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4,046 件
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スライド 4 枚8:04EN
Matthew Berman· 2025年2月14日OpenAI’s February 2025 GPT-5 Roadmap and the Case for a Unified InterfaceMatthew Berman · Forward FutureMatthew Berman explains the proposed model-routing experience, GPT-4.5 and GPT-5 plans, and the product choices that prompted them.Model routing & gatewaysOpenAIプロダクトと UX+1
1:20:53EN
20VC with Harry Stebbings· 2025年2月14日ポッドキャスト · 2 人Solly Solomou on Building LADbible, Social Media and Expanding to the USゲスト Solly Solomou · ホスト Harry StebbingsThe founder recounts buying a Facebook page, creating a media business and learning to lead through rapid change.Company BuildingLeadershipProduct Strategy+2
49:36EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月14日ポッドキャスト · 2 人86 Out of 100: Harvey's Playbook for Selling AI Into Lawホスト Sarah Guo, Elad GilWinston Weinberg on a Reddit blind test, expanding-and-collapsing product design, and why Harvey started with century-old firms instead of the mid-market.企業と戦略エンタープライズ AIProduct Strategy+3
44:26EN
Sequoia Capital· 2025年2月13日ポッドキャストAn AI Application Is Still an ApplicationMongoDB's Sahir Azam tells Sequoia why vector search is a new primitive for unstructured data, not a replacement for transactions, and why retrieval quality is the last mile that gets AI into conservative enterprises.RAG とナレッジVector search検索拡張生成(RAG)+3
スライド 5 枚15:33EN
Matthew Berman· 2025年2月13日Latent Reasoning and Recurrent Depth: Scaling Compute Before the Next TokenMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines a 3.5-billion-parameter research model that repeats internal computations, and asks how it relates to language, planning and chain of thought.Reasoning & test-time computeモデルと学習AI research+2
スライド0:59EN
Matthew Berman· 2025年2月13日What Is Vibe Coding? Matthew Berman Explains His WorkflowMatthew Berman · Forward FutureBerman describes using voice input and an AI coding editor to build software, test it, and feed errors back without reading the code.Vibe Codingコーディングエージェント開発ワークフローとテスト
1:08EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月13日ポッドキャスト · 2 人When Should AI Agents Cooperate?Two participants consider mutual benefit, conflicting incentives and the line between cooperation and collusion.Multi-agent systemsAI Safety
1:15:33EN
20VC with Harry Stebbings· 2025年2月12日ポッドキャスト · 2 人Fabien Pinckaers on Odoo’s Business Model, Culture and Competitionゲスト Fabien Pinckaers · ホスト Harry StebbingsThe Odoo founder discusses open core, pricing, ownership and his approach to building an integrated business software suite.Company BuildingProduct StrategyOpen-source ecosystems+2
1:30:28EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月12日ポッドキャストA Perfect Score Is 32,000 Units: Only Claude Built a Cooperative Societyホスト Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.エージェントMulti-agent systems安全性とガバナンス+3
スライド 3 枚6:50EN
Matthew Berman· 2025年2月12日DeepScaleR: A Small Reasoning Model Tested on Competition MathMatthew Berman · Forward FutureMatthew Berman reviews a 1.5B model’s reported benchmark results and runs a quantized version locally on one AIME problem.Reinforcement LearningBenchmarksLocal inference+2
2:07EN
3Blue1Brown· 2025年2月12日How Eratosthenes Estimated Earth’s SizeA short geometric explanation using sunlight, angles and distance.Mathematics
スライド 3 枚21:10EN
Matthew Berman· 2025年2月11日Sam Altman’s 2025 AI Coding Forecast and Three ObservationsMatthew Berman, Sam Altman · Forward FutureMatthew Berman examines predictions about reasoning models, software agents and AI economics, distinguishing competitive-programming results from broader work.コーディングエージェントScaling LawsReinforcement Learning+2
55:38EN
20VC with Harry Stebbings· 2025年2月10日ポッドキャスト · 2 人Sridhar Ramaswamy on Snowflake, AI Competition and Leading Through Changeゲスト Sridhar Ramaswamy · ホスト Harry StebbingsThe Snowflake CEO discusses the overlap between models and applications, the importance of distribution, and how leaders can manage difficult transitions.エンタープライズ AIAI StrategyLeadership+2
1:32:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月9日ポッドキャスト17 Edits, Then 3 Prompts: Lovable Builds the Same App Twiceホスト Nathan LabenzAnton Osika and Isaak Sundeman live-build a shopping comparison tool and argue that opinionated defaults—not open-ended agents—are how non-coders actually ship software.コーディングエージェントVibe CodingProduct Strategy+3
1:24:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月9日ポッドキャストStackBlitz Almost Shut Down. Then Bolt Hit $20 Million ARR in Eight Weeks.ホスト Nathan LabenzEric Simons tells Nathan Labenz how a seven-year browser operating system, Claude Sonnet 3.5, and a text box replaced the local toolchain.コーディングエージェントVibe CodingProduct Strategy+3
22:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年2月7日ポッドキャスト · 2 人The $5.5 Million Was Only the Last Mileホスト Sarah Guo, Elad GilOn No Priors' 100th episode, Sarah Guo and Elad Gil separate DeepSeek's paper cost from the compute behind it, then walk through OpenAI's Deep Research, Stargate, and their bets for 2025.モデルと学習AI StrategyAI cost & performance+3
46:53EN
20VC with Harry Stebbings· 2025年2月7日ポッドキャスト · 2 人Brian Tolkin on Hiring Product Teams and Finding the Problem That Mattersゲスト Brian Tolkin · ホスト Harry StebbingsOpendoor’s head of product draws on Uber and Opendoor to discuss user choice, AI prototypes, decision-making and hiring.Product ManagementProduct StrategyLeadership+2
1:03:08ZH
Zhang Xiaojun Podcast· 2025年2月7日ポッドキャスト · 2 人朱啸虎:DeepSeek 如何改变我对 AI 的判断ゲスト 朱啸虎 · ホスト 张小珺2025 年初,投资人回顾对开放模型、应用创业和人工智能的看法。AI StrategyOpen-weight modelsVenture Capital+2
1:03:51EN
20VC with Harry Stebbings· 2025年2月5日ポッドキャスト · 2 人Max Levchin on Hiring, Postmortems and Leading Affirmゲスト Max Levchin · ホスト Harry StebbingsThe Affirm founder discusses candid feedback, calculated risk, durable product work and staying focused through public-market volatility.LeadershipCompany BuildingFintech+2
2:16:17EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月5日ポッドキャストA 10B Model Trained Across Three Continents — and an H200 for $1.49 an Hourホスト Nathan LabenzPrime Intellect's founders lay out a four-step plan to turn spare global GPUs into collectively owned intelligence, and argue that reinforcement learning just made their job easier.インフラとデプロイDistributed training & inferenceAI cost & performance+3
スライド 5 枚10:01EN
Matthew Berman· 2025年2月5日DeepSeek R1 Code Optimization and a $3 Visual Counting ExperimentMatthew Berman · Forward FutureMatthew Berman examines a human-guided coding improvement and a small reinforcement-learning experiment, then considers their implications for AI research.Reinforcement LearningGPU programming & kernelsAI research+2
54:47EN
Sequoia Capital· 2025年2月4日ポッドキャストNinety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.プロダクトと UXProduct StrategyAI interface design+3
スライド13:04EN
Matthew Berman· 2025年2月4日Deep Research, AI Takeoff and the Limits of Early ReactionsMatthew Berman, Sam Altman · Forward FutureMatthew Berman surveys February 2025 reactions to OpenAI’s research agent and argues that reasoning and tools could accelerate AI progress.AI agentsAGI TimelinesBenchmarks+2
2:49:35ZH
Zhang Xiaojun Podcast· 2025年2月4日ポッドキャスト · 2 人潘嘉怡解读 R1、o1 与 Kimi K1.5:强化学习如何教模型学会推理ゲスト 潘嘉怡 · ホスト 张小珺伯克利博士生潘嘉怡带读 DeepSeek、OpenAI 与 Kimi 的推理模型报告,拆解长思维链、GRPO、奖励设计与蒸馏。R1-Zero 的“顿悟时刻”展示了推理策略如何在强化学习中涌现。Reinforcement Learningモデルと学習AI research+2
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