This is the most horribly written prose I have ever read. Because the topic is so compelling, I tried to ignore one red flag after another until I stumbled onto this stinker: "How Chinese labs are building models like Qwen and DeepSeek-R1-Lite are only going to continue in 2025." Can that even be considered an English sentence? What is the subject of the second "are"???
Perhaps the authors (two people created this mess!) are too lazy or cheap to get a Grammarly subscription. Well, all I do know is that I am too busy to read their AI slop.
I just love NotebookLM, there are so many ways you can play with it and extract insights.
Just last night, I ran a little experiment: I loaded all my Substack posts and a PDF of all the comments I’ve received, then asked it questions to understand what topics spark the most engagement, what themes keep coming up, and where readers want more depth.
I got great insights about my readers & a lot of fresh ideas for future posts
Great info. I'd like to use NLM in my work, but can't give it or provide access to sensitive company information. Any suggestions on how to utilize this tool interally? We have access to GCP. Maybe develop a similar workflow within this environment?
In the spirit of sharing new ideas on how this can be used... I have been posting the output of deep research queries from chatGPT into NotebookLM as a source to absorb the complexity that comes out of deep research questions in an interesting way. One ? was on the state of the art for using random forests in diagnosing diseases where I can ask for the most successful applications and ask for new ideas on how to make the outcomes even better. Interesting.
I had made a mobile app to do this for YouTube to help me get summaries and the next step is synthesize things. I was building for myself but hoped to monetize my time.
Seems like even niche opportunities are going to be overtaken by big tech in the space.
That's great to hear Zach, check out Deep Research too. Deep Research for me has a fairly high ceiling for 2025. i.e. AI Agents that do research for us developing us reports. I'm interesting in how people are using Deep Research, Learn About and NotebookLM together + of course Perplexity.
Currently I’m using Perplexity - pro search has been really powerful in driving my research. Will try out Deep Research sometime soon (too many subscriptions atm.)
NLM really was my fav 2024 tool, it takes more time to get used to it, but the results are impressive. I launched also one of my podcast episodes, to ask the community which are their feelings when they know it is AI generates? Here the link, open to feedback.
Aren’t you feeding this tool with information the same way you feed ChatGPT every time you use it? I read that people use it by inputting business documents etc…but isn’t it dangerous to feed it with confidential information for example? Even if it helps you be more productive/efficient professionally.
The whole concept is really out of this world…thanks for everything you do👏
I love this app
This is the most horribly written prose I have ever read. Because the topic is so compelling, I tried to ignore one red flag after another until I stumbled onto this stinker: "How Chinese labs are building models like Qwen and DeepSeek-R1-Lite are only going to continue in 2025." Can that even be considered an English sentence? What is the subject of the second "are"???
Perhaps the authors (two people created this mess!) are too lazy or cheap to get a Grammarly subscription. Well, all I do know is that I am too busy to read their AI slop.
I just love NotebookLM, there are so many ways you can play with it and extract insights.
Just last night, I ran a little experiment: I loaded all my Substack posts and a PDF of all the comments I’ve received, then asked it questions to understand what topics spark the most engagement, what themes keep coming up, and where readers want more depth.
I got great insights about my readers & a lot of fresh ideas for future posts
Documented it all here: https://substack.com/@dariacupareanu/note/c-119991656
Amazing use case!
How to create mind maps with NotebookLM: https://aidisruptor.ai/p/how-to-create-mind-maps-with-notebooklm
Great info. I'd like to use NLM in my work, but can't give it or provide access to sensitive company information. Any suggestions on how to utilize this tool interally? We have access to GCP. Maybe develop a similar workflow within this environment?
Really good quality post for newbie here!
In the spirit of sharing new ideas on how this can be used... I have been posting the output of deep research queries from chatGPT into NotebookLM as a source to absorb the complexity that comes out of deep research questions in an interesting way. One ? was on the state of the art for using random forests in diagnosing diseases where I can ask for the most successful applications and ask for new ideas on how to make the outcomes even better. Interesting.
This is a super duper article. Really enjoyed it. Thanks for all the info!!!
Nice one thanks Michael
Write what your soul is speaking and whoever has the same frequency will respond back. The Law of reciprocity.
Share your tips on how you use it
I had made a mobile app to do this for YouTube to help me get summaries and the next step is synthesize things. I was building for myself but hoped to monetize my time.
Seems like even niche opportunities are going to be overtaken by big tech in the space.
Thank you! Very great and useful starting point to get NotebookLM in own proper workflow.
Thank you. This made me jump into NotebookLM right away
That's great to hear Zach, check out Deep Research too. Deep Research for me has a fairly high ceiling for 2025. i.e. AI Agents that do research for us developing us reports. I'm interesting in how people are using Deep Research, Learn About and NotebookLM together + of course Perplexity.
Currently I’m using Perplexity - pro search has been really powerful in driving my research. Will try out Deep Research sometime soon (too many subscriptions atm.)
NLM really was my fav 2024 tool, it takes more time to get used to it, but the results are impressive. I launched also one of my podcast episodes, to ask the community which are their feelings when they know it is AI generates? Here the link, open to feedback.
https://open.spotify.com/episode/0ov7UrpAjvDyjwnvMA59lJ?si=AOQZGndXTKye1oPl3OvU1g&t=165
Aren’t you feeding this tool with information the same way you feed ChatGPT every time you use it? I read that people use it by inputting business documents etc…but isn’t it dangerous to feed it with confidential information for example? Even if it helps you be more productive/efficient professionally.
The whole concept is really out of this world…thanks for everything you do👏