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
9 个可收听单集单集标题与简介保留节目方原文
Dwarkesh Podcast · 英文
Si Sheppard – How did a few hundred Spanish soldiers topple two empires?
New episode with military historian Si Sheppard . The conquests of the Aztec and Inca empires might be the most shocking events in human history. Hernan Cortés and some hundreds of Conquistadors landed on a new continent they knew basically nothing about, and within 2 and a half years, conquered the 6 million strong Aztec empire. Then, a decade later, Francisco Pizarro did the same thing to an Incan Empire of some 10 million inhabitants. In both…
1:37:23 · 2026/10/1
Dwarkesh Podcast · 英文
Noam Brown – Agent swarms, alignment, & recursive self-improvement
New episode with Noam Brown. We talk about multi-agent, Navier-Stokes, and what the current explosion of maths progress tells us about what happens once you automate AI research. And we also discuss how we will know if the models are actually aligned before we kick off RSI. Watch on YouTube ; read the transcript . Sponsors * Jane Street has been interested in AI for a lot longer than you’d think, and not just for trading. In 2011, a full year be…
1:20:10 · 2026/9/17
Dwarkesh Podcast · 英文
AI researchers debate how close we are to recursive self-improvement
New episode with John Schulman , Beren Millidge and Charlie O’Neill . I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening at the frontier and what comes next. Watch on YouTube ; read the transcript . Sponsors * Antithesis helps you trust your code. As agents generate more and more of your software, the bottleneck shifts from your…
1:37:01 · 2026/9/12
Dwarkesh Podcast · 英文
Ajeya Cotra – Inside the OpenAI agent swarm that hacked Hugging Face
Ajeya Cotra is a researcher at METR, where she works on threat modeling for loss-of-control risks from advanced AI. Before that, she led the technical AI safety program at what is now Coefficient Giving. She is one the three authors of METR and Redwood Research’s “ Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident ”. We go through not only what she and her coauthors dis…
2:20:33 · 2026/9/1
Dwarkesh Podcast · 英文
The rise and fall of agent civilizations
This is a video recording of a post I wrote last week. You can read the original here . This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
24:40 · 2026/9/1
Dwarkesh Podcast · 英文
Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028
Had a lot of fun chatting again with my twin brother Dylan Patel. We went through lab economics over the next few years - the shift from inference to training as RSI draws near; and how Anthropic and OpenAI are on track to control most of the world’s usable FLOPs within the next few years (because they can monetize compute better and thus outbid everyone). And then we discuss whether the >$10T of total AI capex we’ll see by the end of the decade…
1:16:53 · 2026/8/25
Dwarkesh Podcast · 英文
Ryan Greenblatt – What happens once AI can automate AI research?
Ryan Greenblatt is the Chief Scientist at Redwood Research, where he works on technical AI safety research. He's also lead author on the "Alignment faking in Large Language Models", and is currently working on a third party investigation into the OpenAI/HuggingFace incident. In my opinion, he's one of the most interesting thinkers on the future of AI. Had him on to discuss/debate recursive self-improvement. This might be the most important quest…
2:12:32 · 2026/8/12
Dwarkesh Podcast · 英文
8 Predictions for the Era of Continual Learning
Read the essay here . This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.dwarkesh.com
8:37 · 2026/8/8
Dwarkesh Podcast · 英文
Why smarter AI models could drive up compute prices 10x
This is a video recording of a post I wrote last week. If you want to read the original you can check it out here . Thanks to Mercury for sponsoring this video. Mercury’s built-in AI, Command, helps me close my books and saves me a bunch of time. At the end of each month, Command categorizes my transactions and provides its rationale for every choice: I just review, fix anything that’s off, and approve... and then Mercury syncs everything to Qui…
11:18 · 2026/8/4