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Google’s NotebookLM Upgraded with Gemini 3.5 and Antigravity Support

Google's NotebookLM receives a significant update with Gemini 3.5 integration, enhancing its efficiency and capabilities with over 100 new software skills.

Google’s NotebookLM Upgraded with Gemini 3.5 and Antigravity Support
CoinSynaptic Desk
BITTENSOR · Correspondent
· PUBLISHED JUN 8, 2026 · 2 MIN READ

Google's NotebookLM has entered a new phase with its latest update, integrating the Gemini 3.5 model and support for Antigravity. This change marks a significant moment for the service, which has remained operational since its launch in 2023, unlike many other early projects in the generative AI space.

The Gemini 3.5 model debuted at the recent Google I/O event, showcasing faster and more efficient processing capabilities. Google states that businesses concerned about token usage costs may see substantial savings by switching to this model. The outputs produced by Gemini 3.5 are said to match or even exceed the quality of those from its predecessor, Gemini 3.1.

NotebookLM, which allows users to examine specific sources such as documents and web pages, has introduced a range of new features. It can now execute code and support research tasks through dedicated cloud computing resources powered by Antigravity. This functionality aims to improve workflows by reducing the need for users to switch between multiple applications. Google claims this update includes over 100 software skills that can enhance productivity and collaboration within the platform.

In comparisons between NotebookLM's previous version and the new 3.5 model, Google reports a 65 percent win rate across five core dimensions: Accuracy and Quality, Multilingual Support, Large Document Analysis, Document Creation, and Advanced Research. These metrics indicate that the enhancements offer real improvements in performance and utility.

As generative AI continues to evolve, Google's advancements with NotebookLM demonstrate a commitment to refining AI infrastructure and tools. The integration of high-performance models like Gemini 3.5 and innovative features such as Antigravity could position Google as a strong player in the AI token economy, particularly in sectors that require advanced document analysis and research capabilities. This is significant for businesses looking to leverage AI for operational efficiencies, as they can now access a more powerful tool that meets their growing demands for speed and quality in content generation and analysis.

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Looking ahead, the trajectory of NotebookLM is likely to influence the broader field of generative AI applications. As more users embrace the latest features, the platform's ability to integrate into existing workflows could redefine productivity standards across various industries. Google’s strategic investments in AI infrastructure may lead to further developments, ensuring that NotebookLM remains a competitive option in the rapidly changing market of generative AI tools.

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