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2:04:45EN
Cognitive Revolution "How AI Changes Everything"· 2025년 1월 7일팟캐스트o3 Hit Superhuman on ARC-AGI. It Still Lost at Tic-Tac-Toe진행자 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.모델과 학습Reasoning & test-time computeBenchmarks+3
1:15:28EN
20VC with Harry Stebbings· 2025년 1월 6일팟캐스트 · 2명Mike Maples on Seed Investing, Founder Fit and When to Sell게스트 Mike Maples · 진행자 Harry StebbingsThe Floodgate investor explains his approach to fund economics, exceptional founders, follow-ons and partial exits.Venture CapitalInvestingFounders+2
슬라이드 4장15:34EN
Matthew Berman· 2025년 1월 6일Sam 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(범용 인공지능)AI SafetyAI research+1
슬라이드 3장3:00EN
3Blue1Brown· 2025년 1월 6일Why 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· 2025년 1월 5일팟캐스트 · 2명Zelenskyy Refused to Speak Russian. Then He Explained Why a Pause Is Not Peace게스트 Volodymyr Zelenskyy · 진행자 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"· 2025년 1월 3일팟캐스트With One-Twelfth the Data, an Open-Source Vision Model Beat GPT-4o진행자 Nathan LabenzWill Hardman of Veratai walks Nathan Labenz through two years of vision-language models, from ViT and CLIP to InternVL, BLINK, and Transfusion.멀티모달과 미디어Multimodal AI비전과 영상+3
슬라이드 2장30:29EN
Matthew Berman· 2025년 1월 3일How 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 Learning모델과 학습AI research+1
1:01:30EN
Matthew Berman· 2024년 12월 31일AutoGen 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 systems에이전트 엔지니어링Agent orchestration+2
1:27:13ZH
Zhang Xiaojun Podcast· 2024년 12월 29일팟캐스트 · 2명李想:汽车将从交通工具进化为空间机器人게스트 李想 · 진행자 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"· 2024년 12월 28일팟캐스트Less Than 1%: Why OpenAI's roon Thinks the Good Guys Get AGI First진행자 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.보안과 안전안전과 거버넌스AGI Timelines+3
슬라이드 5장19:06EN
Matthew Berman· 2024년 12월 28일Building 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.에이전트 엔지니어링에이전트평가(Evals)+1
슬라이드 5장13:39EN
Matthew Berman· 2024년 12월 27일Demis 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· 2024년 12월 26일팟캐스트 · 2명After adding $100 billion a month, Jensen Huang says NVIDIA is selling the data center진행자 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.기업과 전략AI Strategy인프라와 배포+3
2:11:15EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 25일팟캐스트A 50% Chance of Extinction — and a $50 GPT-4 for Everyone진행자 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.기업과 전략안전과 거버넌스Existential Risk+3
슬라이드 6장21:02EN
Matthew Berman· 2024년 12월 24일Reactions 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(범용 인공지능)+2
3:26:39EN
Lex Fridman· 2024년 12월 22일팟캐스트 · 2명The Pessimism Line: Why Earth Is Almost Certainly Not the First Civilization게스트 Adam Frank · 진행자 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· 2024년 12월 22일팟캐스트 · 2명李广密:AI 任务引擎、模型竞争与 2025 年的 Agent 预测게스트 李广密 · 진행자 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 agents코딩 에이전트+2
슬라이드 3장14:15EN
Matthew Berman· 2024년 12월 21일Anthropic’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"· 2024년 12월 21일팟캐스트Frontier Models Hit the 10th–40th Percentile on Real AI R&D진행자 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.평가와 관측 가능성평가(Evals)Benchmarks+3
1:10:55EN
20VC with Harry Stebbings· 2024년 12월 20일팟캐스트 · 2명Matt Plank on Building Rippling’s Sales Organization and Scaling Outbound게스트 Matt Plank · 진행자 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
슬라이드 6장26:23EN
Matthew Berman· 2024년 12월 20일OpenAI’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
슬라이드 5장12:43EN
Jane Street· 2024년 12월 20일How 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
슬라이드 3장9:00EN
Matthew Berman· 2024년 12월 20일Best-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· 2024년 12월 19일Five 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.엔터프라이즈 AIAI agentsAI Regulation+2
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