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26:08ENFewer Than 3% of Deals Get Investigated. Selling to the Monopolist Is What Triggers the FTC.Presenta: Sarah Guo, Elad GilChair Lina Khan tells No Priors how merger review actually works in AI markets, why open-weight models matter, and why the agency banned most non-competes.
50:20ENArvind Narayanan on AI Scaling, Real-World Risks and the Limits of Model BenchmarksInvitado: Arvind Narayanan · Presenta: Harry StebbingsThe Princeton professor challenges simple claims about scaling, AGI timelines and AI adoption while discussing deepfakes, healthcare, education and security.
1:06:53ENMatt Clifford on AI Scaling, China, Defense and Finding FoundersInvitado: Matt Clifford · Presenta: Harry StebbingsThe Entrepreneur First co-founder weighs new AI ideas against compute constraints, examines competing scenarios for China, and explains how he evaluates entrepreneurial talent.
1:25:42ENReid Hoffman on AI Models, Inflection, Governance and Technology’s Social ImpactInvitado: Reid Hoffman · Presenta: Harry StebbingsHoffman discusses the Microsoft–Inflection arrangement, AI competition and regulation, and his political views in a time-specific 2024 interview.
54:00ENDouwe Kiela on Data, Retrieval and Enterprise AIInvitado: Douwe Kiela · Presenta: Harry StebbingsThe Contextual AI CEO discusses language model trade-offs, evaluation, open models and the hurdles to enterprise use.
1:16:44ENAlex Lebrun on AI Assistants for Doctors, Model Limits and Building NablaInvitado: Alex Lebrun · Presenta: Harry StebbingsThe Nabla co-founder explains his approach to healthcare AI, lessons from Facebook and his 2023 views on competition and regulation.
23:20ENRishi Sunak on UK AI Policy, Talent and Education in 2023Invitado: Rishi Sunak · Presenta: Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
1:11:11ENEmad Mostaque on Open AI Models, National Data and the Race to DeployInvitado: Emad Mostaque · Presenta: Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.
1:06:02ENYann LeCun on Open AI Models, Safety and the Future of ResearchInvitado: Yann Lecun · Presenta: Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.
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.
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.









