Latest / Open The Gate / Ep. 15: Ulysses Baltazar - Envisioning the Next Wave of AI in Our Daily Lives

Transcript

Ep. 15: Ulysses Baltazar - Envisioning the Next Wave of AI in Our Daily Lives · Open The Gate

• 0:34
  Speaker 2: I'm not fucking leaving.
• 0:36
  Speaker 1: I'm not fucking leaving Streaming, for more and more is what you will get, because we're like that.
• 0:47
  Speaker 1: And now Yo, my man, first guest on Open the Gate, with a custom introduction to the podcast, my homeboy Dude.
• 0:59
  Speaker 1: We go back probably seven, eight years, I think, back in the.
• 1:03
  Speaker 1: Keller Williams days on Fair Oaks.
• 1:05
  Speaker 1: Some of my favorite people in the industry man Sarah Hensler, jesse and Derek you have Matt Hindi in that office.
• 1:16
  Speaker 1: Just some players, man.
• 1:19
  Speaker 2: We have the athlete of the sports industry in Sacramento.
• 1:23
  Speaker 2: That's right.
• 1:26
  Speaker 1: Yeah, we just did a little short form pod with Matty at the Real Producers event last week or two weeks ago, so that was super fun getting to catch up with him, man.
• 1:35
  Speaker 1: So, dude, so obviously your background, I know you've got a military background.
• 1:40
  Speaker 1: You're on here today.
• 1:42
  Speaker 1: We're going to hit on the AI stuff pretty hard a military background.
• 1:44
  Speaker 1: You're on here today.
• 1:45
  Speaker 1: We're going to hit on the AI stuff pretty hard.
• 1:47
  Speaker 1: You've been crushing it with the local real estate scene, getting everybody up to speed and educated on that.
• 1:51
  Speaker 1: But, like I said, man, we were talking a little bit before we started.
• 1:53
  Speaker 1: This is a Sacramento real estate and lifestyle podcast.
• 1:57
  Speaker 1: So, dude, tell us about why.
• 1:59
  Speaker 1: Sac man, why are you here?
• 2:01
  Speaker 2: Well, I ended up in SAC.
• 2:04
  Speaker 2: It's more of the answer there, but I love it Honestly.
• 2:07
  Speaker 2: Like it's crazy, this has now become, you know, my home.
• 2:10
  Speaker 2: I don't see myself getting out of here.
• 2:13
  Speaker 2: Just Sacramento is just growing so much.
• 2:14
  Speaker 2: But my family moved up here when I was in the service my folks, my sister, my brother and all of them and when I got out of the service I was supposed to work for the Department of Defense afterwards.
• 2:26
  Speaker 2: But that's when a budget cut happened.
• 2:28
  Speaker 1: Pretty natural.
• 2:29
  Speaker 1: Segue right there, yeah, yeah.
• 2:30
  Speaker 2: When you usually get out of the military.
• 2:32
  Speaker 2: I was flying drones for the Department of Defense or in the Army working on helicopters, all that.
• 2:36
  Speaker 2: So I wanted to stay in aviation and essentially I rolled into a job opportunity.
• 2:39
  Speaker 2: And as soon as I got out, essentially I rolled into a job opportunity.
• 2:42
  Speaker 2: And as soon as I got out, you know, I was supposed to then go to the new, you know, civilian job and everything.
• 2:48
  Speaker 2: But budget cuts happened to the Department of Defense across the board.
• 2:52
  Speaker 2: That was 2011.
• 2:53
  Speaker 2: And I ended up just basically getting stuck here at the time because they were like hey, you know, we don't have a job for you, no more.
• 3:02
  Speaker 2: And so I was like correct me if I'm wrong.
• 3:05
  Speaker 1: Like you were hired as a dialer, right?
• 3:06
  Speaker 1: Weren't you making cold calls or no?
• 3:08
  Speaker 1: No, okay, you were a licensed agent out selling, okay.
• 3:12
  Speaker 2: Well, actually, the way that it all started for real estate was this is 2011, 2012.
• 3:18
  Speaker 2: I basically started working as a field service engineer, okay, and essentially then moved up the ladder on that, and then I was working for alpha research and, uh, alpha research and development um, out in el dorado hill.
• 3:34
  Speaker 2: I was doing a bunch of other different things and, um, ultimately, what ended up happening was uh, I, uh, uh, what was it?
• 3:45
  Speaker 2: I just, I kept plateauing everywhere I went, you know, I wanted to do some really cool stuff, and and I just wasn't achieving the goals that I wanted to achieve, and and and nobody was really kind of, you know, teaching me the things that I wanted to know, and, um, ultimately, what ended up happening is just, I ended up just um.
• 4:01
  Speaker 2: I asked my dad why he wanted me to be a real estate agent.
• 4:05
  Speaker 2: Um, it way back in like 20, uh, no, 2000.
• 4:12
  Speaker 2: What was it?
• 4:12
  Speaker 2: 2004.
• 4:14
  Speaker 2: Yeah, 2004.
• 4:15
  Speaker 2: This is a.
• 4:15
  Speaker 2: I'm a junior in high school, and so I asked him, and he's the one that kept saying like, oh, you should be a real estate agent.
• 4:21
  Speaker 2: And of course, now it all makes sense, right?
• 4:23
  Speaker 2: We all know how the market was in 2005, 2006 before the tank in 2007, 2008.
• 4:30
  Speaker 2: And he said, uh, you got the gift of gab.
• 4:31
  Speaker 2: And I'm like, what does that even mean?
• 4:34
  Speaker 2: Like, and so, sure enough, you know, I started looking into.
• 4:36
  Speaker 2: It's like, oh wait, a minute, I've got a natural skill where I can talk and everything.
• 4:39
  Speaker 2: Um, I've been a musician, dj, producing music and everything since I was a kid into tech and all of that.
• 4:48
  Speaker 2: Just always at heart I've always been an engineer and I never really knew that because I've never been really surrounded around that.
• 4:55
  Speaker 2: And when I joined the military it was just kind of like that was my crowd working on helicopters, flying drones and everything like that.
• 5:01
  Speaker 2: But as a civilian I just kind of really didn't have that mentorship or anything like that.
• 5:08
  Speaker 2: And then once I got into real estate, or once I took a look and I was like, oh, you know what, maybe I should get into real estate.
• 5:14
  Speaker 2: Um, I uh discovered a book called the secret by Rhonda Byrne, which a lot of people have, and that's kind of where my life completely changed around is when I discovered law of attraction.
• 5:25
  Speaker 2: That entire mindset just completely shifted my perspective on everything that I was doing, um going forward.
• 5:31
  Speaker 2: I just always was, uh, flying by the seam of my pants, kind of thing.
• 5:36
  Speaker 1: Um, but which is wild.
• 5:37
  Speaker 1: Right, because you've got that, you've got that engineering side of your brain.
• 5:39
  Speaker 1: But then, like you're, like me you were the kids I was getting in trouble for talking too much in class, like that gift to gab, like we had to be in sales, but like they're.
• 5:48
  Speaker 1: But you have the super technical, probably super regimented, like no, I gotta know why that equals that, like I'm not just gonna believe it, like I need to dot the i's and cross the t's, which is a very unique combination of skill sets.
• 6:00
  Speaker 1: Right, most, most super tech people, generically speaking, probably want to just be left alone, right?
• 6:07
  Speaker 1: you know, like absolutely they're introverted, so you get an extrovert, like in tech.
• 6:12
  Speaker 1: I mean, you're just screaming disruption, right, like you were making some people uncomfortable or people.
• 6:19
  Speaker 2: Just I'm not trying obviously you're not trying to, but just being you for sure.
• 6:23
  Speaker 2: Well, I'm Hispanic, so I come from a very traditional Hispanic background.
• 6:29
  Speaker 2: My folks are the way that they think, so I've always been a big dreamer, specifically when it comes to tech.
• 6:35
  Speaker 2: I've always been big visionary, futurist.
• 6:37
  Speaker 2: I was always like I can't wait for this next big thing to come out, and so I was very bullish.
• 6:42
  Speaker 2: That's kind of where my at-heart engineering as a kid kind of came about.
• 6:46
  Speaker 2: I was the one taking RC cars apart and putting bigger batteries and making things go faster and you know and my dad is tech techie too, but he, he, he, he always played it very safe and so, um, I didn't, and that's how I ended up getting into a lot of trouble with a lot of different things.
• 7:03
  Speaker 2: But the military honestly really taught me a good framework in that sense.
• 7:08
  Speaker 1: But the mindset oh, that discipline to the discipline.
• 7:11
  Speaker 2: Yes, the discipline for sure.
• 7:12
  Speaker 2: But that mindset really did not happen for that self-development until, like, I literally came across the book the Secret by Rhonda Byrne and then I watched a documentary the Secret you know, with Bob Proctor and all those you know, individuals of self-motivation.
• 7:30
  Speaker 2: Then that's when I discovered, like Tony Robbins and all this, and at that point it was like I took my engineering mindset and applied self-development to that and then it just all started to click.
• 7:43
  Speaker 2: And then I got into real estate and I realized, like I just need to surround myself with the individuals that are going to teach me what I need to know and in return, I'm going to help them out with what I know, which was my tech side of things.
• 7:57
  Speaker 2: And that's where Rachel Taney came into play she took me under her wing and we developed the call center.
• 8:05
  Speaker 1: Aloha Rachel Taney right.
• 8:08
  Speaker 2: It's been a minute since I've talked to her, uh, but I've been, I've been seeing a lot of her success and everything like that, her entire journey and all that.
• 8:13
  Speaker 2: So I'm like super, super excited for her and super proud of her and everything that she's been doing.
• 8:17
  Speaker 2: Um, but uh, yeah, needless to say, uh, you know, you know it's been a journey getting to this point and then basically, sacramento.
• 8:25
  Speaker 2: After that, just really once I got into real estate, is when I really started to understand the trajectory of Sacramento.
• 8:32
  Speaker 1: Yeah, right Like really understanding it.
• 8:35
  Speaker 2: Like if you don't understand real estate or a part of it, you don't see the potential of Sacramento and what it's turning into.
• 8:43
  Speaker 1: They're not building houses in a lot of areas of the country at the rate they are in Sacramento.
• 8:49
  Speaker 2: Well, not just that, but business.
• 8:50
  Speaker 1: Businesses are coming here big businesses.
• 8:52
  Speaker 1: Yeah, like I mean shoot dude, we got the A's coming man.
• 8:56
  Speaker 2: We're getting a major league baseball team for three years, but that just goes to show the people behind that that have been able to execute on that that are building that vision of Sacramento and what we are right.
• 9:17
  Speaker 1: The MLS stadium, I mean I know that thing's been hot and cold, it's huge, sky is the limit.
• 9:22
  Speaker 1: Like when you, when you talk about you know like, oh, your dad said, go into, go into real estate.
• 9:27
  Speaker 1: And then you're like, well, I've, I've plateaued in so many things.
• 9:29
  Speaker 1: All I can think of is like, yeah, ulysses is somebody who's going to kick down doors, he's going to progress.
• 9:35
  Speaker 1: So I'm like, oh cool, like, yeah, the guy who, who, who did a ton of volume in real estate and felt like he was plateauing.
• 9:42
  Speaker 1: He probably just got kind of bored, realistically, but then okay, he wants, he wants he wants a more endless boundary.
• 9:48
  Speaker 1: So, oh, let's go into tech and AI, and we're going to talk a lot about AI here in a few minutes, like because that's obviously why you're here and you're so well-respected and you're and you know, I mean as a human, you're just, you're just a giving person by nature and you know you want to share so much.
• 10:03
  Speaker 1: So we've all been super appreciative of that as well.
• 10:05
  Speaker 1: And uh, so, yeah, so I think.
• 10:07
  Speaker 1: So, sacramento, we got the a's coming.
• 10:09
  Speaker 1: Yeah, mls, all that growth, and now, like you know, rico rivera at silicon east right.
• 10:16
  Speaker 2: He's like hey baby.
• 10:17
  Speaker 1: Like this is, this is the front yard of the of the silicon valley.
• 10:20
  Speaker 1: Like let's bring more people here.
• 10:21
  Speaker 1: So like, like what do you think man like what's?
• 10:24
  Speaker 1: What are the here?
• 10:24
  Speaker 1: So like, like what do you think man Like what's?
• 10:26
  Speaker 1: What are the next five, 10 years?
• 10:27
  Speaker 1: Look like in.
• 10:27
  Speaker 1: Sacramento Traffic's going to get worse.
• 10:28
  Speaker 2: Yeah, well, I mean honestly, yeah, I know traffic is definitely getting worse and of course you know they're starting to try to mitigate a lot of that.
• 10:34
  Speaker 1: Um, you know you're seeing all the different uh lane expand like expanding all those projects, yeah, summer's kicking off man projects, summer's kicking off man, they're all going to get started right now.
• 10:48
  Speaker 2: Yeah, I know, which is also going to suck a lot because of the everybody that's throwing pains, right, yeah, and that's just kind of the part of it.
• 10:51
  Speaker 2: Um, so sacramento, five, ten years from now, I mean, obviously, you see, you know, north natomas is just going to expand all the way out to the airport, right, and yeah and west roseville is going to run into it on the back side correct.
• 11:02
  Speaker 2: And then elk gro Grove is just going to continue to keep expanding out and filling in all those gaps between, you know, 50 and basically Elk Grove and all that.
• 11:12
  Speaker 1: I'm still amazed, like when you're driving, if you're coming up 99 or coming up five, and you get to Elk Grove and you're like, oh shit, like all of a sudden like it's nonstop.
• 11:26
  Speaker 2: I went 5, 10, 15 miles with, with just fields and you know the valley, and now all of a sudden like and and you're gonna, if you stay on i-5 or you jump on to i-80, yeah, you got an hour of that yeah it's crazy how the expansion and how much it's growing and you look at the, the boundary cities and the growth potential like it ain't gonna stop yeah, no, and so, for me, what excites me the most is the innovation that comes along when it comes to that right, most people can look at it in a very traditional manner.
• 11:52
  Speaker 2: For me, it's like what technology is going to be implemented or innovated for this type of growth right, the infrastructure systems.
• 12:00
  Speaker 2: You know the streets, the roads and all that, and then you're starting to see, you know the streets, the roads and all that.
• 12:04
  Speaker 2: And then you're starting to see, you know bits and pieces of that already happen in certain areas that need to be upgraded.
• 12:10
  Speaker 1: Stuff as simple as these roundabouts.
• 12:12
  Speaker 1: We're starting to see more and more roundabouts because they keep traffic moving and stuff.
• 12:15
  Speaker 1: And it's so funny, like when I hear people going oh, I hate these roundabouts, I hate them and I'm like I love them, like cause all I have to do is slow down a little bit, I go, I go.
• 12:22
  Speaker 1: Now, I hate the construction of them because that's too.
• 12:24
  Speaker 1: You know, that could be up to a year of construction time in an area that really can make it a pain in the ass.
• 12:29
  Speaker 1: Rockland oh dude, like we just got, I mean there's one here in Roseville, right by our office, where and uh, yeah, but I mean, but now little, all the little, the little technicalities and For me, I think, the more so it's going to end up being also the talking about AI traffic systems, right, cameras?
• 12:53
  Speaker 2: I know I know so many people are just all about like you know, oh, you know, now they're, you know more cameras for the city to spy on us, and yada, yada yada.
• 13:00
  Speaker 2: It's like you know what.
• 13:01
  Speaker 2: At the end of the day, you already have a device that you know you can be spied on, whether you like it or not, and you can't sleep without it.
• 13:07
  Speaker 2: Right and it's always within arm's reach and if you're not going to complain about that thing, that you can't complain about the thing that is like two miles away from your house or whatever and be, and all of that because at the end of the day there's going to be bad actors, there's going to be people and everybody complains about, like you know, you know not having privacy or whatever.
• 13:33
  Speaker 2: But then all of a sudden something terrible happens to you and then you complain the opposite of like oh, why weren't, why didn't I have more security?
• 13:41
  Speaker 2: Why isn't there more security?
• 13:42
  Speaker 2: Whatever Right, and that's just kind of specifically right now.
• 13:45
  Speaker 2: You know, um, when, when there's a down market, you already know crime rate goes up right when there's in every recession, crime rate always goes up.
• 13:53
  Speaker 2: And so, more than ever right now, is is when you're seeing, when you need that.
• 13:56
  Speaker 2: And then I hate to say this, because you know I've got.
• 13:58
  Speaker 2: I'm sure you got kids in school, I got kids in school and got kids in school.
• 14:04
  Speaker 2: I got kids in school and you know, school shootings are somehow a trend and it's like how stupid is that Right?
• 14:06
  Speaker 2: Um, so you need security more than ever.
• 14:08
  Speaker 2: Um, when it comes to that, you need things to be, you need the right individuals to be tapped into this type of stuff.
• 14:15
  Speaker 2: You know, nonstop, and that's where AI really kind of helps tremendously with that.
• 14:20
  Speaker 2: One of the things that we were experimenting with, um, with one of the hotels that we had up in Lake Tahoe being automated, contactless and everything and not having a front desk and all that.
• 14:30
  Speaker 2: I was having a conversation with a company that they develop AI security and all it is is a piece of software that you integrate with your existing security system and what it does is just this AI is constantly just monitoring your parking lot and it's got you know face, not so much, yes, facial recognition, but you're it's not trained for facial recognition, it's trained for, um, uh, different types of uh detections, weapons, knives, guns, rifles, all this fun stuff.
• 15:00
  Speaker 2: So if somebody's pulling a gun out of their truck or their car, or whatever you know about it yeah, the ai automatically sends an alert and, once again, when it comes to this type of stuff, you can set up parameters that, hey, if it detects one of these types of things, here's what you do you contact me and you also notify the authorities immediately.
• 15:18
  Speaker 2: If it's something like this you only notify me, and so on and so on Right, and so that's the beauty of ai is like you can train it on all these different types of things, and, and I'm excited for it.
• 15:28
  Speaker 2: A lot of people might not be um, but I see the potential of it, like you said, five, ten years from now, oh my god, like well, it's not going anywhere it's not.
• 15:36
  Speaker 2: Pandora's box is open.
• 15:37
  Speaker 1: Yeah, I think that I think in in large part.
• 15:41
  Speaker 1: Yeah, I love a lot of the.
• 15:43
  Speaker 1: The upside of it, there's certainly some scary things.
• 15:46
  Speaker 1: I mean, if we want to, you know, even just talking about like even Hollywood, you know the, the the the ability to make us sound like Morgan Freeman and, you know, tom Hanks having a conversation.
• 15:57
  Speaker 2: You're like.
• 15:57
  Speaker 1: I mean that's definitely an infringement right Like that's the you and I both know as moral people.
• 16:02
  Speaker 1: That's that's wrong like we shouldn't, we shouldn't be, we shouldn't be doing that now at the same time, like if that same technology or similar technology is being used to keep a school parking lot safe, yeah, or to keep a mass murderer out of the 27th floor of a hotel that's sitting over a concert.
• 16:18
  Speaker 1: You know, like, absolutely like yeah, the hard part is, and I totally understand, like, is it give and take or what?
• 16:26
  Speaker 1: Like you know, because it's not like you shouldn't, you shouldn't have to rob Peter to pay Paul.
• 16:30
  Speaker 2: Yeah, yeah.
• 16:31
  Speaker 1: But and you're, and you're never going to, you're never going to have people who fully agree or see things eye to eye, or see things the same way.
• 16:37
  Speaker 1: So that's where that's where it gets hard, that's where it really gets tough.
• 16:41
  Speaker 1: But I think the fact of the matter is, like we said, it ain't going anywhere.
• 16:46
  Speaker 2: No, it's not.
• 16:47
  Speaker 1: Pandora's box has been opened, correct, so now we have to really, really, really lean on people who have high moral ethics and character and things like that.
• 16:57
  Speaker 2: Well, that's when regulation has to come into play, and so that's the one thing with what we're going through with AI, or just in general, automation Right, because AI is not necessarily automation.
• 17:08
  Speaker 2: Automation has also been here way before AI itself.
• 17:13
  Speaker 2: I mean the clapper right, turn on and off your lights with the clap.
• 17:16
  Speaker 2: It's IFTT technology.
• 17:17
  Speaker 2: It's been around for a long time now.
• 17:19
  Speaker 2: If this happens, then that happens, right.
• 17:22
  Speaker 2: It's just simple.
• 17:23
  Speaker 2: If you see this, do that.
• 17:24
  Speaker 2: If this happens, then that happens, right.
• 17:24
  Speaker 2: It's just simple.
• 17:24
  Speaker 2: If you see this, do that.
• 17:25
  Speaker 2: If you hear this, do that.
• 17:26
  Speaker 2: If you, if such person touches this, then do that.
• 17:29
  Speaker 2: Iftt technology it's been around already for a long time.
• 17:33
  Speaker 2: I've had that technology embedded in my own house.
• 17:35
  Speaker 2: It's what inspired um, you know, uh, automating the hotels in Lake Tahoe and how it all started for me and Matt and Imago's group and Play Park Hotels and everything that we've been doing and we're up to now Like it's all been from that.
• 17:51
  Speaker 2: Ai is now just an amplifier to that, to where, instead of setting up rules, the AI itself can learn from everything I've done before and make its own rules going forward based on what we've trained it on Right, and so that's kind of what AI is now.
• 18:11
  Speaker 2: It's all this data that's already out there in the internet, hence, I'm sure we're going to get into it, but like the existing AI, chat, gtp and all that it's been trained on everything that's on the internet up to December 2023.
• 18:22
  Speaker 1: Yeah, wow, everything that's on the internet, everything, right.
• 18:25
  Speaker 1: Everything you talk about a bookworm, right?
• 18:28
  Speaker 1: I mean that's wild.
• 18:29
  Speaker 2: And there's technology behind how that was possible and everything like that which we can dig into.
• 18:33
  Speaker 1: Yeah, and that leads me into like you know you, you start thinking you go into dark places.
• 18:37
  Speaker 1: You're like, well, how the vast majority of information, what I say with quotation fingers on the internet, is unfounded or or untrue or a bold face lie or propaganda or whatever.
• 18:50
  Speaker 1: And it's like, okay, like teaching the technology or the technology learning to get to what's true and what's right.
• 18:59
  Speaker 2: Yeah.
• 18:59
  Speaker 1: It's going to be.
• 19:00
  Speaker 1: It's going to be a challenge.
• 19:00
  Speaker 1: I think it's going to be a topic that we're talking about for for years to come.
• 19:03
  Speaker 1: You know, I was.
• 19:04
  Speaker 1: It's going to be a challenge.
• 19:06
  Speaker 1: I think it's going to be a topic that we're talking about for years to come.
• 19:08
  Speaker 1: I was going to give you a hard time.
• 19:09
  Speaker 1: I wrote on the board the Terminator reference, but, seriously, I think people want to hear from someone who knows what they're talking about.
• 19:13
  Speaker 1: Bro, is that real?
• 19:15
  Speaker 1: Is that a realistic problem that we could have?
• 19:17
  Speaker 1: They start building their own bombs.
• 19:20
  Speaker 1: At what point does the technology not need us?
• 19:23
  Speaker 2: OK, so so this is where the difference then comes to.
• 19:27
  Speaker 2: This is actually a good question.
• 19:29
  Speaker 2: So the there's a difference between the current AI and real AI.
• 19:34
  Speaker 2: Ok, we're not Well, I don't want to say that, we're not there yet with real AI.
• 19:39
  Speaker 2: The difference between the AI right now, it's better known as AGI artificial generative intelligence Right, and then there's AI, artificial intelligence, and the difference between the two is true.
• 19:52
  Speaker 2: Ai is sentient, where it can think for itself.
• 19:55
  Speaker 2: It can have full blown conversations.
• 19:56
  Speaker 2: You don't need it, you know to give a command for it to do something.
• 19:59
  Speaker 2: It can literally just be right.
• 20:02
  Speaker 1: Sure.
• 20:02
  Speaker 2: Same way that me and you are.
• 20:04
  Speaker 2: Yeah, yeah, yeah, true, AI can do that.
• 20:07
  Speaker 2: Are we there yet with that?
• 20:08
  Speaker 2: Maybe somewhere in a deep bunker where somebody knows that if this thing got out, like you know, it could potentially create harm?
• 20:14
  Speaker 2: Um, there's a bunch of whistleblowers that come out that said like, hey, you know, I've been having conversations with this type of you know, Google's AI, um, is DeepMind, which was acquired, you know, out of Europe.
• 20:26
  Speaker 2: Google acquired them a while back and then, but the AI that we're all working with right now the popular, the trending- stuff and everything this is all AGI, which is artificial generative intelligence, which is basically a bookworm, basically like you said it's just a imagine you're walking up to a kiosk and you're just simply asking this kiosk anything and everything that you can possibly fathom in your brain, and it's going to have an answer and that is it.
• 20:57
  Speaker 2: It does not have the ability to go execute on whatever it is that.
• 21:02
  Speaker 1: I have in its own thoughts not having its own thoughts?
• 21:04
  Speaker 2: No, having its own thoughts.
• 21:05
  Speaker 1: No, it ain't coming up with the question without being asked to create the question.
• 21:10
  Speaker 2: Correct exactly, and even then you could tell it you know, go, you know how do you build a BOMB, right, and after you explain it to me, go build one.
• 21:20
  Speaker 2: It can't do that.
• 21:21
  Speaker 2: It doesn't have hands, whatever.
• 21:24
  Speaker 2: But this is also the other thing of how agi works.
• 21:27
  Speaker 2: Agi is actually pretty dumb at the same time.
• 21:31
  Speaker 2: It's smart that it knows everything that's on the internet, but how it gives you an answer is not smart at all.
• 21:38
  Speaker 2: It's actually guessing the next word in front of the previous word.
• 21:40
  Speaker 2: It just gave you when it's writing.
• 21:41
  Speaker 2: So if you've already experimented with like chat, it just gave you when it's writing.
• 21:44
  Speaker 2: So if you've already experimented with like chat, gtp for example it's.
• 21:48
  Speaker 2: I'm going to use that because that's the one everybody knows yeah yeah, but there's also google gemini, which used to be formerly google barred, but then once again it got smarter.
• 21:56
  Speaker 2: They have upgraded it.
• 21:58
  Speaker 2: Now it's google gemini.
• 21:59
  Speaker 2: Um, you've also got from anthropic, you got Cloud.
• 22:02
  Speaker 2: You've got Copilot, which is essentially the same thing as ChatGTP, but it's Microsoft's version, and they got first steps to ChatGTP because they're like the biggest investor into OpenAI's ChatGTP.
• 22:15
  Speaker 2: But essentially what it's doing whenever it's giving you a response based on all the information that you gave it or what you asked it or whatever the task is that you gave it, based on all the information that's on the internet.
• 22:28
  Speaker 2: It's trying to find first that first, most likely word in what the answer that it's going to give you, based on all the information that it's gathered on the internet, that you know, on what you gave it.
• 22:40
  Speaker 2: And then, once it gives you that first word, which it can be the word the, you know, so you can tell it like you know um, uh, you know what's the capital of California, for example?
• 22:52
  Speaker 2: You know it.
• 22:53
  Speaker 2: It's going to say probably something along the lines of the capital of California is Sacramento, right?
• 22:57
  Speaker 2: The is the most likely first word.
• 23:01
  Speaker 2: And then it's going to guess the capital is going to then guess that that's probably the most likely first word, and then it's going to guess the capital is going to then guess that that's probably the most likely second word, and so on, and so on, and it does the whole.
• 23:10
  Speaker 2: That's exactly what it's doing.
• 23:11
  Speaker 2: So that's why you have those disclosures at the bottom of all of these tools.
• 23:15
  Speaker 2: That says double check the information because it can get it wrong, and it's once again.
• 23:22
  Speaker 2: It's the reason why chat GTP was the first one to go out to market with something like this, and and and really create I don't want to say chaos, but they're the ones that buzz or the buzz energy excitement.
• 23:37
  Speaker 1: Um, when, with that comes the fear, and you know the uncertainty that you know exactly almost trepidation.
• 23:43
  Speaker 1: I think it's interesting.
• 23:44
  Speaker 1: I've actually started finally utilizing some of it More for social media posts.
• 23:49
  Speaker 2: How do I?
• 23:50
  Speaker 1: get more eyeballs on my social media stuff.
• 23:51
  Speaker 1: I need to build my brand a little better.
• 23:53
  Speaker 1: I need to do a better job.
• 23:55
  Speaker 2: Which it could totally help you with all that it's massive.
• 23:57
  Speaker 1: I mean it's crazy.
• 23:58
  Speaker 1: You can put up essentially the same post and let AI create the caption versus yourself and it's amazing how many more views, how many more eyeballs you get.
• 24:10
  Speaker 1: And like I mean again like I'm in the sales business, we're all essentially in to an extent like just trying to get some eyeballs.
• 24:12
  Speaker 1: At the end of the day, one of the obviously we we kind of went nuclear, you know, literally right off the bat with the Terminator reference.
• 24:20
  Speaker 1: But I think, like you and you mentioned you have kids, I have kids.
• 24:27
  Speaker 1: I've got a daughter who's going to be a high school senior freshman next year.
• 24:30
  Speaker 1: My son's in fifth grade, he'll be in sixth and, um, you start seeing the things being implemented to to discourage the use of these technologies academically and obviously as a parent at the time as a right, like I mean it's, it's I mean in the 70s, you couldn't keep your kids from smoking or playing video, or
• 24:45
  Speaker 1: playing video games and nowadays you can't keep them off their phone.
• 24:48
  Speaker 1: Like how do you, how do you really expect to keep them from from utilizing a tool?
• 24:53
  Speaker 1: That's that.
• 24:53
  Speaker 1: By the way, they're looking at mom and dad, like my kids, they know I use AI for some of the stuff.
• 24:57
  Speaker 1: Like so am I leading by?
• 24:59
  Speaker 1: Example?
• 24:59
  Speaker 1: Oh, you can't write that research paper with AI.
• 25:02
  Speaker 1: Example as oh, you can't write that research paper with AI.
• 25:04
  Speaker 1: And I know I mean you got to understand the topic and do some research.
• 25:06
  Speaker 2: But, yeah, so, when it comes to that, it's so funny that you mentioned that because, um, I, I've been using a form of AI, like I said, you know IFTT technology, right, you know, for since before my daughter was born, right?
• 25:18
  Speaker 2: So the house our kids will never know, first and foremost, a world without wifi.
• 25:24
  Speaker 1: They won't understand they don't know a phone.
• 25:25
  Speaker 1: I don't know Rotary phones and pagers.
• 25:28
  Speaker 2: Or when you hear movies that they do like you know um the dial up sound on the computer.
• 25:33
  Speaker 2: Oh, what is that?
• 25:34
  Speaker 2: What is that annoying sound, right, and I'm like, wow, like you know my childhood, that's what that sound is.
• 25:39
  Speaker 2: Exactly, and so you know, and when I bring up as Jeeves for all, the old school peeps as Jeeves before Google, right, that was the number one search engine.
• 25:49
  Speaker 2: And so the funny thing, when it comes to all this, it's the same thing.
• 25:54
  Speaker 2: Once again, we're going through the same thing that every industry that has ever been created goes through, and it's people that are fear, it's fear, and it's fear, not because it's bad, it's fear because they don't understand it.
• 26:08
  Speaker 2: They don't know how to utilize it, they don't know how to best implement it, and all of that.
• 26:14
  Speaker 2: And so, when it comes to education, you know, my daughter came to me the other day, a few weeks ago, and she needed to do a for social, for social studies yeah, social studies.
• 26:22
  Speaker 2: She needed to do a for social, for social studies.
• 26:24
  Speaker 2: Well, no, yeah, social studies.
• 26:25
  Speaker 2: She needed to do a podcast episode.
• 26:28
  Speaker 2: No way, three minute long podcast episode and she knew a guy huh she knew a guy, but naturally she came to me and she was like dad, I know that you know how to do this and everything.
• 26:38
  Speaker 2: Can you help me?
• 26:38
  Speaker 2: And all that.
• 26:39
  Speaker 2: And I'm like cool, well, what's the podcast episode going to be about?
• 26:41
  Speaker 2: It's this, and it's like cool, what's your script look like?
• 26:43
  Speaker 2: And she's like I don't know.
• 26:45
  Speaker 2: I don't know.
• 26:46
  Speaker 2: And I'm like cool, well, let's go use chat GTP.
• 26:49
  Speaker 2: And I showed chat gtp literally could help her with that assignment.
• 26:54
  Speaker 2: Now, granted, there's the complete opposite happening in the education system right well, actually it's not even that, it's a 50 50 because they're I hate, I hate that I have to say this like this but the wealthy education systems, they're all bullish about using ai.
• 27:14
  Speaker 2: They are already dumping tons of money because, once again, the wealthy education systems have the funds to to to capitalize on this type of stuff and go, you know, influence kids to.
• 27:26
  Speaker 2: Hey, go, experiment and maybe build a better chat bot for the school.
• 27:32
  Speaker 2: That can help you know students with their assignments and stuff like that, they're all for it.
• 27:35
  Speaker 2: But the education systems that can help you know students with their assignments and stuff like that, they're all for it.
• 27:36
  Speaker 2: But the education systems that can't afford that, they're completely against it.
• 27:43
  Speaker 1: And so which sucks right.
• 27:44
  Speaker 1: Like just because you can't afford something doesn't mean you should hate it or despise, but I think that's all.
• 27:49
  Speaker 1: There's a lot of that fear basis that's built in there as well.
• 27:53
  Speaker 1: Right, like the two biggest factors of motivation in the world of fear and pain.
• 27:56
  Speaker 1: You know it's like I mean, yeah, I'm certainly motivated to not hurt, to not feel pain, you know, because I'm afraid of the pain, because I don't know how excruciating or extensive, or you know it will be.
• 28:11
  Speaker 2: And the education system is honestly the number one play.
• 28:14
  Speaker 2: Actually, the education system and the healthcare system are the two industries, personally, right now, that I believe are the ones that can benefit the most from AGI, from artificial generative intelligence, and I think that those are going to be the two industries that are going to be disrupted the most.
• 28:29
  Speaker 2: Now the healthcare system is extremely heavily regulated.
• 28:33
  Speaker 2: So even if a hospital or anything you know, doctors, um, let's say Kaiser Permanente, you know, since one, it's one infrastructure for all the doctors and everything they're all it's one ecosystem and everything.
• 28:44
  Speaker 2: They're going to benefit a lot from that.
• 28:46
  Speaker 2: But that type of AI is going to go through all extensive regulation when it comes to that, um, but when it comes to the education system, that's a whole lot easier to implement and integrate and to build something for that, because it's, once again, it's you're trying to teach students on all of these different topics that basically same thing they're.
• 29:07
  Speaker 2: They're on the Internet.
• 29:08
  Speaker 2: It's on the Internet.
• 29:09
  Speaker 2: There's YouTube videos about anything Like if you, if you don't know how to do a math equation, you know that your son needs help with, you can easily Google.
• 29:16
  Speaker 1: I've done it.
• 29:17
  Speaker 2: Right.
• 29:17
  Speaker 1: I've done it.
• 29:18
  Speaker 2: You can easily Google it and there'll probably even be YouTube videos of like other parents that um are explaining how to go about solving this new way of doing math because, the way that they're teaching kids how to do math nowadays is completely different than how we learned how to do math Right, and so, once again, ai is going to be able to be the.
• 29:42
  Speaker 2: honestly, it's the solution to this.
• 29:44
  Speaker 2: Now kids are going to I mean a lot of parents are going to probably say like, well then, how, how is my kid really going to learn if you know AI is just going to do it for them.
• 29:52
  Speaker 1: It's like.
• 29:52
  Speaker 2: It's not about that, it's not about doing it for them.
• 29:55
  Speaker 2: It's just becomes this new tool that is going to literally be part of their everyday life, the same way that smartphones and all this technology is part of our everyday life, the way that electricity in our household is part of our everyday life.
• 30:08
  Speaker 2: We all know how to use the switch power on, power off, right, all that fun stuff is the same thing.
• 30:14
  Speaker 2: Uh, ai is just literally going to be an extension of all of this, just in a far smarter way, that we, essentially, are all going to have our own personal assistant um and and that's powerful.
• 30:28
  Speaker 2: And once again, this ai can be trained not to give you the answer.
• 30:32
  Speaker 2: It can be trained to guide you, to have that answer which ultimately, when you think about that, it's like imagine all those kids that can't afford a tutor and now they've got one for free online that literally you can tell it like don't give me the answer, Teach me how to make, because that's one of the things that teachers are just going to have to get better about.
• 30:52
  Speaker 2: It's like show your work, which they already do.
• 30:54
  Speaker 2: Yeah, like hey, when you solve this moth problem.
• 30:56
  Speaker 2: Show your work, cool.
• 30:57
  Speaker 1: Great Record record screen.
• 31:00
  Speaker 2: Exactly so.
• 31:01
  Speaker 2: This is just going to be just another one of those things where we just need to figure out how to overcome some of these.
• 31:06
  Speaker 2: There's always going to be those kids that are going to be super smart or smart asses and they're going to try to find ways to cheat the system, and then, once again, we just just like anything.
• 31:17
  Speaker 2: You just got to find where that leak is and patch that hole and okay, cool, great, and that's basically it.
• 31:23
  Speaker 2: You know, for my point of view, it's Pandora's box is open.
• 31:29
  Speaker 2: Students are already using this, whether the teachers hey, you can't use ChatGTP to make your essay.
• 31:35
  Speaker 2: You know you got to show your work, whatever the case might be.
• 31:37
  Speaker 2: Cool, great, you know.
• 31:40
  Speaker 2: Now you've got your own personal tutor that costs you nothing, that can help you, navigate you on exactly how you can go about doing this yourself.
• 31:45
  Speaker 1: There's going to be certain things that the students have to go back to pen and paper.
• 31:49
  Speaker 2: Correct, you know.
• 31:50
  Speaker 1: I think it will.
• 31:50
  Speaker 1: One of one of the things that you touched on that I absolutely love is that I actually believe that the chat GPT stuff is teaching us how to ask better questions.
• 32:01
  Speaker 1: Correct, you know.
• 32:01
  Speaker 1: Yes, and one of the conversations that I have with my son, one of my biggest frustrations, like I'll use an example, just when was it?
• 32:11
  Speaker 1: Friday night, no.
• 32:12
  Speaker 1: Monday night, no, friday night, yeah, friday night, friday night, he had a baseball game, okay, and he couldn't find her.
• 32:16
  Speaker 1: Sorry, this was Sunday, this was yesterday morning.
• 32:18
  Speaker 1: Had a baseball game.
• 32:19
  Speaker 1: We're up at 530 in the morning.
• 32:21
  Speaker 1: We've got to get to this game.
• 32:22
  Speaker 1: He said be at the field at 7.
• 32:28
  Speaker 1: I'm convinced it rained so much there's no way we're playing.
• 32:30
  Speaker 1: But we find his jersey.
• 32:31
  Speaker 1: He can't find his jersey.
• 32:32
  Speaker 1: He's been up for three minutes.
• 32:33
  Speaker 1: I'm in the shower and I hear him go wake up.
• 32:36
  Speaker 1: His mom, mom, I can't find my jersey.
• 32:37
  Speaker 1: Where's it at?
• 32:38
  Speaker 1: I about blew a gasket because I'm like, dude, all I need from you is to be a problem solver.
• 32:45
  Speaker 1: I said mom doesn't get to sleep in that often it's 5.30 in the morning on a Sunday.
• 32:49
  Speaker 1: Dude, let her sleep.
• 32:50
  Speaker 1: You're telling me you put two minutes of effort looking into your looking in, looking for your Jersey to get yourself to your game.
• 32:57
  Speaker 1: You know I go, I go.
• 32:58
  Speaker 1: Man, you gotta be better than that Like.
• 33:00
  Speaker 1: You gotta focus on being a problem solver, and that's what I, that's.
• 33:03
  Speaker 1: What I love about this is it's it's if we can encourage the kids to use this to to solve problems, cause I think that's the age old adage for parents.
• 33:12
  Speaker 1: If you can just make your kids a really, really solid problem solver, they're going to be fine.
• 33:17
  Speaker 1: Can you change your tire?
• 33:19
  Speaker 1: Can you fill a gas tank?
• 33:20
  Speaker 1: Can you find the answer?
• 33:22
  Speaker 1: I don't care where you find it?
• 33:23
  Speaker 1: I don't care how you like.
• 33:24
  Speaker 1: Is it a good answer and did you find it?
• 33:27
  Speaker 2: And that's one of the things to add on to that.
• 33:29
  Speaker 2: That really excites me about this, it's how many people like, and then this leads not just for the problem solving of just the average individual, but how many people are complex locks down on their lock financially.
• 33:46
  Speaker 2: You know all those homeless people out there.
• 33:47
  Speaker 2: That breaks my heart, you know.
• 33:49
  Speaker 2: Some people are like, hey, they put themselves there and honestly, it's like you go and you survey them.
• 33:53
  Speaker 2: I've had conversations with a lot of these folks and the answer is always I didn't know.
• 34:12
  Speaker 2: Right, I didn't know, I didn't know.
• 34:12
  Speaker 2: And ultimately, what that tells me is lack of education, right, and whether it was a choice of lack of education, right.
• 34:15
  Speaker 2: You know, you are what you learn, you learn what you see growing up, and it's that, or whatever the case might be.
• 34:17
  Speaker 2: This technology has the potential for that to become a thing of the past, for people to have easier access to information, because even right now, oh well, stuff is on the internet.
• 34:28
  Speaker 2: People can just Google it.
• 34:29
  Speaker 1: You still need to know what link you're going to click out of the thousands of pages and all that, you'll still be able to sort through the bullshit.
• 34:35
  Speaker 2: Exactly.
• 34:35
  Speaker 2: Thank you.
• 34:36
  Speaker 2: There's so much shitty information out there, Like and that's actually one of the things that I'll lead on when you, uh, I think one of the questions that you had sent me said uh, you know how, um, what are some of the problems, the limitations, of AI.
• 34:49
  Speaker 1: Yeah, let's jump in, man.
• 34:50
  Speaker 1: I mean let's talk.
• 34:50
  Speaker 1: Let's talk about the limitations.
• 34:52
  Speaker 1: I mean for sure.
• 34:53
  Speaker 2: Yeah, so the limitations, which basically adds on to this, is that, believe it or not, over the next two years, this next iterations of this AI is going to plateau because it's going to run out of data to learn from.
• 35:11
  Speaker 1: It read all the books.
• 35:13
  Speaker 2: Basically because read all the books basically and so.
• 35:14
  Speaker 2: But here's the actual thing is that, even though it's like been trained on everything that's on the internet, not everything is good yeah and that's kind of one of the problems.
• 35:25
  Speaker 1: It so in fact more of it's probably garbage.
• 35:27
  Speaker 1: Yeah, exactly.
• 35:28
  Speaker 1: There's probably exponentially more garbage on the internet than actually truly founded, valuable data you are 100% correct on that.
• 35:36
  Speaker 2: You are 100% correct on that.
• 35:37
  Speaker 2: So ChatGTP4 was trained on about 12 trillion 12 trillion pieces of data or words.
• 35:47
  Speaker 1: That's one of those numbers that would take multiple days to write by hand, right Trillion like it takes a long time to write Exactly so it would be, yeah, for you to write from 1 to 12 trillion.
• 35:54
  Speaker 2: It would take you time to write exactly.
• 35:55
  Speaker 2: So it would be it, yeah, it would, for you to write from 1 to 12 trillion.
• 35:57
  Speaker 2: It would take you forever to do that.
• 35:59
  Speaker 2: Um, so 12 trillion pieces of uh, of data is what it's been trained on, and only a sliver of it is actually good information books, newspaper we're talking about proper grammar here, right which now they're starting to pivot and or they already had technically and they've transcribed videos, movies, anything that's public, you know, youtube videos more more more specifically, google has been training on it, so has there's a report that came out where you know open AI, licensed or not licensed, or?
• 36:36
  Speaker 2: something where they ended up getting access to it.
• 36:39
  Speaker 1: There'll be some sort of subscription fee tagged onto it, right?
• 36:41
  Speaker 2: Yeah.
• 36:41
  Speaker 2: So that's kind of like the biggest key thing is that.
• 36:43
  Speaker 2: You know well, the biggest key thing about, like all of these companies OpenAI, meta, which they have- their own also LLMs large language models, agi that's what it is.
• 36:53
  Speaker 2: The technology behind it is large language models, llms.
• 36:54
  Speaker 2: Large language models, agi that's what it is.
• 36:55
  Speaker 2: The technology behind it is large language models, llms all of that.
• 36:59
  Speaker 2: None of them want to have to pay for the data that they're using to train their stuff on.
• 37:05
  Speaker 2: They don't, so they're getting away by simply on this grayscale of scraping all of the public information.
• 37:12
  Speaker 2: Basically, if you can find it on your own, without having?
• 37:15
  Speaker 2: a password you know for it encryption, then they're using it.
• 37:22
  Speaker 2: They're using it to train all of this AI, but right now, the limitations are that they suspect that in the next two years, based on what they've already discovered and everything like that, that, um, the, the, the growth of these AI systems, uh, could become a little stagnant.
• 37:37
  Speaker 2: So that's one of the things that that's one of the problems that they're using AI to help solve, because they're called, they're they're starting to think or they are testing doing what's called inbreeding of, basically, where they're using synthetic data, where a AKA you're using AI to to generate you its own information or whatever.
• 37:59
  Speaker 1: So they're using and that becomes a published document and now correct, other AI sources are learning from that that was created by AI.
• 38:06
  Speaker 1: But now the problem with that is becomes the whole head has exploded about seven times just because of some of the shit you've said right now.
• 38:13
  Speaker 1: I'm like.
• 38:13
  Speaker 1: Holy shit, my dumb ass is like no, it's crazy.
• 38:17
  Speaker 1: I understand this.
• 38:18
  Speaker 2: Yeah, no, so it's crazy how, um, uh, what you just said right now you know that it the other LLMs are going to learn now from that.
• 38:25
  Speaker 2: So that's kind of the problem that they're also that's another problem that it creates is that the boundaries for the AI is learning right which?
• 38:32
  Speaker 2: has.
• 38:32
  Speaker 2: What's the?
• 38:33
  Speaker 2: There's a word for it, uh, but it's the simplest explanation.
• 38:37
  Speaker 2: Is you know, um, if you've ever seen a a tv show, silicon valley, the hbo tv show silicon valley?
• 38:44
  Speaker 2: There's this one thing where this, like you know, the servers overload when, all of a sudden, a chat bot starts having a conversation with another chat bot, and now they're like back and forth and the, the usage they won't shut and they won't shut up and they won't shut up, and so basically the same problem could arise here, where the AI is basically continuing to learn on other AI information.
• 39:07
  Speaker 1: It's a snowball effect.
• 39:07
  Speaker 1: Right, it's a simple snowball effect.
• 39:09
  Speaker 2: And at that point, the problem right now with AI is that, like I said at the beginning, the disclosure at the bottom right.
• 39:16
  Speaker 2: You know, double check you.
• 39:16
  Speaker 2: Like I said at the beginning, the disclosure at the bottom right.
• 39:17
  Speaker 2: You know, double check the work.
• 39:19
  Speaker 2: You know it, could, you know it might.
• 39:21
  Speaker 2: It gets it wrong, all that other type of stuff, right, because it's guessing the next word in front of itself and sometimes it's not going to be right.
• 39:27
  Speaker 2: And if you tell it enough times in one conversation that two plus two is five, it will then believe that two plus two is five.
• 39:34
  Speaker 2: And so if all of a sudden you're using a synthetic data to continue to keep training all of these AI models, then you can run into the problem where eventually, even now already, it sounds so right but it's so wrong, right, and that's where misinformation then becomes a very, even bigger problem, at which we already have misinformation problems.
• 39:57
  Speaker 2: You know what I mean.
• 39:59
  Speaker 2: Like there's, there's, there's a lot of people that believe that their opinion is fact.
• 40:03
  Speaker 2: Yeah, exactly, and, and, and.
• 40:05
  Speaker 2: At the end of the day, we know that that's not true to, to, to everything, and so for AI to really sound so good and so right, but it is wrong and, once again, if you don't know the real answer, then you can't tell the difference between it.
• 40:22
  Speaker 1: And so that's kind of like the.
• 40:23
  Speaker 2: The other problem that it creates is by using synthetic data to train artificial intelligence.
• 40:27
  Speaker 2: Then how do you train the AI to know that it's been trained on AI generated content?
• 40:33
  Speaker 2: Because then again, it sounds so right but it's wrong, and so on, and so on, and the same thing.
• 40:38
  Speaker 1: Yeah, and then and then.
• 40:40
  Speaker 1: So let's say, let's say you do get to that point where, okay, you tell, you tell the AI it can't, it can't research other AI generated data.
• 40:47
  Speaker 1: Yeah, well, who's controlling or moderating that?
• 40:53
  Speaker 1: Because now that person has ultimate authority and you know again your freedoms have gone Now it's regardless of what that person believes.
• 41:05
  Speaker 1: That's censorship correct.
• 41:07
  Speaker 2: Correct, and so that's.
• 41:08
  Speaker 2: That's the catch 22 right now that is happening when it comes to a lot of this stuff is you know so, right now, with like a lot of these AI models is specifically like you know?
• 41:14
  Speaker 2: So right now, with like a lot of these AI models is specifically like you know, google Gemini is a good example.
• 41:19
  Speaker 2: Um, it had to shut down, uh, the generation of of of making people, uh, when it came to like it's a text to image, which that's obviously a really great tool that I love to use.
• 41:29
  Speaker 1: It's super cool man, that stuff looks so cool.
• 41:31
  Speaker 2: So much stuff.
• 41:32
  Speaker 2: You can create some really cool marketing images that are really aesthetically pleasing and eye-catching and all that, but it can also create stuff that is not factual whatsoever.
• 41:43
  Speaker 2: It might look cool in theory, but if you're trying to aim for something factual, once again, opinions right Someone can all of a sudden feel and that's exactly what ended up happening and kind of circling back to you know, lpnai was the first one out to market, you know, with this type of tool.
• 42:01
  Speaker 2: Why?
• 42:01
  Speaker 2: Well, because they were the ones that didn't have anything to lose.
• 42:04
  Speaker 2: Yet the technology that allowed, you know, the creation of large language models was actually invented by google engineers, and they did a white paper called transformers.
• 42:15
  Speaker 2: And that was like in 2016, where it became the pivotal moment of like yo.
• 42:23
  Speaker 2: And that's where Elon Musk and a bunch of other investors invested in creating open AI, um, which he then later, you know, uh, got out of, but um, needless to say, you know, google at the time knew that like well, if we come out with this, we have a lot to lose.
• 42:36
  Speaker 2: And guess what Look you know this stuff has already been out for a while and everything.
• 42:40
  Speaker 2: And then Google Gemini, you know, wasn't creating factual images when they were saying, you know, generate a picture of a pope and it's like a black pope.
• 42:49
  Speaker 2: And that's never been a thing, right.
• 42:52
  Speaker 2: And so all of a sudden, you know that created some uh, uh, essentially investor chaos to where, all of a sudden, they lost like $9 billion like overnight, or $90 billion like overnight in wall street value.
• 43:05
  Speaker 2: Right, and so that type of stuff is what Google had always been trying to prevent themselves from ever happening, from the very beginning Right and so um.
• 43:13
  Speaker 2: This is.
• 43:14
  Speaker 2: This is where, like a lot of this chaos, misinformation and everything like that just is, is is this is still very wild wild West.
• 43:21
  Speaker 1: Oh yeah, oh yeah.
• 43:22
  Speaker 1: I mean like, and it's, it's, the, it's, the, it's, it's the new manifest destiny, or westward expansion, right, like you don't know what's on the other side of those mountains when you get to Denver, or what is currently Denver, and you're headed West.
• 43:36
  Speaker 2: Yeah.
• 43:36
  Speaker 1: Um, after a you know a shitty hard climb through the winter, yeah.
• 43:40
  Speaker 1: Who knows?
• 43:41
  Speaker 2: I mean, yeah, you know, but it's only going to get, keep getting better, cause.
• 43:44
  Speaker 2: At the end of the day, the one thing that, once again, I have a lot of faith in is is all of this is all software.
• 43:50
  Speaker 2: It's all software meaning that it's all ones and zeros and it's four, it can be unplugged or it can be essentially, you know, programmed, reprogrammed.
• 44:00
  Speaker 2: And going back to what you were saying about censorship and everything like that, that's kind of one of the things that the earlier versions of AI or AGI it didn't have filters.
• 44:10
  Speaker 2: You could literally ask it how to build certain things, how to make certain things.
• 44:15
  Speaker 2: We had to make certain, yeah, we had to learn those.
• 44:16
  Speaker 1: We had to learn that, oh, you know what there's bad people in the world.
• 44:19
  Speaker 1: We have to remind ourselves.
• 44:20
  Speaker 2: It was trained on everything on the internet and there are websites that you don't want your kids or anybody to normally be seeing, and usually, once again, google search engines.
• 44:29
  Speaker 2: Well, not even google search engines, but isps, uh, internet service providers.
• 44:34
  Speaker 2: There are regulations in place that literally dictate at a government level that you will not index.
• 44:41
  Speaker 2: That's what it's called crawl or index.
• 44:43
  Speaker 2: You know, any type of website that's got this type of information.
• 44:47
  Speaker 1: Yeah, you get flagged right.
• 44:48
  Speaker 1: You're getting flagged immediately, Exactly.
• 44:50
  Speaker 2: And so those websites live in the dark web.
• 44:53
  Speaker 2: And then there are browsers that is not Google Chrome or is not, you know, bing or any of that that actually have access to the dark web.
• 45:02
  Speaker 2: It doesn't take it, it's literally very easy to get there.
• 45:05
  Speaker 2: You just got to know what you're looking for to find it.
• 45:08
  Speaker 2: But it's not gate like gate kept, it's just your ISPs are not indexing it in your normal google chrome browser when you're, or google's not indexing it either, or any of that, or allowing any of that.
• 45:23
  Speaker 2: So censorship this, all this ai stuff now, because they know like hey, it can teach you how to make or some really nasty stuff.
• 45:35
  Speaker 2: We need to set bumper guards, those are called um, you know?
• 45:40
  Speaker 2: um, uh, uh, man, why did the word escape me?
• 45:44
  Speaker 2: Anyways, they basically create guardrails.
• 45:47
  Speaker 2: They're creating guardrails.
• 45:49
  Speaker 2: That's what all of these llms have been tasked out, you know, from the government, because, once again, that all the craziest part is, all of these AI developers have been screaming at the Capitol, like you know.
• 46:03
  Speaker 2: Washington, you know the, the president, everybody, Congress, you need to regulate us.
• 46:08
  Speaker 1: Yeah, not, you don't want to be regulated.
• 46:11
  Speaker 2: It's you need to regulate us.
• 46:13
  Speaker 2: You need to set a standard across everybody, because this thing is dangerous and it's dangerous in the sense of, once again, misinformation that it can sound so right but it's so wrong.
• 46:22
  Speaker 2: The information that is now at a simple command like how do I make this?
• 46:27
  Speaker 2: How do I get away with this?
• 46:29
  Speaker 2: It's there right.
• 46:31
  Speaker 2: So, once again, hey, you got at a minimum, you have to have these type of guardrails, right, but then are those guardrails censorship right, right, exactly.
• 46:42
  Speaker 1: It leads you right.
• 46:42
  Speaker 1: It leads you right back to the same question, because this tech is going to be battling the question of censorship for existence there's no way around it, because and a lot of it dude at the end.
• 46:55
  Speaker 2: My personal opinion and all this is common sense and it just sucks that not many people have it.
• 47:01
  Speaker 2: And here's the thing even the people that don't have it, they know right from wrong.
• 47:06
  Speaker 2: I don't care who you are, how you think, what your belief system is, whether it's left or right or in the center or whatever.
• 47:13
  Speaker 2: You know deep down inside, that little voice in your head.
• 47:17
  Speaker 2: We all have it right.
• 47:19
  Speaker 2: We're not crazy, we all have it's called a conscious.
• 47:21
  Speaker 2: You know deep down inside whether you're like oh, people should have it, like, should they?
• 47:28
  Speaker 2: People should know this, should they?
• 47:31
  Speaker 1: I think there's.
• 47:31
  Speaker 1: There's a degree of human nature that pulls you in that direction.
• 47:34
  Speaker 1: Right, like like batman is a.
• 47:36
  Speaker 1: Is he a good guy or a bad guy?
• 47:38
  Speaker 1: Right, he's a vigilante.
• 47:39
  Speaker 1: Right like he does bad things.
• 47:41
  Speaker 2: Yeah, for the greater good yeah so because, at the end of the day, who is he taking out?
• 47:49
  Speaker 2: Right, it's, technically, somebody that was.
• 47:51
  Speaker 2: It's that same thing.
• 47:53
  Speaker 2: Should people have access to know how to get away with or build?
• 47:59
  Speaker 1: yada, yada, yada that is technically not good.
• 48:01
  Speaker 1: No, no, it's that, it's that balance of of ethics and and also moral, moral compass and yeah, right, like right from wrong.
• 48:11
  Speaker 1: Like you and I could have completely different opinions of the same person and justify our opinions probably pretty well, because we're relatively intelligent people and somebody else might have a whole different opinion based on factual knowledge as well.
• 48:26
  Speaker 2: How they were raised, what they were taught and everything like that.
• 48:29
  Speaker 1: They're a product of their environment as well.
• 48:30
  Speaker 1: So it's like and I think the hard part is and I don't want to go into politics at all, but I mean we've created such a divide and and these tools are being used to create that divide right Like we use the example of overlaying Morgan Freeman's voice on something like the dude's got a magical voice.
• 48:47
  Speaker 1: Absolutely Like the dude could tell me to F off, and I'm like sweet dude looking forward to the trip, right, like, and that's the power of those things and that's what I think we have to to realize.
• 48:59
  Speaker 1: I remember my mom about 10 years ago and I hope she's listening hi, mom.
• 49:03
  Speaker 1: She, she was so bothered like, but the um, the location being on her phone, because you walk by a store and it's sending information to your phones, it knows you, they're like with what they're selling inside in hopes that you'll make a turn and go in and buy their product.
• 49:16
  Speaker 1: And I said, well, mom, like I don't really care, like if the store knows I'm standing out in front of it and they want to try and sell me their goods like good on them, like that's actually a pretty good sales model, I think.
• 49:27
  Speaker 1: But I have the choice to say no, I don't want to go see that.
• 49:31
  Speaker 1: Hey, you know what?
• 49:32
  Speaker 1: Yeah, this does look pretty good, yeah, and you know what?
• 49:35
  Speaker 1: Oh, you know what, I do have enough money, I can afford this.
• 49:36
  Speaker 1: Like this isn't, this isn't like an impulse buy or anything like that.
• 49:39
  Speaker 1: But that's where the danger lies is when, when people make those impulsive, impromptu decisions, um, and you know, which once again leads to self-awareness of people.
• 49:49
  Speaker 2: Right, the individual itself choices.
• 49:51
  Speaker 2: Education, yep, which this ai could very same.
• 49:54
  Speaker 2: Teach you those things yeah, right how can I stop being an impulsive buyer?
• 49:59
  Speaker 2: Yeah, and instead of you having to go through all that, you have a consensus summary that the ai is giving you we used to call it a pop-up blocker, right, yeah exactly.
• 50:07
  Speaker 2: Oh hey, you can do this, you can do that, you can add all this stuff to your phone if you want to.
• 50:11
  Speaker 2: Or self-development how do I myself become better?
• 50:15
  Speaker 2: And the the beauty is is like I've gone through that type of journey myself.
• 50:18
  Speaker 2: You know, throughout I didn't.
• 50:19
  Speaker 2: I didn't have this mindset when I got out of the military and I was a field service engineer and I was doing all these things.
• 50:26
  Speaker 2: It wasn't until I got into real estate that my mindset shifted, but it really shifted when I discovered that book.
• 50:32
  Speaker 2: Right, and I think that that's one of the things, as human beings, that we just have to continue.
• 50:36
  Speaker 2: I think that there's that's once again, without getting into politics.
• 50:39
  Speaker 2: Our education system is like what's really messed up, like personally, yep, I think that that's when people are like, oh, we need to change policy here.
• 50:46
  Speaker 2: Probably like no, honestly, we need to get to the root of all of this because, at the end of the day, all of these problems we're trying to fix at the top at at the surface, it all stems from lack of knowledge, lack of education, and when people say like, oh well, it's the parents fault, like no, too many decades, too many generations have gone by already that you can't put it on the parents anymore, and all that it's the product of the environment all of these generations ago, and that environment was then also manipulated in a certain way to get people ready for certain certain types of lifestyles, industry, work and all that, and we're just not there anymore and we use and we use the word manipulation and it's almost got this negative connotation to it, but it's, it's really not.
• 51:28
  Speaker 1: I mean you're, it's someone trying to guide you to believe the way that they do.
• 51:33
  Speaker 1: What if they have?
• 51:33
  Speaker 1: What?
• 51:33
  Speaker 1: If it's the pope?
• 51:34
  Speaker 1: You, you know the Pope, the Pope's probably pretty honest guy Like you should.
• 51:37
  Speaker 1: You should probably be feel pretty confident being in line with the Pope's thinking.
• 51:41
  Speaker 2: And the cool thing about when it comes to a lot of these religions, it's not about them trying to get you to believe in a lot of this stuff.
• 51:47
  Speaker 2: Um, it's the common denominator that I've.
• 51:50
  Speaker 2: I've once again, how AI can help with all of this is bring people to the realization that all belief systems, at the end of the day, want you to be the best version of yourself.
• 52:04
  Speaker 2: The golden rule.
• 52:04
  Speaker 2: The golden rule be the best version of yourself.
• 52:07
  Speaker 2: It doesn't matter what religion you believe in, what, whether you're jewish, whether you're catholic, christ, buddha, muslim, whatever.
• 52:15
  Speaker 2: All of them want you to be the best version of yourself.
• 52:19
  Speaker 2: That's it, the end of the goal is best version of yourself.
• 52:24
  Speaker 2: Ai can help you grow, understand that in the way that you can only know, because that's the that's.
• 52:32
  Speaker 2: That's one of the things that's very different from it.
• 52:34
  Speaker 2: Everybody learns differently.
• 52:36
  Speaker 2: Ai learns everything about you, has the potential to learn everything about you, what you like, what you do and all of that and when you are making choices that are not in the best interest of you becoming the best version of yourself, it can lead you down that path of doing so.
• 52:53
  Speaker 2: I've already seen tons of YouTube videos where people have that's what they do.
• 52:58
  Speaker 2: That's the next level of where we're at right now.
• 53:01
  Speaker 2: When it comes to consumer products, the smartphone, unfortunately, has plateaued.
• 53:05
  Speaker 1: It has.
• 53:06
  Speaker 1: Yeah, I mean.
• 53:07
  Speaker 2: It can only go so big.
• 53:08
  Speaker 2: We've tried the phablets, the phone, tablets right.
• 53:12
  Speaker 2: Guess what they weren't a hit why they're too big right, they fit in my pocket.
• 53:16
  Speaker 2: Exactly, and so now we've already gone too big on our screen, like we're at the edges of the biggest size of phone that people are comfortable with.
• 53:24
  Speaker 1: Yeah, you don't see much variation in the size anymore.
• 53:26
  Speaker 1: They know how small and how big, correct anymore.
• 53:32
  Speaker 2: They know how small and how big.
• 53:32
  Speaker 2: They've learned.
• 53:33
  Speaker 1: They've learned right, probably through AI Correct.
• 53:34
  Speaker 1: Well yeah, mass data composition Mass data?
• 53:35
  Speaker 2: Yeah, exactly, and that's ultimately what it is right.
• 53:37
  Speaker 2: They use AI to understand all of the data, analyze it, go through a lot of data really quickly and get a consensus of like, hey, here are the best selling sizes period across all of this, right.
• 53:51
  Speaker 2: So once again, smartphones have plateaued in the sense of they're only going to get smarter because of now the software development that's going to go into them, but AI, ultimately, is going to replace the need for number one commodity time.
• 54:06
  Speaker 2: It's the one thing that everybody wants more of People with the self that, you, that, that, that that everybody wants more of people with the self-driving car why?
• 54:13
  Speaker 2: Correct, right.
• 54:14
  Speaker 1: Because they can be doing so many other things while their car's driving them to get there.
• 54:17
  Speaker 1: It's no longer a waste of time.
• 54:19
  Speaker 2: So that's kind of where we're going to.
• 54:21
  Speaker 2: Next is now there are companies that are developing technology that, uh, there's like, uh, like human um.
• 54:28
  Speaker 2: Uh, h U dot M a N?
• 54:30
  Speaker 2: E like human Um.
• 54:32
  Speaker 2: They just came out with, like the human AI pin.
• 54:34
  Speaker 2: Uh, it's basically a device that you like mount on your chest and it's got like a little face forward facing camera and a little my uh Pico projector.
• 54:41
  Speaker 2: Uh, so essentially, like you press a button on it and you can talk to it and tell it like hey, you know, add these things to my shopping list and can you read off the last email that I just got and also send my mom a text message and tell her that you know I'll be over for dinner at 7 PM, and so on and so on, and you're just thinking this.
• 54:58
  Speaker 1: No no, no, no, no, no.
• 54:59
  Speaker 1: You're vocalizing.
• 55:05
  Speaker 1: Okay, the thinking part.
• 55:06
  Speaker 1: That's what Elon Musk is working with.
• 55:08
  Speaker 1: Yeah, that's the.
• 55:09
  Speaker 2: I was like, oh man this, but that's once again, all of that is all AI, though, because how, what is the technology that's being used to read your thoughts and then being able to put thoughts into actual, practical things?
• 55:20
  Speaker 2: That's AI.
• 55:20
  Speaker 2: You're training an algorithm to know, like hey, when you're thinking this specific frequency, that specific frequency or wave pattern, or whatever means the word I love you or whatever right so that's a whole different thing, but still same same context of ai, and that's what we're going into.
• 55:37
  Speaker 2: We're going to.
• 55:37
  Speaker 2: We're going into a convergence of where physical devices and ai capabilities are going to merge into one, because and you'll be hands free again.
• 55:48
  Speaker 1: Right, you get both hands back and that's ultimately which leads to more yeah, productivity, which leads to less wasted time correct exactly, and that's ultimately what, what, what.
• 55:57
  Speaker 2: And when people say like, oh, I don't know, that's scary or whatever, it's like no, your own subconscious, your own subconscious is going to choose that.
• 56:05
  Speaker 2: You know why?
• 56:05
  Speaker 2: Because you chose the smartphone subconsciously.
• 56:09
  Speaker 2: Why?
• 56:09
  Speaker 2: Because it's simplified and it was efficient and it did a bunch of different.
• 56:13
  Speaker 2: It wasn't.
• 56:13
  Speaker 2: It's not because it was cool.
• 56:15
  Speaker 2: Everybody will lose, like everybody has the, the, the, the, the new, shiny, you know object syndrome Everybody has it right, like a, like a new toy but there's nobody on the planet who doesn't want for something.
• 56:27
  Speaker 2: Correct and when you have it.
• 56:29
  Speaker 2: If that item does not, in one way or another, make your life better, it eventually goes into a corner or something.
• 56:38
  Speaker 2: We see that in kids and we as adults the same thing, and we get better about this stuff that we buy as we get older, because we know the things that are just going to end up in a, in a in a cupboard or in a corner somewhere or whatever.
• 56:51
  Speaker 1: We haven't figured out the clunky water bottles though right?
• 56:53
  Speaker 1: Yeah, we haven't figured that out yet right, they just keep spinning those and we just keep us or our wives or whoever keep buying them.
• 57:01
  Speaker 2: But the smartphone became one of those things that we literally, subconsciously, cannot live without because of what it can do for us.
• 57:08
  Speaker 2: Right?
• 57:08
  Speaker 2: The conversations, the connections, the communications, the work, the productivity, and all that AI voice.
• 57:15
  Speaker 2: Just having a conversation with AI in your house, in your car, and all that is going to subconsciously be the thing that you end up choosing at the end of all of this.
• 57:25
  Speaker 2: Why?
• 57:26
  Speaker 2: Because it's going to free up your hands, which now you don't have to.
• 57:29
  Speaker 2: It's going to free up your attention, which now you don't have to.
• 57:30
  Speaker 2: It's going to free up your attention, meaning that you don't have to be looking down at something right which is ultimately going to be feel better for your body.
• 57:37
  Speaker 2: We're going to get eye contact back Right, amazing, we're going to get eye contact back, and we're essentially, when me and you are having a conversation like this, like, let's say, right now I ended up having a brilliant idea I can just simply be like uh, blank, whatever you know, uh, you know everything that I just said the last 30 seconds.
• 57:57
  Speaker 2: Please write down into a note and remind me tomorrow to talk more about that.
• 57:58
  Speaker 2: Right, Like just simply saying that, not even having to touch anything, whatever, just all voice command, that type of stuff.
• 58:03
  Speaker 2: That's the practicality of it and that's what's already been discovered in these major tech industries Google opening AI.
• 58:11
  Speaker 2: There's a company called Rabbit.
• 58:13
  Speaker 2: They just released like a device called the R1.
• 58:15
  Speaker 2: Humane, they know this, and these are some of the smartest individuals on the planet when it comes to artificial intelligence.
• 58:23
  Speaker 2: They've realized like the convergence of this is going to be to get this into people's hands, but not really in your hands, it's right yeah, on your person, on your person.
• 58:37
  Speaker 1: Yeah, and so um and and and the wearable tech is kind of the gateway to that Right, I mean, and which we're seeing that on smartwatches now have the capabilities of being able to make phone calls, track your vitals, tell you if you're fricking having a heart attack.
• 58:51
  Speaker 2: If you get into a car accident you know the fall thing and everything letting people know that you're hurt all that fun stuff and everything Right.
• 58:57
  Speaker 2: And guess what?
• 58:58
  Speaker 2: Who has been the biggest?
• 59:00
  Speaker 2: Who were the biggest people that pushed back on this type of technology at the very beginning?
• 59:04
  Speaker 2: Not even the smartwatch, but cell phones and everything Elder phone.
• 59:07
  Speaker 1: Elderly.
• 59:07
  Speaker 2: Yeah, but you know who's adopting like the smartwatch technology?
• 59:11
  Speaker 2: The most the elderly.
• 59:12
  Speaker 2: Why?
• 59:13
  Speaker 2: Because of what it can do for them.
• 59:15
  Speaker 2: It's there, it's there.
• 59:17
  Speaker 2: Uh, what was that thing that they used to wear around the?
• 59:19
  Speaker 1: Oh, I've fallen.
• 59:20
  Speaker 1: I can't get up.
• 59:20
  Speaker 1: What is that?
• 59:21
  Speaker 1: What was that button?
• 59:23
  Speaker 1: Oh my gosh.
• 59:24
  Speaker 2: Life, something or the life life.
• 59:26
  Speaker 2: Is it lifeline or?
• 59:27
  Speaker 1: life, something like life.
• 59:28
  Speaker 2: life lock, life no life lock is the lock, your credit, oh, but anyways it.
• 59:36
  Speaker 2: That's because because I watch has already been rolling out Once again, good marketing, right, apple has rolled out a bunch of good videos for marketing of people that have been in accidents and all that and how the watch saved their life and it detected their fall and called for, you know, and same thing like if, if an elderly is as they get older, right heart attacks or uh, yeah, the kid, the kids want it because it's stupid shit, right, but adults need it like, yeah, if I could free up both of my hands and not be on a phone in one of them, or I mean two of them most of the time, because I'm not, you know, I'm not fully utilizing the capabilities.
• 1:00:17
  Speaker 1: But yeah, it's true, like the need-based stuff, like Apple knows, the kids are going to want the newest phone.
• 1:00:23
  Speaker 1: They have no clue why.
• 1:00:24
  Speaker 1: They want the newest phone because the commercial was cool, correct.
• 1:00:26
  Speaker 1: But the adult might need the newest phone because yeah, that phone can monitor.
• 1:00:31
  Speaker 1: Yeah, it's monitoring their heart.
• 1:00:34
  Speaker 2: It's monitoring their brain.
• 1:00:35
  Speaker 2: Now add AI to that to where it's having conversations with you, telling you that, hey, you need to calm down.
• 1:00:42
  Speaker 1: Slow down.
• 1:00:43
  Speaker 2: Your heart rate's a little hard, your heartbeat, your rhythm is abnormal and whatever.
• 1:00:49
  Speaker 2: And, more importantly, circling back to health healthcare on how AI is going to be.
• 1:00:53
  Speaker 2: That's my number two on like how AI is really going to disrupt that industry I've been using.
• 1:00:59
  Speaker 2: This example is in healthcare.
• 1:01:01
  Speaker 2: You go through a bunch of doctors in your lifetime, yep, and sometimes some of the things that you experience as a kid show up in your life way later in life, because things go dormant and a lot of people don't realize that your body changes.
• 1:01:15
  Speaker 2: Like every seven years.
• 1:01:16
  Speaker 2: Your body goes through this weird cycle uh, you, things that you weren't allergic to before you now are allergic to, and then, seven years later, those things that you were allergic to, you know they're not exactly, watermelon was one of those for me, which, which was weird I went through a seven year period where, like I was allergic to watermelon at some degree not super mild, uh itchy throat kind of thing and, um, now I can kill it, it's nothing Right, but I used to also kill nothing but watermelon as a kid.
• 1:01:43
  Speaker 2: Um, so little things like that.
• 1:01:46
  Speaker 2: Needless to say, though, all those doctor visits and everything what happens when you go to a doctor right now, right, they want to treat these symptoms?
• 1:01:53
  Speaker 1: Well, they need your history.
• 1:01:54
  Speaker 1: Well, they need your history, which you may or may not have.
• 1:01:56
  Speaker 2: Might not have or you do, but they don't go through all that data.
• 1:02:00
  Speaker 2: No, there's no way.
• 1:02:01
  Speaker 2: There's no.
• 1:02:02
  Speaker 2: Your medical file could be a million pages thick, exactly, and the older you get, the more complication things you have and some of the things that might've started from when you were maybe a car accident, maybe when you broke a leg or something like that right Um shrapnel if you were in the military, uh, and you were in an explosion or something like that.
• 1:02:22
  Speaker 2: The point is is the healthcare system is so messed up right now that you only get 15 minutes with a doctor when you go see them.
• 1:02:29
  Speaker 2: It's 15 minute windows that they got with you, right, and so what ends up happening there is that they're really only trying to treat the symptoms.
• 1:02:37
  Speaker 2: They don't.
• 1:02:38
  Speaker 2: They're not trying to cure it, they're trying to treat the symptoms.
• 1:02:41
  Speaker 1: Well, it's a carnival ride right, like they're trying to get you through the line because the people behind you are getting pissed.
• 1:02:46
  Speaker 2: They've been in line for too long, which is a problem, so now imagine AI the same way that it's been trained on all this stuff on the internet, right, it's been trained on all medical procedures, all of these books that if you've ever seen- the compilation of symptoms.
• 1:02:59
  Speaker 2: Correct, I got these 500 symptoms.
• 1:03:04
  Speaker 1: Plug it in.
• 1:03:04
  Speaker 1: Okay, check for these four things, instead of just solely relying on that particular doctor or maybe his network of doctors, who he bounces these symptoms off of.
• 1:03:17
  Speaker 1: You literally have the Rolodex, you have the phone book and the worm to crawl through all the holes.
• 1:03:23
  Speaker 2: If you've seen the movie, the TV show House, right, oh yeah, when they can't.
• 1:03:27
  Speaker 1: the whole entire series was them trying to solve things right, and him having to dig things right and him having to dig deep into his to be so brilliant and it always, always, just an epiphany afterwards that hit him right, right.
• 1:03:37
  Speaker 2: All that time, all the every episode, how many different roller coaster rides that the patient go through.
• 1:03:43
  Speaker 2: He was about to die and they had to save him, and everything like that, right, and then ultimately it's like oh, the kid, had you know when he was a kid.
• 1:03:50
  Speaker 2: He, and then this, all of those right, but what are they doing?
• 1:03:54
  Speaker 2: The whole entire time, while they're trying to do, they're trying to go through all these books of symptoms and different cases and everything.
• 1:04:01
  Speaker 2: The AI is now trained on all that.
• 1:04:03
  Speaker 2: So in those 15 minutes, the doctor using AI can now literally go through and literally, like you said, narrow it down and say like yo, here's what he most likely has.
• 1:04:16
  Speaker 2: And the doctor can literally be like damn, I would have never thought of that.
• 1:04:19
  Speaker 2: But why did he choose that?
• 1:04:20
  Speaker 2: Well, because this person has a history of all these different things and it points to this and, out of thousands of cases, or maybe even just a few cases, this has been the actual cause of this right.
• 1:04:31
  Speaker 2: And so that's where I think once again healthcare, all that information.
• 1:04:36
  Speaker 2: Now add that to the smartwatch.
• 1:04:39
  Speaker 2: Add that to where Siri is now going to be that crazy smarter.
• 1:04:42
  Speaker 2: So when you are washing the dishes and you're 70 years old, or washing a car, or walking up and down the stairs and you're having these abnormal things, sometimes you don't notice them.
• 1:04:52
  Speaker 1: Sometimes you're just like.
• 1:04:54
  Speaker 2: I'm just tired, I had a long day or whatever.
• 1:04:57
  Speaker 2: But you might actually be coming down with something the watch itself could tell.
• 1:05:01
  Speaker 2: You could have that conversation, can nudge you and say hey, are you feeling this way as well, or do you feel these other?
• 1:05:11
  Speaker 2: Because it can be detecting these things and it can tell you like, hey, based on your body temperature and your heart rhythm and your breathing and all these different things, are you also feeling some pain, maybe in your leg or in your arm?
• 1:05:24
  Speaker 2: or anything or tingling, or numbness or any of that type of stuff, and the person can literally be like.
• 1:05:30
  Speaker 1: As a matter of fact, I am having that, siri or no, you know or no or no, I'm not right and it can.
• 1:05:35
  Speaker 2: but if imagine if the answer was yes, then it'd be like call 911, or I'm calling 911 for you, and.
• 1:05:41
  Speaker 2: I'm calling, or, or the like the new SOS on this.
• 1:05:44
  Speaker 2: You can have your family on speed dial where the watch if you fall or something like for example, if I click this thing five times quickly, it's going to send a text message to my mom, my dad, my brother, my wife, um, and my daughter, um, that I'm in trouble.
• 1:06:00
  Speaker 2: Here's my location, you know, and it will also call 911 for me, if I literally click this thing five times really quickly with that watches.
• 1:06:08
  Speaker 2: I believe they have something similar, all of that Right.
• 1:06:10
  Speaker 2: So just just imagine what AI is going to be able to do when you add that layer of where it now knows how to also be created.
• 1:06:20
  Speaker 2: Not be a doctor, but diagnosis, do prognosis on its own recommendations, cause at the end of the day, I don't think anybody's going to say like if it's a false alarm, better safe than sorry.
• 1:06:31
  Speaker 2: God damn, it's a false alarm better safe than sorry.
• 1:06:32
  Speaker 1: God damn it.
• 1:06:32
  Speaker 1: No, another false alarm.
• 1:06:34
  Speaker 2: You know no like no, and it's better that you have and people will people will.
• 1:06:39
  Speaker 1: People will be salty about it.
• 1:06:41
  Speaker 2: Some you know curmudgeon when you think about it, the percentage of those individuals are going to be very little yeah because the amount of people that are probably going to have their lives saved because of something like that is always going to be it's always going to be better.
• 1:06:54
  Speaker 2: And, at the same time, the it's better, that it's also you have something like that, then all of a sudden having to go to the doctor, have that huge medical bill, and that you're going through all these tests or whatever you know, or or trying, or you think, versus now having technology that is literally going to be able to help you like hey, you're just having an anxiety attack.
• 1:07:14
  Speaker 2: Do some breathing exercises, see if you feel better.
• 1:07:16
  Speaker 2: Great, versus, I think I'm dying.
• 1:07:19
  Speaker 1: Yeah, right.
• 1:07:20
  Speaker 2: Like all kinds of this type of stuff.
• 1:07:22
  Speaker 1: And the doctor's going what exactly are you feeling?
• 1:07:23
  Speaker 1: I feel like I'm.
• 1:07:24
  Speaker 1: That's what I'm feeling.
• 1:07:27
  Speaker 1: I feel like I'm dying.
• 1:07:28
  Speaker 2: So I think, think that that's that's not really a symptom.
• 1:07:30
  Speaker 2: Yeah, yeah, but yeah so that's, honestly, you know, ai in a nutshell of, like where, where we're at with things, you know what it's doing, where you're seeing the disruption, where I think is going to be the big disruption and all of that fun stuff, and and, honestly, like what we're going to see.
• 1:07:43
  Speaker 2: To circle back to your very first question where are we going to be five, ten years from now?
• 1:07:47
  Speaker 2: Well, as far as sac, in itself, it's going to be really cool.
• 1:07:50
  Speaker 2: I think you know technology in general, from from an infrastructure standpoint, it's going to be even more connected.
• 1:07:56
  Speaker 2: We're going to have better traffic systems, we're going to have better lighting, better, more efficient all that fun stuff, better experiences.
• 1:08:02
  Speaker 2: I think that that's also a big thing and that's what I'm up to more than anything with, with with hospitality is creating really awesome experiences projection mapping, um, all that fun stuff.
• 1:08:15
  Speaker 2: You know I'm a huge disney fan marvel's, my jam, iron man's you know my, my sci-fi role model.
• 1:08:20
  Speaker 1: In that sense, I love just the way that so I shouldn't use the batman reference then, oh no no, no, it's fine, because he is, you know, but it's good because vigilante.
• 1:08:28
  Speaker 2: There was a good analogy for being vigilante but doing stuff for the greater good.
• 1:08:31
  Speaker 1: For sure.
• 1:08:32
  Speaker 2: Right.
• 1:08:33
  Speaker 2: And so you know, from a human standpoint, how are we going to see people walking throughout Sacramento, driving throughout Sacramento five, 10 years from now?
• 1:08:42
  Speaker 2: Well, cars are going to be on autopilot.
• 1:08:44
  Speaker 2: They're going to be a whole lot smarter than the average individual.
• 1:08:56
  Speaker 2: They're going to prevent a whole lot more accidents.
• 1:08:57
  Speaker 2: They're going to be able to get you somewhere automatically If you are having issues, healthcare issues and everything you can't drive yourself or you can tell the car to get you there, right Like.
• 1:08:59
  Speaker 2: So that's going to be a really big key thing.
• 1:09:01
  Speaker 1: Think about the impact of that.
• 1:09:02
  Speaker 1: Yeah, ambulatory services go away.
• 1:09:05
  Speaker 2: Correct, yeah, I mean maybe not completely, but completely, because they'll, but yeah 30 years from now people that, hey, if only the ambulance could have gotten there faster.
• 1:09:17
  Speaker 2: well, if your car can drive itself, it would have gotten you there as just as fast.
• 1:09:22
  Speaker 2: Right, and and the beauty about all of that type of technology, once again, ai, because it really is AI it's.
• 1:09:27
  Speaker 2: It's analyzing all the traffic systems, traffic patterns, and all of that.
• 1:09:30
  Speaker 2: It can communicate with other cars.
• 1:09:32
  Speaker 2: That's the other thing too.
• 1:09:34
  Speaker 2: It's called a to a auto to auto technology, which essentially cars are going to be able to communicate with other cars and it's going to be able to tell the other car in front of you like, or the car in front of it hey, you know, car in front of us just got into a rear end and that car is going to communicate with the ones to slow down.
• 1:09:53
  Speaker 2: Besides, sensors already kind of already doing that.
• 1:09:56
  Speaker 2: Or if you're merging onto traffic, it's going to say, hey, this car is merging, the car will slow down to let you in or speed up to get behind it.
• 1:10:04
  Speaker 2: So this auto to auto technology is going to be able to use a lot in basically 2.0, of like what ambulances do right.
• 1:10:11
  Speaker 2: Turning red lights into green lights or turning green lights into red lights on the opposite side because of sensors, right?
• 1:10:18
  Speaker 2: Well, it's not even going to be traffic lights, it's going to be autos to autos communicating where, like hey, that car's trying to go or you're trying to beat the ambulance for some reason you know, but it won't let you because the ambulance has already communicated with your car Like, yo like yeah, this is a lot, like you know, a life or death situation.
• 1:10:38
  Speaker 1: Someone's more important than you.
• 1:10:39
  Speaker 2: Correct, you know, at this moment, and so we're trying to get through right.
• 1:10:42
  Speaker 2: So that's where a lot of this type of stuff we're going to see in the next five to 10 years, where we're going to see, you know, not just Tesla being able to have this, but, you know, mercedes, bmw, kia, hyundai, honda, everybody's already.
• 1:10:56
  Speaker 2: There's no way any industry is going to let somebody just run away with some form of technology and not adopt it or adapt to be competitive, I mean correct, especially once again when you already see the upside of it you see the benefits of it when you see that this stuff is going to be transformational, not just and for me once again education and health those are my two things getting people for me, getting less people on the streets with the excuse of, well, I just didn't know.
• 1:11:31
  Speaker 2: Well, now it's at your fingertip and you can literally have a conversation with it.
• 1:11:35
  Speaker 2: And if you feel alone, you can literally have a conversation with AI that there's people that are developing that for mental health.
• 1:11:41
  Speaker 2: Right, like you don't want to talk to people, we'll talk to this AI because it sounds just like a regular human being and you can ask it whatever and it can help you with all this, all that.
• 1:11:50
  Speaker 2: There's literally medical industries that are dumping billions of dollars into this type of healthcare?
• 1:11:55
  Speaker 2: Why?
• 1:11:56
  Speaker 2: Because it's going to help all those individuals that are out on the streets homeless people, people that are killing themselves or killing others.
• 1:12:02
  Speaker 2: You know preventing that type of stuff Right.
• 1:12:05
  Speaker 2: And then you know health education systems.
• 1:12:08
  Speaker 2: You know being able to once again people that struggle later in life because they didn't have that tutor or that extra edge that other people do, once again, now you've got a tutor at your fingertips.
• 1:12:22
  Speaker 2: Anything and everything that you can overcome, troubleshooting, right.
• 1:12:25
  Speaker 2: Your kids, hey, if they can only learn to problem solve better.
• 1:12:30
  Speaker 2: Your kids, hey, if they can only learn to problem solve better well, what if they literally had their own problem?
• 1:12:35
  Speaker 2: solving device, device right To be able to ask quick questions.
• 1:12:38
  Speaker 2: Hey, for example, the Jersey thing.
• 1:12:40
  Speaker 2: Imagine, just imagine, like, like your, your, your, your son just being like it's like blank, whatever the name of his AI assistant is.
• 1:12:48
  Speaker 2: Um, I'm trying to look for my Jersey and I cannot remember where it's at.
• 1:12:53
  Speaker 2: Can you help me find it?
• 1:12:54
  Speaker 2: And it could literally be asking questions.
• 1:12:57
  Speaker 1: Last time you wore it was for your game on Tuesday, and I recall that you did come home directly after your game and put it in the laundry.
• 1:13:04
  Speaker 1: Your mom washed it for you.
• 1:13:06
  Speaker 1: It's folded and in your drawer.
• 1:13:08
  Speaker 2: And next thing, you know, yeah, drawer, or hey, it's maybe hanging in the laundry room because she air dried it and so it's like, oh dang, I didn't think to think that it would still be in the laundry room.
• 1:13:18
  Speaker 2: It goes there and there it's hanging right Like little things like that.
• 1:13:21
  Speaker 2: To where, and those types of things is reinforcement learning, where it's giving you suggestions, it's leading to discovery and ultimately, how do we as humans learn best?
• 1:13:34
  Speaker 2: Through discovery, through self-discovery, right and um.
• 1:13:38
  Speaker 2: But when you have somebody that's guiding you, you just kind of tend to be more productive and get things done faster.
• 1:13:43
  Speaker 2: But that discovery path is still there because, at the end of the day to answering your terminator thing right, it still can't go do things for you.
• 1:13:51
  Speaker 1: Sure, sure, it can, it can command.
• 1:13:53
  Speaker 1: The command prompt is a is a huge component.
• 1:13:55
  Speaker 1: That was something I was unaware of, so I'm I'm glad you, I'm glad you brought that up and broke that out Like that's super helpful.
• 1:14:01
  Speaker 2: There are robotics in the play right.
• 1:14:03
  Speaker 1: I mean we didn't even touch on like 3d printing and things like that.
• 1:14:06
  Speaker 1: I mean there's, there's, there's so much out there, yeah, but we for that we are decades away.
• 1:14:11
  Speaker 1: We are maybe a century away from literally full robotic autonomy yeah all that and everything fully sentient ai, and all that like we're a long, long time well, that's good man, because because in my book, in my business, we got to fix dry rot and kill bugs and I feel like those two things are actually on the.
• 1:14:28
  Speaker 1: They're low on the pecking order of things that AI is going to take out for us.
• 1:14:32
  Speaker 2: So, so gainfully employed, if anything you're going to be using AI tools that are going to allow you to show your like just point your camera at something and, without poking at it, it'd probably be able to detect and tell you like hey, you've got this and that.
• 1:14:46
  Speaker 1: Like like.
• 1:14:47
  Speaker 2: That's the beauty of what a lot of these tools and capabilities are going to be, about right.
• 1:14:51
  Speaker 2: It's going to make you be able to do your job faster, yeah, more efficient.
• 1:14:56
  Speaker 1: It all comes down to efficient.
• 1:14:57
  Speaker 1: You touched it, you killed it.
• 1:14:58
  Speaker 1: I mean time, yeah, time, free up my time, free up my hands, free up my time.
• 1:15:02
  Speaker 1: Make me more efficient, yeah, which?
• 1:15:04
  Speaker 2: does two things for business.
• 1:15:05
  Speaker 2: It allows you to be more efficient and productive, also allows you to get your job done faster and at the same time, it allows for you to go get more business because, since you just got through that inspection a whole lot faster now that means that you can go, which ultimately that's where big investors like that because, now profit margins are up.
• 1:15:24
  Speaker 2: Why?
• 1:15:24
  Speaker 2: Because productivity is up, and that's ultimately.
• 1:15:32
  Speaker 2: What we're seeing right now is a lot of money being invested by investors in big corporate companies that know that by using this type of technology, it's going to allow you to create stuff, get through stuff better, faster, be more efficient, and all of that Because, if you're generating more time, that means that there's more time for people to do more work, which makes more money.
• 1:15:49
  Speaker 2: So once along, so yeah.
• 1:15:51
  Speaker 1: Awesome man.
• 1:15:51
  Speaker 1: I love it.
• 1:15:52
  Speaker 1: Love it.
• 1:15:52
  Speaker 1: Dude, I know we're getting a little lengthy here and I value your time.
• 1:15:55
  Speaker 1: I respect your time.
• 1:15:56
  Speaker 1: This has been so awesome.
• 1:15:57
  Speaker 1: I mean you're like I gotta come and talk to this freaking meathead about, about ai and I don't know, but we asked this question.
• 1:16:04
  Speaker 1: I mean we're gonna skip one and we're just gonna jump straight to it.
• 1:16:07
  Speaker 1: We ask every guest who comes on this podcast if, if you could be somebody for a day, dead or alive, who would it be and why let her rip?
• 1:16:15
  Speaker 2: Oh man, this is a interesting one.
• 1:16:17
  Speaker 2: Uh, it would have to be Bob Iger.
• 1:16:21
  Speaker 2: Bob Iger, the CEO of Disney.
• 1:16:23
  Speaker 2: Okay, Uh the reason why is because I'm once again hospitality things, that I'm doing that really cool projection mapping, all that.
• 1:16:30
  Speaker 2: He's the CEO of Disney, which that means he is the boss of Walt Disney Imagineering and, if there's any, whether you like them or not, no one does hospitality, no conspiracy theorists no, disney conspiracy theorists Like come on, let's be on board with Disney being good.
• 1:16:46
  Speaker 2: Yeah well, disney Imagineering the Disney Imagineers are the number one in hospitality creation, the immersive experiences and all of that.
• 1:16:55
  Speaker 2: And if I can be him for a day, I get to go and play and see all the really cool things behind the scenes, all the inventions, all the patents that you know Disney has.
• 1:17:06
  Speaker 2: Um, when it comes to really creating some really awesome immersive things Cause I mean, dude, like they call them Disney adults for a reason because, like, you can literally go to Disneyland and go have some fun and literally it's the one place that you can just immerse yourself and let go of all of the chaos that you go through every day and just go have fun, whether with your kids or as an adult.
• 1:17:29
  Speaker 2: I mean, if you've been to Galaxy's Edge and you're a Star Wars fan, it's just super fun.
• 1:17:34
  Speaker 2: So for me, if I could be anybody for a day, I'd be him, just because I'd be in proximity of some of the greatest minds in the world.
• 1:17:40
  Speaker 1: Love it, love it, love it.
• 1:17:42
  Speaker 1: Our military engineering.
• 1:17:45
  Speaker 1: Extrovert also has a mind for the creative.
• 1:17:49
  Speaker 1: Thank you so much for your time, brother.
• 1:17:51
  Speaker 1: I extrovert also has a mind for the creative.
• 1:17:52
  Speaker 1: Thank you so much for your time, brother.
• 1:17:53
  Speaker 1: I really appreciate you coming down and chopping it up with the with me.
• 1:17:55
  Speaker 1: Uh, Blake, really missed out today, man, Cause we had we had a blast dude.
• 1:17:59
  Speaker 2: So thanks again, brother, thank you.