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92 件
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スライド 8 枚21:02EN
Matthew Berman· 2024年4月16日Limitless Pendant: A 2024 AI Wearable Launch and Its Privacy PromisesMatthew Berman, Dan Siroker · Forward FutureMatthew Berman watches the original Limitless announcement, weighing its promised recording features, consent controls and price against the risk of buying future functionality.Personal agentsプロダクトと UXPrivacy & data governance+2
26:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年4月11日ポッドキャスト · 2 人GPT-4-Class Models Will Be Cheap. The Frontier Will Still Need a Patron.ホスト Sarah Guo, Elad GilSarah Guo and Elad Gil walk through Mosaic’s Law, Microsoft’s Inflection hire, where the real money sits, and why the first AI wave looks consumer.企業と戦略エンタープライズ AIAI Strategy+3
24:22EN
Matthew Berman· 2024年4月4日Jonathan Ross on Groq's Inference Chips, AI Economics and Human AgencyMatthew Berman, Jonathan Ross · Forward FutureThe Groq founder explains the company's compiler-first approach and argues that inference speed could enable new applications, while discussing risks of handing decisions to AI.InferenceAI cost & performanceSemiconductors+2
スライド 2 枚23:47EN
Matthew Berman· 2024年3月29日Andrew Ng’s Four Agentic Workflow Patterns, Explained by Matthew BermanMatthew Berman, Andrew Ng · Matthew BermanReflection, tools, planning and collaboration can turn a single model response into an iterative workflow, with reliability and cost tradeoffs.エージェント工学Multi-agent systemsBenchmarks+2
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月28日ポッドキャスト · 2 人From a side project to 700 integrations: Harrison Chase on what still blocks agentsホスト Sarah Guo, Elad GilThe LangChain CEO walks through a two-year churn of patterns, and why memory, planning, and few-shot data still matter more than swapping models.エージェントエージェント工学Agent memory+3
スライド 5 枚22:17EN
Matthew Berman· 2024年3月21日Q* Rumors, Energy-Based Models, and Research on ReasoningMatthew Berman, Yann Lecun · Forward FutureMatthew Berman examines an anonymous, unverified account of Q* and compares its ideas with published research on teaching language models to reason.Reasoning & test-time computeモデルと学習AI research+2
スライド 7 枚16:27EN
Matthew Berman· 2024年2月29日Matthew Berman Reviews EMO’s Audio-Driven Portrait Video ResearchMatthew Berman, Jensen Huang · Forward FutureAlibaba researchers animate a portrait from an image and vocal audio; Berman examines the method, its limitations and the implications for trust in video.Generative media画像と動画Deep Learning+1
スライド 4 枚21:00EN
Matthew Berman· 2024年1月23日Jim Fan's Foundation Agent Vision: Skills, Robot Bodies, and SimulationMatthew Berman, Jim Fan · Forward FutureMatthew Berman examines research on Minecraft agents, varied robot bodies, and simulation as steps toward more general embodied AI.RoboticsエージェントReinforcement Learning+2
19:10EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年1月11日ポッドキャスト · 2 人The World's Only Capped-Profit Companyホスト Sarah Guo, Elad GilNo Priors looks back at 2023 through eight conversations on money, intelligence, jobs, and who should put the guardrails on a model.企業と戦略AI StrategyCompany Building+3
スライド 5 枚29:58EN
Matthew Berman· 2024年1月10日Rabbit R1’s 2024 Launch Demo: An AI Assistant Built Around ActionsMatthew Berman, Jesse Lyu · Forward FutureMatthew Berman reviews Rabbit’s launch presentation, from voice-controlled services and experimental teach mode to its proposed $199 device.エージェントプロダクトと UXHuman-AI Collaboration+1
27:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年12月7日ポッドキャスト · 2 人Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inningホスト Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.企業と戦略エンタープライズ AIAI Strategy+3
26:40EN
20VC with Harry Stebbings· 2023年10月24日ポッドキャスト · 2 人Matthew Prince and Harry Stebbings Debate How Narrowly Startups Should Focusゲスト Matthew Prince · ホスト Harry StebbingsThe Cloudflare co-founder and 20VC host examine early customers, ambitious visions and the different goals of venture-backed and bootstrapped companies.Company BuildingProduct-Market FitVenture Capital+2
29:38EN
20VC with Harry Stebbings· 2023年9月25日ポッドキャスト · 2 人Marc Benioff on Salesforce, San Francisco and Personal Prioritiesゲスト Marc Benioff · ホスト Harry StebbingsThe Salesforce co-founder discusses his AI ambitions, a five-question planning framework, philanthropy and work arrangements.LeadershipAI StrategyCompany Building+1
29:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月21日ポッドキャスト · 2 人A Beginner Just Shipped a $250K Business. Professionals Got 30 Percent.ホスト Sarah Guo, Elad GilReplit CEO Amjad Masad on Ghostwriter, why a 3-billion-parameter model was enough, and the agents he wants earning bounties while you sleep.コーディングエージェントDeveloper productivityOpen-weight models+3
24:40EN
20VC with Harry Stebbings· 2023年8月22日ポッドキャスト · 2 人Tim Urban on Curiosity, Research and the Writing Processゲスト Tim Urban · ホスト Harry StebbingsThe Wait But Why writer explains how he chooses questions, learns unfamiliar subjects and turns research into stories for curious readers.Science CommunicationStorytellingCreativity+2
23:22EN
20VC with Harry Stebbings· 2023年8月11日ポッドキャスト · 2 人Adam Mosseri on Launching Threads: Social Graphs, Creators and Retentionゲスト Adam Mosseri · ホスト Harry StebbingsEight days after launch, Instagram’s head explains how Threads used existing relationships, recruited early creators and faced the harder problem of keeping users.Social MediaProduct StrategyCreator Economy+2
23:20EN
20VC with Harry Stebbings· 2023年6月14日ポッドキャスト · 2 人Rishi Sunak on UK AI Policy, Talent and Education in 2023ゲスト Rishi Sunak · ホスト Harry StebbingsThe then prime minister discusses an AI task force, skills and visa initiatives, and the political priorities he wanted to pursue.AI RegulationEducationAI Safety+2
26:18EN
20VC with Harry Stebbings· 2023年5月9日ポッドキャスト · 2 人Avlok Kohli on Startup Funding, Fund Liquidity and AngelList’s AI Workflowsゲスト Avlok Kohli · ホスト Harry StebbingsA 2023 conversation about venture financing conditions, secondary fund positions and automating parts of fund administration.Venture CapitalStartupsInvesting+1
28:48EN
20VC with Harry Stebbings· 2022年10月25日ポッドキャスト · 2 人Rishi Sunak on Talent, Investment and Policy Trade-Offs in 2021ゲスト Rishi Sunak · ホスト Harry StebbingsIn an interview recorded while he was chancellor, Sunak discusses startup-inspired policymaking, immigration proposals, the Future Fund and the limits of government action.EntrepreneurshipVenture CapitalLeadership+2
16:03EN
Lex Fridman· 2020年2月22日ポッドキャスト · 2 人Quantum Supremacy Is a Well-Defined Speedup, Not a Useful Taskゲスト Scott Aaronson · ホスト Lex FridmanScott Aaronson explains what Google's 53-qubit experiment actually demonstrated, how it was verified, and why complexity theory can offer evidence but not proof against classical spoofing.BenchmarksScience Communication
20:44EN
Lex Fridman· 2020年1月5日ポッドキャスト · 2 人The Staff Job That Became a Dictatorship: Stalin's Improbable Road to Powerゲスト Stephen Kotkin · ホスト Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.Political PhilosophyLeadershipGeopolitics+2
20:34EN
Lex Fridman· 2019年10月26日ポッドキャスト · 2 人Teaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.RAG とナレッジAI researchAGI(汎用人工知能)+3
23:58EN
Jane Street· 2016年3月31日Effective ML: Errors, Abstraction and Managing ComplexityYaron Minsky · Jane StreetA Jane Street engineer discusses explicit failure, boilerplate, type-system restraint and the practical role of side effects.Programming LanguagesSoftware engineeringCode review & verification
24:22EN
Lex Fridmanポッドキャスト · 2 人Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Muskゲスト Jim Keller · ホスト Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.モデルと学習Autonomous DrivingAutonomous Systems+3
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