NotebookLM could get even better with this Gemini feature

Source: Android Authority

TL;DR

• Google may add Personal Intelligence to NotebookLM.
• Based on the current description, it would allow sharing context across different chats.
• However, unlike Gemini, NotebookLM may not access context from different Google apps.

Background

Gemini earned a big upgrade last month when Google rolled out Personal Intelligence in the chatbot (link), allowing the chatbot to access context from other Google apps and refine responses. That shift toward a more personalized and aware AI chatbot suggests Google could bring the feature to other Gemini‑powered apps and platforms, including NotebookLM.

Testing Discovery

Google now appears to be testing Personal Intelligence in the celebrated learning and research app. TestingCatalog recently discovered this option being tested and gave a preview of what it facilitates.

Expected Behavior in NotebookLM

Based on the screenshots and description, NotebookLM’s version of Personal Intelligence will differ from Gemini’s implementation. While Gemini can draw knowledge from activity across multiple Google apps, NotebookLM might limit itself to sharing knowledge across different notebooks within the app. In addition to information, it could also extract “your goals” to serve you better.

Possible Features

• Persona settings – a set of guidelines or instructions based on your profession or study objectives to improve responses.
• Goal configuration – you may be able to set goals per notebook as well as for the entire notebook collection.

Limitations

There’s no mention yet of accessing information from other Google apps. Consequently, Personal Intelligence in NotebookLM may function more like chat memory in Gemini chats, which has recently expanded to Search (link). Whether Google will enable broader access remains to be seen. The converse could become possible if Gemini gains the ability to access NotebookLM chats, a scenario suggested in the recent past.

Outlook

There’s currently no timeline for when the feature might be available to a wider audience.