Ep 383: NotebookLM Updates – customizable audio and a business edition?

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Prepared for the Future: A Comprehensive Business Edition

The imminent launch of a Business Edition has led to speculation over future costs of the platform. In response, Google has emphasized that although NotebookLM is currently free, this is unlikely to change. This is a remarkable shift from years ago when organizations primed for technological advancements had to make significant investments in comparable technology.

Prioritizing Privacy and User Data

NotebookLM ensures it does not gain undue access to sensitive organizational data by mandating that users upload their own data sources. This critical feature optimises user confidence in the model's privacy parameters. The information can be uploaded in a plethora of formats including text, YouTube videos, and PDFs, thus providing flexibility for various business functions.

Interface and Functionality of NotebookLM

The platform allows for the addition of individual notes and chats within its system. However, the chat history will not be saved unless it is rendered as a note. This serves to amplify the tool's role in fostering accuracy and grounding aspects.

Handling Capacity: Addressing User Concerns

Large language models are notorious for being trained on broad internet content, which sometimes raises concerns about copyrighted material usage. However, NotebookLM has inbuilt guardrails against such issues. It can handle up to 50 sources with 500,000 words each, totaling to 25 million words of context.

An Interactive Experience: Customized Audio and Enhanced Features

The surge in popularity of NotebookLM can be attributed to its advanced audio capabilities that transform it into an interactive tool. The business world has compared the evolution and demand for AI models to a metaphorical gold rush, making interactive and user-friendly features the key to staying ahead.

Looking Ahead: The Potential of a Mobile App

The potential for a mobile app is being explored, hinting at accessibility improvements and a broadened host pool.

NotebookLM for Business: The Future is Now

Currently in its pilot phase, the business edition of NotebookLM suggests future pricing structures largely targeting teams with large organizational adoption. This has positioned NotebookLM as a viable competitor in the artificial intelligence industry.

In Summary

With the AI algorithm's capacity to learn from uploads and regenerate them as needed, the new developments in the pipeline, and the transparent, user-centric foundations of the platform, the NotebookLM offering is more robust than ever. It ushers businesses into the new era of AI where user retention and accessibility become the front runners of business operations.

Topics Covered in This Episode

1. Google's NotebookLM Features
2. Existing AI Platforms vs NotebookLM
3. Demo of NotebookLM
4. NotebookLM Audio Overview
5. Future of NotebookLM

Podcast Transcript

Jordan Wilson [00:00:16]:
In a very short amount of time, NotebookLM has gone from this kind of unknown tool by Google to a powerhouse. Like, now y'all, I'm I'm watching the evening news, and NotebookLM is being talked about. So we've already covered it once or twice, but they just released some brand new features, customizable audio, and a upcoming business edition. So today on everyday AI, we're gonna get you caught up on NotebookLM if you haven't already done a deep dive, pun intended there. But we're also gonna go over what's new and do some testing live. So, I'm excited about this one, and I hope you are too. What's going on y'all? My name is Jordan, and welcome to Everyday AI. We are your daily livestream podcast and free daily newsletter, helping us all keep up with generative AI and using all of this to get ahead, to grow our companies, and to grow our careers.

Jordan Wilson [00:01:18]:
If that sounds like what you're trying to do, awesome. You're in the right place. We do this literally every day weekday, Monday through Friday. It's unedited, unscripted, realist thing, and artificial intelligence. So if you haven't already, please, make sure to go to your everyday ai.com. If you're listening along on the podcast, thank you for tuning in. We do this thing live too. So sometimes we ask for, audience help.

Jordan Wilson [00:01:40]:
We're gonna be doing that today, but make sure you check out your show notes, to go to our website and sign up for the daily newsletter. Alright. So before we get into all of these new juicy NotebookLM updates that I'm excited for, let's first start the day as we do every single day by going over the AI news. So Meta has partnered with BloomHouse to generate short films using MovieGen, a new suite of AI tools that enables users to create 16 second video clips from text prompts. So this new partnership with Bloom House features some prominent filmmakers such as Anish Chagatant, Chagante, and Casey Aflac, who are experimenting with AI generated content, which could really reshape how stories are told in the future with film. So while Bloomhouse's CEO Jason Blum sees potential for these tools to enhance creativity, the broader adoption of AI in Hollywood has sparked some mixed feelings. Right? The whole AI taking our jobs and it being, you know, too good and replacing small teams. So, an interesting partnership there, from Meta and Bloomhouse.

Jordan Wilson [00:02:47]:
Alright. Our next piece of AI news, OpenAI has, I think, launched something that's going to be very popular. A desktop app for Windows, for ChatGPT. So OpenAI has just announced the release of its new Windows desktop application, for its popular AI chatbot, ChatGPT. So this has already been out for, on Mac for many months, but the new Windows app is currently available in preview for ChatGPT plus enterprise team and EDU subscribers. So you have to be a paid subscriber to ChatGPT to get access to this. And OpenAI's strategy right now goes beyond convenience. They're really seeking to deeper, deepen user engagement, improve data collection for model enhancement, and also create a robust ecosystem that could be difficult for competitors to penetrate.

Jordan Wilson [00:03:38]:
So, yeah. This this piece is pretty interesting. I've been using the desktop app for Mac since it came out, and it's something that really does help your workflow. Just having, quicker access to ChatGPT, not always having to, you know, launch a new tab, but it being right on your desktop, being able to launch it with a simple, keyboard command, pretty cool. So, hey, let me know in the newsletter. Why don't you reply to the newsletter today? Let me know if you're gonna be using the new ChatGpT app. And then last but not least is a good transition for our show today. The NotebookLM updates has everyone talking, including us today on everyday AI.

Jordan Wilson [00:04:15]:
Alright. Let's get into the topic today on what's new in notebookLM, what you need to know with these new, advancements, and, if I think you should use it. Alright? It's gonna be a fun one today. Hopefully. Right? Doing these things live. Right? That's what we're gonna be doing. We're gonna be doing some live examples. So for our livestream audience, I need you to be ready.

Jordan Wilson [00:04:39]:
Right? You can drop some ideas now, but here's here's some help that I'm gonna need from you all. One thing that we do, right, and even my background. I was a journalist before. Alright. So I like to say when it comes to AI, we're investigative practitioners. So we never just take what a company gives us and read it to you on the air. We always test things. We always try to break things.

Jordan Wilson [00:05:01]:
We always try to see what's the story that the company doesn't want us to know. So we do things live. Right? Which, if I'm being honest, doing any generative AI demo live to thousands of people can not not so much nerve racking, but it can go terribly wrong. Right? So I I hope I can, count on you all for some good suggestions today. So here's here's what I'm gonna need a little later. I'm gonna need a common skill, something that you would want to learn. Right? So as an example, maybe playing the piano or quantum computing. Right? So what is something that most part for for the most part, people at least understand what it is but maybe they don't know how to do it.

Jordan Wilson [00:05:41]:
So I need a common skill or a common subject that you might wanna learn. And you can go ahead and get those ideas in now, for our live stream audience that's joining us like Jay from Grand Rapids or Christopher from Bowling Green and Kurt from Ohio. So I need some examples of a common skill and then a common group of people. Right? So basketball players, healthcare specialists, 8th graders. Right? It's it's kind of like that old, what was it, the adlib game, right, where you you you have to kind of fill in the blank. That's what we're gonna do live to test out these new features in NotebookLM. Alright. So if you don't know what NotebookLM is, don't worry.

Jordan Wilson [00:06:26]:
Yeah. We're gonna talk about all the new stuff here in a second, but I'm gonna first give everyone a very high level recap of NotebookLM. Alright. So, it should be in your show notes if you're listening on the podcast, but go back and listen to episode 370. Did a complete deep dive. Again, that time pun was only half intended because I use deep dive a lot. Alright? But here's, in episode 370, so you can go to your everydayai.com. Go listen to that.

Jordan Wilson [00:06:56]:
But essentially this, NotebookLM is both very similar to other kind of AI chatbots that you've used, and it's also completely different. Okay. So it is made by Google. Let's start there. And let's start by clearing some confusion. You might be thinking like, oh, what's NotebookLM by Google? I thought Google had that Gemini chatbot. So, yes, it does. Alright.

Jordan Wilson [00:07:20]:
And let me also be very honest. I'm not a big fan of the front end of Gemini. So when I talk about front end, that is, you know, if you're an everyday person, that's what you're doing. Right? When you go to chatGPT.comorgeminidotgoogle.com and you kind of, you know, log in to your account whether you're on a free or a paid account and you use the quote unquote chatbot. I'm not a fan of Gemini on the front end. I think the back end is fantastic. Google has their AI studio. It's probably one of the better back ends.

Jordan Wilson [00:07:49]:
Right? You know, ChatGPT as an example. There's a front end. ChatGPT is the leader there. The back end, it's great. Right? The, the assistance API, the playground, all of that. So I'm talking about front end here. So this is a new front end product. So what that means is with hardly 0, skill you don't need any skill actually.

Jordan Wilson [00:08:10]:
You can go in, log in on the front end of notebooklm with a Google account. So you can have a free Gmail account or maybe your company has a Google Workspace. Alright. You can log in. It's free right now. Alright. And it's grounded. Okay? So I'll give you an example of what that means.

Jordan Wilson [00:08:29]:
But this is huge and I think everyone is talking about these AI audio overviews, these deep dives, and that's really what's stealing the show. But what I think is when you really even wanna know the difference of, like, hey, what's the difference between Google Gemini and Google NotebookLM? Well, NotebookLM is grounded. Okay? And it does so through this isn't traditional rag. Right? Rag was kind of the the the keyword, you know, the buzzword in AI a year ago. Retrieval on many generations. So that's essentially, before your query goes to a large language model like Gemini 1.5. Right? That's what runs NotebookLM is Gemini 1.5. So NotebookLM is a grounded model.

Jordan Wilson [00:09:11]:
So that means if you just go in and if you don't add sources, if you don't add information, you literally can't use it. Right? Which is huge. This is huge. Right? And this is, I think, addresses one of the biggest problems out there, with large language model and generative AI right now is it's trust, it's transparency, it's explainability, it's it's this black box of generative AI. NotebookLM is so simple. Right? If you don't give it source information, it can't do anything. You literally can't use it. So it is grounded in the information that you provide and you can provide information in a lot of different ways.

Jordan Wilson [00:09:49]:
You can copy and paste text in, you can upload YouTube videos, you can upload files off your computer like a PDF as an example. You can connect to Google Slides, Google Docs. You can upload an MP 3, which I like, right? In that piece right there, I gotta call this out. Alright? Because a lot of people are saying, oh, it's it's you know, what if you're using copyrighted material? Right? You can't have your cake and eat it too, and then judge people who are eating the cake. So here's what I mean by that. If you are an advocate or a user of large language models, you've already essentially right? Which is everyone in the world. Right? You can't not use AI. It's it's coming to your devices whether you like it or not.

Jordan Wilson [00:10:38]:
Right? But the reality is the way large language models are work work is they scrape content. Every almost every single thing that's ever been on the Internet, copyrighted works, pieces of media, offline datasets, it's all in these large language models. So, you know, I some people are like, oh, okay. I love, you know, I love AI. I love large language models, but, oh, I'm not so sure about, you know, uploading content into Google LM, you know, copying and pasting, an article or using a YouTube video that's not mine. Guess what? That's how all large language models are trained. So like I said, you can't do something with your left hand and then judge your right hand for doing the same thing. Alright.

Jordan Wilson [00:11:18]:
Let's just put that out there. And also, are there is is there a further discussion to be had on this? Absolutely. But that's not what we're getting into today. Alright. So, the way NotebookLM works is you upload all of your information then it is grounded. It is a a type of retrieval augmentive generation and it's different than most chatbots. Here's here's one of the reasons. It doesn't save your chat history.

Jordan Wilson [00:11:40]:
Right? Which I think there's there's pros and cons, but probably for most users, more cons than pros. So it works a little differently, and I'm gonna show you, I'm gonna show you a little bit of on how that works, here in a minute when we do this live. But you need to save things as notes. So it works a little different, which I think, like I said, is not necessarily a bad thing, it's just a little different. Also, the context is huge. Is huge. So you can have 50 sources of up to 500,000 words a piece, which is 25,000,000 words of content, context. Right? Which is mind boggling.

Jordan Wilson [00:12:20]:
Alright. This right now, the fact that this is still free for anyone, it's wild to me. Because like I said, I think NotebookLM is a genius product. It solves so many problems. Right? Large language models hallucinating, not being able to easily work with large amounts of your data. Right? It solves those problems. Also, right now, it's free for now. Alright.

Jordan Wilson [00:12:47]:
And we have audio overviews, and that's really what has blown up the popularity of NotebookLM in the last couple of weeks, when last month in September, they announced audio overviews. These were essentially it's an AI podcast where 2 AI hosts, you upload all of your documents, and then they essentially do a, you know, short anywhere from 3 to 12 minute, sometime 15 minute podcast on your content. And it sounds very human, very cool. Alright. So what's new? So that's that's what's been out there, and, y'all, if you're not already reading our newsletter, we told you about NotebookLM, like, 6 months ago before all this hype. Right? So if you follow along with us every single day, you're gonna be so far ahead even of the people who are quote, unquote far ahead. Just putting that out there. Right? That's why we do this every day and we have receipts.

Jordan Wilson [00:13:34]:
I can be like, yo. I told you about this way before way before it was on CNBC at night or, you know, MSNBC. Right? Because now literally everyone's talking about Notebook 11. So here's what's new. So it's out of beta. That's a small thing. So it's no longer an experimental product. They got a new logo, so it's it's looking looking a little polished, even a new landing page.

Jordan Wilson [00:13:55]:
Alright. Also, there's some new features when it comes to the audio overviews. I think that's the big thing. So, you know, people might call these audio overviews, they might call them the AI podcast, they might call them the deep the deep dive. Right? So those three terms might be using them interchangeably, but now you can listen to this in the background and then continue to work within your notebook. Alright? And again, I'm gonna show you guys live what that looks like and how it works. The big new feature oh, my coffee's not good this morning. That's a bummer.

Jordan Wilson [00:14:28]:
Normally, I'm I'm I'm over here sipping on coffee. Do do any of you guys, I'm just curious, do you guys have like a morning routine if if you try to listen, you know, once or twice a week, to the show? Let me know. I'm always curious. Alright. So the big thing here, I think is customizable audio interviews. Alright. So this is kind of also I think what made the product go viral, is because a couple of weeks ago, you you know, some smart prompt engineer out there essentially just uploaded one file. Right? So like I said, you have to upload a file in order for notebook.11 to work.

Jordan Wilson [00:15:01]:
And what this person did is they essentially uploaded a I won't say it's a it it was a jailbreak or anything like that, but they essentially just uploaded one file and it was essentially script instructions to these AI podcasts. Essentially, it's like saying something like, hey, guess what? You're an AI and this is weird. Right? React to it. You know, and then they had this almost, crisis. Right? The the the AI, the AI podcast, the the audio overview deep dive was like the 2 AI hosts, you know, going through an existential crisis. Like, oh my gosh. We're AI. I tried to call home.

Jordan Wilson [00:15:33]:
No one was there. What's going on? Right? And then I think internally Google caught wind of this and they're like, wait. You should be able to steer these podcast hosts a little bit because before which I don't think was I I I think there's pros and cons. Before you just put on in all your information and then the the the 2 AI hosts just handled it however they quote unquote saw fit. And I know that's weird, right, to give agency to AIs, but that's what happens. Right? The the the the AI within Google, Google's NotebookLM decided how they could, you know, what they would make of your podcast. Right? Whether you had, 50 words in there or, you know, 5,000,000 words. Essentially, Google decided or NotebookLM decided how in in what format they would create your audio overview.

Jordan Wilson [00:16:20]:
So now you can customize it. So that's that's a really big, new update here that came out. And then last but not least, couple other things that they're testing. This isn't out yet, but they're, potentially looking at a mobile app. And then they're also looking at the possibility to add more than 2 hosts or additional hosts. Alright? Pros and cons on that. And then the other big thing here that they announced yesterday is NotebookLM for business. Alright.

Jordan Wilson [00:16:48]:
This is not out yet. It's a pilot program right now and you can if you want, you can join the pilot. So, presumably that means there's going to be pricing because they talk about pricing. Alright. So, we assume that this is going to be used for teams. Google says that right now more than 80,000 organizations and millions of users are using NotebookLM. And then there's going to be a business edition. Right now, we don't know a ton on what is going to separate this business edition from the edition that you're or from the free version that is already there.

Jordan Wilson [00:17:25]:
And we don't know, will this still remain free after a business, edition launches? We're not sure. Right. So all we know is that Google and NotebookLM is really pushing this centralized knowledge base for your team across, you know, marketing, l and d, sales, customer service, etcetera. And the use cases are obviously abundant and they're low hanging fruit because you've probably tried uploading your data, right, into the front end of Google Gemini. Not very good. You probably probably tried uploading your data into the front end of ChatGPT, maybe using a custom g p t. Okay, but still not great. You probably tried the same thing in Claude, using Claude Projects.

Jordan Wilson [00:18:07]:
A little better, but still not good. Right? No matter what, kind of path you've chosen, you're always gonna deal with hallucinations because the way that most models work is they're not grounded. So they might first check their own internal data. They might browse the web. They might use your data that you've uploaded. Right? So it's kind of a a a mix, right, of of how they retrieve the knowledge. Right? And because large language models are generative, it's gonna do it a little different every time. So even when you're uploading your files, your knowledge base for your company into Claude, into Google Gemini, into, ChatGPT, you know, whether you're doing kind of normal chats, whether you're building GPTs or projects or gems in Google, results aren't always that consistent and aren't always that good and there's hallucinations, and I think that's the problem that NotebookLM solves.

Jordan Wilson [00:19:01]:
Alright? Also, both on the personal and the business version, Google does say this. They say, we value your privacy and never use your organization's data to train NotebookLM. Alright? It says as a NotebookLM, business user, they also say the same thing for personal users, your data will stay private to you and whoever you share your notebook with. So let me just get the elephant in the room. Right? People are confused. They're like, okay. Well, right now, if it's free, if you can upload all of this data, right, essentially, this is a state of the state of the art rag model, which is wild, and it's free. If you would have told people a year or 2 ago that this would exist, companies literally in early 2022, you you know, mid 2022, right around the ChatGPT moment, companies literally spent 2, 3, $4,000,000 building a version of something like NotebookLM, but it was way worse.

Jordan Wilson [00:20:04]:
And it required a lot of time, a lot of money, a lot of resources. Now it's free. Right? Like I said, you would have told people 2 or 3 years ago that this exists, they would have said, heck no. There's no way. It exists. It's amazing. I talk about AI all day. It's fabulous.

Jordan Wilson [00:20:20]:
It's like I said, I said I think I said this on on the first show, that I did on NotebookLM. For me, NotebookLM was more of an moment, for the power of AI than the initial version of ChatGPT was. Right? And you all know I love ChatGPT. But when the first version of ChatGPT came out November 2022, I thought it stunk. Right? We had been using the GPT technology, through dozens of other AI tools at that point, and it was better, right, that OpenAI's technology was better in all of these other tools that had been out for, you know, a year or more. So when ChatGPT came out, I was like, not that good. When NotebookLM came out, I was like, wait, what? Wait, 0 tech skill, free, accurate, grounded, right? Bonkers. So why did Google make NotebookLM then, right? They have Gemini, their front end chatbot, and they've spent a bajillion dollars marketing it.

Jordan Wilson [00:21:23]:
Right? Super Bowl commercials, it's there. Everywhere on the Internet. Right? Like, everyone knows about Google Gemini, so why would they make what seems like, you know, not a competing product, but something that's kind of similar. Right? Why would they do this? Well, here's one of the reasons and why it's free, why I think. Right? It's all about users. Right? Right now, I don't think the big companies out there so your Googles, your Microsofts, OpenAI, Anthropic, Amazon, etcetera. They don't care about money. They don't.

Jordan Wilson [00:22:06]:
They care about users. They care about retention. Right? It's literally a gold rush right now. Alright? And think, you know, oh, everyone went out to California in the gold rush. Right? Everyone went west. Think of it as like different states competing. It's like, hey, come get this gold. It's free.

Jordan Wilson [00:22:24]:
Come get your gold. We just want you to settle here. We want you to stay here. And so far, OpenAI and ChatGPT have been crushing everyone else when it comes to, hey. Stay here. Right? All these companies make, you know, all this stuff available for either free or $20 a month, which is crazy. Right? This is worth 100 or 1,000 of dollars a month in terms of what generative AI and large language models can do when you combine it with your data and you have a little bit of skill. It's literally worth 1,000 of dollars a month.

Jordan Wilson [00:22:56]:
But for the most part, everything's free or $20, 20, $30. In my opinion, this is why. Google has started to shift, and invest resources into NotebookLM. Alright. So I'm sharing a little, graphic on my screen here. This is data through June 2024. And this is essentially traffic, right, amongst ChatGPT and then its rivals. So in June, ChatGPT had around 3,000,000,000 web visits.

Jordan Wilson [00:23:28]:
1,000,000,000 with a b. Alright? And then if you combine combine Google Gemini, Perplexity, and Claude, combine those 3. They did not even get 1,000,000,000 combined. Alright? You don't need to see this chart. Essentially, you know, then character AI is another, you you know, kind of widely used, AI system. Right? All of the other biggest ones combined are not even a fraction of ChatGPT. Alright? So in my opinion, that is I mean, companies know this. Right? Companies know this.

Jordan Wilson [00:24:07]:
They like, they know if they're winning or losing. And right now, even if they're winning, even if if Gemini and Claude are, increasing their user base month over month, ChatGPT is on a meteoric rise, right, in terms of being able to attract new users and retain new users. Right? Like I said, 3,000,000,000 versus the other biggest ones combined are not even at 1,000,000,000. So in my opinion, people are always like, okay, well, why why did Google launch NotebookLM? Well, I think they're taking smart move. They're taking a completely different approach to how a large language model can work, and the business value it can offer. Whereas I think, you know, Gemini is it's, you know, much more steerable. It can be much more creative. That's not NotebookLM.

Jordan Wilson [00:24:56]:
NotebookLM is grounded in your data, which I think companies finally realized probably about a year and a half ago where it's like, okay. Cool. Large language models are cool. But what companies really wanna do is they wanna get their data in there, and they wanna actually set up some strict guardrails in terms of working with their data. And that's what notebook I think, that's what NotebookLM right now accomplishes far better than anyone else. Right? And y'all, I spent thousands of hours inside all the larger language bottles. So don't come back to me and say, oh, Jordan, have you tried Claude projects? Yes. Yes.

Jordan Wilson [00:25:31]:
Hours a week. Right? Hours I try try all these Google Gems, cloud projects, you know, OpenAI's GPTs, and I teach I've taught thousands of people how to use all this. NotebookLM is in a class of its own right now. Alright. Let's get crazy. Let's get crazy. This could go awful. I need some suggestions y'all.

Jordan Wilson [00:25:54]:
And we're gonna do this live, and we're gonna show you these new features in NotebookLM. And at the same time, we're going to see a little bit. Alright. So I need everything from our livestream audience. If you didn't get anything already, please get some ideas, and I'm gonna go through them right now. Alright. So I need a common skill. Right? Something that you would try to try to learn, and that's what I think NotebookLM is so good at.

Jordan Wilson [00:26:25]:
And then a common group of people. Alright? So let's let's go ahead. I wanna look through some of the ideas so far, and please get your idea in here quickly. And then we're gonna do this, we're gonna do this kind of live. Alright. So let's let's read, let's read some of our examples so far. Alright. So Angie says a group of people, college students, I like that.

Jordan Wilson [00:26:52]:
Christopher saying, you know, the group of people, writers, poets, or other types of artists. Juggling for retired people. I like that one, Rachel. That one made me laugh. Okay. Several people at the retirement center learning to pay play cribbage from Angie. Oh, I like that idea, Angie. My grandparents played cribbage.

Jordan Wilson [00:27:11]:
So I I kinda like that one and I've always wanted to learn cribbage. I think I learned it when I was like 8, but I forgot. Sabbatical life from YouTube says learning French. Common group of people, churchgoers, people, project managers. Okay. Let's maybe combine some of these. So, let's do, learning to play cribbage for project managers. Alright? So we're gonna combine.

Jordan Wilson [00:27:40]:
We're gonna combine here. Alright. So here's what we're gonna do y'all, and, apologies. I'm gonna try to keep this, tight. Alright? But we might go off the rails, but, hopefully, you'll learn something here. And podcast audience, I'm gonna be sharing my screen. Hopefully, I'll be able to describe this, enough. Right? You see y'all, I use NotebookLM all the time.

Jordan Wilson [00:28:03]:
Look. In the past 2 days, I'm sharing my screen right now. Just in the past 2 days, I've already used it, like, 8 times. I use this nonstop. Right? I use this to prepare I use, right, kinda meta. I use NotebookLM this morning and last night to prepare for my NotebookLM show today. Alright. So here we go.

Jordan Wilson [00:28:20]:
So here's what I'm gonna do. I'm gonna go into new notebook. Okay. And you'll see the first thing it says is add sources. So this is what I was talking about earlier. You can't just go in and start using this. It's grounded in your data. Alright.

Jordan Wilson [00:28:31]:
So I'm just gonna show you an example. Under here, I'm just gonna paste in some text because if I x out of this, I literally can't go down here and use it. Right? So, NotebookLM has a familiar interface but, on the left hand side is your sources. This isn't your chats. Okay? So this is a notebook. So when you go in a notebook, on the left hand side is all of your sources that you can upload and you can always add and delete them as you go along. And then, on the bottom, this is where you will will chat with your sources essentially. And then the other thing, chats aren't safe.

Jordan Wilson [00:29:02]:
So when you exit out of the page, all of your chats are going to be gone. That's important to know. So if you get something very useful that you want to save, you will add it as a note. Alright. So anyways, I can't go down right now and start typing. I'm clicking down here at the bottom. You literally cannot use NotebookLM until you upload data. So let me just give you an example.

Jordan Wilson [00:29:25]:
I'm gonna go copied text. Okay. So the different ways you can copy, you can copy and paste text, you can put in a link to a website or a YouTube video, connect Google Docs, Google Slides, or upload files such as PDF, text, markdown audio. So I'm just gonna go to copy text. I'm gonna put in test. Alright. Just to show you guys how this works. Okay? So now you'll start to see some of this information fill out.

Jordan Wilson [00:29:47]:
Alright. So now I can start typing. So I'm gonna say, tell me how to play cribbage. Okay? So here's what's gonna happen. It's gonna have no clue, even though in a normal large language model, this is in its training data. But, again, NotebookLM is grounded. I know everyone wants to talk about how cool the AI voices are. No.

Jordan Wilson [00:30:11]:
You guys are sleeping. You're missing out. I think on the most valuable thing in AI right now is a grounded, large language model that has RAG built in, a state of the art model because it uses Gemini 1.5 that only works in your data. So the only sources I put in there, I put in the the word test. Right? So then when I say, tell me how to play cribbage, it's probably just gonna say, yo, can't do that. It's not in it's not in my data. Right? So I say, tell me how to play cribbage and it says, the sources you provide do not contain information on how to play cribbage. Okay.

Jordan Wilson [00:30:48]:
So here's what we're gonna do. Here's what we're gonna do, y'all. Alright. So I'm in YouTube now. I'm gonna say how to play cribbage. Okay. So for a YouTube video, it needs to have captions enabled. And again, I'm gonna say this one more time, because people are gonna be like, oh, Jordan, you're using, you know, you're using information on the Internet that, you know, you might not have access to.

Jordan Wilson [00:31:11]:
Guess what? It's all in large language models. It's all in large language models. Alright? Just putting that out there. So like I said, you can't do one thing with your left hand and then judge your right hand. Alright. So I'm gonna copy the link address to this YouTube video. Alright. And hey, can can can y'all let me know? Can you see see my screen? I hate I hate doing these things live.

Jordan Wilson [00:31:33]:
Alright. So now we're jumping back in and we'll see if this video is allowed. So I'm going to YouTube now, so I'm going to add a source and I have the first video that came up when it said, here's how to play cribbage. I'm gonna insert it. It may or may not work because it needs, it needs a text transcript and also it needs to be a public YouTube video. So we might have to try a couple. This might not even work. So let's see.

Jordan Wilson [00:31:57]:
Alright. Perfect. The first one actually worked. Alright. So there we go. We have a YouTube video. Okay. So now I'm gonna do something else.

Jordan Wilson [00:32:07]:
I'm gonna go how to play cribbage. I'm gonna bring in a couple other sources. Okay. So now I'm on the Internet. Here's some website. Okay. So from bicycle playing cards, I'm gonna copy this, this URL and then I'm gonna jump back into my notebook. I'm gonna add a source on the left hand side.

Jordan Wilson [00:32:27]:
I'm gonna click website. I'm gonna put that website in there. This may or may not work. We'll see. Alright. Cool. It worked. So now we have 2 sources, you know, and you can rename these sources.

Jordan Wilson [00:32:40]:
So I'm gonna say I'm gonna rename this to bicycle. So cribbage by bicycle, so I can remember. Alright. There we go. And let's do one more just so we can see that you can pull in information from all different places. So now I'm going to copy and paste some information. I'm gonna go one one more. So here we go.

Jordan Wilson [00:33:00]:
Here's this, beginner's guide to cribbage. Alright. Cool. Here we go. I'm gonna copy and paste all this information. So this is from, Instructables. I'm gonna go to sources, add new, go to copy text, paste it in, insert it. Alright.

Jordan Wilson [00:33:17]:
And then over here on the left hand side, this is important, name your sources. Alright. So I'm gonna rename this one and this is, Instructables cribbage. Y'all, if there's one thing I hate, I hate typing live on the show because the way my desk is is set up, I'm like crammed and I got my little T Rex arms. Right? Okay. And I'm actually gonna do one more thing. I want to provide a little bit of information, to NotebookLM on what a project manager is. Alright? So I'm gonna go to project manager.

Jordan Wilson [00:33:58]:
So I'm just saying, what does a project manager do? Alright. Here we go. I'm getting a Google AI overview. Alright. Let's do this. Let's go to what does a project manager do. Here we go from teamwork.com. I'm gonna grab this URL.

Jordan Wilson [00:34:16]:
I'm gonna go into our notebook. I also am gonna name our notebook. Okay. To cribbage. I'm gonna add this one more source as a website. Let's see if this one works. Perfect. Alright.

Jordan Wilson [00:34:28]:
So now we have 4 sources. Okay. So we have some copy and paste text. We have a couple of websites, and we have a YouTube video. Okay. So now let's go ahead. I'm gonna generate this right away. Okay? So, I'm gonna show you because I'm gonna hopefully play the difference so you can see, how these this audio overview works.

Jordan Wilson [00:34:55]:
So right away, I went ahead and, started to generate the audio overview. Alright. And this one's gonna take a couple of minutes. It might take, you know, 3 to 5 minutes. So I probably should have done this a little sooner because I also want to show you all, how you can, kind of, change this and you can influence it. So the way that NotebookLM talked about this is they said it's like passing a note. Right? So it's like passing a note. So think, you know, you have your 2 AI podcast, you know, hosts, and this new customized feature is like passing them a note on what they can or can't do.

Jordan Wilson [00:35:35]:
Alright. So this is why at first, I want to show you kind of the the default, podcast that will happen. Because right now, it's just gonna use all of the different information in there, and it's gonna use its own kind of algorithms to determine what should the audio overview actually be. And this one might not turn out the best. Why? Because the source information is a little mixed. Right? It's gonna see 3 sources on how to play cribbage, and then it's gonna see something about project managers. So, we're probably not gonna listen to the entire, AI overview because it's probably gonna be a little it's gonna be some mixed results. Right? It might be it might still work.

Jordan Wilson [00:36:20]:
It might kind of understand, okay, well, it looks like they're trying to learn cribbage and it also looks like there's some information about project managers. So maybe they're trying to teach project managers cribbage, but maybe not. Alright. So here's what we're going to do next. We're gonna let that go. Alright. We're gonna let that, kind of warm up here. It's gonna take a minute.

Jordan Wilson [00:36:43]:
And then let's go ahead and start typing up. We're gonna start typing up our customized instructions. So we're gonna do a test. Alright? Again, so we're passing the note here. Alright. We're passing the note, and I'm gonna do my best to keep my eye on our notebook, and once the AI overview is done. And you know what? We do this live, y'all. It can be all over the place.

Jordan Wilson [00:37:14]:
So if you have any questions about about NotebookLM, get them in now because, when we regenerate our second podcast, I might have 3 minutes to kill. Alright. So I'll I'll I'll try to fill it in with some facts and show you around other parts of, of the notebook, and and some other features, which I think are great. But you might as well get your questions in livestream audience, and and hopefully I can help, get some education going, as we as we go along. So let's work on some of these instructions, and I wanna test them. Alright. And I'll say this. I did a a quick reaction video yesterday, and I'll say this.

Jordan Wilson [00:37:59]:
Working in text very, very rarely get any hallucinations. Okay? And previously, when you left the AI host, to their own accord, right, they were very accurate for the most part. So I did find maybe this is some bugs yesterday, but I actually got some hallucinations in the deep dive audio. Alright? Not in the normal text. Right? That was still a 100% super stellar. So I don't know if by allowing users, a little more freedom to steer the AI audio overview, if this is causing maybe some problems with accuracy. So as an example, yesterday, I did the video. I'll just tell you the quick takeaway.

Jordan Wilson [00:38:44]:
What happened was I uploaded a bunch of different sources. One of them was AVM, which was advanced voice mode. And all of that was the transcript of, of a podcast that I did on ChatGPT's advanced voice mode. And I asked, the audio overview. I gave it some custom, you know, some of those custom instructions to customize, the deep dive, and it made a lot of stuff up. It said AVM was an AI company and it said, oh, it's working with agents and it's not, right? So it struggled, right? It struggled a little bit. So, you know, always keep that in mind. You always need human in the loop and just because this does great and it's a hunt in in in my experience, I've very rarely seen any hallucinations in text.

Jordan Wilson [00:39:28]:
Right? But with this new introduction of kind of this steerable, audio overview, at least in my limited use case, I mean, it hasn't even been out for 24 hours, it kinda went off the rails just a little bit. Alright. So luckily, we now have our, our first round. So we're gonna do our second one pretty quickly here. We're not gonna listen to this whole thing. It created a 12 minute podcast. Alright? I'm gonna go ahead sorry. I'm gonna put this on like 1.5 and we're just gonna listen just to a little bit.

Jordan Wilson [00:40:01]:
Livestream audience, help me out here. Please let me know if you can hear, this audio. Sometimes, StreamYard, which I use, doesn't stream the audio. So here is the 12 minute podcast, just a little bit, on cribbage. So let's see how it handles this information. Here we go. Alright. Awesome.

Jordan Wilson [00:40:43]:
Cool. You guys said no audio. Love when this happens. Even though I test this all the time, let's try it one more time. Alright. Here we go. Share the audio. Share the audio.

Jordan Wilson [00:40:59]:
Let's try it again. Alright. Take 2. Let me know y'all. This is you know, people always say that that they're like, Jordan, do more demos. Do more demos. Y'all, do you know how hard it is to do demos live when technology hates me? Alright. Here we go.

Jordan Wilson [00:41:25]:
Let me know.

NotebookLM [00:41:25]:
Ready to up your game night.

NotebookLM 2 [00:41:27]:
Because today, we're taking a deep dive into the world of cribbage.

NotebookLM [00:41:31]:
You've shared some fascinating sources with us.

NotebookLM 2 [00:41:33]:
Rule books, strategy guides, even a visual how to.

NotebookLM [00:41:37]:
So by the end of this, you'll be well equipped to impress your friends with your cribbage skills.

NotebookLM 2 [00:41:41]:
What's fascinating about cribbage is that it's not just a game of cards.

NotebookLM [00:41:44]:
It's a game steeped in history and strategy.

NotebookLM 2 [00:41:46]:
It's like a blend of poker face and mathematical puzzle.

NotebookLM [00:41:49]:
All wrapped up in a charmingly old school package.

NotebookLM 2 [00:41:50]:
I love that poker face and mathematical puzzle.

NotebookLM [00:41:52]:
Speaking of old school, our journey starts back in the 1600.

NotebookLM 2 [00:41:54]:
With the poet, sir John Suckling.

NotebookLM [00:41:56]:
Who apparently had a penchant for gambling and inventing card games.

NotebookLM 2 [00:41:58]:
He did, and quite a legacy he left behind.

NotebookLM [00:42:00]:
Imagine a smoky pub, Tancred's clinking.

NotebookLM 2 [00:42:02]:
And this poet gambler introducing his new creation.

NotebookLM [00:42:04]:
Cribbage, which actually evolved from a game called, Naughty. Naughty.

NotebookLM 2 [00:42:07]:
It does have a certain ring to it.

NotebookLM [00:42:08]:
Maybe sir John

Jordan Wilson [00:42:09]:
Okay. So I ramped up the speed there. So you'll you'll see it didn't do anything with the project managers, right, which is fine. It's actually probably better. It kind of, probably realized, oh, okay. One of these things looks out of place. Alright. So now here's what we're gonna do, and I was adjusting the speed a little bit.

Jordan Wilson [00:42:27]:
Here's a little here's a little tip y'all. Right now you cannot duplicate notebooks. So you might spend a ton of time, getting all this, you know, everything in a notebook and all your different sources. Delete. Right? People don't know this. You can delete the audio overview and then essentially just regenerate it. Okay? So now I'm gonna go to customize and we're just gonna customize this slightly. So I'm gonna say please start the deep dive audio.

Jordan Wilson [00:42:52]:
So again, this is the the new feature. Everyone's talking about this, you know, kind of passing a note to the host. So I'm gonna say please start the deep dive audio overview with, a, intro to project managers and why they should learn cribbage. I'm gonna say, please start with a shocking fact that grabs attention and a funny joke. Alright? And then I'm gonna say, please have the host be, I'm gonna say, witty, and then I'm gonna say, please have the host avoid platitudes, truisms, cliches, and generalities. Do not use space fillers or needless jargon. Make sure all words mean something. And I'm gonna say, please end the deep dive audio overview with I'm gonna say an analogy.

Jordan Wilson [00:43:59]:
No. I'm gonna say with a I tried this yesterday. It didn't really work. So I'm gonna say with a pirate joke that resonates with, project managers trying to learn cribbage. So this is incredibly difficult. So I know it's gonna take a second, so let's just go straight in. Let's start let's start generating this. All right, so now when I go to customize, I can just paste in all that information.

Jordan Wilson [00:44:29]:
All right, cool. It's not letting me generate. It might just be too long. Let's see. Okay, so I'm gonna delete this. So I'm gonna have to delete that part about having the host avoid, platitudes, cliches, all that. Alright. So now it's generating.

Jordan Wilson [00:44:46]:
Alright. So now, what I'm gonna do is I'm going to show you some of the other features. If if there weren't any questions. Let me just double check. Let me double check here. Okay. So Leslie asking, is there a current limit on how long the podcast can be? Great question, Leslie. So, you don't have a ton of leeway in the length.

Jordan Wilson [00:45:14]:
So, you can try with the new customizable instructions. I try to make some shorter. I'd say generally depending on how much source information you have, it's gonna last anywhere from like 6 to 15 minutes by default. I tried with this customized, customizable feature yesterday. I I was trying to create a shorter one. I got it down to, like, 3 minutes. So, I don't think as an example, you can create an hour long podcast off of, you you know, 10,000,000 words. I haven't, specifically tried to make a very, very long podcast off a lot of words.

Jordan Wilson [00:45:48]:
But, you know, who knows? Maybe maybe that's what I'll do, next week. Tara says it would be amazing if NotebookLM would save these as curated by blank, similar to perplexities pages. Yeah. It's actually a great point that Tara brings up. And I have mixed feelings about this because you have these, I'll say this. You have these very visible, and influential people in tech now who are essentially just releasing podcasts, right, on Spotify and everywhere else and not very well done. You know, they're just, you know, releasing these, you know, 10, 15, 30 part series using AI and using these hosts. So, yeah, I wish I actually wish you couldn't download these because right now you can download them, which is, you know, great use cases.

Jordan Wilson [00:46:34]:
Right? So you can take it on the go. You don't need to be connected on the Internet. You know, I'm gonna be doing some traveling, so I might download some of these and listen to them on on the plane. But, you know, the downside is now people are just spamming. Right? Literally, there are thousands of these podcasts now, and you can tell because it's the same two voice, voices, but you essentially have, you know, popular, you know, quote unquote highly visible people, people with large audiences just releasing this, which, I mean, like I said, there's good parts of that and there's bad parts. But I think, unfortunately, we're gonna get spammed. So if you are a podcast fan, you're gonna get spammed with a lot of these podcasts. And I wouldn't be surprised if even some of the top podcasts.

Jordan Wilson [00:47:17]:
Right? I just realized this because, thanks to you all. Everyday AI is usually a top 10 podcast, in the US on Spotify for tech podcasts, and there's like 90,000. And I saw the other day, there's a bunch of now just AI generated podcasts up there. And I'm like, and there's people with, like, big followings and it's like, okay. Part of it, it's like, okay. I can see that, but part of me is like, oh, man. That's that's terrible. Right? Alright.

Jordan Wilson [00:47:41]:
Anyways, we got our 2nd podcast done already. Thankfully, I don't have to keep, you know, trudging on here. So again, as a reminder, I said please start the deep dive overview with an intro to project managers and why they should learn cribbage. Please start with a shocking fact that grabs attention in a funny joke. Alright. And then I said, please end with a pirate joke that resonates. So we're essentially gonna see how how much can you steer. How much can you actually steer this thing? Alright.

Jordan Wilson [00:48:09]:
So let's go ahead and take a quick listen. And, again, please let me know, audience, if we can hear this. Here we go.

NotebookLM 2 [00:48:16]:
Ever heard of a perfect 29? It's a cribbage score. So rare. You're practically guaranteed to see a unicorn riding a unicycle on a rainbow before you ever achieve it in real life. But more on that later. We're diving into the wild world of cribbage today. And you might be thinking, cribbage? Isn't that a game for, well, let's just say folks who enjoy a leisurely pace?

NotebookLM [00:48:37]:
That might be the common perception, but you'd be surprised.

NotebookLM 2 [00:48:40]:
Exactly. Because today's deep dive is for all you project managers out there. Juggling deadlines, resources, and expectations like a DAS. We're gonna show you how this centuries old card game is practically project management boot camp in disguise. We've got our trusty cribbage by bicycle guide, a how to play cribbage video by gather together games, and even an instructables article for those who like to learn by doing.

NotebookLM [00:48:59]:
Quite the stack of sources. Yeah. What's fascinating is that while cribbage might seem like a simple card game, it's been around for centuries. Cribbage by bicycle tells us it evolved.

Jordan Wilson [00:49:05]:
Alright. So, again, I I crank the speed up there so we can double check and, let's just listen to the beginning one more time because it actually hit, our what we told it to. We said, hey. Start with a funny joke, or a shocking fact, the combination, and then talk to project managers on why they need to learn cribbage. Let's listen one more time just to the first, couple seconds.

NotebookLM 2 [00:49:26]:
Ever heard of a perfect 29? It's a cribbage score. So rare. You're practically guaranteed to see a unicorn riding a unicycle and a rainbow before you ever achieve it in real life. But more on that later. We're diving into the wild world of cribbage today. And you might be thinking, cribbage? Isn't that a game for, well, let's just say folks who enjoy a leisurely pace?

NotebookLM [00:49:42]:
That might be the common perception, but you'd be surprised.

NotebookLM 2 [00:49:44]:
Exactly. Because today's deep dive is for all you project managers out there, juggling deadlines, resources, and expectations like a DAS. We're gonna show you how this centuries old card game is practically project management boot camp in disguise.

Jordan Wilson [00:49:59]:
That's wild. Right? It hit it. Right? The instructions are a little limited, so you can't put in, like, pages. I'll have to do a character count, but it looks like you could do, about maybe, a 100, a 150 words of instructions. So, pretty impressive. Let's see if it ended. So I said, please end the deep dive audio overview with a pirate joke that resonates with project managers trying to learn cribbage. Very specific.

Jordan Wilson [00:50:29]:
Alright. Let's see if it, I'm gonna go to the last maybe, 30 seconds here, and let's see if we can pick it up. And, again, I'm playing this between 12 and 15 speed just so we can get through it.

NotebookLM [00:50:39]:
You might even discover a hidden talent for counting by 15s.

NotebookLM 2 [00:50:42]:
And let's be honest. After a long day of don charts and stakeholder meetings, a little cribbage could be the perfect way to unwind and flex those mental muscles in a whole new way.

NotebookLM [00:50:48]:
Indeed. Though as you play, I challenge you to consider this. Do your cribbage strategies reflect your project management style? Are you a bold player going for big risks and bigger rewards, or are you more calculated and methodical in your approach?

NotebookLM 2 [00:50:57]:
Oh, that's a good one. It's like holding up a mirror to your decision making style but in a fun low stakes setting.

NotebookLM [00:51:01]:
And, hey, even if you don't become the next cribbage champion of the world, you'll gain valuable insights that you can apply to your projects and maybe even impress your team with your newfound card playing prowess. So that wraps up our deep dive into the world of Cribbage. We hope you've enjoyed this journey through the

NotebookLM 2 [00:51:12]:
history All you project managers out there.

Jordan Wilson [00:51:13]:
I didn't see it in the last, like, 30 seconds.

NotebookLM 2 [00:51:15]:
I have one question. Are you ready to add a secret weapon to your project management toolkit? Cribbage might seem like an unlikely hero, but trust me, it's more than just a game.

NotebookLM [00:51:22]:
It's a fun, engaging way to sharpen the

Jordan Wilson [00:51:24]:
Alright. I'll have to go through and listen to this, the the the full thing here, but I didn't, on first glance, see the ending, pirate joke. So maybe it kind of lost track there. But, I'll make sure to go ahead and recap this all in the newsletter. So, let's wrap this one up. And, live stream audience, what did you think? And I I I hope I don't need to explain this to you. Right? But I I hope you can already see the enormous potential. Right? I think an easy part is learning new subjects.

Jordan Wilson [00:51:57]:
Right? So let's say you're a project manager, and let's say you need to learn about a new client. You need to learn about a new skill set, there's a new technology in your field and you're a project manager, right? Being able to upload that information, you know, you can have a source that's about yourself. You know, you could upload a source that's your, as an example, your desk profile. You know, so you can upload source information about yourself and then you can upload, source information about whatever project, new project you're working on, about a new technology you're trying to learn, about some new news that's impacting your industry, and then in the customizable instructions, you just tie it together. Right? And then, well, that's one thing AI is great at is personalized learning. But when you can ground it in facts and stats that are relevant to you, that's when I think we I think this is a bigger moment than the initial ChatGPT. Because now this is your data and it's personalized to you. And like I said, you know, the I think the customizable audio overviews, you know, there's probably gonna be some bugs early on because it when I mean, when you think about it, it's actually wild technology.

Jordan Wilson [00:53:13]:
So, you know, it had some troubles when I did some testing yesterday and had some hallucinations. So this isn't something that I think right now, you should be hands off the wheel and just trust that every single thing is going to be correct. So, you know, you get still gotta do your due diligence. Still needs to be human in the loop. Right? But at least when working with the actual, information here. Very good. So I told you I would I would quickly show you around the rest. I'm gonna do, like, a 30 second overview.

Jordan Wilson [00:53:40]:
Alright. So even when you listen to this,

NotebookLM 2 [00:53:42]:
single lines for your

Jordan Wilson [00:53:43]:
You can continue to work with

NotebookLM 2 [00:53:44]:
source timelines, stakeholder buying, and all shebang.

NotebookLM [00:53:46]:
You need a very specific combination of cards. Generate all these different card and the other 3 fives and the jack of clubs.

Jordan Wilson [00:53:50]:
I know that'll be hard to hear, but, just to show you, you can listen, to the audio overview and continue to use other parts of NotebookLM. So you can click and create these little notes, right? So an FAQ, a study guide, a table of contents, a timeline, right? You can create these all with one click. And then I can also go in here and, chat. So I can say, you know, tell me the 3 most important tips tips for a project manager to learn cribbage. Okay? And then I click enter. Because I do need to show you kind of one of the most, okay. Interesting. So it says this question cannot be answered from the given source.

Jordan Wilson [00:54:31]:
Okay. So it actually can't combine technically, I didn't in my source material, even though there's information about project managers and there's information about learning to play cribbage. This is a good example. There's no stats or facts in there specifically on how project managers can learn cribbage. So when I said tell me the 3 most important tips for a project manager to learn cribbage, it can't tell me. So now I'm gonna do the same thing. Alright. So I'm gonna do the same thing, and I'm gonna say, tell me the 3 most important tips to learn cribbage, and now it should tell me.

Jordan Wilson [00:55:05]:
Let's see. Alright. So, there we go. So now it's saying here are the 3 most important tips to learn cribbage. That's a great example on how it's not going to infer, it's not going to make things up when you are, working on the text version, right, when you are chatting with your notebook. Alright. So the good thing is is you can go and click the sources. So it's saying, you know, hey, the 3 most important things are under understand the scoring combinations, master the paging system, strategize your discards, and then it has little citations for each one.

Jordan Wilson [00:55:40]:
So for the first one, understand the scoring combinations, I can click. Right? So here's citation 1, and then it takes me to the source. This was the cribbage by bicycle, and then it highlights. So it takes me to that source and it highlights it. So, you know, you can always have a level of confidence. I can click number 2. That's in the same source. Let me click number 5.

Jordan Wilson [00:55:58]:
So a lot of this is from the same source. That's okay. It's probably the best source, I'm guessing. So, yeah. At least in this question, it took everything from the same source. That's okay. So now if I wanna save this, because if I come back it's gonna be gone, I can just click this save to note. Alright.

Jordan Wilson [00:56:16]:
So then you can toggle your kind of notebook guide on, and then you can toggle the view chat or close chat, And then here's all of my notes. Right? Here's all of my saved notes. So here's the one that I just generated, the FAQ, the timeline, you know, those are default options, and then the question that I asked and then I saved it as a note. So now when I go back, you know, I'll still have all of my sources. I'll have my saved notes, but this chat history will be gone. So a little different than a standard large language model. So, I hope this was helpful. I know this was a long one.

Jordan Wilson [00:56:49]:
So if this was helpful, please let me know. It takes us many, many hours to plan shows that I hope are helpful for you and your career. So, if you're listening, whether on on Twitter or, LinkedIn, please click that repost or share button. Share this with your network. That would mean a lot. If you're listening on the podcast, please leave us a rating. Subscribe to the show, and go to your everydayai.com. Sign up for that free daily newsletter, and we'll see you back for more AI in 5.

Jordan Wilson [00:57:17]:
Thanks, y'all.