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74 篇
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1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月3日播客Humanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2主持 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.智能体RoboticsMultimodal AI+3
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月20日播客The Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhere主持 Nathan LabenzThree years after the leaked “no moat” memo, DeepMind’s Gemini leads walk through 3.5 Flash, Omni, and the shared agent harness now running through Google’s products.企业与战略智能体工程Distillation+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月4日播客Frontier vision models score 12.5%: Joseph Nelson on the real waterline of computer vision主持 Nathan LabenzThe Roboflow CEO tells Nathan Labenz why vision still lags language, how to distill SAM 3 into an edge model for Wimbledon, and why the United States has almost never led open-source vision.多模态与媒体Multimodal AI视觉与视频+3
1:01:38EN
Sequoia Capital· 2026年1月6日播客13-Hour Coffee and 2x Throughput: Physical Intelligence Crosses the Deployment LineKarol Hausman and Tobi Springenberg tell Sequoia’s Training Data how a general robot brain, plus real-world RL, turned coffee, laundry, and chocolate boxes into jobs that actually run.模型与训练RoboticsReinforcement Learning+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年11月19日播客 · 2 人对谈500 Gloves, 10 Million Trajectories, and a $10,000 Home Robot主持 Sarah Guo, Elad GilSunday Robotics co-founders Tony Zhao and Cheng Chi map the gap between a scalable imitation-learning recipe and a machine that actually does the dishes.RoboticsData quality & curationScaling Laws+3
43:38EN
Sequoia Capital· 2025年11月11日播客A 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.多模态与媒体Generative mediaMultimodal AI+3
1:00:26EN
Sequoia Capital· 2025年11月6日播客Seven Million Videos a Day, and Most Return Visits Are Spent CreatingOpenAI's Sora 2 leads walk through diffusion transformers, physics that rebounds off the backboard, and a feed designed against mindless scrolling.多模态与媒体Generative media视觉与视频+3
42:20EN
Unsupervised Learning: With Jacob Effron· 2025年9月17日播客A Name Invented at 2:30 a.m. Put Gemini on Top of the App Store主持 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.多模态与媒体Multimodal AIGenerative media+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 2025年8月30日播客A hundred experiments a day, and the valley of death in materials主持 Nathan LabenzRadical AI’s co-founders tell Nathan Labenz how a closed loop of frontier models and a self-driving lab is meant to collapse a forty-year materials cycle into less than a decade.智能体AI for scienceAutonomous Systems+3
16 张幻灯片23:39ZH
跟李沐学AI· 2025年7月23日李沐:给文本大模型加入一千万小时语音,开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据,做成能听能说的 AudioLLM,并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来,以及怎么在 3090 上跑起来。语音 AIMultimodal AI模型与训练+2
2:28:14EN → 简体中文
Lex Fridman· 2025年7月23日播客 · 2 人对谈自然有结构:Demis Hassabis 谈可学习的现实与 AGI嘉宾 Demis Hassabis · 主持 Lex Fridman谷歌 DeepMind 的 CEO 认为,经过进化塑造的系统可以用经典学习方法来建模,而可交互的世界模型正处在通往 AGI 的路上。企业与战略World models通用人工智能+3
35:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年6月5日播客 · 2 人对谈Fei-Fei Li’s new bet: AI is incomplete without spatial intelligence主持 Sarah Guo, Elad GilThe ImageNet pioneer tells Sarah Guo and Elad Gil why World Labs is building 3D generative foundation models, and why language was only one piece of the puzzle.多模态与媒体Multimodal AI视觉与视频+3
53:51EN
Sequoia Capital· 2025年6月3日播客Veo 3 Took First Place by Beating Veo 2. Google Labs Says Chapter Two Just StartedThree Google Labs leads walk through generative cameras, background computer-use agents, and notebooks that adapt knowledge for an audience of one.多模态与媒体视觉与视频Generative media+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月11日播客A Robot-Arm Shot That Took Months Now Lives in a Prompt主持 Nathan LabenzLuma Labs’ Amit Jain and Jiaming Song on Ray 2, few-shot camera concepts, and why they think video models sit on the path to multimodal AGI.多模态与媒体Generative mediaMultimodal AI+3
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年5月1日播客 · 2 人对谈o3 should wait exactly as long as the answer takes主持 Sarah Guo, Elad GilOpenAI researchers Eric Mitchell and Brandon McKinzie tell No Priors why o3's leap is a chain of tools during reasoning — and why you should send the same prompt a hundred times.模型与训练Reasoning & test-time computeReinforcement Learning+3
40:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月17日播客 · 2 人对谈Discovery rates collapsed tenfold. KoBold still found a 5% copper deposit主持 Sarah Guo, Elad GilJosh Goldman explains why KoBold Metals treats mineral exploration as an information problem, pairing AI with century-old maps to hunt lithium and copper.企业与战略AI for scienceData quality & curation+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月23日播客A Year to Grow a Brain Organoid, an Hour to Simulate It主持 Nathan LabenzStanford postdoc Siyu He tells Nathan Labenz how Squidiff and CORAL move single-cell and spatial experiments into the computer — and where the models still cannot go.模型与训练AI for scienceComputational Biology+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月20日播客 · 2 人对谈Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.主持 Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.模型与训练RoboticsData quality & curation+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日播客With One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o主持 Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.多模态与媒体Multimodal AI视觉与视频+3
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年12月26日播客 · 2 人对谈After adding $100 billion a month, Jensen Huang says NVIDIA is selling the data center主持 Sarah Guo, Elad GilSarah Guo and Elad Gil clip their favorite 2024 No Priors conversations into a year-end reel of NVIDIA, Karpathy, Sierra, Sora, Waymo, Figma, and Scale.企业与战略AI Strategy基础设施与部署+3
1:07:32EN
Unsupervised Learning: With Jacob Effron· 2024年12月18日播客o1 Is a New Generation — and the Day AGI Arrives Will Feel Boring主持 Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.模型与训练Reasoning & test-time compute智能体工程+3
55:16EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月31日播客Gemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.主持 Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.产品与体验检索增强生成AI cost & performance+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 2024年10月9日播客A Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalization主持 Nathan LabenzCTO Anastasis Germanidis tells The Cognitive Revolution why video is a fuller record of the world than text, why physics shows up without being programmed in, and how a small lab competes with unlimited compute.多模态与媒体视觉与视频Generative media+3
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年8月14日播客A parrot cannot paraphrase — and Claude cannot be talked into harm主持 Nathan LabenzRobert Wright of the Nonzero podcast interviews Nathan Labenz on whether large language models understand anything, what Anthropic’s 10 million features actually show, and why open weights collide with U.S.–China policy.模型与训练Model InterpretabilityMultimodal AI+3
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