Google rebrands NotebookLM as Gemini Notebook and opens its search app to third-party integration
Quick Answer
Google has rebranded NotebookLM as Gemini Notebook, enhancing its capabilities with cloud computing for AI Ultra and Workspace users.
Quick Take
Google has rebranded NotebookLM as Gemini Notebook, enhancing its capabilities with cloud computing for AI Ultra and Workspace users. The new system outperforms its predecessor in internal tests, achieving a 78.2% success rate for advanced web research. Additionally, Google Search now supports third-party app integration, allowing users to connect services like Instacart and Canva directly from Search.
Key Points
- Gemini Notebook serves 30 million users and 600,000 organizations.
- Each notebook now has a dedicated cloud computer for code execution.
- The new system wins over 65% of internal comparisons against its predecessor.
- Google Search integrates with apps like Instacart, Canva, and YouTube Music.
- More third-party app integrations are expected in the future.
📖 Reader Mode
~1 min readGoogle is renaming NotebookLM to Gemini Notebook and integrating the tool more deeply into its ecosystem. According to VP Josh Woodward, about 30 million people and 600,000 organizations use the tool. A new feature gives each notebook its own cloud computer that can write and run code, initially for AI Ultra and Workspace customers. In internal comparisons, the new system wins over 65 percent of the time against its predecessor, jumping to 78.2 percent for advanced web research. More users will get access over the coming weeks.
Separately, Google Search is getting app integration. Users can already connect apps to the Gemini app, and now that feature is coming to Search. Starting this week in the US, people can link apps like Instacart, Canva, and YouTube Music through AI Mode and use them directly from Search, whether that's adding ingredients to an Instacart cart, pulling up Canva templates, or building a playlist in YouTube Music.
More partners are expected to follow.
— Originally published at the-decoder.com
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from The Decoder
See more →
An AI model programmed nonstop for 19 days on a single MirrorCode task that cost $2,600 to run
Epoch AI's MirrorCode benchmark reveals Claude Opus 4.7 as the leader with a 56% solve rate, reconstructing a 16,000-line toolkit in 14 hours. Despite this, all models tested struggle with the most complex tasks, highlighting limitations in current AI capabilities. The single task consumed $2,600 over 19 days, raising questions about cost-effectiveness in AI development.
