筛选结果
18 篇排序
19:43EN → 简体中文
AI Engineer· 2026年10月26日Jack Wotherspoon 谈如何打造一支托管智能体团队Jack Wotherspoon · Google DeepMindGoogle DeepMind 的 Jack Wotherspoon 介绍 Gemini Managed Agents：团队只需一次 API 调用，就能让编程和研究智能体在云端沙箱中运行。他还讲解了持久化环境、可复用技能、由代理注入的凭据、定时触发器，以及多个专用智能体如何协同工作。
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月1日播客From 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Explore主持 Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
1:37:43ENCognitive Revolution "How AI Changes Everything"· 2026年3月25日播客Cisco wants two extra network layers so agents can share intent主持 Nathan LabenzVijoy Pandey of Outshift by Cisco argues that superintelligence has to scale out through networks of agents, not just up through bigger models.
2:06:23EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年3月8日播客五台 Mac Mini 上住着五名 AI 员工主持 Nathan Labenz卖掉 YC 包装公司之后，Jesse Genet 第一次打开终端，搭起了一支 OpenClaw 团队。如今它负责备课、记录孩子的学习过程，也让家里的夜晚不至于被低质内容占满。
1:57:56ENCognitive Revolution "How AI Changes Everything"· 2026年2月5日播客A Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipeline主持 Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.
1:32:47ENCognitive Revolution "How AI Changes Everything"· 2025年9月13日播客A transformer co-author wants a $160 million model no company owns主持 Nathan LabenzIllia Polosukhin tells Nathan Labenz how NEAR turned a payments headache into a stack for private inference, shared-revenue training, and AI agents that still answer to a court.
1:29:02ENCognitive Revolution "How AI Changes Everything"· 2025年2月15日播客She Never Sees a Row of Your Data. The Answers Still Clear 95%.主持 Nathan LabenzIllumex CEO Inna Tokarev Sela tells Nathan Labenz how a Platonic industry ontology, trained only on metadata, collapses enterprise software into one conversation.
1:01:53ENCognitive Revolution "How AI Changes Everything"· 2024年12月18日播客Humans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.主持 Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.
55:50EN
Unsupervised Learning: With Jacob Effron· 2024年12月16日播客There will not be one model. Fireworks is betting on hundreds of small experts主持 Jacob EffronPyTorch veteran Lin Qiao argues that inference is a compound system hyperscalers cannot buy their way through, and that the products with real traction still keep a human in the loop.
1:21:50ENCognitive Revolution "How AI Changes Everything"· 2023年11月14日播客A 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.主持 Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:25:11ENCognitive Revolution "How AI Changes Everything"· 2023年10月26日播客105 lines of code, a million impressions, and a VC who refused to found the company主持 Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.
1:45:46ENCognitive Revolution "How AI Changes Everything"· 2023年8月4日播客Replit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring Bots主持 Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.
1:40:44EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2023年7月19日播客给模型时间、记忆和工具：Nathan Labenz 2023 年 GPT-4 使用指南主持 Nathan Labenz《AI Scouting Report》第二部分，从 H100 集群和 RLHF 一路讲到思维链、检索、智能体和混合专家模型。
1:21:06ENCognitive Revolution "How AI Changes Everything"· 2023年4月27日播客Everyone Talks About RLHF. Almost Nobody Is Doing It.主持 Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
1:11:47ENUnsupervised Learning: With Jacob Effron播客The Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the Inbox主持 Jacob EffronSuperhuman's CEO explains how AI features are designed, why email addresses remain company infrastructure, and how agents may federate across the tools professionals live in.
1:42:11EN → 简体中文
Lenny's Podcast播客二十个 Agent、1.2 个人：SaaStr 用 AI 跑销售团队之后发生了什么主持 Lenny RachitskyJason Lemkin 讲述 SaaStr 如何用 agent 顶上十人 GTM 团队、训练它们要花多少工夫，以及谁会在这轮变化里留下来。
1:46:35EN → 简体中文Lenny's Podcast播客像招员工一样招 Agent：Claire Vo 用九个 OpenClaw 管公司和家主持 Lenny Rachitsky她从被删掉家庭日历的怀疑者，变成在生意、播客、课程和家里跑起一支专职 Agent 团队的实践者。
1:19:39ENLenny's Podcast播客Engineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months主持 Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.