筛选结果
37 篇排序
48:31ENA Call Center Contact Costs $13. A Company Agent Can Do It for Under a Dollar主持 Sarah Guo, Elad GilSierra cofounder and OpenAI chairman Bret Taylor tells No Priors why branded customer agents are shovel-ready, why RAG demos are not products, and how AI software should charge for the job done.
49:50ENUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.
1:21:50ENA 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.
1:25:11EN105 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.
42:25ENThe Transformer Co-Author Who Wants to Give AI a Wallet主持 Sarah Guo, Elad GilIllia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR, argues that a blockchain account turns a language-model agent into an economic actor that can hire people and other AIs.
1:45:46ENReplit'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.
1:40:44ENGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4主持 Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
1:21:06ENEveryone 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.
1:32:32EN → 简体中文把写代码的人变成建筑师:Scott Wu 谈 Devin 与软件工程的下一形态嘉宾 Scott Wu · 主持 Lenny RachitskyCognition 联合创始人解释 15 人团队如何用一群 Devin 开发 Devin,产品现在能做什么、不能做什么,以及为什么他认为程序员会变多而不是变少。
1:11:47ENThe 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。
1:19:39ENEngineers 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.









