筛选结果
20 篇排序
1:04:14EN → 简体中文
Unsupervised Learning: With Jacob Effron· 2026年7月31日播客帮忙在 120 天内建起 Colossus 的人，正押注一个住在你家里的 AI主持 Jacob EffronxAI 联合创始人 Igor Babuschkin 离开后创办了 River AI。他认为，编程智能体（Agent）已经跨过了一道门槛，闭源实验室正被挤压，而下一个大奖是个人化、本地化的智能。
56:10EN → 简体中文Unsupervised Learning: With Jacob Effron· 2026年6月1日播客Reid Hoffman 曾承诺十亿美元救出 DeepMind，Hassabis 却从没打出这张牌主持 Jacob EffronSebastian Mallaby 为 Demis Hassabis 所写的传记，与 Jacob Effron 的对谈，讲的是一位创始人如何先想让 AI 竞赛停下来，最后却成了其中的核心人物之一。
1:18:05EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年12月18日播客AI 研究的真正瓶颈是算力，缺的不是点子主持 Jacob EffronNeurIPS 之后，Ari Morcos 和 Rob Toews 与 Jacob Effron 坐下来争论：模型是否遇到平台期、SSI 的保密、OpenAI 的烧钱，以及几项尖锐的 2026 年押注。
1:16:53EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年10月24日播客Karpathy 说今天的模型是“slop”，他的十年时间表听起来仍然很乐观主持 Jacob EffronDatology AI 的 Ari Morcos 与 Radical Ventures 的 Rob Toews 梳理了 Karpathy 的一盆冷水、OpenAI 的交易，以及究竟是谁在为数据中心热潮买单。
1:02:05EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年9月24日播客1 亿美元的研究员与 2000 亿美元的 xAI：AI 圆桌算了一笔账主持 Jacob EffronDatology 的 Ari Morcos 与 Radical Ventures 的 Rob Toews 争论：模型是否进入平台期，强化学习环境（RL environment）创业公司能否撑得久，以及为什么谷歌是他们会选的实验室。
43:51EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年4月9日播客只有 AI 成为 1.5 万亿美元的市场，1770 亿美元的 GPU 押注才说得通主持 Jacob EffronRedpoint 的四位合伙人向自己的有限合伙人（LP）讲解 AI 价值将在哪里积累，以及为什么收入如今是最容易看错的指标。
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。
1:05:22ENUnsupervised Learning: With Jacob Effron播客Build First, Optimize Later: Harrison Chase on LangChain, Evals, and the State-Machine Future of Agents主持 Jacob EffronHarrison Chase explains how LangChain grew from an orchestration layer into LangSmith and LangGraph, why evaluation datasets force product clarity, and why reliable agents look more like state machines than autonomous loops.
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.
1:09:31ENUnsupervised Learning: With Jacob Effron播客The Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First Learning主持 Jacob EffronHow Speak's CEO is building a fluency product one model-capability step at a time, from specialized speech models to evals, pricing, and the future of education.
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.
40:00ENUnsupervised Learning: With Jacob Effron播客The Winds of Change: How Mistral Plans to Win the Open-Model Era主持 Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.
1:00:10ENUnsupervised Learning: With Jacob Effron播客The Long Leash and the Narrow Fences: Eric Ries and Jeremy Howard on Building AI’s Edison Lab主持 Jacob EffronEric Ries and Jeremy Howard discuss Lean Startup discipline in AI, Answer.AI’s for-profit R&D lab model, efficient fine-tuning, language-heavy applications, and AI safety regulation.
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.
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.
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.
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.