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4,239 件
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41:54EN
All-In Podcast· 2026年10月15日ポッドキャスト · 2 人Billy Evans on Elizabeth Holmes’s Trial, Prison and Their Familyゲスト Billy Evans · ホスト David FriedbergIn an All-In interview, Holmes’s husband describes their relationship, his view of the fraud case and a forthcoming documentary.Company BuildingLeadership
56:49EN
Stanford AI Club· 2026年10月15日Alfred Lin on Building in the AI Era: The Diffusion Gap, Founder Conviction, and Fire and IceAlfred Lin, Jason Zhang, Tanvir Bhathal · Sequoia CapitalAt Stanford AI Club, Sequoia’s Alfred Lin explains where he sees opportunity in AI and why learning, human understanding, and operating discipline still shape enduring companies.Company BuildingAI startups & small teamsVenture Capital+2
17:42EN
Hard Fork· 2026年10月14日ポッドキャスト · 2 人Mark Zuckerberg’s Changing Style and the Image of Techゲスト Vanessa Friedman · ホスト Max ReadVanessa Friedman and Max Read discuss clothing, shopping and wearable technology.Social MediaProduct Design
27:15EN
Reid Hoffman· 2026年10月14日ポッドキャスト · 2 人AI Anxiety, Hiring and Trust in Advertisingホスト Reid Hoffman, Aria FingerReid Hoffman and Aria Finger discuss a survey and the practical questions behind public concern.AI StrategyHiring
スライド 3 枚2:51:22EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月14日ポッドキャスト · 4 人AI Minds and 8 mm Memories: Research, Archives and Simulationゲスト Cameron Berg, Phil Maher · ホスト Nathan Labenz, Prakash NarayananCameron Berg discusses hidden model states; Phil Maher explains preserving home movies and a fly-brain demo.ConsciousnessAI researchAI Safety+2
1:49:56EN
Latent Space· 2026年10月14日ポッドキャスト · 3 人Ian Quigley on Drug-Discovery Data, Model Shortcuts and Replayable Experimentsゲスト Ian Quigley · ホスト Brandon Anderson, RJ HonickyLeash Bio’s CEO explains DNA-encoded screening, hard generalization tests and agents that explore previously measured chemical landscapes.Drug DiscoveryAI for scienceData quality & curation+1
24:05EN
How I AI· 2026年10月14日ポッドキャストA First Look at Meta Muse Wonder on Agent and Design Tasksホスト Claire VoClaire Vo reports strengths and weaknesses from her own small evaluation.評価(Evals)AI agents
2:17:48EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月14日ポッドキャストAgent IDs Are Empty, Rogue Agents Are Coming, and We Might Have to Bargainホスト Nathan LabenzGovAI’s Alan Chan scores two years of agent-governance infrastructure with Nathan Labenz, then walks through a recursive-self-improvement paper co-authored with OpenAI’s Jakub Pachocki and Anthropic’s Jack Clark.エージェント安全性とガバナンスAI security+3
51:02EN
Every· 2026年10月14日ポッドキャスト · 2 人Matt Hartman on Hugging Face, Technical Founders and Product Insightゲスト Matt Hartman · ホスト Natalia QuinteroThe Factorial Capital investor discusses pivots, founder networks and what building his own AI app taught him about software.Venture CapitalProduct StrategyCompany Building+1
58:26EN
Conversations with Tyler· 2026年10月14日ポッドキャスト · 2 人Liaquat Ahamed on 1873, Gold and the Politics of Financial Crisesゲスト Liaquat Ahamed · ホスト Tyler CowenTyler Cowen challenges the historian on deflation, monetary systems and debt.HistoryEconomicsPolitical Philosophy
スライド 7 枚38:30EN
Theo - t3․gg· 2026年10月14日Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.Geminiコーディングエージェント評価(Evals)+2
1:34:17EN
The Pragmatic Engineer· 2026年10月14日ポッドキャスト · 2 人Inside Uber’s Developer Infrastructure for AI Agentsゲスト Uday Kiran Medisetty · ホスト Gergely OroszUday Kiran Medisetty explains gateways, context, background coding and review.開発ワークフローとテストエージェント工学インフラとデプロイ
スライド 5 枚12:14EN
Matthew Berman· 2026年10月14日Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksコーディングエージェント+1
58:49EN
a16z· 2026年10月14日ポッドキャスト · 2 人Nathan Lambert on Open Models, Frontier Labs and Trilliumゲスト Nathan Lambert · ホスト Lisha LiA discussion of compute, post-training data and an open research agenda for understanding AI automation.Open-weight modelsAI researchモデルと学習+2
スライド 4 枚44:12EN
SemiAnalysis· 2026年10月14日ポッドキャスト · 3 人GLM 5.3, Sparse Attention and the Cost of Inferenceゲスト Kimbo Chen, Wenyao Gao · ホスト Jordan NanosSemiAnalysis examines memory bottlenecks, AMD and NVIDIA serving results, post-training and support for Chinese chips.InferenceOpen-weight modelsSemiconductors+1
55:32EN
The Knowledge Project Podcast· 2026年10月13日ポッドキャスト · 2 人Ryan Serhant on Selling, Time and the Cost of Ambitionゲスト Ryan Serhant · ホスト Shane ParrishA real-estate broker discusses relationships and career lessons with Shane Parrish.SalesTime ManagementCareer Growth
スライド 5 枚10:36EN
Matthew Berman· 2026年10月13日Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.モデルと学習BenchmarksAI cost & performance+1
1:20:35EN
Invest Like The Best· 2026年10月13日ポッドキャスト · 2 人David Vélez on Building Nubank and Banking’s AI Futureゲスト David Vélez · ホスト Patrick O'ShaughnessyThe founder discusses digital banking economics, global expansion and organizational change.Fintech金融 AILeadership
1:08:02EN
Sequoia Capital· 2026年10月13日ポッドキャストAlphaGo Took Two Years. AlphaZero Took Hours. Silver Is Making the Same Bet on SuperintelligenceDavid Silver and Lasse Espeholt left DeepMind to build Ineffable Intelligence, a twenty-person lab that wants a superlearner to discover science, math, and language from experience rather than from a pre-training run.モデルと学習Reinforcement LearningRL environments & simulators+3
スライド 8 枚38:02EN
Theo - t3․gg· 2026年10月13日Meta’s Muse Wonder Full: A Coding Agent Tested Against Opus and SolTheo Browne · Ping LabsTheo Browne tests Meta’s new model on code review, debugging, delegation and benchmarks, finding promising strengths alongside important limits.コーディングエージェントAI cost & performanceモデルと学習
スライド 2 枚0:36EN
Matthew Berman· 2026年10月13日OpenAI Employee Charged in Recording-Device InvestigationMatthew Berman · Forward FutureMatthew Berman discusses the reported discovery of a recording device and OpenAI’s account of its investigation.セキュリティと安全性OpenAIPrivacy & data governance
0:53EN
All-In Podcast· 2026年10月13日ポッドキャストJason Calacanis on How AI Could Change Coding TogetherA short reflection on coding camaraderie and the shift toward delegating work to agents.コーディングエージェントSoftware engineering
25:16EN
All-In Podcast· 2026年10月12日ポッドキャスト · 2 人Martin Shkreli on Quantum Computing, Drug Development and Prisonゲスト Martin ShkreliThe investor explains his bearish quantum thesis, discusses pharmaceutical opportunities and reflects on the thinking that preceded his conviction.InvestingAI cost & performanceDrug Discovery
スライド 7 枚18:18EN
Theo - t3․gg· 2026年10月12日Why AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.AI cost & performanceコーディングエージェントモデルと学習
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