How to Use NotebookLM Better than 99% of People

Prompt 1- Check for contradictions Looking only at the sources in this notebook, identify: 1) Any areas where the sources disagree with each other 2) Any clear contradictions or conflicting claims Prompt 2 - Identify Gaps Based on these sources, what important questions or subtopics about [TOPIC] are missing or barely covered List the biggest gaps that would need to be filled to really understand this topic well. Do not invent details; just describe what is missing. Prompt 3 - Find missing perspectives Are there any contrarian, alternative, or lesser-known viewpoints on [TOPIC] that are likely not represented in these sources? Describe those possible viewpoints at a high level and suggest what kinds of sources I would need to look for to find them.

I'd like to acknowledge this channel. Futurepedia is well articulated. Futurepedia delivers valuable content that seems to reference other sources rather than constantly interrupting the topic to promote self-serving agendas. Most of his videos are delivered rapidly, but they dont' seem to be a collection of broken phrases that are later spliced into sentences. The presenter speaks in conceptual flows. He knows what he's talking about. using a music analogy, this gentleman can play and embellish the song, not just recite a couple of bars. Good Work, K.

Still one of the most underused platforms in the consumer-friendly AI space. Thanks for continuing to bang the drum. 👍🏻

I use NotebookLM all the time to create our web pages about all the wild cat species, but never thought of invoking, "Create in the style of a comic book super hero origin story." I'm having fun creating these cartoons as a way of thanking our brave conservation partners.

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This was fantastic. i learned so much. Even though I was able to stay with the speed, I feel like I need to go back and rewatch, test and try it out. Thank you!!!

I was wondering what new ideas were lurking here, I've been using notebook for quite awhile. I am happy that it's a solid, slight more formal version of what I worked into through trial and error 😁. The biggest challenge I've encountered is getting too far into a projects notebook then realizing maybe a pillar of your hypothesis or research just isn't working out. Backing that data out of the notebook can be brutally time consuming. Especially when it's so-so data. So as a Step 0 that I'm sure most people already do, is ya gotta stress test the parts of your thesis first. As in everything, GIGO. But for notebook lm specifically, if you don't you'll likely just have to start over in a new project. Not the end of the world, just time consuming and deflating. Great vid man!

finally some good info on this topic 🙌

Excellent video, very useful, thank you!

best NotebookLM tutorial on the inter-web, very precise and well put together