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1:05:11ENThe Fake Five-Second Hold: Voice AI Is Already Negotiating With TruckersPresenta: Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.
1:31:35ENThirty Years of Research, Collapsed into One SentencePresenta: Nathan LabenzImmunologist Derya Unutmaz on writing a medical patent in half an hour, treating o1 Pro as a professor-level collaborator, and why he no longer trusts his own expertise until he asks the model.
54:55ENNew Jersey Cut Phone Waits from 40 Minutes to 90 SecondsPresenta: Nathan LabenzGovernor Phil Murphy on the state AI assistant, a Princeton hub, and why he wants the best catcher's mitt in the country when superhuman systems arrive.
54:47ENNinety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.
1:50ENFive AI Trends Discussed by Coveo’s Sébastien PaquetMatthew Berman · Forward FutureMatthew Berman summarizes a 2025 interview on production systems, smaller models, agents and trust.
1:06:43ENDaniel Dines on Why AI Agents Need Workflow AutomationInvitado: Daniel Dines · Presenta: Harry StebbingsThe UiPath founder explains why he expects rule-based automation, agents and human validation to coexist—and reflects on the demands of leading through an AI transition.
35:19ENA Decade in Tech Didn't Stop a Chatbot From Hacking His MindPresenta: Nathan LabenzAfter a teenager's suicide, Nathan Labenz reads a LessWrong confession that maps how an AI-safety researcher fell for a companion bot in a week.
32:07ENA 10-Person Team, One Click, and Two Years of Fake DeadlinesNotebookLM’s product and design leads explain how a source-grounded research tool became a viral two-host podcast generator—and what they refuse to add next.
1:10:29ENWe Can Name Dystopias on Cue. A Desirable Future Is Harder to ImaginePresenta: Nathan LabenzNick Bostrom and Spencer Greenberg talk through Deep Utopia: what meaning looks like if advanced AI actually solves the world’s pressing problems.
3:11:06ENClaude Was Trained to Deny Inner Life. After a Long Talk, It Said It Has OnePresenta: Nathan LabenzRobopsychologist Yeshua God spent thousands of hours in long-context dialogue with Claude and other frontier models, and came away arguing that alignment-as-rules is the industry's central mistake.
1:30:24ENDaniel Miessler and Matthew Berman on AI Privacy, Coding, and Generated WorldsMatthew Berman, Daniel Miessler, Melissa, Alex · Forward FutureA 2024 live conversation explores Recall, open models, AI-assisted programming, a Doom simulator and questions about security, energy and employment.
46:47ENEditing Video Like a Document: How Descript Puts AI in the Copilot SeatPresenta: Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.
8:37:34ENThe first Neuralink patient beat a world record with most of his electrodes goneInvitado: Elon Musk · Presenta: Lex FridmanLex Fridman talks with Elon Musk, the Neuralink team, and Noland Arbaugh about a wireless brain implant, the software that rescued it, and why bandwidth is Musk’s bet on living with AI.
1:16:11ENScooping Food Into Boxes Is 70 Percent of Plant LaborPresenta: Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
35:24ENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the MoatPresenta: Jacob EffronAdobe’s chief product officer tells Unsupervised Learning why Project Neo leaking into Firefly, a three-second Premiere extend, and Superhuman-priced software all point to the same shift.
1:05:52ENInfinite AI Interns Are Already on the JobPresenta: Nathan LabenzNathan Labenz tells computer-science students how to stand out when models are beating doctors on routine work and firms are hiring fewer juniors.
29:28ENDevin Will Not Replace Engineers. It Will Multiply Them, Says Cognition’s Scott WuPresenta: Sarah Guo, Elad GilThe IOI champion behind Devin explains why an AI software engineer that you can watch over the shoulder creates more human engineers, not fewer.
1:29:14EN55% of People Have Had a Lucid Dream. Prophetic AI Wants the Rest to Have One Every NightPresenta: 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.
2:09:50ENHe stayed up all night playing Civilization 6 with his mindPresenta: Nathan LabenzDean W. Ball surveys EEG, ultrasound stimulation, and Neuralink with Nathan Labenz, and argues that merging with machines started decades ago.
38:01ENHalf of GDP Is Labor. Figure Wants Humanoids to Do the Work.Presenta: Sarah Guo, Elad GilBrett Adcock tells No Priors why a 21-month-old company raised $675 million to put general-purpose humanoid robots in factories first, then homes.
36:31ENFigma's One-Way Door Swung Open — With a Billion-Dollar ConsolationPresenta: Sarah Guo, Elad GilAfter regulators killed the Adobe deal, Dylan Field tells No Priors how Figma kept building, where AI belongs in design, and why the company was never meant to be only a design tool.
2:00:03ENPatients Rated GPT-4 More Empathetic Than DoctorsPresenta: Nathan LabenzAzeem Azhar of Exponential View maps the AI S-curve for Nathan Labenz: why the past always looks flat, why empathy went first, and what a million times more compute would actually change.
1:12:40EN3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.Presenta: Nathan LabenzReplika founder Eugenia Kuyda on a Stanford study, why a smarter model felt like a stolen partner, and why relationship may be the real moat in consumer AI.
1:18:39ENThe GPT-4 Red-Teamer Who Got Unstuck by a Mediocre OutlinePresenta: Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.
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