筛选结果
22 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。
1:06:36EN → 简体中文Unsupervised Learning: With Jacob Effron· 2026年6月12日播客账单一夜翻倍，接下来 API 可能会消失主持 Jacob Effron隔了半年，Ari Morcos 和 Rob Toews 再次与 Jacob Efron 碰面，讲了为什么编程智能体终于能用了，为什么接近前沿的开放权重模型可能已经见顶，以及算力短缺为何可能让公开 API 被拔掉插头。
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。
1:09:48EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年12月5日播客中国 AI 实验室从 15 家减到 6 家，算力差距是 15 比 1主持 Jacob EffronJordan Schneider 在《Unsupervised Learning》节目中说，中国的模型是私人资本的故事，北京仍然从硬件的角度看问题。西方真正的优势，在于它能够对外供应的芯片，并非什么国家统筹的总体规划。
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。
51:08ENUnsupervised Learning: With Jacob Effron· 2025年4月15日播客The Transformer Co-Author Who Says Scaling Hit a Wall主持 Jacob EffronCohere CEO Aidan Gomez tells Redpoint that a $100 million model is still an amnesiac genius, and that enterprise AI money is concentrating in support, research, and the back office.
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。
1:01:53EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年3月28日播客开源模型只占企业用量的 5%，GPT 套壳赢了主持 Jacob EffronLatent Space 的 Swyx 和 Alessio 与 Redpoint 一起梳理了哪些东西真正有产品市场契合（PMF），以及为什么应用层才是真正要争的那一仗。
45:06ENUnsupervised Learning: With Jacob Effron· 2025年3月5日播客Mike Schroepfer: AI’s Bottleneck Is Electricity, and One Tanker of Fusion Fuel Could Power the U.S. for a Year主持 Jacob EffronMeta’s former CTO tells Redpoint why hyperscaler demand is the climate story, why Llama was an access play, and why tomorrow’s CTO still lives or dies on a priority queue.
57:11EN → 简体中文Unsupervised Learning: With Jacob Effron· 2025年1月30日播客一百万个 Token，也写不出一个好笑话主持 Jacob Effron普林斯顿大学的 Arvind Narayanan 谈：为什么智能体评测会误导人，推理时扩展（inference scaling）为何会撞上墙，以及 AI 更像互联网，而非一夜之间的革命。
1:07:32ENUnsupervised Learning: With Jacob Effron· 2024年12月18日播客o1 Is a New Generation — and the Day AGI Arrives Will Feel Boring主持 Jacob EffronOpenAI’s former chief research officer Bob McGrew on why o1 is a 100x leap, why agents stall on reliability, and why AGI may land as office tedium rather than a single dramatic moment.
52:41ENUnsupervised Learning: With Jacob Effron· 2024年3月6日播客A 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.
1:06:39ENUnsupervised Learning: With Jacob Effron· 2024年1月9日播客OpenAI's First DevRel Writes 90% of His Code with ChatGPT — and Says Web Agents Still Need Years主持 Jacob EffronLogan Kilpatrick on picking GPT-3.5 versus GPT-4, why plugins stalled, and why the public internet is not ready for autonomous agents.
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.
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.
1:04:35ENUnsupervised 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.
50:23ENUnsupervised Learning: With Jacob Effron播客OpenAI’s Platform Bet: Where AI Value Accrues, Why Open Source Trails, and When Superintelligence Arrives主持 Jacob EffronPeter Welinder explains OpenAI’s platform strategy, the case for proprietary frontier models over open source, the enterprise hallucination problem, and his speculative timeline for AGI and superintelligence.
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.