Intelligent Investing #75 Glenn Leest, The Basics of Artificial Intelligence

 In this episode, join Glenn Leest as we delve into the fascinating and rapidly evolving landscape of Artificial Intelligence (AI) across various industries.  We discuss the basic functions of AI as well as the positive and negative implications. We also discuss the importance of responsible AI development.  This episode isn't just for tech aficionados or finance professionals; it's a conversation for everyone intrigued by the ever-widening reach of AI across industries.  

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Transcript

I'll move the, I'll move the chainsaw, right? I mean, it's, uh, I think you got your cough button suppressed there. Automation or maybe I didn't fade you up. Automation may be taken over. I bought a chainsaw, but maybe a robot will just be cutting it for me. I don't know. Maybe you think we'll get to that point.

Um, still need me. I hope so. It, it does beg the question of where we fit in if everything gets, uh, automated and we get replaced by machines and computers. And what do we do? I mean, uh, you, one of my favorite cartoons or cartoons, movie, animated movies, do you call them now? I call them all cartoons if they are not real people.

It's Wally. Yeah. Remember that? And they're like all like, everybody's like 600 pounds at that point and they must take chairs, floating around them and they're drinking. Everything is, um, buy in bulk. Right. Yeah. And it's like, everything's automated. So, they don't. I don't know. That's probably not a good outcome either.

You would think automation would free us up for our creative potential. You know, like, like, like you think, like the Star Trek kind of myth, like, oh, we don't have money anymore or anything because we just all pursue our dreams and everything works out in the, in, in that state. I don't know though. I mean, it could be the greatest thing since sliced bread.

I don't know. Maybe. Yeah. So artificial intelligence is an area that, um, is becoming more and more on the forefront of investors’ minds of how do we invest in AI? What are the pros? What are the cons? Um, what are the applications even? You know what? How's it being used today where it might be used moving forward?

And so, it's a very interesting area. Um, if you haven't already checked out chat GTP or are borne. There are a couple other ones that are now coming out there. Those are like language models, a eye. And those are kind of interesting because you can ask questions. It's a lot like Google, but If Google was a person, you can ask the questions to it like talking to the computer in Star Trek or the HAL 9000 or whatever 2001 very similar.

Yeah. And so the computer tell me what the whatever, whatever is tell me Rob Wilson did something like that for me. He says, hey, tell, tell me what the Jeff orbit show is. And it spout out a bunch of paragraphs. Yep. Yeah. Pretty accurate. And so that's kind of the infancy of where it's at. Right now for a lot of us as consumers know it because those are free services we can use and, um, anything from, we're going to, I want to create a diet and a meal plan and, you know, based off of the recipes, make a shopping list for me, you know, put it together, you know, do some research, some preliminary things, um, it can be very useful in that aspect.

Um, one thing we, we see it being used right now. Um, because it is such a good researching tool is people are using it in the academic, uh, world to straight up, just write papers for them, you know, instead of it just being a research tool, Isabelle's told me about this. She said there's a lot of cheating going on and that the professors must like to check it through.

They get, they can catch you though. Still. Yeah. It's, it becomes harder and harder because the technology is always going to be one step ahead, but I guess cheating is what is to find what is cheating even mean? Because back in the day, if you use a calculator, it was considered cheating. But now we all use calculators.

Um, and so that it does beg the question of how that plays in education moving forward. Okay. So, you're saying, yeah, are we focusing more on menial tasks and just repetition, or are we focusing on critical thinking? Um, because if all you want to do is have someone create a research paper, um, and just put facts and data in there, well, maybe using a chat GTP or Baird is helpful to get some of the preliminary stuff out of the way and then.

You have the student, or the individual really focused their time on the critical thinking portion of it. Okay. I asked chat GBT to, uh, we were talking the other day about the French revolution. Give me what happened at the French revolution. Give me some sources about what happened with Mary Antoinette, and you know, King Louie that whatever he was, was a 14th.

I think it was, and what did that lead to? And then they shoot you out all kinds of information. Then you start parsing through that. So rather than you are doing a Google search or whatever, you're parsing through all that information and then putting, you're writing the paper. But I think some people just have to write the paper though, and I think that's where you get into the.

It's not you. It's not creative. Yo. Yeah. Yeah, absolutely. And so that, that does beg the question of how do they look at that is, is that considered cheating? If you had an AI created, just like if you had an AI create an image made from nothing of a celebrity or character is technically not copyright because it's, its own generated image.

And so, I think those are questions that we're going to have to answer, um, because technology is progressing so fast. Um, and like you're saying, if you do have. A student that uses it just to produce the entire term paper and the teacher or the professor may not be able to tell that it was a, an AI or a chat bot that produced it versus the student.

And it becomes very difficult. Probably will get harder and harder. Yeah. It's kind of like when you're dealing with, and I'm not equating this, but criminals, you know, we're always fighting crime and then they're always, or you're dealing with drugs coming in and then, you know, they start off where they are just.

They carry things in the next thing, you know, a few generations later, they have like submarines, you know, they're always one step ahead of getting more sophisticated. So that's probably an application where a lot of people have seen it. Now. Um, another one that people may have seen AI used for is, um, like customer service communication.

If you've ever logged into a chat with us now for customer service help, you'll wait, wait, wait, wait. That's not real. There's they show me a picture of a person and her name is like Sue or something. A lot of times what they'll do is they'll use that. The AI for all the basic, you know, questions like, what is my bill?

When is, you know, how much do I owe? How do I do this? All your basic FAQ questions and you can ask it, but if for some reason they can't answer to your, your liking, it will transfer you to a human. So instead of needing five humans to, uh, facilitate that customer service, now you only need two or three because AI was able to.

Do some of the more menial and grunt works things for, you know, that type of application. So that may be another one where people have seen AI. Um, some other applications are, um, even in, um, your, you’re purchasing and your online commerce, um, the AI. We'll, we'll kind of see your shopping habits and see what you're doing.

Cause everything that you do on the internet, unfortunately, is tracked to some level. And it's very hard to, you know, uncouple that. So, they, they get kind of a picture of what Glenn is and what he likes to buy. And then using the AI, they, the recommendations are usually good. Um, it's like minority report, man, you know, when he walks into the mall, it's like, hi, hi Glenn.

Yeah. Yeah. There's a special on boxers, you know, you know, it's like it scans your eye and size 48 ways. So what? All right. Yeah. Yeah. Um, let me ask you that. Let me step in. Glenn is artificial intelligence. It's not like you're an engineer and you're creating, it's your, your, your investment guy, but it's a huge part of investments going forward.

What is it? Because when I think about this, Glenn, I think of. Is it just some computer? It's in your computer and it's or it's in the cloud somewhere. Or is it in the cloud? And it's just like it's thinking there or on the other extreme. I'm thinking like it's Terminator and become self-aware. I mean, what is it?

Where is it? Do you want the textbook definition? Go ahead. Yeah, it was. This is from a I Did you get this from AI to produce AI research? So artificial intelligence is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously.

So, reason, learn and act autonomously on their own. You know, that's their program. Yep. You have machine learning where it, um, the, a good example of is in the manufacturing industry where machine learning, you show it, uh, a bunch of pictures of how the product should look at the end of the assembly line.

And so, for quality control, so you showed enough times of what it does look like. It will know when things are right. Just like if you want to know, how do you, how do you find out whether money is counterfeit or not? As you studied the real thing, you know, the real dollar bill so well that when you see something that's a counterfeit, um, you don't have to study the counterfeits, you study the real thing.

And so, machine learning is a lot like that, where it learns a lot about what the, the product of the real thing should look like. So that way when things. Don't look that way. It immediately identifies and goes, okay, that's not how it should look. Send it back to the, the, you know, the rest of the process.

And so that's machine learning. It also teaches more about our behaviors too. So, I will talk about science fiction technology. It can be very predictive, you know, if it learns enough about, you know, human behavior. Or different events or even weather patterns. They can start to predict, you know, based off all these patterns.

Here's what may happen with a 90 percent probability of being correct. Yeah, it's a good thing. And, and I mean, looking at the positive benefits, the positive aspects of this, I just read something somewhere that some AI in some medical facility was able to detect certain cancers. Much faster, much quicker than the doctor that's been doing it for a long time.

I don't, I don't have all the details on that, but I think that predictive learning and looking at things that's able to compute so much faster than you. So that's a benefit there. We'll get into the negatives here in a second, but what other benefits do you see? So I'm glad you touched on the medical because that's a big one where you can go in and say you go to the emergency room and you present with XYZ symptoms and the AI as you plug it into the computer or in measures it can say, okay, within a 95 percent chance probability because we've seen 100, 000 other people of, you know, um, Same age, same whatever, you know, it can say, okay, here's what we think is going to happen.

So, it can start to detect things that, you know, are, are maybe that we may not be able to detect as fast as humans. Um, you know, so that's a positive thing. One of the weird ones is that, um, with human behavior is there's a story of a guy who his, uh, he has a teenage daughter, like 15 or 16 years old, all of a sudden start getting, um, pregnant.

Magazines in the mail and like the pregnancy products and the dad is furious. And so, he calls up the company's like, what the heck, why are you sending this to my daughter? And they're like, um, based off the search engine, you know, the, her, her, what she's looking at on the internet, the, the software determined that there is a 97 percent chance probability that she's pregnant.

What? No way. It took a pregnancy test and the daughter's pregnancy. No. So he didn't get, he didn't get the 3%. Yeah. So, I mean, that's just like an example and don't quote me on the actual numbers. You're saying a benefit that's negative right there but go ahead. So, you're talking about machine learning. So, the medical field, um, some other positives, um, for machine learning, um, obviously weather patterns, you know, that could be helpful.

Um, predicting, you know when we've seen X, Y, Z happen. These are, um, you know, indicators of a tornado happening or even in the financial markets when these, um, variables happen in this order, it's been, you know, nine times out of 10 before this has happened. So, it can kind of help us predict now.

Nothing's going to be perfect. Nothing can know the future, right? But it can be helpful in predicting, or at least. You know, raising the alarm flights, even think of like natural, you know, um, you know, disasters. If they're able to predict, you know, within a certain probability with AI machine learning, hey, there's a potential tsunami that's going to happen.

They can then, you know, distribute out the information to the right people, to the right people saying, Hey, there's a high risk. Not to say that it's going to happen a hundred percent, but maybe it'll say, Reproductive 87 percent chance, just like when you drive past the, uh, on the forest, you know, forest fire sign probability of, you know, fire.

Yeah. It's not saying the fire is going to happen, but it's saying all the elements are in place. So, the risk is higher. Yeah. That's a good thing. Yeah. So those are the good things. Um, yeah. And I think Tornadoes, for example, is one that people have been battling forever. And it's like, they never have any warning.

And a lot of times it just seems to happen at night, you know, and, and there you have sometimes from what I hear minutes where the horn goes off or whatever, if you even get that. And that's where a lot of these deaths happen. You can't get to the storm shelter. So that may be good. And I think that let's get into some of the benefits.

Um, and we'd love to hear from you. Talk with Jeff at iCloud. com. That's talk with Jeff at iCloud. com. Discover how business can be the vehicle for a better future with an executive MBA from Brown University and IE Business School. This 15-month program that combines online work with three residencies in Providence, Madrid, and Cape Town will equip you with the skills to better serve your people, your organization, and the planet.

Start in March. Learn more professionally. brown. Edu. And I'm here with, uh, Glenn Leest with WT wealth management. Uh, we're talking artificial intelligence, which is, I think can have a lot of great benefits, but then I also get concerns because I've watched too much science fiction, but then science fiction oftentimes comes, comes true.

How many movies have we watched? And we're like, no, not all of them. I mean, there's a doc. It's like, I don't want Terminator one, two, or three. Those are all pretty good. Terminator two, I think, was one of the better ones. I don't want that too, what's your favorite Terminator? Do you have one? I like judgment day.

Number two, number two. That was excellent. I think it was good. There was kind of the same type of thing, but I don't want that to come true where they become self-aware that gets uploaded to. Doesn't China, isn't their system called Skynet or something, isn't it? I’m don’t not hold me to that, but I think their system is actually called Skynet, which is actually more of a documentary is ideocracy.

Um, I have that bookmarked on like Hulu or something to watch again. That movie is so funny. Where is that going to come true? That has come true. Some aspects of it. The guy goes to sleep and wakes up and he's not, he's like a stoner, not a very smart dude, but he becomes like the smartest dude because everybody's so stupid.

Yeah, we're getting close. I mean, look what's going on. No, but the negative side of this, and I think the negative side is. Let me get your take, but let me give you my, my spiel here first. I think the fact that people might become unmotivated, lazy, call it whatever, not, you know, they're not doing the tasks anymore.

There are so many things like, um, I robot where they have the person, the maid and all that, the cook, the, you know, there's the robot there. Does that free you up to do more things? I don't know. Just be lazier. Yeah, it could free you up. And you know, uh, what about idle hands, you know, the devil's playing.

Yeah, yeah. So, suddenly, it's like, might as well get stoned all the time. Might as well do more drugs. Uh, you know, let's experiment with this, right? I'm just saying that this could be the negative side is you don't have. That motivation to be productive. That's number one. Number two is on the military side.

And we're seeing, I've watched documentaries on how good this stuff is. I mean, fighter pilots are going to become a thing of the past. I think, uh, AI in the battlefields, things like that. But what if it decides that you're at a risk, like a terminator situation? Give me the negatives that you're seeing though.

I'm not being too farfetched. No, no. I think those are perfectly valid. Um, criticisms and, and with any new technology, I think as a society, we always must look at and say, how are we going to interact? That’s why I like sci fi it's, it's all the potential technologies and how we may or may not interact the good and the bad along with it.

Okay. And so, I robot touches on that where, you know, the Will Smith's character, um, is gets in a car accident and he's underwater and with another car and the robot goes and saves him because he's got a higher percentage. chance of surviving than the little girl, but no human would have ever made that decision.

They would say, no, get the little girl instead of mad about that. You save the girl no matter what the odds are. The little kid. Exactly. So that's, that's a, an area of concern. And how does that play out in the medical industry too, where maybe in some. countries are worse than this and others.

America, you can spend as much money as you want, and they'll spend, you know, all the time and energy to save one person, which is fantastic, no matter what the cost. Whereas other countries that socialized medicine, they may say, Hey, you're X number of years old. We're not going to give you a heart translation because your survival is Odds are only 40 percent and we're not going to do that.

So, Canada might be an example where they're like, hey, you're, we're not going to pay for your cancer treatment because it's too expensive and you're already, the odds are not very good. So that could be a a negative thing about the, you know, the analytics or the AI kind of making those judgment calls where a human would never.

You know, fall into that fallacy. They'd say, no, you know, we're not going to let that be an issue. So yeah, the AI is making those decisions. What does it learn though? And, and become more human. Like we're adapting like that. Um, does it become human? Like though, and we get into science fiction movies where it's suddenly, they get rights, you know what I'm saying?

Where suddenly somebody is like, oh, my robot is self-aware. We've seen that in science fiction too. Yeah, that's, that's a little bit, uh, alarming. Um, there was that one movie with, um, it's called Artificial Intelligence where the robot's a little boy, right? Yeah. And it's got its own feelings. A couple of iterations on that, a couple of Star Trek episodes on that very subject back in the eighties even, you know, so you hit on another one about the negative implications of us.

Everything being so easy and automated were some of those more menial tasks, which is both a good and a bad thing. Because if AI comes about and can replace, you know, say 20 percent of the jobs, because those jobs are entry level there, you know, can be automated. A computer can do it better than a human and save money for the corporation.

You know, I can understand why companies would do that. Now, whether that's good for humanity or society at large is a whole different story. So, yeah, if life becomes too easy and there's no challenges, um, you know, I've heard the phrase, you know, good times make weak men, right? Where if things are too good, we, we lose that grit, that, that perseverance that, hey, I've got perspective of things, you know, can be a lot harder and, you know, rise in the challenge of overcoming.

Whereas, yeah, if everything's just provided for you and you've got robot cleaning and, and you don't have any. Drive, you know, does that individual, you know, use that in a good fashion? Or has it become a negative thing where they're now, you know, being mischievous and, and, and not doing good for society.

Mm-hmm. So those are all questions that I think are, are valid. We're going to find out. We're going to find out, I guess, and hard times make great men or something like that. Yeah. Strong men, I think. Yeah. Strong men. Yeah. We pull that quote, but. I think the thing is, Glenn, I don't know if there's a lot of forethought on this or looking ahead.

I know there's some people putting Elon Musk has put up flags on this stuff and he's very, he's very heavily involved in AI, right? Obviously. Um, but I think the answer is we're going to find out and that could go either way. So, um, but in the meantime, um, you're, you've been talking a lot about how in the investing world.

Um, this is a big thing. And I mean, I guess, what, what are you looking at when it comes to, to that? And my disclaimer always, and I put it in the podcast now in a little real small font and no financial advice here, seek, seek, seek people and Glenn's one of those people. So anyway, what do you see? Yeah. So some of the big players that were already invested in are going to be like your Microsoft and your Google who are large AI players, but even above and beyond that, we've gotten exposure into AI and robotics.

sector that, you know, gets a broad exposure of a lot of different areas. Obviously, all the AI that we just talked about, whether it be in finance or commerce or weather, whatever it may be. And then also the robotic side of things too, of how can they couple AI machine learning with robotics for maybe manufacturing or for healthcare.

Um, think about if you could have a robotic, you know, um, surgeon, you know, that can make a cut even more precise and not have any issues. Um, and you have less scarring, but you still have a human involved in the process, but they use a machine to make the cut. Um, heck yeah. I, you know, I'm all for that. So, um, there's a lot of areas that we're exploring and looking into cause I, because I personally see this as a.

A huge opportunity. Now, obviously there's all the issues behind it of how we deal with it as a society, but from an investment perspective, it's robotics and AI is the next big thing. And there's a whole lot of other offshoots we can go into as far as the neural link, you know, because that plays into, that's the.

Elon Musk, uh, brainchild, um, which is a very interesting, uh, subcategory of AI and robotics. Is that the matrix? Pretty, pretty darn close. Well, it's, it gets very strange when you start talking about the, um, will people eventually ask the question of, do I hook up to it or am I downloading my brain to this thing?

And that can do a lot of moral. Uh, implications and you know, your soul and what, you know, I don't know if that's going to transfer. And, and is it really you? Because, uh, again, back to science fiction, when they make the clone and they, they’re reduce them, what was that? There was a movie with Arnold Schwarzenegger, six-day, six days.

And it was like, is that really the same person, or did they? Back up the hard drive. Shall we speak the brain? And they inserted that in there. And it's like, it's just the memories of that person. Where's the soul? We might be answering those questions quicker than we realize in a matter of years or decades.

I don't know. This stuff's moving quickly. So, so one of the areas that you touched on that I think is a positive area is, is specifically the, the neuro link where Um, they basically connect the, um, a computer type, you know, device to the person's brain. And you can then have the neural link be able to go along the spinal column.

And then I know just enough about the, the, the technology talk about it, but I'm sure I'm missing some of them. You know, the, the finer details, but say someone that has a spinal cord injury and right at, you know, a certain part of their spinal column that, you know, the spinal cord has been injured, you know, and so below that point they no longer have use of their limbs while the neural link can then patch that gap, um, via Bluetooth and wireless technology to basically restore function of the spinal cord.

So. You can have individuals with the neural link and there's a clip-on YouTube. Look it up. Neural link man that walks that hasn't walked for 10 years. He had a spinal cord injury. Yeah, yeah. He's insolvent. No, this is a positive thing. Here's the positive. Yeah. So, the guy's walking and obviously his legs are atrophied cause he's been in a wheelchair for 10 years, but he was like an Olympic athlete, you know, and now he.

You know, with the neural link, he’s regained the function of his legs. So, he's out of the wheelchair walking around where he'd been paralyzed for the last 10 years. So that's a positive area of it. Now here's the flip side to it. The neural link is a link, right? So, the. It has the ability to receive information, so you can, in theory, beam over information into it, um, even just Bluetooth, like you would send it to, you know, hack it, or you can send in instructions and say, here's the, the neural pathways that it takes to kick a soccer ball, you know, send them, you know, the signals down to the leg to contract the muscle to move this, and so they can, you know, map that out and then, upload to other people.

So, say maybe someone's never had use of their legs. Well, you must learn how to walk and that's all stuff that our brain and our, our bodies remember. So, if you can upload it, then your question about, is this a matrix? Can you, in theory, upload Kung Fu, just like Keanu Reeves. He's like Hey, I now know Kung Fu because they have the computer program of what it takes.

So maybe they find the Kung Fu master and have them practice a bunch of moves and then on the neural link record it so they can now upload to someone else. So, this is all technology that is. Like here and I saw them do a clip. If you look at the neural link where they did that to a pig and saw the neural link and then the guy had a controller on his hand and each part of his hand controlled a different limb of the pig.

And so, what the guy was doing, he started moving his hand and the pig's leg started like going crazy because it was sending signals to each leg. One of the legs was moving and the other one had a like, was like. kicking the other one. I'd like, I was like, yeah, the pig was not controlling it. The human was controlling it with a device all wirelessly.

And so that is a, a very interesting. So now where those applications, well, you could have a wartime gorilla, like, you know, just, you know, put the neural link in, send the gorilla out in the battlefield and you can control it remotely. And you would never know as a human universal soldier. Yeah. There's another John Claw, right?

So, you're out there, you're like, oh, look, it's a little puppy and a little. You know, the puppy is your throat out and nausea or has, you know, spy device on it or they put explosives on it. So, there's all this whole realm of. You know, opportunities or potential negative issues with negative issues.

And so, these are all areas that, you know, my mind likes sci fi stuff, and I don't want to, you know, scare people, but it is interesting. There are some opportunities. This is amazing because I mean, the guy walking who couldn't walk is, that's like amazing. I want that to happen, and he's connected to that, but.

You get into suddenly somebody implants those devices intentionally, let's say athletics. Yeah. I mean, we've, how long have we spent, remember the whole Russian Olympic team had to get ousted because of doping, right? So, we've spent years, yeah. And doping because they had an unfair advantage. So, all of a sudden, you're an athlete and you don't get the chip in there or the nanobots or whatever the heck it is you're even talking about, you're not going to be able to compete.

There's almost like. Like, uh, two different, two different, almost like two different, um, species here that you could get into. Yeah. So, let's play out a scenario. You, you find Serena Williams and you get her to upload her, her movements as far as tennis, and then all the other tennis players that have enough money can buy it and then.

Have that, uh, advantage. Yeah. Programming. Yeah. Just that neuro, uh, programming. So these are all areas that are very interesting. Um, and from the investment realm, um, you know, we're looking at, um, you know, how do we, how do we stay ahead of, how are we looking forward? Because my job as an investment advisor isn't to look at the technology of yesterday to look.

forward to the technology of tomorrow because that's where a lot of growth and opportunity comes. Now, there's certain things that as an investment advisor, I just don't want anything to do with that. Our moral issues that I'm like, Nope, you know, not even going to touch it with a 10-foot pole, you know, tobacco, chemical warfare, uh, gambling, adult industry, you know, areas, industries that are, you know, that I think all of us could agree on that no matter how profitable they are.

We just don't want to touch it. Don't want to touch them. But yeah. AI is another one where there's a lot of good, uh, you know, to it, but there's also some, you know, downsides and you talk about the, um, you know, some of the downsides of AI. Um, you know, when you call into those, um, customer service or those places and it says your voice is now your footprint or your voice is your password.

Well, that's going to become a thing of the past because, um, I even have software on my computer that, um, I have enough of my voice uploaded from my podcast that I can type something out in a Microsoft Word document, cut and paste it, and it will say it in my voice, in my inflection, my tone, and you would have a hard time knowing that it wasn't why am I here?

We could have preprogrammed all this. We could have preprogrammed all this. It's just two empty chairs with AI talking about all this. In our voices, right? Oh man. That becomes an issue because moving forward. The AI opens the door of that voice coupled with image coupled with video and facial recognition is what we're seeing true.

You know, if you're, if you're not seeing it in person and you're seeing it on a computer or on a TV, how do we know that's the actual person and not a computer generated? Whatever. Do I have to patent me? Do I have to, do I have to do that? Yeah. A trademark on that. We've all seen the deep fakes of celebrities and people that.

I mean, even like Snapchat, you can download these, you know, software that, you know, turn your face, and make you, you know, older, make you have a different voice or look like a celebrity. So, it's like this technology is here. And so, I think that's going to be an issue because how do you say you're a public figure or even a politician and the people that don't like you start creating, you know, false Oh yeah.

False things that you've said or false images or false videos. And it always leads to porn. I'm serious. You know, that's what they do is I'll put a video on you, right? And you're like, wow, I didn't know Joe Biden was dancing on the moon. You're like, that's not him. That was computer generated. You went in a different direction.

It does though. A lot of times, at least those, those types of things. And they, too, to, to negative, put you in the most negative light and put you in the most vulnerable positions. Let’s sum it up. This is still the wild west. Yeah. I mean, this reminds me of, and probably even to the 10th degree here of, um, the dot com era where all that was coming out and you don't even know what to parse out yet, because this stuff's going to, we're going to be somewhere in 10 years that I don't even know if we can imagine at this point, it's going to be, it can be, it may be really amazing or not.

So, like 15 years ago, I. I had this like thought, like one day my grandkids are going to have, you know, these robots, I clean their room and they're going to be so lazy that they don't even press the button to turn the robot on. And I'm going to be sitting there as a grandpa, like you kids, you know, one day when I was a kid, I had to clean my room and had to press the button.

You kids don't even have to do that. And so like, that was like, so farfetched 15 years ago, but is it farfetched another 15, 20 years from now? Maybe not. Maybe not. We shall see. We shall see. All right, Glen, I always appreciate it. Um, I'll save this one and ask AI 10 years from now was Glen, right where we write.

Oh, it's fun to ask AI moral questions. Yeah. Ask it questions that you know, I haven't done it yet. I guess I got to go. Sign up for chat. Jeep is a chat. GBT. Is that what it's like? And I'm Baird. Yeah, I'll ask it. So, give me a question. I'll ask it on the next segment, and we'll just ask it on air. And yeah, next time you come in, let's do that.

All right, Glenn, always appreciate it. Um, look forward to having you back on an amazing topic. Thanks for watching this video. Thank you to everyone listening to the podcast as well. Do me a favor right now, please subscribe. I appreciate everybody that's doing it. Subscribe, subscribe, subscribe, and share with your friends.

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