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
8 个可收听单集单集标题与简介保留节目方原文
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
TWIML AI Podcast · 英文
From Math Olympiads to Navier-Stokes: How Fast Is AI Progressing? with Greg Burnham - #778
AI systems have gone from struggling with grade-school math to helping solve research problems that have resisted mathematicians for decades, including Navier-Stokes. In this episode, Greg Burnham, who leads AI capabilities research at Epoch AI, joins us to examine what that progress says about where AI is going. We look at how these systems are solving hard math problems, how much they rely on persistence and prior human work, and whether they…
1:07:48 · 2026/9/30
TWIML AI Podcast · 英文
From Voice Agents to AI Avatars with Alexander Smola - #777
Voice AI has gotten remarkably good, but natural conversation remains a high bar. Small delays, awkward interruptions, or the wrong tone can quickly break the illusion—and adding vision and visual presence only raises the stakes. In this episode, Alex Smola, co-founder and CEO of Boson AI, explores the path from today’s voice agents to audiovisual agents and AI avatars. We discuss the technical tradeoffs behind real-time voice, including audio t…
1:04:58 · 2026/9/17
TWIML AI Podcast · 英文
Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776
As reasoning models consume more tokens and AI systems become more expensive to run, understanding what those tokens actually buy is becoming increasingly important. In this episode, Stanford professor and Big Spin co-founder Chris Potts joins us to discuss AI tokenomics and his research into “tokenflation”—the possibility that token usage is growing faster than the measurable value those tokens produce. We explore how to measure the return on A…
59:29 · 2026/9/10
TWIML AI Podcast · 英文
World Models and the Future of Spatial AI with Justin Johnson - #775
In this episode, Justin Johnson, co-founder of World Labs, joins us to discuss world models and the emerging field of spatial AI. We explore why many researchers see capabilities beyond language as an important frontier for AI, and what it means to build models that can understand, generate, and simulate the environments around them. Justin explains the different approaches to world modeling, including explicit 3D representations and generative…
1:06:02 · 2026/9/2
TWIML AI Podcast · 英文
Why the Next AI Breakthrough May Come from Physics with Max Welling - #774
The conventional wisdom in AI is that the next breakthrough will come from more compute, more data, and larger models. But what if the next leap comes from somewhere else? In this episode, Max Welling—co-founder and CTO of CuspAI and professor at the University of Amsterdam—argues that physics may provide some of the ideas behind the next generation of AI systems. We begin with CuspAI’s work using generative AI to design entirely new materials f…
58:05 · 2026/8/27
TWIML AI Podcast · 英文
Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773
Text-to-image models have become remarkably good at producing realistic images. But realism isn’t the same as correctness. Ask for several distinct people, a specific composition, or a high-resolution image generated locally, and today’s models still struggle in surprising ways. In this episode, Fatih Porikli, Vice President of Technology at Qualcomm, joins me to discuss what remains unsolved in image generation and several approaches his team p…
56:47 · 2026/8/13
TWIML AI Podcast · 英文
Why Models Are AI’s Next Training Dataset with Damian Borth - #772
For more than a decade, AI has advanced by training ever-larger models on ever-larger datasets. But as high-quality training data becomes harder to find and pretraining grows increasingly expensive, researchers are looking for new ways to keep foundation models improving. In this episode, Damian Borth, professor of AI and machine learning at the University of St. Gallen, argues we’ve been overlooking an important source of knowledge: the models…
47:00 · 2026/7/28