筛选结果
23 篇排序
1:13:48EN → 简体中文
Unsupervised Learning: With Jacob Effron· 2026年7月16日播客运营商每年投入 2000 亿美元，钱却流向了上层主持 Jacob EffronBenedict Evans 在 Jacob Effron 的节目里说，拿 AI 去类比过去的平台是条死路，但研究这些平台实际上如何赚钱，却是有用的。
57:37EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年12月10日播客OpenAI 企业产品负责人：换模型只改一个参数的日子已经过去主持 Jacob EffronOlivier Godement 谈 GPT-5.1、Codex、企业用的骨架层（harness，即把模型接到工具上的那一层），以及真正让 AI 在大公司落地的三条做法。
44:21EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年6月4日播客Mercor CEO：知识型工作的下一个岗位是写评测主持 Jacob EffronBrendan Foody 向 Redpoint 讲述，Mercor 如何靠 AI 招聘和专家数据拿到一轮 1 亿美元的融资，以及他为什么认为很大一部分白领工作会变成为模型编写测试。
51:08EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年4月15日播客说规模化已撞墙的 Transformer 合著者主持 Jacob EffronCohere CEO Aidan Gomez 在 Redpoint 的访谈中说，一个耗资 1 亿美元的模型，依然是个失忆的天才；而企业 AI 的钱，正集中流向客户支持、研究和后台职能。
1:04:54EN → 简体中文Unsupervised Learning: With Jacob Effron· 2024年11月12日播客他拿公司股权赌 Transformer 能撑下去，然后为 12000 家公司画出一张 AI 地图主持 Jacob EffronDatabricks 首席 AI 科学家 Jonathan Frankle 告诉企业，什么时候该用提示词、什么时候该微调或预训练，以及他为什么仍然不肯预测下一代架构。
56:10EN → 简体中文Unsupervised Learning: With Jacob Effron· 2024年10月29日播客DeepL 靠不做通用模型，在翻译上击败了谷歌主持 Jacob Effron全世界只有 18% 的人说英语，德国科隆的一家创业公司把这个事实变成了一家估值 20 亿美元的语言 AI 公司。
52:41EN → 简体中文Unsupervised Learning: With Jacob Effron· 2024年3月6日播客一个坏掉的腰带扣，把古驰的呼叫中心变成了销售现场主持 Jacob EffronSalesforce AI CEO Clara Shih 谈 Service GPT、Einstein Copilot，以及真正的门槛是信任，成本在其次。
54:44ENUnsupervised Learning: With Jacob Effron播客Legal 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.
1:01:47ENUnsupervised Learning: With Jacob Effron播客Inside 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.
51:30ENUnsupervised Learning: With Jacob Effron播客Less 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.
1:04:25ENUnsupervised Learning: With Jacob Effron播客Inside 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.
57:08ENUnsupervised Learning: With Jacob Effron播客Shipping 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.
1:09:00ENUnsupervised Learning: With Jacob Effron播客The 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.
1:04:35ENUnsupervised Learning: With Jacob Effron播客Oscar 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.
54:05ENUnsupervised Learning: With Jacob Effron播客Serval'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.
57:25ENUnsupervised Learning: With Jacob Effron播客From 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.
51:55ENUnsupervised Learning: With Jacob Effron播客The 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.
44:53ENUnsupervised Learning: With Jacob Effron播客Legora's CEO on Building Legal AI That Survives the Next Model Release主持 Jacob EffronMax explains how Legora turns fast-moving model capabilities into end-to-end legal work, enterprise adoption, and a durable product strategy.
51:45ENUnsupervised Learning: With Jacob Effron播客Cameras Optional: HeyGen's Joshua Xu on Avatars, Orchestration and Building Ahead of the Models主持 Jacob EffronHeyGen co-founder and CEO Joshua Xu explains how AI avatars are replacing the camera for business video, and how the company handles quality, trust and safety, and capital.
46:48ENUnsupervised Learning: With Jacob Effron播客Snowflake's AI Stack: Small Models, the Text-to-SQL Iceberg, and Why Governance Comes First主持 Jacob EffronSnowflake head of AI Baris Gekken explains how Arctic and Cortex were built, where enterprise AI actually works today, and why precision, governance and evaluation matter more than raw model capability.
45:00ENUnsupervised Learning: With Jacob Effron播客Agents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure主持 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.
54:52ENUnsupervised Learning: With Jacob Effron播客Coding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier主持 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.
1:01:13ENUnsupervised Learning: With Jacob Effron播客Pinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunami主持 Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.