筛选结果
58 篇排序
1:37:52ENChina Has 17 Million Chatbot Users and No OpenAI主持 Nathan LabenzA Beijing-based watcher walks through China's LLM players, products, regulation, and the delayed bill from the U.S. chip ban.
1:28:37ENTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup Around主持 Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.
52:41ENA Broken Belt Buckle Turned Gucci's Call Center Into a Sales Floor主持 Jacob EffronSalesforce AI CEO Clara Shih on Service GPT, Einstein Copilot, and why trust—not cost—is the real bar to enterprise scale.
1:30:41ENThe Model Is a Baked Cake. NYT v. OpenAI Will Likely Cut a Middle Path主持 Nathan LabenzTech lawyer Cecilia Ziniti maps the Constitution’s IP clause onto the New York Times lawsuit — and explains why a court is unlikely to order GPT-4 destroyed.
1:53:08ENWhen GPT-4 Writes SQL, Four Tables Is the Breaking Point主持 Nathan LabenzJuan Sequeda on why a knowledge graph is the accurate, explainable brain that foundation models do not have.
1:22:43ENFive billion minutes of calls: why Dialpad trained its own business LLM主持 Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.
59:28ENFrom $500,000 to $50,000: MosaicML Made Training Your Own Model a Priced Product主持 Nathan LabenzJonathan Frankle and Abhi Venigalla explain who is training custom LLMs, why extraction beats chat, and how ALiBi stretches a 65k context window.
1:10:11ENTrying ChatGPT is not the same as using it主持 Nathan LabenzRachel Woods of The AI Exchange tells Nathan Labenz what she learned from more than a hundred company calls: start inside the business, skip the annual tool contract, and expect to be using only a sliver of what the models can already do.
1:27:23EN → 简体中文大公司实验很多,缺的是押上全部:Jeetu Patel 如何让 Cisco 全面转向 AI主持 Lenny RachitskyCisco 总裁兼首席产品官讲述九万人如何成为 AI-first、公司在 AI 基础设施里做什么,以及背后关于叙事、坦诚和「上场许可」的领导课。
1:37:29EN → 简体中文Palantir 如何把前线工程师练成创始人工厂主持 Lenny Rachitsky前 Palantir 前线部署工程师 Nabeel Qureshi 解释这家公司怎样用故意让人却步的招聘、嵌入客户的工程师和本体数据平台,持续产出创始人与产品负责人。
54:44ENLegal Tech's Step-Function Moment: Why Legora Bet on the Last 20%主持 Jacob EffronLegora CEO Max explains the $550M Series D, AI-native legal work, foundation-model competition, and the culture required to keep moving fast.
1:01:47ENInside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partners主持 Jacob EffronNotion AI engineer Linus Lee explains how a dozen-person team went from a hotel-room hackathon to Writer, Autofill and workspace Q&A.
1:52:49EN → 简体中文Anthropic 增长负责人:七成时间在救「成功灾难」,Claude 已能当初级增长 PM主持 Lenny RachitskyAmol Avasare 讲述约四十人的增长团队如何应对超高速增长、用 Claude 自动跑实验,以及产品和工程师配比为什么可能要反过来。
51:30ENLess Email, Better Thinking: Grammarly’s CEO on AI That Augments Communication主持 Jacob EffronGrammarly CEO Rahul explains how the company is moving from grammar checks to end-to-end communication assistance—and why evals, user data, and measurable outcomes matter.
1:04:25ENInside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Endures主持 Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.
57:08ENShipping Finn: Intercom's Product Playbook for the ChatGPT Era主持 Jacob EffronDes Traynor explains how Intercom pivoted to AI, shipped Finn, built guardrails, and turned customer support into a product lab for LLMs.
50:03EN → 简体中文Copilot 是副驾驶,不是飞行员:GitHub CPO 谈 AI 不会取代开发者主持 Lenny RachitskyInbal Shani 解释 AI 会改开发者怎么干活,但不会取代人,以及团队该从问题而不是从工具出发去采用它。
1:09:00ENThe Meeting Is the Moat: Fireflies.ai’s Path to 16 Million Users主持 Jacob EffronKrish Ramani explains how Fireflies.ai turned AI note-taking into a meeting chief of staff, why he avoids fine-tuning, and how a startup competes with Microsoft, Zoom, and Google.
1:04:35ENOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent Care主持 Jacob EffronMario, Oscar Health's CTO and co-founder, explains how a regulated insurer deploys LLMs today and what stands between healthcare and AI doctors.
54:05ENServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a Meeting主持 Jacob EffronHow an AI-native employee-support startup attacks a legacy ITSM incumbent with velocity, code-generated workflows and a permissions-first architecture.
57:25ENFrom RAG to Reasoning: Why the Future of AI Is a System, Not a Model主持 Jacob EffronDouwe Kiela explains what OpenAI's o1 reveals about test-time compute, why enterprise AI must be specialized, and where post-training and evaluations are heading.
51:55ENThe Search Engine Under AI Apps: Why Bigger Context Windows Aren't Enough主持 Jacob EffronTurbopuffer CEO Simon on object-storage databases, vector-search trade-offs, and the AI features that will become SaaS table stakes.
40:58EN → 简体中文地面一直在动,OpenAI 和 Anthropic 的产品负责人怎么做 AI 产品主持 Lenny RachitskyOpenAI 的 Kevin Weil 与 Anthropic 的 Mike Krieger 对谈 AI 产品管理和传统软件有何不同,从评测、企业买家到计算机使用、推理模型和主动智能体。
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。
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