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NotebookLM Gains Gemini 3.5 and New Research Tools

James Thornton 16.06.2026

Building Knowledge Repositories from Conversations

Google updated NotebookLM on Monday. The research tool now uses Gemini 3.5 as its primary AI model. New „Antigravity” features boost research capabilities and output generation. This aims to improve how users explore and utilize information.

NotebookLM is designed to help researchers organize and understand complex topics. The update focuses on making the process more efficient and insightful. Google believes Gemini 3.5 will deliver better responses and a more natural interaction. The addition of Antigravity skills expands what the tool can accomplish.

The core of the update allows users to create a source repository directly from their chats with NotebookLM. Previously, users could only interact with existing documents. Now, the tool can learn from the conversation itself. This means insights gained during a dialogue can be saved and referenced later. It essentially transforms a chat session into a structured knowledge base.

Can This Tool Replace Traditional Research?

Antigravity software skills are key to this functionality. These skills enable NotebookLM to analyze chat content and identify key information. It then organizes this information into a usable format, building a repository of knowledge. This feature is intended for users who want to capture evolving understanding during research.

The integration of coding abilities, similar to those recently added to Google Search, further enhances NotebookLM’s capabilities. Users can now ask the tool to perform tasks requiring code, such as data analysis or visualization. This expands its utility beyond simply summarizing and explaining information. Google aims to provide a more versatile research assistant.

The shift to Gemini 3.5 is also significant. This newer model is known for its improved It should translate into more accurate and helpful responses within NotebookLM. Users can expect a more fluid and intuitive research experience.

The update positions NotebookLM as a more powerful tool for both individual researchers and teams. By combining conversational AI with knowledge repository building, Google hopes to streamline the research process. This could lead to faster discoveries and a deeper understanding of complex subjects. The long-term impact will depend on user adoption and continued development of the Antigravity skills.

Frequently Asked Questions

What is Antigravity in NotebookLM? Antigravity represents a set of software skills that enhance NotebookLM’s ability to analyze information and generate outputs. It’s the technology that powers the new repository-building feature and coding capabilities.

How does Gemini 3.5 improve NotebookLM? Gemini 3.5 offers better This results in more accurate responses and a more natural conversational experience for users of NotebookLM.

Is NotebookLM intended to replace traditional research methods? NotebookLM is designed to augment traditional research, not replace it. It provides tools to organize information and explore ideas more efficiently, but critical thinking and independent verification remain essential.

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