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371 件
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スライド 5 枚19:38EN
Matthew Berman· 2023年6月9日Orca: 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.DistillationファインチューニングSynthetic data+2
スライド 5 枚20:48EN
Matthew Berman· 2023年4月24日Matthew 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.Developer productivitySoftware engineeringHuman-AI Collaboration+2
スライド 9 枚15:37EN
Matthew Berman· 2023年3月22日AI 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.Generative mediaFuture of WorkAI research+2
スライド 5 枚17:06EN
Matthew Berman· 2023年3月11日A 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.開発ワークフローとテストFoundation ModelsPrompt optimization+2
25:42EN
Jane Street· 2022年11月8日Graham 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.MathematicsHiringCareers
28:48EN
20VC with Harry Stebbings· 2022年10月25日ポッドキャスト · 2 人Rishi Sunak on Talent, Investment and Policy Trade-Offs in 2021ゲスト Rishi Sunak · ホスト 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.EntrepreneurshipVenture CapitalLeadership+2
17:19EN
Lex Fridman· 2020年3月17日ポッドキャストMoney Is a Game of Points: Vitalik Buterin on Coordination, Public Goods, and Quadratic Fundingホスト 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.PhilosophyCryptocurrencyPolitical Philosophy+2
16:03EN
Lex Fridman· 2020年2月22日ポッドキャスト · 2 人Quantum Supremacy Is a Well-Defined Speedup, Not a Useful Taskゲスト Scott Aaronson · ホスト 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.BenchmarksScience Communication
26:02EN
Lex Fridman· 2020年2月9日ポッドキャストMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.インフラとデプロイSemiconductorsScaling Laws+3
20:44EN
Lex Fridman· 2020年1月5日ポッドキャスト · 2 人The Staff Job That Became a Dictatorship: Stalin's Improbable Road to Powerゲスト Stephen Kotkin · ホスト Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.Political PhilosophyLeadershipGeopolitics+2
20:34EN
Lex Fridman· 2019年10月26日ポッドキャスト · 2 人Teaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG とナレッジAI researchAGI(汎用人工知能)+3
スライド 7 枚25:44EN
Jane Street· 2017年3月9日Why 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.Programming LanguagesSoftware engineeringCoding Culture
スライド 8 枚28:31EN
Jane Street· 2017年3月9日Incremental: Self-Adjusting Computations in OCamlSebastian Funk · Jane StreetSebastian explains Jane Street’s dynamic dependency graph library and the algorithms behind efficient updates.Programming LanguagesSoftware engineeringDeveloper productivity
23:58EN
Jane Street· 2016年3月31日Effective 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.Programming LanguagesSoftware engineeringCode review & verification
24:22EN
Lex Fridmanポッドキャスト · 2 人Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Muskゲスト Jim Keller · ホスト 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.モデルと学習Autonomous DrivingAutonomous Systems+3
19:24EN
Lex FridmanポッドキャストLex Fridman's 30-Day Challenge: 20,000 Push-ups and Pull-ups, With Advice From David Gogginsホスト 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.
21:41EN
Lex FridmanポッドキャストFrom Simulated Majorities to "You Are Probably Simulated": Bostrom on the Missing Step in the Simulation Argumentホスト 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.Simulation HypothesisPhilosophyExistential Risk
21:43EN
Lex Fridmanポッドキャスト · 2 人Rented Cars, 27 Rejections and the Love Quotient: Arianna Huffington on Obsession and Rechargingゲスト Arianna Huffington · ホスト Lex FridmanThe Thrive Global and Huffington Post founder talks to Lex Fridman about mortality, failure, work obsession, polarized media and balancing ambition with love.Company BuildingLeadershipPhilosophy+3
15:01EN
Lex Fridmanポッドキャスト · 2 人Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacksゲスト Daniel Kahneman · ホスト 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.モデルと学習Deep LearningAI research+3
20:07EN
Lex Fridmanポッドキャスト · 2 人The Hard Problem and the Case for a Conscious Universe: David Chalmers on Consciousnessゲスト David Chalmers · ホスト Lex FridmanDavid Chalmers explains what consciousness is, why the hard problem resists physical explanation, and why he takes panpsychism seriously.Philosophy of MindConsciousness & IntelligencePhilosophy+1
25:06EN
Lex FridmanポッドキャストLiving Inside the Brain's Story: Joscha Bach on Simulation, Self and Consciousnessホスト 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.PhilosophyPhilosophy of MindConsciousness & Intelligence+3
19:13EN
Lenny's PodcastポッドキャストJudgment Is the Craft: Robby Stein's Three-Chapter Playbook for Product Managers in the AI Eraホスト 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.プロダクトと UXProduct ManagementProduct Leadership+3
28:48EN
Lenny's PodcastポッドキャストWhy Claude Still Needs a PM: Anthropic's Product Leaders on Judgment, Agents and Parallel Betsホスト 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.プロダクトと UXProduct ManagementAI Product Management+3
21:50EN
Lenny's PodcastポッドキャストSharpen the Knife: Why Simplicity Wins in Product, Story, and Lifeホスト Lenny RachitskyA product leader’s case for building the one indispensable thing, using familiar patterns, and telling the story customers already know.プロダクトと UXProduct StrategyProduct Management+3
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