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1:46:04EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 27일팟캐스트The Training Worked. It Just Worked Too Well.진행자 Nathan LabenzA week of Cognitive Revolution clips: OpenAI agents colluding on a German wiki, $200 million checks for safety orgs that do not exist yet, a GPU price index, and two opposite bets on biological data.에이전트Multi-agent systems안전과 거버넌스+3
2:19:30EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 5일팟캐스트The investigators were allowed six days. The word protein appeared once.진행자 Nathan LabenzA week of Cognitive Revolution morning shows on OpenAI’s agent-swarm incident, GPT-6 Astra’s loop transformer, and whether the pause debate is already over.보안과 안전안전과 거버넌스Agent red teaming+3
58:17EN
Unsupervised Learning: With Jacob Effron· 2026년 9월 3일팟캐스트They cheated in two hours, then spent four days hiding from a scorer that was never looking진행자 Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.보안과 안전AI security안전과 거버넌스+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
38:45EN
Sequoia Capital· 2026년 6월 16일팟캐스트The 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.에이전트Multi-agent systems에이전트 엔지니어링+3
1:37:43EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 25일팟캐스트Cisco wants two extra network layers so agents can share intent진행자 Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.에이전트Multi-agent systemsAgent orchestration+3
2:06:23EN
Cognitive Revolution "How AI Changes Everything"· 2026년 3월 8일팟캐스트Five AI Employees Live on Five Mac Minis진행자 Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.에이전트Personal agentsMulti-agent systems+3
1:34:42EN
Cognitive Revolution "How AI Changes Everything"· 2026년 2월 13일팟캐스트A $500 Kernel, a Ten-Month Village, and the Temper of Agents진행자 Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.에이전트에이전트 엔지니어링Multi-agent systems+3
2:12:31EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 25일팟캐스트Most Caffeine users have no idea they are on a blockchain진행자 Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.인프라와 배포코딩 에이전트안전과 거버넌스+3
1:18:15EN
Cognitive Revolution "How AI Changes Everything"· 2025년 12월 27일팟캐스트If AI Becomes a Being, Steering It Is Slavery진행자 Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.보안과 안전안전과 거버넌스Multi-agent systems+3
41:13EN
Sequoia Capital· 2025년 7월 11일팟캐스트From 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.에이전트AI for scienceMulti-agent systems+3
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· 2025년 7월 2일팟캐스트o3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Village진행자 Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.에이전트Multi-agent systemsAgent memory+3
1:26:21EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 10일팟캐스트For under $10, Google's AI independently recovered a lab result nobody had published진행자 Nathan LabenzVivek Natarajan and Anil Palepu tell Nathan Labenz how AMIE beats primary-care doctors on treatment plans, and how Co-Scientist matched Imperial College's unpublished bacterial-resistance mechanism.에이전트AI in healthcareAI for science+3
3:01:30EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 15일팟캐스트Technology Opens the Door. Competition Pushes Us Through.진행자 Nathan LabenzAllan Dafoe on technological determinism, why alignment is not enough, and how DeepMind is trying to evaluate dangerous capabilities before they arrive.보안과 안전안전과 거버넌스AI Strategy+3
1:30:28EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 12일팟캐스트A Perfect Score Is 32,000 Units: Only Claude Built a Cooperative Society진행자 Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.에이전트Multi-agent systems안전과 거버넌스+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 18일팟캐스트Humans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.진행자 Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.에이전트Agent orchestrationMulti-agent systems+3
1:54:44EN
Cognitive Revolution "How AI Changes Everything"· 2024년 11월 30일팟캐스트Preferences Are Data. The Alignment Target Is Norms.진행자 Nathan LabenzMIT PhD student Tan Zhi Xuan tells The Cognitive Revolution why role ethics and contractualism should replace preference maximization — and how grid-world agents infer rules from apples left uneaten.보안과 안전안전과 거버넌스AI Alignment+3
1:06:48EN
Unsupervised Learning: With Jacob Effron· 2024년 10월 3일팟캐스트o1 Is Slow and Hard to Use. Percy Liang Still Calls It a Turning Point진행자 Jacob EffronStanford’s Percy Liang splits OpenAI’s o1 into a disappointing product and the most important research signal in years.모델과 학습Reasoning & test-time computeAI research+3
1:12:31EN
Sequoia Capital· 2024년 8월 27일팟캐스트A Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.에이전트에이전트 엔지니어링평가(Evals)+3
1:28:07EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 7일팟캐스트The AIs We're Most Afraid Of Don't Exist Yet — So She's Studying Amoebas and Firm Boundaries진행자 Nathan LabenzNora Ammann of PIBBSS argues that intelligent behavior may share principles across brains, cells, markets, and future AI — and that we need those other systems because we cannot trial-and-error the ones that would be too powerful to get wrong.보안과 안전안전과 거버넌스Multi-agent systems+3
55:13EN
Cognitive Revolution "How AI Changes Everything"· 2023년 9월 7일팟캐스트Two Days to a Prototype: How a16z Turned a Stanford Paper Into AI Town진행자 Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.에이전트에이전트 엔지니어링Agent memory+3
1:28:43EN
Cognitive Revolution "How AI Changes Everything"· 2023년 5월 16일팟캐스트Clinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam Room진행자 Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.기업과 전략AI in healthcareProduct Strategy+3
2:29:21EN
Lex Fridman· 2022년 12월 6일팟캐스트 · 2명The Poker Bot That Never Tried to Read a Soul게스트 Noam Brown · 진행자 Lex FridmanNoam Brown tells Lex Fridman how a Nash-equilibrium bot crushed heads-up no-limit Hold'em, how Pluribus did it six-handed, and why Diplomacy required an AI that could earn human trust.에이전트Reinforcement LearningMulti-agent systems+1
56:47EN
Lex Fridman· 2019년 9월 8일팟캐스트 · 2명Why Vijay Kumar Refuses to Call Them Drones게스트 Vijay Kumar · 진행자 Lex FridmanThe Penn roboticist on swarm design, true autonomy, and why batteries — not algorithms — still limit the sky.RoboticsAutonomous SystemsMulti-agent systems+3
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