AI-Powered Marketing - Conversations about AI , and digital marketing
Samuel Hart of Hathr on Privacy, Security & Marketing Insights | #189
Welcome to the AI powered marketing show where we explore the intersection of artificial intelligence with cutting edge digital marketing. I'm your host Keith Bell, welcome, welcome, welcome. If you're a digital marketer, entrepreneur or tech enthusiast, you're in the right place. Today we have an incredibly special guest joining us. He's a trailblazer in the field of artificial intelligence and a true innovator in ensuring data security and privacy in regulated industries. Today we'll be talking to Sam Hart of hather.ai. Welcome to the digital marketing revolution. This is the AI powered marketing show where the future of marketing is not just imagined, it's already here. Are you an entrepreneur, a digital marketer, or a tech enthusiast? Then you're in the right place. Every day we explore the cutting edge tools that help you manifest and monetize your expertise through the power of funnel hubs, supercharged with artificial intelligence. Unlock the secrets of turning your expertise into a digital powerhouse. From actionable insights to transformative strategies, we've got you covered. Now let's dive into the world where AI meets marketing, where ideas meet execution, and where you meet success. Your journey to marketing mastery starts here. Here's your host, Keith Bell, bringing the future of marketing to you today. Sam is not just any tech entrepreneur, he has an impressive background as a former special operations forces pilot and a defense contractor. He supported some of the highest echelons of the Department of Defense from the chief information office to the joint chiefs at the office of the secretary of defense's industrial policy, he led the business intelligence and analytics team, creating products that were used by top level officials, including our president of the United States, the national security advisor, and the secretary of defense. But that's not all. Driven by the lack of a compliant, secure, and private AI tool for companies, Sam took a bold step and founded Hayther. Hayther is an innovative AI solution specifically designed for professionals in regulated industries such as defense and energy and infrastructure. What sets Hayther apart is its commitment to the highest data privacy standards. It ensures that user data is never shared, retrained with, or copied. Sam's vision with Hayther.ai is to enhance efficiency by allowing users to generate more proposals and analyze complex documents rapidly, all while maintaining impeccable data security. This powerful tool is a game changer for government contractors, technical writers, and companies that handle rigorous documentation tasks, providing a secure way to leverage AI for growth and efficiency. So without further ado, let's dive into Sam's journey and learn more about Hayther.ai. Hey, Sam, how are you doing? Hey, how are you doing today? Good to see you. So we are here today with Samuel Hart. And we're here to talk to him about his company, Hayther. So why don't you tell us a little bit about yourself, your background, and this latest project of yours? No, absolutely. I did a bunch of different stuff as former Vermilter as a Special Operations pilot in the Air Force for years, and then got out, did your typical defense contractor a bit and ended up after a few stints in the Air Force, supporting Navy, DARPA, and the joint staff ended up in DOD's Industrial Policy. So doing everything from helping figure out and doing due diligence on investments through the Department of Defense, doing due diligence on companies, looking for foreign influence, a bunch of different stuff, looking at also these technology areas, one of them being AI. And I saw there's this huge gap because right now the paradigm is to use anything in the AI space you have to give everything away to big tech, you know, everything, how you think about your data, all your internal, all the stuff that you would keep private. Now it's like you're at a bus stop shouting, you know, your social security numbers. So I'm like, oh, let's go the opposite way. Let's give people a good option. You know, whether it's government or people or anyone who's like privacy minded and needs to protect their stuff, like we're there for them. So that's not an opportunity and we created half. Yeah. And I mean, there's so many use cases for it too. I mean, I'm prior law enforcement and I had the same cringeworthy thought process when I started my business and when I started integrating artificial intelligence into it, you know, a lot of my customers are in the healthcare field and protected health care information is a big thing for them. So I certainly can relate to that. So where does the brand name Hather come from? I was, I was curious, like, is it there any significance to it or? No, absolutely. So here, you know, I joke, you know, there's no caught. There's no vowel in it because, you know, bells are expensive, right? Yeah. There's no little reference there, but the jokes aside, it's a reference to this, um, this Egyptian goddess and she would take souls who'd be confused and kind of the dark underworld kind of like big tech, you know, they're always feeding you. So you don't really know what's going on with your data. And Hather kind of like that, you know, Egyptian dating supposed to help guide people to the field reads, you know, kind of like that nice gentle hand to be like, Hey, you're safe. You're protected, this is a good place to be, and we're going to help you get to that spot you want to be, which is using AI. You know, everyone wants to decrease cost, improve speed and get better product out there, but you also want to stay private. And so that's how we fit into the ecosystem. That's how Hather kind of got its name. All right. I, you just confirmed my, my research. I just wanted to make sure because artificial intelligence did, in fact, pull up that information about the Egyptian deity. I wasn't sure how I would make sure that I was correct before I asked about that. So, um, before we dive into, um, Hather, can you share any like personal anecdotes or experiences like specific things that led you to venture into this, um, this idea, this concept? Yeah. 100%. So there I was. So like used to be a regulator help generate ideas, but I also used to be a contractor. So there I am. And it's 10 p.m. I'm writing proposal, right? You know, another proposal for your company to add, you know, hopefully closed sales and you know, generate revenue for your company. And so these different AI tools are coming out chat GPT and then all these other GPT rappers, which pretend that there are some independent secure AI tool and then you scratch the paint off of it a little bit and you're like, now it's just, that's just chat GPT. That's just another open AI product. Like, thanks guys for almost stealing all my information and just shoveling it, uh, right into the furnace where everybody else is looking at everybody else's stuff. And so of course, you know, like, but I'm like, Hey, I'm, I'm new to this. Everyone's new to this. It's like November, you know, 20, 22, and then so like, I go, I bring this to my tech team. So we're in the national security space. We're all clear. I'm like, Hey, check this out. Can you use this? What's cool? They're like, absolutely not. I was like, wow. Be more. Yeah. They're hoping more. Right. I was so bummed out. And I was like, but guys, there's so much opportunity here and they're like, yeah, 100%. There's also a ton of opportunity for the people's liberation army and all our competitors to take exactly what we do for our business and a living and to use it against us. And I was like, well, when you put it like that, when you put it in those terms, it makes it a little bit more understandable why you don't want to share our, our national secrets with Chuck. Yeah. But even just the basics. So long story short, until you're having that experience, it was like, okay, so how do we make something that's secure, private, and compliant so that people can actually use it? They don't have to make those awful trade offs. Yeah. And that's the thing too that you said the keyword compliant because there are so many federal guidelines, you know, I'll use the health care example, the, the protected health care information. The HIPAA Act has very specific guidelines for how you can use a person's data. And there's criminal penalties and criminal ramifications for people that use them the wrong way. So there, there's a lot to, you know, there's a lot to lose there if, you know, not only lose your business but potentially lose your freedom. So, you know, take, take this stuff seriously. I was, you know, kind of in the same boat when I was first looking at this stuff and I'm like, man, this is really cool. But then, you know, I, I started seeing like, like all these companies that came out with, you know, like you use the term wrapper, they wrapped around, you know, through connecting with APIs with ChatubT and essentially, now I had two people that could compromise my data. I had open AI and, and I had the wrapper. So that wasn't very encouraging. So I, I totally get that. So how do you guys differentiate yourself from other tools with respect to the privacy issue? No, absolutely. I think first and foremost, I always, you know, I'm that nerd who actually reads, reads the user and privacy agreements, you know, the tools. No. I know, right? But just there are some key words to go through like, Hey, like, I started reading them when I got, I started to read them after I got my Facebook ad account band and lock because I used the ROM formatting for some of my ads. So yes, you should read them, read that, read the, read these things, folks. They're important. Totally. Those are actually something that I would put through ChatubT. And so I make it look at it, but it's fascinating to see, I mean, how they're all different. But at the end of the day, big companies, what they want to do is they want to see your, see your data. They want to interact with you. So like Google Chrome, right? They see everything you do. They see how you interact with it. You know, if you're a business, you know that you can neck down from all the way to how long someone looked at a certain part of a wedge webpage and how many times it interacted with a certain part. But this whole next new level is they're looking at how you even think about interacting with that data layer. So they're getting into even deeper into your brain. And that's in the ways they can help make predictive text. Now, some of the big ways we're different is now how ChatubT, it's like a giant swimming pool, like a water park. Everybody's in there. You can see everybody. You can see everybody else's data. It's everybody with their wide shirts. You know, it's flashed down and, you know, it's kind of dirty. And so, yeah, I was like, we took that. Let's do the opposite. Let's make it like a backyard pool with a bubble over it with 10 foot hedges. So you literally can't see anything, you know, it's private. Now the big ways that we're different is because we segment everything, because we make no outside API calls, we actually own our back end. We can actually make these claims about privacy. So the other part of it is, so one, it's a closed off ecosystem. The other part is in our privacy and user terms. I tell you, you know, like, hey, read those things. We give up any rights to any of the data you put in there. So we have no act, we don't have the ability to get access to those. And then on the flip side, anything you create. So where open AI, GPT, private GPT, whatever, you know, Gemini, they all make copies of your data to be used in the future, you know, anthropic, blah, blah, blah, all these companies, because they're big. That's the engine that if you pull apart all these companies and they were sold off, that's what would remain all the user data that was put into it. We're the opposite. Right? We're private AI. We're like, no, no, no, we have no rights to any of that. And so I'd say that's the biggest key discriminator. But because we created it like that, you can also make it compliant with the security standards. You can put it on a laptop and run it. You can put it in a loan cloud environment and it doesn't have to touch some big tech servers. Yeah. I think we talked about this before that I never thought in my lifetime I'd see that data would become a tangible business asset that people could sell. And I think, had you heard what I'm about to tell you before about Reddit? Tell me more how they're powering the next generation of how they're Reddit and Chetchy BT have launched a partnership where Chetchy or open AI is paying for user data from Reddit. Now if anyone's been in Reddit, the people in Reddit are not, let's just say they lean to a certain side of the fence. And I'm not going to go in any directional now, but I can't imagine that they're happy about the fact that their conversations, their subreddit conversations are going to be used to train Chetchy PT. And Reddit is being paid for that data, like something like six billion dollars a year. It's like, and I think what we've talked about before was, hey, I got no problem with using my data. Okay. Just pay me. Pay me to use my data. You want to use my data to train your large language model? Pay me. Pay me directly. Like Heath wants to check, but I think I'll be holding my breath for a while before. No, I'm happy. Yes. I'm with you. I want to make that money. Where's that? Yeah, where's my stamp money? So you talked about one of the standards and when I was doing research here, a lot of the industries that you deal with require a lot of confidentiality. And I kept seeing this NHTSA 800-171. It says, can you explain a little bit more about like what that is and how that works? You can think about it. It's just a framework to safeguard information that needs to stay controlled, right? So it's like big picture, they, you know, big picture of the government. They put out this standard. So NIST, it's the National Institute of Standards and Technology. Now they're a global standard, right, because the United States, you know, pushes out these standards for everyone, frankly, they're just a good distance practice because what it does is it makes sure that let's say you have a database in your system. I know I'm oversimplifying it, but let's say anyone on the internet can come in and see what's going on in there, like not ideal, but totally possible. Frankly, that's how a lot of people design their systems, like their architecture doesn't take into account like, no, you need to make sure you close the door after you leave, you close your windows, turn the lock, you know, you do all those housekeeping things that may or may not be part of the consideration for your development team. Maybe they are, maybe you are a company and you, they do their development like that for whatever reason, whether they're men running it to save costs or something like that. But what it does is it opens up, if you don't follow those standards, it opens you up to cyber attack, it opens you up to frankly slower performance, it opens you up to a range of issues, they're just not good. So, but following this 171 800 standards or 800 171, sorry, I got that backwards. And it does is it just makes sure that all the stuff you're doing conforms to a standard that protects the data, it makes sure that you're monitoring your environment, that you're doing a good job protecting that environment and that, you know, when you discover something, or you go on, you're always making it better. Right. And mind you, we're talking about unclassified information. I mean, we, you and I could go down the rabbit hole of closed source classified information, my background with narcotics intelligence, yours with the military, we could scare the shit out of people, but no, that has all whole another can of worms. I don't even want to get in like, honestly, this is good for industrial, just regular commercial practices. Like, if you're out there running a marketing agency, you need to look at some stuff where you're running, you know, some other random, like, if you're running like a pool service thing and you want to do some analysis on your customer, like, you know, who's buying with you over these different seasons, like all of that stuff, this is just good business practice. It's nothing crazier and safe. No. Now, now does this, do these like standards in practice include things like access control, audit and accountability, systems and integrity, all that stuff? Yeah, all the above. Yeah. So how, so how does your, your program manage to secure uploaded documents and internal content? How do you guys? So, well, I won't go into it too much because I think all of our eyes will be bleeding by, that, but the long story short, you know, we just, we just talked about NIST 800, 171 standards, you know, those map to some other NIST standards as well, you know, NIST 800, 53. Now, what we also do is we, we host all the data in AWS GovCloud. So what does that mean? It means that AWS GovCloud does a few different things differently than commercial clouds everywhere, which, you know, includes, hey, like, what type of end-to-end encryption does it use? I think the highest possible, like, what other stuff does do? Well, around the actual data center, there's a fence and an armed guard, right? One of these places, you can just walk in and just start jamming in USB cables. Like, it's pretty wild. So again, like, whether you're a financial services company or, you know, you're like a warehouse, like, these are the different things that you want to look at, like, so we're in AWS GovCloud. So your data is protected in the environment. Think about it, like, you know, in the actual warehouse. And then when it's in the cloud, all the different ways to get into it are protected as well. So that's how we skin that to get to the point where, you know, frankly, we can host a bunch of different types of information and a safe and responsible way. Hey, digital marketers, entrepreneurs and tech enthusiasts. Ready to elevate your AI game? Check out the AI-powered marketer newsletter from Keith Bell, host of the AI-powered marketing show. The AI-powered marketer newsletter is your go-to resource, packed with actionable insights, cutting-edge tools, and the latest news in AI and digital marketing. Whether you're optimizing sales funnels, exploring new AI strategies, or staying ahead of industry trends, this newsletter has you covered. Don't miss out on the chance to supercharge your marketing efforts. Subscribe now. Just click the link in the show notes to sign up today, and remember, the future of marketing is here and it's powered by AI. See you in the newsletter. Now, because of this standard, did you guys have to get any, like, special services? I mean, you have to follow the state hundreds, so as you have to abide by DFAR 70/20 rule, there's like a bunch of other things in there, just the compliance regimes, that's a more specific government work and government contract. If that's your thing, please reach out to us at halfher.ai. I'd love to talk your ear off about it and kind of show you the guts. A big picture for all this other stuff, you can put your stuff in and be safe. Yeah, that's the big concern. I keep coming back to the example of protected health information. One of the things that I run into all the time with my clients is, you know, they don't want me using any of their stuff on open, or I should say, proprietary AIs like chat GPT or anything like that, because it's protected health care information. So I got to imagine then that this standard applies to HIPAA as well, but a health care application is not going to be put in patient information on there. They might use it for business-related things and stuff like that. So during our pre-call, we talked about the 2026 data drought, and you had kind of educated me a little bit about, so for everybody that's listening, the 2026, it's in anticipated, I use that word heavily, that there's going to be a data drought. What does that mean? The amount of data that large language models are consuming, because it's like a hungry beast, it's consuming them so fast that the potential for it to consume all the existing and new data could equate to a drought in 2026. What's the solution to that? The solution to that that the experts are suggesting is synthetic data, and my point to you was that I'm not crazy about synthetic data, and your response was, well, everybody, we've been using synthetic data for a long time. So for those of us who don't understand what synthetic data is and how it works, can you kind of educate my audience about what synthetic data is? Totally. And how gosh, you know, how 2026 is so far off in tech town, I'll be so curious to see if it happens, and people are so creative and how we feed these engines that need more data. I think at the rate that data is generated, there's so much that is not put into or accessible in the current way. I think there's going to be a whole bunch of really interesting ways that data will be created, accessed, ingested. And like we're saying, too, synthetic data is really important. So there's a practitioner model, MBSE. So essentially, how do you create a digital rendering of a 3D or 3D object, and then have it go to do testing, so that's just like an example of synthetic data. But now, when you're creating that environment, you're doing testing, you're doing that, that's just another way of rendering an understanding of an object in space and time. So all that data, as we're getting more powerful tools, frankly, even more powerful GPUs, we're able to create more services of data and an accelerated rate. And as pricing drops for compute, you get these huge data warehouses and videos cranking out even more powerful GPUs faster. It's one of those where we're creating a range of different ways to generate more data, more accurate, but also less accurate. Like you brought up Reddit earlier, Reddit is a wild place, you can find anything you want. It's like, Mos Eisley from Star Wars, like, find good stuff, and find bad stuff. It's like, yikes, it is a lot to process for any way for the matter, just like the internet, right? So yeah, I go into Reddit, and I'm like, sometimes I'm like lost, because it's that it's like, it's like, it's like, Yeah, it's the size, like, you can get lost in there. Yeah, it's one of those where it's there going to be and there are more every single day, better tools to interact with more data and accelerated rate. And as the ecosystem continues to build, you know, at all layers on getting better, bigger, whatever, or, you know, just more opportunities are going to continue to arise. So it'll be interesting to see in six months, nine months, 12 months, just every quarter of what's coming out, because this is so nascent. And it's so exciting. Yeah, yeah, I started listening to this podcast a couple, a couple of weeks ago, and the parent company is Cognolytica. And Cognolytica, their area of expertise is synthetic data. So I've gotten, like, my anxiety level went down a little bit, because, and the reason I wasn't anxious about it was because as a digital marketer and a content creator, you know, being able to create content that's going to resonate with my audience was important. And the concern about synthetic data was well, you know, is it going to be as good as what I already have? But listening to the podcast, it's escaping me for the for the moment, but they really, really like, expand it upon like how, you know, future AI is going to touch upon every aspect of our life, from the cars we drive to, you know, the content I created as a digital marketer to, you know, solving, you know, health problems, it's going to touch every aspect of our life. And, you know, you either get on the train, or you watch the train go away, and you don't know what's going on. And there's going to be people, you know, like our our grandparents, that are going to be like, you know, what's that AI thing, you know, we're going to be my generation, I'm 60, I know you're not 60, but my generation, we need to trust anything, you know, we, we didn't trust anything. So I have to work, I'm trying to be more open minded in my, my older age here, but anyway, switching gears. So what are some of the core functions of it, or how, you know, how to totally, how to generation, I assume a lot of the people on your audience, they know chat GPT, you know, you have a little box at the bottom, you upload documents or whatever, or you just have to get questions. Same thing. It's seamless. Like the user interface, like how you use this tool is specific. Now I tell people, like AI is only as good as its prompter, right? And prompter, you know, prompts are just like the things that you teach it in. So I tell people, I'm like, imagine you're talking to like the brand new intern at your, at your job or wherever. They're the smartest person you've ever met, but they only have so much context and they need to be told what to do line by line. Like they're just starting out, they're fresh. And so, you know, it's the same thing. It's the same thing here, you know, you give instructions, the more detail, the more explicit you are, the more context it has to go do a better job. Same thing like that intern, you know, if you say like write a record on banana prices, I'd be like, okay, you know, the new house is like, uh, chances of you getting what you wanted are probably pretty low. But the more they'd be like, Hey, I need you to write an analysis of banana prices in 1973. And what are the big things about? Or like, what are the big things that affected that? And then I'll get you something. Now you can feed it maybe a few research papers, and it's going to come out with something that's pretty darn good. You know, same thing with like that intern, you know, maybe you don't read the book and write the report. Just like, I don't know what you're up to. Here you go. And then you just let them go at it and come back to you. Now I also say to AI, if people are being honest with you and they're technologists, AI is not here to replace people. It's just not not there. Again, like when you think though about like people's like what they are at a job, you're just your most reductive, like for better or worse, like I like to think I'm special, but I know like my job is a series of tasks and some of those tasks are better done by AI or sped up by AI in some art. So I say to people, I'm like, Hey, you know, if people are giving you truth data, you use that chat bar, you're fruit, you're helpful, give it very clear instructions. And it will be able to help you for those different tasks that you have to get done, speed them up, make them better, make them easier. Yeah, I think I forget, I think I saw it in tech crunch, but natural language, the language that we speak is going to be the coding of the future. Like all the coders right now are gone. You know, they're, they're, but you know, they're probably a little freaked out right now. But one of the things I've learned, I've been using chat GPT and OpenAI and Claude, all different types of products since about December of 2022. So we're kind of on the same track there. I've had to learn, you know, prompt engineering and I've done many episodes, many podcasts episodes on prompt engineering. I talk about a newsletter, go read about it in the newsletter. But as people learn to be better prompt engineers, you know, they use the term prompt engineers, it's just your ability to communicate. You just have to change the way you communicate with the system. Like, you know, I, when I first started using AI, like many other people, I would ask you know, super questions, what's the circumference of the sun with like, no context, you know, like, why do you want to know this? You know, you know, what do you use information for? And that's what you have to learn with your, with your prompt engineering. So it seems like your platform uses a lot of the same architecture in terms of engineering. So are you, are you able to discuss the technology behind what's worse? I don't want to put you on the spot and in terms of the one if we need our target information, like open source, how do we write some more currently? And then, you know, we were finding answers. So with, with RAG. So, you know, random minded generation. So essentially think about it this way, you type in a something to the tool, does its little thinking, then it goes out, and it looks at like a database full of like, you know, all the all NACs in the world, essentially, like all the stuff out there. And it uses that information to reference it, kind of like you, like someone asks you a question, you're like, well, it's the confidence of the sun. I mean, it's pretty big. It's going to be something like this. And then you go to the, you know, you Google or go look in the album and actor, you know, it's like a PDF, you get your answer, and if you refine it. And then that's what you give back to that person. So kind of, kind of like that same tech there. And that's how we get around, get around this color. But that's how we make our stuff comparable to those big tech platforms. Like, I tell people like this tech, this tech that big tech has is super impressive, but it's all predicated on going back and touching their servers. So we're trying to do this decentralized version where it's like, Hey, how do we do this? But it doesn't have to go out and touch that, do you know, go touch essentially a server, like we host all that inside our protected environment so that it can stay compliant and stay safe. And also, frankly, what can happen too is, you know, reverse prompt engineering where other people can go in and see what you've typed in. So which data I remember doing that actually as a regulator saying, all right, who was abusing the system and putting stuff they shouldn't have in here. But also on the flip side, it's, you know, it's just in business, I tell people to watch what you're putting in other people's systems and then just as technology proliferates, there are so many different ways to do it right and be good by your customers, where you don't have to necessarily compromise. Yeah. Right. Well, I mean, it's almost like, like you've created it to kind of humanize this, like, it's like a electronic researcher, goes out, grabs information, brings it back, packages it up, makes it look tidy, does it in a safe environment, doesn't go out and touch anybody else's servers. Hey, digital marketers, entrepreneurs and tech enthusiasts, ready to elevate your AI game? Check out the AI powered marketer newsletter from Keith Bell, host of the AI powered marketing show. The AI powered marketer newsletter is your go to resource, packed with actionable insights, cutting edge tools, and the latest news in AI and digital marketingly. Whether you're optimizing sales funnels, exploring new AI strategies, or staying ahead of industry trends, this newsletter has you covered. Don't miss out on the chance to supercharge your marketing efforts. Subscribe now. Just click the link in the show notes to sign up today and remember the future of marketing is here and it's powered by AI. See you in the newsletter. We're getting to the part that I want to talk about was, what are the use cases, like, what industries are you really, really helping with this technology? Oh, gosh. I mean, I'm a bunch. For instance, I have to say, our biggest push, we do all this security, all this compliance stuff, that is for government and government contracting, so everything from defense, energy, international aid. Honestly, they also have needs, right? Because this isn't just government. Who does government work for? They work for the people. This is people's information that they're trusting the government with. USAID, all these superhero agencies, all the contractors that support them, everything from infrastructure and energy, everything from like your green power plants to your Tennessee Valley authority, all those people all have needs for regulated information. Now, the other groups of people that need it, heck, I use this. I need my own doc food. I laugh. I'm like, I use Hather to help write my help-right code on my website. I use it to help do tech writing. I use it to write proposals. If you care about privacy or if you have something you don't want to give to everybody in the world, then we're your customer. And we also have the compliance in the regulatory backbone to be able to handle it if you have special kinds of information. Now, I also say to you, we also do teaming agreements like selling the government bubble. That's a sidebar, but long story short, if you want to keep something private, use us. And we just rolled out actually like individual pricing as well. So we used to do just enterprise, but we just expanded offerings down to single subscriptions for 28 bucks. Is this before? Is there anybody else doing what you're doing? Because not really. I mean, honestly, this is a passion project. It's just something I feel really strongly about. People should have an option to stay private. It just feels wrong that everybody's just kind of accepted, hey, I'm fun with being just like everybody else and just everything's just more just becoming more like everybody else because big data feeds us all the same stuff. And you know, like, I don't really see anyone because it's honestly, it's not the best business model, like to have a data play to be able to scoop up all your customer's information and feed them some of that big tech suit. Like that is, that is really profitable. But I think, and I, you know, it's born out by different investments and different hunger, by different, by different communities, like there's a huge growth in the need for and the desire for private systems. So like there's a company called Kate, they're doing private infrastructure for mobile telecom, you know, us here in the private AI space, like where people's privacy gets protected, they're all these different or signal messaging. They're all these different products that are starting to pop up for people who know and care about the risk and also like, no, frankly, like, the value of being able to keep that beachhead move fast, access technology, but not beat it to your competitors. There's a huge amount of value that a lot of companies that frankly are crushing have realized how, you know, a bunch of different ways to stay added. Yeah, well, and again, I'm going to reference my prior, my prior law enforcement background. The first thing I started thinking about is, you know, the guys sitting in call centers in Mumbai, India, figuring out a way how to, you know, distill your intellectual property or your, you know, your personal data, you know, there's so much that, you know, is out there. There's, there are nefarious people in this world, and that's their mission in life to compromise other people. Totally. I think, you know, I think on the flip side too, there are a lot of people who are just, you know, they're just left in their lives and stuff pops out. You know, the other part of it, it's kind of, you know, I think, did you know, Google just had like a huge league for their SEO marketing? Did you hear about that? It's wild. I got a bit. I was like, man, I'm going to, yeah, I just, I just was reading about that the other day. And I was going to put it in my newsletter, but every other AI newsletter that I was, that I was subscribed to was writing about like, well, I'm not writing about that, because everybody else is covering it. So I did something on BMW's part and go with Watson. I said, let them write about, I'm going to write about. And I do want to bring it up, specifically talk about there's, there's a good podcast out there too. And it's different from yours. You guys is, you know, I think they're very complimentary. It's called marketing against the grain, but they talk about, you know, guy who published the stuff on kind of the thought process, which is all these communities between like Apple turning off a lot of the data access GDPR popping up in Europe and then coming to the United States, all these different enclaves are realizing the power of keeping their data or private. So they can monetize it and not just big tech. So anyway, sorry, that was like the big plugin. You know, you see, you go through this link documents from Google. It's wild. You know, actually seeing the guts of how it works. Yeah, I think about, I also think about the 2016 presidential election, where the Republican Party contracted with the people from in Cambridge Analytica. And they were using data that they got from Facebook that Facebook know that they had to target people in certain, you know, in certain districts that they were interested in targeting ads to. So I mean, there is some real, you know, real concerns about it. And I think you're doing something that that's very important. And you know, more companies need to get on board with that and start thinking about, you know, what's going to happen there. So I want to transition a little bit to, you know, what are some future developments like upcoming features, improvements that we have to release? So we just released our, you know, single subscription, you know, for 28 bucks, you can hop it, you can have all the privacy stuff, you know, same things like unlimited use, you know, we don't throttle your use like GPT does. And then also to the future, like we're working to build out our API. So still get the power of AI. But if you're a builder, if you're a coder, being able to build your own apps off our backbone, you know, so still be able to get that power of AI. But if you get alternative to big tech, you know, again, it all just comes back to like, Hey, how do we build an alternative system where you can stay private, but still get access to powerful tech? So those are the two big things coming down the pipe. We just had a great product upgrade in terms of speed, different types of files that can be uploaded. And yeah, we're just, we're just excited to get out there. So going forward, what, you know, what do you foresee as the foreseeable, you know, five years, 10 years, the future for your company and what impact you want to make on data privacy. And totally, I think the first is just education, just public service, right. So whether it's us or another company, getting people to know that you don't have to give all your stuff to jet GPT, like you don't have to give all your stuff to Google with Jim. I think that's the first thing. So looking at us from an education standpoint, trying to get out there and get more people aware of different ways you can construct your AI and how to look at different AI products. You know, my favorite is like Microsoft Azure, you know, in their AI, they're like, it's private and secure. I'm like, well, there's also human reviewers for all your data. So I'm like, mmm, technically it's not. There's a reason it's not allowed to hold what's called controlled and classified. But that's the first part. So it's that education piece, just really just the public service of letting people know like, hey, there's this something. Now the other part is like, well, how do we build a durable brand to actually get that check to people? So that long term vision is being that that privacy alternative, you know, that actually is a viable alternative to big tech. Kind of like signal is that is an alternative to just like random texting or WhatsApp, whatever, you know, same way, like, you know, the friends over at Cape are building that alternative to Verizon or AT&T again, that they just suck up all your data. And so I want to be that brand for AI that helps with the education, but also builds a durable technology brand that people can keep using. And I have to worry about, hey, are these guys intentions off the mark? You know, like what's going on there? It's like, no, like we are here to do exactly this, which is get AI in your hand, get safe, usable AI in everybody's. Absolutely. I mean, that I think going forward over the next, you know, 10, 20 years, the biggest, the people that are going to have the biggest impact on AI or people like you and me that are getting out there and educating people about, you know, what AI is, how it works, you know, what things you have to be concerned about, what things you don't want to be concerned about, you know, the benefits, the uses of it. And I think, you know, it's, it's a learning process, like I feel like my growth has been exponential since November, because I'm a tech nerd. I just like, I just, I just, you know, my phone, like I have like six or seven AI apps on there, you know, and I, I'm constantly, you know, using different products, but you hit the nail on the head. It's all about education, awareness. This is like, you know, it's like the commercial that Matthew McConaughey is in and where he talks about, you know, no, I haven't seen that one yet. The new West. Have you seen that commercial? Lookups. Yeah, he's Salesforce. Salesforce did a really good article where Matthew McConaughey is walking like the sheriff up in the middle of town. And he talks about that, you know, if AI is the new, oh, man, is data the net goal. I was right. A hundred percent, but in my market, an eternal house, you could possibly have been six that out. It's a Matthew McConaughey. Yeah. Yeah, I mean, I mean, think you think about it. It's like, is AI the new gold rush? Well, people are just rushing out there. And, you know, I'm sure when they were digging for gold back in the, you know, 1850s, 1860 that I'll remember, but I'm sure they weren't thinking about the ramifications, the ecological ramifications of what they were doing, you know, some of the things they were doing. But yeah, hopefully we can educate them going forward. So with, with that said, I'm going to leave you with the final word, any, any words a treasure your day is a wisdom you want to be wearing. It's worth a lot. Even if you don't think it is, it is. And just be careful and think about it as, you know, you're not going to use a shuttle to open the door. You want to use a key. All right, brother, well, it's good talking to you, Sam. Hopefully I can have you back on again sometime. If you're right back at you, have a good innovating, keep iterating, keep changing the world, brother. Take care. Thank you for tuning into the AI powered marketing show. Remember, the future of marketing is not just about innovation, it's about how you harness the power of AI to create extraordinary results. Keep exploring, keep innovating, keep iterating, and join us next time as we continue to push the boundaries of digital marketing. Until then, stay ahead of the curve. Take care.