I ❤️ AI Q&A: Leading Machines & Humans, 3 Core Challenges of Scaling AI & Creating Content w/ Gamma

I don't know what it's going to do. I don't know what live stream it's doing. I have no idea what the settings are. We'll see what happens. But it took us to YouTube, so we are good to go. Welcome everyone! I hope this is going live places. We'll see. I'll like go check it out, see if we are happening in all the places that we want to be. Let's see. Oh, I think there's like an option. Let me go here. Oh yeah, there we are! It's happening right now. Oh, I think it might only be on YouTube. We are— oh dear, oopsie! Can you hear that? Oh gosh. All right, so I'm gonna close this down. Oh, I see. All right, I have to like turn this down. Hold on, hold on. Um, all right, it's happening right now. Oh, I think it might— oh, I can't do that. Oh my gosh, now I'm like— let's just— down. There we go. Oh no, I have to close this one. Okay, sorry, I was like in Inception with multiple versions of me. I was very distracting. Okay, so I'm going to try and go back into Restream and hopefully not play myself. And this time, uh, where is it working? Oh yeah, there I am. Okay. Oh, it seems to be thinking. Okay, we're good. So now I think I can open up the chat. Let's see here. There we go. Copy. I'm gonna open up the chat so I can see all the chats happening across all the platforms. What's up, my friends? Is there glitter? There's like some glitter on my head somewhere, you know, whatever. Um, all right, so if you're here, uh, obviously I see you all in the, in the Zoom, so thanks for being here. Wonderful to see you. Um, and if you are seeing this live on some other channel, uh, you can always be here in the Zoom with us if you'd like, uh, just by joining the I Love AI community, which is free and fun, uh, and very easy to find. You just go to noelle.ai and that's where it is. So come join us. It does require you to register and I have to accept you and I won't be doing that because I will be here. So don't do it today. Today you can listen, uh, from wherever you are, but welcome. Happy Friday. I am so excited to be here. I just literally just landed prior to the AI leadership call we just did. I just landed from Charlotte like a few minutes ago, um, before our first call, uh, today. And yeah, I mean, my goodness, lots of things going on. I was in Charlotte yesterday for the kickoff of Charlotte Shout, which if you're not familiar, um, it is the Ideas Arts and Music Festival, um, that happens actually across the US. There's lots of cities that do this Ideas Festival. And I was the keynote at Charlotte's version. So that was really exciting. Got an opportunity. It was really neat. I was the closing keynote of the session, which was an evening session, not something I'm typically used to doing. However, it was so neat because prior to me there was an amazing award-winning Grammy artist that was there. His name was Blues. So cool. There was a fashion show. There was an American Idol winning, chorus that was there. It was just so really, really neat. Um, so it felt a lot like South by Southwest in Sydney and Austin, which I have spoken at both of those events. Uh, and it, it felt very much like that vibe of like just creativity and energy and excitement. So I was really honored to be part of that. Um, of course you all know this week, very important week on Tuesday, April 1st. My book finally became available for purchase on Amazon, which means that it will start shipping to you very soon if it has not already gotten to you. And I will encourage you to go ahead and do as some of my friends have done. Take a picture with your book. I'm creating a little wall of people who have my book, who were nice enough to send it to me. I would love to celebrate you on that wall. So just send me a picture of you and be like, hey, I do this for every book I buy. I do the same thing. I take a picture of me with the book, um, especially if I know the author and I will send it to them. Or I will forget to send it to them, but I always take the picture. So I think it's, it's kind of fun, you know, because we're, we're all living the dream. And this is certainly part of my dream that has come true recently. So this is what it looks like. Hello, Scaling Responsible AI. So now when I go and do an event, I can be like, I wrote the book on Scaling Responsible AI, like literally. Yay. So really fun. Uh, of course I started to re-go through it because I've never had a chance to actually read it cover to cover. I wrote it chapter by chapter, so I've never seen it kind of all put together. So I started reading it. I'm on like chapter 3, I think. Um, so really cool. And a shout out to my I Love AI community. You will find yourselves listed right here on page IX, um, where I have my acknowledgments. And you can see they've got a little emoji in there. I remember when I published it, they're like, are you sure you want the heart emoji? I'm like, yes. Yes, that's who we are. So the I Love, thanks to my incredible members of my I Love AI community. You are the heartbeat that keeps me inspired moving forward in the ever-evolving world of AI. So true. So anyway, really exciting. I cannot wait for you all to hear because I only, you know, I do a lot of keynotes. I share, this book was written based on the things I say all the time. So many of you have been following me for a while. You're not gonna like, you know, I mean, there's some new stuff in there, but a lot of it's kind of like what I say all the time to people, what I've been saying for a decade. Um, and that's how the book journey started was, uh, the people at Wiley were like, hey, we heard you do a keynote. We heard it was really great. We would love for you to write a book on that. And I was like, great. That's the only book I really could write is one that I speak. So, but, uh, but of course after that, and an editor got involved, they were like, okay, I love that you say this, but you need to write it different than you say it. So it does sound a little different. Because I had to add some extra words in there. But, but stories are in there. It's really fun. So I'd love to hear your perspective. Today I'm gonna focus on the first chapter, which is Lead AI, and it's actually the new keynote that I do called Scaling Responsible AI: From Enthusiasm to Execution, the name of the book. But I've been doing this keynote now for a little over a year, and I've gotten such really positive feedback So I wanted to share with you a little bit about that. I won't go through the whole framework, but give you kind of a highlight reel of why that chapter, why it's chapter 1, why it starts it off. I really think about artificial intelligence in a couple different ways. The first way is kind of this concept of day 1 versus day 2. And I learned this, or maybe got the, the essence of it as I started to build AI systems in the last like 4 or 5 years. That the first, when I first start building these systems with companies and I help them figure out what they're gonna build and how they're gonna build it, it's fascinating to me because, you know, it's very exciting, right? When you build AI into an, into an organization that has not used it before, many of you know this, and if you don't, you'll know it soon as you start your AI journey here. But like, as soon as you start building stuff, like it does things that were perceived to be hard or have friction or, be impossible or take a long time. And all of those like mental concepts kind of break down in the world of AI when you actually find the right use case to build at the right time for the right customer. And what I've— so I built this concept of Lead AI knowing that there's kind of this day one thing that happens, which is why I use— I think he's still in my suitcase, but I'll use this little guy. He's so fluffy. Um, which is why I talk about baby tigers. Like day one is baby tiger mode. It's like, Cute little AI models doing very novel things. Everyone's excited. It's amazing. Doing a pretty good job. You know, it's generating answers that are kind of mediocre, maybe even great, but like not perfect. Uh, sometimes there's model errors or confabulations as we talked about in our last call. But on day one, we're often kind of just enamored with the idea that we can ask and the model will do, right? We can say it with our words and based on how clear our thinking is and what we want, a machine learning model will give us an answer that's pretty plausible that we look at and go, wow, that's not terrible. I actually kind of love this. And, um, it, but however, what we often find is that there is this beautiful baby tiger period that everything's exciting, it's working, we're seeing metrics change, we're seeing massive potential revenue or cost savings, but nobody's really asking the question about day 2. Nobody's really even looking over the wall to day 2, cuz day 2 is all about like, what happens when more people start to use this system? What happens at scale? And I have become very passionate about this moment, this, transformation that needs to happen in a company to go from baby tiger mode to kind of big tiger mode. And I talk about it in the book and the 4 concepts, well, technically I guess 6 concepts that are necessary to think about. I framed in this concept known as LEAD AI or this acronym, right? So this acronym, of course, acronyms, I mean, I was raised at IBM, that was my first company. I was there 12 years. So acronyms are like in my DNA now. Um, But this concept of Lead AI, it felt very natural. It's one of those things that when it came to me, I wrote it down like my 5 Ps of prompt engineering or the 6 Ps of building an AI consultancy. Like, it just hits you and you're like, ooh, there it is, right? So I wrote this down. But the first L is really important. That's what I'm gonna focus on today. And then next week we'll go through the next one. But today I wanna focus on the first L because there's some cool stuff going on with it. Uh, the first L stands for leadership and how important it is that we understand how leadership is changing in the world of AI inside companies. And what I mean by that is that no matter whether you have a human reporting to you and whether you have to lead a team of humans, you definitely are gonna be leading a team of machines. As a matter of fact, whether you know it or not, you're leading a team of machines. Right now. There are AI systems involved in software that you're using every day unless you're off the grid, in which case you are not listening to me right now, right? But if you are interacting with software, chances are there's an AI model at work and might likely could use some leadership from you on how it's supposed to do its job. So leadership is thinking about the concept of leadership and what it means to be a good leader, but not really like saying, Oh, I don't need to worry about that cuz I don't have anyone reporting to me, or I don't lead a company, I don't have employees. It's very different now. Like being a good leader, there's characteristics of being a good leader, which I'll share with you today. And those characteristics are necessary as you move into a world where machines are gonna look for you to guide them on how to do the right thing at the right time. And so I created, this is kind of what I do for those of you who don't know me, many of you do, uh, but for those of you who don't, I kind of get these ideas and then I write it on a whiteboard and poof, it exists in the world. So a few years ago, uh, I guess, yeah, right about 3 years ago, I'm sitting in my other, a different house, different. You'll see some of my videos. I'm in that office. Um, and I get this idea because I was reading, and I don't think I have it in my bookshelf. I'm trying to take a look through the video, but, um, I get this idea cuz I'm reading the biography of Benjamin, autobiography, I think, of Benjamin Franklin. And at the end of In his autobiography, he does something really cool. He creates a 12-week kind of personal professional development program based on 12 key principles. And he basically says, if you go through this 12 weeks, 12 weeks is a quarter. You go through it 4 times a year. You're gonna spend 1 week on each principle. And that means you're gonna spend 4 weeks a year focused on this principle and that there are 12 of them. So you'll just repeat this process throughout the year and you'll constantly be getting better and better and better. And of course I was like, oh my gosh, I love this idea. But I didn't resonate exactly with the principles that he was talking about. I had my own. I mean, some you would know them if I, I'm gonna say them and you're gonna be like, oh my gosh, that's so Noelle. But when I wrote them all down and shuffled them a little bit, they made The first thing I noticed is a 4-letter word, not that kind, but the word LAMP, L-A-M-P. And it stood for leadership, ambition, me, me, me, mindfulness, and purpose. Me, like I am ambitious, but I'm intentional. I am very interested in, you know, I think the first one actually is love. It was love, ambition, mindfulness, purpose. And I was like, as soon as that hit me, I'm like, oh my gosh, how do these other words play in? And so I shuffled them around a little bit. This is all before ChatGPT, so I didn't have the luxury of being like, ChatGPT, make me an acronym. Um, I kind of just worked with it a little bit because I found the word lamp, and lamp was special to me. Well, in a book that led me to the autobiography of Benjamin Franklin was this book. I do think I have this in here. Maybe. Yes, here it is. Oh my gosh, I love this book. You will see, you could tell some of my books, like how old they are by like how broken the binds are and how like brown the edges are. But look, and my bookmark is at the end. That says something. But this is a book, How I Raised Myself from Failure to Success in Selling. And it does not matter if you are a seller, if you are technical, if you're an engineer, a user experience, I was saying this to the, to our AI Leadership Institute members. Um, every, every conversation is a sale. Every conversation. And I read a book recently and the title of it was Sell or Be Sold. And what that means is that in every conversation you're either selling someone on an idea or a product or a service or an idea, um, or they're selling you. So if you're, for example, me, like with my family, Right? I'm selling them on this idea that, hey, if when I go travel, it doesn't mean I don't love you. I love you, but I need to, you know, I'm supporting this family through this work. I'm selling them on the idea that that is good for them, but they could sell me on the idea that I'm hurting them and they are sad and they do not want me to do that. Thank goodness they don't do that to me. But I, I would buy that, right? Like I would, the transaction would shift from me being like, I'm doing this for us and it's gonna be amazing to, Oh no, like I bought that idea. And so in every conversation, in every interaction, even right now, right? I'm saying things to you that I'm hoping that you will be like, I'll try that on. I'll think about that. That's interesting. Um, but there is a transaction that kind of happens in, in these conversations. And so in this book, at the very end, he talks about Benjamin Franklin's autobiography. Um, and I can't remember why. I'll see if I can find it really quickly, but he talks about it and it inspired me to read it. But when I— oh yeah, here it was. But at the very end of the book, he talks about a concept, but he was literally talking about— I don't know when this book was written. It was— it's relatively old. Let's see. Um, 1947. Okay, so 1947, but it's not near this time. But anyway, the anecdote he tells is about lamplighters. Like the people who had this profession back in like the 1800s before electricity, or at least before street electricity, which doesn't necessarily mean before houses. But the idea was he was like, as a kid, he would sit in the windowsill and he would watch the lamplighter light these oil lamps and he would climb up the ladder and they'd light the lamp and he'd climb down and he would just be mesmerized by it. Like, and this, lamp lighter would go to the next one and then the next one. But what he had noticed was that long after he lost sight of the human doing the work, the light that would turn on was easy to see, that the light left behind by the lamp lighter created this gorgeous path of light to wherever. And as a little kid, he was like, I wonder where that goes. It created opportunity. And so in me reading this, I was like, oh my gosh, I love this analogy. So I relooked at my words and realized that they spelled out Lamp Lighters. And it was one of those moments where you're like, what? And I think there was like, I maybe had two H's and so I ended up dropping one, but like all the letters were there. And so it stood for love being number one, ambition, Mindfulness, purpose. Now I have to think about the letter leadership. Right now we're in I, imagination, gratitude, right? Harmony. This is my take on work-life balance cuz people always ask me, how do you balance it all? And I was like, I don't balance anything. It's integrated, it's harmonious. Um, HT is trust. And E is enthusiasm, of course. I would be remiss if I didn't have enthusiasm on there. It was zeal. When I wrote it down, I wrote the word zeal, which is a word I learned as a child that meant like zealous or excited. And so I turned it into enthusiasm in order to like hit my acronym. R, right? E, yeah. Enthusiasm. R is for resilience. And S is for success. And so I get this idea, and this is what I do. I get— and you, some of you have seen my digital whiteboard. I digital whiteboard out all of those things. Let me see if I have it here. Um, I might have it here somewhere. I'm gonna see if I can find it. Oh boy, let's see. I might have taken it out. I might have it upstairs. I have 2 offices, so I don't see it here, but I have a book That day, and I carry it around with me because I, it's cool, but I have a Moleskine notebook. And that day in the Moleskine notebook, I wrote all of these out. And then I wrote my initial thoughts on each one of those. And as a result of writing out those 12 principles and my initial thoughts on each principle, I was like, this could be a podcast. And so I started a podcast, you know, uh, so I started a podcast called The Lamplighter Effect. I wrote the draft of a book called The Lamplighter Effect. But the most important thing I realized was that these principles, when all put together— love, ambition, mindfulness, purpose, right? Leadership, imagination, right? Gratitude. Like all of these harmony, all these things. When you put them together, they were— they energized me because I was like, this is all things that I work towards. Like that, I— that balance out my existence. It's like the— I don't know how many of you have done this before, this wheel thing. It's called like the Life Wheel or Wheel of Life. You can Google it, go to the Wheel of Life, Google it, Bing it, Perplexity it, um, and it'll show you. It's like a wheel and you rate yourself on these, on the principles. And in that case, it's like, how would you rate yourself in your personal relationships? In your spirituality, in your finances, in your business life, in your marriage, with your kids, like all of these different layers. And the idea is that you get to a high level of excellence in all of them. So you have this well-rounded wheel. But most of us, when we start this exercise, like the wheel won't turn. It's like very jagged. Like I am rocking my career, but my kids don't know my name, right? Like that kind of stuff. And I've been there. That is not currently my state, but that I've been there. And so, and sometimes it is, right? Sometimes I come home and I'm like, I, I need, I don't wanna travel anymore. I don't wanna leave my kids. I just want to be with them all the time. Um, but this is what harmony looks like, right? This is the, and the most important part about that is that I become aware of it. So leadership as part of this Lead AI framework is a critical moment where you introspective about how do you think about these things. Holy mama, what is happening? Sorry, my phone is ringing. So as a result of that, it, it's like this level of awareness that I got on like, okay, how am I showing up in this moment as a leader? But what I realize is that as a prompt engineer, as someone telling a machine what to do, that these 12 different personas, which you'll see them described I tried to be short about it cuz not everybody wanted, you know, it wasn't a leadership book to begin with. Um, but I, I gave you a summary in the first chapter of these leadership principles and how they relate to each other. And what I tried to do was demonstrate something that I learned at Amazon, which is Amazon has 14 leadership principles, not correlated at all to like what I learned in this book or with Benjamin Franklin, but they have 14 and. But those 14 often live in tension, which means that at any given time, right, being loving and being ambitious could kind of be at odds with each other, right? Like, or being mindful or purposeful and ambitious, or being in harmony and being in gratitude. Like these things might, it might be hard to do more than one at the same time. That's not exactly true for the 12, but these were things that I started to notice that some of them kind of fit together. And so I, I tried to articulate that in, in the first chapter. But I do think that these principles help you become just better aware of how you're showing up in the world. And many of us long to just be ourselves in the workplace. And here's the good news is that whether you can be yourself in the workplace with humans, you can definitely be yourself. With a machine, right? That it is so nice. Like, I have a son with Down syndrome. I've watched him grow comfortable talking, sharing, interacting with machines because they don't look at him weird if he has to say something a few times. They don't change their tone of voice. They don't get frustrated. You know, I, of course, I have a lot of patience. Lots of people will tell you that's probably one of my superpowers is I have a lot of patience. I don't get frustrated easily. However, Other people don't have that, and I can tell like within a couple interactions, and my son can tell too, that they're like frustrated having to say something slower or take longer or use different words. That's one of the things I say on stage all the time is that as a prompt engineer, if you are a parent, a caregiver, a pet owner, we tend to be better at prompt engineering because we don't get frustrated or impatient kind of changing the way we say something, right? I was recently at the, uh, in Silicon Valley, I went to the video, uh, Silicon Valley Video Summit and it was all about videography and media production. Um, and I shared the same thing, like it's so important to realize like how valuable that, that interaction is to someone who gets resistance from human interaction. And like, my dad is the same way. He has a traumatic brain injury. I don't tell this story anymore, but he has a traumatic brain injury, so he has very little restricted short-term memory. So his long-term memory is pretty good. It's just like 50 First Dates, right? Many people start with like, he— if we do a bunch of things repetitively over time, it'll eventually kind of fall into long-term memory. And so he'll remember it, but it takes a long time for that to happen and there's no guarantee. And sometimes I just think he chooses, like he's got selective remembering because I tell him not to do something and he seems to never remember not to do it. But then there's other things I tell him to do and he remembers to do it all the time. So I don't know, there's something going on there, but that's for another time. That's for another time. But the benefit is, is that a lot of people get very frustrated in, in that, those conversations, right? Where you have to say the same thing over and over again. He doesn't remember what day it is. He doesn't remember if he took his pills. He doesn't remember. If he, you know, went to a doctor appointment. And so it's easy to get frustrated, but guess who never gets frustrated? Or guess what never gets frustrated? Alexa. I love it. Alexa is happy to— ooh, sorry, just kidding. Um, happy to answer his question 50 times in a day. Happy to play the same playlist or the same song 100 times a day. I just gave a feedback to Alexa. I don't know how I did that, but, um, here it is, right? Uh, but it's so— I like, he's right now on the other side of this window and I can— or on the other side of this wall and I can hear him interacting with this device and he— it creates just this frictionless experience. And that was my dream when I got an opportunity to join the Alexa team. That was the vision I had was reduced friction for people who have a lot of friction and not just from systems. But actually from humans that are frustrated to not move faster, talk faster, transact faster. So, so these leadership principles, when we become a better leader, we develop these types of behaviors. We, we become more patient, we become more aware, we become more empathetic, more sympathetic, more compassionate. So in conjunction with that, I don't know if this made it into the book, I can't remember. But in conjunction with that, I created a class like 7 years ago, another, I woke up and was like, oh, I have an idea. Um, and I don't think I, yeah, it's probably, it's in a chapter. I don't know if it's, I don't know. I'll see. Um, but that leadership, I was so passionate about it that I realized that there were like certain principles of mindful leadership. And I learned this because I was, I think it was like 2008. I don't know if y'all remember 2008. There was some crazy stuff happening. And so lots of bad behavior was happening in companies. Um, like the bust.com bubble, whatever. Managers, I mean, I haven't seen it recently and I hope I never see it again, but people yelled at people in the office. I don't know if you, have you ever experienced that where someone actually is yelling at someone in a professional capacity? Like yelling. I remember a VP at a company, I will not say names, to protect the not so innocent, but like yelling where the human was cowering during this moment. I mean, I just, I look back and I'm like, when was, when is that okay? And I wonder if it still happens. I won't, I don't do that. I have zero tolerance for nonsense, but being a leader who does not do that, right? That instead attacks the problem. This is why I like, you know, happy birthday to Microsoft. I'm sure y'all have heard by now, but today is Microsoft's 50th birthday, which is kind of crazy because someone else is almost 50. So that's really cool. But like 50th birthday, it's really interesting to see the CEOs, right? The Microsoft CEOs talk to each other. They just did this Copilot episode. I reposted it on my LinkedIn. That was, um, Ballmer and Gates and Satya Nadella, like, sitting around a table, and they were having, uh, Copilot interview them. And it was really interesting, um, the introspection that Copilot seemed to have on each one of them. I don't know what they do. You know, sometimes it's not like they just put that thing down and start talking to it. Sometimes there's a little bit of crafting to make sure, um, some editing maybe, but it seemed pretty authentic. Uh, but it was really fascinating because I, I wrote in my post today, I don't know that I would've, I mean, I have a do not fly list. There are companies that I have put on a list that I'm like, I won't work for them unless things change. And almost always it's leadership that I'm hoping will change. And so I have a list that's like, okay, these are the companies I will not work for. I'm not gonna share 'em with you because maybe that leadership changes and I don't wanna be known as the comp, the person who did not like that company. But Microsoft was on that list for a very long time in my career, over 15 years. And it was because of the culture. It was the people that I talked to that were there that weren't happy. It was the, uh, the results that they were generating. It was like, it was just not, it wasn't Noelle's vibe. And so Satya Nadella takes over and the company, it took a couple years, but the company's culture started to change. And I of course got very interested in Satya Nadella and his journey. I found out he had also a child with special needs and, and that he was very empathetic as a leader, uh, a servant leader. He was an engineer first and then kind of climbed through the ranks. Like it was so fascinating to me. He turned Microsoft into a company that I would wanna work at. And then of course I did, chose to work there and got a chance to be part of the beginning of Azure AI, which was a, you know, amazing opportunity. But I look back now and I realize, like, if that didn't happen, I would not have worked there. It was on my list. Like, I will not— I try now, like I said, I have low tolerance for nonsense. I don't want to go work somewhere where I'm asked to stay in a little box, at least not at first. Some of you know this, right? Like, they tell you, we're not going to put you in a box. You can be yourself, bring your authentic self to work. And then you show up and they're like, so about this box. Like, we'd really like you to just stay in there if you, if you didn't mind, just for a minute, just for a little bit. Um, but Microsoft really, that shift that happened, you know, I'm just really excited about where they've come, the manifestation of the desire and the teams and the incredible brilliance that I encountered while I was there. It was, yeah, it's, it's such a powerful story, Ara. I agree. So cool. Um, so yeah, it's definitely look him up, you know, read his bio, uh, find out his story. But it's really cool. Um, but it was so interesting to see him, you know, among Ballmer, who was like, I won't even say. Um, and then Bill Gates. I mean, anyway, it's just fascinating to me. Uh, it fascinates me. So happy birthday to Microsoft. We all wish you another 50. Uh, speaking of 50 plus 50, Delta Airlines is also celebrating 100 years. Um, And I posted on Blue Sky recently. Uh, they right now have a really cool, um, it's not AI generated though, it could be. Uh, but they have a really cool safety video where it takes you through the decades of Delta from the very first like outfits that they wore and all of it was very, very cool. Um, so if you're on Delta, and, and it's funny, it's been out for a while. I just might not watch the safety video that often because I feel like I know it by heart, but I looked up and I'm like, oh, this is pretty cool. So now I've watched it twice all the way through. I'm a big fan. Um, anyway, all right, so this leadership concept, I think I just wanna, I volunteer to you to just explore these different principles, these Lamplighter principles. I have a podcast, it's called The Lamplighter Effect. You can go listen to the first 3. One of the things my editor at, uh, Wiley encouraged me to do was just to continue podcasting, create more reasons for people to uncover the book and cover, um, the content. And so you'll see me adding additional content to the Lamplighter Effect. I think we're up to A. It's an intro one, then L, then A. And so I'm gonna do, uh, M and P next, uh, this week, and then I'll just keep doing a couple more. Another thing that I wanna bring to your attention is the, uh, Good Morning AI podcast. It is, I think we're up to episode 10. We just launched, uh, a bu— I just published a bunch of episodes that were in YouTube that I forgot to push over to the Spotify, Apple Podcasts, Amazon Music side. So I pushed those all out and we got a bunch of, uh, listeners right away. But I wanted to let you know that that's another area. I oftentimes, they are this session, um, I shouldn't say that sometimes it's this session, but oftentimes it's actually like LinkedIn Lives that are very specific about a topic. And another thing, what I'll be doing is actually doing a podcast on each chapter of the book so we have a chance to talk about it. Um, I think it'll be really fun and it's content that I wrote, so we might as well talk about it. And I would more than anything love your pers— your perspective, like what you think and how it works. Um, absolutely, Jessica. Great question. Jessica asks, is there a link to the podcast? So for those of you in the Zoom, I will put these in there. Um, yay. Thank you, Stephanie. I'm a natural ideas person. Thank you for saying that. Um, amazing. Yes. So let me share the link for the— you could also Google it, um, the Lamplighter Effect with Noelle, uh, or Good Morning AI with Noelle. They are Googleable, so that's the good news. But I just pulled this link up for the last call, so I will grab it really quickly. Episodes, there it is. So I'll grab the link for you. Oh yeah, and I clicked the monetized link and it wasn't in there. I think it was in Settings, availability. Found it. All right. So how do y'all listen to podcasts? Throw into the chat how you listen to podcasts. Are you a Spotify person? Amazon person? Like, what is your— Apple? Oh, thank you, Yara. You're awesome. Uh, Yara's an Apple person, as it state— as it shows in here. Spotify, Apple. Okay, good. That's one of the choices, right? Is that I wanted to be on a platform that allowed me to distribute my podcast to all available channels. iHeartAI, GoodPodcast. Pocket Podcast, like all of these different places. Yes. And YouTube, 100%, Julia. Um, so I also do the same thing. I actually prioritize— uh-oh, that doesn't look great. Um, I prioritize YouTube, which was my mistake because I went over to Apple and I was like, what do you mean I only have 2 episodes? I've got like 10 episodes. So I published those all. I tried to backdate them so you could see when they were originally published. Um, but the reason I'm sharing that with you is that we are going to be launching a new, uh, set of, uh, series, a whole new series, uh, for the podcast, which will be interviews that I've done. So some of you saw them because you probably were following me back then, but I've done some really cool interviews. One with, um, Greg Brockman, who's the CEO of, uh, OpenAI. He was the COO at the time I interviewed him. One with Cynthia Stoddard, who's the CIO over at Adobe, one with— I can't remember his name now, but he was running conversational AI for Google. And the reason I don't remember his name is because he's not in that role anymore. I actually think he might work for Microsoft now. But anyway, but, but I— so I did all these conversations. I was like, I really loved them. They were super fun. So, and then I also have the interviews that I've done where I've moderated panels. One of my favorite panels that I moderated was at CES a couple years ago where I had, um, May Habib, the CEO of Ryder, uh, and then I also had, um, Dmitry, who is the Undersecretary of the Department of Homeland Security. And the things he talked about, oh my goodness, like it changed my thinking. Um, You know, people always say like, ah, we should be worried about AI. Last night, one of the questions that was asked in Charlotte, um, one of the questions we asked the audience, we gave some little audience communication time and we said, do you think AI is good for humanity or something like that? Um, and let them talk amongst themselves. I wasn't, unfortunately I could not be in that conversation cuz I was backstage. But, but that, like when I listen to people like Mae and Dmitri talk about just the massive amount of good that AI has done to solve problems for their, for May's clients, but also for the Department of Homeland Security, the like largest policing force in the world, including, you know, like their TSA people, their, you know, fentanyl tracking people, their child trafficking people. Like they, they focus on the biggest problems in our society. Society. Um, and so to see and hear from him how AI's being used to shorten the time it takes to solve cases, to save children, like I could get emotional. It was so, it's just so good. And so I was like, you know what? I, I should publish these. So we're gonna publish those, but we're also, I'm going to be working with, uh, CEOs that are kind of basically my customers. And for those people who are building and integrating AI into their organization to reduce friction, to grow revenue, to save costs. You know how, uh, excited I am about the, um, oh, I forgot to send you all this, this thing. Hold on, let me show you. Um, Control+C. I'm gonna put this link in. Oh, you know what? I did put it in, but I put it in for hosts and panelists and I'm the only one in here. There we go. That is, that's the, the Spotify link. Um, but I was really inspired by all these conversations I had and I was like, I really wanna talk to people that I'm helping implement things or that I want to help and find out what their ideas are. And so we're gonna shift the focus from just being recordings of me sharing my ideas with you to me sitting side by side with people that are either contemplating, maybe they're in baby tiger mode, right? Where they're just getting started. Maybe they're in big tiger mode where bad things are happening, or maybe they have taken some of my advice and safely and responsibly scaled AI to generate the outcomes that we've, um, talked about. One of the— I'm gonna put this link also in the Zoom, uh, chat for you all. So please, if you are listening to me and you are interested in this and you wanna be in the Zoom, it is here for you. But you do have to join the I Love AI community. It's how we communicate, share ideas. Um, but, uh, if you wanna do that, you just go to Noelle, my name, N-O-E-L-L-E, .ai. It's a website. It'll give you the option to join. Our community, the I Love AI community. It also has an option for you to have an AI Impact Discovery call with me. If you're interested in knowing a little bit more about what I do and how I help my clients, you are more than welcome to set up that time. But, but that is where you'll go and join the community. That way you can be here with us and ask questions and get all these links that we are sharing. Oh my goodness. I'm like, what was I doing? All right. So one of my favorite blog posts, which gets updated all the time, this one, the last update was in March, so we're due for for a new, a new one. Um, but this is the— every— let me, uh, paste this in here for you all. This is that post that originally was created in November of 2014, and it was 250, I think, 250 use cases. These use cases have now expanded to over 400, and it's real proof in the pudding how AI is working. My challenge with these is that some of them, very few of them, have videos. But man, would it be cool if I could just interview these people and talk to them and find out what they were thinking and how they approached the problem and how they got there. So that was, that's my vision. So you'll see, we'll start doing a lot more of these, uh, over the next few months. Um, and of course, if you are a business that's implementing AI and you would like to be on the podcast, please reach out to me. I'd love to have you. Um, but there are 400 companies on this list. Uh, so really cool. Um, Sherry, as always, uh, Sherry, someone just reached out to me saying that you were talking me up, so thank you for that. Uh, it says, um, what's your earth— oh, am I supposed to say this out loud? Maybe not. Um, yeah, my— I have been burning rubber. Uh, yeah, I've been all over. It's book, book launch time, right? So I'm trying to get the word out. Uh, but yeah, it's been great. Um, I am excited though. Oh, this is something to— I don't know if I went— I think I meant to share this on the last call, But we have created a mentorship program, which allows people in the AI Leadership Institute to become members and mentor people that are learning AI. So what I've uncovered is like, as soon as you learn something, the best thing you can do is teach someone else. And so we're gonna create this opportunity. It's also a potential opportunity for you to make some money because you, as you bring people into the AI Leadership Institute as a member, you get 40% of the revenue. So it's pretty cool. You, you know, you get a couple people and they pay for you to be there. So it's, it's a really cool opportunity. But like I said, I, I'm a big believer, it's a philosophy of mine that once you learn, once you learn something, the faster you can teach it to someone, the more you'll cement that idea. Because when you have to say it out loud, you kind of have to think about it in a completely different way. Yes, Cynthia, 100%. Learn, teach, repeat. Yes, that's a t-shirt. What? Let's do it. So that for if you clicked on the link to head over to the blog post, you could also Google Microsoft. I would probably say Microsoft Transformation Stories and it should pop right up. It's a very popular post. It's also really smart post. So the post has been out for a while and they just keep changing it. So when they, they add more use cases to it, they republish that same post. And from a marketing perspective, that's kind of brilliant, right? Because they're building on the momentum of the previous post and now adding to it. It's kind of like doing a repost on your own content. So it drives more traffic to that original post, which is really great. It allows algorithms to think that this content is extremely valuable, even though it's the same content with new stuff being added all the time. I really like the— I like the strategy quite a bit. What was that for? You mean the blog post, Jessica? Uh, I don't know if the blog post, maybe. I don't know, you'll have to tell me. Oh yeah, yeah, yeah. Uh, the blog, well, I was talking about the algorithm of like LinkedIn or Google, right? So when you create a single blog post, the algorithm basically, uh, robot little thing walks around the internet and documents that you've created something, but every time they go and add new use cases, it's as if they've done it all over again, except they get the benefit of that document already having been there and generated a bunch of traffic. So it like gives, it's kind of like compounding interest, uh, on the, on the post. I think it's really cool. Um, something to consider. Yeah. Yeah. So it was last updated March 10th. Definitely take a look at it. Um, I love it. I've gone through all of these use cases I've created. Ooh, here's a fun AI, uh, practical activity. So let me go ahead and share my screen. It's that time. Let's do this. Uh, I'm gonna share my screen and share with you this document. Maybe if I can find out where it is. I think this is it. Share. All right, wait for it. There we go. Let me make it a little bit bigger because I know it's small. Oopsie, I just made my chat in Zoom bigger. That's not what I meant to do. All right, so here is that blog post that I just posted the link for. If somebody finds it on LinkedIn and you want to post it into the chat, that would be amazing. So we're now up to 400, more than 400 stories, and that's cool. You should read it. It's based on the proof in the pudding research that was done in coordination between Microsoft in the IDC. I love this report. I use it in every keynote presentation that I do. I'll just click on it quickly so you can— oh, I'll have to put it back here. Oh, it's gonna make me sign in. Y'all remember, I think I already have it up here. Here we go. So this is the blog post. I'll go ahead and send this to you that represents this research, and they'll do another one at the end of the year. But what this does is it demonstrates creates the reality of production-scaled systems like that. We actually have data now, 2 years after we started, we have data that shows we are getting a consistent ROI on certain types of use cases. So you could see here generative AI use case usage jumped up. I'm sure it'll go up again this year. Some other things like this, one of my favorite, I grabbed this and put it in my slide deck. Where for every dollar a company invests in AI, in services with me, they will get at least 3.7x return. Um, and, or, uh, yeah, for every dollar you put in, you get $3.70 back, which I always talk to my, the executives that are in the audience and I'm like, what game would you not play where that would be a thing you'd wanna do? Like, in most things we're risking ROI, we're risking opportunity. Now proof is in the pudding for certain use cases that if you put a dollar in, you're gonna get $3 back, like, Let's just do those. But it's not just those, right? Generative AI usage jumped up. Most organizations are currently have on the roadmap the scaling side. So this is why the way my book is written, it starts with chapter 1, which is the hype cycle, kind of day 1. How do we, you know, baby tiger mode. But then the whole purpose of the book, the reason it's called Scaling Responsible AI, is because it then goes into what do you do on day 2? How do you get to this? Look at that number. 24 months. I'm gonna call it 36, maybe 24 months from now. But in the next 2 to 3 years, people are gonna go from testing out little baby models, baby tigers in their company, to being like, how do we actually use this for real? Like, how do we generate real revenue, save real money, save real time? Um, and in doing that, in going to the reality of production-scaled responsible systems, you're gonna run into, let's call it 3 challenges. More than that, I cover a bunch in the book, but let's just say 3 for today. And those 3 challenges are gonna be number 1, accuracy. How are you gonna make sure the model doesn't generate model errors or hallucinations or confabulations? Is that the word I said last time? Um, are you gonna make sure that the model doesn't lie, right? We have an architecture called retrieval augmented generation that we can use to apply to an LLM specifically. That's what this data is saying in order to make sure that accuracy becomes less of a challenge, but it's still very much a human task. So accuracy is the first challenge you're gonna run into is like, whoa, whoa, whoa, we tried to use this at scale and the model started behaving crazy. In the previous call, we talked about how you can change different parameters on the model in our AI Leadership membership. We talked about the parameters you can change on a model to control the variance on confabulations or model errors. How do you reduce the scope, if you will, for a model to make its decision and find the right next thing to send you? But for this, I'll focus on the 3 scaling challenges, right? So accuracy is one. Retrieval augmented generation is one way to solve for that. The second thing is fairness, right? If you build a model that is unfair and that becomes a press cycle, your reputation gets hurt, your revenue gets hurt, your employees, your customers, like everything is at risk when you build a system that hurts people or marginalizes people or disenfranchises people. So you wanna make sure before you go to production, you don't wanna find out that your model is doing bad things on Reddit. Like I always tell people, like, let's not use Reddit for that purpose. Um, but many times we do. Many times organizations don't even realize their model is broken until they find out someone sends them a Reddit, a subreddit that's like, have you seen the, what's going on over there? Mm-hmm. We should fix that. Alexa was one of those, right? In the early days of Alexa, we would often scroll around Reddit to find what people were saying about the product, only to find out like, oh my gosh, we should fix that and then go fix it. Um, so that being said, uh, that's one, accuracy. Two, fairness. We wanna make sure that we are serving as many people as possible in the most safe and responsible way. And then the third, which is, I don't know, I feel like we should be talking way more about it, but maybe it's just cuz it ends up at the last part of the conversation, but it's security. How do you secure a, a technology that's going to increase your attack surface? This, right? We're already not super secure in the way we do things now. Now we're adding an AI, a language model that allows anyone to start talking to your system and potentially get that system to divulge information it's not intended to. Attack surfaces are growing. Are we investing in the right cyber resources, cybersecurity resources to control those scenarios? And cyber is just like, cybersecurity is just one part of it. I think it's also important to think about it through the lens of what's called AI red teaming. And I talk about it in the book. AI red teaming is the, I always say it's a verb, not a noun, right? It's not a thing you do. It's like who you are. It's how a project is built. It's woven into the tapestry of the work of the engineering. It's not something you can pluck out at the end. And so yesterday on stage I was talking about how you're one, I would say, and I say this on a lot of stages. Um, it's funny, some stage, some people in my audience don't understand the reference, which makes me a little sad. But, um, but I'll say we're one acquisition away from the Death Star. And, and what I mean by that is, I mean, oh my goodness, I have to mention, right? We mentioned the birthday. That was good news. Some bad news, 23andMe. Right? Up for sale. All that data. Like, they're literally one moment away from being acquired by a Death Star organization that could use all that data for really bad reasons, or at least unintended reasons, or reasons that violate the trust of people that gave their DNA for this information, right? For this service. And so I always, like, if you build your systems responsibly, but tactically, meaning you add a checklist at the end to make sure you've done things a certain way, or you have, uh, a meeting at the beginning to make some early decisions. If you have not woven responsibility into the way that everything about your project is developed, your— all the work that you've done can actually get just plucked I always say responsible AI, it shouldn't be like a raisin in a bun or a chocolate chip on a muffin. It needs to be more like water in a wave, like intrinsic, so that if it is acquired by someone who maybe isn't, have, doesn't have the best of intentions or is just ignorant of intention, that the model that we built, the data that we used, that it's completely like inlaid with responsible use. And so to give you some ideas on that, if you're not familiar, responsibility typically includes making sure that your model is built to be transparent and explainable, that it's built to have services that will allow you to detect whether it's fair or not, whether it's just or not, whether it's equitable, right? Um, whether you'll have another, how robust is it? What's the model infrastructure? What, what data? How is it gonna exist in a data center? How much data does it need? Right? Data privacy. Once I figure that out, who owns this data? How do I protect the people who gave me the data? 23andMe, right? It's so important when you think about responsibility to first identify what does that mean to you? What are all the tenets for that? There's plenty of research you can look up on the internet to find out. About what different companies have identified as their tenets for responsible AI. But at the end of the day, it's how do you protect the systems you're building from future change if someone else becomes the owner of it? I mean, I watched a beautiful company that celebrated community across all sorts of lenses get disintegrated when it got acquired by the Death Star. And I'm like, oh no. We need to do way more. You can't just fire the team and responsibility dies with the team. It has to be like woven in. You have the, you'll have no choice. And that is a craft. It is an art and a science. And it's something I think that many of us on this call are probably called to do, right? Is to build systems this way. Um, yes, it's a holistic approach to building, Char. Yes, exactly. So, so this article is pretty cool. I love it. So my idea for any of you who choose to do it is to go in and grab one of these use cases. And this is what I did. So look how many there are. I'm just going to scroll through like, oh my goodness, right? Pick a use case. Bank of Queensland in Australia. I'm thinking they're using Copilot. But what you could do just for fun and also to amplify that people are using this successfully. Many people don't actually think AI is in use right now. They think it's all hype. And I'm like, no, no, we're, we're kind of like, we're not quite in the trough of disillusionment, but we're definitely at the peak of the hype cycle. Like, people are actually implementing right now. So I went in here and I maybe copied all of this content. Let's see if I can do it right now. Let's see. Uh, yeah, yeah, yeah. This is the story. So I'm gonna go in here, grab all of this information. Do-do. I could also just grab the link, but I'm just for demonstration purposes. And yes, I love it. Employing Everyone Does More. There's some resources. So I'm gonna say Ctrl+C, and then I'm gonna go to one of my favorite— let's see if you all can see this— one of my favorite models. Gamma, and they just GA'd a product, a service that allows you to create social content from articles or content you find on the internet or content that you've written. So I'm gonna create a new one. I'm gonna paste in text, which is all that text I just grabbed, right? Pretty cool. Lots of cool stuff in there. I like it. But notice here it allows me to create a social media asset, which means it's gonna generate a carousel. Carousel. So I can choose the orientation. I typically use square for carousels, but you could do this in stories as well for Instagram. But when I say continue, it's gonna take this content. I have no idea. I'm not even gonna edit it. Um, it's gonna say, is this look good? I'm gonna say, yeah, condense it. That's probably a good idea. I would like them to be medium text. That sounds good. AI-generated images. This is not the default model. I choose Flux cuz I like Flux. I do not have the option to choose No, I don't. I have DALL·E 3, which might be cool. Um, but if I had the option to use Sora, I would definitely do that. Uh, so let me go here and then any option. Yeah, I'm, I'm not gonna put in, I'm just doing this for a test. So now I'm gonna say continue and it's gonna ask me, I have a couple of favorite themes that I like to use for these things. You probably have noticed one's called like Nebula or something like that. Oh, I like this one. Ooh. So I'm just gonna generate it just so you could see what happens. Yes, I love it, Joe. 100%. Exactly, Shari. Yes. Say it again for the people in the back. It is easier to build AI that isn't ethical. 100%. However, I don't know. It might be easy in the short term, but it will definitely cost you in the long term. That has been my experience anyway. So here we are. So now I've got this. It's still generating. It's doing a pretty good job. It's got a couple images. I don't know what it's doing with this, this stuff, but we'll see. All right. It's summarizing it, but it's turning it into a little sliding carousel, which I'll show you in just a second. I should have picked less slides. I think it defaults to 9 or something. So whoopsie. So now it's done. Thank you very much. I would now, if I was doing this for real, I would go in and I would edit it. I'd make it my own. I'd put my perspective or I'd change a couple cards to be my ideas. It's based on a public article about a company, but it's such like there's 400 of them. So take them and then, I mean, imagine I go and interview the CEO and then I could like lay it in. That's so cool. But I just wanted to show you some of the, you know, I wanna weave in some of the tools that I use every day to help with content creation. So now I'll go here and choose to export it, and I'll export to PDF because a PDF can be uploaded into LinkedIn and it automatically generates that PDF into carousels. So I'll demonstrate that for you right now. I don't know exactly where I put it, but I'm gonna go here. I'm gonna go to plus and add a document, and that document, we'll see what happens. There it is. I say done. Oh, oh yeah, I have to put a description. I don't actually, I'm just gonna show it to you so you can see here. This is it. It's an 8-card slider. It's not terrible. Like with less than 20 minutes, I could prob— yeah, right. What a great tool just for, because the point is, I think some of you saw my post, like you have to get known. And one great way to get known is to provide your input on existing projects. You don't have to have built those projects to understand what they did. That's kind of why I like it. So just to give you an example, right? And then you could put your CTA. I didn't give it that. Normally I would tell it that in the instructions in Gamma. So when I built it, I would go into the instructions point and say, create a CTA that tells people if they want help, call me. But it's that easy. It's that easy. Um, and I think it, yes, exactly. Oh my gosh, this is a great point, Jessica, that your lens is likely gonna be in an industry. Or with a specific client type. So you can take these, you know, bank, uh, you might choose to reiterate the principles for financial services, but you could also take that same example and use your lived experience to kind of use it as a, uh, simile or a metaphor for how you might handle the same problem in retail or in supply chain or manufacturing. So I think I just wanna make sure that you are also aware not only of kind of the big, big meaty parts of what it takes to be response, you know, responsible AI, uh, engineer, practice, you know, practitioner, but also realize that half of your job is to articulate to the world what you are worried about and be a solution architect, right? How can we generate these ideas, take these these, you know, stories and show people that in this, this is maybe what I would do if I was building a project like this. These are the responsible AI things I would do, right? Those are the things that we can add to make them, uh, but I just think it's underrated what you can do in Gamma now. It was in beta for a long time and I really liked it, but now that it's GA, I think it's safe to share with you all. Um, but you can go in and of course change these images if you choose to. You can see here on every page I can edit it. Regenerate, change the color, change the theme. Um, but I just think it's kind of neat. Uh, really, really neat. Yay, Joe! Absolutely. Oh my gosh, it's so good. And so of course I showed you one article with 400 use cases. Oh, let me go back to that really quickly cuz there is a piece of this that I think is really important, which I find fascinating. So if you look at this, let me go to more. Look at what it tells you. So for every one of these use cases, the team at Microsoft, when they shared it with you, they were not skimming be on the details. They tell you exactly what products were used. So now you have an opportunity if you're a Microsoft person, but even if you're not, you can look at these products and kind of mirror what that looks like in either your platform or your product set or a competitive product set, right? Like, it's so cool. Well, thank you. I know, it's so fun. Um, but this is my hope is that you don't just get smart about this and then limit it to just the clients you have the opportunity to communicate with directly, that you use your voice, you create, use this tool, use other tools to actually amplify your own ideas into the world. Because I know many of you, and I know so many of you have incredible ideas. You're building amazing things for your clients and, and, or you are an employee and you're experiencing amazing things. That the world needs to hear. And that's half of the battle is not just are you good at this? Do you know how to do this? Can you deliver value? But does the world know who you are enough to say, hey, I have this problem, let me go talk to Noelle Russell Russell. If they cannot find you, if your name doesn't show up when they Google you, it doesn't matter how much you know, they won't find you. So, so I give you this as a tool to get known. Use it, I hope, with fun and excitement. All right, so let me take a look. So grateful to have you all here. Yes. Oh, I agree with you, Jessica. Same with job searching. And I mean, this is advice I give to people that I mentor. One of the things you can think about is when you are— you want to be specific when you're looking for a role. When you are being specific about the role that you want, Start going into content like this and publishing content that speaks from your experience, delivering value in that type of role. So when that person looks you up, and of course then tag it, meaning market as an experience inside your LinkedIn profile. So when people look you up, they see, oh my gosh, you talk about this, right? I think Jessica and I, you and I talked about this like, cuz you're very good at know your customer. I didn't even know what KYC meant. I thought it was like a radio channel thing, right? KYC, know your customer. Like, you're excellent at this. KYC plus AI, like unicorn skills. So it's so important, I think, to be able to, if that's the role that you're looking for, to start building content that demonstrates your value in that area in lieu of you actually like having a role in that area, right? The more content you have, the more perceived experience, perceived value you can bring to a hiring manager or a client in either case. Yes, yes, yes, yes. Okay, awesome, wonderful. I'm just going through. Yay. Okay, awesome, awesome, amazing. Let me look. I'm just looking through. Um, oh yeah, NotebookLM. That's another really great one. I was just talking with, um, I don't know if she's on call, but Padmni has a great idea for content. And I was like, you know, some of us are like, oh, I wanna do it. I'm like, whatever gets it out the door. The only place I desire perfection is in model success and deployment. That's the only place. Like everywhere else I'm like, done is better than perfect. Just get it out the door. Unless you're building a model, then, you know, make it as good as, like, perfection is your goal. Try and make it continue. Like, you can deploy it, but continuously work on it to make it better. That's my only exception in, in the perfection realm. Um, if you have a question, definitely throw it in the Q&A. I'm trying to scroll through. There's so much content in here, so many comments and chats. Ooh, I see one. Oh, oh yeah. Okay. I answered that question. Um, oh yeah, okay, awesome. Oh, and next week I'll be in DC, so I will be finally accepting the award that was postponed for AI and Cybersecurity Leadership, uh, which is being given to me by the DCA Live organization. So I'll be headed there. Uh, the week after that I will be at— and let me think, so let me— oh, I have my calendar right here, luckily. Okay, then on the 10th, I will be doing a privacy summit for Osana. Uh, I don't know if it's public, but if it is, you'll see a LinkedIn, uh, event for it. I've created a new thing that I'm doing. So for every event that's public, I'm gonna set up a LinkedIn event. And if you are local to that area and we are connected on LinkedIn, I'll be sending you an invite. It's just to increase the exposure. Like if I'm there and you're there, like, let's meet up. One of the best things that happened to me last night is two members of the AI Leadership Community came out to watch me on stage. It was a little strange. One I saw ahead of time, we took a picture. That was Michelle. It was so cool. And then, but then I didn't see the other person because they sh— like I left the stage and then they like forced everyone to leave and I came out and there were like only like the VIPs were left. And I was like, what happened to everybody? They're like, oh, we kicked 'em all out. I was like, That's my favorite part. If I had known that, I would've just gone right from the stage to the audience so people couldn't have left. But oh well. Um, but yes, uh, Phoenix. Oh, when I, oh yeah, I do need to come back to Phoenix. I am coming back to Phoenix maybe April 25th and 6th, I think. Um, but I'll let you know. Uh, and then let me think here. Uh, I think, well, that's probably enough. So I'll be at MIT speaking at the AI event. Sam Altman spoke there last year, so I'm super excited to be on the stage. And then RSA at the end of the month, I will be, um, on stage with the CISO of Meta, the CISO of OpenAI, the CISO, me, CISO meaning cybersecurity officer, um, chief cybersecurity officer, uh, and, uh, the CISO of Anthropic. So I'm, oh, and Sol Rashidi. Do y'all know Sol? Uh, she wrote a really great book. I have her book. It's right here. I love it. It's so cool. She actually inspired me to start my book a different way because the first couple pages is like her story, and I loved it. And I was like, I almost didn't start my book with a story. And that's so not me. But anyway, I read it and I was like, I love it so much. So this is her book, Sorority. So we're gonna be on stage together at the end of the month. I can't wait. So I'm excited for that. And then Um, uh, I don't know how many of you ever watch Amazon Live, but every Monday night I go live and I talk about the books that I love. Of course, I talk a little bit about my book, um, but I also talk about books like Soul's or Brian Evergreen's or other people that have launched books. Uh, if you launch a book, I will talk about yours. Um, but it's just a chance to— and, and of course, if you're available and you've written a book, I'd love for you to join me, uh, because it's super fun. That's how I found out about Amazon Live. Author calls is someone invited me as an author to be on their Amazon Live and I was like, this is super fun. Uh, I think we might be on Amazon Live right now. So, um, pretty cool. Pretty cool. Uh, okay. Oh, awesome. Uh, Julia just put an article in about cyberattacks and AI agents. Yes. Oh, I saw this article. It's very good. I liked it. Um, and again, all of this content, like I definitely, I don't know, in my opinion, I share, I repost a lot of people's content that I think is good. I do read it first. Um, but then I also think there's an opportunity for you to repost and actually provide your own commentary. And I, I personally would love to hear all of your perspective. Um, so keep an eye in the community chat. I will be posting a challenge this week on Monday. Uh, would love to have your opinion. We're going to demo, we're going to leverage. I'm gonna ask you to do a very specific task in an AI model. I would love to see what answers you all come up with, cuz I came up with some really interesting stuff. So it's been a crazy week for me. I, uh, just got back home. I briefly kissed my children, uh, as I exited, um, one call into this call. But, uh, but I'm gonna go hang out with them for the weekend. We're probably gonna go see, I've heard mixed reviews, on Steve— what is it? Minecraft. So we're going to go see Minecraft and— oh, don't tell me. Don't tell me if you don't like it. I'm going to watch it anyway. Oh, okay. Last thing. Swag. I got some swag that I'm very proud of. So I flew into Atlanta as I always do. I'm a Delta girl. So I flew into Atlanta and I landed in D concourse.. And in D Concourse, I know this very well, is a really cool gift shop. It's like a standard airport gift shop. However, a section of it is dedicated to Martin Luther King's legacy, uh, and, uh, an organization called the King Center. And they have a campaign called Be Love. Some of you have seen me, I wear their shirts. I have like 4 or 5 Be Love shirts and sweatshirts and hats. But they created a new campaign and it's called Be Love, but there's also a little bit more to it. So there it is right there. I absolutely love it. You can see it. It says, where injustice ceases and love prevails. Be Love. And so there is a Be Love pledge that you can take. I got a couple of these stickers, but I also got a brand new t-shirt because I can't not buy swag. It's just so— if y'all create a swag store, let me know. But I got a new t-shirt. It says the same thing. So you'll see me sporting this with a red blazer. Um, I love it, right? Isn't it cool? I love that idea. Uh, so anyway, it's in D Concourse if you end— yes, 100, Scottinho! But if you end up being in D Concourse, here's the sad news, is that this used to be all Martin Luther King Jr. stuff, like all stickers, hoodies, sweatshirts. It's now like a little teeny tiny section. And I, you know, I'm not gonna comment on why that might be, but if you're in DCon, of course, go buy a t-shirt, pick up a sticker, buy a pen, be love, take the pledge. Um, it's really cool. I bought the— there's a kid's book on the Be Love Pledge, and it's just like, it's literally the first principle of Lamplighter's leadership. Just be loving. Like, come to the table with a loving perspective. It doesn't mean you're foo-foo or feminine. It just means you come from a place of love and not fear, right? Fear and love are opposites. So rather than being afraid or angry or impatient, you're gonna come from a place of love and compassion and patience. Um, and I find that when I do that and I'm intentional about it, outcomes change. People always ask me like, oh my gosh, how do you do all the things? How do things work out? How do you, You know, how do, how do things just line up? And I'm like, maybe it's my Lamplighter's Leadership Principles working for me. That's what I believe. Thank you for listening to the session today. Thank you for being here. Um, I don't see any, uh, more questions in the Q&A. I answered quite a few of them, but, um, if you have a question, last chance. Otherwise, have a wonderful weekend. I'm super excited. Next week we are going to start our, um, um, basically our classes on the book. So if you have the book, it's going to be like a book study for the next 12 weeks. We're going to go through content from this book. It will turn into a class that we'll host in the school community so you all can watch it kind of step by step. We'll edit it out, edit out all of the, you know, squirrel moments that I often have when I teach stuff. But, um, but you'll get a chance to kind of go through the book in a conversational style, and I hope you will enjoy it. I hope you enjoyed today. Thank you all for being here. Yeah, book study! What? Let's go! Um, so it'll be Great. Yes, yes, Mauricio, let's go. What? Joshua, what? Good to see you. Yes, get the book. You can get it on Kindle. And in about 4 weeks, it comes out on audiobook. It is not my voice. I'm just saying. It is a SAG-AFTRA actor, I'm presuming, a woman maybe, who sounds like me, I hope. We'll find out. I hope it's good. But no matter what, however you want to learn. But yeah, so you can get the book. You can get it on Kindle. You can get it in hardcover. Cover. Um, I really appreciate your support in doing that, but it's good. Like, it's good. It doesn't come just from my brain. It's everything I've learned from everyone I've ever learned from. So it's such a great aggregation, I think, of things. And I get to tell you the backstory when we go through the content together. So we'll be doing that starting next week. I am so excited. Thank you for being here. Y'all are amazing. Have a great weekend and check out the community, noelle.ai, if you're not already in. Join us. We're 1,500 strong now, so like, let's go. Um, and be aware, you're gonna get an email in your inbox on Monday inviting you to do a prompt challenge. And I would just really be— it's a cool prompt, so I'm interested to find out what you think. Thanks everybody. Have a nice weekend and I'll see you soon.