筛选结果
22 篇排序
1:04:14EN
Unsupervised Learning: With Jacob Effron· 2026年7月31日播客The Man Who Helped Stand Up Colossus in 120 Days Is Betting on an AI That Lives in Your House主持 Jacob EffronxAI co-founder Igor Babuschkin left to start River AI, arguing coding agents have crossed a threshold, closed labs are getting squeezed, and the next prize is personal, local intelligence.
1:13:48ENUnsupervised Learning: With Jacob Effron· 2026年7月16日播客Carriers Spend $200 Billion a Year. The Money Went Up the Stack主持 Jacob EffronBenedict Evans tells Jacob Effron why analogizing AI to past platforms is a dead end, and why looking at how those platforms actually made money is not.
1:02:05ENUnsupervised Learning: With Jacob Effron· 2025年9月24日播客$100 Million Researchers and a $200 Billion xAI: An AI Roundtable Does the Math主持 Jacob EffronDatology’s Ari Morcos and Radical Ventures’ Rob Toews argue over whether models are plateauing, whether RL-environment startups will last, and why Google is the lab they would pick.
57:52ENUnsupervised Learning: With Jacob Effron· 2025年8月13日播客They Aimed for 1%. The Lab Hit 20%. Chai Discovery Moved Antibody Design Onto the Computer.主持 Jacob EffronJoshua Meier on three waves of AI drug discovery, why Chai-2 behaves like Photoshop for molecules, and why a 1% hit rate was supposed to be enough to change the industry.
44:21ENUnsupervised Learning: With Jacob Effron· 2025年6月4日播客Mercor's CEO: Knowledge Work's Next Job Is Writing Evals主持 Jacob EffronBrendan Foody tells Redpoint how Mercor turned AI hiring and expert data into a $100 million round — and why he thinks a huge slice of white-collar work will become creating tests for models.
43:51ENUnsupervised Learning: With Jacob Effron· 2025年4月9日播客The $177 Billion GPU Bet Only Works If AI Becomes a $1.5 Trillion Market主持 Jacob EffronFour Redpoint partners walk their limited partners through where AI value will accrue—and why revenue is now the easiest metric to misread.
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.
1:09:31ENUnsupervised 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.
1:11:06ENUnsupervised Learning: With Jacob Effron播客Replit's Amjad Masad on Building Your Own Model, Latency, and the Next Billion Software Creators主持 Jacob EffronThe Replit founder explains why AI should be native to the product, why he trained a small in-house model, and why he thinks software engineering is about to split in two.
1:10:19ENUnsupervised Learning: With Jacob Effron播客The Robot That Folded the Laundry: Physical Intelligence’s Three Frontiers主持 Jacob EffronKarol Hausman and Danny Driess explain how robot foundation models moved from coded primitives to web-scale pretraining, and why performance is now the hard gate.
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.
58:19ENUnsupervised Learning: With Jacob Effron播客Runway's Chris Valenzuela on Why Taste Beats Tools in Generative Media主持 Jacob EffronChris Valenzuela, CEO of Runway, explains why generative media is still early, how taste and iteration shape the work, and what has to change before AI media becomes a new art form.
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.
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.
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.
1:06:22ENUnsupervised Learning: With Jacob Effron播客Perplexity's Bet: Search Becomes Answers, and Answers Become a Business主持 Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.
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.
1:02:15ENUnsupervised Learning: With Jacob Effron播客Suno’s CEO Says the Future of Music Is a Conversation, Not a Prompt主持 Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.