تغییر بزرگ گوگل: خداحافظ NotebookLM، سلام Gemini Notebook!

Overview

Google is renaming NotebookLM to Gemini Notebook (referred to as “Notebook Gemanai” in the subtitles). It’s being positioned as part of the broader Google ecosystem, rather than a standalone product. The video reviews what Google announced and explains how that impacts features and where the tool will appear.

Key changes and product direction

• Integration with Google services: Google plans to keep “Gemini Notebook” as an independent platform, but with deeper integration into:

  • Gemini app
  • Google Search (described as arriving in “AI mode”)

• User adoption claims: The video cites Google’s announcement that:

  • 30 million active users
  • 600,000 organizations using it for business, learning, research, and creating content from knowledge bases (videos, podcasts, audio, and data)

• Rollout timing / access:

  • Activated first for Gemini app
  • Activated in Google Search
  • Currently for Olera users (the word is uncertain due to subtitles)
  • In the coming weeks, it will also be enabled for Pro users

Feature: “Secure Cloud Computing” / deeper analysis

Google will provide each notebook with a security copy (a cloud-managed version of the notebook/knowledge base). The video explains that this enables deep analysis across notebook sources.

• Example depth: a notebook may contain 100–300 sources.
• Previous limitation (as stated): earlier reports could operate in summary mode, limiting how deeply analysis could go.
• With the new approach, notebooks can perform more complex, deep analysis on your data.

Example behavior in Google Search

Once Gemini Notebook is connected/activated, Google Search becomes notebook-aware. The video shows:

• A tool (+ menu) in Google Search to add/use LM Notebook / Gemini Notebook
• After activation, search can:
  • Be customized using the information in your notebook (instead of generic results)
  • Answer questions that depend on the notebook’s stored knowledge base

Example use case described: A business uses a notebook with its strategy/products and wants to find competitors and answer questions based on competitor performance. When prompted (e.g., “Go search for my competitors”), the system searches and answers more accurately by using the business notebook as context.

Possible additional workflow improvements (speculated)

The speaker outlines potential capabilities once the notebook is activated:

• Easier porting results across notebooks (transferring/using search outputs in other notebooks)
• Search outputs can be filtered and compared against notebook contents:
  • Some found resources may already exist in the notebook
  • Some may be missing and should be added
  • The output can indicate relationships between search results and notebook gaps/needs

Educational resources

The speaker mentions creating two playlists of training videos for:

• LM notebooks
• Gemini notebooks

Links are promised in the video description.

Main speakers/sources

• Source: Google’s official announcement/article (referenced in the subtitles)
• Speaker: The video author/host (a Persian-language creator) who explains and demonstrates the changes, including directing viewers to:
  • their Telegram admin ID
  • the playlist links