필터 결과
83개정렬
21:02ENLimitless Pendant: A 2024 AI Wearable Launch and Its Privacy PromisesMatthew Berman, Dan Siroker · Forward FutureMatthew Berman watches the original Limitless announcement, weighing its promised recording features, consent controls and price against the risk of buying future functionality.
26:03ENGPT-4-Class Models Will Be Cheap. The Frontier Will Still Need a Patron.진행자 Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Mosaic’s Law, Microsoft’s Inflection hire, where the real money sits, and why the first AI wave looks consumer.
24:22ENJonathan Ross on Groq's Inference Chips, AI Economics and Human AgencyMatthew Berman, Jonathan Ross · Forward FutureThe Groq founder explains the company's compiler-first approach and argues that inference speed could enable new applications, while discussing risks of handing decisions to AI.
27:32ENFrom a side project to 700 integrations: Harrison Chase on what still blocks agents진행자 Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.
22:17ENQ* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.
16:27ENMatthew Berman Reviews EMO’s Audio-Driven Portrait Video ResearchMatthew Berman, Jensen Huang · Forward FutureAlibaba researchers animate a portrait from an image and vocal audio; Berman examines the method, its limitations and the implications for trust in video.
21:00ENJim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.
19:10ENThe World's Only Capped-Profit Company진행자 Sarah Guo, Elad GilNo Priors looks back at 2023 through eight conversations on money, intelligence, jobs, and who should put the guardrails on a model.
29:58ENRabbit R1’s 2024 Launch Demo: An AI Assistant Built Around ActionsMatthew Berman, Jesse Lyu · Forward FutureMatthew Berman reviews Rabbit’s launch presentation, from voice-controlled services and experimental teach mode to its proposed $199 device.
27:14ENSeven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inning진행자 Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.
29:38ENMarc Benioff on Salesforce, San Francisco and Personal Priorities게스트 Marc Benioff · 진행자 Harry StebbingsThe Salesforce co-founder discusses his AI ambitions, a five-question planning framework, philanthropy and work arrangements.
29:38ENA Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.진행자 Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.
23:20ENRishi Sunak on UK AI Policy, Talent and Education in 2023게스트 Rishi Sunak · 진행자 Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
28:48ENRishi Sunak on Talent, Investment and Policy Trade-Offs in 2021게스트 Rishi Sunak · 진행자 Harry StebbingsIn an interview recorded while he was chancellor, Sunak discusses startup-inspired policymaking, immigration proposals, the Future Fund and the limits of government action.
16:03ENQuantum Supremacy Is a Well-Defined Speedup, Not a Useful Task게스트 Scott Aaronson · 진행자 Lex FridmanScott Aaronson explains what Google's 53-qubit experiment actually demonstrated, how it was verified, and why complexity theory can offer evidence but not proof against classical spoofing.
20:44ENThe Staff Job That Became a Dictatorship: Stalin's Improbable Road to Power게스트 Stephen Kotkin · 진행자 Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.
20:34ENTeaching Machines the Frameworks Humans Take for Granted게스트 David Ferrucci · 진행자 Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
23:58ENEffective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.
24:22ENCraftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Musk게스트 Jim Keller · 진행자 Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.
21:43ENRented Cars, 27 Rejections and the Love Quotient: Arianna Huffington on Obsession and Recharging게스트 Arianna Huffington · 진행자 Lex FridmanThe Thrive Global and Huffington Post founder talks to Lex Fridman about mortality, failure, work obsession, polarized media and balancing ambition with love.
15:01ENDeep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks게스트 Daniel Kahneman · 진행자 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.
20:07ENThe Hard Problem and the Case for a Conscious Universe: David Chalmers on Consciousness게스트 David Chalmers · 진행자 Lex FridmanDavid Chalmers explains what consciousness is, why the hard problem resists physical explanation, and why he takes panpsychism seriously.
21:55ENQuantum Computing Without the Hype: Amplitudes, Interference and the Long Road to Error Correction게스트 Scott Aaronson · 진행자 Lex FridmanScott Aaronson explains what a quantum computer really is, why it is not just trying every answer at once, and why noise is the field's central obstacle.
18:45ENWhy Sean Carroll Thinks Many-Worlds Is the Cleanest Version of Quantum Mechanics게스트 Sean Carroll · 진행자 Lex FridmanThe Caltech physicist explains how Everett's idea works, answers the energy-conservation objection, and compares it with its rivals.
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