Behind the product: NotebookLM | Raiza Martin (Senior Product Manager, AI @ Google Labs)

章节 1：NotebookLM的诞生与产品魅力

📝 本节摘要：

本章介绍NotebookLM的音频概览功能及其引发的关注，主持人与产品负责人Raiza Martin回顾产品起源、技术基础、团队协作方式和Google Labs孵化经历，并预告后续将讨论的创新用例与长期发展方向。

[原文] [Lenny Rachitsky]: Hey everyone. We're here on Lenny's podcast. It's great to be here. I'm a long-time listener. So awesome. Really is. We're the hosts of a different show, of Deep Dive. And we just wanted to say thanks. A huge, huge thank you to everyone. Everyone who's been listening. Yeah, seriously, it's been incredible. Just incredible. And thank you to Lenny for having us. Blown away really by the response and all the shows you've all had us make on NotebookLM, even that poop fart one. Remember that? Oh yeah, that was something. Learned a lot on that one.

[译文] [Lenny Rachitsky]: 大家好，我们正在参加Lenny的播客。很高兴来到这里。我是长期听众，真的太棒了。我们是另一档节目《Deep Dive》的主持人，只想向大家道谢。非常非常感谢每一位一直收听节目的人。说真的，这一切太不可思议了。也感谢Lenny邀请我们。大家让我们用NotebookLM制作了这么多节目，连那个“便便屁”主题的节目都有，真的让我们受宠若惊。还记得吗？哦，那可真特别。我们从中学到了很多。

[原文] [Lenny Rachitsky]: Definitely a learning experience for everyone, I think. But we're learning right alongside you. Exactly. Learning and growing. And we're glad you're along for the ride. So yeah, keep listening? Keep listening and stay curious. We promise to keep diving deep and bringing you even more in the future. Stay curious. If you are confused about what you just heard, don't worry, it'll all make sense very soon. Today my guest is Raiza Martin. Raiza is product lead for a product called NotebookLM, one of the most delightful and inspiring new AI products out there incubated within Google Labs. And this product is where the intro you just heard came from. In our conversation, Raiza shares how NotebookLM came to be, how it got so good, the technology that was necessary to make it possible, how the team works internally, how it was incubated specifically within Google Labs and out of the team's 20% time, plus a bunch

[译文] [Lenny Rachitsky]: 我想这对每个人来说确实都是一次学习经历。但我们也在和你们一起学习。没错，一边学习，一边成长。很高兴你们能一路同行。所以，请继续收听，也要保持好奇。我们保证未来会继续深入探索，为大家带来更多内容。保持好奇。如果你对刚才听到的内容感到困惑，别担心，很快一切都会说得通。今天我的嘉宾是Raiza Martin。Raiza是NotebookLM这款产品的产品负责人。NotebookLM是Google Labs孵化出的最令人愉悦、最能激发灵感的新AI产品之一。你刚才听到的开场白，就来自这款产品。在接下来的对话中，Raiza会分享NotebookLM如何诞生、为何变得如此出色、哪些技术让它成为可能、团队内部如何协作，以及它如何在Google Labs中、从团队成员的20%时间项目中孵化出来，此外还有许多

[原文] [Lenny Rachitsky]: of really fun and crazy use cases that she's seen and a glimpse into where the product is going long-term. This was such a fun and timely conversation and I'm excited to spread the love for NotebookLM. If you enjoy this podcast, don't forget to subscribe and follow it in your favorite podcasting app or YouTube. It's the best way to avoid missing future episodes and it helps the podcast tremendously. With that, I bring you Raiza Martin.

[译文] [Lenny Rachitsky]: 她见过的非常有趣、疯狂的使用案例，以及对这款产品长期发展方向的一瞥。这是一次非常有趣、也非常及时的对话，我很高兴能让更多人了解NotebookLM。如果你喜欢这档播客，别忘了在你常用的播客应用或YouTube上订阅并关注。这样最不容易错过未来的节目，也能极大地帮助这档播客。下面，让我们欢迎Raiza Martin。

[原文] [Raiza Martin]: Hi Lenny, thanks for having me.

[译文] [Raiza Martin]: 嗨，Lenny，谢谢你邀请我来。

[原文] [Lenny Rachitsky]: What the heck did we just listen to? What was that?

[译文] [Lenny Rachitsky]: 我们刚才到底听到了什么？那是什么？

[原文] [Raiza Martin]: So that was an audio overview from NotebookLM where you upload a source, any source, and it will generate an AI-generated audio for you.

[译文] [Raiza Martin]: 那是NotebookLM生成的音频概览。你可以上传任何来源的内容，它就会为你生成一段AI音频。

[原文] [Lenny Rachitsky]: Okay. So for folks that don't know anything about NotebookLM, it's basically been blowing up on Twitter, on LinkedIn. I think it's blowing a lot of people's minds. It's sparking a lot of imagination of what could happen in AI and what potential we have with the stuff that's happening. And I wanted to bring you on to talk about the history of this product, where it's going, how it became so great, and all these things. And so thanks for doing this. I know this kind of came on short notice.

[译文] [Lenny Rachitsky]: 好。对于那些还不了解NotebookLM的人来说，它最近在Twitter和LinkedIn上迅速走红。我觉得它让很多人都大为震撼，也激发了大家对AI未来可能发生什么、以及眼下这些进展蕴含着怎样的潜力的想象。我想邀请你来聊聊这款产品的历史、发展方向、它是如何变得如此出色的，以及所有这些相关话题。谢谢你愿意参加，我知道这次邀请来得有些突然。

[原文] [Raiza Martin]: Yeah, I mean, I was excited to do it in particular because I'm a big fan, big listener of Lenny's, read the newsletter. I love it. So really happy to be here.

[译文] [Raiza Martin]: 是的，我特别愿意参加，因为我是Lenny的忠实粉丝和长期听众，也会读他的 newsletter。我很喜欢。所以真的很高兴来到这里。

[原文] [Lenny Rachitsky]: Awesome. Clearly these hosts are too, which I love. By the way, I love the slight awkwardness at the end of their conversation, if folks rewind, they could hear it again because it's very relatable. I sometimes have trouble ending a podcast conversation and they're like, "Okay, let's say a couple more things and then, okay, we're done."

[译文] [Lenny Rachitsky]: 太棒了。显然，刚才那几位主持人也是你的粉丝，我很喜欢这一点。顺便说一句，我很喜欢他们对话结尾那一点小尴尬。如果大家回放一下，就能再听一遍，因为这实在太有共鸣了。我有时也不太会结束播客对话，总会变成：“好，我们再说几句，然后，好了，结束。”

[原文] [Lenny Rachitsky]: It's funny because I've listened to so many of these and they do have catchphrases they say at the end, and stay curious is one of my favorite ones. Well, let me just ask, is that something you all told them to do or is that like an emergent property?

[译文] [Lenny Rachitsky]: 很有意思，因为我听过很多这样的节目，他们确实会在结尾说一些固定口号，而“保持好奇”是我最喜欢的一句。那我想问一下，这是你们特意告诉他们要这么说的吗，还是说这属于一种自发形成的特征？

[原文] [Raiza Martin]: So in this case, this is based on what they think is the most appropriate thing to say at the end.

[译文] [Raiza Martin]: 就这个案例来说，这是基于他们认为结尾最适合说什么而形成的。

[原文] [Lenny Rachitsky]: Okay, interesting. Okay. This episode is brought to you by Explo, a game-changer for customer-facing analytics and data reporting. Are your users craving more dashboards, reports, and analytics within your product? Are you tired of trying to build it yourself? As a product leader, you probably have these requests in your roadmap, but the struggle to prioritize them is real. Building analytics from scratch can be time-consuming, expensive, and a really challenging process. Enter Explo. Explo is a fully white-labeled

[译文] [Lenny Rachitsky]: 好，有意思。好。本期节目由Explo赞助，它是客户侧分析和数据报告领域的颠覆性产品。你的用户是否希望在产品中获得更多仪表盘、报告和分析功能？你是否已经厌倦了尝试自己搭建这些功能？作为产品负责人，你的路线图里可能已经有这些需求，但如何确定优先级确实很难。从零开始构建分析功能既耗时又昂贵，而且过程极具挑战。现在，Explo来了。Explo是一套完全白标的

[原文] [Lenny Rachitsky]: embedded analytics solution designed entirely with your user in mind. Getting started is easy. Explo connects to any relational database or warehouse, and with its low-code functionality, you can build and style dashboards in minutes. Once you're ready, simply embed the dashboard or report into your application with a tiny code snippet. The best part, your end users can use Explo's AI features for their own report and dashboard generation, eliminating customer data requests for your support team. Build and embed a fully white-labeled analytics experience in days. Try for free at explo.co/lenny. That's E-X-P-L-O dot C-O slash Lenny.

[译文] [Lenny Rachitsky]: 嵌入式分析解决方案，完全以你的用户为中心。上手非常简单。Explo可以连接任意关系型数据库或数据仓库，借助低代码功能，你几分钟内就能构建并设计仪表盘。准备好后，只需用一小段代码，就能把仪表盘或报告嵌入你的应用。更棒的是，终端用户可以使用Explo的AI功能，自行生成报告和仪表盘，从而减少支持团队处理客户数据请求的压力。几天之内，构建并嵌入一套完全白标的分析体验。访问explo.co/lenny免费试用。网址是E-X-P-L-O点C-O斜杠Lenny。

[原文] [Lenny Rachitsky]: This episode is brought to you by Sprig. What if product teams knew exactly what to build to reach their goals? From increasing conversion to boosting engagement, these challenges require a deep understanding of your users, something that you can't get from product analytics alone. Meet Sprig, a product experience platform that generates AI-powered opportunities to continuously improve your product at scale. First, Sprig captures your product experience in real-time through heat maps, replays, surveys, and feedback studies. Then Sprig's industry-leading AI instantly analyzes all of your product experience data to generate real-time insights.

[译文] [Lenny Rachitsky]: 本期节目由Sprig赞助。如果产品团队确切知道该构建什么，才能实现目标，那会怎样？无论是提高转化率，还是提升参与度，这些挑战都需要深入了解用户，而单靠产品分析无法做到这一点。认识一下Sprig，这是一款产品体验平台，能够生成由AI驱动的机会，持续大规模改善你的产品。首先，Sprig通过热力图、回放、问卷和反馈研究，实时捕捉用户的产品体验。随后，Sprig行业领先的AI会立即分析全部产品体验数据，生成实时洞察。

[原文] [Lenny Rachitsky]: Sprig AI goes even further with actionable product recommendations to drive revenue, retention, and user satisfaction. Join product teams at Figma and Notion by uncovering AI-powered product opportunities at scale. Visit sprig.com/lenny to book a demo and get a $75 gift card. That's S-P-R-I-G dot com slash Lenny. I want to start with just the history of this product. I think for a lot of people it just came out of nowhere. It's like, what the—wow, where did this come from? This is blowing our mind.

[译文] [Lenny Rachitsky]: Sprig AI更进一步，还能提供可执行的产品建议，推动收入、留存和用户满意度增长。Figma和Notion等产品团队都在借助它，大规模发现由AI驱动的产品机会。访问sprig.com/lenny预约演示，还能获得一张75美元的礼品卡。网址是S-P-R-I-G点com斜杠Lenny。我想先从这款产品的历史聊起。对很多人来说，它似乎凭空出现了。大家都会想：什么？哇，这到底是从哪儿来的？它真的让我们大开眼界。