Google’s NotebookLM can now find its own sources

The Verge - Apr 3rd, 2025

Google has introduced a new feature to its AI note-taking application, NotebookLM, which allows the tool to autonomously gather web sources for summarization and narration. Users can now utilize the 'Discover' button to describe the topic they're interested in, and NotebookLM will quickly search through hundreds of potential web sources, presenting up to ten recommendations with summaries for each. This feature, which began rolling out on Wednesday, is expected to be available to all users within a week. It enhances NotebookLM's capabilities by allowing users to import selected sources into various features like FAQs, Briefing Docs, and AI-hosted Audio Overviews.

This development marks a significant step in AI-driven research tools, making it easier for users to compile and reference materials. The Discover feature is powered by Google's Gemini AI and is the first in a series of planned enhancements aimed at improving access to relevant notebook reference materials. Additionally, the newly introduced 'I’m Feeling Curious' button offers users a chance to explore random topics, facilitating discovery and learning. This update not only streamlines the note-taking process but also positions NotebookLM as a more versatile tool in personal and academic research settings.

Google Gemini Ai Notebook Lm Ai Note Taking Discover Feature Web Sources Research Tools

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RATING

7.0

Fair Story

Consider it well-founded

The article provides a clear and timely overview of Google's new 'Discover' feature in NotebookLM, highlighting its potential benefits for users seeking efficient source discovery. It scores well in accuracy and clarity, presenting information in an accessible manner. However, the piece would benefit from greater balance, source diversity, and transparency. Including perspectives from independent experts or users, along with a deeper exploration of privacy and ethical considerations, would enhance its depth and engagement. Overall, it serves as a useful introduction to the feature but could be improved by addressing these areas.

Accuracy

The article accurately describes the new feature added to Google's NotebookLM, including the 'Discover' button that allows users to describe a topic to find relevant web sources. The rollout timeline, functionality, and integration with other features are consistent with Google's announcements. However, the article does not provide specific examples or evidence to support claims about the AI's effectiveness or the privacy assurances. The claim about the tool's ability to analyze hundreds of sources in seconds is plausible but would benefit from empirical validation or expert commentary.

Balance

The article maintains a neutral tone and provides a balanced overview of the new feature, focusing on its potential benefits. However, it lacks perspectives from users or experts who might offer critical insights or potential drawbacks. Including such viewpoints would enhance the balance by addressing possible limitations or challenges associated with the feature.

Clarity

The article is well-structured and easy to understand, with a logical flow from the introduction of the feature to its potential applications. The language is clear and concise, making the information accessible to a broad audience. However, the inclusion of technical jargon without further explanation might confuse readers unfamiliar with AI technology.

Source quality

The article primarily relies on Google's statements, which are credible given the company's authority on the subject. However, the reliance on a single source reduces the depth of the analysis. Incorporating insights from independent tech experts or user testimonials would improve the source quality by providing a more comprehensive view of the feature's impact and effectiveness.

Transparency

The article clearly states the source of its information, attributing it to Google. However, it lacks transparency in terms of methodology, such as how the AI selects and summarizes sources. The article would benefit from more detailed explanations of the underlying technology and any potential conflicts of interest, particularly regarding data privacy.