筛选结果
24 篇排序
1:35:29ENUber 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.
2:06:11EN → 简体中文Lindy 跑在 DeepSeek 上,CEO 却主张禁用中国模型主持 Nathan LabenzFlo Crivello 向 Nathan Labenz 讲述 Lindy Teammate 如何住在 Slack 里、如何用两次模型调用就调出 20 亿个 token 的记忆,以及他为什么仍想禁止那些目前支撑着这款产品的廉价中国模型。
44:52ENAn 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.
59:41ENThe 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.
1:34:54EN → 简体中文六个月、八成用户流失、五倍的 Token主持 Nathan LabenzTasklet 首席执行官 Andrew Lee 在《The Cognitive Revolution》中讲述了他如何重写整个技术栈,为什么大多数流失的用户会转向 Anthropic,以及他为什么认为只有三类软件公司能活下来。
1:06:31ENAndrej 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.
2:29:42EN → 简体中文十二个钩子与三十个文件:Daniel Miessler 在 Claude Code 上的个人操作系统主持 Nathan LabenzPAI(个人 AI 基础设施)框架把脚手架当作真正的产品,模型只是其中一部分。Miessler 认为,这套以目标为中心的智能体(Agent)堆栈,将决定知识工作自动化和下一场网络安全竞赛的走向。
1:50:53ENShe 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.
36:58ENSTaR'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.
1:25:32ENo3 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.
2:12:00ENGradient 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.
1:14:11ENThe 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.
1:21:53ENHippoRAG 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.
27:32ENFrom 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.
1:12:40EN3% 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.
4:56ENIf 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.
2:30:06EN → 简体中文训练 token 只有 GPT-4 的三十分之一,Mamba 在 Transformer 的主场赢了主持 Nathan Labenz在一期单人紧急节目中,Nathan Labenz 认为,Albert Gu 和 Tri Dao 提出的选择性状态空间模型,是 2017 年以来第一个有资格与 Transformer 分享王座的架构。
1:36:39EN → 简体中文OpenAI 的 500 万美元押注:60 人团队想让 GPT-4V 赋予汽车常识主持 Nathan LabenzGhost Autonomy 联合创始人 John Hayes 在 Cognitive Revolution 节目里说,把多模态模型放进驾驶路径,可能会让自动驾驶在二十年的 DARPA 时代技术栈之后重新起步。
55:13ENTwo 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.
59:41ENHumans 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.
37:18ENUse 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.
58:26ENSeventy 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.
1:30:52ENBuilding 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.
10:16ENReasoning 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.









