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2,845 件並び順
30:11ENFrom 12 Percent on AIME to IMO Gold in Two MonthsAlex Wei, Sheryl Hsu, and Noam Brown tell Sequoia's Sonya Huang how a three-person OpenAI sprint used general-purpose reinforcement learning, not Lean, to reach gold-level on the 2025 International Mathematical Olympiad.
1:16:25ENMartin Casado on AI Models, Open Technology and Venture Competitionゲスト Martin Casado · ホスト Harry StebbingsThe Andreessen Horowitz partner discusses coding tools, open-model policy, labor disruption and how his firm evaluates investments.
58:47ENDaniel Pontecorvo on Cooling Trading Infrastructure and WorkspacesYaron Minsky, Daniel Pontecorvo · Jane StreetFrom dense GPU racks to movable desks, Jane Street’s physical engineering team designs around heat, power, failure and human comfort.
2:14:55ENFrom Character AI to a 1% Warning Shot: Gabriel Weil's Case for Liability as AI Governanceホスト Nathan LabenzA Touro law professor tells Nathan Labenz how negligence, strict liability, and punitive damages could make frontier labs treat public risk as a hit to their own balance sheet.
1:27:41ENRon Minsky on the Saga of Multicore OCaml at Jane StreetYaron Minsky · Jane StreetA production migration exposed garbage-collector regressions, led to a new pacing design, and illustrated the difficulty of turning research into reliable infrastructure.
32:59ENA Hundred People, a Billion in Revenue, and Zero Venture Moneyホスト Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.
1:26:43ENAnthropic Dependency, Figma’s IPO and the Changing Seed Marketゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsJason Lemkin and Rory O’Driscoll join Harry Stebbings to discuss AI platform risk, public listings and competition for early-stage deals.
23:39ZH李沐:给文本大模型加入一千万小时语音,开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据,做成能听能说的 AudioLLM,并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来,以及怎么在 3090 上跑起来。
2:28:14ENNature Has Structure: Demis Hassabis on Learnable Reality and AGIゲスト Demis Hassabis · ホスト Lex FridmanThe Google DeepMind CEO argues that evolution-shaped systems can be modeled by classical learning, and that interactive world models sit on the path to AGI.
2:27ENWhat Jane Street Interns and Recruiters Say About ApplyingCharlie, Zeki, Kandasamy, Grace, Wes, Nae Nae, Alvin · Jane StreetInterns and recruiters describe the application process, problem-solving interviews, and how they think about finance experience.
37:37ENA dozen people, 28 minutes, and one shared desktopThe OpenAI trio behind ChatGPT Agent explain how Deep Research and Operator became a virtual computer that can reason for half an hour and still ask you before it spends money.
1:56:16ENSB 813 Would Hand AI Safety Checks to Licensed Private Firms — If Government Can Watch the Watchersホスト Nathan LabenzGillian Hadfield and Andrew Freedman want California to set AI safety outcomes, license competing certifiers, and give companies a rebuttable presumption in court if they pass.
1:07:41ENEdwin Chen on Building Surge and the Data Behind AI Modelsゲスト Edwin Chen · ホスト Harry StebbingsThe Surge founder discusses a bootstrapped business, training-data quality and the limits he sees in AI benchmarks and synthetic data.
47:05ENLogan Kilpatrick on AI Developers, Interfaces, and the Future of ModelsMatthew Berman, Logan Kilpatrick · Forward FutureIn a July 2025 conversation, Google’s Logan Kilpatrick discusses Windsurf, agent interfaces, coding skills, Veo, and the shifting boundary between models and application scaffolding.
51:06ENScott Wu on Cognition's Windsurf Deal and the Future of AI Codingゲスト Scott Wu · ホスト Harry StebbingsThe Cognition CEO explains the fast-moving acquisition, the role of AI agents in engineering, and his predictions for software development.
1:02:54ENEnterprise Coding Tools Flipped the 80/20. Reflection AI Built the Other Halfホスト Sarah Guo, Elad GilFormer Gemini reward-model lead Misha Laskin on Asimov, why comprehension beats generation, and why there is no such thing as generalization—only pulling the test distribution into train.
1:22:54ENWindsurf, Google and Cognition: A Deal Breakdown and the AI Coding Marketゲスト Rory O’Driscoll, Jason Lemkin · ホスト Harry StebbingsHarry Stebbings, Rory O’Driscoll and Jason Lemkin discuss a complex set of transactions, AI coding tools, retention and model competition.
49:55ENAravind Srinivas on Comet, AI Browsers and the Future of WorkMatthew Berman, Aravind Srinivas · Forward FuturePerplexity’s CEO explains why the company built a browser, how it evaluates models and why he expects AI to disrupt jobs.
38:10ENPlus Five for Format, Plus Ten if It Compilesホスト Nathan LabenzPredibase CEO Dev Rishi explains how reinforcement fine-tuning, production feedback, and narrow specialist models turn one-off training into systems that keep learning.
3:13ENHow Jane Street’s Strategy and Product Team Works Across the FirmLily, Andrew, Basma · Jane StreetTeam members describe rotations, cross-functional projects and the skills they use to tackle ambiguous problems.
12:14ENAI News: Windsurf’s Acquisition, Meta Compute Plans, Grok and VoxtralMatthew Berman · Forward FutureA July 2025 roundup examines developer-tool deals, AI infrastructure, model behavior, reward methods and speech recognition.
1:02:16ENVlad Tenev on Robinhood, Tokenized Assets and Building Financial Productsゲスト Vlad Tenev · ホスト Harry StebbingsThe Robinhood CEO discusses active traders, AI adoption, private-market tokens and the company’s plans for broader financial services.
6:08:48ENNobody Serious Believes Cookie Banners Help Anyoneゲスト DHH · ホスト Lex FridmanLex Fridman talks with David Heinemeier Hansson for six hours about Ruby, Rails, AI, leaving the cloud, Apple's App Store, and why a small company can still refuse other people's money.
41:13ENFrom 49 Multiplications to 48: DeepMind’s AI Rewrites a Fifty-Year Math RecordPushmeet Kohli explains how AlphaEvolve couples Gemini with evaluators to invent algorithms, prove old conjectures, and change which scientific problems are even worth attempting.
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