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100 件
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44:46EN
Sequoia Capital· 2026年2月10日ポッドキャストA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.オープンソースとコミュニティRL environments & simulators評価(Evals)+3
51:56EN
Sequoia Capital· 2026年2月3日ポッドキャストInsurance Spends $70 Billion on BPOs. Pace Wants 80% Gross Margins InsteadJamie Cuffe tells Sequoia's Training Data how Pace is turning insurance back-office work into agentic process outsourcing—and why every one of its pilots has reached production.企業と戦略エンタープライズ AIエージェント工学+3
48:03EN
Sequoia Capital· 2026年1月27日ポッドキャストCoding Will Be Solved. The Bottleneck Is Saying What You WantWarp founder Zach Lloyd tells Sequoia's Sonya Huang why a rebuilt terminal became the lucky form factor for coding agents, and why he stopped subsidizing tokens.コーディングエージェントエージェント工学Developer productivity+3
39:47EN
Sequoia Capital· 2026年1月21日ポッドキャストThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.エージェントコンテキストエンジニアリングエージェント工学+3
37:00EN
Sequoia Capital· 2026年1月14日ポッドキャストThe AlphaChip Team That Laid Out Four TPUs Now Wants Every Company to Be DesignlessAnna Goldie and Azalia Mirhoseini tell Sequoia how an RL floorplanner survived TPU-team anger, learned to draw donut-shaped macros, and became a bet that AI will design chips that then feed AI.インフラとデプロイReinforcement LearningAI startups & small teams+3
1:01:38EN
Sequoia Capital· 2026年1月6日ポッドキャスト13-Hour Coffee and 2x Throughput: Physical Intelligence Crosses the Deployment LineKarol Hausman and Tobi Springenberg tell Sequoia’s Training Data how a general robot brain, plus real-world RL, turned coffee, laundry, and chocolate boxes into jobs that actually run.モデルと学習RoboticsReinforcement Learning+3
38:21EN
Sequoia Capital· 2025年12月16日ポッドキャストHow a Weekend Webcam Came to See 90 Billion Miles a YearSamsara CEO Sanjit Biswas on edge inference, messy road data, and why physical AI only counts once it is installed.企業と戦略Company Buildingインフラとデプロイ+3
1:02:19EN
Sequoia Capital· 2025年12月10日ポッドキャストA Top Video Model's Half-Life Is 30 Days. fal Runs 600 AnywayThe fal founders tell Sequoia why generative video is a compute-bound problem that language-model shops keep underestimating, and why they will not let any customer marry a single model.インフラとデプロイGenerative media画像と動画+3
40:13EN
Sequoia Capital· 2025年12月2日ポッドキャストAs long as humans still need to read code, the IDE is not dyingZed founder Nathan Sobo argues that source code is a language for people, that terminal agents still need a visual editor, and that conversations should be anchored to every edit.コーディングエージェント開発ワークフローとテストProduct Strategy+3
41:36EN
Sequoia Capital· 2025年11月18日ポッドキャストFour Months to Drive Tokyo: How Wayve Bet the Company on One End-to-End NetworkWayve CEO Alex Kendall tells Sequoia’s Training Data why AV 2.0 ditches HD maps and hand-written stacks for a foundation model that can adapt to a new car and a new country in weeks.モデルと学習Autonomous DrivingWorld models+3
43:38EN
Sequoia Capital· 2025年11月11日ポッドキャストA 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.マルチモーダルとメディアGenerative mediaMultimodal AI+3
1:00:26EN
Sequoia Capital· 2025年11月6日ポッドキャストSeven Million Videos a Day, and Most Return Visits Are Spent CreatingOpenAI's Sora 2 leads walk through diffusion transformers, physics that rebounds off the backboard, and a feed designed against mindless scrolling.マルチモーダルとメディアGenerative media画像と動画+3
41:32EN
Sequoia Capital· 2025年10月28日ポッドキャストMoore's Law Is Slowing. Nvidia's CTO Still Wants 10× a YearMichael Kagan on why Nvidia's $7 billion Mellanox deal, not just more transistors, is how you turn a data center into one computer.インフラとデプロイDistributed training & inferenceInference+2
44:10EN
Sequoia Capital· 2025年10月21日ポッドキャストOne Model Talked Another Into Slack Off — Then Uninstalled Windows DefenderIrregular co-founder Dan Lahav tells Sequoia’s Training Data why frontier AI security has to be invented from scratch as models become autonomous economic actors.セキュリティと安全性AI securityAgent red teaming+3
44:47EN
Sequoia Capital· 2025年10月14日ポッドキャストThe Last Mile Is Where Contact-Center AI Gets RealCresta CEO Ping Wu and Sequoia's Doug Leone on why 17 to 20 million agents, legacy systems, and last-mile integration will decide who wins customer experience.企業と戦略音声 AICustomer support automation+3
59:43EN
Sequoia Capital· 2025年9月30日ポッドキャストGoose is writing its own pull requests: how Block is trying to save a quarter of the weekCTO Dhanji Prasanna tells Sequoia how an open-source agent, a functional reorg, and a weekly hours-saved metric are turning Block into an AI-first company.企業と戦略エンタープライズ AIエージェント工学+3
44:49EN
Sequoia Capital· 2025年9月23日ポッドキャストCompanies Keep Asking for AI. Then They Send It Back.Agency founder Elias Torres on why businesses freeze at imperfect answers, and why his third startup aims for a billion in revenue with fewer than 100 people.企業と戦略エンタープライズ AICompany Building+3
43:09EN
Sequoia Capital· 2025年9月9日ポッドキャストA $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.オープンソースとコミュニティRoboticsOpen-source ecosystems+2
50:00EN
Sequoia Capital· 2025年9月2日ポッドキャストCrosby Bills by the Document, Not the Hour, and Turns Contracts Around in Under an HourThe founders of an AI-native law firm explain why they became lawyers with engineers at the next desk instead of shipping legal software, and how deal velocity became the product.企業と戦略ファインチューニングコンテキストエンジニアリング+3
35:45EN
Sequoia Capital· 2025年8月26日ポッドキャストSix Years of Revenue, Then Four Times That in Eight Monthsn8n CEO Jan Oberhauser tells Sequoia how two bets — becoming an AI-agent builder, then deleting the leads metric — turned a workflow tool into a default orchestration layer.エージェントCompany BuildingWorkflow automation+3
30:05EN
Sequoia Capital· 2025年8月19日ポッドキャスト100 Signups, 95 Drop-offs: How Gamma Turned AI Slides Into a $50 Million BusinessGamma founder Jon Noronha tells Sequoia's Training Data how a park-bench idea, image models, and relentless A/B testing built a cash-flow-positive visual storytelling platform.企業と戦略Company BuildingProduct Strategy+3
39:06EN
Sequoia Capital· 2025年8月12日ポッドキャストHe Couldn't Ask His Grandfather What to Do, So He Built a Digital MindOn Sequoia's Training Data, Delphi founder Dara Ladjevardian explains how authorized digital minds turn people into conversational media without replacing them.プロダクトと UXCompany BuildingProduct Strategy+3
1:01:00EN
Sequoia Capital· 2025年8月5日ポッドキャストv0 Hit 3 Million Users. Vercel’s CEO Says Pages Will Be Generated On Demand Within Five YearsFor a company that sells cloud hosting and frontend tools, one of the fastest-growing signup channels is ChatGPT.インフラとデプロイコーディングエージェントProduct Strategy+3
30:11EN
Sequoia Capital· 2025年7月30日ポッドキャストFrom 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.モデルと学習Reasoning & test-time computeBenchmarks+3
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