为所有前沿 AI 模型提供训练支持的专家网络内部故事｜加勒特・洛德

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AI大佬 3Blue1Brown 20VC a16z Andrej Karpathy Lenny's Podcast Peter Yang AI and I（by Every） Unsupervised learning(by RedPoint Capital) Training data(by Sequoia Capital) AI Engineers World Fair Stripe Sessions Figma Config South Park Commons Google DeepMind the Podcast No Priors Latent Space The AI Daily Brief Y Combinator Lex Fridman Dwarkesh Podcast Open AI Anthropic Riley Brown Greg lsenberg Ras Mic Mckay Wrigley Dive Club Jeff Su Tina Huang AI explained Stratechery Rundown ai Eye on ai How to AI Learnify AI The AI Spotlight The AI Learning Prompt Engineering FreeCodeCamp.org The Future of AI Siraj Raval

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AI大佬 3Blue1Brown 20VC a16z Andrej Karpathy Lenny's Podcast Peter Yang AI and I（by Every） Unsupervised learning(by RedPoint Capital) Training data(by Sequoia Capital) AI Engineers World Fair Stripe Sessions Figma Config South Park Commons Google DeepMind the Podcast No Priors Latent Space The AI Daily Brief Y Combinator Lex Fridman Dwarkesh Podcast Open AI Anthropic Riley Brown Greg lsenberg Ras Mic Mckay Wrigley Dive Club Jeff Su Tina Huang AI explained Stratechery Rundown ai Eye on ai How to AI Learnify AI The AI Spotlight The AI Learning Prompt Engineering FreeCodeCamp.org The Future of AI Siraj Raval
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赚钱密码读懂人性创业认知商业认知个人成长书单认知方法

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赚钱密码读懂人性创业认知商业认知个人成长书单认知方法
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一人公司副业赋能副业项目 DonKoe 研报学习

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一人公司副业赋能副业项目 DonKoe 研报学习
AI智库

Coze Make AIP AI机会提示词 Deepseek

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Coze Make AIP AI机会提示词 Deepseek
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学习产品心理咨询 K18 高考志愿

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学习产品心理咨询 K18 高考志愿

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Garrett Lord is co-founder and CEO of Handshake, which started as a career network for college students and new grads but recently discovered something extraordinary: they were sitting on the world’s largest network of academic experts—exactly what frontier AI labs desperately needed. With 500,000 PhDs and 3 million advanced degree holders creating training data, in just eight months they’ve built a new business that hit $50 million in revenue in its first four months and is on track to blow past $100M in the first 12 months.What you’ll learn:1. How Handshake found an opportunity to leverage their proprietary network of experts to launch a data-labeling business that’s on track to blow past $100 million ARR in 12 months 2. Why AI models need human experts (e.g. physics PhDs) to improve, and what this “data labeling” actually involves 3. Inside the actual work: what a biology PhD does for 8 hours that makes GPT-5 smarter 4. The playbook for building a startup inside a startup: separate teams, separate offices, separate everything 5. Why the shift from “generalist” to “expert” data labeling created a once-in-a-lifetime business opportunity 6. Why AI won’t eliminate entry-level jobs—it’s creating “Iron Man suits” that make junior employees 10x more productiveBrought to you by:CodeRabbit—Cut code review time and bugs in half. Instantly: https://coderabbit.link/lennyOrkes—The enterprise platform for reliable applications and agentic workflows: https://www.orkes.io/Claude.ai—The AI for problem solvers and enterprise: https://www.claude.ai/lennyTranscript: https://www.lennysnewsletter.com/p/in...My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/17...Where to find Garrett Lord:• X: https://x.com/garrettlord• LinkedIn: / garrettlord • Email: Garrett@joinhandshake.comWhere to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: / lennysan • LinkedIn: / lennyrachitsky In this episode, we cover:(00:00) Introduction to Garrett Lord (05:00) Understanding data labeling and its importance (13:08) The role of experts in AI model training (15:35) The future of AI and human collaboration (24:17) Why AI won’t eliminate entry-level jobs (27:58) The continuous improvement of AI models (33:05) The emergence of Handshake’s new business model (37:07) Incubating new ideas in established companies (40:42) Handshake's competitive advantage (45:43) Scaling up and meeting market demand (48:38) Overcoming challenges and adapting (53:08) The importance of separate teams and ownership (57:26) The future of job matching with AI (01:00:30) The biggest bottlenecks to advancing models further (01:02:37) Lightning round and final thoughtsReferenced:• GPQA: https://github.com/idavidrein/gpqa• Handshake: https://joinhandshake.com/• OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/ke...• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/in...• Goldman Sachs: https://www.goldmansachs.com/• General Motors: https://www.gm.com/• Google: https://about.google/• Sahil Bhaiwala on LinkedIn: / sahil-bhaiwala-459b0354 • Francisco “Paco” Guzman on LinkedIn: / guzmanhe • Avery Yip on LinkedIn: / averyyip • Game of Thrones on HBO: https://www.hbomax.com/shows/game-of-...• SNOO: https://www.happiestbaby.com/products...• Careers at Handshake: https://joinhandshake.com/careers/Recommended books:• Zero to One: Notes on Startups, or How to Build the Future: https://www.amazon.com/Zero-One-Notes...• The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/Hard-Thing-Abo...Production and marketing by https://penname.co/.For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed.