Google rolled out the most substantial update yet for NotebookLM, its AI‑driven research notebook, by switching the service to the Gemini 3.5 model and embedding Antigravity capabilities. The move follows the debut of Gemini 3.5 Flash at the company’s I/O conference, where Google touted faster processing, lower token consumption and output quality on par with or better than earlier models. By bringing those gains to NotebookLM, Google hopes to make the tool more efficient and affordable for businesses and individual users alike.
NotebookLM, launched in early 2023, lets users upload documents, web pages and other data sources for analysis by Google’s large language models. The latest version expands the range of file types it can ingest and simplifies the way web sources are linked, reducing the steps required to start a research session. Google’s internal evaluations compared the new Gemini 3.5‑powered NotebookLM against the previous Gemini 3.1‑based version across five “core evaluation dimensions”: accuracy and quality, multilingual support, large‑document analysis, document creation, and advanced research. The upgraded service won 65 percent of the time, according to the company’s side‑by‑side tests.
Antigravity and the NotebookLM cloud computer
A standout addition is the NotebookLM “cloud computer,” which leverages Antigravity to write and execute code directly within a notebook. Users can now trigger more than 100 pre‑built software skills, automating tasks that previously required switching between separate applications. Whether drafting a report, cleaning a data set or generating visualizations, the new capabilities aim to keep the workflow contained inside NotebookLM, cutting friction and saving time.
Google positions the upgrade as a response to growing concerns over token costs. By moving projects to the Gemini 3.5 Flash architecture, companies can achieve comparable or higher quality outputs while spending fewer tokens. The company also highlights improvements in multilingual handling, making the tool more useful for global teams that need to process documents in multiple languages.
Early users report that the combination of a more powerful language model and the Antigravity‑driven execution environment delivers faster insights and more reliable code generation. The expanded file‑type support means that engineers can feed in code repositories, designers can analyze mockups, and analysts can ingest spreadsheets without converting them first. Google’s messaging suggests that the upgrade will be rolled out to all existing NotebookLM users today, with no disruption to existing notebooks.
Overall, the Gemini 3.5 upgrade marks a significant step in Google’s strategy to embed generative AI across its productivity suite. By enhancing both the model’s performance and the platform’s ability to act on that performance, NotebookLM aims to become a one‑stop shop for research, analysis and automation.
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