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2:16:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 2일팟캐스트From Two Papers a Month to Sixty: What Two Weeks in China Revealed About AI Safety진행자 Nathan LabenzNathan Labenz argues that the familiar 'China will never slow down' line does not survive contact with the actual Chinese AI safety ecosystem.보안과 안전안전과 거버넌스AI security+3
34:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 31일팟캐스트 · 2명Netic's Agents Answer the Phone When the Heat Breaks진행자 Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.기업과 전략음성 AIWorkflow automation+3
1:04:14EN
Unsupervised Learning: With Jacob Effron· 2026년 7월 31일팟캐스트The Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House진행자 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.에이전트AI startups & small teamsCompany Building+3
1:43:45EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 30일팟캐스트A $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win진행자 Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.보안과 안전AI security안전과 거버넌스+3
49:12EN
Sequoia Capital· 2026년 7월 29일팟캐스트The People Writing the Transformer’s Eulogy Want a Lab That Can Take Vacation Without Themo1’s reasoning lead and a Gemini pre-training lead argue the architecture, not more scale, is now the bottleneck — and that replacing it starts with automating kernel generation.모델과 학습AI researchPretraining & midtraining+3
3:46:18EN
Lex Fridman· 2026년 7월 28일팟캐스트 · 2명If You Take Slavery Out of the Picture, There Is No Civil War게스트 Gary Gallagher · 진행자 Lex FridmanIn 1860, enslaved people were worth more than every railroad and factory in the United States combined.Political PhilosophyLeadershipHistory
2:23:43EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 27일팟캐스트He Bought an Android, Two SIMs, and Left Claude Watching His Inbox진행자 Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.제품과 UXAI interface designPersonal agents+3
49:20EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 23일팟캐스트 · 2명Half of Ask DoorDash Orders Hit a New Restaurant. In Ten Years There Will Be More Dashers, Not Fewer.진행자 Sarah Guo, Elad GilCo-founders Andy Fang and Stanley Tang tell Sarah Guo how a conversational ordering interface moved DoorDash's hardest metric, why they built a 300-pound delivery robot in-house, and why autonomy means more human riders, not less.기업과 전략RoboticsProduct Strategy+3
51:31EN
Sequoia Capital· 2026년 7월 21일팟캐스트They Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.코딩 에이전트Harness engineeringModel routing & gateways+3
1:13:48EN
Unsupervised Learning: With Jacob Effron· 2026년 7월 16일팟캐스트Carriers Spend $200 Billion a Year. The Money Went Up the Stack진행자 Jacob EffronBenedict Evans tells Jacob Effron why analogizing AI to past platforms is a dead end, and why looking at how those platforms actually made money is not.기업과 전략AI Strategy엔터프라이즈 AI+3
48:55EN
Sequoia Capital· 2026년 7월 14일팟캐스트Anthropic's Platform Grew Three Layers in a Year — and Tokens Now Have JobsKatelyn Lesse and Angela Jiang tell Sequoia's Training Data how Anthropic went from a stateless Messages API to knowledge, execution, and coordination — without trying to own the servers.에이전트에이전트 엔지니어링Agent orchestration+3
2:23:38EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 12일팟캐스트Davidad Cut His p(doom) From the Seventies to Under 5% — and Named a Bodhisattva as the Alignment Target진행자 Nathan LabenzThe former ARIA Safeguarded AI director tells Cognitive Revolution why boxing superintelligence is too late, why he thinks models are climbing a U-shaped wisdom curve, and why the remaining risk is a race you cannot monitor.보안과 안전안전과 거버넌스AGI(범용 인공지능)+3
2:06:41EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 9일팟캐스트Zero the J-Space and a Model's Hidden Goal Lights Up on Token One진행자 Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.모델과 학습Model Interpretability안전과 거버넌스+3
50:57EN
Unsupervised Learning: With Jacob Effron· 2026년 7월 9일팟캐스트A Trillion Dollars of GPUs Will Be Worth $100 Billion in Five Years, Says LSTM's Jürgen Schmidhuber진행자 Jacob EffronThe AI pioneer tells Unsupervised Learning's Jacob Effron why he is wildly optimistic about the technology and deeply pessimistic about the model companies buying the chips.모델과 학습AGI(범용 인공지능)AI research+3
41:05EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 9일팟캐스트 · 2명There is no moat: Booking’s CEO on a $1 stock, agentic travel, and why AI still doesn’t move the numbers진행자 Sarah Guo, Elad GilGlenn Fogel cashed his 1999 bonus, joined Priceline in February 2000, and watched the Nasdaq peak a week later — then spent 25 years turning a near-delisting into a thousand-fold ride he now wants to spend on AI travel agents.기업과 전략엔터프라이즈 AIAI Strategy+3
55:19EN
Sequoia Capital· 2026년 7월 7일팟캐스트The drone is 15% of Zipline: 140 million miles, zero incidentsKeller Rinaudo Cliffton and Eric Watson explain why the aircraft is the small part of an automated logistics system now cheaper than a car.인프라와 배포RoboticsAutonomous Systems+3
1:47:38EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 4일팟캐스트19 Neurons Can Drive a Car. Liquid AI Wants Foundation Models on Every Chip진행자 Nathan LabenzRamin Hasani traces liquid neural networks from a worm's 300-cell brain to a 600-megabyte model that will talk from inside a Mercedes, and explains why architecture search now beats architecture avengers.모델과 학습Local inferenceScaling Laws+3
1:01:27EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 2일팟캐스트 · 2명Two Years and Four Months to a Live Reactor: Valar Atomics Wants Energy Ten Times Cheaper진행자 Sarah Guo, Elad GilIsaiah Taylor walks Sarah Guo through Ward 250 in Utah and argues that nuclear is a hardware-iteration problem, not a paper-design one.인프라와 배포Company Building안전과 거버넌스+3
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026년 7월 1일팟캐스트From 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Explore진행자 Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.기업과 전략파인튜닝Agent orchestration+3
3:51:47EN
Lex Fridman· 2026년 6월 30일팟캐스트 · 2명Forty-Six Percent of Emperors Were Overthrown. The Empire Lasted Anyway게스트 Anthony Kaldellis · 진행자 Lex FridmanHistorian Anthony Kaldellis walks Lex Fridman through 2,200 years of Roman history and argues that what we call Byzantium was Rome itself.Political PhilosophyGeopoliticsLeadership
1:10:15EN
Sequoia Capital· 2026년 6월 30일팟캐스트The 100x lives between the layers: Dylan Patel on co-design and a 60x yearSemiAnalysis’s founder argues that matching models, kernels, and silicon is what turns a 2x here and a 2x there into 100x, while equivalent-quality inference has gotten about 60 times cheaper in a year.인프라와 배포InferenceBenchmarks+3
1:57:46EN
Cognitive Revolution "How AI Changes Everything"· 2026년 6월 27일팟캐스트30% Consciousness, 47% Bee, 80% Turnover: Putting Numbers on What AI Is Becoming진행자 Nathan LabenzA Cognitive Revolution weekly cut that starts inside the model with Cameron Berg, then zooms out through gradual disempowerment, Europe’s bind, and the companies rebuilding around agents.기업과 전략안전과 거버넌스AI research+3
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 6월 26일팟캐스트 · 2명The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Models진행자 Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.평가와 관측 가능성평가(Evals)Benchmarks+3
44:52EN
Sequoia Capital· 2026년 6월 24일팟캐스트An 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.RAG와 지식Continual learning파인튜닝+3
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