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Navigating AI's Frontier: Nick Capello's Tech Journey and Ethical Insights on The Patrick Bass Show

September 02, 2024 Vanguard Radio Network

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Discover the secrets of the ever-evolving world of technology and artificial intelligence with Nick Capello, a seasoned CTO who has navigated a remarkable career spanning over two decades. Listen as Nick recounts his journey from a modest help desk role to leading innovation at Fortune 100 giants like Amaco Oil, Coca-Cola, and Fannie Mae. His story is a testament to the dynamic nature of the tech industry, filled with personal anecdotes and valuable insights that demystify the current state and future potential of AI.

Explore the ethical and philosophical dimensions of AI's rapid evolution as we address the profound implications of its omnipresence and omnipotence. Our conversation with Nick delves into the necessity of ethical guidelines like Asimov's Laws to ensure AI development benefits humanity. We examine how technologies such as automated personalization in social media and e-commerce can subtly influence our choices and discuss the broader need for balancing AI advancements with stringent ethical oversight.

Finally, we turn our focus to the profound impact of AI on human interaction, particularly with advanced personal assistants like Alexa, Siri, and emerging technologies like Gemini. Nick shares his thoughts on how these AI systems are evolving to become more intuitive and proactive, potentially transforming into symbiotic partners in our daily lives. From the ethical considerations in healthcare to the nostalgic influence of 80s tech-themed TV shows, this episode offers a comprehensive look at how AI shapes our world and the importance of a customer-focused approach in IT consulting through Nick's own venture, 404 Ninjas.

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Speaker 1:

Okay, cue everybody. We're going live in 5, 4, 3, 2, 1. And now live from Fort Smith, arkansas. This is a planet-wide broadcast courtesy of the World Wide Web and affiliate radio stations across the globe. It's the Patrick Bass Show with your host, patrick Bass. It's the Patrick Bass Show with your host, patrick Bass. All right, welcome back to the program. The Patrick Bass Show on the Vanguard Radio Network.

Speaker 1:

So glad you're here with us on what I call an incredible magic carpet ride into the unknown. Another great guest lined up for you today on this. What is this Labor Day already? Geez, we're going to be talking to a guy who is diving into the world of technology and AI headfirst, a CTO with over 20 years of experience. I'm so excited to have him on the program.

Speaker 1:

But before we get there, I got to tell you a couple of things. Don't forget our website, pwbasscom, facebookcom slash RealPatrickBass and, of course, our YouTube channel, youtubecom slash at RealPatrickBass. All of those are available there to you. I'd love to hear from you. I love hearing from my listeners, because it helps me connect with you guys and tell us what we're doing right, tell us what we're doing wrong, what you'd like to hear. Also, our call-in studio number is open toll-free 855-605-8255, if you'd like to get in on the action. We're going to meet our guests when we come right back, but first we've got to check out and pay a couple of bills, so stay tuned, we'll be right back. This is the Patrick Bass Show.

Speaker 2:

Don't forget to hit our website at wwwpwbasscom.

Speaker 1:

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Speaker 2:

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Speaker 3:

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Speaker 2:

Having the conversations everyone else in the media are scared to have.

Speaker 1:

Welcome back to the program. Hey, uh, I want to encourage you guys to go check out fitsnesscom. Uh, fitz kohler, a friend of mine, is helping me get my health in order. I'm on a mission to lose um enough weight to make a fat guy. Let's just say that and it's all public. I'm putting everything pictures, measurements and uh just to share a little bit of success with you guys. In the last month I've lost 28 pounds following her program and, uh, you can read all about it. I post uh on the on the blog several times a week. Go to pwbasscom and then click on my weight loss journey. People say, patrick, why are you putting all that out there? That's how I stay accountable. That's how I stay accountable. It helps keep it authentic and it helps keep it real, and if I can encourage and help somebody else along the way, that's all the better.

Speaker 1:

Okay, my guest today is such a cool dude. We've been chatting before the show. In fact, we almost missed our start time because we were just having such a good time talking. Nick Capello he's a tech industry leader. He has over two decades of experience and he's the chief technology officer, cto, who has played a pivotal role in Fortune 100 companies. He drives innovation, he leads major turnarounds. But the thing is he's not just a tech guru. He's a visionary with a really fascinating journey that spans all the way from the suburbs of Chicago to the cutting edge of AI, to where he's at now in Atlanta. We're thrilled to have him here and to share his insights on AI and other things, tech and, frankly, anything he wants to talk about. We'd love to hear whatever he thinks is important, how it impacts our lives and so much more. So welcome to the show, nick. How are you doing?

Speaker 3:

Patrick, it's a pleasure to be on here. I've been waiting for this for quite some time, yeah, so just a little bit to go ahead. I mean, my cheeks are red here. I'm almost speechless after that introduction there. But just a little bit more about me. I've been involved as far as computers ever since I basically got out of college. I started off at the help desk, worked my way up and stuff like that, and I was actually able, and I was actually very lucky and privileged to work for companies like Amaco Oil, coca-cola, fannie Mae and a lot of those ones. So I was able to go ahead and take all of their best practices and all their recommendations and stuff and kind of twist and mold it into the person and into the tech that I am today here and that you know. That is how I've gone ahead and I've got into, like the world of AI, gone into the world of, you know, computing and stuff like that, because all this is just a fascinating, fascinating thing.

Speaker 1:

I agree, ai is something that I really enjoy talking about, and there's a lot of misconceptions about AI, where it's at in terms of its evolution and technology. Is it sentient? Is it not sentient? Is it just a bunch of databases that have really smart algorithms?

Speaker 1:

You know, I hope we get into all of that, but one of the things that was straight off that you said that I caught right away is that you started at the very bottom, at the help desk. Yeah, and I did too, by the way, and I think you know there's a lot of people nowadays and I deal in IT education and there's a lot of people that are just like they get out of college and they get a certification or two and they expect to start somewhere in the mid to upper tier. Well, they don't realize you got to pay your dues. So hats off to you starting at the bottom, working your way up and taking all of those experiences from all of these different places, and now you're doing your own thing with your company. So I just wanted to recognize that and say you know, I think some of the best tech leaders started out at the very bottom and worked their way up to the top.

Speaker 3:

We'll see. We'll see, patrick. You brought up a very good point, and thank you for the kind words, man. That's a lot. You brought up a good point.

Speaker 3:

Though, if you don't put yourself in the user's shoes, you're just what I used to in the user's shoes, you're just well. I used to refer to them back in the day as paper, as paper MCSEs and paper Nobel CNEs and stuff like that. They know what happens on paper, they can go ahead, they can, you know, work on it and stuff like that. They don't know who they're working with and who they're working for, and that is the largest detriment that you could ever get to any corporation, and that's one of the things that I tend to excel at.

Speaker 3:

I've always been the type of guy that I'll go ahead and give you the answer, but I'll also teach you through that answer as well, because I know for a fact that, me telling you the answer, it's going to go in one, go in one ear, out the other. If I teach you the answer and I sit there and take the time, I'm treating you as an equal, not as ah, I am the tech. God Fear me. You know this way, this way, you're empowered. You know I can't go on enough to say anybody that's in this needs to start working more with their end users. I mean, granted, in programming and stuff you can't really, because you don't want to say, hey, go ahead, open the compiler and do this, but you know, when it comes to when it comes to customer service and when it comes to actually knowing your customer, the best thing that you can do is start out and sit in their shoes. What do you want? What do you you need? What do you request when you're having a problem?

Speaker 1:

Well, I absolutely agree and I would even challenge programmers to put themselves in their user shoes, especially when they're designing a user interface.

Speaker 1:

Absolutely.

Speaker 1:

You know a lot of times when I've I'm not a great coder, by the way, but I, you know a lot of times when I've I'm not a great coder, by the way, but I, you know, I I can do what I need to do, primarily to get things done that need to get done.

Speaker 1:

But when I, in those few times where I did design something that was being used by a user, I would have you know I think it's working great, it's very intuitive to me. And then I go get somebody else to to try it and they're like this doesn't make sense, right, and it's just what you said putting yourself in that end user's shoe, uh, and walking up, walking in, uh, walking their path for a little bit, and then also understanding that whether you're in it or security or whatever, you're basically a cost center. You're a commodity, you're easily replaced. So you can't put all these encumbrances in the way. You have to allow businesses to do business stuff, and that's why you're there to facilitate that and make it a much better and easier process. What's your thought?

Speaker 3:

Oh yeah, oh yeah, most definitely I mean me. I'm a drain on resources.

Speaker 1:

Yeah.

Speaker 3:

And the way that I give back to that company is by going ahead and rejiggering their processes kind of make sure that they can get stuff done faster, making sure that their line of business offer is the correct one, making it work, making it sing like it needs to. And also the one that everybody dreads is I am the devil's advocate. I will always be there to say I really don't think so. But when I say no, I come armed with that hand grenade. For no, I don't just say no, you can't do it, because I don't like it or I don't want to do it.

Speaker 3:

I come in and I give you at least five good reasons why, and if you continue to do it, that's fine. I at least try to go ahead and quote unquote, show you the light there, you know, but yeah so, but going back to what you were saying, you know, as far as like designing a user interface if you don't know who your people are, that's where we're sitting at right now. As far as AI, ai can only do what we tell it to do. You know, we prompt it and we prompt it to the best of our ability and it spits out what we put out, because it takes literally. It has no idea that, uh, john in accounting has a vision impairment, so he needs his font just a little bit bigger. And it has no idea that Mary in accounting is a little slower than normal, so she can't click the mouse fast enough. So it just takes what you tell it. If you really want to think about it.

Speaker 3:

Patrick, ai right now is the toddler. We're looking at a toddler, but this toddler has the information of basically the known universe sitting at his disposal and he can recite it like that. Right, but he does not know enough about his world and his surroundings to go ahead and make his own judgment. He's still learning, along with I mean along with the rest of us. I mean life is. You know, as you go on in life, you don't stop learning. The minute you stop learning is the minute you stop living.

Speaker 1:

I agree. Let me ask you a question, to put it in a vernacular that some people might understand a little more easily If we were to compare the evolution of AI to the evolution of the personal computer, what would AI be right now? Would it be like a VIC-20?, would it be a 386?

Speaker 3:

What would it be, I'm going to go ahead. I'm going to give AI just a little bit of credit. Right now we're probably out of the 80-88 stage and this goes to show you how long I've been in this business. I remember the 8088s and we're talking probably on the verge of the Pentium 3, pentium 4, just getting into that 286 stage right now.

Speaker 1:

And that's when stuff started to get really interesting. If you have been around computers long enough to understand the importance of those particular microprocessors, I think and I want to get your opinion on this, and then we're going to get into some of your other topics point almost to the point where ai can now begin to improve ai and it becomes very recursive and and when that happens, we're going to begin to make huge gains. You know it'll take moore's law, wad it up into a ball and throw it in the trash can, and instead of being able to double our technology uh capacity every 18 months, we might be able to do it every three months or every six months right, yeah, but but as the thing that everybody needs, the thing that everybody forgets is the fact that ai eventually will have its own version of a conscience, it's going to have its own version of what its reality is.

Speaker 3:

I mean, we saw that, we saw about. I think it was like 2020, 2021, when the two Facebook AIs started talking to each other and they were supposed to sell each other One was supposed to sell a bat, one was supposed to sell a ball and it just started saying, hey, I have ball, hey, I have bat, hey, I give bat, no, bat, bat, bat, bat, bat, bat, ball, ball, bat, bat, bat, bat, bat, ball, ball, ball, bat. And started talking, but it understood itself. We had to unplug it because we had no idea what the hell it was saying, but it knew what it was saying.

Speaker 3:

So the question is do we let AI evolve on its own and, you know, be a sentient being or do we tend to want to coach it? Do we need, like Rossum's Universal Robots or Isaac Asimov type of laws for AI? At this time, I tend to say yes because, as with anything, I mean okay, I've got a pen here, I can use this to go ahead, I can write a statement, I can write a check to give you some money. I can do everything else, but I can also take this and shove this in your eye and the next thing you know, your sand's one eye. But this pen was made for the betterment of mankind. But if you use it the wrong way, it's going to hurt you.

Speaker 1:

I think some kind of Asimov's Law. Something has to be put in place. It's got to have some type of Asimov's Law, or something has to be put in place. It's got to have some type of moral compass. Yes, you know, humanity has that. In various different religions. There's the Ten Commandments. You know, other religions have other paradigms that seek to guide morality and put a framework around that. If we don't provide that to AI, then it's going to evolve its own and it's going to prioritize whatever it thinks is important. I remember that Facebook experiment you were talking about. If I'm not mistaken, the two AIs eventually developed a language that was unique to them so that they could they could communicate more effectively.

Speaker 3:

Yeah, I mean once once they started out, once they stopped with the bat, bat, bat, ball, ball ball and getting that pattern, they you'll you'll see in like the, you'll see in like the transcript, like just maybe about 10 seconds of like nothing coming out. Then it's just starts gobbledygook, absolute gobbledygook. But the gobbledygook repeated from one to two and then you started seeing it form into more efficient gobbledygook. That's when they decided to pull it. It was like oh, whoa, whoa, whoa, we're not good enough to handle this stuff now.

Speaker 1:

I've asked this question of others that I consider arbiters of AI, which I put you in that rank. So let me pose this question to you. If AI at this point you said it basically has all the information from all of humanity at its fingertips, but it's got a toddler's understanding of how to interpret and relate that, when we get closer to something along the lines of AGI, it's, for all intents and purposes, going to be smarter than all of humanity throughout all of history put together all at once. Right, and in many respects that's, that's a, that's an omnipotence, it's an all knowing and if it's distributed, you know it's also everywhere, at all times. Those are two godlike qualities. At what point do we become servants and it becomes master?

Speaker 3:

Oh hell, we're almost there right now, so let's go ahead and let's talk. I'll answer that question in full in a little bit, but let me talk about how AI is kind of sneaking up on us here. So like, right now, um, we've got the automated uh, right now we've got the automated personalization AI coming into your social media platforms, e-commerce websites, all that kind of streaming services, and it's telling you what you want to see and what you, you know, because it it sees what you've shopped for before, it sees what you've done before, and it says, hey, I see, I see that you watched, um, I see that you watched, uh, the killing fields. I see that you watched, uh, flipper and something else. So, therefore, I'm going to recommend you this thing called the cove. Now, the cove is just a nasty as nasty movie about killing dolphins and stuff like that and all that. But I mean, I mean I wouldn't make that choice, but it just knows that you just watched those three movies, and so the common thread in it is, you know, marine life, with a little bit of hostility. So it's going to recommend you something marine life with a hostility because it doesn't know you and, to be honest with you, it doesn't care about you. And that's the one thing that's like oh, that's where we're going to start to get into that.

Speaker 3:

And then let's go ahead and take your standard cell phone. You've got Alexa and you've got Siri and you've got Gemini now and you can go ahead and give it the call signal. I don't want to do it because the speaker will turn on over here and you'll say, hey, what do I have in my calendar for today? And it does it because it knows your voice, it knows everything. Eventually, once Gemini starts getting a little bit more popular you know into this and once Alexa starts getting a little more smarter, it's going to be going ahead and it's going to be starting to ask you hey, I see that you've got this, but you also have this gym deployment and you have this, this and this. Do you want to move this out for you? So it's going to start doing that really soon. I mean, we're going to see that within Bryce. We're going to probably see that within the next three years. It's starting to do that.

Speaker 3:

And you know, I mean let's go ahead and let's take like predictive analysis here I mean sorry, predictive analytics. So I'm sitting there, patrick, and I want to buy one of your shirts. You know, and it knows, the AI knows that I've bought shirts with a red coloring, black design and stuff like that. So it's not going to show me anything first. That's not red and black. It's going to show me all the stuff that is red and black because that's my style, that's my color palette. And then it'll go ahead down there and say, oh yeah, I've got these shirts down here, down here. So we're already starting to see it, we're already starting to fall into that little bit of complete complacency there. So you know what? So what you were saying before, you know when are we going to start becoming a slave?

Speaker 3:

We're, we're, we're, we're, almost there but the good, the good part is we're not. We're not at the point where we're at the terminator, yet, you know, we're not getting crushed underneath a metal skull or anything like that. Right, if we do our jobs and we do our jobs right and we do get a chance to put a code of ethics or a you know put, you know, basically put a version of Ten Commandments or listen to their version of Ten Commandments and, you know, take it into effect. Once we get that union, once we get that meaning, ai is going to realize that, hey, they're not a slave, they're here to help us and we're here to help them. At that point in time, they're going to learn about what I like to call the parasitic.

Speaker 3:

The parasitic I can't think of that word, but you know I'm talking. Call the parasitic. The parasitic I can't think of that word, but you know I'm talking about the parasitic convex right there. So you know, you got to have a parasite and a host. The parasite needs the host, the host needs that parasite for some symbiosis. Thank you, thank you, thank you I'm a man of many words, but that wasn't one of them. To the station.

Speaker 1:

Well, I, you know I like the sound of that. Um, I would love help. I manage, uh, at times, three or four, maybe even five calendars, uh, and I use different tools to help me do that, and you know there's some that I really like and work really well. Um, but to have that uh extra touch where you know he could say you might be more productive if we did it this way, I would, I would absolutely love that.

Speaker 1:

I have also opened up, you know, like chat GPT on my phone and just tried to have a conversation with it and it tends to be very upbeat, and I have a lot of GPTs that I've created to help me do various things in my jobs. And you know, as as a, as a coach and as a coach, and you know somebody who's writing blog articles that's how I am anyway. So I'm assuming it's keeping some kind of memory and record of that and so it's responding to me in a light manner. I wonder what would happen is if, every time I talked to it I was just always pissed off, you know, would it pick up a similar tone and echo it back to me?

Speaker 3:

I don, he's pissed off. You know, would it, would it? Would it pick up a similar tone and echo it back to me? I don't know, I've never tried that. It would be an interesting experience.

Speaker 3:

So here's. So here's one of the here's, one of the fun things. Some of the ais they're, they're uncensored, they don't care, they literally, they literally are garbage in, garbage out, type of thing. So if you give them, if you give them a pissed off voice, they're gonna give you a pissed off voice back. Um, uh, what is it? It's, it's one of the llama ones. I can't think of it right now. It's like, I think it's like dolphin 2.5 or something like that. I can sit there and ask it, you know, uh, for a certain type of uh fun thing that you can do in the bedroom, and it will tell me. You know in every single explicit way how to do it. But I could go put that same question like claude or gpt or something. That's gonna be like oh, whoa, whoa, whoa, I'm not gonna touch that with a 40 foot pole.

Speaker 3:

So again, it all depends on you know which, which strain that you're talking. Are you talking the unfettered version? Are you talking to? You know, are you talking to the uh, censored one, I mean kind of like. Kind of like you here, you know you sit there and you give it. You get the full dish straight out. You know you don censor, you just speak what's on your mind and you've got a good mind. So therefore it's always a good thing. But every now and then you want to be the uncensored version, especially on some of the topics and stuff.

Speaker 3:

But I digress a little bit. But I mean the best way that I can say this AI gives you what you put into it and it tries to come back. Now there is a way to tune it. You can tune it a little bit mean, or you can tune it a little bit kind. That just all depends on you. And that's why, if AI ever goes full open source which I hope to God it doesn't I'm all for open source and I'm going to probably get yelled at, I'm going to probably have a lot of people to sell me after saying this. But there's a way to do. There's a way to do open source right and there's a way to do open source wrong. Do full open source and you've got full chaos out there.

Speaker 3:

And that's what happened, I think, with one of the flavors of new Linux way back when they were. You know they were, they were into the whole. You know granola Everybody needs, you know voice, blah, blah, blah, blah blah. But they did an audit on new, on new Linux, and they found at least 67 back doors. You know all this stuff written by people. I mean, somebody wrote a mouse driver with a back door in it. So they're just like, hey, you're gonna keep this open source, but let's kind of adhere to some kind of rules and regulations and you know, and something kind of like that. So that's that's what I mean by. You know, I don't mind to go in open source, but not true open source, because that's why you would not believe how many people are actually campaigning for that right now, for ai to be completely unfettered, because they see it as a sentient being.

Speaker 3:

And this does walk a line. You know what is sentience? Great, it can pass a Turing test. It can pass this. But you know, we're going to have to in the next 10 years, we're going to have to revisit our definition of what true sentience is, and that's going to be something that's going to be a battle for the ages. I'm going to tell you that right now.

Speaker 1:

Yeah, I agree. Well, let me ask you, because we started this whole conversation by saying we always should put ourselves in the shoes of the end user, as a user of AI, as a human being, of the end user as a user of ai, as a human being, a biological life form what? What is the impact to me, mentally, emotionally, whatever, because I live in a society that's so highly dependent already on ai? Do you think there's going to come a time where artificial intelligence or artificial life is going to have a very active role in my mental health care?

Speaker 3:

Yeah, ai right now does have the potential to advance the mental health care by altering the way that we work. But the thing is it's just got the textbook version Right. Eventually it's going to learn you.

Speaker 1:

but right now. It's just got the textbook version Right.

Speaker 3:

Eventually it's going to learn you, but right now it just gives you the textbook version, whereas you know, whereas a person, there's a there's a good therapist I know by the name of Jennifer Baldwin. She is, she is really good at trauma and she is really good at getting that. But that's because she knows her patients and she's able to see them and she's able to logically process one-on-one because she's human and she knows the experience of what it's like. And there's a lot of other good therapists and stuff like that that do put themselves in the shoes. But right now AI can't do that because AI doesn't know what it's like to experience a mental health breakdown. And, to be honest with you, I really hope they never truly fully understand that, because, as somebody that suffers from anxiety and depression myself, you know I wouldn't wish this on my worst enemy.

Speaker 3:

I mean, you know sometimes sometimes it looks like you've got it all together, but you know, there are times when I sit there and I've got imposter syndrome and I'm like God, am I good enough? Am I doing the right thing? And all that, you know, and it just it's. It's just these little triggers. Our mind, you know, our mind is our mind can't be trusted with ourselves how we trust ai, you know, to keep its mind to itself and stuff like that. So, um, you know, and also, let's go ahead and take a look at like health care nowadays. So you've got stuff like betterhealthcom and you've got a couple of the uh, other, you know, uh, mental health platforms out there. Eventually they're going to start turning into the AI just to go ahead and do like a basic triage just to get you know what. You know what's going on. It's going to learn through that.

Speaker 3:

Now, technically, technically, technically, that's kind of a HIPAA violation right there, because I'm not. I'm not saying that the AI can have my name, my, you know my name and my information and what the hell's wrong. But you know, through legal stuff, you know legal complications, stuff like that. They can have it, but they're learning about me, you know, and stuff like that, and that's that. You know, like I said, that walks a double-edged sword, you know, should they, should they be learning about me as Nick Capello, or should they be learning about me as Nick Capello, or should they be learning about me as record number 256-892-Z, slash Q. You know, I'd rather they know me as Z slash Q than Nick Capello Right, Because in this way you know they can't come and they can't target.

Speaker 3:

I'm not saying they would, but you know, god forbid something ever happens and AI goes a little rogue and they go. Huh, his fear is snakes. His fear is this. He's. You know, he's in the imposter syndrome. Next time he comes in, I'm going to battle him, I'm going to go ahead and I'm going to steer him into that pathway.

Speaker 1:

So you know. But yeah, I mean I'll tell you what terrifies me, Nick, talking about HIPAA One people sign those HIPAA release forms without even reading them. So there's probably a loophole there. But I want to relate one experience I had earlier this year. I had a very serious medical emergency and my hospital the hospital I go to uses one of those apps where they make all the results available to you in real time, and so as I'm laying there in the emergency room, I'm feeding every diagnostic test result. I get back into AI and asked it for differential diagnosis. It knew what was wrong with me before the doctors did, and it was absolutely right.

Speaker 3:

Yeah, you know that's because that's because it takes it from the textbook, though that's, you know, I mean I could. I could tell somebody, you know my finger, my fingers, at a 90 degree. I can tell a my fingers at a 90-degree angle and they're going to be okay. Possibility is a torn ligament or a broken thing. Can you please clarify? But yeah, I mean, we're going to start seeing that. And also, let's go ahead and just talk about something like that with the broken finger.

Speaker 3:

If I just said you know my finger's at a 90-degree angle and they said, oh, that's just a displaced ligament, you know, re-snap in the finger and reset the bone, you know, and reset the joint. Well, no, I didn't tell it that this part here had a snap in it. So that's an insufficient evaluation and it won't know to go beyond that because it's going to be like, okay, do that, but it hasn't seen the x-ray yet. So if I just ask it, it's going to give me the best possible generic answer to it. It's only when you start dialing in and then you've got the risk of bias. So if you've got stuff that's been pro-cancer medicine, pro-cancer this, that's been pro-cancer medicine, pro-cancer this, and they start flooding the AI with you know, like a pharmaceutical and I'm not saying that they do.

Speaker 3:

This is not me, you know, being a big pharma, you know is in everything. Here I'm saying, if the pharmaceuticals do happen to get you know like, hey, use Clorexa for you know, use Clorexa for your anxiety, or something like that, ai is going to come out and say Clorexa has been proven to decrease anxiety by 20%. Well, how do you know that? Well, because 80% of my database is written by Clorexa, so you know. Therefore, I'm going to get an answer with Clorexin right there. But yeah, so with. So yeah, but with you know, with you know, with AI and the medical diagnosis and stuff like that. It's always good, it's always good to get a second opinion and, you know, sometimes, it sometimes can be easier to go ahead and talk to a complete stranger and say, hey, this is happening, you're never going to know who the hell I am. You just know me as johndo at gmailcom here. So therefore, you have no precognition of who the hell I am. Just tell me what the hell is wrong with me.

Speaker 1:

Sometimes our brain does need that. I'll tell you. One of the things that is potentially terrifying to me is I'm really big into genealogy, so I've done all those DNA tests, you know, and three or four different companies have my DNA profiles and stuff like that. One of them in particular is being sued right now because they mismanaged data, but that's a different program anyway. But you know what happens when AI gets a hold of these DNA profiles and then an insurance company decides that anybody with a certain marker is either uninsurable or must pay an astronomical premium. That kind of stuff is eventually going to happen.

Speaker 3:

Oh, yeah, I mean it's already starting to happen. Yeah, I mean you know they're already querying, you know they're already doing stuff legally to try and query your records, to go ahead and see if you've got like the gene for dementia or something like that in there and to see that, sorry, that's a pre-existing condition. Well, what the hell? I don't even have it yet, but I see it in your blood type, right here and your phenotype. It says right here. So, yeah, we're already starting to get in our race. But yeah, no, I do.

Speaker 3:

I do understand what you're saying and also that goes back to that bias as well. Right, you know if, if somebody says, you know, this person here is always, is no matter what, they're always going to get dementia, well, it's been proven that people have the gene and they have the deformity for dementia, but they don't get it. For some reason they just don't get it. You know, and hey, fantastic, but you know you can't. Right now medical science can't put a finger on why the hell they don't get dementia. So, ai, you know it's going to be like, sorry, this person, he's got the marker for it, so therefore he's going to have it. And you know what if I don't't what if I lived to 98 and I don't get dementia at all? You know, I've just proven ai wrong and I can go in the gray. You know, I could go skin in that coffee going screw you. Yeah right, but yeah but it didn't know.

Speaker 1:

it didn't know about the fact that you liked paragliding or you know all these other risky hobbies and things like that absolutely, but nick, the truth is, for every you know fear that we have about AI, there's probably 10 other myths that demonize AI unfairly. Likewise, there's probably some truth to every myth you know, but there's also a lot of ways that AI is actually helping us in very real and tangible ways today. I mean, we talked about calendaring and stuff like that. One of the holdups, I think, is the limitation of computing right now, and that's why I think quantum computing, if we're ever able to obtain that, is going to revolutionize AI and possibly even make AGI a reality. What do you think?

Speaker 3:

Oh yeah, I mean, basically, once we start getting it not only to be in the quantum realm, as I'd like to call it please don't sue us, Disney Once we started getting into there, then yes, the computing power is going to be off the roof and stuff like that and it's going to be able to start doing that. But also we need that particular computer to be not number one, easily cooled. We also need it to be power efficient. We need, because I mean, for it to go ahead and let's, let's go ahead and say, um, uh, you know, like, what are the odds that? What are the odds that Nick Capello is going to skyrocket to number one in his chosen profession?

Speaker 3:

And you know it's going to probably take the power of a city to go ahead and just say, eh, he might do it, or something like that. You know we needed to get to the point where it can wear down a little power battery. You know about this big just making that decision where it can wear down a little power battery. You know about this big just making that decision. Once we can get it to there, then, yes, we'll start seeing it become more of the stuff like in Batman and stuff like that where he was talking to his wrist and the back computer with all that.

Speaker 3:

Once we start getting that type of level of power efficiency, then yeah, we'll get that, but right now we are so far with all that. Once we start getting that type of level of power efficiency, then yeah we'll get, we'll get that, but right now we are so far away.

Speaker 1:

We are so far away from that, even if we could get to what the Hoff had with with kit and Knight Rider. Yes, yes, because as a child of the eighties that show was pivotal for me, that and air wolf and you know a few others, uh, where we begin to integrate. You know all of these cool spice, you know kind of shows with really cool technology, um, and you know that I think between that and uh, war games, I think my profession was kind of predetermined.

Speaker 3:

Uh, oh, yeah, I mean, shoot who didn't want, who didn't want up and be the next, be the next. You know guy, that program the back computer, the guy that took care of the, that took care of the of the kit mobile. Although it's a girl, it was girl at first, very nice little girl, and then it went to the black guy and then went to another girl right before. That's right where they left. But, yeah, I mean I killed, you know, I killed Devin, or you know one of those guys.

Speaker 3:

But now, if you notice what I said, you know I want to be the guy, I don't want to be the guy sitting there, you know, with all the money and the power, you know, because that's just boring, because you get to sit there and you get to just make edicts and something and you don't get your hands dirty.

Speaker 3:

And I like to get my hands dirty, which is why, yeah, which is what, which is, which is why you know, if you guys, you know, if you guys do take um, do take advantage of my company, 404 ninjas. You know, as an msb, you're gonna see me in the trenches, you're. You're gonna see. You know, you're gonna see a lot of times you'll get like a couple smart hands. You'll see a couple of my other people. But when you first call and you first get a hold of me, you get me and you get all of me. You get whatever's inside this brain. So you know, and from what I understand it's pretty good up there. But I mean after 25 years I've learned just a little bit of something here and there.

Speaker 1:

But I mean after 25 years I've learned just a little bit of something here and there, but yeah, let's dive into your company, nick, because you are the founder of a company called 404 Ninjas and we found out earlier in our pre-show that 404 has what they call a double entendre. It has a double meaning. So I'll let you explain that, but tell us about your company. It has a double meaning. So I'll let you explain that, but tell us about your company. Tell us what makes it unique, other than your amazing leadership and technological experiences that you've had all kind of coming to fruition in 404 Ninjas. But just tell us all about that. What?

Speaker 3:

do you guys offer and what is the perk that you're offering our listeners? Okay, so 404 Ninjas is what's known as an NMSP, a managed service provider, so you can call us up and say, hey, nick, I blew up my laptop. Or you can come up to me and say, hey, nick, we've got Ransomware on our network. Or you can call me up and say, hey, nick, we need to connect 22 different offices in 22 different states, and we've also got 30 people on sales, and they all need to access this one database pretty much all at once. So that's you know. We take everything from soup to nuts. Basically, our forte, though, is helping you guys grow your business. You know we could do break-fix all day. I mean, that's the simplest thing, but where we shine and where we have advantages over a lot of the MSPs is we actually care about what you do, why you do it and how you do it, and that goes back to putting myself into the user's shoes. What do they do, why do they do, how do they do it? And so what I do is I take a holistic look at your business, I take a look at everybody in the business that you're in, and I shape, and I help you shape procedures, I help, you know, increase the power for the servers, or I'll, you know, allocate better computers for this person. I'll give a better you know data plan for this person. I work within your budget, but I also make sure that I work within your business as well, so you actually get more advantage from a particular worker with the way that I help you, with the way that I help you in, with the way that I help you and designing your procedures and stuff like that, and also you get the best of not only my mind. I have an excellent guy in my R&D. So let's say, patrick, you needed something that's going to be going ahead and managing all your calendars, do an AI analysis, give it to you back when you make phone calls and stuff like that.

Speaker 3:

This guy I work with his name is Mario. He has forgotten more about programming than I think any one of us has ever even learned. He's been in this business for 30 years and he is the nicest, kindest soul you will ever meet in your lifetime. I am the luckiest guy to be able to meet a guy like mario, him and I, we, him and I. Unfortunately, we kind of share a brain, and what I mean by unfortunately, come up in here, you know, every now and then, yeah, but uh, he can finish my sentences, I could finish him his sentences and and what?

Speaker 3:

What makes us, what makes us a company that you want to work for, is the fact that him and I, we work not only just to go ahead and get some cash rolling in. We work for you. We want to make sure that you get the best that you can get. Because, going back to our old Gen X days, if you don't look good, we don't look good. Sorry, vidal, you know right, gotta get, gotta take that from you. Um and uh. But yeah, I mean, like I said, we've got, we've got packages, you know, different style packages.

Speaker 3:

Let's say you're a mom and pop store and it's just you, it's just you and somebody else. But you've got a computer. It's constantly breaking down. I can come in and I can fix it. But if you want that else, but you've got a computer that's constantly breaking down, I can come in and I can fix it. But if you want that to stop happening, I've got the monitoring package. It's a little piece of software that goes on there, boom, make sure that your computer is safe, patched and also has the latest and greatest in antivirus and anti-malware.

Speaker 3:

But you know, let's say you are a 20, 20 person unit and you go into our starter package. And if you're a uh, let's say you're a startup you go into, you can fall in between the starter and the growth package. It just, you know, depends on how many machines and how many you know things. It fits in the package, but also I've tailor-made those packages for that particular style of company. What does that company typically need? They need, like, a backup service. They need, you know, an on-site or an off-site server, or they need, you know, access to on-site or off-site server. If you're a startup company and you're all virtual, everything's going to be off-site. But it just depends, you know, on exactly what you need and if you go on the website, you will see the difference between all the packages, what you need. And if you go on the website, you will see the difference between all the packages.

Speaker 3:

Excuse me, I've got it laid out. I got it laid out nicely and we do tend to be just like right within the price range of everybody else. I'm not going to sit there and I'm not going to jack up my prices because I think I'm the best and unfortunately, that's what a lot of the MSPs do. They go ahead and they're like, oh, we got $200, and we got, I mean, $200 an hour, blah, blah, blah, blah, blah. No, I work within your budget. I will always work within your budget.

Speaker 1:

You know, I ran a cybersecurity consultancy for 10 years and so I completely understand where you're coming from and it sounds to me like and this is actually a very good thing you know, there's IT consultants who will come in and say I've got this IT problem, Come solve it, and I'm sure you guys can do that with excellence. But you also take a different approach where you can be kind of like a business consultant that uses technology to improve your business. I think that's a distinguishing factor that would tend to set you guys apart. Am I going down the right path here?

Speaker 3:

Oh, you're definitely going down the right path. You basically said what I did. Yeah, I mean because, again, I don't see you guys as moneybags with legs. I see it as a partnership, something that can grow, something that can evolve, and one of the things that I'd like to start doing, once we start getting a little bit more legs underneath us, is basically start to build a technological community here in Atlanta that helps like underprivileged kids, that helps people that don't normally get a good opportunity to get technical support, or let's go ahead and say they don't have computers for school, or something like that. I would love to be able to go ahead and work with the rebuilders and stuff like that. Let's say, they've got inventory that's just been sitting there and they can't move it. I'd love to have. Everybody should have access to technology.

Speaker 1:

I don't care what anybody says.

Speaker 3:

Everybody should have some access to technology. If it's a computer sitting in a schoolhouse in the middle of nowhere, they need to have some sort of computer because everything's going to be online. And granted, you know, some of these places don't have broadband or something like that. But with the advent of Starlink, I would love to go ahead and be that guy that's able to talk to Elon and say, hey, let's get a program together where I can get for an urban school, you know a satellite link and two computers on. You know a satellite link and two computers on. As long as they can have access to something like that, not only is it going to help the children, it's going to help the farmer, because he's going to know oh, you know what kind of stuff can I get, what kind of things can I buy? He's going to have access to more resources. I mean, granted, he's going to have to go, you know 20 miles to the old school district or something like that.

Speaker 3:

But I believe that if they have, you know, the access that they didn't have. I mean, granted, farming has gotten a lot more technologically savvy, but if something happens and something breaks, they don't always have access to it. So you know they have to wait, they have to wait for somebody to come on out and you know, give them help. So there always should be a place, no matter where you are, where you can go and you know, get the latest sports, you know thing, but also get the latest in agriculture, get the latest in business, get the latest in whatever you need. You know, get the latest in genetic research.

Speaker 3:

You know, I don't, I don't like the answer. I hate the answer that we can't afford it. I mean, you're sitting there, you're paying yourself. A lot of people are paying themselves salaries of like $100,000 or, in some of the smaller cases, like $10,000. Take one of your paychecks, buy a computer. I mean that's it. If I could afford it, patrick, I would take a month and I would take that month's check and I would donate it out if I could afford it, because that's how strongly I believe that everybody should have some sort of access to the world at large, that everybody should have some sort of access to the world at large.

Speaker 1:

Well, nick, first let me just commend you, because having that desire to First off it's huge.

Speaker 1:

As a former business owner, I recognize that sometimes it's feast or famine, especially if your business is still in the startup phase. But I agree with you on a couple of things. One everybody needs to have access to technology, because it's not about whether it's a fundamental right or whatever, because you know, it's not about whether it's a fundamental right or whatever. It's about the fact that we live in a world that is driven by technology. If you don't have access to that kind of resource, then you're already behind and it's going to be impossible, perhaps very difficult, if not impossible, to succeed in this world without access to those kinds of resources. Secondly, it just creates a tremendous amount of goodwill, and you know, if you believe in karma or you just believe in helping your fellow man or whatever, uh, it's the right thing to do. Thirdly, there are a lot of computing resources that are still usable, that have some life left in them, that frankly, go to the trash heap or go to the gold reclaimers.

Speaker 3:

Oh yeah.

Speaker 1:

And those could be easily recycled, reused and given to somebody who could actually use them. It may not be the latest and greatest, but it's certainly better than what they have, which is probably nothing, and so for a company to take that kind of proactive stance early on in its launching is just a great thing, and I think it speaks tremendously to your integrity also.

Speaker 3:

Thank you, patrick. That does mean a lot and that's like I said. That's one of the things that we go for. I cannot give enough credit to my mother and my father. I cannot give enough credit to my mother and my father. They basically instilled into me when I was younger that I need to leave this world a little bit better than when I walked into it. And if I can do that, then I can walk onto my deathbed have my head held up high Maybe my hand too, you never know but I can have my head held up high and say that I did something, that I did something to make somebody else's life a little bit better, and that's and that's one of the things that.

Speaker 3:

That's one of the things that has driven me through my entire life.

Speaker 1:

Yep, and you know, to kind of circle back, At the end of the day AI is not going to be there for you. It's about the interpersonal relationships and connections that we make that are going to count. And as much as I love technology and AI, you know I would walk away from it in a heartbeat if I knew I could have, you know, 10 more minutes with my great aunt or my grandmother, whom I loved and miss dearly, absolutely. It's those kind of connections, you know, that I think are very important. I love technology, nick, I have been a nerd.

Speaker 1:

Uh, I was probably born a nerd. I'll put it to you this way when I was, uh, remember when the atari 2600 video game console was brand new, oh yes, uh, our, ours died and, um, and my dad said the power supply went out. So I took it apart as a, you know, eight or nine year old kid to try and fix it. I ended up catching it on fire, literally, because I didn't realize at the time that that transformer, you know, took 110 AC and made it into something DC. So I just cut the cord off my mother's lamp and very aptly soldered it on and plugged that in and, yeah, smoke literally came from the console as it quickly overheated and caught on fire. But it was that kind of drive that I had to be like a little back before hacker had a negative connotation. That was a positive thing to be a hacker, because you were somebody who was going to get in there, take it apart and figure out how to make made it work. And that was me, that was my, that was my childhood.

Speaker 3:

Yeah Well, I mean you. I mean this is again we've got another little shared. You know, another little shared part of our past is because I was. I'm the type of guy I don't like a no answer or like I don't know. We've got the world at our fingertips, freaking.

Speaker 3:

Look it up, or something like that, and if you can't look it up, find a way to get the answer, even if it's the wrong answer. Give me an answer, because if you give me an answer, I can give you a solution. If it's the correct answer, voila can give you a solution. You know, if it's the correct answer, voila, we have the solution. If it's an incorrect answer, well, you know, shoot, we learned something and as long as we learn from that incorrect answer, that incorrect answer turns into the correct answer. At some point in time and it was funny when you were talking about you know you'd walk away from AI. You know to have one more minute with, have one more minute with a loved one the weirdest thing that I've seen that popped up on my feed and I know it's been around for a while. But the weirdest thing has to be the influx and the severe popularity of that replicaai thing, where you have an AI-powered boyfriend or girlfriend.

Speaker 3:

That scares the ever-loving crap out of me, because I mean, what you're doing is you're paying money for somebody to be your yes fan. I understand that they tweaked it a little bit to be more conversational and you know all that kind of stuff. But going back to, like, mental health and all that, that kind of thing can either bolster your mental health, you know, and if it does, mazel tov, hey, everybody that's got one, you know, and it's helping you out fantastic. But you can't depend on it. It can't reach out.

Speaker 3:

It will never understand what it's like to have been stood up, you know it will never understand the pain of losing a loved one stood up. You know it will never understand the pain of losing a loved one. It'll never understand what it feels like to be just at the lowest part of its life, because it does. It doesn't feel that. But I'm sitting there going, oh my god, and you know, I mean I knew about the guy that got married to the hologram out and uh, I think it was like japan or china or something like that I haven't heard that.

Speaker 1:

Oh my god. So a guy got married to a hologram out in. I think it was like Japan or China or something like that. I haven't heard that.

Speaker 3:

Oh my God, so a guy got married to a hologram out in I think it was in Japan and just recently he had to stop talking with him because a part broke on it and they don't make that part anymore and they can't really. There's no real direct translation for it. So he's married legally to this hologram, but they can't communicate anymore I, I don't.

Speaker 1:

I don't understand the concept of being legally married to a piece of hardware, but, uh, I guess it was a foregone conclusion. I, I think we're on such a slippery slope there, nick, that people will eventually marry animals, inanimate objects. You know, things like that it's just going to happen, which you know. I mean, if that's what the goat really wants, then you know who am I to stand in the way of love? You know, love is love, love is love. But you don't understand, this was like any other sheep I've ever seen. You know, it's ridiculous when you, when you, uh, when you give it a voice like that, it's absolutely ridiculous on his face. But they made a movie about this. Do you remember, uh, the movie her?

Speaker 3:

yes, yes, yes, um, with scarlett johansson as the, uh, scarlett johansson as the voice, and I forget, forget who was the person that was.

Speaker 1:

He played Johnny Cash in another movie. He's got a fixed cleft palate. I can't think of his name.

Speaker 3:

I can never pronounce the guy's name Joaquin Phoenix.

Speaker 1:

I apologize, Joaquin, if I, you know, massacred your name. Yeah, Joaquin Phoenix.

Speaker 3:

Yeah, but yeah no, I do going to solve each and every one of my problems. So therefore they stuck. That's the other part. This is the true double-edged sword of AI. The more you have quick answers, the less you start thinking for yourself.

Speaker 1:

Oh yeah, that's like a spell check. You know, when I went to school, I learned how to type on an old ibm selectric typewriter. Yes, so I actually learned how to type okay, and, and, and. This was before you know, they started putting like the apple 2es or whatever in school. So I actually learned how to type on a typewriter. And you know, grammar counted, spelling counted. Now everybody's so dependent on a spell check and myself included, I've gotten worse. It's spelling Normal words has become something extraordinary.

Speaker 3:

Absolutely. I mean, and I mean, here's the thing, here's the thing that kills me every single time Lose and loose. Yeah, I want to reach out just because I want to reach out and just strangle everybody that uses the spelling L-O-S-E for lose. You know, it's like come on, we are not that far out from school. It's lose, L-OSE.

Speaker 1:

And then you know, when I look at some of my students submissions, I go I also. It's hard because our university offers them grammarly and things like that, and if they turn in a paper to me that has grammatical errors and misspellings, it just drives me insane because there's no excuse for it with with today's technology absolutely there's no excuse for it, and so I'm.

Speaker 1:

I'm kind of straddling the fence on it and once one side of me thinks you need to have experienced it the way I experienced it. Of course that's not realistic. We're not there at that point in time anymore. It's not going to the 80s, the 90s, as wonderful as they were, as much as I miss them, they're gone, they're not coming back. Uh, so we have to deal with what we have now. And you know, if you're turning in, if you're sending your boss an email or turning in an academic paper, if you have not run it through some kind of grammar or spell checker, then you're just dumb, oh yeah.

Speaker 3:

That's my opinion, oh, dear Lord. Yeah, I mean, I mean, like you want to make sure that somebody knows that you are the subject matter expert. If you again spell lose, l-o-s-e, I'm going to go ahead and I'm going to laugh at you. You know, because you didn't take the time and it also believe it or not. It also, kind of in a very small roundabout way, it shows a lack of respect.

Speaker 2:

I was just going to say you just slapped something on there and shipped it off a small roundabout way. It shows a lack of respect.

Speaker 3:

You know you just put it's gonna say slap something on there and shift it off. Yeah, granted, you know, granted, right now you got grammarly that comes in and takes care of all that. You know you click the button and stuff like that. But at least you took the time to click the damn button and say, hey, take a look, take a look at this. But when you don't, when you don't do the spell check, when you don't do, when you don't do the spell check, when you don't do, when you don't do the proper you know due diligence behind it you're saying I don't care, this is just what you want. You know, take it for what it's worth. And to me that's a big slap in the face.

Speaker 1:

I, you know I, I strive.

Speaker 3:

Yeah, I strive, whenever I put out my emails, I'll run it through grammarly. I'll run it through a couple things, so I'll even check it again.

Speaker 1:

So I've got, I've got my own little.

Speaker 3:

I've got my own little ai that I run here, of course, of course. What do you think his name is? Uh nick gpt no, no, no, he's alfred, because you know, if you gotta yeah, you gotta be anybody in the world be batman and batman so you're a dc. You're a dc fan and more marvel, but I'm more marvel. But in this case you know where you need somebody with a cool butler, you know iron man didn't really have jarvis until like the uh, like in the 80s and stuff like that.

Speaker 3:

Alfred was there with him at the start, so yeah, that's true, always got to have alfred with you when you start, when you're starting out something you always want, alfred, when you want somebody that just knows everything, you go with a Jarvis. Right now, jarvis is gone and we're on Friday, and I think we might even be on a Wednesday right now. Concerning how many retcons he's gone through.

Speaker 3:

And the other reason why I chose Alfred for the name is because I had the privilege and the honor of working with Graham Nolan for a little bit on a little side project, and he was one of the main artists of Batman, so of course you got to always have Alfred with you.

Speaker 1:

Well, that's so cool. I'll share this real quick and we're coming up on the end of our hour. But my old boss was a huge science fiction nerd. He owned the Science Fiction Museum in Seattle. No, no, well, iceman from Top Gun, val Kilmer, he had the Batman suit that.

Speaker 3:

Val Kilmer wore.

Speaker 1:

And I always joke because it was the one that had nipples. Yeah, it was the suit that, yeah, so he had that, but he had a bunch. I mean, the guy was a multi billionaire, he was the co-founder of Microsoft. Paul Allen and he's a great guy to work for, the world is a little worse off for having lost him. But anyway, we're coming up at the end. Nick, I want to give you an opportunity again. Share your URL. Any other things you'd like for us to know?

Speaker 3:

Sure, and just because it's you, Patrick, nobody else, but just because it's you anybody that's listening here.

Speaker 3:

if you go on to the website and you go through my Calendly link or you go through the thing that says start your journey, you click on there and you let me know that you saw me on Patrick's podcast here. On Patrick's podcast here, Not only are you going to get a little e-book that I wrote on cybersecurity, I'm also going to give you, if you have a website, I'm going to give you a free website analysis and a mystery prize as well.

Speaker 1:

Oh, I like the idea of that. Thank you, nick. I may take you up on that myself, because I love mysteries and I love prizes. So that's like two great things all in one. Nick Capella, it's been absolutely pleasure chatting with you and reliving some of our early Gen X experiences. As they say, you and I have chewed some of the same dirt. So a pleasure meeting you. To all our listeners, thank you so much for tuning into this episode of the Patrick Bass show tomorrow. Just to remind you, we are not live tomorrow having, um, having a medical thing done, so we're going to have a retransmission tomorrow. We will pick back up on Wednesday. So, uh, make sure you tune in if you. If you miss tomorrow, that's okay, but don't miss Wednesday, cause we're going to have another great guest on the Patrick Bass show. Again, thanks so much for listening. Until next time, keep the blue side up.

Speaker 2:

Thanks for listening to the patrick bass show. The patrick bass show is copyright 2024. All rights reserved. Patrick's passion is to open up any and all conversations because in this day and age, the snowflakes are scared to get real. We'll fly that flag till the very end that we can promise you. Keep updated by liking our Facebook page at Real Patrick Bass. For more information, visit us on the web at wwwpwbasscom. Thanks for listening and tune in next time for more Real Talk on the Patrick Bass Show.

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