8 万家公司如何借助 AI 开展业务：将产品视为有机生命体，组织结构图走向消亡｜阿莎・沙尔马

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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
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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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Asha Sharma leads AI product strategy at Microsoft, where she works with thousands of companies building AI products and has unique visibility into what’s working (and what’s not) across more than 15,000 startups and enterprises. Before Microsoft, Asha was COO at Instacart, and VP of Product & Engineering at Meta, notably leading product for Messenger.What you’ll learn:1. Why we’re moving from “product as artifact” to “product as organism” and what this means for builders 2. Microsoft’s “seasons” planning framework that allows them to adapt quickly in the AI era 3. The death of the org chart: how agents are turning hierarchies into task networks and why “the loop, not the lane” is the new organizing principle 4. Why post-training will soon see more investment than pre-training—and how to build your own AI moat with fine-tuning 5. Her prediction for the “agentic society”—where org charts become work charts and agents outnumber humans in your company 6. The three-phase pattern every successful AI company follows (and why most fail at phase one) 7. The rise of code-native interfaces and why GUIs might be going the way of the desktop 8. What Asha learned from Satya Nadella about optimismBrought to you by:Enterpret—Transform customer feedback into product growth: https://enterpret.com/lennyDX—The developer intelligence platform designed by leading researchers: https://getdx.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lennyTranscript: ⁠https://www.lennysnewsletter.com/p/ho...My biggest takeaways (for paid newsletter subscribers): ⁠https://www.lennysnewsletter.com/i/17...Where to find Asha Sharma:• LinkedIn: / aboutasha • Blog: https://azure.microsoft.com/en-us/blo...Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: / lennysan • LinkedIn: / lennyrachitsky In this episode, we cover:(00:00) Introduction to Asha Sharma (04:18) From “product as artifact” to “product as organism” (06:20) The rise of post-training and the future of AI product development (09:10) Successful AI companies: patterns and pitfalls (12:01) The evolution of full-stack builders (14:15) “The loop, not the lane”—the new organizing principle (16:24) The future of user interfaces: from GUI to code-native (19:34) The rise of the agentic society (22:58) The “work chart” vs. the “org chart” (26:24) How Microsoft is using agents (28:23) Planning and strategy in the AI landscape (35:38) The importance of platform fundamentals (39:31) Lessons from industry giants (42:10) What’s driving Asha (44:30) Reinforcement learning (RL) and optimization loops (49:19) Lightning round and final thoughtsReferenced:• Copilot: https://copilot.microsoft.com/• Cursor: https://cursor.com/• The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/th...• Inside ChatGPT: The fastest growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/in...• GitHub: https://github.com• Dragon Medical One: https://www.microsoft.com/en-us/healt...• Windsurf: https://windsurf.com/• Building a magical AI code editor used by over 1 million developers in four months: The untold story of Windsurf | Varun Mohan (co-founder and CEO): https://www.lennysnewsletter.com/p/th...• Lovable: https://lovable.dev/• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (CEO and co-founder): https://www.lennysnewsletter.com/p/bu...• Bolt: http://bolt.com• 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...• Replit: https://replit.com/•Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/be...• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he...• Sierra: https://sierra.ai/• Spark: https://github.com/features/spark• Peter Yang on X: https://x.com/petergyang• How AI will impact product management: https://www.lennysnewsletter.com/p/ho......References continued at: https://www.lennysnewsletter.com/p/ho...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.