AI离取代产品经理有多近?

👋 Hey, Lenny here! Welcome to this month’s ✨ free edition ✨ of Lenny’s Newsletter. Each week I tackle reader questions about building product, driving growth, and accelerating your career. If you’re not a subscriber, here’s what you missed this month:

👋 嘿,Lenny在这里!欢迎来到本月的免费版Lenny的通讯。每周我都会回答读者关于产品建设、推动增长和加速职业发展的问题。如果你还不是订阅者,以下是你错过的内容:

Subscribe to get access to these posts, and every post. For more: Best of Lenny’s Newsletter | Hire your next product leader | Podcast | Lennybot | Swag

订阅以获取这些文章和每篇文章的访问权限。更多内容请访问:Lenny的通讯精选 | 招聘你的下一个产品负责人 | 播客 | Lennybot | 周边商品

In my quest to develop a comprehensive benchmark to measure progress toward AI replacing PMs, I teamed up with full-time prompt engineer (and past collaborator) Mike Taylor on a piece that will surely blow your mind. I’d love to hear your reactions in the comments.

在我努力开发一个全面的基准来衡量人工智能取代产品经理的进展的过程中,我与全职提示工程师(以及过去的合作者)Mike Taylor合作了一篇肯定会让你大吃一惊的文章。我很想听听你们的评论。

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The AI industry moves fast, which leads to lots of confusion about what AI is actually good at. OpenAI, Anthropic, and all the other AI companies are constantly testing their latest models’ math, language, and coding abilities. However, these abstract benchmarks don’t tell us how much of your job AI is able to potentially replace, now or in the near future—which is really what we care about. 

AI行业发展迅速,这导致人们对AI实际上擅长什么产生了很多困惑。OpenAI、Anthropic和其他所有AI公司都在不断测试他们最新模型的数学、语言和编码能力。然而,这些抽象的基准并不能告诉我们AI在多大程度上有可能在现在或不久的将来替代你的工作,而这才是我们真正关心的。 

To make matters more challenging, expert prompting is necessary to make responses from a model any good. As a result, most people underestimate how close ChatGPT a...

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