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4,197 件
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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
1:49EN
3Blue1Brown· 2024年12月26日Why Two Slits Create Bright and Dark Interference FringesA short wave model explains why adding a second path can darken some points on a screen.Physics
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
31:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年12月19日ポッドキャスト · 2 人Elias Torres sold a billion-dollar company and called it a failure. Agency is the redo.ホスト Sarah Guo, Elad GilThe Drift founder wants $1 billion in revenue with 100 people, one email address, and software that works like a text to someone who actually shows up.企業と戦略Company BuildingAI startups & small teams+3
1:01:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年12月18日ポッドキャストHumans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.ホスト Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.エージェントAgent orchestrationMulti-agent systems+3
1:07:32EN
Unsupervised Learning: With Jacob Effron· 2024年12月18日ポッドキャストo1 Is a New Generation — and the Day AGI Arrives Will Feel Boringホスト Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.モデルと学習Reasoning & test-time computeエージェント工学+3
1:06:43EN
20VC with Harry Stebbings· 2024年12月18日ポッドキャスト · 2 人Daniel Dines on Why AI Agents Need Workflow Automationゲスト Daniel Dines · ホスト Harry StebbingsThe UiPath founder explains why he expects rule-based automation, agents and human validation to coexist—and reflects on the demands of leading through an AI transition.Workflow automationAgent orchestrationエンタープライズ AI+2
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