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1:28:08ENThe same H100 costs 3x at AWS, and a four-month-old lab is catching genes the top sequencers missed진행자 Nathan LabenzA Cognitive Revolution weekly briefing on a possible U.S.–China AI hotline, why hyperscalers charge two to three times as much for identical chips, co-writing a novel with frontier models, and an AI loop that re-diagnosed a child a premier prenatal lab had cleared.
2:50:40ENThey Priced the Chance She Would Leave. Then They Handed Her the Letter.진행자 Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.
2:06:41ENZero 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.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative Video진행자 Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.
1:19:10ENA 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.
1:41:29ENFiverr’s CEO Sent a Wake-Up Memo: AI Won’t Take Your Job. A Peer Who Uses It Will.진행자 Nathan LabenzMicha Kaufman tells Nathan Labenz how a 15-year freelance marketplace is trying to give creators their own models instead of letting public AI eat their work for free.
2:27:59ENA 10-to-90% P(doom) Host Gets Asked If His Show Sounds Like It진행자 Nathan LabenzNathan Labenz and Liron Shapira sit on the same side of the table and test a week of AI news against the question of how likely extinction actually is.
54:45ENA 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.
46:47ENEditing Video Like a Document: How Descript Puts AI in the Copilot Seat진행자 Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.
1:03:22ENA 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demo진행자 Nathan LabenzJoshua Xu and Benchmark’s Victor Lazarte tell Nathan Labenz how a camera-replacement product grew past 40,000 business customers — and why half the faces on this episode are fake.
1:29:14EN55% of People Have Had a Lucid Dream. Prophetic AI Wants the Rest to Have One Every Night진행자 Nathan LabenzProphetic AI co-founders Eric Wollberg and Wesley Berry tell Ate-a-Pi how a headband of EEG and focused ultrasound, steered by a neural transformer, is meant to light up the prefrontal cortex during REM.
1:34:11ENFrom forty hours in a scanner to one: reconstructing what you see from a shared brain space진행자 Nathan LabenzPaul Scotti explains how MindEye2 maps a new person's fMRI into CLIP with an hour of data, and why a linear layer plus better image generators changed the cost of reading minds.
1:01:53ENCompanion Apps Open Twice as Often as TikTok. a16z Only Funds Weird but Working진행자 Nathan Labenza16z consumer partners Anish Acharya and Justine Moore walk Nathan Labenz through their Abundance Agenda for AI-native consumer apps.
1:21:28ENThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over Pixels진행자 Nathan LabenzThe Mixpanel founder tells Nathan Labenz how a cloud browser, a canceled tweet, and a Thursday weight drop shaped Playground AI’s bet on images.
1:30:21ENA Million DALL-E Images, Distilled into Twelve Minutes of Film진행자 Nathan LabenzWaymark’s Stephen Parker and Josh Rubin walk through how they turned stills from DALL-E 2 into The Frost, a narrative short, and what the next generation of video models changes.
2:32:49ENGPT-4 Failed a Hollow Top Hat. Hollywood's AI Deal Closed Only Half the Loopholes.진행자 Nathan LabenzWriter Trey Kollmer returns with a strike update, a copyright briefing, and a riddle that still fools the best model.
1:03:40ENWho Banks the AI Wave: Startups or the Giants Already in Place?진행자 Nathan LabenzStability AI’s Emad Mostaque and Slow Ventures’ Sam Lessin debate whether generative AI is a reshuffler for new companies or an extender for Meta, Google, and Hollywood.
1:41:45ENThe Writers Aren't Luddites. They're Bargaining Over Who Holds the Models진행자 Nathan LabenzThree WGA members tell Nathan Labenz what ChatGPT can already do in a writers’ room — and which two studio nightmares the strike is trying to lock out.
1:20:55ENA Custom Voice Used to Cost $10,000. Ten Minutes of Audio Now Clones It.진행자 Nathan LabenzPlay.ht CEO Mahmoud Felfel tells Nathan Labenz how text-to-speech jumped from robotic cloud APIs to director-level voice generation — and why the company is racing to put brakes on abuse.
1:02:57ENVirtual Biopsies in One Second: How a Seven-Year-Old CycleGAN Is Beating Newer Models in the Clinic진행자 Nathan LabenzTanishq Mathew Abraham explains how deep learning turns label-free 3D tissue images into virtual H&E stains fast enough to guide tumor surgery.
1:17:31ENImage AI Is Still at the GPT-2 Stage: Suhail Doshi on Building a Unified Vision Model진행자 Nathan LabenzPlayground AI's founder explains why image generation has barely begun to deliver real utility, and why his team is betting 2024 on editing and a single model that can create, edit and understand pixels.









