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1:30:54EN
Cognitive Revolution "How AI Changes Everything"· 2026년 10월 3일팟캐스트Humanoids Outran Usain Bolt. DeepMind Still Scores Robotics as GPT-2진행자 Nathan LabenzGoogle DeepMind's Gemini Robotics lead on why sprinting is easy, frying an egg is hard, and one brain should drive any body.에이전트RoboticsMultimodal AI+3
1:01:14EN
Cognitive Revolution "How AI Changes Everything"· 2026년 5월 20일팟캐스트The Model Eats the Scaffolding: How Google Plans to Ship Agents Everywhere진행자 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.기업과 전략에이전트 엔지니어링Distillation+3
1:57:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 4월 4일팟캐스트Frontier vision models score 12.5%: Joseph Nelson on the real waterline of computer vision진행자 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.멀티모달과 미디어Multimodal AI비전과 영상+3
1:01:38EN
Sequoia Capital· 2026년 1월 6일팟캐스트13-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.모델과 학습RoboticsReinforcement Learning+3
39:16EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 11월 19일팟캐스트 · 2명500 Gloves, 10 Million Trajectories, and a $10,000 Home Robot진행자 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· 2025년 11월 11일팟캐스트A 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.멀티모달과 미디어Generative mediaMultimodal AI+3
1:00:26EN
Sequoia Capital· 2025년 11월 6일팟캐스트Seven 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.멀티모달과 미디어Generative media비전과 영상+3
42:20EN
Unsupervised Learning: With Jacob Effron· 2025년 9월 17일팟캐스트A Name Invented at 2:30 a.m. Put Gemini on Top of the App Store진행자 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.멀티모달과 미디어Multimodal AIGenerative media+3
1:55:02EN
Cognitive Revolution "How AI Changes Everything"· 2025년 8월 30일팟캐스트A hundred experiments a day, and the valley of death in materials진행자 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.에이전트AI for scienceAutonomous Systems+3
2:28:14EN
Lex Fridman· 2025년 7월 23일팟캐스트 · 2명Nature Has Structure: Demis Hassabis on Learnable Reality and AGI게스트 Demis Hassabis · 진행자 Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.기업과 전략World modelsAGI(범용 인공지능)+3
35:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 6월 5일팟캐스트 · 2명Fei-Fei Li’s new bet: AI is incomplete without spatial intelligence진행자 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.멀티모달과 미디어Multimodal AI비전과 영상+3
53:51EN
Sequoia Capital· 2025년 6월 3일팟캐스트Veo 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.멀티모달과 미디어비전과 영상Generative media+3
1:19:10EN
Cognitive Revolution "How AI Changes Everything"· 2025년 5월 11일팟캐스트A Robot-Arm Shot That Took Months Now Lives in a Prompt진행자 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.멀티모달과 미디어Generative mediaMultimodal AI+3
38:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 5월 1일팟캐스트 · 2명o3 should wait exactly as long as the answer takes진행자 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.모델과 학습Reasoning & test-time computeReinforcement Learning+3
40:54EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 4월 17일팟캐스트 · 2명Discovery rates collapsed tenfold. KoBold still found a 5% copper deposit진행자 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.기업과 전략AI for scienceData quality & curation+3
1:43:54EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 23일팟캐스트A Year to Grow a Brain Organoid, an Hour to Simulate It진행자 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.모델과 학습AI for scienceComputational Biology+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 3월 20일팟캐스트 · 2명Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.진행자 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.모델과 학습RoboticsData quality & curation+3
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 3일팟캐스트With One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o진행자 Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.멀티모달과 미디어Multimodal AI비전과 영상+3
1:07:32EN
Unsupervised Learning: With Jacob Effron· 2024년 12월 18일팟캐스트o1 Is a New Generation — and the Day AGI Arrives Will Feel Boring진행자 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.모델과 학습Reasoning & test-time compute에이전트 엔지니어링+3
55:16EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 31일팟캐스트Gemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.진행자 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.제품과 UX검색 증강 생성(RAG)AI cost & performance+3
54:45EN
Cognitive Revolution "How AI Changes Everything"· 2024년 10월 9일팟캐스트A Few Megabytes of Doom and a Few Gigabytes of Model: Why Runway Bets on Generalization진행자 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.멀티모달과 미디어비전과 영상Generative media+3
2:04:15EN
Cognitive Revolution "How AI Changes Everything"· 2024년 8월 14일팟캐스트A parrot cannot paraphrase — and Claude cannot be talked into harm진행자 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.모델과 학습Model InterpretabilityMultimodal AI+3
1:16:22EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 9일팟캐스트He Spent 20 Hours Crafting a Prompt. DSPy Beat Him Anyway진행자 Nathan LabenzSander Schulhoff walks through The Prompt Report — a 78-page survey of what actually works when you prompt large language models.Prompting & in-context learningPrompt optimization에이전트 엔지니어링+3
1:37:07EN
Cognitive Revolution "How AI Changes Everything"· 2024년 6월 22일팟캐스트A Text-Only AI Outdiagnosed GPs. Google Still Won't Ship It.진행자 Nathan LabenzGoogle researchers Vivek Natarajan and Khaled Saab walk Nathan Labenz through five medical-AI papers, from radiology reports to an AI doctor that still has to earn trust.모델과 학습AI in healthcareMultimodal AI+3
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