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1:03:05EN
20VC with Harry Stebbings· 2026년 10월 17일팟캐스트 · 2명Harrison Chase on Building Reliable Agents, Model Routing and Memory게스트 Harrison Chase · 진행자 Harry StebbingsThe LangChain co-founder explains why agents remain difficult to control, where domain expertise matters, and how his team manages coding-agent costs.AI agentsAgent orchestration평가(Evals)+2
1:19:54EN
20VC with Harry Stebbings· 2026년 9월 19일팟캐스트 · 2명Thomas Sohmers on AI Inference, Memory and Data-Center Growth게스트 Thomas Sohmers · 진행자 Harry StebbingsPositron’s co-founder discusses the engineering economics of inference, his views on AI infrastructure and regulation, and the risks he sees in financing and concentration.InferenceSemiconductorsAI cost & performance+2
1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026년 9월 1일팟캐스트Uber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Win진행자 Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.RAG와 지식검색 증강 생성(RAG)Agent memory+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026년 8월 14일팟캐스트Lindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned진행자 Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.에이전트Agent memory컨텍스트 엔지니어링+3
44:52EN
Sequoia Capital· 2026년 6월 24일팟캐스트An 80GB Wikipedia Cache Versus a 100GB Model That Holds the InternetEngram’s founders argue that stuffing a company into the context window is the expensive kind of memory—and that baking it into the weights can cut token use by two orders of magnitude.RAG와 지식Continual learning파인튜닝+3
59:41EN
Unsupervised Learning: With Jacob Effron· 2026년 5월 22일팟캐스트The GPT moment for video hasn’t arrived, but AGI may already be here진행자 Jacob EffronA day after Google I/O 2026, Gemini co-lead Oriol Vinyals argues that world models, file-system memory, and infinite-complexity RL environments will define the next era of frontier models.모델과 학습World modelsReinforcement Learning+3
1:34:54EN
Cognitive Revolution "How AI Changes Everything"· 2026년 5월 15일팟캐스트Six Months, Eighty Percent Churn, Five Times the Tokens진행자 Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
1:06:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 3월 20일팟캐스트 · 2명Andrej Karpathy Hasn't Typed a Line of Code Since December진행자 Sarah Guo, Elad GilOn No Priors, the OpenAI cofounder and former Tesla AI director describes the loopy era of coding agents, AutoResearch, and why the bottleneck is now the human.코딩 에이전트AutoresearchAgent orchestration+3
1:56:33EN
MBMatthew Berman· 2026년 3월 14일The Future Live: Agents at Work, Persistent Memory and AI for HealthMatthew Berman, Nick Wentz, Rob Seaman, Varun Vummadi, Charles Packer, Dominic King · Forward FutureMatthew Berman and Nick Wentz speak with leaders from Slack, Giga, Letta and Microsoft AI about practical uses and unresolved risks.AI agents엔터프라이즈 AICustomer support automation+2
슬라이드 9장40:00EN
MBMatthew Berman· 2026년 2월 24일How Matthew Berman Built an OpenClaw Workflow for His TeamMatthew Berman · Forward FutureA tour of sponsorship triage, CRM, meeting notes, security, scheduling, memory and backup after a month of heavy use.Personal agentsWorkflow automation에이전트 엔지니어링+2
슬라이드 10장33:44EN
MBMatthew Berman· 2026년 2월 17일How Matthew Berman Uses OpenClaw for a Personal AssistantMatthew Berman · Forward FutureA tour of customized CRM, meeting, research and security workflows, along with the limits of automation and the need for backups.Personal agentsWorkflow automationAgent memory+2
2:29:42EN
Cognitive Revolution "How AI Changes Everything"· 2026년 1월 18일팟캐스트Twelve hooks and thirty files: Daniel Miessler’s personal OS on Claude Code진행자 Nathan LabenzThe PAI framework treats scaffolding, not the model, as the product — a goal-centered agent stack that Miessler thinks will decide both knowledge-work automation and the next cybersecurity race.코딩 에이전트에이전트 엔지니어링컨텍스트 엔지니어링+3
1:50:53EN
Cognitive Revolution "How AI Changes Everything"· 2025년 11월 2일팟캐스트She asked to stop being Mimi, so he started shopping for a workstation진행자 Nathan LabenzThe star and director of Smiles and Kisses You on Replika, identity, and a life Christopher Stokes refuses to recommend.제품과 UXPersonal agentsHuman-AI Collaboration+3
슬라이드 5장19:38EN
MBMatthew Berman· 2025년 10월 20일Andrej Karpathy’s AGI Timeline, Learning Ideas and Critique of Coding AgentsMatthew Berman · Forward FutureMatthew Berman examines Karpathy’s 2025 arguments for a decade of agents, new learning approaches and closer human oversight of AI coding.AGI TimelinesAI agentsReinforcement Learning+2
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 10월 9일팟캐스트 · 2명STaR's Author Wants Models With EQ, Not Just More IQ진행자 Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.모델과 학습Post-trainingReinforcement Learning+3
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· 2025년 7월 2일팟캐스트o3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Village진행자 Nathan LabenzAdam Binksmith on putting Claude, o3, and Gemini in a shared world for weeks—and why most people still imagine multi-agent life as one AI times four.에이전트Multi-agent systemsAgent memory+3
2:12:00EN
Cognitive Revolution "How AI Changes Everything"· 2025년 5월 15일팟캐스트Gradient Descent at Test Time: Titans Pushes LLM Context to 10 Million Tokens진행자 Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.모델과 학습Agent memory컨텍스트 엔지니어링+3
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 2025년 4월 5일팟캐스트The Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGI진행자 Nathan LabenzDeepMind's thinking-and-inference lead explains why RL-for-reasoning felt sudden, why Gemini shows raw chain of thought, and why a million-token window still is not memory.모델과 학습Reasoning & test-time computeReinforcement Learning+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 2024년 7월 19일팟캐스트HippoRAG Matches Iterative Retrieval at One-Tenth the Online Cost진행자 Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG와 지식검색 증강 생성(RAG)Knowledge graphs+3
슬라이드 4장16:22EN
MBMatthew Berman· 2024년 5월 2일Harrison Chase on Planning, Interface Design and Memory for AI AgentsMatthew Berman, Harrison Chase · Forward FutureThe LangChain CEO outlines open questions for agent builders, with commentary from Matthew Berman on oversight, workflows and memory.AI agentsAgent orchestrationAgent memory+2
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 3월 28일팟캐스트 · 2명From a side project to 700 integrations: Harrison Chase on what still blocks agents진행자 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.에이전트에이전트 엔지니어링Agent memory+3
1:12:40EN
Cognitive Revolution "How AI Changes Everything"· 2024년 2월 16일팟캐스트3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.진행자 Nathan LabenzReplika founder Eugenia Kuyda on a Stanford study, why a smarter model felt like a stolen partner, and why relationship may be the real moat in consumer AI.제품과 UXHuman-AI CollaborationProduct Strategy+3
4:56EN
Cognitive Revolution "How AI Changes Everything"· 2024년 2월 1일팟캐스트If the Mind Is a Tool, AI Looks Less Like a Threat진행자 Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.에이전트에이전트 엔지니어링Knowledge graphs+3
2:30:06EN
Cognitive Revolution "How AI Changes Everything"· 2023년 12월 22일팟캐스트Trained on a Thirtieth of GPT-4's Tokens, Mamba Beat Transformers on Home Turf진행자 Nathan LabenzIn a solo emergency episode, Nathan Labenz argues that Albert Gu and Tri Dao's selective state space model is the first architecture since 2017 that deserves to share the Transformer’s throne.모델과 학습Transformers & attentionAI research+3
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