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Google prepares Personalization and AI Editing for NotebookLM

Google is testing two new features for NotebookLM: Personal Intelligence, which gives the tool memory of past conversations, and AI Editing, which lets users edit notes via chat. The features follow an upgrade to Gemini 3.5 Flash and suggest Google is integrating NotebookLM into its broader personalization push.

read1 min views1 publishedJun 17, 2026

Google has been laying the groundwork beneath NotebookLM, and a fresh pair of options now surfacing inside the product hint at where the research tool heads next. Both follow this month's broader upgrade, which moved the chat to Gemini 3.5 Flash and wired in Antigravity-powered software skills alongside a per-notebook cloud computer that can run code, letting the assistant produce richer output and handle heavier work over your material.

The first, Personal Intelligence, would give NotebookLM a better memory. It would draw context from past conversations, retain it, and lean on it later, with controls to turn it off and inspect what has been stored. This version looks bound: it appears to learn only from activity inside NotebookLM rather than reaching across Gmail, Docs, or other Google surfaces, a deliberate limit suited to the privacy expectations of researchers and enterprise teams. It has appeared in testing before, at both the account level and per notebook, and its return suggests Google is edging it toward release.

The second, an AI Editing for notes, tightens the loop between chat and the noteboard. You would select text in a note, push it into the chat as context, and ask NotebookLM to rework it, closing a long-standing gap, since saved responses currently cannot be changed once created. For anyone moving between drafting and questioning, that would cut real friction.

No firm date is attached to either, though such hidden hints usually precede a rollout within weeks. The pairing fits Google's wider push of memory and personalization across Gemini and Search while folding NotebookLM into that ecosystem, turning a once-neutral reader of your documents into something that adapts to how you think and work.

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