絞り込み結果
74 件並び順
29:38EN
20VC with Harry Stebbings· 2023年9月25日ポッドキャスト · 2 人Marc Benioff on Salesforce, San Francisco and Personal Prioritiesゲスト Marc Benioff · ホスト Harry StebbingsThe Salesforce co-founder discusses his AI ambitions, a five-question planning framework, philanthropy and work arrangements.
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月21日ポッドキャスト · 2 人A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト 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.
23:20EN20VC with Harry Stebbings· 2023年6月14日ポッドキャスト · 2 人Rishi Sunak on UK AI Policy, Talent and Education in 2023ゲスト Rishi Sunak · ホスト Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.
28:48EN20VC 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.
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.
20:44ENLex 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.
20:34ENLex 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.
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.
24:22ENLex 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.
21:43ENLex 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.
15:01ENLex 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.
20:07ENLex 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.
21:55ENLex Fridmanポッドキャスト · 2 人Quantum Computing Without the Hype: Amplitudes, Interference and the Long Road to Error Correctionゲスト Scott Aaronson · ホスト 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.
18:45ENLex Fridmanポッドキャスト · 2 人Why Sean Carroll Thinks Many-Worlds Is the Cleanest Version of Quantum Mechanicsゲスト Sean Carroll · ホスト Lex FridmanThe Caltech physicist explains how Everett's idea works, answers the energy-conservation objection, and compares it with its rivals.
23:57ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boomホスト Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.
23:54ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AIホスト Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
17:21ENLex Fridmanポッドキャスト · 2 人How Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intentゲスト Rohit Prasad · ホスト Lex FridmanAlexa's head scientist recalls the early days of the Echo, when far-field speech recognition seemed unsolvable and there were no customers to collect data from.
24:08ENLex Fridmanポッドキャスト · 2 人Intelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared Meaningゲスト David Ferrucci · ホスト Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.
23:11ENLex Fridmanポッドキャスト · 2 人Nick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the Riskゲスト Nick Bostrom · ホスト Lex FridmanIn a clip from the Lex Fridman Podcast, Oxford philosopher Nick Bostrom defines superintelligence, discusses intelligence explosions, and sketches what a good AGI future might look like.
15:43ENLex Fridmanポッドキャスト · 2 人Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Studyゲスト MIT-AVT · ホスト Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
26:01ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人After the OpenAI Saga: Governance, Incentives, Diffusion Models and Why Your ASP Is My Opportunityホスト Sarah Guo, Elad GilIn a host-only episode, Sarah Guo and Elad Gil unpack what OpenAI's leadership turmoil teaches about governance and incentives, then turn to AI video, small teams and the economics of AI investing.
17:19ENLex Fridmanポッドキャスト · 2 人From Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial Programゲスト Jim Keller · ホスト Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.
26:45ENLex Fridmanポッドキャスト · 2 人Start Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep Learningゲスト Andrew Ng · ホスト Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.
29:03ENNo Priors: AI, Machine Learning, Tech, & Startupsポッドキャスト · 2 人Notion's Simon Last on Rewriting the AI Harness Every Six Months and Managing a Swarm of Agentsホスト Sarah Guo, Elad GilThe Notion co-founder traces the product's path from a writing assistant to custom background agents, and describes how coding agents changed the way he builds.