筛选结果
63 篇排序
16:22EN → 简体中文Claire Vo:Claude Duet 很美,但不是我的首选智能体主持 Claire VoAnthropic 这款手机端个人智能体,是 Claire Vo 见过打磨最到位的发布:新手引导用心、有任务列表、产物是一等公民,还有 Slack 式频道。可当别的智能体都在抢同一份注意力时,精致还不够。
2:50:40ENThey Priced the Chance She Would Leave. Then They Handed Her the Letter.主持 Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.
2:23:43ENHe Bought an Android, Two SIMs, and Left Claude Watching His Inbox主持 Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.
1:37:50ENGranola Added More Customers Than Almost Anyone by Being Surprisingly Unambitious主持 Nathan LabenzCo-founder Sam Stephenson tells Nathan Labenz how a calm notes app for frazzled meeting days, one Slack-sharing loop, and a refusal to promise the burning-fire work built a $1.5 billion company.
40:13ENAs long as humans still need to read code, the IDE is not dyingZed founder Nathan Sobo argues that source code is a language for people, that terminal agents still need a visual editor, and that conversations should be anchored to every edit.
1:41:34ENChat Is the Universal Interface—and Often the Worst One主持 Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.
43:38ENA 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.
1:30:17ENHe Co-Wrote the Transformer Paper. Now He Wants You to Own Your AI.主持 Nathan LabenzNEAR founder Illia Polosukhin maps a future of personal software, agent-run markets, and AI delegates that vote without a private agenda.
42:20ENA Name Invented at 2:30 a.m. Put Gemini on Top of the App Store主持 Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
1:01:00ENv0 Hit 3 Million Users. Vercel’s CEO Says Pages Will Be Generated On Demand Within Five YearsFor a company that sells cloud hosting and frontend tools, one of the fastest-growing signup channels is ChatGPT.
1:19:46ENSuspended from Columbia, He Raised $15 Million to Cheat on Everything主持 Nathan LabenzRoy Lee, founder of Cluely, argues that an undetectable desktop overlay, AI maximalism, and a post-AGI life of 800-year spans are the same bet.
1:22:31ENTwo Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma Real主持 Nathan LabenzMacKenzie Price explains how Alpha School uses adaptive apps—not chatbots—to finish core academics in two hours a day and still beat the growth models.
43:04EN750 Million Excel Users, 30 Million Engineers: Wordware's Bet on Word ArtisansFilip Kozera tells Sequoia why English is the assembly language of LLMs, and why the people who win will be the ones who can encode taste into structured prompts.
1:05:11ENThe Fake Five-Second Hold: Voice AI Is Already Negotiating With Truckers主持 Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.
44:34ENThe Cheaper Intelligence Gets, the More of It We'll Buy主持 Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.
1:32:29EN17 Edits, Then 3 Prompts: Lovable Builds the Same App Twice主持 Nathan LabenzAnton Osika and Isaak Sundeman live-build a shopping comparison tool and argue that opinionated defaults—not open-ended agents—are how non-coders actually ship software.
54:47ENNinety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.
38:48ENWho Wants to Chat With an Expense Report?Ramp CEO Eric Glyman tells Sequoia why the chatbot gold rush missed the point, and why the better analogy for company finance is a Waymo: self-driving money.
32:07ENA 10-Person Team, One Click, and Two Years of Fake DeadlinesNotebookLM’s product and design leads explain how a source-grounded research tool became a viral two-host podcast generator—and what they refuse to add next.
2:29:04EN → 简体中文让程序员留在驾驶座上:Cursor 创始人谈 Tab、智能体(Agent)与零熵编辑嘉宾 Cursor Team · 主持 Lex FridmanMichael Truell、Aman Sanger、Sualeh Asif 和 Arvid Lunnemark 向莱克斯·弗里德曼(Lex Fridman)讲述了他们为什么要分叉 VS Code、Tab 和 Apply 究竟如何运作,以及为什么大多数编程仍然需要人类实时迭代。
1:12:31ENA Bare Model Closes 35% of Airline Changes. Sierra's Agents Clear 70% of Real Tickets.Clay Bavor on why putting a raw LLM in front of customers does not math, and how AgentOS, supervisor agents, and outcome pricing change the arithmetic.
1:12:41ENThe CEO Who Laid Himself Off Is Building a Business Operating System主持 Nathan LabenzSiqi Chen of Runway tells Nathan Labenz why finance is a company-wide simulation, why chat boxes fail, and how a 100-person cap plus ambient intelligence is the real product strategy.
3:02:16EN → 简体中文答案之后,旅程才刚开始:Perplexity CEO Aravind Srinivas 谈搜索与好奇心嘉宾 Aravind Srinivas · 主持 Lex Fridman2022 年,Perplexity 的第一位员工问起健康保险,四个博士却没能从谷歌上得到一个清楚的答案。
49:50ENUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.
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