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353개정렬
19:38ENOrca: Teaching a Smaller Model with GPT-4 ExplanationsMatthew Berman · Forward FutureMatthew Berman reviews Microsoft Research’s 2023 Orca paper and its approach to training a 13-billion-parameter model on detailed teacher responses.
20:48ENMatthew Berman’s ChatGPT Coding Workflow: Build, Test, and IterateMatthew Berman · Forward FutureA 2023 walkthrough builds a Python command-line chat client while showing how to plan, debug, and revise AI-generated code. The software interfaces and model limits described are historical.
15:37ENAI News in March 2023: Firefly, Gen-2, Bard and Job ExposureMatthew Berman · Forward FutureMatthew Berman reviews early generative media launches, a labor-exposure study and single-image view synthesis.
17:06ENA 2023 Walkthrough of the ChatGPT API and a Python Naming AppMatthew Berman · Forward FutureMatthew Berman explains the GPT-3.5 Turbo launch, tokens and temperature, then runs an older DaVinci-based Flask example.
25:42ENGraham and Andrea Work Through a Trading Mock InterviewMichael, Graham, Andrea · Jane StreetA 20-sided die game shows how a trading interview can develop through clarification, quantitative estimates and collaborative problem-solving.
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.
17:19ENMoney Is a Game of Points: Vitalik Buterin on Coordination, Public Goods, and Quadratic Funding진행자 Lex FridmanVitalik Buterin explains money as a social point system, why value can survive without physical backing, and how quadratic funding tries to fix public-good underfunding.
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.
26:02ENMoore’s Law Is Not Dead—It Is a Cascade of S-Curves진행자 Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
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.
25:44ENWhy Functional Programming Matters at Jane StreetSebastian Funk · Jane StreetA Jane Street developer revisits John Hughes’s classic argument and explains why expressive static types rank highest for trading systems.
28:31ENIncremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.
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.
19:24ENLex Fridman's 30-Day Challenge: 20,000 Push-ups and Pull-ups, With Advice From David Goggins진행자 Lex FridmanLex Fridman explains how a tweet became a month-long physical and mental test, and what David Goggins told him about suffering, injuries and habit.
21:41ENFrom Simulated Majorities to "You Are Probably Simulated": Bostrom on the Missing Step in the Simulation Argument진행자 Lex FridmanNick Bostrom explains to Lex Fridman why the simulation argument rests on a much weaker assumption than the Doomsday argument, and where its physical limits might lie.
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.
25:06ENLiving Inside the Brain's Story: Joscha Bach on Simulation, Self and Consciousness진행자 Lex FridmanIn a clip from his conversation with Lex Fridman, Joscha Bach argues that consciousness, identity and even God are software-like patterns, and that we exist inside a narrative our brain generates.
19:13ENJudgment Is the Craft: Robby Stein's Three-Chapter Playbook for Product Managers in the AI Era진행자 Lenny RachitskyGoogle Search's Robby Stein says a PM's core skill is decision making, and walks through how to understand people, diagnose root causes and polish the craft, with AI helping at each step.
28:48ENWhy Claude Still Needs a PM: Anthropic's Product Leaders on Judgment, Agents and Parallel Bets진행자 Lenny RachitskyAt the Lenny and Friends Summit, Anthropic's Ami Vora and Mike Krieger tell Dan Shipper how the product role is changing when technology shifts every couple of months.
21:50ENSharpen the Knife: Why Simplicity Wins in Product, Story, and Life진행자 Lenny RachitskyA product leader’s case for building the one indispensable thing, using familiar patterns, and telling the story customers already know.
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