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3,983 件
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スライド0:51EN
Matthew Berman· 2025年2月19日Mira Murati Announces Thinking Machines LabMatthew Berman · Forward FutureMatthew Berman reviews the new AI lab’s stated goals in its February 2025 announcement.AI startups & small teamsAI researchOpen-source ecosystems
1:00:09EN
Sequoia Capital· 2025年2月18日ポッドキャストDeepSeek's Jailbreaks Don't Matter. Giving the Model Arms and Legs DoesPalo Alto Networks CEO Nikesh Arora tells Sequoia's Training Data why cheap brains scramble the AI order, why attackers already move faster than defenders, and why refusing to experiment is the real risk.セキュリティと安全性AI security安全性とガバナンス+3
スライド 4 枚13:24EN
Matthew Berman· 2025年2月18日Grok 3’s 2025 Launch: Benchmarks, Reasoning and DeepSearchMatthew Berman, Elon Musk · Forward FutureMatthew Berman reviews xAI’s launch charts, a historical user-preference leaderboard and an early product demonstration.Foundation ModelsBenchmarksReasoning & test-time compute+1
1:25:52EN
20VC with Harry Stebbings· 2025年2月17日ポッドキャスト · 2 人Jonathan Ross on Groq, Inference Economics and the AI Infrastructure Raceゲスト Jonathan Ross · ホスト Harry StebbingsThe Groq CEO explains his bet on inference chips, compares his company’s architecture with GPUs, and discusses the financing and power needed to scale.インフラとデプロイモデルと学習AI cost & performance+2
53:07ZH
Zhang Xiaojun Podcast· 2025年2月17日ポッドキャスト · 2 人张亚勤:信息智能、物理智能与生物智能的 AGI 路线图ゲスト 张亚勤 · ホスト 张小珺张亚勤把 AGI 的发展分为信息、物理和生物三类智能:信息智能可能在五年内接近人类,通用机器人约需十年,生物智能则可能在二十年后扩展人的记忆与健康。他也讨论大模型如何为自动驾驶和机器人补上数据、常识与行动能力。AGI(汎用人工知能)RoboticsAI research+2
スライド 6 枚18:05EN
Matthew Berman· 2025年2月16日OpenAI’s Coding-Competition Study: o1-ioi, o3 and the Limits of the ResultsMatthew Berman, Sam Altman · Forward FutureMatthew Berman interprets OpenAI’s 2025 paper on reinforcement learning and programming contests. The results are strong on the studied benchmarks, but do not establish AGI or remove humans from model development.Reasoning & test-time computeReinforcement LearningBenchmarks+2
スライド 4 枚3:20:53ZH
Zhang Xiaojun Podcast· 2025年2月15日ポッドキャスト · 2 人何俊贤解读 DeepSeek 论文:从基座模型到推理训练ゲスト 何俊贤 · ホスト 张小珺沿论文脉络理解 MoE、注意力缓存、训练效率和强化学习。AI researchモデルと学習Reinforcement Learning+1
45:31EN
Matthew Berman· 2025年2月15日Jerry Chow on Quantum Computing, Encryption, AI and Error CorrectionMatthew Berman, Jerry Chow · Forward FutureIBM’s quantum systems director explains qubits, cryogenic hardware, software and the work needed to make quantum computers useful.Quantum MechanicsCybersecurityAI research
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月15日ポッドキャストShe Never Sees a Row of Your Data. The Answers Still Clear 95%.ホスト Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.RAG とナレッジコンテキストエンジニアリングKnowledge graphs+3
1:07EN
Cognitive Revolution "How AI Changes Everything"· 2025年2月15日ポッドキャストHow Interacting AI Agents Could Change the Wider SystemA speaker argues that simultaneous AI adoption could create unexpected interactions between agents.AI agents
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
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
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