筛选结果
98 篇排序
18:27EN → 简体中文
AI Engineer· 2026年10月26日Daksh Gupta：如何打造更好的 AI 代码审查智能体Daksh Gupta · GreptileGreptile 联合创始人 Daksh Gupta 解释了为什么仅靠 webhook 和编程智能体，无法做好 PR 审查；他还介绍了如何通过定向提示词、事故数据、模型反转、代码库上下文、浏览器测试和按任务路由模型来改进审查质量。
15:27EN → 简体中文AI Engineer· 2026年10月25日如今的 AI 工程师做什么：为智能体构建完整闭环Aparna Dhinakaran · Arize AIAparna Dhinakaran 认为，AI 工程师的工作正从交付单个功能，转向构建能让智能体团队持续改进功能的系统。在 Arize，这意味着追踪智能体的行为、依据人类判断评估它的工作，并把这些信号反馈给持续运行的智能体。
34:11EN → 简体中文
GOTO Conferences· 2026年10月23日Anatoliy Bilenko 和 Alberto Carretero：用形式化方法和 AI 让数据库协议可靠Anatoliy Bilenko, Alberto Carretero · CanonicalCanonical 的数据库工程师把可执行规格、基于模型的测试、故障探索和重建的执行历史串起来，并说明为什么这些方法单独用，都无法证明真实系统正确。
13:21EN → 简体中文
Adrian Twarog· 2026年10月21日Adrian Twarog：为企业 Vibe Coding 铺一条可治理的上线路径Adrian Twarog一次 Superblocks 演示说明，共享集成、隔离数据库、策略智能体和审计日志如何把业务部门用 AI 做出的应用纳入 IT 监管。
1:26:46EN
Cognitive Revolution "How AI Changes Everything"· 2026年10月8日播客There Likely Is a Level of Intelligence We Shouldn't Go Past主持 Nathan LabenzNathan Labenz brings notes from The Curve, a chip startup whose token bill beat payroll, and a software industry that now performance-reviews people for Claude slop.
1:10:12ENCognitive Revolution "How AI Changes Everything"· 2026年10月7日播客OutSystems Went From 4 Major Features a Quarter to 26. Token Spend Fell Anyway主持 Nathan LabenzCEO Woodson Martin on software that never breaks, why most enterprise work does not need a frontier model, and how AI is finally shrinking the IT backlog.
13:12EN → 简体中文
OpenAI· 2026年10月7日Alexandra Lato 谈用 Codex 打造 Stack Overflow for Agents 和 Stack InternalAarti Bagul, Alexandra Lato · OpenAIStack Overflow 产品副总裁讲述一个小团队如何在两款产品上，用截然相反的约束使用 Codex——以及为什么面向 agent 的设计意味着让 agent 贡献知识，而不只是读取。
1:01:33EN → 简体中文
DeepLearningAI· 2026年9月22日用编程 Agent 做规格驱动开发：先写规格，再让 Agent 去建Andrew Ng, Paul Everitt · DeepLearning.AIJetBrains 开发者布道师 Paul Everitt 走完一整套规格驱动流程：一份项目章程，规划—实现—验收的功能循环，以及能跨工具带走的 agent 技能。氛围编程的替代方案，是一份 agent 忘不掉的 Markdown 契约。
2:10:42EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年8月28日播客没人审核的考卷主持 Nathan Labenz前沿实验室从一群小供应商那里购买强化学习（reinforcement learning）环境，却几乎没人核查这些测试是否贴合真实工作。
5:15:51EN → 简体中文
Lex Fridman· 2026年8月26日播客 · 2 人对谈DHH 没有亲手写一行 Omarchy Quattro 的代码嘉宾 DHH · 主持 Lex Fridman与莱克斯·弗里德曼一次充满怀疑的对话过去十三个月后，Rails 的创造者讲述了 Opus 4.5、一群编码智能体（Agent）和一个一分钟的 Linux 安装器，如何结束了他一凿一凿手写 Ruby 的时代。
1:04:14EN
Unsupervised Learning: With Jacob Effron· 2026年7月31日播客The Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House主持 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.
51:31EN
Sequoia Capital· 2026年7月21日播客They Refunded Nearly $2 Million. Then Factory’s CEO Explained the Dark FactoryMatan Grinberg on being two years early, why a model-agnostic harness beats lab co-design, and why 90 percent of coding tokens will soon run with the lights off.
51:09ENSequoia Capital· 2026年6月11日播客Build like the model will eat your harness in a yearLogan Kilpatrick, who leads Google AI Studio and the Gemini API, tells Sequoia's Sonya Huang why agent scaffolding is a 12-month asset, why coding already feels like narrow superintelligence, and why Google is optimizing for outcomes instead of eyeballs.
1:13:33ENUnsupervised Learning: With Jacob Effron· 2026年6月3日播客A Trillion Tokens Later, the Concept Finally Lands: Łukasz Kaiser on What Transformers Still Miss主持 Jacob EffronThe Attention Is All You Need co-author tells Unsupervised Learning that transformers will probably keep winning — and that they still do not learn the way people do.
41:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年5月28日播客 · 2 人对谈After Agents Leak Tokens and Wipe Databases, Onyx Trains Small Models to Watch the Big Ones主持 Sarah Guo, Elad GilTwo years ago enterprise security buyers told Maxim Bar Kogan he was too early. Now Fortune 10 companies are calling a sub-100-person Israeli startup because they cannot stop agent adoption — only reduce the chance the next action is illegitimate.
45:33ENSequoia Capital· 2026年5月26日播客Cursor Ships 1TB of Composer Weights Across Oceans in Under a MinuteFederico Cassano and Fireworks' Dima walk through the globally split RL stack that trained Composer 2 on a sparse trillion-parameter MoE.
2:12:51ENCognitive Revolution "How AI Changes Everything"· 2026年4月19日播客Steve Newman’s fifteen-app stack exists so he only has to look at one screen主持 Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.
1:06:31ENNo 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.
54:26ENCognitive Revolution "How AI Changes Everything"· 2026年2月22日播客Ten Billion Active Parameters, and the Unsexy Work of Making Them Agent-Ready主持 Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
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.
48:03ENSequoia Capital· 2026年1月27日播客Coding Will Be Solved. The Bottleneck Is Saying What You WantWarp founder Zach Lloyd tells Sequoia's Sonya Huang why a rebuilt terminal became the lucky form factor for coding agents, and why he stopped subsidizing tokens.
2:12:31EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年1月25日播客大多数 Caffeine 用户根本不知道自己身处区块链之上主持 Nathan LabenzDFINITY 的 Dominic Williams 向 Nathan Labenz 解释，为什么防篡改、无法被关停的云，正是由聊天框写软件的 AI 所需要的后端。
2:29:42EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年1月18日播客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。
1:54:30EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年1月9日播客癌细胞比例从 1/10 降到百万分之一主持 Nathan LabenzNathan Labenz 独自主持的 AMA（有问必答），更新了儿子淋巴瘤的治疗情况，称 Claude Opus 4.5 为软件层面的通用人工智能（AGI），并盘点了 2026 年初仍具竞争力的玩家。加载更多已显示 24 篇，共 98 篇