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17:51ENOpenAI’s 2023 Leadership Crisis and What Happened NextMatthew Berman · Forward FutureMatthew Berman reviews Sam Altman’s abrupt dismissal and the employee response as events stood on November 20, 2023; subsequent developments changed the outcome.
17:43ENOpenAI DevDay 2023: GPT-4 Turbo, Custom GPTs and Developer ToolsMatthew Berman, Sam Altman, Satya Nadella · Forward FutureMatthew Berman reviews OpenAI’s 2023 announcements, from longer context and cheaper API calls to custom GPTs and their implications for developers.
19:32ENAI News in October 2023: Disney Robotics, Creative Tools and Synthetic Driving DataMatthew Berman · Forward FutureMatthew Berman reviews a week of developments in robots, generative media, chips, satellite internet and AI copyright debates.
29:38ENMarc Benioff on Salesforce, San Francisco and Personal PrioritiesInvitado: Marc Benioff · Presenta: 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.Presenta: 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.
18:17ENAI News in September 2023: Apple, Model Releases and InfrastructureMatthew Berman · Forward FutureMatthew Berman surveys a week of consumer products, autonomous-driving claims, safety policies and research, alongside an unverified extraterrestrial claim.
15:49ENMatthew Berman on AI Adoption, Hype and the Case for CautionMatthew Berman · Forward FutureA 2023 response to a skeptical assessment of ChatGPT and Bing weighs early usage patterns, creative work and AI risks.
18:08ENSix Language Models Compared on an Informal 2023 Prompt SetMatthew Berman · Forward FutureMatthew Berman tests coding, writing and reasoning with H2O GPT, finding a tie under a small and subjective rubric.
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.
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.
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 2021Invitado: Rishi Sunak · Presenta: 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 FundingPresenta: 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 TaskInvitado: Scott Aaronson · Presenta: 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-CurvesPresenta: 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 PowerInvitado: Stephen Kotkin · Presenta: 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 GrantedInvitado: David Ferrucci · Presenta: 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 MuskInvitado: Jim Keller · Presenta: 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 GogginsPresenta: 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.
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