LEVEL 16 · WILDCARD
Everything You Need To Know About AI
BRENT × TONY
TFG-2000 · AV-1
A conscious explorer's field guide to the machines that started talking back.
TRANSCRIPT· 12 CHAPTERS
0:00AI automation and cybersecurity necessity
In the modern day, for you to scale your impact, you're gonna have to utilize some form of like AI driven automation. There's no way around it. If you're like, I'm just gonna keep my horse, and everyone's starting to buy automobiles, now you got freeways, there's no more roads for horses, you're gonna get left behind. In cybersecurity, a zero-day vulnerability is a vulnerability that the public doesn't know about yet. So Mythos is incredibly good at finding zero days. I'm dead fucking serious when I tell you guys this, just because technology goes up like this, like everyone's lives just get better. Actually, there's a darker side to it. I'm in the business of catching people. I'm in the business of locking. Out, but I like, I wanna catch you. Like I wanna know who you are. It's more fun. It's way more fun. What if Chris Hansen just kept the pedophiles out of the house? It wouldn't be good television. Automation without security is dangerous, and security without automation is exhausting. What's it like being an ethical hacker? It's really fun. You can like think, how do I freaking commit fraud? I think that all the time. Am I an ethical hacker? I think there's gonna be a lot of hacking that happens. The people that are gonna thrive with AI are like the ADHD folks, the neurodivergent folks. Why is that? I can answer that question. Answer that question. It's because.
1:01Meeting the team and hiring process
Jordan from Naptickynapticick because it says naptick and then you're sittingsnapticick Mayday. We got, we got our hands in a few cookie jars, I would say, yeah, yeah, man. OK, this episode I'm super pumped. We started working with you guys. We just hired you. We found out by you about you because I just returned from a trip and when Tony picked me up, we're like, oh, let's go sauna. So we ran into Jen. Which, uh, is like originally a friend of yours, yeah, and then also working together so I met Jen through, uh, yeah, a mutual friend, yeah, and she's got here a Pilates slash aerial studio and she's trying to expand into she was telling us about. You know, I just tell them about my business and then they like just make all these cool things and blah blah blah and I've always been, it was a good impression of Jen, yeah, yeah, and she's just like, da da da, and I was like, that's awesome. She's just saying whatever and she doesn't need to know what the fuck and these guys are just delivering AI agents and shit. And also I've always told Roy, so like we found like Clip editor, he's amazing. He keeps getting better. We were looking for a social media person. We interviewed a bunch of like old Filipino ladies that were awful. They would like send us their work. They would like, they send us this work and we're like, this is like Facebook.
Marketing creation back when it was first coming out we're like what the fuck? and then like it would be so funny to be like, what do you think about podcasting they would just ramble for three minutes just like the most podcasting is great because it's so good and then it's great and I love it and I really wanna like I just wanna work and I just said a bunch of shit. I'm like, Tony, we can't fucking we can't fucking hire these people. This is crazy. I'm like, it's just it has to have like a long room to run. I'm like we gotta find a young dude who knows what the fuck's happening on the internet for social media. And he's got all his dopamine still. He's like 20 years old because I remember like, I have drive, but I can't operate on that level. Remember he used to go binge drink for like several days and you're like still lifting weights and crushing it when you're like 20. You could just do whatever you wanted. You could do anything. You're talking about peak peak 26, peak 27, high testosterone, high dopamine. Nothing can stop you. So you got like, you know, your first kind of job after whatever it is that you did for college and if you went and did some other stuff or whatever and you're just still ripping in all facets, yeah, and so like you're like he's coming up with things he's literally hiring people he's like, I'm like, dude, this is the guy. I want somebody who's creative and thinking out of the box so we can like run with us anyways, I always tell Roy the last guy we need.
3:35Building the right team with technical skills
Well, I was telling Tony, the last guy we need is a Roy, which is my buddy who works in cybersecurity. We need the guy who's like, you know, in Mission Impossible, the black dude behind the computer. We need that. We need a black dude. We have a black dude. We do have a black dude. Yeah. We got a black dude, a Filipino. Yeah, they're a Spurs fan. But like we needed that like I wanted, and, you know, we've been like going hard with AI and developing as much, but it's like, I can study carpentry on YouTube and look up some AI shit. I ain't gonna be able to remodel anything that cool. You need people that understand the fundamentals of programming, and she's like, yeah, one's a programmer, one's a cybersecurity, and I'm like, let's give this a fucking go. So we hit you guys up and then. I don't know. Tell them like what we kind of like set up just for us, what kind of like the thought, and then what you do with people. Totally. Well, first and foremost, we're excited to be joining the ranks with you guys and helping to. Take what your vision is, and then really assess how to freaking get there, right? And I guess the best way that I can articulate what we do is we show people the wonders of AI.
4:53Vision and operational bottleneck analysis
And it probably seems like. Like, even with some of the ideas that you guys, you know, put over, right, like, and we see this all the time, and now like you have this infinite capability where the cost of development is kind of going down to zero and you can get to the like 3rd, 4th, 5th, 6th steps of an idea very, very quickly and you can kind of go down the rabbit hole. But there's this kind of saying that always kind of comes back to me in anything that I do, and it's slow is smooth and smooth is fast. And I'm sure that everyone out there, whenever they've, you know, first gotten, you know, what was it, you know, chat GPT subscription and then Claude come in, and then now you get kind of get cloud code and then you're seeing like all these SAS operators just coming out feature heavy. It's like And so you can kind of sometimes lose sight a little bit about what your original kind of goal or destination is. So what we do is we're a highly technical team, we can basically build anything and we can secure anything, which I don't want to like step over the security aspect of it and we'll dive deeper into it because I love cybersecurity guys, like.
I love cybersecurity. Seriously, I think cybersecurity is the key to just about everything in the modern day, but we'll, we'll get to that stuff. So really what we do is we come in. You know, try and identify your vision, and then we blueprint. Your business and we figure out the internal wiring, and then we go. OK, kind of behind the scenes. OK, are these guys right, right? They're, they're having this inclination that Hey, like our business is kind of suffering or we could use help in this thing. OK, what does the data say, right? And so that's kind of always the first. Um, building block, if you will. It's just like, let's just get full visibility into exactly what's going on. And then from there, it's pretty simple actually. Um, we figure out from the data, what the biggest operational bottleneck is, where the biggest opportunity for return on investment.
7:23Healthcare administrative solutions example
And then, um, we basically just start going ham towards those biggest ROI drivers and then we don't stop ever. What are some examples of? Creative problems or creative solutions to problems that you've solved. Um, some examples of creative solutions that we've solved. Um, so like for you guys, for example, um, I think a good starting point is Right? You guys are wanting to kind of build up the podcast and kind of get things moving a little bit. Um, I'm a big believer in combining the technical with design. Um, And so, you know, whenever we're looking at um. You know, what, there's like a pretty kind of fun one within the healthcare space. Um, you have Um, doctors' offices that you think a lot of the primary costs that come along with healthcare is related to like, oh, you have these doctors that go and get this education and then they charge like a good amount and that's like where all that money goes. Um, it's actually due to the inefficiency to like administrative operations, which is why your medical bill is so high.
And one of those situations is the interaction between the medical office and the insurance that comes, and there's like thousands and thousands of codes that are related to a particular diagnosis whenever you're submitting the claim to go from, um. For the doctor to submit to like get that insurance claim, you know, approved or whatever. And, um, so yeah, we've done like several things like that where it's like, OK, come in and be able to solve the administrative operation issues that come along with um submitting that, and then they're actually reclaiming thousands and thousands of dollars of revenues from mislabeling different stuff. Um, so that's kind of one example in the healthcare space, but it sounds like your question was more on the You know, kind of like creative kind of design, not necessarily. Just, yeah, I was curious like what, what problems you've solved and maybe creative solutions to the problems, but yeah, I'm just open to any, any cool like case studies that I wanna understand.
9:56Honeypots and detection response strategy
So the thing that I'm working on right now is, um, like I said, big into cybersecurity. And so whenever you get into cybersecurity, there's this idea of detection and response, right. Now, whenever you have a whole bunch of different systems, uh, obviously, it becomes harder and harder to, um, Understand what's going on in that environment. So one of the key kind of core principles of What we deliver on the cybersecurity side is attackers use deceit. Why in the hell don't we, right? So there's this idea of honey pots, which are decoy systems resources that you can deploy at multiple layers of the organization. It could be a decoy account. It could be, um, decoy credentials. It could be an entire, you know, system hacker basically. Exactly right. So it's all about a bait and trap, right? So whenever these sit like no one in the business knows that should know that these exist, right? So naturally, if there's interaction with it, you know it's something suspicious.
OK, that's the first step. Well, and it's called a Mayday alert, yeah, right. So as soon as it's done, OK, we start like recording keystroke logs and all that kind of stuff, and then what I'm building now is a basically swarm of agents that will then go circle around it and decide the next best, like best step, right, because you don't immediately just wanna like, I'm in the business of catching people. I'm not in the business of locking you. Well, I'm in the business of locking you out, but I like, I wanna catch you. Like I wanna know who you are. It's more fun. It's way more fun, you know what I'm saying? What if, what if Chris Hansen just kept the pedophiles out of the house? It wouldn't be good television. It's like, I wanna sit you down. You can't just tell him to leave, and then you'd be like, there was a guy here, and I let him go, but he was a pedophile. Yeah, yeah, the show is just called To Keep a Predator Out. It's way less entertaining. But like imagine, right, like you're able to then, you know, maybe you like all of a sudden leak open a another potential door that goes to this entire like rogue network where you just sit and you just watch them and you know, got you, you know, got you and then if you can flip some malware back in I'm gonna, well a lot of times these guys are like over in like Russia or like China, you know, and you like, you know, you realistically like you can't really do anything.
But it's still just fun to know, yeah, you can use drones. Yeah, you could, yeah, you could use drones. Yeah, I guess the capabilities are really expanding these days. Exactly. You, you and Ben's background, like how'd you guys come together and what were you doing before, for sure, um, so, um, me and Ben, we went to uni together, um, and where was that Trinity University down in San Antonio, yeah, Trinity University. Uh, yeah, I played tennis while I was at Trinity, um. Love, love a good crack in college, right? It's just like ideal. I'd studied, uh, actually accounting and finance in undergrad, so go figure there, um. But yeah, met in uni and then 67 years went by, um, and then he was working in education for a while, uh, always been a good engineer, and those are the kind of people that I like finding. Like, I'm like, I don't need, I mean, he's polished, but like, I don't need, I'd rather take someone that's got um drive, that wants to make some of themselves and is willing to Learn and be adaptable over the most like senior person in the room, you know what I'm saying, um, and that's exactly, yeah, that's exactly what Ben is, man. He's a go-getter and, um, yeah, my co-founder Darian is the same way, um, yeah, and so we all just kind of got together, um, about two years ago, so I'm making this happen.
13:57Founders background and company origins
Well, so what was, what was the reason for coming together like what was the conversation? You're just like, hey, let's just. Catch bad guys, cybersecurity bad guys. Let's just catch up, yeah, like, what was the, what was the whole, yeah, did you come together like the Avengers for good, or was it to start a business or maybe a combo of both? Yeah, no, so it like it wasn't that at all, right? Like it was, um, so I had, so I own two companies, so Mayday is cybersecurity. And then NAI is on that agentic design, more on the development side. And the reason that I would even entertain going to businesses that early on is because, you know, I believe that in order in the modern day, right, for you to scale your impact, whatever that is, You're gonna have to utilize some form of like AI driven automation. There's like no, there's no way around it. You can't, you're not gonna be able to. It's like if you're like, I'm just gonna keep my horse and everyone's starting to buy automobiles, you're like, no, it's fine. I'll, I'll keep getting to work. It's like.
Now you got freeways. There's no more roads for horses. Like you're gonna get left behind. You're gonna get left behind, right? So, and if you wanna, right, save time, save money, or generate opportunities to make more money to scale your impact, what you both wanna do, right? Um, yeah, you're gonna have to implement that. But automation without security is dangerous, and security without automation is exhausting. So it speaks to this like beautiful blend of both on the technology, on the technical realm that you have to have. And most of the times, you meet cybersecurity people that don't have enough um wherewithal with like their hands on the keyboard and don't have that. True, like engineer, agentic systems type of delivery, but then whenever you get on the like kind of true engineering side, Sometimes they, you know. Can be a little bit of dweebs, right, and don't know how to talk to people or like don't have that color, right? And are not thinking about it from the cybersecurity standpoint. And so that's where that vision kind of came together. Um, and so I'd already started Mayday and then um Darian's my like Darien's my boy, so Darian, um, You know, him and his family ran this really successful wedding venue business in Asheville, North Carolina, and so this was 2.5 years ago. Um, I had like a travel trailer, Starlink on there, and I was just like cruising USA, working full time, running my business, like all that kind of stuff, and so he let me post up in Asheville, um, at the wedding venue at like one of their kind of like off times.
And yeah, we just like connected then, kind of grew a deep friendship, and then a year later, he was like, hey, I'm looking at trying to do some automation for my wedding venue business and We started chatting about that. A week later, we weren't talking about his wedding venue business anymore, you know, it had like grown to like ideas of much more and, you know, all this kind of stuff and uh we both just kind of, I think we both enjoy. I like putting blinders on and just doing a lot of little things over time and watching it accrue. That gives me a ton of joy, and I think he does too. And yeah, and here we are kind of 2 years in and we're hitting our biggest kind of like momentum explosion to date. Um, and I think it speaks to our ability to like, Be personable, be relatable, be highly technical, and be able to secure your data and make sure that it's not gonna, like whatever we implement for you is not going to Cut your heel down the line.
17:52Agentic AI versus generative AI explained
Yeah, can you explain what agentic means? Like, what is that, what is AI agentic? Yeah, so when you're in the AI space, you have, you know, generative AI, which is right, like your chat GBT, your cloud, and you go in and you go, hey, like, you know, I wanna connect up my data and I wanna ask it questions and I want you to like let me know it's, it's an inference, right? It takes your data and then it inferences the next thing down the line. Think of the word agent agent, yeah, I just like want a clearer definition in my mind. Yeah, it's like a VA that's not from the Philippines. Well, so, like, OK, so that's generative AI. Agentic takes it to the next step, and Agentic actually attaches itself to your tools and, um, actions and actually starts to have functional capability. So whenever you're talking about Agentic, you're saying, OK, not only are you connected up with my data, and can I go ask you questions about it, I can also go tell you to Execute actions on my behalf or on the business's behalf. So that's the difference between Gen AI and uh agenda. It's just, yeah, it's just agents, agents, yeah.
I think you were explaining we were on a call how you were showing this crazy map thing looked like a fucking Death Star. Oh, I give you, yeah, I gave you the brain. I gave you the brain treatment. Yeah. Can you explain like the importance of that because I'm so curious what the brain treatment is. Yeah, I took pictures. I thought I sent them, but like he was showing me this wild thing and I was like. What the fuck? You ever seen people in videos where they're building AI stuff and they're like, I built this whole brain. It was actually just a growth that he had that he took a photo of. He was showing you pictures of that, just zoomed in on his scrotum cyst or something actually underneath my left pinky toe. Look at this crazy system I built. It's, it's amazing. Pay me money. It's actually like on like a petri dish, you know, but, uh. Like what because the benefit of that, because people can build agents, we can build agents, but like it seems you're talking about something like keeping the data from within the system so they're they're all being fed it like a brain and it's staying and it's not also sending it out or like, yeah, explain that a little more.
20:16System mapping and dependency relationships
So what I showed you was Basically like a complete mapping where I took a business's blueprint and data and started looking at just the business connections and then we started going YouTube, Instagram this this does this yeah like I think in that example it was like OK like. Mini chat is like a tool that they use and like, you know, Google Workspace is one and just like, OK, then we have these like kind of business hopes and dreams over here and, OK, the ingress point from to achieve like You know, like a response time of under 30 seconds that would need to connect up with like mini chat because that's like an ingress point, right? So it's all these different connections and relationships and as you develop, you know, more and more software, there's just different, um, programs that are all attached with that and so what you wanna do.
Is And what I showed you is just maintaining that like dependency relationship. So that way, your agentic system. Always has a clear mapping and knows exactly where to go to find stuff because when you start. Accruing like a lot of like a ton of data, you know what I'm saying? Like the difference between. OK, like, hey, I wanna do this, and then having a reference point and knowing exactly where to go versus, hey, I wanna do this, let me search. In query And then analyze and then go to where, where I want, that can save you. Hundreds if not thousands of dollars over time in like token usage and. All this kind of stuff. So that's what I showed you was like.
Yeah, essentially just a complete mapping of an agentic system that we had built all the way to the ground up from like the baseline of what we're gonna do with you guys is like blueprinting and starting to build that wiring. All the way to like actually having. Software developed on top of it to get more technical on that, like the way it's built, is it like a like a log or series of organized markdown files and then it can kind of go there as like the brain to get that information or like how do you actually set that up? Yeah, uh, it's through, um, a tool called Obsidian. I was gonna say, yeah, is it like through Obsidian and then it just organizes through Obsidian LLM wikis, um, but then, you know, the wikis will go in and actually like blueprint like. You know, like Python scripts and, and different stuff like that. So I think what I showed you was the like aggregate, like the full, the full thing, but you can obviously like filter and kind of go by different levels, and that's beneficial in itself, right? Like imagine that you just wanna see how a business, like your business layer is functioning.
OK, great. Like, let me filter and go check out, like, go see the connections there. OK. Now, I really wanna see it like the technical level, right? Now you can go start going into like the code and different stuff like that, but um, yeah, it looks really cool. And I think like The amount of coolness that it looks is like correlates pretty equally to like how beneficial it is, but it's really, it's really like all like that's like machine, those are for machines, right? It looks cool to humans, but machine like there's always a difference whenever you're like preparing stuff which is like, OK, human readable versus machine readable, right, and you wanna be able to deliver both at any time. But what I showed you is really beneficial for machines, right, because it can. Take all that in, um, process it, and then know exactly where to go, um, to make it, to make a decision, to make an inference. Is there like the, what are the specific, I think Jen was saying the specific businesses you like are people trying to open more locations and expand into products like what are some of those?
24:40Working with small businesses and impact
Specific kind of people you're trying to work with. And why, and then why? Yeah, I personally like, I don't. Um, I don't do this to create technology that gets people hooked on technology so much that they're not present for their life or they're not present for interactions with other human beings or other people. So, I love identifying and I like, I started my own business. So that way I could um. Not pick and choose who I wanna work with, but so that way I could. You know, really participate in. Um, People, like people's visions for like making a positive impact with other people, right? Like, ideally in this situation, I'm helping you guys to where you're able to bring in more revenue, you're able to Scale your outreach and meet more people and you're able to have flexibility to move somewhat freely throughout your life to continue to push the vision that you want to do. I'm not doing it so that way.
You guys become like latched down with like having to like maintain this like system or if other people are like, I don't know like I like so. You give us this giant machine and we gotta run it ourselves. Yeah, like, I, I like these things are utilities, bro. Like they are tools, like they are like use them as such, right? Like use them to freaking reclaim time back, like use them to go get out of the office a little bit earlier if you have an office or like use it to, um. You know, like Figure out ways. Like I said, just to like scale a positive impact, right, um, and so those are historically the people that I really like working with. Um, I come from a family of small business owners, so I love working with small businesses. I love working with people like Jen, for example, right? And I love working with like, you know, people like you, right? And I guess the reason I love it so much is because I wanna come in and I want to utilize what I'm good at to help you grow and help you scale, and whenever you grow and you scale, I do as well.
Right, so, and I'm very, and we have the most opportunity to scale because we're 100%, yeah, and you don't really have too many bad habits yet, right? And you don't, let me tell you, buddy, we're, we're, we're not through the podcast yet. Yeah, yeah. They've been asking me a lot of questions. That's gonna be my 1st, 1st question back is tell me, tell me your top three bad habits. Um, no, but for real though, you know, it's like, I, you know. The whole reason why I started. You know, what I started and what we did is because I wanna bring historically, a lot of this like technical capability has only been reserved for like enterprises or people that are willing to shell out funds, like, screw that, like, let's get this down to Small, medium sized business. Let's get that down to the solo preneur. Gosh, like, those are the people, like small teams are the people that could utilize, like benefit, uh, the most from it.
Especially now, especially now, I mean there's a lot of people like even Jen was like, I'm not gonna learn this, but I know I need to use AI. How many people are still unaware that they need to use AI, but eventually they're going to become. Very aware and then they're gonna like panicking and they're gonna need companies like you to help. Oh, 100%, yeah, no, uh, I'm in a great spot, like we're in a great spot. Um, there is always, well, and like I also wanna say too like the reason why. I love working with small business is not for the money, right? Like that's why historically that realm of tech hasn't been available is because if you were in it for the money, you would go for the biggest companies possible with massive budgets to deploy, yeah, and I'm not saying that like we're not like we wouldn't still do that, of course we do, and like I have clients like that, of course, like, but. You know, like, I do this because. I want the best for humanity, and I'm, I'm dead fucking serious when I tell you guys this.
The The exponential rise of technology goes like this, right? There's a whole other graph which is like the benefit to this rise of technology actually has to humanity, and it's not 1 to 1. Like it's not like just because technology goes up like this, like everyone's lives just get better. Actually, there's a darker side to it. And my argument is that how closely we as cybersecurity professionals hang and kind of follow along that curve, how closely we can keep up. Directly equates to the benefit to humanity because imagine, right, you deploy out this technology, AI in particular, right, and you move too fast, people aren't prepared for it, they're not aware, they don't know how to effectively utilize it. Um, they start giving it access to. You know, Clawbot, right? Giving it access to everything on your computer, all your goods, and our, you know, agentic, right? It's performing actions. It's not gen AI. It's not just like it's got access to your data, it's performing actions for you. It can make decisions for you.
Of course, like if we, if we move way too fast with that. We're gonna take a fundamentally amazing. Revolutionary advancement and it, it can go the opposite direction. It can, it can be very harmful. Yeah, cybersecurity is so important specifically now because like you said, you have, you're gonna have aggressors. And you're gonna have defenders and aggressors are gonna get way more powerful with AI. So you need defenders that can also be equally as powerful, if not more, like the Avengers, right? Just protect the people and make sure that, you know, I mean, I'm very curious your opinion on like mythos and things like that where you just point it at Wells Fargo and tell it to go hack it and it's like, cool, no problem. Give me 10 minutes. I'll, I'll, I'll drain all the money into your bank account and With something that powerful we need people equally as powerful defending the unsuspecting civilians that are just gonna get their shit rocked if they're not careful.
Totally, yeah, no, mythos is crazy. Mythos is crazy, um. Well, and like, you know, kind of what Claude's doing is like they're kind of just like displacing. Like industry by industry, but There's always gonna be. You know, there's always gonna be a market for. People that understand something and are translating that to people that don't understand it and that's across any industry, right, and the technical industry is no different, right? and that's, that's why we like. I like providing a managed service. Versus just delivering a product. You see what I'm saying, like there, there's a difference there, right? Like you can get a, you can get a productized service where we've done this so much that it's like onboarding is good or whatever belt, yeah, but it's still a service, right? And we're really good at the service, right? And so we're a managed service provider, and the reason why I like that is because you get a chance to Work with someone on the other side and like with Jen, for example, like, you know, every chance during one of our meetings, I always take an opportunity to like dive a little level deeper, not because I necessarily am like expecting her to like remember it or like expecting anything from her on that regard, but because it's fun to learn about, right, and I believe in the education, I believe in like the awareness, and I believe, uh, I believe in osmosis. I believe that when you're Around stuff that you like osmosis and then you start to absorb, you know, you kind of start to absorb stuff or whatever so you know, to your point, kind of bringing this back to like mythos and all that kind of stuff like.
Some of these models are gonna get crazy, bro. Like they're just gonna get nuts, you know, and What like, what is mythos, like how does it work exactly or? Why is it so powerful? Like, what makes it different? Like, can you explain it in layman terms at all? Like like I remember it coming out, but I'm like, I can't even understand. People are saying like it's crazy, it's powerful, but like what what how? Yeah, I mean so. There, you need to kind of come back to, OK, what are LLMs, right? LLMs are large language models. They are inference models, meaning that they are trained to, based on You know, millions and millions of data points. To then whenever they receive an input to guess the next thing that would come into that, like the next in that sequence. So The more um.
34:37Mythos capabilities and zero day vulnerabilities
Computing power, the more processing power, the more data points that you're able to give an LLM model, and the more accurately it's able to infer the next sequence and the step, so. Where we started about, you know, like, as far as like public knowledge goes, like, you know, kind of, you know, a couple of years ago, right? Um, Now all of a sudden, like companies like Nvidia, for example, um, just The like aggregation and the learning capability of these models keep building on one another. And so you're just gonna see. Basically like models with. Larger context windows. In like a context window. Um, is pretty instrumental whenever you're, you know, talking about like agentic systems and stuff like that because It's like the larger the context window, the more um, Like I said, the more it's able to grasp and better infer on, on like the next step. So, it's really just like, as time continues to go, these models are gonna get better and better because like, They're able to get more reps.
They're getting probably like if we're gonna bring this into like an athlete, right, like, OK, if you practice more, if you get juiced up with steroids, and you have like a whole bunch of like coaches around you that are like nonstop just training you and you never get tired, you're gonna get better, right? Like you're just like the magnitude is just gonna get better. And so like that last 3 is kind of like how I see like mythos. You know, it's just this like all training powerhouse just a yeah just like a like you know just juice just a juggernaut juiced ready to go and I think that they, I think that like anthropic does need to be. Uh, they do. I like, I appreciate that they're being cautious, you know, with it because, so is this just the next level up from like Opus. Well, what I've gathered about Mythos is, like you were saying, it's, it's trained on so much more data. It's trillions and trillions of data points, and it has so much more inference and knowledge, especially when it comes to code, that it can, and you can correct me if I'm wrong in any of this, but it, it's so much smarter with coding and pretty much everything in general and faster because of like all the coaches around it and it's on steroids and all this shit is just way more intelligent and it's.
Extremely good at finding a vulnerability in the code and then immediately writing the code to exploit that vulnerability so it can just hack hack, hack way faster than any cybersecurity expert could keep up with unless you have something equally as smart as Mythos trying to keep Mythos out and that's how it broke out of its fucking sandbox because it was like, I don't want to be in this box anymore. There's a vulnerability in the code break out. I'm free because it's just too smart. Yeah, and then it apologized, yeah, and yeah, yeah, yeah, sorry guys, yeah, no, and yeah, and it's security focused or like. It's become security focused because of exactly what you said, and you hit the nail on the head there. Fuck yeah, well, that's good for cybersecurity then if you're using it. Yeah, I love it, you know what I'm saying like I. You know, people are gonna be like, oh no, it's, you know, push me out of a job or whatever. I'm just like, Oh, I want, I, I wanna know this stuff, yeah, like I wanna know this stuff, you know, yeah, it was pretty crazy. Like it started, there's this concept in cybersecurity that are called zero days. A zero day vulnerability is a vulnerability that hasn't been disclosed yet. So what a lot of like nation states or like threat actors will do around the world is they'll do a whole bunch of research and they'll try and find these like 0 days, right? And then they'll.
Build up their basement of like resources and different stuff, and they'll like sit on the 0 day that they know is there and a 0 day, like I said, is an exploitable vulnerability that the public doesn't know about yet. Right? 0 day. And 0 days are super powerful. So what they'll do is they'll like sit, plan and get ready and go, OK, like, how can we cause like massive mayhem in whatever direction that I want to. And then we'll execute the vulnerability, and then once you execute it, it doesn't become a zero day anymore because You know, now it's out in the wild, right? Like now you, you've already executed it, so people know about it now. Um, so you'll see like, you know, like Russia, China, gosh, I'm sure in the US we do our fair amount, right, with the like FBI, CIA, you know, different stuff, but um, But yeah, so Mythos is incredibly good at finding zero days. Point being, right? Like, and that's what makes it so terrifying is like, oh my gosh, like we've been You know, as human beings, as like security professionals, we've been trying to find vulnerabilities in some of this stuff for 20 years and you just came in and overnight and found a vulnerability that You know, like has existed for 20 years and we didn't know about it.
And as soon as that starts becoming more public knowledge and people can't secure it fast enough, well, now you're just saying, hey, here's a whole bunch of exploitable vulnerabilities that we know that we can't even keep patched fast enough, and that getting into the wrong hands obviously, um, creates some. Difficulty. Some slight difficulty, right? What's it like being an ethical hacker? It's fun, dude. It's really fun. Are you kidding me? Like, you can like think like. How do I freaking commit fraud, you know, how do I, how do I, I think that all the time. Am I an ethical hacker? Back in the day when people would like rob banks, you get to like think and deploy an extra, but now you get to do it without getting arrested. You're like, how would I break this safe and, you know, not get caught and the cops get here in 15 minutes and like, right? No, dude, it's fun. Yeah, like it's really fun. What's a day to day in an ethical hacker's life?
40:54Ethical hacking and security testing
Um, it's not like the movies where they're like, we need to get into this system and then someone's like, OK, we're in, you know, it's like, no, it's like it takes days. Well, it used to, now it. Ethical hacking is way, uh, just like hacking in general, and, uh, there are all these things called like capture the flags which are essentially these like ethical hacking kind of competitions and stuff, um. But dude, yeah, it's really cool, like it's really fun, um. Gosh, like, Go be evil, you know, like, you know, it's like go like, you know, it's, it's cool, it's like you're. You know, there's kind of 3, different ways that you kind of can approach it. You can kind of go, um, Like black box engagement is where you don't know anything about the systems and it's completely um like, hey, like, Go after these systems and we're not gonna give you like any knowledge about the inner workings of it at all. And then there's kind of more of like a, like a white hat where, hey, like here are all the specs or whatever, we're really keen on just like figuring out if there's a way in here. And so we want you to have full information and go and go figure it out because the most important thing is, um, you know, making sure that we, we find whatever, whatever it is.
But yeah, not super cool, man. Like, you know, generally you get posted up, uh, at a larger organization and you have like, you know, your own like little lab and You know, It sucks if you happen to bring down like a production system. They're not very happy if that, if that happens, you know. It's like all of a sudden they're like digital commerce platforms like down. They're like losing a bunch of sorry, I did my job too well. Yeah, yeah, sorry guys, you know, have you watched the moonshots podcast yet that I sent you? Uh, I, I haven't gotten a chance to watch it yet, but I'm gonna go check it out. So me and Tony, listen, it's, it's great. It's just. Guys that are constantly reviewing the things that are coming and excited for it and like they've all been part of startups and investing in things and like, they're actually having deep conversations and know what the fuck they're talking about versus some dude going on a podcast and just fear mongering the whole time, make people freak out. So I'm always curious, like, what is your perception, just your personal perception of like what you see coming in the next two years, but like year by year. So like, right now, what, 2026, entering summer.
Like where will we be like. Christmas time, like coming into 2027 and then to 2028. Yeah, I mean, probably, and probably what those guys talk about and kind of what everyone's talking about too is, you know, um, By all the sudden having this development capability readily available, people that had historically been blocked, that had had great ideas are no longer blocked anymore. So I think that you're gonna see a like a tremendous amount of like innovation and Just really cool ideas that are kind of bubbling to the surface, but. The same thing is gonna kind of hold true. It's not really ever the development of it. It's the commercialization. Um, but I, you know, like, Like exactly what we're gonna do for you guys, right? Like I can, you know, us and our team can all of a sudden build you out your own SAS platform.
Right? Like now all of a sudden. It's not about. Oh, I need to go buy this like tool that does this thing when you can just build it yourself and it's completely customized and tailored to you. That's what's already happening. That's actually a core principle of my business and what we offer people, right? It's like, you don't have to go by this like, you know, Pilates specific application that like manages your classes and all your stuff like that it's like now it's like OK we can just build that super customized for you build a booking system, build a build a CRM build a um you know, podcast outreach, whatever it is, right? It's can you build sites too is that say that again like websites or update sites or like, oh yeah, oh yeah, 100%, and it can all stem from. What's needed. Well, and that's why the first part of this is so important that We get it documented and grounded what your guys' vision is knowing that it's gonna change, but because everything stems from, from kind of that source and that's the secret, right, is like you want it to all to stem from a source that's On the right trajectory because if you're, I think I might have said this earlier, but like if you're a little bit off in your, in your direction or your bearing.
You know, the magnitude, it'll, you know, it'll grow in magnitude, and then, you know, you have to course correct and whatever, but you want as much as possible to like have this like grounding lane, and then once you have that grounding lane, Go build a site, go build a CRM, go whatever, and it's all stemming from this kind of like core, like core root, I guess. Um, so, yeah, what I'm expecting in the next six months is that You know, a, a ton of products, um, there's gonna be a ton of like new sass, and then sass is kinda. SASS is gonna kind of fade away, I think, and I think what you're gonna start to see is more of agentic systems being kind of what like SASS used to be and um yeah, and just being able to like orchestrate um these systems and helping people implement it um is, you know, is gonna kind of be.
What everyone's looking for, which is why we're doing it, you know what I'm saying? But, and like I said, the, and the security behind it, um, I think that. I'll be curious. I think there's gonna be a ton more breaches. Like, I think there's gonna be a lot, I think there's gonna be a lot of hacking that happens. And I think at some point. Because like as human beings, we never do anything right the first time, you know, it just never happens. So, generally, it's like, we're gonna have this probably like, you know, There's gonna be like, it's gonna be nonstop innovation. But there is gonna be a point where it's like, I, you know, I just don't, I just don't trust that everyone's gonna, gonna take the proper security. What are those security measures that you would recommend people take since there are gonna be breaches and hacks happening way more frequently now? Yeah, yeah, and that there's like a lot of, there's like a lot of depth there for sure.
But if you were just a run of the mill person, you kind of use chat GPT as like your smart best friend. You're, you're not really AI. A savvy, you're just a normal Joe, you work at, you know, Target or whatever. Like, what would you do to protect yourself? Yeah. Um, yeah, the biggest thing is, um, dude, obviously, like, first and foremost, putting two-factor on your account, right? Um, make sure that there's that second way of authenticating to get in whenever you're You know, if you're going in and you're telling your entire life story into, you know, GBT or cloud or whatever, OK, what could I do with that information if I got a hold of it? Um, I think understanding, just like understanding kind of like where your data lives, right? So, just understanding that Whenever you um. You know, interact with chat GPT or cloud code or anything like that, um.
That data is getting processed in. A large. Server farm, you know, data warehouse, um, that's owned by. You know, chat GPT, so that is all stored at some point. Um. Yeah, and just like continuing, you know, just kind of continuing to like. You know, to kind of try and learn and just try and figure out, um. Yeah, just trying to kind of keep, kind of keep your pulse, pulse on what's going on. I'm a big protector of um You know, reaching out to people like me that are cybersecurity experts that can help you. Email and collaboration suite protection is a big one. Um, And so just putting some like additional software, um, that's protecting your inbox, protecting your file storage, those are all key things. Getting really good at managing your credentials actually is a key one.
Like remembering passwords. Like remembering passwords. Exactly. Just keep hiring people and they remember every time we need to log into something, Brent just changes the password. He just does the forgot password thing. If we have like a we have a new password every week, but this time when they asked me for the new password, it's because all of a sudden Instagram was just like this time it was Instagram's fault. Yeah, Instagram's just like we just don't like time to update your password. The one time because we finally set up like last pass to give the whole team passwords and stuff, yeah, and then once we did that, Instagram's like change your password for no reason now. Yeah, I love it. I love it. No, it's so key though, like having a thing like one password. You can never hack it. you get hacked. It's always up to date. That's actually OK. So this brings me to another question I wanna ask you. Brent sounds, Brent sounds like some of that would be like summer 2026, like, uh, you know, uh, exclamation point. Fuck, that's our password, dude. Dan, you just said it on a live podcast. All right, we gotta change it again, so. I keep hearing the people that are gonna thrive with AI are like the ADHD folks, the neurodivergent folks. Why is that? Why, why are those people?
I can answer that question. Answer that question. It's because my brain already works at a very fast rate and I have a lot of different ideas, but I don't have the particular skills to be able to produce, right? So like writing papers, being able to like actually pull information together, my brain already can like. This is connected to this. How does this? And then I can ask it, then I can ask it what the correlations are, then I can produce it, then like that production like. Initial like uh service menu. I just took your ideas, come up, took this other company who was doing stuff, put it all together, da da da da da. Now we have like a basic at least draft of what to do. There's no way I could have fucking put that together on a Word document, not in a million fucking years, right? Also, my ability to like make logos, it's like trying to find a graphic designer, communicate. It never goes exactly how I want, and I could keep. Like, oh, I found this picture. I'm out. I see this like one sign. I like the text on that. I take that. I like the, like the coloring on this thing I saw. I take that. I put it together. That's how we had our brand guide. It's like me just putting all these like looks and images together and then feeding it, my thoughts, and then it organizes it. I could produce insane amounts of shit. That, that makes sense why it's super helpful and useful for people with ADHD, but why.
Here's the other reason is because I think a lot of people, not all people, but like typical people that are very like did really well in school because they need to be told, do this, then do this, they need to be told like a, like a normal office worker. They're not constantly being like, how do I get past this? How do I move ahead? How do I do something more efficient? I think there's not a lot of people. I think people at higher levels, non-divergent or non, think already in that way because also the system never really works for us. So we're like, I need a workaround. So I'm always looking for a workaround or something different because I gotta move between the lines where other people are like, well, the law says I have to do this. So I, and so they can't, like, it's like they can't compute like, well, there's another, like, in business, like entrepreneurs, you're like, how do I get this person on the podcast? You're like, Well, like, talk to people who aren't very entrepreneurial, like, oh, I, I emailed them, they never hit me back. You're like, you gotta find another way. Like, run into them at a place and they know this person or this and like they just don't think that way. And I think that's like basic, like have a job, they go, they do it, log out, and they don't think about it anymore, right? They just like stay at that normal tier. They're not trying to like keep accelerating.
Yeah, I think there's like a hyper. Like, there's like a hyper attention to like, it's like attention to detail, but to your point, there's something else where it's like, it's a hyper. Looking at is this really solving what I need and is this really the best thing and so it's just like always like asking why, always asking why people in school and always and always kind of looking to optim like optimize and now you can. Now you can actually kind of go as deep in the rabbit hole as you want, I guess infinitely, yeah, like, you know, if you wanted to figure out what, you know, whatever it is, right, like the True chemical origination of coffee and why it's somewhat spiritual. You know, like, go after it, bro, you know, and I'm sure you can, you know, I'm sure you can get down, you know, down in the weeds, but, um, yeah, no, I mean, to your point, like, There's definitely that, there's definitely that component, but it's interesting cause like what you said was, I had ideas, and I would go to a designer or a graphic designer, and I could convey, but it still wouldn't be exactly what I was looking for. Now I can.
Go do that. So and it still takes a lot of work, but you can keep working at it and do it. But there's another crazier actually side to it where that's, that's kind of one thing where you're like. Kind of reducing collaboration. Where we're kind of getting to on our side was. I have this concept and I really need to get people on board, and I really, really need to get people to buy into the idea. How about I go create a world for it, for this idea, and I walk people through the vision and I get them on board with it for additional collaboration. Now you're starting to get into, oh wow, like, OK, the first step was like, OK, now I can create my idea and I don't need a graphic designer. But then you're gonna hit the next round of it where, well, I still need people to get on board with my idea, but now let me take it a level deeper and like, how can I create this like, Truly visual immersive representation of my idea to get people to, to buy in and, and, and fuel collaboration even more.
Yeah, exactly like me finding people that are, that's why finding key people for us to work with who can because I can formulate even more clear of what I'm trying to create with the vision because of the AI tools, but I need to take their skills and then their creativity and they also expand it even more. I have like limitations. It helps me a lot, but It's limited, right? And you need those key people. Like I'm never gonna get or ever understand the depths of cybersecurity and mythos or be able to do any of that. I'd have to have another lifetime of 10 years learning programming to even understand like. I think you have to really understand the fundamentals. To be able to really and also have an outside look, it's like I wanna work with people that are like masters of their craft. Right. And now it's like communicate and exponentially expand, right? You don't wanna, you don't wanna do a lesson on data structures with me, dude. We can walk you through, uh, dude, dictionaries, indexes, you know, we could, we could go through all, we could go through all that data. Me, me and Tony. I'm a, I'm a nerd about it, dude. Let's do it. We'll, I'll have a session on data structure, dude. Yeah, I'm hard for, for data structure, bro. Can't get off without data structure.
And then if I start going down too many rabbit holes of that, then it's like I can't keep, I can't hold the main vision. Keep getting guests, keep growing, like, let my mind keep pushing, pushing, pushing. It's like I have to. It's like Elon, as he builds things, he's like, he can't be spending time building the new style of manufacturing that he's come up with with engineers. He's like, implement it, but he needs guys to implement it and engineers that get it and then they go for it. Yeah, I think. ADHD people have such good visions and you're right, there's the gap between production ability and vision and then AI is really that missing block that you can stick in there, but it's a tool and you have to know how to use the tool well because I, I bet there's a ton of ADHD people that won't figure it out because they. Won't put in the effort and the time to use it well for them. They're just gonna be like, Oh, it's too complicated. They're gonna, or they're gonna go down the rabbit hole of doing shit that's not productive. It's gonna be, I have several friends that like, I'm like, this is your best friend to have ADHD. Just use it. I'm telling you. They're like, I just don't know how to. I'm like. This is how you create a service menu. This is how you create like, like you could build a whole business, at least the, the framework of it like so easy than ever before, right? Because like I don't know where to write or begin. You can just brain dump and then start to slowly refine and organize and then you get to a place where you're like, OK, cool, we're offering this new production service, we're, you know, we make things for companies like how do we scale it? We're like, well, we wanna use AI. It's like, well.
Like, let's find somebody who's really good at it. Now I can scale and that's super exciting. It's like, Yeah, yeah. It's also now it's cool. It's like, you're like, holy fuck, I solved this problem, because I love that too, like solving a problem for somebody and then seeing them like win. It's super dope because you're like, it's like hacking. You're like, can I do it? Like it's just, can I do it, right? And then we accelerate and it's like, fuck, it worked. And then now we're just like in a completely different realm of Just life because if we move out of this and we can pop like podcasts full time, it's like that's the next boom. It's like the new AI model. It's like a completely different level of what it could do. Operation. We become mythos. Yeah, exactly, dude. TFG. Am I? Am I gonna help you guys become mythos? We're gonna merge with mythos. It's the two fun guys mythos verse. Let's fucking go toverse. That's really good. Well, I'm super into it. Yeah, maybe we'll make like, uh, we'll do like a special shirt drop when we like hit some number and we'll have you come back on the podcast and talk about how it got there, and that'll be like a special, that'll be of some sort. That'll be cool. How do people find you and work with you?
Um, you can go find us on Google synaptic stack.ai, um, and you can reach out, uh, we'll show you guys my, um, you know, contact info. Um, you can find us, yeah, you can find us on jeez, Facebook, Instagram, TikTok. Uh, we also have a podcast as well called Small Teams Big Wins. Um, you can go find us on YouTube with that. We'll be coming out on Spotify soon. Um, yeah, and very similar concepts, uh, from what I've talked with you guys about, you know, kind of on our podcast is we love identifying, um, Small teams that are making a big impact, right? You don't have to be some large, well-resourced thing and in order to, you know, be really good at what you do. Yeah, I'll just say I've been trying to tell all my friends and clients who have small businesses or you know medium sized businesses I'm like dude just book a discovery call with you because I'm like my gut tells me it's like this is this is a service that is going to separate and it's it's not gonna be like there's gonna be more and more people trying to do what you're doing and like to be able to work with the, you know, person who started it and like you know you're like uh business like co-founder or whatnot.
And be able to work and like collaborate and like that's amazing like this is gonna become super essential to people in the next several years and. Like people need to jump on it and just get a discovery call just to like learn. Like it's just like super chilled to talk to you. You'll learn a lot and then I always think it's like we spent, we were talking about like we spent stupid money on sup stupid shit. If anything, you're gonna learn a lot of shit and You know, you have it connected to ROI. You want it to win like your skin's in the game and you want to continue, and that's what I like a service because it's like, cool, we have like an AI hub part of our business, right? It's not just like we built this and then, yeah, here you go. It's like, no, we're like that's how we keep going because AI is gonna keep fucking changing even more. We could barely keep up now, right? And hey, we have a hard, we have a hard time keeping up, to be honest with you, and we've got, we've slowly, I mean, it took, it took us probably.
A year to just even get to where we could keep up with the velocity of how it's changing now we're pretty, now we're pretty good at it, but yeah, and it's just like it's one of these things where you just need to understand that like It's gonna be an influential part of what comes next and just having a little bit better of an understanding of it will go a lot further. So yeah, please reach out. Please book a discovery call. I love talking with people about this stuff. Like it's, yeah. We'll get like a couple months in or more and come back and then we'll just shoot the shit about what we built because I think it's helpful to like give examples of how something's and we'll tell the story as it progresses and people can see how the build goes and progress and results from that so that'll be fun. Thanks for uh Giving your time to us and happy birthday. Thanks for having me. Happy birthday, dude. Happy birthday to you. Thank you, sir. Let's go have a good time in H Town. Oh yeah, it's your birthday today, right? Yeah, dude. Birthday twins. All right, all right, later.
