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2:14:59EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 29일팟캐스트Always Bet on the Models: How Shortwave's Andrew Lee Shipped Tasklet as Agents All the Way Down진행자 Nathan LabenzThe Firebase co-founder argues that workflow software is already obsolete, that MCP is optional, and that the only durable advantage left for an AI startup is speed.에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
1:01:53EN
Unsupervised Learning: With Jacob Effron· 2025년 3월 28일팟캐스트Open-source models are 5% of enterprise use — and GPT wrappers won진행자 Jacob EffronLatent Space's Swyx and Alessio join Redpoint to map what actually has product-market fit in AI, and why the application layer is the fight that matters.기업과 전략Product-Market FitAI Strategy+3
1:25:12EN
Cognitive Revolution "How AI Changes Everything"· 2025년 3월 27일팟캐스트He Hasn’t Typed a Line of Code in Months. Here’s How Augment Reads a Million-Line Repo진행자 Nathan LabenzGuy Gur-Ari, co-founder and chief scientist at Augment, tells Nathan Labenz how coding agents actually work inside messy enterprise codebases.코딩 에이전트컨텍스트 엔지니어링검색 증강 생성(RAG)+3
43:04EN
Sequoia Capital· 2025년 3월 25일팟캐스트750 Million Excel Users, 30 Million Engineers: Wordware's Bet on Word ArtisansFilip Kozera tells Sequoia why English is the assembly language of LLMs, and why the people who win will be the ones who can encode taste into structured prompts.에이전트에이전트 엔지니어링Prompting & in-context learning+3
50:35EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 3월 13일팟캐스트 · 2명Copilot Already Writes Half the Code. GitHub's CEO Says Agents Still Have Four Gates to Clear진행자 Sarah Guo, Elad GilThomas Dohmke on agent mode, why median developers are not going anywhere, and how AI is repricing the tools that write software.코딩 에이전트개발 워크플로와 테스트에이전트 엔지니어링+3
9:02EN
Matthew Berman· 2025년 3월 13일Dario Amodei’s 2025 AI Coding Forecast and Matthew Berman’s ResponseMatthew Berman, Dario Amodei, Mark Zuckerberg · Forward FutureBerman considers a rapid forecast for AI-written code, the rise of coding agents, and speculative longer-term changes to software work.코딩 에이전트Future of WorkVibe Coding+2
슬라이드 3장27:32EN
Matthew Berman· 2025년 3월 12일OpenAI’s Responses API and Agents SDK: A Launch WalkthroughMatthew Berman · Forward FutureMatthew Berman reacts to a launch demonstration of web and file search, computer use, agent handoffs and tracing.에이전트 엔지니어링에이전트MCP와 도구+1
54:10EN
Sequoia Capital· 2025년 3월 11일팟캐스트Harvey Built Legal AI for the Work the Next Model Still Cannot DoCEO Winston Weinberg on citations, process data, and the unscalable tactics that won over century-old law firms.기업과 전략엔터프라이즈 AIProduct Strategy+3
32:46EN
Sequoia Capital· 2025년 2월 25일팟캐스트Don't draw the flowchart: OpenAI's Deep Research team on training agents end to endIsa Fulford and Josh Tobin explain why Deep Research was trained with reinforcement learning on hard browsing tasks instead of a human-written graph of model calls.에이전트에이전트 엔지니어링Reinforcement Learning+3
44:34EN
Unsupervised Learning: With Jacob Effron· 2025년 2월 19일팟캐스트The Cheaper Intelligence Gets, the More of It We'll Buy진행자 Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.에이전트에이전트 엔지니어링Reinforcement Learning+3
1:30:28EN
Cognitive Revolution "How AI Changes Everything"· 2025년 2월 12일팟캐스트A Perfect Score Is 32,000 Units: Only Claude Built a Cooperative Society진행자 Nathan LabenzThe same donor game, run for ten generations, can bank 32,000 resource units if everyone cooperates—and three frontier models miss that ceiling by an order of magnitude.에이전트Multi-agent systems안전과 거버넌스+3
57:11EN
Unsupervised Learning: With Jacob Effron· 2025년 1월 30일팟캐스트A Million Tokens Cannot Write a Good Joke진행자 Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.평가와 관측 가능성평가(Evals)Benchmarks+3
52:30EN
Sequoia Capital· 2025년 1월 28일팟캐스트Move 37 looked like a bug. LLMs still need their AlphaZero momentIoannis Antonoglou, from AlphaGo to Reflection AI, on self-play, reliability, and why compute can still buy intelligence.에이전트Reinforcement Learning에이전트 엔지니어링+3
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
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
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
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
1:07:32EN
Unsupervised Learning: With Jacob Effron· 2024년 12월 18일팟캐스트o1 Is a New Generation — and the Day AGI Arrives Will Feel Boring진행자 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.모델과 학습Reasoning & test-time compute에이전트 엔지니어링+3
48:18EN
Unsupervised Learning: With Jacob Effron· 2024년 12월 6일팟캐스트Noam Brown: There's No Hard Wall—Just Eight Orders of Magnitude of Headroom진행자 Jacob EffronA ChatGPT query costs about a penny. The problems society cares about most, he says, are worth a million dollars.모델과 학습Reasoning & test-time computeAGI(범용 인공지능)+3
1:55:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 5일팟캐스트AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.진행자 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.에이전트AI for science검색 증강 생성(RAG)+3
1:27:33EN
Cognitive Revolution "How AI Changes Everything"· 2024년 12월 3일팟캐스트A 70B Model Booked Dinner 20% of the Time. MultiOn Took It to 95% in a Day진행자 Nathan LabenzMultiOn CEO Div Garg returns to The Cognitive Revolution to recap 18 months of agent hype, the AgentQ stack, and why 2025 might still be the year of vertical agents.에이전트에이전트 엔지니어링Computer use+3
1:03:07EN
Sequoia Capital· 2024년 11월 26일팟캐스트Reasoning Hasn't Budged in Two Years. Dust Still Saved a Customer 8,000 HoursDust co-founders Gabriel Hubert and Stanislas Polu on multi-model agents, refusing to buy GPUs before product-market fit, and the jump from calculator tools to stochastic ones.에이전트에이전트 엔지니어링엔터프라이즈 AI+3
슬라이드 5장10:57EN
Matthew Berman· 2024년 11월 16일Tracing a CrewAI Agent Workflow with LangtraceMatthew Berman · Forward FutureMatthew Berman builds a research-and-reporting crew, adds Langtrace, and inspects traces, token usage, timing and model costs.에이전트 엔지니어링평가와 관측 가능성AI cost & performance+1
슬라이드 7장1:42:56EN
Matthew Berman· 2024년 11월 12일Building a Research and Writing Flow with CrewAIMatthew Berman, João Moura · Forward FutureMatthew Berman and CrewAI founder João Moura build and debug a two-crew workflow for planning and drafting educational articles.Agent orchestration에이전트 엔지니어링Multi-agent systems+2
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