The video introduces and provides an in-depth tutorial on NotebookLM, an AI-powered personal knowledge assistant developed by Google. NotebookLM allows users to upload various types of sources such as PDFs, audio files, and YouTube videos into a "notebook" to create a specialized, confidential AI database. This AI assists in generating reports, briefs, FAQs, and even AI podcasts, relying solely on the sources provided by the user, hence maintaining privacy and confidentiality.

This tool is particularly valuable for knowledge workers, educators, creators, and students who deal with vast amounts of information. NotebookLM's ability to process and summarize different sources enables it to function as an efficient knowledge management system that helps curb information overload. Users can leverage its capabilities to augment their personal knowledge systems, develop content, and generate creative ideas without compromising privacy.

Main takeaways from the video:

Please remember to turn on the CC button to view the subtitles.

Key Vocabularies and Common Phrases:

1. overwhelmed [ˌoʊvərˈwɛlmd] - (verb) - To feel a strong emotion or level of stress due to having too many things to deal with. - Synonyms: (overburdened, inundated, overpowered)

NotebookLM provides a way to break down complex information across many sources, helping you to move through massive amounts of information without getting overwhelmed.

2. confidentiality [ˌkɑːnˌfɪːdienˈtælɪti] - (noun) - The state of keeping information secret or private. - Synonyms: (privacy, secrecy, discretion)

You don't have to worry about confidentiality of giving up your information to an artificial intelligence model for training.

3. augment [ɔːɡˈmɛnt] - (verb) - To make something greater by adding to it; increase. - Synonyms: (enhance, supplement, amplify)

AI could really supercharge our knowledge management, augmenting your personal knowledge management system.

4. micro ai [ˈmaɪkroʊ ˌeɪˈaɪ] - (noun) - A smaller, focused artificial intelligence system developed for specific tasks or datasets. - Synonyms: (sub-AI, localized AI, specialized AI)

A sort of micro ai that will answer questions based only on the sources included.

5. obsidian [əbˈsɪdiən] - (noun) - A note-taking software application that allows users to create markdown files. - Synonyms: (software tool, application, program)

It's like a whole other level of possibility, but it's exciting to imagine how AI could really supercharge our knowledge management with Notebook LM talking about the potential of AI and obsidian.

6. transcribe [trænˈskraɪb] - (verb) - To write or print out a copy of something spoken. - Synonyms: (record, write, document)

NotebookLM will transcribe the entire YouTube video so that you can do text-based searching through it.

7. ecosystem [ˈikoʊˌsɪstəm] - (noun) - A system formed by the interaction of a community of organisms with their physical environment. - Synonyms: (system, network, habitat)

It's a closed ecosystem that really helps you limit the information you include to help reduce that feeling of information overload.

8. synthesize [ˈsɪnθəˌsaɪz] - (verb) - To combine a number of different parts or ideas to come up with a new whole. - Synonyms: (integrate, combine, amalgamate)

Generate a podcast that synthesizes all of the books together.

9. hallucinate [həˈluːsɪˌneɪt] - (verb) - To see, hear, or sense things that aren't really there, often related to errors in AI language models. - Synonyms: (imagine, envision, perceive)

Whereas ChatGPT can hallucinate and make up information, NotebookLM can use real-time information.

10. repurpose [ˌriˈpɜːrpəs] - (verb) - To use something for another purpose than the one originally intended. - Synonyms: (reuse, adapt, convert)

This is a great way to repurpose your existing content.

How To Use NotebookLM 📝 Next Level Notetaking + AI Knowledge Assistant

Hello, my name is Calum, also known as Wanderlutz, and welcome to this tutorial on NotebookLM, your personal knowledge assistant. NotebookLM is AI software by Google that allows you to select specific sources that the AI can use to answer your questions. PDFs, audio files, YouTube videos, websites, sources of all kinds can be added as a notebook, a sort of microai that will answer questions based only on the sources included.

NotebookLM provides a way to break down complex information across many sources, helping you to move through massive amounts of information without getting overwhelmed. The best part? It's both free and private. NotebookLM Google does not use your data, your conversation or your sources for training their AI models. This opens the door to using AI in entirely different ways, including for business because you don't have to worry about confidentiality of giving up your information to an artificial intelligence model for training.

You can also ask the AI to generate reports, briefs, FAQs and even a conversation as a podcast format between two different AIs that talk about the sources you've included and the conversation that you've had. With Notebook LM talking about the potential of AI and obsidian. It's like a whole other level of possibility, but it's exciting to imagine how AI could really supercharge our knowledge management. It's honestly pretty mind blowing.

In this video I'm going to walk through an overview of Notebook LM including general use cases. How to create your first notebook how to work with sources including YouTube videos, audio files and markdown files from obsidian. How to leverage citations in Notebook LM the Chat feature, including very important information on how to save your conversations. The Notebook Guide Automated features that help you work with your information the Notebook library Audio examples including meetings, voice notes and recording of lectures.

How to generate an AI podcast along with customizing it, which is a new feature how to generate new writing and video ideas and I'll also include additional example use cases and tips on how to maximize NotebookLM for your own work. There are a lot of benefits of using NotebookLM that I'll touch on in this video. Each source that you add to NotebookLM levels up your ability to gain insights and draw knowledge and sort through the information from the sources that you've included. By virtue of the conversation that you're having with the AI, you can think of it almost like you're creating a short term memory with the artificial intelligence based specifically on the sources that you've included.

It's a closed ecosystem that really helps you limit the information you include to help reduce that feeling of information overload I think that NotebookLM is going to be a game changer for anyone that works with a lot of information. Knowledge workers, most people that work in corporations, creators, writers, educators, students, list is literally endless. Anyone can benefit from using NotebookLM. The goal is not to have AI replace you, but to create a system where you feel comfortable working with AI to filter through the information that you consume on a regular basis to help reduce information overload while augmenting your personal knowledge management system.

Okay, now that I've explained a little bit about what NotebookLM is, who should use it, and why you should care about it, I thought we would take a look at the website. So, I mean, right off the bat, think smarter, not harder. I love that mentality. Working harder instead of smarter is one of the greatest frustrations I ever had working in the corporate world. So any tool that can help me think better is a tool that I'm interested in trying out.

Google is really pitching this as a personalized AI research assistant, and I think that's pretty accurate given how I've used NotebookLM so far. But I would also say that it works really well as just a personalized AI assistant. Whether or not you're doing research, it can be a great way for reflection on introducing your own files to NotebookLM, using something like obsidian, YouTube or your newsletter to draw insights into the deeper levels of what it is you're trying to build as a creator or as a knowledge worker.

Okay, so once we Click try Notebook LM, we get brought to notebooklm.google.com you can see here this is what it looks like when you haven't made any notebooks yet. If you're interested, you can try an example Notebook and it will provide you with some prompts on different options on how to get started. Once you create a notebook, you can upload your documents and then you can ask questions about the documents that you've uploaded. You can convert complex material into easy to understand formats.

So there's an automatic, automatic way to generate facts or briefing documents. You can also start building up a knowledge base, then share this with other people and they'd be able to see the insights that I'm deriving from NotebookLM. So to begin, let's just click Create. And here you go. Right away you can see that Google is asking you to upload sources.

So I figured that the best place to start would be to walk through the different sources that we can include. So if you use Google Drive, you can click on your Google Docs button and that will bring up a box with all of your Google Docs files. So you'd be able to go through and search and select the Google Docs that you have included. Or you can also do this with Google Slides. I don't use Google Drive or Google Docs.

I use obsidian for the most part. So I'll talk a little bit more about that in a moment. The next option is to link a website or link a YouTube video. So if you link a YouTube video, NotebookLM will transcribe the entire YouTube video so that you can do text based searching through it. You can also copy and paste in text directly, or you can upload your source by dragging and dropping or choosing files from your computer.

The supported files are PDF, text documents, markdown files, and audio. So Markdown is how obsidian operates. Which is why I'm personally so excited for NotebookLM, because I see this as an excellent counterpart for adding a short term memory AI system to my long term memory of obsidian. I can take different obsidian files that are private, drop them into NotebookLM to ask questions about it, and know that my obsidian files are not being sent to Google for training their model.

So one of the most powerful features of NotebookLM is that because I'm choosing the sources to upload, that means that I can choose sources that are very recent. I believe ChatGPT10's cutoff date is October 2023. It's more than one year ago, which leaves a lot of information that's out of date considering how quickly the world is updating. What's cool about Notebook LM is I can choose, for example, specific YouTube videos to upload here, and that will give me access to up to date information.

You can think of Notebook LM like that scene in the Matrix where Neo gets plugged in and upgrades his skills, where he learns martial arts and a whole bunch of things. So let's take a look at my most recent YouTube videos. I've been working on a series for obsidian and Digital Gardens. obsidian is my note taking software that allows me to generate markdown files that I can then add to NotebookLM. So as a quick example, I figured why not go through and select my YouTube videos because some of them have just been updated within the last couple days.

So there's no way that ChatGPT would be able to give me updated information on these notes. So let's go and copy the most recent note, select YouTube and paste the YouTube video in. Cool. So that was pretty quick. Once I have uploaded the video, you can see that it's a YouTube source on the side Here.

So this is where all of our sources will be listed. You can see that the source is selected for being added to the chat and then right away the Notebook Guide pops up. The Notebook Guide is an overview of the sources so far and has a couple key features here. So the first is that you can use the Notebook Guide to create any of these tools. Up above, you can generate an FAQ based based on my video called obsidian for Beginners.

I can generate a study guide, a table of contents, a briefing doc, a timeline. So already that's a pretty powerful way to summarize sources and try to identify links between different sources and also pull out the insights of the individual sources themselves. There's also a summary of the source. I could imagine using this for a Huberman video that's over 3 hours long. I can ask my specific questions of NotebookLM based on the video that Heberman would have uploaded.

So on the side here there's an audio overview and I will explain that in a little bit because that will make more sense once we've been chatting. And then there are some suggested questions here. The suggested questions are just quick starts on using the chat feature, which is here below. For example, this whole video is on obsidian for Beginners, nonlinear note taking plugins and templates. A logical first question would be what are the main benefits of using obsidian for nonlinear note taking?

So let's give that a go. Cool. So it took about 15 seconds. You can see that it answers the question with the heading at the top. The answer is pretty good. Non linear note taking is beneficial because it better reflects how the brain actually thinks, which allows you to revisit and use your notes more effectively. All of these are really apt and great points to derive from the YouTube video. But now let's say I don't want to just look at obsidian for Beginners. I want to add in the other features from my tutorial series.

So why don't we go and copy the rest of these videos into here? Okay, so now we have four sources on the side here and I can go back and view my chat now. It's very important to note that when you leave NotebookLM, your chat history will not be saved. Google doesn't use your data for training, but that also means that they don't save it inside the NotebookLM ecosystem. If you want to keep your notes, you have to save them specifically.

So if you're interested in saving the notes, what you have to do is click Save to note and it will generate a new note saved inside of your notebook. Here, so we can get that new note a name. obsidian Beginner Overview. So now If I leave NotebookLM and come back in, if I go back to this chat, the chat will have disappeared, but this note will be saved inside of my notebook. That's just something to keep in mind when you're going through that.

If there is ever anything that feels valuable in the notes, it's worth saving it. Because this is unlike ChatGPT, which keeps track of your conversation forever. And if you're interested in adding your own note, you can also create one here and then you can just write in it as if you were writing normally. Sometimes I use this to keep track of my prompts so I can copy this here, add a note, and just keep track on what prompts I'm using inside this notebook so that at a glance I could go back and see all the questions that I've asked. But now that I mentioned before, we've uploaded these four sources, why don't we use one of the built in features? Let's create an FAQ by pressing FAQ button.

It automatically creates a new note and saves it so you don't have to worry about losing this in the future. Great. So it already detected that. Obviously what I'm trying to figure out here is an obsidian faq. So it has what is obsidian and how does it work? What is the Digital garden and how can I create one with obsidian?

Honestly, this is a really good overview of all four of my YouTube videos. So what I could do is I could take this entire FAQ and I could add it as a blog on my website, or I could use it as a newsletter to give people just some really deep information that's well organized and summarized using NotebookLM. And all of that took about 10 seconds. This is a great way to repurpose your existing content. All I had to do was drop in my YouTube videos on the side here and then I could generate an FAQ overview.

So there's a couple other things. I could generate a study guide, could generate a briefing doc. So the briefing doc goes through and identifies key themes across all of the YouTube videos. And honestly, again, this looks like a real, really excellent overview. It even talks about code, which I go into depth in my YouTube videos.

It also includes some specific quotes. So that's a cool idea because repurposing content, I think is one of the key powers of NotebookLM. And here's a study guide, I could go and I could take in all of these YouTube videos and then ask a series of questions. So If I was using this as part of a course, for example, I could automatically generate some questions for the course and then have an answer key that's also automatically generated.

Now let's take a little bit of a deeper look at chat. I've only used one of the automated questions before, and honestly the questions are pretty good on the bottom here, so I recommend starting there and then expanding. But I can also ask very specific questions. For example, I could ask what the most common theme is throughout all four sources, because maybe what I'm looking for is to work on my next YouTube video and I want to identify insights and see if the insights that Notebook LM is generating are different than the ones that I've already thought about.

So I would say here, enabling users to build a comprehensive personalized second brain or personal knowledge management system is the key theme of what I was going for. So again, this is a great summary. So if I wanted to I could click Save to note, give it a title and we're good to go. Let's say instead of using one of the default creations in the Notebook guide, like the FAQ and the study guide, the briefing doc, I could ask NotebookLM to write an outline for a newsletter entry. Let's say this looks like a pretty decent overview of all the key concepts, and then I'll ask NotebookLM to actually write the newsletter Cultivating your digital garden with obsidian Great title.

I actually have a separate segment in my newsletter called Cultivating, so that's kind of funny. Are you tired of feeling overwhelmed by the constant influx of information? If so, you're not alone. We're bombarded with more information in a single day than people in the 1500s consumed in a lifetime. Honestly, this looks quite good. It's a solid overview, and I did limit NotebookLM to a thousand words, so I'm sure I could expand on it if I wanted to. Honestly, the options are endless.

Okay, now that you understand a little bit about how NotebookLM works, I thought it would be a good time to compare it with the most commonly used chat interface, ChatGPT. NoteBookLM is private and does not use your data to train its models. ChatGPT does, unless you turn on transparency mode, but then you lose the entire conversation anyways. NotebookLM lets you intentionally curate your sources, while ChatGPT does not have access to sources.

This also means that you can verify the credibility of your sources in NotebookLM. Whereas ChatGPT can hallucinate and make up information, NotebookLM can use real time information like today, whereas ChatGPT's cutoff is, I believe October 2023, which is kind of out of date. NotebookLM has a massive context window. 50 sources times 500,000 tokens is 25 million tokens. In comparison, ChatGPT is limited to 128,000 tokens.

That means that I can put a ton of books into NotebookLM and still have room left over, whereas I might not even be able to include one book into ChatGPT. NotebookLM lets you generate a podcast overview of all of your sources and notes, whereas ChatGPT only has the ability to have a text conversation or an audio conversation, which is effectively just a text input.

That said, if you try them both and you find that ChatGPT is performing better for certain types of questions or topics, you can always have a conversation in ChatGPT and then copy it into obsidian as a markdown file and add the markdown file to notebooklm as a source. That way you get the best of both worlds.

There are so many different ways that you can use NotebookLM. You can have a different notebook for each topic, each project, each conversation where you've customized the sources for that particular niche and then built up a micro ai system that you can ask questions about augmenting your personal knowledge management system. Let's go create a new notebook so I can go back to NotebookLM, and this takes me to the overall area of my notebooks.

So you can kind of think of this as your library. What I recommend is to create a new notebook for each topic or each project that you're working on. For example, let's say you've had meetings and you want to drop in audio files or transcripts from the meetings and then ask questions about it. You might want to have a specific notebook for meetings of that type.

So I could create a journal system where I drop in my latest journals. I could create another one for book notes where I drop in all of the notes that I've been taking from different books. So why don't we try that for a second? These are all book notes from my obsidian vault. Let's say I wanted to make some connections between Read, Write, Own Psychology of Money, Bird by Bird, Play Bigger, Building a Second Brain, the Innovators, and let's just go with that.

So I can drag all of my book notes in here. All of them are uploaded as sources. If you click on the notes, you can see that each source can be completely opened here. So I have a list of all of my notes in here and it gives me a summary on the top. It also includes all the topics.

And I have this for each book that I've included here. So let's ask a question. So it says the main theme is using the intersection of arts and sciences to improve humanity, different ways of how technology and creativity can be used to augment human capabilities, build community, and ultimately solve problems. So you can see how this is a pretty powerful tool. I could take all of my reading notes for my university course and drop them all in here.

I can also drop in the books themselves and ask for specific insights to be derived based on my notes and how those notes compared to the quotes from the books themselves. And then in each case, there's a specific link to the particular note that I took. So for example, in ReadWriteOwn, it draws to a specific portion on the three eras of networks with this citation. So not only can you see the themes be pulled through in the note itself, but you can also go and specifically find where that note came from.

Citations make it incredibly easy not only to identify key insights, but also to pinpoint where that key insight came from inside of the context of the source. That way you can go back to the context and then build out from there. And also, something that's worth noting is let's say, for example, Bird by Bird didn't fit the notes that I was pulling here and I was looking for something else. I could just remove Bird by Bird as a source and that would remove it from the query in the chatbot below. So you can always pick and choose between your different sources here.

And remember, if you're interested in saving the note, it's worth saving it. Let's try again. Write a blog of a thousand words tying all of these books together. I mean, honestly, again, this looks pretty good. Bridging the gap between disciplines. That's a key element of these books that I personally pulled from. And also keep in mind, these are my notes on these books, not the books themselves.

Though with NotebookLM's ridiculous context window, you could definitely include all of these books in their entirety. It just provides a really cool way for you to go and ask questions of either your notes or the books themselves. So you can imagine putting in the whole book of the Innovators, which I believe is like 900 pages, and then asking specific questions as it relates to an essay topic I'm working on for university, or as it relates to my startup, as it ties in with Psychology of Money and how I'm trying to improve my business. It's really hard to overstate how powerful this tool is going to be for me and Especially when combined with obsidian, because I'm able to pull in all of my thoughts, ideas and existing knowledge base, my personal knowledge management system, and then augment it with Notebook lm.

So this newsletter seems pretty good. I can save that. And now let's take a look at the Notebook guide. The audio overview creates a podcast based on the sources that you've included in that notebook and the notes and conversation that you've had inside that notebook.

It's a really cool way to get a third party perspective on the sources and questions that you've been asking to give you different insight and perspective on what you've been looking for. Let's take a look. I can generate a deep dive conversation about all of these notes in here and my conversation that takes a few minutes. So you can see that the podcast is ready to go. It's about 16 minutes long.

And honestly, this will probably blow your mind, because it definitely blew my mind. Let's give it a listen. Online communities can be such lifelines, especially for people who feel isolated or misunderstood in their offline lives. For sure. It's like finding your tribe, your people in the vastness of the Internet. Absolutely. It's about finding your place in the digital landscape, a space where you can be yourself. Right.

Honestly, I was blown away by the podcast feature. The audio overview of the two AIs having a conversation with each other. I use this for learning about quantum computing, and the conversation between the two AIs really helped me understand the concepts to a much deeper level. So I can go and download the audio file. What's also cool is if I wanted to, I could delete this and I could go add specific customizations and then I can generate a new podcast based on that particular frame of reference.

Let's hear what it sounds like. Welcome to the Deep Dive. Today we're going to be exploring a pretty fascinating intersection, I think, where tech and science kind of meet the arts. Okay. And we're going to focus specifically on building sustainable systems for creation. So I'll Download this. It's 25 minutes and I can listen to it later. And rather than going back and reading through all of these notes on my books, I can instead listen to a podcast that's been created that synthesizes all of the books together and potentially will start to give me some cool insights.

Okay. Now that you've seen how NotebookLM can be used in a few different ways for creation and knowledge management, I thought that it'd be useful to go through a couple more example cases that I've Found valuable. If you find any of these interesting and you'd like to go deeper into them, please let me know in the comments and then I'll make another video about it. Okay, so as another example, let's create a new notebook and I want to show you a research example.

Okay, so a little while ago I was doing some research on executive function and the default mode network. I'm going to add a couple papers related to the default mode network. You can see this is a pretty complicated paper. It touches on a lot of neuroscience, so I want to simplify. And then because this relates to the concept of finding flow, let's add that in there from my obsidian vault too. So let's drag in the finding flow note.

Let's generate a briefing doc of these three sources to see how NotebookLM thinks they tie together. This is getting more into neuroscience and getting into some pretty complicated subject matter that I'm not an expert in, but would love to learn more about neuroscience flow and the default mode network. Perfect. Okay, so that's not bad. But let's, let's go a bit deeper.

Let's ask the chatbot, can you identify key themes between all the sources and then give a practical example of the benefits of flow? So again, what's cool is I can see exactly where the information is coming from, so it'll pull the specific location of the citation that's given me the key themes. Let's take a look at the practical flow example so I can tell that it's pulled in the specific elements of the finding flow book that I took in my notes. So that's very good to know.

Again, I could just go through and keep diving deeper on any of these topics and keep adding more sources, perhaps finding some long form neuroscience YouTube videos to drop in for additional context. And I can create a new project for each one of these. Okay, so as another example, I just attended the Hinton Lectures hosted by Geoffrey Hinton, who is known as the godfather of AI, and I recorded the lectures. So I have an audio file here.

And then I also had a conversation with my partner Taylor about it, and she had a lot of good insight and I had a lot of good insight in that conversation. So what I'm going to do is I'm going to take all three of these. The lecture one, lecture two, and then the debrief that Taylor and I had, I'm going to drop them in here. This is a good example of how to use audio files because for me to go back and listen to this whole thing each of these lectures is an hour and a half long and my conversation with Taylor was about an hour long.

So that would be four hours to go back through and listen to all of these notes. But instead I can drop them into NotebookLM, which will generate an automatic transcript and then provide me with a chat interface that I can go and actually just ask questions about the lectures. It automatically transcribed it, it pulls the themes, which is a really great way to identify the key elements of a note. And then I can go to Notebook Guide. It's not actually a conversation between Taylor and Jared.

And then I could generate a briefing doc of all the different notes and I can ask it a question. What is the biggest takeaway I should care about from these three sources? Most important takeaway is that AI systems can surprise us with emergent behavior such as persuasion, manipulation and deception, which can pose significant risks for individual and society as a whole. I would say that's the core theme of what these lectures were about, and it's honestly a really important thing to consider.

I could spend hours asking questions about my own notes that I made with conversation with Taylor and reference the original lectures themselves. You could use a meeting, for example, or a lecture recording from university. So you could use this at work where you're taking your meeting recording and then you ask it to generate emails or to do lists. There's just again, no end of what you could do with this type of system because you don't have to worry about any of the information being given to Google for training. You can hold on to the confidentiality of the source materials themselves, which is just such a powerful level up from something like ChatGPT.

Let's go back to my tutorial video. So I have my four YouTube videos here and right now, obviously I'm working on my Notebook LM tutorial, but I also want to tie Notebook LM to obsidian because to me, these are two elements of personal knowledge management that AI really augments in a way that we haven't seen before. Because I'm able to take my second brain, my obsidian vault, and add whatever files I want in here and then tie it to things like my newsletter and my YouTube videos.

I'm able to use my second brain in a different way without giving that data to Google or OpenAI for training. So why don't I go and take the notes that I'm currently using to make this tutorial, drop it in here and then see what NotebookLM suggests me to include in this tutorial. So let's go add a source, choose a file and find my NoteBookLM tutorial notes. So let's select that.

Okay, I just added that in here. Now I'm going to ask, using my notes from the NotebookLM tutorial, suggest an intro script, a middle script, and an outro script for a YouTube video based on a tutorial of NotebookLM, the scripture for me to record as Talking head. To highlight the value of using NotebookLM, I can see here that it's suggesting using the Information Overload commentary, which I think is a really valid reason to use NotebookLM, because NotebookLM effectively helps you filter information.

A tool that helps you not just store information, but actually work with it in a way that feels natural and intuitive. Cool. So I will review this now so that I can make the best tutorial video for you as possible. This is another instance of NotebookLM I have. I actually used this to create an obsidian dataview query.

So what I did here is I pulled in all of the FAQs and all of the deep information on how Dataview operates in obsidian, which effectively is a type of code. And I talk about this more in my other videos. But dataview is effectively a way to turn your obsidian notes into a database. So by adding in all of the explanations on how to use dataview, I effectively created a tool that's a query builder so that I can create lists and tables of my notes in whichever way I want to.

Another way to think of NotebookLM is that it's effectively a way where you can have little tools built in. And I built another one for audiogram extractions and YouTube scripting, which I'll explain more in another video. But the idea here is that I can go through and pull out all of my YouTube videos and then extract specific components of it using exact quotes, and then use those quotes to create shorts that then promote the YouTube video. This is something that I couldn't do in ChatGPT because ChatGPT wouldn't have access to my YouTube videos. I'd have to drop in the transcripts themselves and it's just another couple steps.

Again, you can think of this as your library and you can put whatever project or research idea you have, anything that you want to deep dive on, you can go on the Internet and you can just drag and drop any number of sources. So for example, I can go and I can pull all of my newsletters that I have talking about personal knowledge management. Let's see, Building a Sustainable Creation System, Creating Income Without Burnout, Mental Safety from AI Anxiety, Augmented Personal Knowledge Management, and a couple more.

So now I have a few different newsletters here and what I could do again is I could just create a new newsletter or create promotional material for social media and I can pull specific quotes and examples from my newsletter without having to go back through them all. Not only is this a great way to do research and pull from the Internet using other people's sources, but I can also add my own sources and create a content management system that allows me to easily repurpose my existing content. And for example, I could generate a conversation that ties together all of these podcasts and then listen to it later and use that to stimulate ideas and insight for my subsequent newsletter.

As another example, if I was doing consulting, I could create a new notebook for the particular client that I'm consulting with and assuming they're aware of the fact that I'm recording the meetings, I could record the conversations that we have and drop in any meeting notes and then create a briefing doc automatically using NotebookLM based on the conversation so that I have an idea at a glance of what the conversation was about and my next steps. As another example, I could drop in newsletters up to date, breaking news information, drop YouTube videos in here, and then have a real time conversation as events are breaking with NotebookLM using the source material that has just been released.

I could also create a new book that keeps track of my health along with the journal and wellbeing. I could have a specific one for my business on business strategy that updates as I get new data from either market research or profits and losses. There's really no end to how you can use this software. And there you have it. NotebookLM is an incredible tool for augmenting your personal knowledge management, helping you work with your information and knowledge a lot more efficiently and effectively.

The goal here is to not have AI replace you, but to use AI to increase the quality while decreasing the amount of time it takes to generate and work with your knowledge. Remember to keep Notebook LM's notes forever and not lose it when you exit the app. You have to save your notes inside of NotebookLM. You can think of this as your short term memory. If you want to add it to your long term memory, you can copy the note from NotebookLM and add it to obsidian, which functions as your long term memory.

This is why obsidian and NotebookLM are perfect for each other because NotebookLM accepts markdown files and obsidian operates in markdown files. If you're interested in learning how you can build up your personal knowledge management system in obsidian, I have a whole tutorial series that goes into depth how you can use this as a really powerful tool for augmenting your knowledge. I use obsidian every single day so I highly recommend checking it out.

Another benefit is that if Google changes their platform, if they change how NotebookLM works, you still have a copy of the value that you got from NotebookLM inside of your obsidian vault as part of local storage so you don't ever have to worry about losing it. Now I know this has been a lot of information so I'll talk more about obsidian and NotebookLM in another video. If you found this video helpful I would love if you would please consider liking and subscribing as your support really means a lot to me. If you know of someone that might find NotebookLM valuable I would also love if you would consider sharing it with them as word of mouth is by far the best way for me to grow my channel so I really appreciate it. Thanks again for watching and I will see you in the next video.

Technology, Innovation, Education, Personal Knowledge Management, Privacy, Content Creation, Wanderloots