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

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

Introduction to the Podcast

Hosts and Gratitude

  • The hosts express their excitement about being on Lenny's podcast, thanking listeners for their support.
  • They mention their own show, "Deep Dive," and reflect on the positive response from audiences regarding various episodes, including a humorous one.

Encouragement to Stay Curious

  • The hosts encourage listeners to keep listening and stay curious as they promise more engaging content in future episodes.
  • They introduce Raiza Martin, the product lead for NotebookLM, highlighting its innovative nature as an AI product developed within Google Labs.

Overview of NotebookLM

What is NotebookLM?

  • Raiza explains that NotebookLM allows users to upload any source material and generates AI-generated audio based on it. This feature has gained significant attention online.
  • The discussion emphasizes the imaginative potential of AI technologies like NotebookLM and how it has sparked interest across social media platforms.

Personal Connection

  • Raiza shares her enthusiasm for being part of the podcast due to her admiration for Lenny's work and his newsletter. She appreciates the relatable awkwardness often found at the end of podcast conversations.

Sponsorship Messages

Explo: Analytics Solution

  • The episode features a sponsorship message for Explo, which offers embedded analytics solutions designed with user needs in mind, allowing easy dashboard creation without extensive coding knowledge.

Sprig: Product Experience Platform

  • Another sponsorship highlights Sprig, a platform that provides real-time insights into product experiences through various data collection methods like heat maps and surveys, aimed at improving user engagement and satisfaction.

History of NotebookLM

Development Background

AI Test Kitchen and Project Tailwind Development

Initial Team Structure and Project Genesis

  • The speaker reflects on leading AI Test Kitchen, one of Google's early AI initiatives, launched around 2022.
  • Initially, the project involved just the speaker, an engineer, and later Steven Johnson; highlighting a small team dynamic.
  • The project began as a 20% initiative but quickly expanded due to its potential and interest from others.
  • At launch, the team consisted of only three engineers; growth has been gradual with recent expansions in anticipation of future developments.

Introduction of Audio Overviews

  • Discussion shifts to "Audio Overview," also referred to as "Deep Dive," which was previewed at I/O in May this year.
  • Notebook had already been launched prior to this feature; it serves as a source-grounded chat interface for users.
  • The introduction stemmed from exploring new models like Gemini 1.5 and leveraging powerful audio models developed by another Google Labs team.

Problem-Solving Approach in Product Development

  • The speaker emphasizes starting product development from identifying problems rather than solely focusing on technology.
  • They advocate for having hypotheses about practical applications to maximize learning outcomes during development phases.

User Interaction and Voice Modality

  • Acknowledges that while text output is standard, voice interaction can significantly enhance user experience and engagement with technology.
  • The aim was to introduce fun elements into the technology while ensuring users derive value easily.

Comparison with ChatGPT's Impact

  • The speaker draws parallels between their work and the transformative moment seen with ChatGPT, where existing technology found new life through innovative interaction methods.

Exploring the Future of Podcasting with AI

The Evolution of Technology in Podcasting

  • The speaker discusses the iterative process of refining podcast technology to make it more relatable and engaging for listeners, emphasizing the goal of achieving a clear understanding from the audience.
  • Despite being relatively new, advancements in chatbots and large language models (LLMs) have opened up numerous innovative applications within just two years.
  • Two main questions arise regarding the technology enabling this evolution: what foundational technologies were necessary, and how was the model trained to produce high-quality podcasts?

Key Technologies Behind NotebookLM

  • The Gemini 1.5 Pro model serves as a foundation for NotebookLM, enhanced by powerful voice and audio models that contribute to its effectiveness.
  • A unique aspect is the "Content Studio," designed to provide tailored content summaries and interactive features that enhance user engagement with audio formats.
  • Usama, an engineer on their team, plays a crucial role in developing Content Studio by focusing on creating relatable and engaging content.

Understanding Content Studio

  • Content Studio allows users various interaction methods with their data, including Q&A functionalities and options to generate new content at the push of a button.
  • The conversation shifts towards how hosts interact in podcasts—incorporating laughter, interruptions, and emotional inflections—which enhances listener experience.

Enhancing Audio Quality

  • The quality of audio output relies heavily on both the underlying model and how well Content Studio optimizes it; early attempts required significant refinement based on feedback.
  • Personal anecdotes reveal humorous moments during testing phases where family members could not distinguish AI-generated content from real podcasts.

Creative Use Cases for AI Podcasts

  • Users have creatively utilized NotebookLM to transform personal autobiographies into engaging podcasts, showcasing its versatility in generating meaningful content.
  • Feedback from users highlights positive reactions; one user's mother was thrilled by her autobiography's transformation into a podcast format shared among friends.

Exploring Google Labs and the Startup Mindset

The Excitement of Innovation

  • Discussion on how hosts express excitement about their work, particularly in relation to resumes being uploaded and positively described.
  • The unique experience of generating a resume with unexpected outcomes, highlighting the thrill of innovation.

Operating Like a Startup Within Google

  • Observations on the startup-like operations within Google Labs, including daily updates via social media and community engagement through Discord.
  • Inquiry into how this model operates within Google and whether it could influence other teams' operations.

The Birth of Google Labs

  • Introduction to Google Labs as a relatively new initiative (three years old), emphasizing its fresh approach to product development.
  • Personal anecdote about joining the team due to admiration for a former boss, leading to an exploration of AI-focused projects.

Embracing a Different Work Culture

  • Transition from traditional roles in payments and ads to embracing innovative practices in AI product development.
  • Description of the fast-paced environment at Google Labs, characterized by fewer processes and collaborative meetings among product managers, engineers, and designers.

Key Lessons from Successful Team Dynamics

  • Insights into creating effective teams that operate outside conventional structures; emphasis on clear expectations set by leadership.
  • Importance of having a small team size for agility and experimentation in developing new ideas without bureaucratic constraints.

Building Community Through New Platforms

  • Initiative to create a Discord server for community engagement; initial skepticism met with eventual success as membership grew significantly.
  • Reflection on overcoming fears regarding community participation; now boasts 60,000 members engaging around shared interests.

The Value of Peer Networks

Sidebar: A Catalyst for Career Growth

Overview of Sidebar's Impact

  • Sidebar provides diverse perspectives and raw feedback through world-class programming, enhancing career growth.
  • 93% of members report significant positive changes in their careers after using Sidebar, indicating its effectiveness.

Community Engagement and Growth Metrics

  • The Discord server has grown to 60,000 members, showcasing strong community engagement.
  • Retention rates have improved significantly across daily, weekly, and monthly measures since the product launch a year ago.
  • The user demographic has expanded beyond educators and learners to include a substantial number of professionals seeking to utilize the tool at work.

Business Development Insights

  • Notable interest from companies where employees are using the tool unofficially; some companies are formalizing its use within their organizations.
  • Rapid growth in business usage necessitates hiring a business development person due to increased customer interactions.

Future Vision and Product Roadmap

Defining Success for the Team

  • Initial goals focused on building interesting products; now there's a clear path toward monetization with enterprise features like single sign-on.
  • Emphasis on leveraging existing Google infrastructure for distribution and commercialization while enhancing user experience.

Long-term Product Aspirations

  • Future vision includes an AI editor capable of remixing various inputs (video, audio, emails), allowing users to create new content easily.
  • Plans to improve mobile app experience as it is currently seen as a gap in product development.

Enhancements and User Experience Considerations

Experimentation with Formats

  • Ongoing experiments with different formats aim to enhance user interaction during demos; focus on understanding user needs when interruptions occur.

User Interface Improvements

How to Create a More Magical and Delightful Experience?

Exploring the Concept of Customizable Content Delivery

  • The discussion revolves around enhancing user experience by allowing deeper engagement with content, suggesting that current formats are too rigid.
  • The speaker expresses excitement about the idea of customizable content delivery, noting that different people prefer different mediums (audio, video, text).
  • Acknowledges the need for flexibility in how information is consumed; some users may prefer reading over listening or watching.
  • Emphasizes the importance of user choice in content format, which can shift dynamics between knowledge providers and consumers.
  • Shares a personal anecdote about avoiding lengthy documents in favor of direct Q&A interactions.

Use Cases for Flexible Content Formats

  • Discusses common use cases for transforming dense academic papers into more accessible audio formats to cater to busy individuals.
  • Highlights students' needs as a primary audience wanting audio guides from their study materials due to time constraints.
  • Mentions Andrej Karpathy's podcast series based on historical mysteries as an innovative example of repurposing existing content into engaging formats.
  • Reflects on how simple topics (like potatoes) can be transformed into entertaining podcasts, showcasing creativity in content delivery.
  • Introduces humorous examples like a podcast focused on "poop and fart," illustrating how even trivial subjects can engage audiences through insightful analysis.

Engaging with Bizarre Content

  • Describes a personal experience with unconventional podcasts that evoke laughter and delight through unexpected themes and analyses.
  • Notes the effectiveness of humor and absurdity in engaging listeners, making even mundane topics interesting through creative storytelling.
  • Highlights an analogy drawn from bizarre content that encourages embracing silliness while exploring deeper meanings within seemingly trivial discussions.

Discussion on Team Dynamics and Collaboration

The Role of Steven Johnson in the Team

  • The document humorously mentions a research paper that has more references to chicken than KFC, highlighting the light-hearted nature of the discussion.
  • The speaker introduces Steven Johnson as a peer and discusses his role within the team, emphasizing curiosity and respect for his contributions.
  • The speaker expresses initial uncertainty about how Steven would fit into their work but acknowledges his impressive background and ideas.
  • Observing Steven's approach to language and information inspires the speaker to develop methods for simplifying complex information for broader audiences.
  • The speaker aims to learn from Steven’s expertise in research to create tools that help others process information effectively.

Insights Gained from Collaboration

  • The speaker views Steven as a central figure in their project, intending to follow his workflow closely to integrate technology with effective knowledge sharing.
  • A humorous contrast is drawn between Steven's organized method (using Readwise with thousands of quotes) and the speaker's more casual note-taking style.
  • The partnership fosters an environment where creative ideas can be exchanged freely, enhancing product development through collaborative brainstorming.

Lessons on User Engagement

  • Reflecting on how teams can benefit from having insightful members like Steven, the discussion shifts towards understanding user needs through direct engagement.
  • Emphasizing regular interaction with users or students provides valuable insights that inform product design and functionality.
  • Observing users' study habits leads to deeper understanding of their experiences, which is crucial for developing relevant products.

Overview of Steven Johnson

  • A brief biography highlights that Steven Johnson is a New York Times bestselling author who has written 14 books and hosts a PBS show focused on innovative ideas.
  • His article on AI mastering language was influential in motivating the speaker's decision to join Labs, showcasing his impact even before joining the team.

Collaboration and Disagreement in Product Development

The Dynamics of Working Together

  • The speaker acknowledges that despite disagreements with Steven, they appreciate the opportunity to work together and grow from their differences.
  • They highlight Steven's humility and down-to-earth nature, noting that even after clashes, they manage to align on next steps, which is crucial for product management.
  • Emphasizes the importance of reaching a consensus at the end of discussions to ensure productive outcomes.

Addressing Concerns About AI Technology

  • A humorous moment arises when hosts express fear about AI capabilities, prompting a discussion on how to responsibly "red team" AI technologies.
  • The speaker reflects on a pivotal moment where public reaction to AI technology raised questions about safety and ethical implications.

Navigating Public Perception

  • After hearing reactions online, the speaker considers whether to address concerns publicly and ultimately decides transparency is key in understanding user experiences with new technology.
  • They recognize human curiosity as a natural response to new tech but stress the need for responsible usage guidelines.

Safety Measures in AI Development

  • Discusses Google's commitment to red teaming efforts, emphasizing extensive testing across various scenarios to ensure safety before deployment.
  • If any aspect feels unsafe during testing phases, there are protocols in place for reevaluation or pulling back features.

Future Directions for NotebookLM

User-Centric Development Approach

  • The speaker shares excitement about potential future developments like mobile apps and enhanced user controls based on feedback from users.
  • Encourages ongoing user engagement by inviting feedback through platforms like Discord or X (formerly Twitter), highlighting their dedication to improving the product based on real-world use cases.

Target Audience Insights

Building an Amazing Product

Excitement for the Product

  • The speaker expresses enthusiasm about a product, highlighting its delightful nature and its status as one of the most interesting things on the internet today.
  • Acknowledges the high standards set by the product and commends the team for achieving them.
  • The speaker shares personal experiences using the product in their newsletter, indicating practical applications and enjoyment derived from it.
  • Encourages continued development and innovation, expressing eagerness to see future progress.
  • Concludes with gratitude towards Lenny for hosting and emphasizes the importance of curiosity in ongoing engagement with the product.

Closing Remarks

  • The guest thanks Lenny for his interest and encourages listeners to stay curious about new developments.
Video description

Raiza Martin is a senior product manager for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a delightful podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. In our conversation, we discuss: • The origin story of NotebookLM • The future road map for NotebookLM • How Google Labs operates differently from the rest of Google • The development of the “Audio Overviews” feature • Key metrics and growth of NotebookLM • Stories about collaborating with author Steven Johnson • Navigating potential misuse of AI technology — Brought to you by: • Explo — Embed customer-facing analytics in your product: https://explo.co/lenny • Sprig⁠⁠ — Build products for people, not data points: https://sprig.com/getstarted?utm_source=lenny&utm_medium=podcast • Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: https://www.sidebar.com/lenny?utm_source=lennys&utm_medium=newsletter&utm_campaign=waitlist&utm_content=3 Find the transcript at: https://www.lennysnewsletter.com/p/googles-notebooklm-raiza-martin Where to find Raiza Martin: • X: https://x.com/raiza_abubakar • LinkedIn: https://www.linkedin.com/in/whatsaraiza/ Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ In this episode, we cover: (00:00) Introduction to NotebookLM (05:43) The genesis of NotebookLM (08:08) Innovative features and use cases (18:52) Building a startup culture within Google (24:28) Expanding user demographics (27:30) The product roadmap (32:18) Other use cases (36:11) Collaborating with Steven Johnson (42:49) Ensuring ethical AI (46:06) Future directions and user engagement Referenced: • NotebookLM: https://notebooklm.google/ • AI Test Kitchen: https://aitestkitchen.withgoogle.com/ • Steven Johnson on X: https://x.com/stevenbjohnson • Gemini Pro: https://deepmind.google/technologies/gemini/pro/ • Usama Bin Shafqat on LinkedIn: https://www.linkedin.com/in/ushafqat/ • NotebookLM’s Discord server: https://discord.com/invite/Az2N7BwV7r?sjid=10560123093044576704-NA • Josh Woodward on LinkedIn: https://www.linkedin.com/in/joshwoodward/ • Andrej Karpathy’s website: https://karpathy.ai/ • Histories of Mysteries on Spotify: https://open.spotify.com/show/3K4LRyMCP44kBbiOziwJjb • NotebookLM — Analyzing Poop & Fart written 1,000 times — Creating meaning from the meaningless: https://www.youtube.com/watch?v=ftg7UC3CGjc • Reddit thread about the fake chicken.pdf: https://www.reddit.com/r/notebooklm/comments/1fwz5eh/the_google_podcast_duo_get_almost_9_minutes_out/ • Steven Johnson’s tweet about his 8K quotes: https://x.com/stevenbjohnson/status/1840844268065456456 • Readwise: https://readwise.io/ • How We Got to Now: https://www.pbs.org/show/how-we-got-now/ • “A.I. Is Mastering Language. Should We Trust What It Says?”: https://www.nytimes.com/2022/04/15/magazine/ai-language.html • AI Podcast Hosts Discover They’re AI, Not Human — NotebookLM: https://www.youtube.com/watch?v=AR4dRtzFvxM 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.