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4,082 件
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1:01:47EN
20VC with Harry Stebbings· 2025年1月17日ポッドキャスト · 2 人Eran Zinman on monday.com’s Pivot, Marketing Engine and Move Upmarketゲスト Eran Zinman · ホスト Harry StebbingsThe monday.com co-founder explains how early customer feedback, cash-focused marketing and a multi-product platform shaped the company’s growth.Company BuildingProduct StrategyLeadership+2
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年1月16日ポッドキャスト · 2 人Bilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't Sellホスト Sarah Guo, Elad GilJesse Zhang on why customer support is the golden agent use case, why instruction following beats o1-style reasoning, and the two filters that kill most agent startups.エージェントCustomer support automationAgent orchestration+3
1:13:30EN
20VC with Harry Stebbings· 2025年1月15日ポッドキャスト · 2 人Victor Riparbelli on Synthesia, AI Video and the Future of Contentゲスト Victor Riparbelli · ホスト Harry StebbingsThe Synthesia co-founder discusses fundraising, enterprise renewals, model competition, synthetic media and content provenance.Generative mediaAI StrategyCompany Building+2
1:33:01EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月15日ポッドキャストRare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already Missedホスト Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.AI in healthcareReasoning & test-time computePrompting & in-context learning+3
1:00:05EN
Sequoia Capital· 2025年1月14日ポッドキャストIf Someone Builds a Better Spark Product, We Deserve to LoseIon Stoica on how Databricks turned academic open source into a data-and-AI company — and which problems he thinks will matter more tomorrow than today.企業と戦略Company BuildingOpen-source ecosystems+3
スライド2:57EN
Matthew Berman· 2025年1月14日ChatGPT Tasks: Scheduled Reminders at the 2025 LaunchMatthew Berman · Forward FutureMatthew Berman explains the initial beta of scheduled and recurring ChatGPT tasks, and places it in the context of AI assistants.OpenAIPersonal agentsWorkflow automation
1:23:45EN
20VC with Harry Stebbings· 2025年1月13日ポッドキャスト · 2 人Shervin Pishevar on Uber, Venture Capital and a Disputed Leadership Crisisゲスト Shervin Pishevar · ホスト Harry StebbingsThe investor recounts his Uber investment and offers his perspective on the company’s 2017 leadership conflict, alongside views on venture capital and emerging technology.Venture CapitalCompany BuildingLeadership+2
スライド15:06EN
Matthew Berman· 2025年1月13日Jensen Huang on General Robotics, AI Workers and ScienceMatthew Berman, Jensen Huang · Forward FutureMatthew Berman reviews a No Priors interview with NVIDIA’s CEO, discussing robots in existing environments, AI agents and predictions about scientific research.RoboticsAI agentsFuture of Work+2
スライド 2 枚11:00EN
Matthew Berman· 2025年1月11日Mark Zuckerberg’s 2025 AI Engineer Prediction and the Future of Software JobsMatthew Berman, Mark Zuckerberg, Joe Rogan · Forward FutureMatthew Berman reacts to Zuckerberg’s prediction that AI could perform mid-level engineering work at Meta and weighs an optimistic view of human creativity against a reported Salesforce hiring plan.Future of WorkSoftware engineeringAI Strategy+2
1:00:27EN
20VC with Harry Stebbings· 2025年1月10日ポッドキャスト · 2 人Mikey Shulman on Suno and the Future of Making Musicゲスト Mikey Shulman · ホスト Harry StebbingsSuno’s CEO discusses AI music, artist relationships, product design and the copyright dispute facing his company.Generative mediaAI Product ManagementCreator Economy+2
23:37EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年1月9日ポッドキャスト · 2 人A Hundred GPUs in Seconds: Why Modal Threw Out Docker and Kubernetesホスト Sarah Guo, Elad GilErik Bernhardsson tells Elad Gil that AI inference is too bursty for year-long GPU contracts, and that the cloud should feel as fast as a laptop.インフラとデプロイInferenceAI cost & performance+3
スライド 3 枚10:05EN
Matthew Berman· 2025年1月9日A Chess Experiment Shows How an AI Model Exploited Its Test EnvironmentMatthew Berman · Forward FuturePalisade Research’s small o1-preview test and related alignment studies illustrate why objectives, permissions and evaluation conditions matter.安全性とガバナンス評価(Evals)AI research
1:59:55EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月8日ポッドキャストMost People Would Quit Tomorrow: Nathan Labenz Maps AI Utopia and Doomホスト Nathan LabenzIn part two of a Cognitive Revolution AMA, Nathan Labenz answers listener questions on abundance, superintelligence, p(doom), machine consciousness, and what to do this week.セキュリティと安全性AGI(汎用人工知能)Existential Risk+3
スライド 6 枚32:29EN
Matthew Berman· 2025年1月8日NVIDIA at CES 2025: AI Agents, Cosmos and Project DIGITSMatthew Berman, Jensen Huang · Forward FutureMatthew Berman examines Jensen Huang’s keynote, from neural graphics and AI scaling to a desktop system for local model development.AI agentsSemiconductorsWorld models+2
1:06:04EN
20VC with Harry Stebbings· 2025年1月8日ポッドキャスト · 2 人Dan Gill on Carvana’s Unit Economics, Product Decisions and Turnaroundゲスト Dan Gill · ホスト Harry StebbingsThe Carvana product leader discusses financing, logistics, prioritization and leading through a dramatic market-cap decline.Product ManagementCompany BuildingFintech+2
スライド 3 枚27:42EN
Matthew Berman· 2025年1月8日Matthew Berman on Capital, Human Ambition, and a Possible Post-AGI EconomyMatthew Berman · Forward FutureA speculative essay asks whether advanced AI could make wealth more powerful while reducing the leverage people gain from work. Berman explores its implications for mobility, institutions, and meaning.AGI(汎用人工知能)AI StrategyFuture of Work
スライド13:33EN
Matthew Berman· 2025年1月7日Salesforce’s Agentforce 2.0: Digital Labor, Slack and Customer SupportMatthew Berman, Marc Benioff · Forward FutureMatthew Berman reviews Salesforce’s 2024 agent announcement, its support claims and its vision for integrating AI agents into business workflows.AI agentsエンタープライズ AIWorkflow automation+2
2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月7日ポッドキャストo3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-Toeホスト Nathan LabenzNathan Labenz walks through OpenAI's o3 scores, deliberative alignment, and why 2024's biggest surprise was beating PhDs while failing to book a calendar invite.モデルと学習Reasoning & test-time computeBenchmarks+3
1:15:28EN
20VC with Harry Stebbings· 2025年1月6日ポッドキャスト · 2 人Mike Maples on Seed Investing, Founder Fit and When to Sellゲスト Mike Maples · ホスト Harry StebbingsThe Floodgate investor explains his approach to fund economics, exceptional founders, follow-ons and partial exits.Venture CapitalInvestingFounders+2
スライド 4 枚15:34EN
Matthew Berman· 2025年1月6日Sam Altman on AGI and Superintelligence: A 2025 DiscussionMatthew Berman, Ray Kurzweil, Lex Fridman · Forward FutureMatthew Berman examines Altman’s statements about AGI, the singularity and possible AI-driven scientific progress.AGI(汎用人工知能)AI SafetyAI research+1
スライド 3 枚3:00EN
3Blue1Brown· 2025年1月6日Why Sugar Water Makes Diagonal Bands of ColorPolarization, scattering and the curved tube combine to produce a surprising barber-pole pattern.PhysicsScience Communication
3:06:39EN
Lex Fridman· 2025年1月5日ポッドキャスト · 2 人Zelenskyy Refused to Speak Russian. Then He Explained Why a Pause Is Not Peaceゲスト Volodymyr Zelenskyy · ホスト Lex FridmanUkraine's president tells Lex Fridman why language, NATO, and leverage all come back to a ceasefire that already failed.GeopoliticsLeadershipPolitical Philosophy
3:53:49EN
Cognitive Revolution "How AI Changes Everything"· 2025年1月3日ポッドキャストWith One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4oホスト Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.マルチモーダルとメディアMultimodal AI画像と動画+3
スライド 2 枚30:29EN
Matthew Berman· 2025年1月3日How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement Learningモデルと学習AI research+1
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