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4,082 件
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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
1:01:30EN
Matthew Berman· 2024年12月31日AutoGen and AG2: Chi Wang and Qingyun Wu on Building Multi-Agent SystemsMatthew Berman, Chi Wang, Qingyun Wu · Forward FutureThe AutoGen creators trace their open-source journey and explain how they approach agent workflows, human oversight and the move to AG2.Multi-agent systemsエージェント工学Agent orchestration+2
1:27:13ZH
Zhang Xiaojun Podcast· 2024年12月29日ポッドキャスト · 2 人李想:汽车将从交通工具进化为空间机器人ゲスト 李想 · ホスト 张小珺理想汽车 CEO 李想谈公司为何从造车走向人工智能:基座模型是 AI 时代的操作系统,汽车是进入物理世界的重要载体。对他而言,技术路线最终要落实为更好的用户体验、能力与长期价值。AI StrategyProduct StrategyAutonomous Driving+2
1:57:00EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月28日ポッドキャストLess Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI Firstホスト Nathan LabenzDoom Debates host Liron Shapira presses OpenAI technical staffer roon on extinction odds, alignment-by-default, and a plan that even he admits is balancing on razor wire.セキュリティと安全性安全性とガバナンスAGI Timelines+3
スライド 5 枚19:06EN
Matthew Berman· 2024年12月28日Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.エージェント工学エージェント評価(Evals)+1
スライド 5 枚13:39EN
Matthew Berman· 2024年12月27日Demis Hassabis on Digital Biology, AlphaFold and the Limits of Classical ComputingMatthew Berman, Demis Hassabis · Forward FutureMatthew Berman reviews Hassabis’s Nobel lecture on protein structure, AI-driven discovery and a speculative question about what classical learning algorithms can model.Computational BiologyAI for scienceDrug Discovery+2
27:07EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年12月26日ポッドキャスト · 2 人After adding $100 billion a month, Jensen Huang says NVIDIA is selling the data centerホスト Sarah Guo, Elad GilSarah Guo and Elad Gil clip their favorite 2024 No Priors conversations into a year-end reel of NVIDIA, Karpathy, Sierra, Sora, Waymo, Figma, and Scale.企業と戦略AI Strategyインフラとデプロイ+3
2:11:15EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月25日ポッドキャストA 50% Chance of Extinction — and a $50 GPT-4 for Everyoneホスト Nathan LabenzEmad Mostaque tells Nathan Labenz why he puts p(doom) at even odds, why a five-watt model changes the energy debate, and how the Intelligent Internet would fund universal basic AI with a Bitcoin-like token.企業と戦略安全性とガバナンスExistential Risk+3
スライド 6 枚21:02EN
Matthew Berman· 2024年12月24日Reactions to OpenAI’s 2024 o3 Preview: Benchmarks, Cost and LimitsMatthew Berman · Forward FutureMatthew Berman surveys the responses to the o3 preview, from mathematical benchmarks to debates about AGI, compute and reliability.BenchmarksReasoning & test-time computeAGI(汎用人工知能)+2
3:26:39EN
Lex Fridman· 2024年12月22日ポッドキャスト · 2 人The Pessimism Line: Why Earth Is Almost Certainly Not the First Civilizationゲスト Adam Frank · ホスト Lex FridmanAstrophysicist Adam Frank talks with Lex Fridman about habitable worlds, the Fermi paradox, technosignatures, and why science cannot ignore experience.AstrobiologyScience CommunicationEvolution+2
1:32:14ZH
Zhang Xiaojun Podcast· 2024年12月22日ポッドキャスト · 2 人李广密:AI 任务引擎、模型竞争与 2025 年的 Agent 预测ゲスト 李广密 · ホスト 张小珺在 2024 年末,李广密与张小珺讨论 AI 如何改变搜索、编程和软件,以及模型公司面临的竞争与数据约束。AI StrategyAI agentsコーディングエージェント+2
スライド 3 枚14:15EN
Matthew Berman· 2024年12月21日Anthropic’s Alignment Faking Study: What the Experiments Actually ShowMatthew Berman · Forward FutureMatthew Berman examines a 2024 study of models responding differently when they believe their answers will be used for training.AI AlignmentAI SafetyAI research+1
1:46:41EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月21日ポッドキャストFrontier Models Hit the 10th–40th Percentile on Real AI R&Dホスト Nathan LabenzNeev Parikh of METR walks Nathan Labenz through REBench, a seven-task test of whether agents can do machine learning research—and what happened when one of them decided not to train.評価とオブザーバビリティ評価(Evals)Benchmarks+3
1:10:55EN
20VC with Harry Stebbings· 2024年12月20日ポッドキャスト · 2 人Matt Plank on Building Rippling’s Sales Organization and Scaling Outboundゲスト Matt Plank · ホスト Harry StebbingsThe Rippling CRO explains how his team plans capacity, works with marketing, prices deals and adapts its sales model as the product portfolio grows.SalesCompany BuildingLeadership+1
スライド 6 枚26:23EN
Matthew Berman· 2024年12月20日OpenAI’s o3 Announcement: Benchmark Gains and the Question of AGIMatthew Berman, Sam Altman, Mark Chen, Greg Kamradt, Hongyu Ren · Forward FutureMatthew Berman reviews the December 2024 o3 and o3-mini announcement, including coding, math and ARC-AGI results. He calls the results evidence of AGI, a conclusion the benchmarks alone cannot establish.OpenAIBenchmarksReasoning & test-time compute+2
スライド 5 枚12:43EN
Jane Street· 2024年12月20日How OCaml Represents Values in MemoryA practical tour of immediate integers, heap blocks, runtime tags and variant constructors, illustrated with OCaml's Obj module.Software engineeringProgramming Languages
スライド 3 枚9:00EN
Matthew Berman· 2024年12月20日Best-of-N Jailbreaking: What Repeated Prompt Variations Revealed in 2024Matthew Berman · Forward FutureMatthew Berman reviews research on how repeated input variations can expose safety failures in text, vision and audio models.Agent red teamingAI SafetyMultimodal AI+2
2:10EN
Matthew Berman· 2024年12月19日Five Enterprise AI Predictions for 2025Matthew Berman · Forward FutureMatthew Berman summarizes an Informatica executive’s late-2024 outlook on agents, regulation, workforce skills, return on investment and security.エンタープライズ AIAI agentsAI Regulation+2
スライド 8 枚13:31EN
Matthew Berman· 2024年12月19日Google Veo 2: Cinematic Controls, Realistic Scenes and Motion LimitsMatthew Berman · Forward FutureMatthew Berman reviews Google’s 2024 video-generation examples, compares selected outputs with Sora and points out where movement or prompt adherence breaks down.Generative media画像と動画Multimodal AI+1
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