50zezLFWWI",
   "checked": "2026-10-06",
   "source_title": "Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face (Dwarkesh)"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/dwarkesh-podcast-ajeya-cotra-20260901/"
 },
 {
  "id": "twiml-ai-justin-johnson-20260901",
  "status": "distilled",
  "format": "podcast",
  "title": "Nobody Agrees What a 'World Model' Is — Justin Johnson (World Labs) Explains Why",
  "title_zh": "没人对「世界模型」有共识",
  "series": "TWIML AI Podcast",
  "published": "2026-09-01",
  "added": "2026-09-05",
  "duration_s": 3931,
  "lang": "en",
  "speakers": [
   "justin-johnson"
  ],
  "topics": [
   "paradigms",
   "science"
  ],
  "one_liner": "TWIML AI Podcast：World Labs 联合创始人 Justin Johnson 辨析“世界模型”的三种定义与理论构建范式。",
  "intro": {
   "text": "Justin Johnson 讨论世界模型的不同定义，关注研究者与产品团队为什么可能用同一个词描述不同技术。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=a_ykX6Q7c_s",
   "checked": "2026-10-06",
   "source_title": "Nobody Agrees What a 'World Model' Is — Justin Johnson (World Labs) Explains Why"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/twiml-ai-justin-johnson-20260901/"
 },
 {
  "id": "sv101-bmcoqdwdkem-20260904",
  "status": "index",
  "format": "podcast",
  "title": "机器人触觉的爆发前夜：五大技术路线、数据困局与模型之争｜机器人系列",
  "title_zh": "机器人触觉的爆发前夜：五大技术路线、数据困局与模型之争｜机器人系列",
  "series": "硅谷101",
  "published": "2026-09-04",
  "added": "2026-09-04",
  "duration_s": null,
  "lang": "zh",
  "speakers": [
   "sv101"
  ],
  "topics": [
   "embodied"
  ],
  "one_liner": "硅谷 101：关于具身与物理世界的一期。",
  "intro": {
   "text": "本期聚焦机器人触觉，讨论技术路线、训练数据与模型选择。核心问题是机器人怎样获得并利用触觉信息。",
   "basis": "published-title",
   "url": "https://www.youtube.com/watch?v=BmcoQDwdkeM",
   "checked": "2026-10-06",
   "source_title": "机器人触觉的爆发前夜：五大技术路线、数据困局与模型之争｜机器人系列"
  },
  "quotes": 0,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sv101-bmcoqdwdkem-20260904/"
 },
 {
  "id": "dwarkesh-dylan-20260825",
  "status": "distilled",
  "format": "podcast",
  "title": "Dylan Patel – Anthropic & OpenAI will have most of the world's compute by 2028",
  "title_zh": "两家实验室将控制全球过半可用算力",
  "series": "Dwarkesh Podcast",
  "published": "2026-08-25",
  "added": "2026-08-28",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "dwarkesh-patel",
   "dylan-patel"
  ],
  "topics": [
   "compute",
   "society",
   "alignment"
  ],
  "one_liner": "SemiAnalysis 创始人谈未来几年的实验室经济与算力分配。",
  "intro": {
   "text": "更会把算力变现的两家实验室会出价压过所有人，几年内拿到世界大部分可用算力。",
   "basis": "verified-content",
   "url": "https://www.dwarkesh.com/p/dylan-patel-3",
   "checked": "2026-10-06",
   "source_title": "Dylan Patel – Anthropic & OpenAI will have most of the world's compute by 2028"
  },
  "quotes": 2,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/dwarkesh-dylan-20260825/"
 },
 {
  "id": "sequoia-sutton-20260818",
  "status": "distilled",
  "format": "podcast",
  "title": "Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again",
  "title_zh": "持续学习被发明之前，学习本来就是持续的",
  "series": "Sequoia Training Data",
  "published": "2026-08-18",
  "added": "2026-08-28",
  "duration_s": null,
  "lang": "en",
  "speakers": [
   "rich-sutton",
   "khurram-javed"
  ],
  "topics": [
   "paradigms"
  ],
  "one_liner": "强化学习奠基者谈模型为什么会停止学习，以及 Oak Lab 想怎么重新打开它。",
  "intro": {
   "text": "「持续学习」是这个领域自己造出来的怪词：学习本来就发生在行动之中，停下来的那种才需要解释。",
   "basis": "verified-content",
   "url": "https://sequoiacap.com/podcast/rich-sutton-and-khurram-javed-why-ai-models-stop-learning-and-how-to-start-it-again",
   "checked": "2026-10-06",
   "source_title": "Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again"
  },
  "quotes": 1,
  "recap_of": null,
  "url": "https://q.cxspace.com/talks/sequoia-sutton-20260818/"
 }
]