筛选结果
48 篇排序
35:19EN → 简体中文
AI Engineer· 2026年10月25日SallyAnn DeLucia：如何编写你的第一个 AI 评估SallyAnn DeLucia · Arize AI从智能体的真实追踪记录中提炼具体的通过与失败标准，再构建一个能测试、能与人工判断对齐，并能在生产环境运行的大模型裁判。
1:29:02EN
Cognitive Revolution "How AI Changes Everything"· 2026年7月1日播客From 50 Designs a Day to 1,500: How AI Changed What Jaguar Land Rover Can Explore主持 Nathan LabenzNeural Concept’s Thomas von Tschammer on specialist physics models, engineering copilots, and why Formula 1 already runs thousands of designs overnight.
1:18:49ENCognitive Revolution "How AI Changes Everything"· 2026年2月8日播客If AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous Forensics主持 Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.
39:47EN
Sequoia Capital· 2026年1月21日播客The Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.
48:00EN
Unsupervised Learning: With Jacob Effron· 2025年12月15日播客A Two-Second Vote Is Training Models to Be Clickbait主持 Jacob EffronSurge AI CEO Edwin Chen tells Redpoint why LMArena rewards length and emojis, how one lab's models got worse for a year, and why frontier labs are no longer on the same path.
43:38ENSequoia Capital· 2025年11月11日播客A 2 A.M. Codename and a Face That Finally Looked Like YouGoogle's product and model leads walk Sequoia through how Nano Banana made single-photo character consistency feel real — and why fun, craft, and human evals did as much work as scale.
44:47ENSequoia Capital· 2025年10月14日播客The Last Mile Is Where Contact-Center AI Gets RealCresta CEO Ping Wu and Sequoia's Doug Leone on why 17 to 20 million agents, legacy systems, and last-mile integration will decide who wins customer experience.
32:59EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年7月24日播客 · 2 人对谈A Hundred People, a Billion in Revenue, and Zero Venture Money主持 Sarah Guo, Elad GilSurge AI founder Edwin Chen on why quality human data is a poetry problem, not a bounding-box problem, and why leaderboards keep training models to write clickbait.
37:37ENSequoia Capital· 2025年7月22日播客A dozen people, 28 minutes, and one shared desktopThe OpenAI trio behind ChatGPT Agent explain how Deep Research and Operator became a virtual computer that can reason for half an hour and still ask you before it spends money.
38:48ENCognitive Revolution "How AI Changes Everything"· 2025年6月14日播客Task Length Doubles Every Few Months. Nathan Labenz Still Wants Humans in Charge主持 Nathan LabenzAt Imagine AI Live, the Cognitive Revolution host maps structured AI agents against autonomous agentic systems—and tells businesses to keep final control.
41:25ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年6月12日播客 · 2 人对谈Ben Mann thinks superintelligence by 2028 is quite possible主持 Sarah Guo, Elad GilAnthropic's co-founder tells No Priors how Claude 4 unlocked hours of unattended agent work, why the lab built Claude Code, and what an economic Turing test would actually measure.
37:45ENSequoia Capital· 2025年6月10日播客Codex Is a Thought Experiment: What If the Agent Worked on Its Own Computer?OpenAI’s Codex team on training o3 to write mergeable PRs, running four copies of a 1 a.m. bug, and why the product only clicks once you stop pairing and start delegating.
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.
51:19ENUnsupervised Learning: With Jacob Effron· 2025年4月29日播客Sal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product主持 Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.
1:11:05ENSequoia Capital· 2025年4月1日播客The Man Who Took HubSpot CRM to $40 Million Says the Data Model Has to Be Thrown OutDay.ai founder Christopher O’Donnell tells Sequoia’s Pat Grady why classic CRM is compressed pixel art, why full self-driving scared his users, and why every line of code has to make every other line more valuable.
38:43ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年3月27日播客 · 2 人对谈Two in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stay主持 Sarah Guo, Elad GilAbridge CEO Shiv Rao on treating the doctor-patient conversation as healthcare's source of truth, and why the company ran straight at the hardest health systems.
50:35ENNo Priors: AI, Machine Learning, Tech, & Startups· 2025年3月13日播客 · 2 人对谈Copilot Already Writes Half the Code. GitHub's CEO Says Agents Still Have Four Gates to Clear主持 Sarah Guo, Elad GilThomas Dohmke on agent mode, why median developers are not going anywhere, and how AI is repricing the tools that write software.
57:11ENUnsupervised Learning: With Jacob Effron· 2025年1月30日播客A Million Tokens Cannot Write a Good Joke主持 Jacob EffronPrinceton's Arvind Narayanan on why agent evals mislead, inference scaling hits a wall, and AI looks more like the internet than an overnight revolution.
1:33:01ENCognitive Revolution "How AI Changes Everything"· 2025年1月15日播客Rare Diseases Are Common: How a Harvard Gene Hunter Uses o1-pro on the Cases Sequencing Already Missed主持 Nathan LabenzDr. Catherine Brownstein of Boston Children's Hospital explains why cheap genomes made her job harder, why data sharing still beats any model, and where ChatGPT Pro actually gives her hours back.
1:01:53ENCognitive Revolution "How AI Changes Everything"· 2024年12月18日播客Humans Wrote 1.3 Percent of the Tokens. The AI Lab Still Designed Working Nanobodies.主持 Nathan LabenzStanford's James Zou describes a GPT-4o research group that invented a protein-design pipeline for under $100 — and a sparse autoencoder that pulled an undocumented motif out of ESM-2.
1:29:00ENCognitive Revolution "How AI Changes Everything"· 2024年12月11日播客14,000 people applied. Thirty-three got in. The jobs are at Homeland Security.主持 Nathan LabenzMichael Boyce, director of the DHS AI Corps, tells Nathan Labenz how the largest civilian AI team in the U.S. government is being built — and what it is already shipping.
1:55:53ENCognitive Revolution "How AI Changes Everything"· 2024年12月5日播客AI Beats Humans at Reading Papers. It Still Cannot Count Atoms.主持 Nathan LabenzAndrew White, Head of Science at Future House, maps what language models can already do in chemistry and biology—and the bottlenecks they do not dissolve.
44:48ENSequoia Capital· 2024年10月29日播客Enterprise Google Failed for Twenty Years. A Search Veteran Finally Made It Work.Glean CEO Arvind Jain on why company search is harder than the public web, why RAG lives or dies on retrieval, and what work looks like when every employee has an AI assistant.
1:23:37ENCognitive Revolution "How AI Changes Everything"· 2024年10月23日播客Nine of the top ten research ideas were Claude's主持 Nathan LabenzStanford PhD student Chenglei Si ran a blind study pitting Claude 3.5 Sonnet against more than a hundred NLP researchers on novel research ideas.加载更多已显示 24 篇，共 48 篇