Lex Fridman Podcast
英文 · Lex Fridman
长访谈覆盖 AI、科研与更广泛的人文议题，按单集主题选择。
已核对订阅 · 2026/10/11
AI 与经济播客
听研究、产品、产业与经济的深入讨论。节目标签表示关注方向，跨领域节目并非每期都谈 AI。
节目目录 · 17 档
TWIML AI Podcast
英文 · Sam Charrington
机器学习研究与工程实践，关注大模型、Agent 和基础设施。
已核对订阅 · 2026/10/11
Latent Space
英文 · Swyx、Alessio Fanelli
AI 工程、开发工具与开源生态；仅提取订阅源中带音频的单集。
已核对订阅 · 2026/10/11
Practical AI
英文 · Daniel Whitenack、Chris Benson
AI 工程与应用落地，适合从实践视角理解技术。
已核对订阅 · 2026/10/11
Machine Learning Street Talk
英文 · Machine Learning Street Talk
AI 基础研究、认知科学与哲学长谈，部分单集不限于 AI。
已核对订阅 · 2026/10/11
The Cognitive Revolution
英文 · Nathan Labenz
AI 研究、产品与社会影响，偏深入访谈。
已核对订阅 · 2026/10/11
Dwarkesh Podcast
英文 · Dwarkesh Patel
研究准备充分的长访谈，涉及 AI、经济与历史；并非每期都谈 AI。
已核对订阅 · 2026/10/11
No Priors
英文 · Sarah Guo、Elad Gil / Conviction
AI 技术、创业与产业变化，带有明确创投视角。
已核对订阅 · 2026/10/11
硅谷101
中文 · 硅谷101
技术、产业与商业的中文深度访谈，适合连接 AI 与经济议题。
已核对订阅 · 2026/10/11
张小珺Jùn｜商业访谈录
中文 · 张小珺
创业、AI 与产业人物长访谈，适合深入了解一线经营视角。
已核对订阅 · 2026/10/11
Planet Money
英文 · NPR
用故事解释经济机制与商业现象，适合建立经济直觉。
已核对订阅 · 2026/10/11
The Indicator from Planet Money
英文 · NPR
篇幅较短，解释经济数据、工作和商业中的具体问题。
已核对订阅 · 2026/10/11
Macro Musings
英文 · David Beckworth / Mercatus Center
货币政策、央行与宏观经济的专业访谈。
已核对订阅 · 2026/10/11
Odd Lots
英文 · Bloomberg
市场机制、宏观与产业访谈，也有 AI、算力和能源相关内容。
已核对订阅 · 2026/10/11
Unhedged
英文 · Financial Times
金融市场、利率与全球经济的分析和讨论。
已核对订阅 · 2026/10/11
EconTalk
英文 · Russ Roberts
经济学思维与公共议题的长对话，范围也包含社会与哲学。
已核对订阅 · 2026/10/11
知行小酒馆
中文 · 有知有行
投资、经济与生活的中文讨论；AI 相关单集可作为交叉阅读。
已核对订阅 · 2026/10/11
12 个可收听单集单集标题与简介保留节目方原文
Practical AI · 英文
Narrative intelligence and the human advantage
As AI reshapes how we work, create, and think about our roles, staying adaptable means understanding not just the technology, but our own stories and identities. Reed Frerichs joins Daniel and Chris to explore narrative intelligence, storytelling, leadership, and personal growth in an AI-driven world. They discuss how entrepreneurs and leaders can use AI tools to navigate changing roles, embrace uncertainty, and develop emotional intelligence al…
44:24 · 2026/10/8
Practical AI · 英文
Open models and the future of Physical AI with NVIDIA
As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, world models, and the future of physical AI. They explore why open models matter for innovation, how world models can help AI understand and simulate the physical world, an…
47:19 · 2026/10/1
Practical AI · 英文
From AGENTS.md to Enterprise Deployment
AI agents are moving beyond laptops and prototypes and into enterprise environments where security, compliance, scalability, and reliability matter. Nick Kuhn from VMware Tanzu Platform joins Daniel and Chris to discuss what changes (and what doesn’t) when deploying agents alongside traditional applications. They explore agent build packs, MCP gateways, shared memory, identity, sandboxing, and what enterprises can learn from years of platform en…
48:52 · 2026/9/24
Practical AI · 英文
How to get discovered in AI search
AI search is changing how people discover information and how brands need to think about visibility. Daniel and Chris talk with Liam Dunne and Ben Moore, co-founders of Discovered Labs, about the shift from traditional SEO to AI search, what happens behind the scenes when an LLM generates an answer, and why retrieval and citations don't always tell the whole story. They dig into AI visibility, Reddit strategy, query fan-out, representation in mo…
55:14 · 2026/9/17
Practical AI · 英文
Computer-Use Agents and the Future of the Agentic Internet
Longtime followers of Practical AI know that multi-repeat guest and friend Demetrios Brinkmann combines brilliant insight and playful banter into one fun-filled show, and this conversion with Chris was no different. They had a blast! As AI agents become more capable of using computers, interacting with software, and taking action on behalf of users, what does that mean for the way we work and interact with the internet? Chris and Demetrios explo…
56:01 · 2026/9/10
Practical AI · 英文
Less about Models; More about Architecture
As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at Rackspace, about the evolution from industrial AI and physical AI to today’s enterprise AI landscape. Discover how organizations can navigate the complex AI landscape responsibly and effectively as they think about AI architectu…
45:56 · 2026/9/3
Practical AI · 英文
Building the Foundation for the Agentic AI Era
How do we build an AI ecosystem where agents, tools, and systems can work together at scale? Angie Jones, VP of the Agentic AI Foundation, joins Chris to discuss the open standards and projects shaping the agentic future, including MCP, A2A, Goose, etc. They also explore what it takes to drive AI adoption across an entire organization, the importance of neutral standards, global perspectives on agentic AI, and how humans can find the right balan…
45:12 · 2026/8/28
Practical AI · 英文
AI Proficiency: From Users to Builders
As AI continues to reshape how organizations work, companies are increasingly asking what AI proficiency should look like across their workforce, and how they can help employees adapt without simply mandating AI adoption. Our returning guest Mike Lewis, Chief AI Architect at TiER1 Performance, joins Dan and Chris to explore AI proficiency through the L0–L3 framework, with a particular focus on the role of non-technical builders. They discuss AI…
56:13 · 2026/8/25
Practical AI · 英文
Models, Harnesses, and Multi-Agent Systems
AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter? In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, and explore why organizations are shifting toward fleets of AI agents powered by multiple models. They also discuss open vs. closed models, enterprise A…
49:58 · 2026/8/6
Practical AI · 英文
Reconstructing how OpenAI agents attacked Hugging Face
What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI,…
44:25 · 2026/7/30
Practical AI · 英文
Surviving the New Economics of a Post-Agentic World
The agentic transformation isn’t coming. It has already begun. Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time. In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges…
35:36 · 2026/7/23
Practical AI · 英文
The Future of AI Infrastructure with CoreWeave
As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built aroun…
50:04 · 2026/7/17