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1:09:54ENA $100 Doctor Visit and a $1 AI: GPT-4 Was Already Unbundling WorkPresenta: Nathan LabenzBefore GPT-4 launched, Nathan Labenz spent two months making the model play a dozen paid professions, then argued with Erik Torenberg about what that does to jobs, regulation, and white-collar status.
1:33:49ENSafe Only Because It's Weak: A GPT-4 Red-Teamer and Two Founders Debate the PausePresenta: Nathan LabenzNathan Labenz, who spent six months trying to make GPT-4 misbehave, wants labs to stop training anything bigger; Chroma's Anton Troynikov and Lindy's Flo Crivello argue a six-month freeze buys little and may select for the least careful labs.
11:28ENCan AI Development Be Paused? The 2023 Open Letter and Its Trade-OffsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines the call to pause training systems more powerful than GPT-4, the concerns behind it and the difficulties of coordination.
3:08ENDavid Guetta’s AI-Generated Eminem Voice and the Questions It RaisesMatthew Berman, David Guetta · Forward FutureMatthew Berman discusses a synthetic vocal played during a DJ set and considers consent, creative use and possible legal disputes.
1:44:47ENErik Brynjolfsson on the Exponential Mismatch Remaking Work and PoliticsInvitado: Erik Brynjolfsson · Presenta: Lex FridmanThe Stanford economist tells Lex Fridman why COVID, AI, and social networks all punish linear intuition — and why shared prosperity is the only way the pie-growing story holds.
1:48:55ENThree Fairness Rules That Cannot All Be TrueInvitado: Michael Kearns · Presenta: Lex FridmanMichael Kearns tells Lex Fridman why algorithmic fairness is messier than privacy, and why a Pareto curve belongs in front of the people who actually have to choose.
1:00:38ENThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle SafetyPresenta: Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.
1:23:56ENA Three-Month Window: The AI 2027 Authors on Superhuman Coders, Faked Alignment and Who Ends Up in ControlPresenta: Jacob EffronDaniel Kokotajlo and Thomas Larsen walk through their AI 2027 scenario, where they disagree on timelines and alignment, and what they think governments and the public should do.
53:39ENA Libertarian's Case for Regulating AI: Kill Switches, Chip Choke Points and a New Form of LifePresenta: Nathan LabenzLindy founder Flo Crivello explains why a self-described accelerationist makes an exception for superintelligence, and what he thinks of Biden's executive order.
47:13ENReid Hoffman's Case Against Doomerism: AI as the Steam Engine of the MindPresenta: Sarah Guo, Elad GilThe LinkedIn and PayPal co-founder explains why he sees AI as a human amplifier, what white-collar workers should do now, how Inflection's Pi was conceived, and why you can't regulate before you innovate.
1:12:15ENThe Open-Model Vibe Check: China, Containment, and the Data MoatPresenta: Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.
2:18:07ENGambling on Trump for the AI Era: Nathan Labenz and Samuel Hammond Argue the StakesPresenta: Nathan LabenzA long, good-natured debate over whether Trump's high-variance, ideas-driven coalition or a stable incrementalist Democratic establishment is the better bet for governing AI, China policy and a possible intelligence explosion.









