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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 ProductsInvitado: Vlad Tenev · Presenta: 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 AnyoneInvitado: DHH · Presenta: 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.
1:28:48ENDoctors code at 45%. The model beat them by 12 points — then 4,000 physicians had to try it once.Presenta: Nathan LabenzAmbience Healthcare and Cleveland Clinic walk through the AI scribe that cut pajama time, climbed ICD-10 with reinforcement fine-tuning, and won 75% voluntary use.
1:12:57ENMeta’s AI Talent Drive, Microsoft Layoffs and the Economics of Startup GrowthInvitado: Rory O’Driscoll, Jason Lemkin · Presenta: Harry StebbingsHarry Stebbings, Rory O’Driscoll and Jason Lemkin examine talent competition, stock compensation, acquisitions and the changing market for venture-backed companies.
44:44EN$1 of R&D, 35x the return: why Parker Conrad says platforms beat point solutionsPresenta: Sarah Guo, Elad GilThe Rippling CEO on Zenefits, founder psychology, and why shared underlying capabilities—not narrow focus—win in enterprise software.
31:03EN21 Ways to Use AI for Coding, Research and Everyday TasksMatthew Berman, Alex · Forward FutureMatthew Berman and editor Alex demonstrate AI workflows for documents, creative work, decisions, travel and reminders.
47:07ENGoodfire’s Eric Ho thinks we will decode neural nets by 2028On Sequoia’s Training Data, the interpretability founder argues that sparse autoencoders, model editing, and a third-party lab are how AI stops being grown from data and starts being designed.
1:42:06ENEvery Frontier Lab Is Spending a Billion a Year on Data. Here Is Where It GoesPresenta: Nathan LabenzLabelbox CEO Manu Sharma on the $15 billion Scale deal, RL “gyms,” $250,000 trainers, and why post-training now eats the budget that used to belong to pre-training.
1:14:02ENScott Galloway on Wealth, Work, Relationships and PurposeInvitado: Scott Galloway · Presenta: Harry StebbingsThe professor and entrepreneur discusses market power, generational inequality and the personal cost of tying identity to money.
2:57:07ZH余凯:从人工智能研究到地平线的创业十年Invitado: 余凯 · Presenta: 张小珺地平线创始人余凯回顾三十年的研究与创业经历,讲述如何选择技术方向、聚焦汽车市场,以及他对人工智能未来的判断。
1:19:46ENSuspended from Columbia, He Raised $15 Million to Cheat on EverythingPresenta: Nathan LabenzRoy Lee, founder of Cluely, argues that an undetectable desktop overlay, AI maximalism, and a post-AGI life of 800-year spans are the same bet.
49:27ENFrom 0.1% to 20%: Chai-2 Turns Antibody Design Into Prompt EngineeringPresenta: Sarah Guo, Elad GilChai Discovery co-founders Joshua Meier and Jack Dent tell Sarah Guo how a generative model now designs antibodies that bind on the first 24-well plate.
1:15:40ENFigma’s IPO Filing, Melio’s Sale and the Pressure on Software InvestorsInvitado: Rory O’Driscoll, Jason Lemkin · Presenta: Harry StebbingsHarry Stebbings, Rory O’Driscoll and Jason Lemkin examine software valuations, venture returns and the AI market’s changing economics.
1:09ENA Discussion of GPT-4.5’s Scaling and TrainingA speaker offers an assessment of GPT-4.5’s cost, speed and alleged training challenges.
1:25:32ENo3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI VillagePresenta: Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.
1:04ENWhy AI Companies Might Offer Researchers Enormous Pay PackagesMatthew Berman · Forward FutureMatthew Berman and a guest discuss the economics of competing for AI talent, comparing reported compensation offers with a hypothetical acquisition.
59:27ENAaron Levie on AI Agents, Jobs and the Future of Enterprise SoftwareMatthew Berman, Aaron Levie · Forward FutureBox’s CEO explains his AI-first strategy, why he expects demand to grow and how humans may direct and review agents.
2:53ENJane Street Interns on Projects, Mentorship and LearningDylan · Jane StreetFormer interns and staff describe the learning, open-ended projects and relationships that shaped their internship experience.
59:38ENElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.
1:04:33ENPhilipp Freise on KKR’s European Investing and Private-Market LiquidityInvitado: Philipp Freise · Presenta: Harry StebbingsThe KKR investor discusses deployment discipline, AI, European capital markets and broader access to private investments.
27:40ENSeedance 1.0 vs. Veo 3: An Informal Text-to-Video ComparisonMatthew Berman · Forward FutureMatthew Berman compares visual quality, motion and prompt adherence across gymnastics, action, animation and fantasy scenes.
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