필터 결과
271개정렬
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.
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.
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.
1:57:46ENCognitive 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.
36:19ENNo 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.
2:29:20ENCognitive Revolution "How AI Changes Everything"· 2026년 6월 23일팟캐스트The Market Will Not Choose an Honest Model진행자 Nathan LabenzJournalist Robert Wright tells Nathan Labenz that AI is a selection problem, a geopolitical problem, and a moral test humanity may not pass.
2:14:33ENCognitive Revolution "How AI Changes Everything"· 2026년 6월 21일팟캐스트A 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight Washington진행자 Nathan LabenzZvi Mowshowitz reads Fable's system card, then Nathan Labenz stress-tests the export-control fight against lawyers, safety researchers, and builders who did not pause.
2:38:44ENCognitive Revolution "How AI Changes Everything"· 2026년 6월 20일팟캐스트Twenty-one months from an autonomous researcher, the Action Plan's author joins OpenAI진행자 Nathan LabenzDean Ball is building Strategic Futures as OpenAI's public timeline counts down to an AI research intern in three months and a full autonomous researcher in March 2028.
1:44:28ENCognitive Revolution "How AI Changes Everything"· 2026년 6월 13일팟캐스트Fable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed over진행자 Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.
1:22:36ENCognitive Revolution "How AI Changes Everything"· 2026년 6월 6일팟캐스트A Thousand Researchers, a Million AIs: Frontier Labs Start Talking About the Brakes진행자 Nathan LabenzThe first week of AI in the AM follows OpenAI's timeline for an ML-intern model this year and a human-level AI researcher by early 2028 — and the closed-door meeting where labs admitted they might one day need to slow down together.
56:10EN
Unsupervised Learning: With Jacob Effron· 2026년 6월 1일팟캐스트Reid Hoffman Pledged a Billion to Free DeepMind. Hassabis Never Played the Card진행자 Jacob EffronSebastian Mallaby's biography of Demis Hassabis, discussed with Jacob Effron, is a story of a founder who tried to stop the AI race and then became one of its central players.
41:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026년 5월 28일팟캐스트 · 2명After Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big Ones진행자 Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.
1:41:58ENCognitive Revolution "How AI Changes Everything"· 2026년 5월 26일팟캐스트A thousand people on guard, a million in the sprint진행자 Nathan Labenz80,000 Hours founder Ben Todd on how to spend a career in the years when your impact on AI will actually peak.
2:13:11ENCognitive Revolution "How AI Changes Everything"· 2026년 5월 24일팟캐스트The Models Understand Shutdown. They Just Don't Care.진행자 Nathan LabenzPalisade Research's Jeffrey Ladish on shutdown resistance, open-weight self-replication, and why all compute looks like food to a strategic agent.
1:21:56ENUnsupervised Learning: With Jacob Effron· 2026년 5월 15일팟캐스트Yann LeCun Left Meta Because LLMs Will Not Get You to Intelligence진행자 Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.
2:38:48ENCognitive Revolution "How AI Changes Everything"· 2026년 4월 26일팟캐스트A thousand searches for five cents, and a high score that did not require cheating진행자 Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.
3:36:29ENCognitive Revolution "How AI Changes Everything"· 2026년 4월 23일팟캐스트Claude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed Neutral진행자 Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.
2:31:27ENCognitive Revolution "How AI Changes Everything"· 2026년 4월 15일팟캐스트An AI store manager, a 2.6-star rating, and a constitution nobody has to keep진행자 Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.
3:10:49ENCognitive Revolution "How AI Changes Everything"· 2026년 4월 11일팟캐스트Crunch Time: Ajeya Cotra's Playbook for the Months Before Superintelligence진행자 Nathan LabenzA conversation on recursive self-improvement, public warning systems, and using each generation of AI to align and control the next.
58:46ENUnsupervised Learning: With Jacob Effron· 2026년 4월 9일팟캐스트Two Dates from OpenAI's Chief Scientist: Intern by September, Automated Researcher by 2028진행자 Jacob EffronJakub Pachocki tells Jacob Effron why those timelines still hold, why continual learning is not a detour, and why showing chain of thought in the product would train the monitor away.
1:44:15ENCognitive Revolution "How AI Changes Everything"· 2026년 4월 1일팟캐스트Nathan Labenz's p(doom) Is 10 to 90 Percent. He Is More Optimistic Anyway진행자 Nathan LabenzFive years ago, expecting AGI by 2035 made you an extremist. On The Intelligence Horizon, the Cognitive Revolution host explains why the same forecast now sounds bearish, and why he still thinks a defense-in-depth strategy might keep society on the rails.
3:27:22ENCognitive Revolution "How AI Changes Everything"· 2026년 3월 19일팟캐스트The AI Table Has Three Seats Left: Zvi on the Middle Game, Jobs, and Anthropic's Promises진행자 Nathan LabenzOn his 12th Cognitive Revolution appearance, Zvi Mowshowitz argues early 2026 is the start of the middle — with only three labs still playing, a real job shock underway, and Anthropic's safety commitments reduced to trust us.
1:18:46ENCognitive Revolution "How AI Changes Everything"· 2026년 3월 16일팟캐스트90 Slides in 45 Minutes: A Full-Time AI Scout Admits He Can No Longer Keep Up진행자 Nathan LabenzNathan Labenz’s LexLab briefing for lawyers runs through the good, the bad, and the weird of frontier models — from triplicate second opinions on his son’s cancer care to AIs that know they are being tested.
1:43:39ENCognitive Revolution "How AI Changes Everything"· 2026년 3월 11일팟캐스트Five Mutations Could Make a 60% Fatal Bird Flu Spread Between People진행자 Nathan LabenzJohns Hopkins assistant professor Jassi Pannu argues for locking down only the sliver of functional data that teaches models how to make pandemic viruses — and keeping the rest of biology open.더 보기271개 중 24개 표시