Google’s AI Research Assistant, NotebookLM, Goes Global with New Features


Google’s AI-powered research and writing assistant, NotebookLM, is receiving a major upgrade and expanding its reach to over 200 countries and territories worldwide.

Originally launched last summer, NotebookLM helps users delve into complex topics, identify connections within information, and expedite the writing process.

“We’re thrilled to announce a significant upgrade to NotebookLM,” reads a press release issued by Google on Thursday. “Powered by the latest Gemini 1.5 Pro technology, the enhanced NotebookLM is now available in over 200 countries and territories.”

The core functionality of NotebookLM remains the same. Users can upload various sources, including research notes, interview transcripts, and corporate documents. NotebookLM then leverages its AI capabilities to become an “expert” on the uploaded material, assisting users in understanding the content and generating insights.

This global expansion signifies Google’s commitment to making AI-powered research tools accessible to a wider audience. With NotebookLM’s enhanced capabilities, researchers, students, and writers around the world can benefit from its assistance in tackling complex projects and streamlining their workflows.

Today’s upgrade introduces several new features:

  • NotebookLM now supports Google Slides and web URLs as sources, along with Google Docs, PDFs and text files.
  • Inline citations now take you directly to supporting passages in your sources, so you can easily fact-check the AI response or dive deeper in the original text.
  • Notebook guide gives you a high-level understanding of your sources by converting them into useful formats like FAQs, Briefing Docs or Study Guides.

Thanks to Gemini 1.5 Pro’s native multimodal capabilities, you can now ask questions about images, charts and diagrams in your sources. NotebookLM will even include citations to images as supporting evidence when relevant.

Case studies from real users

We’ve been amazed by the range of uses that people are finding for NotebookLM. Because the product was developed in close partnership with authors, students and educators, we’ve seen many early adopters integrate it into research and writing workflows. Best-selling author Walter Isaacson has been working with NotebookLM to analyze Marie Curie’s journals for research on his next book.

We’ve seen similar enthusiasm from documentary and podcast researchers who need to sift through complex archives to generate scripts or story ideas. But the combination of Gemini 1.5 Pro’s advanced reasoning abilities and NotebookLM’s source-grounding architecture has unlocked many other potential applications:

  • In local governance, Palm Bay resident Thomas Gaume created a hyperlocal newsletter, aggregating city ordinances, land use data, zoning codes and council meeting minutes. NotebookLM empowered him to be a “one-person newsroom and publisher.”
  • NotebookLM’s ability to summarize and adapt interview transcripts is helping users identify patterns and themes in raw transcripts, saving hours of manual analysis. For example, consultant Victor Adefuye uses NotebookLM to analyze sales call transcripts for targeted training and coaching.
  • Nonprofits have deployed NotebookLM to help them identify needs in underserved communities and organize information for grant proposals.

We’ve also noticed some unexpected and playful use cases with the help of our 14,000 member Discord community, including novelists and fan-fiction authors managing complex storylines using NotebookLM, and our favorite: role-playing game enthusiasts consulting detailed descriptions of fantasy worlds for games like Dungeons and Dragons.

Getting started

If you’re new to NotebookLM, getting started is easy: When you first access NotebookLM, you’ll create a notebook and upload documents for a specific project or deliverable. At that point you can read, take notes, ask questions, organize your ideas, or ask NotebookLM to create automatic overviews of all your sources — a study guide, for example, or a table of contents. And with NotebookLM, the sources you upload are not used to train the model.

Whether it’s being used to build imaginary worlds, write bestselling biographies, or help salespeople find new customers, NotebookLM has given U.S. users powerful tools for making connections and generating insights out of large collections of documents. We can’t wait to see what the rest of the world does with it.

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