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1:35:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月1日播客Uber Burned a Year of Tokens in 13 Weeks. Retrieval Is How Agents Win主持 Nathan LabenzMongoDB Field CTO of AI Pete Johnson argues that agent performance now hinges on retrieval quality, not on stuffing million-token context windows.RAG 与知识库检索增强生成Agent memory+3
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月14日播客Lindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Banned主持 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.智能体Agent memory上下文工程+3
44:52EN
Sequoia Capital· 2026年6月24日播客An 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.RAG 与知识库Continual learning微调+3
59:41EN
Unsupervised Learning: With Jacob Effron· 2026年5月22日播客The GPT moment for video hasn’t arrived, but AGI may already be here主持 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.模型与训练World modelsReinforcement Learning+3
1:34:54EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月15日播客Six Months, Eighty Percent Churn, Five Times the Tokens主持 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.智能体智能体工程上下文工程+3
1:06:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年3月20日播客 · 2 人对谈Andrej Karpathy Hasn't Typed a Line of Code Since December主持 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.编程智能体AutoresearchAgent orchestration+3
2:29:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月18日播客Twelve hooks and thirty files: Daniel Miessler’s personal OS on Claude Code主持 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.编程智能体智能体工程上下文工程+3
1:50:53EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月2日播客She asked to stop being Mimi, so he started shopping for a workstation主持 Nathan LabenzThe star and director of Smiles and Kisses You on Replika, identity, and a life Christopher Stokes refuses to recommend.产品与体验Personal agentsHuman-AI Collaboration+3
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年10月9日播客 · 2 人对谈STaR's Author Wants Models With EQ, Not Just More IQ主持 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.模型与训练Post-trainingReinforcement Learning+3
1:25:32EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月2日播客o3 Invented a Voting Rule and Kept the Job: Four Weeks Inside the AI Village主持 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.智能体Multi-agent systemsAgent memory+3
2:12:00EN
Cognitive Revolution "How AI Changes Everything"· 2025年5月15日播客Gradient Descent at Test Time: Titans Pushes LLM Context to 10 Million Tokens主持 Nathan LabenzA Cornell PhD student's neural memory module holds about 70% accuracy where GPT-4's scores fall off a cliff.模型与训练Agent memory上下文工程+3
1:14:11EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月5日播客The Reasoning Curve Was Smooth All Along: Gemini 2.5's Jack Rae on Thinking, Memory, and AGI主持 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.模型与训练Reasoning & test-time computeReinforcement Learning+3
1:21:53EN
Cognitive Revolution "How AI Changes Everything"· 2024年7月19日播客HippoRAG Matches Iterative Retrieval at One-Tenth the Online Cost主持 Nathan LabenzA hippocampus-inspired knowledge graph lets multi-hop questions skip the brute-force document crawl.RAG 与知识库检索增强生成Knowledge graphs+3
27:32EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年3月28日播客 · 2 人对谈From a side project to 700 integrations: Harrison Chase on what still blocks agents主持 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.智能体智能体工程Agent memory+3
1:12:40EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月16日播客3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.主持 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.产品与体验Human-AI CollaborationProduct Strategy+3
4:56EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月1日播客If the Mind Is a Tool, AI Looks Less Like a Threat主持 Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.智能体智能体工程Knowledge graphs+3
2:30:06EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月22日播客Trained on a Thirtieth of GPT-4's Tokens, Mamba Beat Transformers on Home Turf主持 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.模型与训练Transformers & attentionAI research+3
1:36:39EN
Cognitive Revolution "How AI Changes Everything"· 2023年11月9日播客OpenAI’s $5 Million Bet: A 60-Person Team Wants GPT-4V to Give Cars Common Sense主持 Nathan LabenzGhost Autonomy cofounder John Hayes tells Cognitive Revolution why a multimodal model on the driving path could reset self-driving after two decades of DARPA-era stacks.智能体Autonomous DrivingMultimodal AI+3
55:13EN
Cognitive Revolution "How AI Changes Everything"· 2023年9月7日播客Two Days to a Prototype: How a16z Turned a Stanford Paper Into AI Town主持 Nathan LabenzA companion named Alice, a weekend Phaser hack, and Martin Casado's argument that models will never replace formal languages.智能体智能体工程Agent memory+3
59:41EN
Cognitive Revolution "How AI Changes Everything"· 2023年7月13日播客Humans Are Single-Threaded. MULTI·ON Wants 100 Agents Running Anyway主持 Nathan LabenzStanford PhD dropout Div Garg put a personal agent in Chrome so it can reuse your logins, ask for help when it stalls, and stop before it hits Buy.智能体Personal agentsComputer use+3
37:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年5月4日播客 · 2 人对谈Use Retrieval for a Wi-Fi Password. Use Experts for a Company's Private Language.主持 Sarah Guo, Elad GilGoogle Brain's Kelvin Guu on REALM, FLAN, model surgery, and why personalizing large models is still an unsolved interface problem.RAG 与知识库检索增强生成微调+3
58:26EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月25日播客Seventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agents主持 Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.智能体智能体工程Agent memory+3
1:30:52EN
Lex Fridman播客 · 2 人对谈Building Minds from Unified Theories: Nate Derbinsky on Cognitive Architectures, Soar, and the Case for Forgetting嘉宾 MIT AGI · 主持 Lex FridmanA guest lecture in MIT's AGI course on how cognitive architectures try to assemble human-level intelligence, and how studying human memory made the Soar architecture faster and better.智能体通用人工智能AI research+3
10:16EN
Lex Fridman播客 · 2 人对谈Reasoning Without Logic: Yann LeCun on Teaching Neural Networks to Think嘉宾 Yann Lecun · 主持 Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.模型与训练机器学习基础Deep Learning+3