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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。

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节目目录 · 17 档
Lex Fridman Podcast 节目封面

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

TWIML AI Podcast 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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 节目封面

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

262 个可收听单集单集标题与简介保留节目方原文

The Cognitive Revolution · 英文

How Agents Decide: Goodfire's Eric Bigelow on Critical Tokens, Phase Shifts, & In-Context Learning

Goodfire researcher Eric Bigelow joins the show to investigate how large language models arrive at decisions at the level of mechanistic interpretability. Drawing on his research into forking paths, Eric explains that model reasoning functions as in-context learning from sampled tokens, where outcome distributions can abruptly collapse at single, critical tokens. The conversation explores the performative nature of chain of thought in reasoning…

2:02:05 · 2026/10/10

Machine Learning Street Talk · 英文

What Most People Get Wrong About Evolution | Akarsh Kumar

A lot of people in AI treat evolution as a dumb fallback, basically random search for when you can't take a gradient. Akarsh Kumar thinks that is wrong. Selection hangs on to partial solutions, so mutations only need to be useful about 1% of the time for the search to keep making progress.Akarsh is a PhD student at MIT working with Phillip Isola, works with Sakana AI, and is first author of the Fractured Entangled Representation paper with Kenne…

47:54 · 2026/10/10

Latent Space · 英文

Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub

From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology.

时长未注明 · 2026/10/10

Planet Money · 英文

Should we all be getting tariff refunds right now?

Companies are getting billions of dollars back. How about us? It seems simple, right? We paid higher prices for imported goods because of tariffs. Then the tariffs were ruled illegal. Courts said the money paid to the U.S. government had to be refunded. Companies are getting that money now. It would seem like we, the customers, should get paid back, too. But … it’s not so simple. Once again, we’re dipping back into the drama of import tax law. W…

30:03 · 2026/10/10

No Priors · 英文

Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

Is the future of frontier AI open or closed? ReflectionAI co-founder and CEO Misha Laskin joins Sarah Guo and Elad Gil to discuss the launch of Beam, the company’s 500 billion parameter open-weight reasoning model. Misha breaks down the pre-training and reinforcement learning required to produce Beam’s reasoning efficiency, the shift in enterprise compute from renting to owning intelligence, and how he believes that open models will capture the…

1:09:44 · 2026/10/10

知行小酒馆 · 中文

E253 AI 会改变世界,可它真的有让世界变好吗?

🌏 让善意和希望人传人。 欢迎来到知行小酒馆,这是一档由 有知有行 出品的播客节目。我们关注投资,更关注怎样更好地生活,我是雨白。 今年似乎所有人都在讨论 AI,但不知道你是否和我有着一样的感觉:这些消息看起来都很重要,也确实会改变我们的生活。 可在那些讨论里,我好像看不到「自己」。 所以过去一段时间,小酒馆很少专门聊 AI。直到前不久,我读到今天的嘉宾李治霖写的一篇 文章 。 文章开头引用了 DeepMind 创始人哈萨比斯的一句话: 「如果你停下来想一想,我们本质上是找到了让沙子思考的办法。这几乎是一个神迹。」 芯片的主要原料是硅,硅可以从石英砂中提取。人类把沙子提纯、排列、通电,最后让它涌现出智能。这确实像神迹。 但长期做公益的治霖读到这里,马上想到的是另一件事:石英粉尘也是尘肺病的主要致病源,这是全世界最致命的职业病之一。让沙子学会思考的每一个环节,都可能有人在吸入它的粉尘。 会思考的沙子和杀人的沙子,追根溯源,来自同一种东西。 比起谁家的模型又变强了多少,这是小酒馆更想讨论的…

1:18:54 · 2026/10/9

Odd Lots · 英文

How AI Is Upending the World of Mathematics

Last month, OpenAI announced that it had produced an AI-generated proof for the Navier-Stokes problem, one of the most famous unsolved questions in mathematics. LLMs used to be bad at counting, but now they are solving math problems that have stumped humans for decades. Meanwhile, at universities, the problem of AI in education continues: Now that LLMs can do a student's homework, teachers are struggling to keep up. It is clear that AI is very q…

1:00:21 · 2026/10/9

The Indicator from Planet Money · 英文

SNAP strains, youth baseball's class divide, and Meta's bug bounty

This week our top indicators include changes to the funding model for SNAP, private equity’s influence on youth baseball and Meta’s attempt to find flaws in its brand new AI assistant. Fact checking by Sierra Juarez . Your Next Listen – Why Trump's spending bill could close your grocery store –Over 2,000 episodes in our archive on the NPR App Connect with The Indicator from Planet Money – The Indicator newsletter — a weekly roundup of news, idea…

9:03 · 2026/10/9

硅谷101 · 中文

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

模型在榜单上越来越强,为什么真正把工作交给AI,还是需要人反复解释、检查和兜底? 半年前,我们与阿里国际站总裁张阔聊了Accio Work,以及Agent如何参与采购和日常经营。半年后,我们再次请到他,聊聊这半年来商家使用Accio Work的真实案例,试图回答这个问题:模型能力的提升,究竟有多少变成了商家工作里的进步? 张阔分享,很多模型的通用评测成绩已经接近满分,但团队在真实经营中,并没有感受到同样幅度的提升。为此,他们从实际业务中整理了107个任务,包括比较供应商报价、识别钓鱼邮件、预订船期和处理交易纠纷。据他介绍,在这套特定评测中,最前沿模型在无人干预条件下的任务通过率约为61%。 这些任务没有数学竞赛那么耀眼,却直接关系到商家的成本、交期和利润。一个好用的Agent,既要能把工作做完,也要让人用得起;既要理解工具和流程,也要理解这盘生意究竟想追求什么。 这期节目,我们聊聊榜单成绩与实际交付之间的落差、通用模型与垂直产品的竞争,以及当AI接手越来越多的执行工作,人还需要保留哪些…

46:13 · 2026/10/9

Unhedged · 英文

Is France too blasé about borrowing costs?

France’s borrowing costs are skyrocketing. And its leading candidates for next April’s presidential elections - on both extremes of the political spectrum - seem alarmingly unalarmed. All of this gives hosts Katie Martin and Rob Armstrong, and markets correspondent Ian Smith, a bad feeling about where things might be headed. So does another eurozone crisis beckon? Plus, Katie and Rob go long Norway and John Le Carré, while Ian shorts oversized c…

21:57 · 2026/10/9

Latent Space · 英文

Synthesis Superintelligence: from Semiconductors to Superconductors — Periodic Labs’ Liam Fedus and Ekin Dogus Cubuk

A special Science pod and Engineering pod crossover.. with Forward Deployed Engineering kicker!

时长未注明 · 2026/10/9

The Cognitive Revolution · 英文

AI:AM: A Level We Shouldn't Pass? Notes from The Curve + Tokens vs. Salaries & Is SaaS Cooked?

Nathan Labenz reports back from The Curve conference, sharing off-the-record insights from frontier lab leaders on shortened timelines and whether humanity is approaching an intelligence threshold it should not cross. The episode also features discussions with Positron CTO Thomas Sohmers on overcoming the memory wall while token spend eclipses human salaries, and swyx on how coding agents are disrupting enterprise software. In addition, Atlas Ig…

1:28:00 · 2026/10/8

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

Odd Lots · 英文

What Everyone Gets Wrong About the Economic Problems in Europe

In so many conversations, there's a widespread view that Europe is falling behind. Or it's in trouble. It has been two years since the publication of the Draghi report and the problems the report identified about European competitiveness are far from solved: Demographic challenges, rising energy costs, and a lagging tech sector still cast a shadow over Europe. But according to the economist and policy analyst Dominik Leusder (who also writes the…

52:39 · 2026/10/8

The Indicator from Planet Money · 英文

The chilling effect of ICE in hospitals

Federal immigration enforcement arrests reached record highs this past summer, and under the second Trump administration, immigration agents can now more easily access so-called sensitive areas, including hospitals. Today on the show: how both patients and healthcare workers are bearing the physical and economic costs of these deportation campaigns. Featuring Dr. William D. Lopez, author of Raiding the Heartland: an American Story of Deportation…

9:13 · 2026/10/8

The Cognitive Revolution · 英文

Software That Never Breaks: OutSystems CEO Woodson Martin on Building Enterprise-Grade Apps at ...

OutSystems CEO Woodson Martin joins Nathan to discuss how enterprise software can evolve at AI speed without breaking critical operations. Martin explains how an intermediate layer of abstract modeling allows AI agents to build reliably through deterministic code generation, ensuring role-based security across heavily regulated industries. He details practical operational challenges, from navigating compliance backlogs and securing shared primit…

1:11:26 · 2026/10/8

Planet Money · 英文

Charles Ponzi's scheme (plus a new scam)

Charles Ponzi was down on his luck. In 1919, the Italian immigrant had spent a decade and a half in the U.S. He was looking for a way to get rich and tried his hand at everything — including bookkeeping, sign painting, grocery clerk, dishwasher, and librarian. He caught a lucky break in August, when he received a letter from Europe. In the envelope was an International Reply Coupon, a clever way to prepay for international postage. Ponzi realize…

25:30 · 2026/10/7

The Indicator from Planet Money · 英文

One economist's answer to data center anxiety

Rising electricity prices are one of the primary reasons why data centers are a public enemy this election cycle. But is it realistic to expect energy prices to stay high forever? Fact checking by Sierra Juarez . Your Next Listen No AI data centers in my backyard! Over 2,000 episodes in our archive on the NPR App Connect with The Indicator from Planet Money The Indicator newsletter — a weekly roundup of news, ideas and staff picks. Instagram , T…

9:28 · 2026/10/7

TWIML AI Podcast · 英文

Why Jev Is Changing How We Build With AI with Diogo Almeida - #779

In this episode, Diogo Almeida, co-founder and CEO of TypeSafe, joins us to discuss Jev, TypeSafe’s recently released model for bringing fast, reliable intelligence directly into software. We explore the idea of “machine-native intelligence” and why Diogo believes models optimized for generating text are poorly suited to many of the decisions required for real-world automation. He explains how Jev differs from traditional classifiers and LLM-bas…

1:30:09 · 2026/10/7

Unhedged · 英文

There is only one trade

It’s starting to look like every market is becoming a one-trick pony. Since the summer, stock markets would have been down – were it not for the Big Tech companies galloping ahead on the back of AI. Corporate bond issuance and even the US dollar are also riding high on the AI trade. But what if that pony turns out to be a bucking bronco? Rob Armstrong and Katie Martin saddle up and find out. Plus Rob goes long TIPS, and Katie shorts acronyms… su…

20:22 · 2026/10/7