每家公司都该像实验室团队一样运作
论证要点
- 作者掌管 Google Labs、Gemini 应用和 AI Studio，其团队以独特的产研文化著称：大量生成想法、快速做实验，更重要的是知道何时放弃。
- 文章主张每家公司现在都需要像实验室团队一样思考和运作，把试验和快速验证变成组织的常态能力。
- 作者提出「几乎可能」（almost possible）框架，用来判断一个想法是否值得投入。
- 作者强调要尽早识别真正的产品市场契合，而不是等到投入大量资源之后才发现方向错误。
- 作者认为知道何时砍掉一个想法是关键能力，这与产生想法同样重要。
- 作者还讨论了 AI 时代哪些技能在升值，并反驳了「所有角色都会融合成一个通用 builder」的说法。
对实践的启示
对做 AI 应用的人来说，重点不是追新功能，而是建立一套能快速试错、尽早验证 PMF、并敢于砍项目的机制；同时要有意识地培养在 AI 时代升值的技能，而不是假设所有岗位都会合并成一个通用角色。
作者承认的反方与局限
作者反驳了「角色正在融合成一个通用 builder 角色」这一流行观点，认为角色并没有真正模糊化。
原文摘引
Why every company now needs to think and operate like a labs team
Why roles are not actually blurring into one universal builder role
▸ 展开原文全文（36 段，抓取自 Lenny's Newsletter）
Josh Woodward is the head of Google Labs, the Gemini app, and AI Studio. He has spent over 17 years at Google and oversees its longest-running and largest labs team, whose products include NotebookLM (now Gemini Notebook), Project Genie, and Flow. His job is to find, experiment with, and scale new AI products, and he has built one of the most distinctive product cultures in the industry for generating ideas, running experiments, and, even more importantly, knowing when to quit.
Listen on YouTube, Spotify, and Apple Podcasts
In our in-depth conversation, we discuss:
- Why every company now needs to think and operate like a labs team
- Where the best ideas really come from
- The “almost possible” framework
- How to recognize genuine product-market fit early
- When to kill an idea
- What skills are rising in value in the AI era
- Why roles are not actually blurring into one universal builder role
- How to set up your internal labs team
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Where to find Josh Woodward:
• X: https://x.com/joshwoodward
• LinkedIn: linkedin.com/in/joshwoodward
Referenced:
• Google Labs: https://labs.google
• Gemini Notebook: https://notebook.google
• Google Flow: https://flow.google.com
• Google Beam: https://beam.google
• Whisk: https://whisk-ai.io
• Nano Banana: https://aistudio.google.com/models/nano-banana
• Google Stitch: https://stitch.withgoogle.com
• Gemini Spark: https://gemini.google/overview/agent/spark
• Gemini Personal Intelligence: https://gemini.google/overview/personal-intelligence
• Meta Muse: https://muse.ai
• AI’s third era: the rise of persistent AI coworkers | Tara Seshan (Product Lead ChatGPT Work): https://www.lennysnewsletter.com/p/ais-third-era-the-rise-of-persistent
• Lenny & Friends Summit: https://www.lennyssummit.com
• Dan Shipper’s website: https://danshipper.com
• Inside OpenAI | Logan Kilpatrick (head of developer relations): https://www.lennysnewsletter.com/p/inside-openai-logan-kilpatrick-head
Recommended book:
• The Master: The Long Run and Beautiful Game of Roger Federer: https://www.amazon.com/Master-Long-Beautiful-Roger-Federer/dp/1538767368
Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
Lenny may be an investor in the companies discussed.