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2:09:42ENA Frontier Pause Would Help. America Will Not Sign One That Only Pauses the Frontier진행자 Nathan LabenzCarnegie fellow Anton Leicht tells Nathan Labenz why a six-month slowdown is technically overdue, why US-China incentives block it, and how Europe can still trade compute and ASML for a seat at the table.
3:15:53ENThe Goal Is Pax Robotica, Not Winning the AI Race진행자 Nathan LabenzAfter two weeks in China, Nathan Labenz argues the United States should trade chips for robots, keep a shared AI paradigm, and aim for mutual abundance instead of another sword of Damocles.
2:23:43ENHe 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.
1:34:42ENA $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.
1:43:19ENA $100 Million Super PAC Named Him Public Enemy Number One. Donations Went Up.진행자 Nathan LabenzIn the second half of Cognitive Revolution’s year-end live show, Assemblymember Alex Bores, former White House adviser Dean Ball, and forecaster Peter Wildeford argue over state AI laws, chip sales to China, and what 2026 will actually feel like.
2:49:12ENWhy China's Master Plan for AI Never Mentions AGI진행자 Nathan LabenzBeijing-based Concordia AI CEO Brian Tse on China's safety rules, chip strategy, and why the two ecosystems look more alike than Washington assumes.
2:04:27ENA 10% Chance of an AI-Enabled Coup in the Next 30 Years진행자 Nathan LabenzTom Davidson maps three ways superintelligent systems could help a head of state or a lab CEO lock in power—and argues the window for building safeguards is short.
3:17:35ENTen Thousand Comments and 76 Spare Gigawatts: Four Months Writing America's AI Action Plan진행자 Nathan LabenzDean W. Ball spent four months as the White House's senior AI adviser, then left as the Action Plan landed — and explains how a to-do list got written inside a building that cannot run ChatGPT.
1:14:05ENSullivan boils US-China AI competition down to four buckets, four examples, and a path he calls boring진행자 Nathan LabenzThe former national security advisor treats transformative AI as a planning assumption, not a prophecy, and wants Washington to compete hard with Beijing without pretending a grand bargain will cure the rivalry.
1:45:00ENAmerica Holds 45% of the World's Data Centers. Everyone Else Must Build, Buy, or Ally진행자 Nathan LabenzAnjney Midha of a16z maps what “sovereign AI” actually means for companies and for countries that will never own the talent, data, and compute frontier.
2:10:07ENA $30,000 Operation Could Knock a $10 Billion Superintelligence Data Center Offline for a Year진행자 Nathan LabenzGladstone AI’s Jeremy and Edouard Harris inventory what an American Manhattan Project for superintelligence would actually have to secure — and what it would cost in concrete, supply chains, and civil liberties.
1:28:01ENThe Q* Letter Never Happened: Helen Toner on OpenAI, Adaptation Buffers, and AI at War진행자 Nathan LabenzThe former OpenAI director explains why a famous Reuters story was false, why locking down AI will not work, and how military “battle buddy” demos skip the hard questions.
1:37:40ENChina, Japan, and Korea fought only one war in six centuries진행자 Nathan LabenzFrom 1200 to 1800, East Asia’s great powers stayed at peace while Europe fought almost without pause — and David C. Kang argues that history still shapes how Asia lives with China.
3:01:30ENTechnology 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.
1:30:57ENAnt's $320 Billion IPO Was Stopped at the Eleventh Hour: Angela Zhang on China's Tech Tightrope진행자 Nathan LabenzA USC law professor walks through the dynamic pyramid that governs Chinese tech, from Didi's listing to DeepSeek's price war, and why she thinks the United States is starting to look more like China.
1:56:38ENo3 took ARC from 20% to 87%. Nathan Labenz sketches early superintelligence진행자 Nathan LabenzOn Consistently Candid, the Cognitive Revolution host argues that math and coding will be superhuman by 2026, and that a reasoning core plus specialist “intuitive physics” may already be enough.
1:08:51ENChip Controls Are Meant to Buy Ten Years, Not Win the AI Race진행자 Nathan LabenzEconomist Noah Smith tells Nathan Labenz that U.S. export controls are a piece of conventional deterrence against China — not a plan to kneecap DeepSeek.
1:15:17ENAn AI Arms Race Is Not Physics. It Is a Choice.진행자 Nathan LabenzNathan Labenz argues with Trump’s former NSC cyber director over China, chips, and whether words can stop a militarized AI race.
1:23:57ENA Training Run Is a Particle Collider—and the China Contest Is a Fifty-Year Race진행자 Nathan LabenzSamo Burja tells Nathan Labenz why ChatGPT's virality may have slowed AI science, and why Washington should treat Beijing as an economic rival rather than a military one.
1:23:10ENThe night Flo Crivello slept five hours: GPT-4 never hit a wall진행자 Nathan LabenzThe Lindy AI founder walks Nathan Labenz through timelines, misuse, open-source risk, and why two longtime libertarians now want regulation.
31:04ENThe Risk Is Not China Copying. It Is America Refusing to Use the Tools진행자 Nathan LabenzAt the 2024 Hill & Valley Forum, Alex Wang, Jack Clark, and Andrew Ng tell Senator Cory Booker that Chinese labs are inventing, open-source models are already strong, and the Pentagon’s real AI failure is under-adoption.
1:37:52ENChina Has 17 Million Chatbot Users and No OpenAI진행자 Nathan LabenzA Beijing-based watcher walks through China's LLM players, products, regulation, and the delayed bill from the U.S. chip ban.
2:16:27ENSuperhuman Go Has a Blind Spot. Balaji Bets on a War of the Gods진행자 Nathan LabenzBalaji Srinivasan tells Nathan Labenz why adversarial inputs, missing actuators, and cryptography make a single runaway AI god less likely than a contest among many that still need priests.
1:03:46ENWhen Code Costs a Dime, You Throw the App Away진행자 Nathan LabenzLindy founder Flo Crivello tells Nathan Labenz how an AI employee learns APIs from documentation, why GPT-4 made quality the only metric that matters, and why even he wants aviation-style rules for AI.
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