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UnknownThe current public UCLA research-computing workshop demonstrates NotebookLM but exposes no `Includes paid promotion` label, sponsored statement, referral code or tracked NotebookLM link. https://www.youtube.com/watch?v=horoEEDU0ZA8:06 · on_screen hook

“NotebookLM for Research: Data Visualization and Interpretation”

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A UCLA research-computing instructor compares manual RawGraphs work with NotebookLM's conversational analysis, then prompts the same movie dataset into a richer cited bubble visualization.

260views5likes↑1.2×vs their usual post · 224 views71creators ran this script

@UCLA Office of Advanced Research Computing (OARC) · 10.1K followers · 5 of 30 recent posts mention NotebookLM · creator page →

Playbook · Sources → usable output →
The script, step by step199 lines
The script199 lines · @UCLA Office of Advanced Research Computing (OARC)
  1. 0:00Hi, I'm Francesca Albrezzi and this is
  2. 0:03another video in the ORC series on
  3. 0:05Notebook LM for research.
196 more linesmembers read and copy every script on the site
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Where this post sitsthe repetition is the proof
Runs the playbook
Sources → usable output

Upload trusted source material, let NotebookLM extract structure, then carry its summary, study asset or production prompt into the next tool or task.

Workflow educators turning existing videos, PDFs or notes into the next piece of work · 71 creators · 77 posts

Capture context, then hand off the work
Open the full playbook →
260@UCLA Office of Advanced Research Computing (OARC)11.9K@Rebelvids1.3K@AI Demos277@Tech Tested

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Who made ittheir public relationship signal, and the receipt for it
@UCLA Office of Advanced Research Computing (OARC)youtube · 10.1K followers · median 224 views · n=60best post2601.2×views · for NotebookLMUnknown The current public UCLA research-computing workshop demonstrates NotebookLM but exposes no `Includes paid promotion` label, sponsored statement, referral code or tracked NotebookLM link. https://www.youtube.com/watch?v=horoEEDU0ZAOpen creator →

Views and likes are public counts at capture time. The multiple compares this post with the creator’s own recent median, not a claim about what caused its reach. Read the methodology →