September 17, 2024 • 48 mins
In this episode of Our Life Beyond, Connie and Scott dive into the transformative power of Artificial Intelligence (AI) and how it’s already woven into our daily lives. For many, AI feels like a distant, futuristic concept or a technology that threatens job security. But the reality is, AI is already part of everything we do—from Netflix recommendations to autocorrect on our smartphones, and it’s shaping the way we live, work, and interact with the world.
Scott, with his extensive background in the tech industry, and Connie, who’s learning the ropes of AI, offer two unique perspectives on how AI can enhance our personal and professional lives. They break down the three stages of AI—Narrow AI, General AI, and Superintelligent AI—and explain how each impacts our present and future. Whether you’re tech-savvy or feeling technologically challenged, this episode provides insights on how you can leverage AI to make your life easier, not harder.
As we navigate the future, it’s essential to embrace AI not with fear, but with understanding. Tune in to learn how you’re already using AI, the misconceptions surrounding it, and how it can empower you to stay ahead of the curve. Plus, we explore how AI will continue to evolve and what it means for individuals, businesses, and society.
Listen now and join the conversation on how we can transition through the AI revolution together.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
Well, hello, hello, hello.
(00:09):
Welcome to our Life Beyond the podcast where we explore how to navigate and hopefully thrive
through some of life's biggest transitions.
I'm your co-host Scott Dibben and I've teamed up with my great friend and mentor, Connie
King to share some stories, strategies and insights that helped us adapt to the ever-changing
seasons of our life.
(00:30):
Whether your life transition is divorce, death of a loved one, switching careers, moving
to a new city or just trying to figure out what the hell is next, we're with you every
step of the way.
But always remember, we're not therapists, just fellow travelers with a knack for finding
humor in the chaos and maybe some untraditional method of overcoming what life dishes out
(00:51):
to us.
Hopefully you'll have fun embarking on this journey.
So now let's get started.
I want to give a special thank you to Habit Coffee for sponsoring us.
So if you're local to Springfield, you're probably aware of the miserable construction
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(01:14):
Yeah, right in the midst of all that progress is the Habit Coffee Company, a fantastic local
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They're more than just a coffee shop, they serve delicious scratch-made breakfast and
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(01:37):
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Support the Habit Coffee Company and enjoy their incredible offerings today.
Thank you so much, Habit Coffee.
Hey everyone, welcome back to Our Life Beyond.
Today we're diving into something that's impacting all of our lives, whether we realize
it or not, artificial intelligence or AI.
(02:00):
Now I know many of you might hear AI and immediately think of robots taking over jobs or futuristic
movies where machines run the world.
But today, Scott and I are here to clear things up, show you how AI is already part of your
everyday life, and talk about how it can actually make things better for us.
Awesome.
Thank you, Connie.
(02:20):
So I'll throw my two cents in in the beginning here.
I've lived in the AI world because I am in the tech sector, as most of you probably know,
for the past 13 years.
I just came away from a conference that was three days on AI internally where I work today.
We're trying to focus on how we can ethically use AI and going forward.
(02:43):
So this is just kind of my everyday thinking and knowing that that's the direction the
world's going.
And you know, I know, and I think Connie does too, because we just talked about this yesterday,
most of the people don't fully understand AI.
And it is, it's that fear of job loss.
And I think we need to stop that in the beginning here because it has nothing to do with job
(03:03):
loss.
But we need to figure out, you know, where people can use it, if they should use it,
and hopefully give you some advice on that.
So really, the goal is, you know, let's see how AI, we're going to show you how it's already
part of your daily life and how it can make things better going forward.
Yeah, I also think something really important to think about is, you know, we wanted a podcast
(03:26):
that helps people transition.
And guess what, whether you like it or not, AI is going to be part of your life, and you're
going to need to learn how to transition.
And I think you and I talking about it is good because you are experienced, and I am
probably one of the most technologically challenged humans ever.
And even I have started using it.
(03:47):
Very basic, but it has made a world of difference in my life, my business, and I have actually
loved it.
So I think having the two opinions or the two different, we're both in different places.
You're very advanced on it.
I'm very much a beginner.
(04:07):
And I hope that we can just show people you can use it to your advantage.
Yeah, that's perfect.
And we sort of built an outline because we want to make sure we get through what we believe
we need to, to inform people, to help people understand it and see what's next.
So we probably have a little more structure to this podcast or this episode than we have
(04:28):
in the past.
So let's start off with what is AI?
What is it really?
AI, as we both know, it's artificial intelligence.
Go ahead.
Sorry.
No, go ahead.
I was just going to say, so a lot of this, you will be heading up.
I get to put my two cents in, but you're really good at explaining in simple terms what it
(04:50):
is and you break it down.
So I think you'll be talking through most of this.
No, what's great about this, Connie, you have been in AI for a few months now because I
kind of introduced it to you and you.
It's amazing because I've watched me just, I literally just said, go to this website,
do this and this and weeks later you're like, look what I'm doing now.
(05:11):
Look what I'm doing now.
So you don't have to be this advanced tech person to do any of this.
Actually you probably, it's the opposite.
If you are an advanced tech guy, you can make it far too complicated.
So and you and I have talked about, so I have a saying that I am motivated by laziness.
And what I mean by that is that I will do the hard things so I can be a little bit lazy
(05:36):
on the backend.
So I, you know, I work my butt off on the front end to, you know, enjoy the fruits of
my labor on the backend.
And AI has allowed that for me.
It has allowed me to put in some of the work and yet it allows me to be a little bit lazy,
but get this great, well, for me it's always been writing.
(05:59):
Yeah, me too.
Yeah, I loved it.
You know, when I was at the conference, the AI conference I was at just a few months back,
there was an individual that was heading up a tech company and of course they had panels
of people in front of us and everybody's talking about how AI has changed their life.
And for him what it was, as a tech company, as a person that's trying to give out information,
(06:19):
you cannot write enough blogs to be honest because blogs create SEO, which is search
engine optimization that drags people to your website.
It's a lot of stuff.
So he said the problem was he, him himself, he said, I'm not a writer.
I am a tech guy that completely understands it, knows what people need, but I don't know
how to formulate it.
(06:39):
So he went from writing one blog a week to being able to write three blogs a day to give
to his people to advertise.
And it wasn't, it didn't change his life as far as it made me smarter or no, what it did
is it took the admin section away that he hated and it let him do what he was really
good at, which was to tell what's the subject, where do you want to research?
(07:03):
What do I need you to get?
And then build this out for me.
And then he critiqued it from there.
Absolutely.
And think about from a business perspective, what that could do if you're using AI and
your competition is not, which I know we will get to talking about also, but that can put
you ahead of your competition and make your job easier all at the same time.
(07:25):
Yeah, absolutely.
I want to talk first.
I want to give just a really brief understanding of AI when I say AI, the three stages of AI
and where we're at today and where we see it going in the future.
This will be super quick.
It's not too techie.
So don't worry about that.
But there's three levels or stages to AI.
There is narrow AI, which is where we're at today.
(07:46):
And what you'll see if you haven't, if you're big into acronyms, it will be A-N-I it's artificial
narrow intelligence.
That's where we're at today.
And what narrow AI does, we give a specific task.
You can even use voices sometimes, but we give it specific task.
And from that, it will give you specific results.
You can tell it to research something.
You can tell it to give me ideas, but it's only on that task.
(08:11):
It doesn't have the conversational aspects that a human would have.
That's where we are today.
So when I push the little microphone on my remote and I say, find such and such a movie
on Netflix, that's AI?
Yeah.
Oh, okay.
All right.
Let's talk about the second one.
And the second one is called general AI.
(08:33):
And all the experts were thinking that it's really would be released about 2030, but they're
actually pulling that back saying it could be 2026, 2027.
So let's talk about what arrow AI is, or general AI, sorry.
And the acronym for that would be A-G-I.
It's artificial general intelligence.
(08:55):
It has more of a theoretical approach.
It is more human-like.
It's able to do human-like things.
Imagine if you could set and have a conversation with your computer and say, you know what?
Today I've got to do this.
I've got to do this.
What can you help me with?
And it would be your assistant.
It would help do functions and stuff for you without having you direct every or spoon feed
(09:19):
it or every task.
It could do things for you.
It acts like a human.
It is more interactive, but that's as far as it goes.
And it really would be almost at an assistant level.
So we're not there today, but I can tell you even through some of the forums that I'm looking,
it looks like they're getting ready to release some stuff that's going to get close to that.
So Connie, does general AI make sense?
(09:41):
So give me an example of how that would work in business standpoint.
That's how I kind of perceive things.
Yeah.
So right now I can give A&I a task.
I mean, I can say, you know, proofread this paper.
Absolutely.
So how is it different than AGI?
So okay, AGI.
(10:02):
So I know Connie, you're big into the real estate world.
So let's go down that path.
This may make sense.
So what if you've got an AI agent that you pull up and we'll talk about, I don't know
if I have time to talk about personas, but we could get to that.
But imagine you pull it up every day and you say, you know what, let's look, let's call
them your admin.
Admin let's look in the 417 area code.
(10:24):
Let's look for a house that I want to be able to make some money on it.
I don't want to have to do maybe new siding.
I don't want to do concrete work.
And you can just talk through all the things.
It will go out and it will search all your MLSs.
Through pictures, it could help to determine concrete's good condition.
It doesn't need new siding because it's got vinyl on it.
(10:44):
You know, and you can feed some of this.
And at the end of the day, it's going to bring you back 50 or 30, depending on how you direct
it.
But it will go out and do the thinking and it will go to all the websites it believes
it needs to, to find what you're looking for.
And then it would report back to you on the medical side of things.
If we wanted to go that direction, you know, on the doctor side, what if, what if you're
(11:09):
able to go into a clinic and the doctor from your symptoms can actually talk to an AI admin
that is building this data from all around Missouri or the US.
It could predict things.
It could predict, hey, we're seeing a lot of this in this area and we know what, you
know, what medication's working the best.
(11:30):
You know, your doctor today, he's living in the history that or the knowledge that he
has from the weeks of experience or the few people he talks to.
AI, AI is going to build that whole network together and be able to put those people together
and be able to inform you within seconds instead of it taking weeks and months to try and figure
it out.
Does that make sense?
(11:51):
Yes, absolutely.
I love that.
So that's, that's general AI and that's where we're going.
They're saying 2030.
I think we'll get there a little earlier than that.
The one that everybody's scared to death of and honestly we all should be, it's called
super intelligent AI and the acronym is ASI.
You can do all the research you want on this because all these acronyms are out there for
(12:12):
you to research, but it's very speculative right now.
They envision that this is going to happen the date that at the conference they were
talking about was 2075.
So you know, we're talking 50 years away, which in the advancement of technology, that's
a long way.
A lot of things could change along the way.
That AI, it will surpass human intelligence.
(12:34):
What it will be able to do, we've tried to cure cancer for years and years and years
and with computers and humans, all of the data analysts or the analysis of the data
and all of the, you know, research, it really, it hasn't been as efficient as if we was to
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hand it over to something that's super intelligent.
It could work with other computers across the world and it could come up with things
like what do we need to do to cure cancer?
What is it that's going to make life expectancy longer?
And it can tell you whether it's calorie reduction or whatever it is.
I mean, this is going to be far smarter than us.
(13:18):
And when I say smarter, it's the data and it learns from each other.
And that's the thing that we really need to think about.
General AI, the second one we talked about learns from us still.
Super intelligent AI will be learning from itself.
It will be learning, it will be giving you results and it will be monitoring and saying
(13:38):
that worked, let's do something different to even get better.
And it needs no interaction from us to have that happen.
And that is scary.
That's very scary AI.
We've got a lot of years before we really believe that's going to be out there.
We've got, you know, a lot of people trying to watch it and that's where trying to figure
out what is ethically okay and what is not.
(13:58):
Because we do not want to be, you know, we do not want to be slaves basically to AI and
I know that's one of the fears everybody has.
I also, I'm a big podcaster listening to them.
Dax Shepard, armchair expert.
If you listen to him, great.
If you don't, you should go out and at least listen to a couple episodes.
But he had Ashton Kutcher on there and it was an interesting thing.
(14:19):
This was, I believe, a few years back, but they were talking about AI and Ashton said
that his kids are growing up and he knows that his kids will be in the middle of all
of this.
So he said his thought is he's preached to his kids ever since they've been able to basically
type on a computer.
There's two decisions you've got to make in life.
(14:40):
Is AI going to work for you or are you going to work for AI?
That's an interesting topic and maybe one in the future we could talk through.
So there, I've hopefully I've simplified what AI is.
We are in narrow AI today, general still to come and super intelligent.
So I kind of want to clarify and give examples of what each of these is.
(15:03):
But while we're doing that, can we also talk about some of the misconceptions?
Because while you were talking, my head was going to some of the craziest places of, well,
we'll get to that.
It was going to some of the craziest places.
So let's talk a little bit about that.
Let's talk about daily examples.
(15:24):
We talked about the Netflix.
We talked about how the AGI could be an assistant.
Yeah.
So before or along with the misconceptions, let's talk about the real life examples today
though.
And you did talk about a few of them there.
You know, I've got friends today.
Well, I've got friends, colleagues even today that basically are against AI.
(15:47):
They're like, I don't want to use AI.
I'm not going to use AI.
You know, I'm afraid my information is going to get out.
I'm afraid that, you know, what if, you know, some other country is still in everything
that we're talking through.
I realized that if you are using anything, if you're using your cell phone today, you're
using AI.
You know, narrow AI is as little as autocorrecting text when you're texting back and forth with
(16:11):
family members.
If you are using the autocorrect feature, guess what?
That's AI.
If you're using Siri on your iPhones, you're using AI, it's going out and it's trying to
figure out what you want and give you the best results back.
If you're using Alexa, Google assistant, if you go into Netflix, Connie, have you ever
noticed when you go into Netflix, it gives you the recommendations?
(16:32):
Yes.
So what it's actually doing, it's monitoring what you watched and it's like, okay, they
like this, they like this, they don't like this.
But not only that, it goes out and it finds people that are similar to you.
And what have they watched that they've liked that you haven't watched yet?
That's AI.
It is giving you results based off of these data and what it believes you're going to
(16:53):
like next.
So if you are on Netflix, guess what?
You're using AI.
Whether you want to believe that or not, you are.
Even Amazon, you know, if we go to Amazon, it's going to give us that suggested list
down there.
Hey, have you looked at these items while you're shopping?
That's AI.
Oh, interesting.
So that brings up a point when you said it's looking at all the data and trying to figure
(17:16):
out what's similar to yours.
I would have thought that fell under that AGI.
So tell me the distinct difference there.
The distinct difference is it has a very specific task.
And it's a task that Netflix programmers or whoever it is has told it to do.
I want you to do this, this and this.
Narrow cannot think on its own in a sense.
(17:39):
General is going to have some abilities to think on its own.
So I mean, once again, if you've got an assistant at work, you provide them a few things and
they can go work all day and bring your results back without you having to tell it, I need
you to do this now.
I need you to do this now.
That's what General is going to be able to do.
It's going to become your assistant and it's going to be able to learn what you want, what
(18:01):
you need and produce those.
I mean, we work in AI all the time, Connie, whenever we're even producing some of the
stuff on our episodes as far as cleaning the data up or I mean our voices up.
That's all through AI.
The imagery that we created, we come up with some images and we said we want it kind of
(18:21):
like this, but guess what?
AI created that.
Imagine if we said, okay, we're getting ready to do season two.
And when you say we're going to do season two, imagine your assistant says, hey, let's
change some images here.
Here's a few that we would recommend.
Here's some episodes we think that would do good based on what you did last year.
(18:42):
That is AGI that's not there today.
It would be giving you recommendations without you asking for them.
Interesting.
Okay.
I'm just sitting here thinking once that AGI comes out from a business standpoint, what
businesses and this could get scary unless these businesses figure out how to use this
(19:02):
to their advantage, but I'm sitting there thinking I use accounting every day.
I use, I mean, I have to be aware of the law every day, marketing, you know, all of those
things to a certain extent that AGI could take over a lot of that.
Is that what you're telling me?
Yeah, absolutely.
AGI is the future and it's not a future I think that we should be worried about today.
(19:25):
The superhuman, which if that even really happens, you know, once again, that's very
speculative whether it's going to happen.
The AGI is where we need to watch, but individuals need to start at least playing in AI.
And you know, there's countless places you can do a chat GPT.
I think you know that one, Connie.
(19:45):
Yes, chat GPT.
There's one called Claude.
Dally, which is I think it's D-A-L-L-E, I believe.
That creates imagery.
There's one out there, I don't even remember the name of it right now, that will do somewhat
professional pictures.
And if you were on my Facebook, you would have, I threw some out there that I had AI
(20:06):
generate that are real, it looks like photos.
But what you'll notice is today it's got one may have six fingers instead of five.
It's just, it's not there.
Well, and you see those ads on Facebook where it says, you know, upload your face and it
will make a professional picture for you.
Yeah, well, and to tell you the truth, you can go on one today and I don't remember the
name of it either, but you start talking into it and it can mimic your voice.
(20:31):
And whenever you go to do training, what you can do is you can write a script, your own
script and it will talk that whole script to do training videos in your own voice.
But that's also the one that they say people are using to pretend like they've kidnapped
somebody.
Is that correct?
Yes.
(20:52):
So you know, you always take the precautions.
Yeah, everything's scary.
I mean, the thing is with your voice, I mean, how many people have been around where we
have, what are the people that can mimic other people's voices?
I don't even know what that.
Like ventriloquists or I know what you're talking about.
(21:12):
Yeah.
I mean, there's always been people, whatever the Carrie's name is that always did the presidents
and stuff like that.
So it's not that AI is going to be able to duplicate your voice, but it's not going to
duplicate you.
I guess that's what I'm saying.
So there's always been people out there that could do your voices, at least for certain
(21:33):
people.
So I'm not as concerned about that.
You know, what I'm concerned about in the future is the ethics of it determining whether
something should happen to a society or not.
And that's where we get into the superhuman.
And we're not there.
And I don't even think we need to go down that path yet.
Well, you say that, but can I ask some questions about it?
(21:56):
Because we're thinking like, when you bring that up, I think of the Terminator movies,
of course.
Sure.
But as I sat there and thought about it, I thought, well, wait a minute, computers can
take over technology.
Yes.
But what if we didn't create robots?
What if we just had computers and or even the robots that couldn't work?
(22:20):
I mean, to a certain extent, there has to be some human involvement.
Tell me if I'm wrong.
Because if we all destroyed all of that and went back to 1850s, we would start over.
Is that correct?
Or is there a way that that could get through?
This is hypothetical.
No, I know exactly what you're saying.
(22:42):
So there is this, they call it the pivot point to where it doesn't need human interaction
anymore, to where it's controlling manufacturing facilities, it's got robots that can build,
forklifts that can drive on its own.
It could basically produce whatever it needed to produce without our interaction.
And that's that pivot point that you worry about.
Yeah.
(23:02):
That's a long way off.
That is, it's a long way off.
And the reason I think it's important that people get involved today, you need to understand
where we're at.
And as it goes on, understand where it's going and help people understand where it should
stop because we don't want the top guys that's in tech to make that decision.
(23:24):
Believe it or not, I do believe we will get to a point that you see some of this on ballots
that we will be voting on.
This is the reason I do believe it's going to be important.
You need to understand it.
You need to get involved in it.
Take precautions, but I think everybody needs to have at least an understanding of, in my
opinion.
So tell me how AI has helped you personally in some of your personal life, your business
(23:51):
life.
Just give some examples so I can create this picture.
Sure.
It was funny.
I was introducing AI to Ellen, and she's honestly probably one of the smartest people I've been
around.
Even on tech, she'll say she's not, but when she gravitates towards something, she can
learn it very quick.
I think everybody in her family is that way, which is crazy to me.
(24:12):
So I showed her AI, and I just showed her some little stuff, and she said, well, I wonder
if it can do this, which is something I didn't even think about.
And she said, create a story about a small town veterinarian because that's what she
is.
And she just, this whole path, it created her like a five page story on her life.
So imagine if you are at work today and you are trying to, you write an email and you're
(24:38):
like, okay, for me, I'll tell you where I use it.
I know I want to make sure my grammar is right because it can be terrible.
I know it can be.
So whenever I'm writing all this stuff out, what I will do is I will, if I'm writing something
that's going to be released out to the public, I will push it into AI and I write two things
in there.
I will check grammar and wordsmith this, and then I paste inside my AI agent and I say,
(25:04):
and I click enter.
What it does then is it will go through and it'll say, oh, let's change this word.
You need a comma here.
And it will go ahead and even give you a wordsmith, which is changing the way it believes it flows
better.
90% of the time, I love it from there.
Sometimes I'll go in and critique it a little and then I release it.
(25:24):
But you know what?
It's like my editor.
I know everything's right then as far as the grammar of it.
Another thing you can do, it's called personas.
So in AI today, once again, we're in narrow.
When you build a persona out in a channel, you can say, I am a tech professional in this
industry doing this, this, this, this, and this.
And you can say, what I need you to do is create me, whatever it is, create, go out
(25:49):
and search this website.
Give it a website www.ourlifebeyond.com, which I wouldn't search that one, but a good website.
Give me the information that tells me, you know, what's the hottest stocks today?
What stocks have done this?
Whatever you want it to do and hit enter, it will go out and it will look, it will search
that whole website.
(26:10):
It will get the data you want and it will bring it back to you within 30 seconds.
So if I'm doing research, I will start in AI with my research.
Now I will say this, AI will, all of the clients that you go to will say, you know, these,
we don't know they're true because it's just searching the internet.
So do realize that you still have to go out and look and make sure and verify some of
(26:34):
it's true.
You don't want to just take what they say and say, oh, it's got to be the gospel.
If we look on Facebook and everything else, we know everything we see is not necessarily
true.
But it's a start.
It's a place to start.
Absolutely.
And if you build that persona, the next time you go in there next week, it already understood
everything you did before.
You can start building and keep building this thing out to where basically you have an agent
(26:58):
that knows you, knows the websites you want to search, knows every, I mean, you're building
out basically an admin, but it's very specific task oriented and what you need at that time
because it's narrow.
And you just go out and you type, okay, you've done all this research from above, include
this now, summarize, do this, do this, and it will build these out for you.
(27:18):
I use it, if not every day, at least every other day, but honestly, I think I use it
every day.
Yeah.
And I have started using it.
So I use chat GPT and the only thing I've really done is like the proofreading, but
I will tell you, and this is so sad, my memory as I have gone through menopause has just
(27:39):
bit the dust.
I can't, I've always been great with my words.
I have been great at putting something together and I can't do that now.
And so a lot of times I will go to chat GPT and it writes a beautiful thing.
And just recently, Jeff and I had an anniversary and I wrote a horrible anniversary letter
(28:02):
to him.
I was like, this doesn't even sort of portray what I'm feeling and what I want to feel.
And I did put that in chat GPT and then I put some commands and it wrote a beautiful
letter to him.
And I was so thankful where some people will be like, well, that's not real.
It actually said what I wanted to say.
(28:25):
It is real.
I can't think of it.
Yeah.
Connie, it's real because you have to put the parameters in there.
You have to tell it what you're trying to get the points across.
I mean, I go back to, if we go out and look at all the books today, I just read the Elon
Musk book.
Guess what?
It's not wrote by him.
It's wrote by somebody else based on his life.
(28:45):
AI is the same thing.
We tell it what we want and we get a more perfect example of what we want to demonstrate.
It's the shadow writer kind of.
It absolutely is.
We've done it for years.
It's just people aren't comfortable with a computer doing it instead of an individual.
But hey, guess what?
I get $10 bucks a month, I get an assistant.
That's right.
(29:05):
Which is pretty cheap for me.
So what would be your recommendation if somebody wanted to start trying AI?
Let's transition into AI.
I'm a beginner.
What do I do?
So first of all, I already talked chat GPT, which I think I introduced that one to you.
That's probably the most popular one out there.
(29:26):
It's not the only one.
It's free.
Go in and create it.
If you've got a Gmail account, you can even use just say use my Gmail account, Google
account and it'll set it up for you.
It's 100% free for $20 a month.
It builds upon it with a few other features much quicker.
You can do a few more things, but don't pay for anything now.
(29:46):
Go out to either chat GPT.
Microsoft has one.
If you have Windows 11 Pro, it's interesting.
Microsoft is called Co-Pilot.
It actually now is on your taskbar.
When I'm at work, I can go click on the taskbar and say check grammar, wordsmith, paste this
in there and it just gives it to me right back.
So Co-Pilot is one.
(30:07):
Once again, it's free.
If you really like what you see and you really want to get farther and you're like, how can
I do more than just that?
In chat GPT, what you do, you have to, because it's narrow, it is very specific.
You have to add these services to it.
One of them that you can add is called Dolly.
D-A-L-L-E, I believe.
(30:27):
But you add the service in there and if that service costs you, you have to pay Dolly.
If it doesn't, it could be free.
I think mine's free.
But from there, you can say go to Dolly and now create an image.
So you start building out your own AI the way you want it.
Gamma is another one.
What Gamma does, imagine you've got a Word document that's got 2000 words on it and you
(30:52):
somehow have to present this in front of an executive board.
You can go into Gamma and say I'm presenting in front of an executive level team.
I need a 40,000 foot view of this and you upload that document.
PDF is the best.
You upload it and when you upload that document, it analyzes it and it will create slides.
(31:13):
You can tell it to create 10 or 5.
It will create slides from it that you can present.
It will put graphics in there.
There's one out there and I don't remember the name of it right now that will do videos
for you.
And what I mean by videos, it will be a 3 minute MP4 video and you can actually say
I want to buy iStock pictures, which you have to buy.
(31:33):
You put your credit card in there and you allow them to purchase pictures for you and
it will build out videos.
It could even be training videos based off of either a presentation you upload.
I mean, honestly, the sky's the limit with what you can do as you can imagine from what
I've said.
But just start at the basics and understand that where you're starting today, it's going
(31:54):
to get so much more advanced every day it does.
So like I right now use chat GPT.
That's it.
And I just use it for the proofreading or helping me write something.
But ultimately, as I get more advanced, I could use this to create a Microsoft office
type thing for myself.
Like just put what I need.
(32:14):
It's going to help me do those things and eventually it will get even more advanced
in the coming years.
Yeah.
And the thing I want to caution you, don't put a bunch of personal information up there
because computers are learning from what you say.
And not only that, you're building it's kind of this neural network basically.
If this AI agent doesn't understand or know, it's like a brain.
(32:37):
It goes to the next one.
It says, do you understand?
Do you understand?
Until somebody comes back with the result.
And then as it comes back up, each one of those learn.
And you don't want all your personal data out there.
Even the company I work for, they are very big.
We have a very big policy about what we can use AI for and what we can't.
The general one on the outside.
(32:57):
Now today what's happening, these large companies are purchasing like an instance of chat GPT
and they're putting it behind their firewall.
And what that does, anything that you are asking, it can search everything within the
organization and it can also go outside and find things, but it will not give any of your
results to the public.
(33:18):
So it's protected, so all that intellectual property.
But most very small companies can't afford that because it's very expensive to buy one
of those and put behind a firewall.
But that's where these companies are going.
Interesting.
But just be careful.
Don't go out there and throw your medical records out there and social security.
Understand that it's almost like doing a Google search.
(33:41):
You just want to be careful.
Got it.
Good to know because I have heard that if you get the paid for version of chat GPT,
you're much safer, but that actually is not the case is what you're saying.
I don't think so.
I think you get more processing and some stuff.
I think in the future, and I do want to talk a little more about the future of AI, what
I learned at the conference I went to, but I think in the future you're going to be able
(34:04):
to pay for safer versions that may protect your stuff.
I don't think it's there today, Connie.
Okay, great.
All right.
Tell us what else you learned.
Yeah, so I get excited about this.
You know I do, Connie, because I talk to you about it all the time.
So these are some of the things that they are looking at futuristically, and this is
going to scare people, and I know it is.
(34:25):
We talked about job loss.
There will be job loss, but there will be jobs that will be created also from it.
So some of the job losses, it's not really a loss, but one of the things that they showed
and they kind of demonstrated is imagine if our commercial airplanes are flown by AI.
I'll leave that for a second because everybody's like, holy shit, I don't want this computer
(34:46):
controlling it.
Okay, think about this though.
In the military today, they use drones to do all these strikes and everything.
There's not a pilot on that plane.
The drone, the pilot is back in a control room monitoring it.
They believe, some of the professionals, that what's going to happen is I'm not going to
(35:07):
take one of the airlines because I don't want them to say I'm taking their ideas, but imagine
an airline puts one of these behind the firewall where nobody can steal their stuff.
It's just like their servers.
They build out every time a pilot flies, it analyzes it, which it can or will be able
to.
It can correct or you can help direct if this happens, it should always do that.
(35:28):
You know, they're pilot errors.
We're coming down with a crosswind.
We all know that we've got to do rudder this and all this stuff, but there's pilot error
that could happen.
With AI, it will know exact circumstances if it's above a 14 mile on a crosswind.
We do this, we do this for the best landing we can get.
It believes that it will react better.
(35:49):
If it makes a mistake, it won't be a critical mistake, but if it makes a mistake and it's
a hard landing, guess what?
It will correct its algorithms and it will push that update to all 25,000 aircraft out
there to not do next time and it will continue to learn.
It's just like the autonomous driving cars.
I did one in San Francisco.
Well, I did tons of them.
(36:10):
I'm not even in the driver's seat and it drives.
We're going to have to get used to this stuff.
Another one, so that's on the pilot.
What they believe is going to happen is you're going to have a pilot in a control room that
is monitoring probably 10 or 20 aircraft or maybe it's five, whatever they decide, but
the pilot's going to be able to override things, going to be able to tell it to do things,
(36:31):
but they believe be a better experience for the customer.
Another thing they said, look where all the lawsuits are coming from today.
That's where people are going to want AI involved.
One of them is in the medical.
They believe that in the future, what's going to happen is you're going to be able to go
in and say, I've got to have a gallbladder removed or I've got to have heart surgery
(36:51):
or whatever.
You're going to be able to pick a doctor or a robot with AI that can do it.
I know everybody's going to go, oh shit, nope, I want the doctor.
What's the benefits?
What's the drawbacks?
AI is going to be cheaper.
I'll just tell you because it's not an individual that has to have a $400,000 a year salary
out of it.
With AI, it's continuous learning.
(37:11):
What they're going to do is say AI can do it cheaper or you can get a human, but if
we use AI, it's going to be cheaper.
If they cut into you and they see something, what if they cut into you and they think something's
cancerous?
Today, the doctor usually will take a, I don't know, a sample of it maybe.
They stitch you back together.
They figure it out.
Later on, you may have to have another surgery.
(37:32):
They're saying, what if AI, when it goes in there, it sees something and it can do 3,000
tests within 45 seconds on it to know is it cancerous or not?
This needs to be fixed.
This doesn't.
It can actually react and be a specialist in more than just heart.
It could actually be a cancer doctor, a heart doctor, all at once.
You have to make the decision whether you want that or not, but it can be.
(37:56):
I'll give you the final one and we can go on.
I get excited about this, of course.
Taxes.
Everybody hates taxes.
Everybody hates tax attorneys.
I was going to say, if I can get rid of my accountant, which let me tell you, as people,
I love them, but if I could get rid of my accountant, well, my accountant and my attorney,
I would save a crap ton of money every year.
(38:17):
Well, and the thing is-
Well, if I could get rid of the IRS, let's start there, but-
Yeah.
The thing is on taxes, what if we can feed an AI agent every law book, and honestly,
it'll take it a matter of 20 minutes to go through every law book and learn it, and then
from there, you've got an assistant that every company can have their own law assistant,
(38:38):
basically, that you just go in and say, I need this.
I need my taxes done.
I need this.
I need you to make sure that everything's good.
I don't want to be sued.
It will determine by law, and you're going to be able to take this if you was to get
sued and say, look, we followed all of these laws.
There's not a tax attorney out there today that can do every kind of, I say tax attorney,
(38:59):
attorney in general that can cover all the things AI will be able to.
Now, today, do I think they're going to get rid of those people?
No.
I think in the beginning, you're going to have access to that, but you're still going
to want to go and get it verified by your tax attorney or some other kind of attorney.
But in the future, it's going to be less and less needed.
And the reason that's big, if you can prove what you've done in court, and AI is going
(39:22):
to have step-by-step instructions, then you can prove that you did the best practice.
Everybody gets sued all the...
Well, I say everybody.
A lot of places get sued for medical.
We know that.
Malpractice.
What if the AI can prove every step it done and it did the best approach based on all
(39:42):
the data that's in the world today?
It's going to be hard for you to sue or for individuals to sue saying it was malpractice.
So that brings up an interesting topic in and of itself because that sounds like the
white collar workers could get phased out by AI.
What about the blue collar workers?
Because I'm thinking, in my business, I use plumbers, I use framers.
(40:06):
Every ounce of construction, the only thing that would get phased out is maybe their office
work.
Their office, where they're buying stuff from.
They need to go in the lumber yard, what if they can be on site and they've got an AI
agent and they can say, I need a pallet of this, I need this, I need this.
They don't have to make a phone call or do anything and it shows up and give me the best
(40:29):
price.
Which, let me tell you, that would be amazing because I've seen so many people in those
blue collar jobs that do a terrible job with their office work, but they're amazing with
their hands on.
That would free them up to be the absolute best they could be.
I love that idea, actually.
You know AI, whenever we're talking about job loss, I think there would be more white
(40:52):
collar job loss than blue collar.
The misconception is every programmer out there is going to have worked for the rest
of their life because of AI.
Today, you can go into AI and, well, they're using it today to get snippets of code.
You can go in, you can actually take the code that you have, import it in and say, where's
my errors?
Because it knows C sharp, it knows Python, it will go in and find any errors.
(41:14):
You can also say, I need a snippet of code that will do a time, based on time, will do
this, this and this.
It can actually create it in whatever language you want.
You grab it, you put it in.
Where I'm going with this is sooner or later, programmers are going to have to upscale and
they're going to be like system architects in a sense, not software architects.
(41:34):
They're going to have to be the one that's directing AI, what it needs, what's viable,
what's not, all of the stuff.
Interesting.
Do you have a place for people like me?
Do you know of any place that you can go online and start learning about AI or anything like
that?
I know of one that I went on and started doing, but do you know of any?
(41:57):
The thing is, we have to be careful because AI is still so hypothetical.
If you're not careful, we all know the internet's full of a lot of good stuff and a lot of bad
stuff.
If you do go out and search, every day it's changing, AI is.
Tomorrow there may be a new AI service that does something that you really like.
Just make sure that you're not getting it from Facebook because that's bullshit and
(42:19):
we know it is.
Go out, find something that's from a tech, a rep called tech site, and just do some searches.
Do some searches on ANI, which is the artificial narrow intelligent, AGI, and where it's going.
Grab one of the, like I said, go to ChatGPT, go to Copilot or Claude is another one of
course.
(42:40):
Go get a free, just go get a free subscription of it.
Don't think it's automatically going to download all of your shit and next thing you know,
all your stuff's going to be on there.
It is not.
It is like a Google search type of thing, but it's persona based.
If anybody needs help with that, of course, I'd love for them to message us and we could
talk more about that.
Scott can talk more about that.
(43:01):
Well, you can too because believe it or not, you're a lot more capable than you think.
That's absolutely true.
You are right.
Let's close it up because I do know we're getting close to time, but I want to, before
we close up, I want to talk about why it's so critical to stay involved in AI.
Yeah, let's talk about that.
Okay.
So I'm going to go out to companies, two companies that everybody probably out in our listener
(43:27):
group will know.
Let's talk about Intel and Nvidia.
Nvidia probably if, especially 10 years ago, that was the graphics card.
You go buy an Nvidia graphics card, Intel, you probably have a little sticker on your
laptop computer that says Intel.
So Intel never really got into AI.
(43:48):
They are, they are CPUs and believe it or not, CPUs are the criticalest thing for building
out AI.
I won't get into the specifics of parallel processing versus this and why one's better
than the other, but Intel never really got involved in it.
Nvidia on the other hand, they did have a leg up because their GPUs are parallel processing.
Which is better for it, but they jumped head first into it.
(44:10):
I know people that work at Nvidia and the stuff they were doing.
I'm like, this is, they were doing stuff three years ago that we see today that we never
envisioned happening.
Intel kept producing chips, kept producing chips.
Well, if you would have invested and bought 100 shares of Intel five years ago and you
would have bought 100 shares of Nvidia five years ago, guess which one you would make
(44:34):
money on?
Well, I would, I would imagine based on what we're talking about Nvidia.
Yes.
So Intel in five years, they declined by 45% stock market wise.
Nvidia, if you would have five years ago, 100 shares, they've grown by almost 500%.
(44:55):
500 splits and splits.
I know people that have Nvidia stock.
I'm jealous.
The reason, the reason I kind of wanted to close with that, everybody follows the money
companies do.
AI is here to stay.
It's not going away.
I don't care if you say it is, it's not going away.
You can buy tractors that you will produce more results on your fields with it.
(45:18):
Everything you can, it's everywhere today.
What I'm saying, let's not be afraid of it.
Let's not be scared of it.
Let's understand it and help figure out what that future looks like.
Because I do believe that the world's going to help determine where we go.
Absolutely.
And this is, yeah, like you said, this is here to stay.
It is.
We need to learn about it if we're going to stay ahead.
(45:39):
And that's obviously, we want our listeners to stay ahead of the game.
Our whole podcast is about transitions.
And I know in the beginning people probably thought how in the hell's AI fit into it?
Our whole life's going to transition because of AI.
You are going to have to figure out little nuances about your job.
If you have an office and you're not using AI today, your competitors are.
(46:01):
Or if they're not, they should be.
And I can promise you, you can do far better if you're using certain aspects of AI.
Absolutely.
Well, thank you so much for sharing your knowledge with us.
You have taught me to not be afraid of it and to actually start using it.
And I have loved it.
Because again, it makes my life much easier.
(46:22):
So I hope our listeners are either advanced in it like you are, or if they are not, they're
willing to go out and try something.
Start with chat GPT.
It was so simple to use.
And just play around with it for a little bit.
But like Scott said, don't put in personal information.
But I will guarantee you love it.
Yes, I will too.
So thank you so much for letting me talk about this, Connie.
(46:44):
I've got a passion for it because this is what I live every day.
And being able to at least explain this to people, I think will help them going forward
in understanding it.
Yes, I think so too.
Well, thank you so much.
And we will talk to you next week.
Okay, thank you so much for listening to this episode of Our Life Beyond.
(47:04):
We really hope that you found our discussion insightful and inspiring or at least brought
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If you did enjoy this episode, please consider subscribing to the podcast on your favorite
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For more information, resources or show notes, visit our website at our life beyond.com.
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(47:25):
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So feel free to reach out with your questions, comments or suggestions through our contact
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And once again, thank you for joining us on this journey.
Until next time, remember life beyond any challenge is possible and we're here to navigate
(47:48):
it with you.
Stay strong, stay positive and keep moving forward.
Well, hello, hello, hello.
(00:09):
Welcome to our Life Beyond the podcast where we explore how to navigate and hopefully thrive
through some of life's biggest transitions.
I'm your co-host Scott Dibben and I've teamed up with my great friend and mentor, Connie
King to share some stories, strategies and insights that helped us adapt to the ever-changing
seasons of our life.
(00:30):
Whether your life transition is divorce, death of a loved one, switching careers, moving
to a new city or just trying to figure out what the hell is next, we're with you every
step of the way.
But always remember, we're not therapists, just fellow travelers with a knack for finding
humor in the chaos and maybe some untraditional method of overcoming what life dishes out
(00:51):
to us.
Hopefully you'll have fun embarking on this journey.
So now let's get started.
I want to give a special thank you to Habit Coffee for sponsoring us.
So if you're local to Springfield, you're probably aware of the miserable construction
at Highway 60 and Farm Road 125 heading into Rogersville.
(01:14):
Yeah, right in the midst of all that progress is the Habit Coffee Company, a fantastic local
vagina-owned business.
They're more than just a coffee shop, they serve delicious scratch-made breakfast and
lunch options, they have a state and county inspected kitchen, and they love catering
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While it might take a bit of extra effort to reach them right now, they're excited
(01:37):
about the upcoming expansion when the highway reopens this fall.
Support the Habit Coffee Company and enjoy their incredible offerings today.
Thank you so much, Habit Coffee.
Hey everyone, welcome back to Our Life Beyond.
Today we're diving into something that's impacting all of our lives, whether we realize
it or not, artificial intelligence or AI.
(02:00):
Now I know many of you might hear AI and immediately think of robots taking over jobs or futuristic
movies where machines run the world.
But today, Scott and I are here to clear things up, show you how AI is already part of your
everyday life, and talk about how it can actually make things better for us.
Awesome.
Thank you, Connie.
(02:20):
So I'll throw my two cents in in the beginning here.
I've lived in the AI world because I am in the tech sector, as most of you probably know,
for the past 13 years.
I just came away from a conference that was three days on AI internally where I work today.
We're trying to focus on how we can ethically use AI and going forward.
(02:43):
So this is just kind of my everyday thinking and knowing that that's the direction the
world's going.
And you know, I know, and I think Connie does too, because we just talked about this yesterday,
most of the people don't fully understand AI.
And it is, it's that fear of job loss.
And I think we need to stop that in the beginning here because it has nothing to do with job
(03:03):
loss.
But we need to figure out, you know, where people can use it, if they should use it,
and hopefully give you some advice on that.
So really, the goal is, you know, let's see how AI, we're going to show you how it's already
part of your daily life and how it can make things better going forward.
Yeah, I also think something really important to think about is, you know, we wanted a podcast
(03:26):
that helps people transition.
And guess what, whether you like it or not, AI is going to be part of your life, and you're
going to need to learn how to transition.
And I think you and I talking about it is good because you are experienced, and I am
probably one of the most technologically challenged humans ever.
And even I have started using it.
(03:47):
Very basic, but it has made a world of difference in my life, my business, and I have actually
loved it.
So I think having the two opinions or the two different, we're both in different places.
You're very advanced on it.
I'm very much a beginner.
(04:07):
And I hope that we can just show people you can use it to your advantage.
Yeah, that's perfect.
And we sort of built an outline because we want to make sure we get through what we believe
we need to, to inform people, to help people understand it and see what's next.
So we probably have a little more structure to this podcast or this episode than we have
(04:28):
in the past.
So let's start off with what is AI?
What is it really?
AI, as we both know, it's artificial intelligence.
Go ahead.
Sorry.
No, go ahead.
I was just going to say, so a lot of this, you will be heading up.
I get to put my two cents in, but you're really good at explaining in simple terms what it
(04:50):
is and you break it down.
So I think you'll be talking through most of this.
No, what's great about this, Connie, you have been in AI for a few months now because I
kind of introduced it to you and you.
It's amazing because I've watched me just, I literally just said, go to this website,
do this and this and weeks later you're like, look what I'm doing now.
(05:11):
Look what I'm doing now.
So you don't have to be this advanced tech person to do any of this.
Actually you probably, it's the opposite.
If you are an advanced tech guy, you can make it far too complicated.
So and you and I have talked about, so I have a saying that I am motivated by laziness.
And what I mean by that is that I will do the hard things so I can be a little bit lazy
(05:36):
on the backend.
So I, you know, I work my butt off on the front end to, you know, enjoy the fruits of
my labor on the backend.
And AI has allowed that for me.
It has allowed me to put in some of the work and yet it allows me to be a little bit lazy,
but get this great, well, for me it's always been writing.
(05:59):
Yeah, me too.
Yeah, I loved it.
You know, when I was at the conference, the AI conference I was at just a few months back,
there was an individual that was heading up a tech company and of course they had panels
of people in front of us and everybody's talking about how AI has changed their life.
And for him what it was, as a tech company, as a person that's trying to give out information,
(06:19):
you cannot write enough blogs to be honest because blogs create SEO, which is search
engine optimization that drags people to your website.
It's a lot of stuff.
So he said the problem was he, him himself, he said, I'm not a writer.
I am a tech guy that completely understands it, knows what people need, but I don't know
how to formulate it.
(06:39):
So he went from writing one blog a week to being able to write three blogs a day to give
to his people to advertise.
And it wasn't, it didn't change his life as far as it made me smarter or no, what it did
is it took the admin section away that he hated and it let him do what he was really
good at, which was to tell what's the subject, where do you want to research?
(07:03):
What do I need you to get?
And then build this out for me.
And then he critiqued it from there.
Absolutely.
And think about from a business perspective, what that could do if you're using AI and
your competition is not, which I know we will get to talking about also, but that can put
you ahead of your competition and make your job easier all at the same time.
(07:25):
Yeah, absolutely.
I want to talk first.
I want to give just a really brief understanding of AI when I say AI, the three stages of AI
and where we're at today and where we see it going in the future.
This will be super quick.
It's not too techie.
So don't worry about that.
But there's three levels or stages to AI.
There is narrow AI, which is where we're at today.
(07:46):
And what you'll see if you haven't, if you're big into acronyms, it will be A-N-I it's artificial
narrow intelligence.
That's where we're at today.
And what narrow AI does, we give a specific task.
You can even use voices sometimes, but we give it specific task.
And from that, it will give you specific results.
You can tell it to research something.
You can tell it to give me ideas, but it's only on that task.
(08:11):
It doesn't have the conversational aspects that a human would have.
That's where we are today.
So when I push the little microphone on my remote and I say, find such and such a movie
on Netflix, that's AI?
Yeah.
Oh, okay.
All right.
Let's talk about the second one.
And the second one is called general AI.
(08:33):
And all the experts were thinking that it's really would be released about 2030, but they're
actually pulling that back saying it could be 2026, 2027.
So let's talk about what arrow AI is, or general AI, sorry.
And the acronym for that would be A-G-I.
It's artificial general intelligence.
(08:55):
It has more of a theoretical approach.
It is more human-like.
It's able to do human-like things.
Imagine if you could set and have a conversation with your computer and say, you know what?
Today I've got to do this.
I've got to do this.
What can you help me with?
And it would be your assistant.
It would help do functions and stuff for you without having you direct every or spoon feed
(09:19):
it or every task.
It could do things for you.
It acts like a human.
It is more interactive, but that's as far as it goes.
And it really would be almost at an assistant level.
So we're not there today, but I can tell you even through some of the forums that I'm looking,
it looks like they're getting ready to release some stuff that's going to get close to that.
So Connie, does general AI make sense?
(09:41):
So give me an example of how that would work in business standpoint.
That's how I kind of perceive things.
Yeah.
So right now I can give A&I a task.
I mean, I can say, you know, proofread this paper.
Absolutely.
So how is it different than AGI?
So okay, AGI.
(10:02):
So I know Connie, you're big into the real estate world.
So let's go down that path.
This may make sense.
So what if you've got an AI agent that you pull up and we'll talk about, I don't know
if I have time to talk about personas, but we could get to that.
But imagine you pull it up every day and you say, you know what, let's look, let's call
them your admin.
Admin let's look in the 417 area code.
(10:24):
Let's look for a house that I want to be able to make some money on it.
I don't want to have to do maybe new siding.
I don't want to do concrete work.
And you can just talk through all the things.
It will go out and it will search all your MLSs.
Through pictures, it could help to determine concrete's good condition.
It doesn't need new siding because it's got vinyl on it.
(10:44):
You know, and you can feed some of this.
And at the end of the day, it's going to bring you back 50 or 30, depending on how you direct
it.
But it will go out and do the thinking and it will go to all the websites it believes
it needs to, to find what you're looking for.
And then it would report back to you on the medical side of things.
If we wanted to go that direction, you know, on the doctor side, what if, what if you're
(11:09):
able to go into a clinic and the doctor from your symptoms can actually talk to an AI admin
that is building this data from all around Missouri or the US.
It could predict things.
It could predict, hey, we're seeing a lot of this in this area and we know what, you
know, what medication's working the best.
(11:30):
You know, your doctor today, he's living in the history that or the knowledge that he
has from the weeks of experience or the few people he talks to.
AI, AI is going to build that whole network together and be able to put those people together
and be able to inform you within seconds instead of it taking weeks and months to try and figure
it out.
Does that make sense?
(11:51):
Yes, absolutely.
I love that.
So that's, that's general AI and that's where we're going.
They're saying 2030.
I think we'll get there a little earlier than that.
The one that everybody's scared to death of and honestly we all should be, it's called
super intelligent AI and the acronym is ASI.
You can do all the research you want on this because all these acronyms are out there for
(12:12):
you to research, but it's very speculative right now.
They envision that this is going to happen the date that at the conference they were
talking about was 2075.
So you know, we're talking 50 years away, which in the advancement of technology, that's
a long way.
A lot of things could change along the way.
That AI, it will surpass human intelligence.
(12:34):
What it will be able to do, we've tried to cure cancer for years and years and years
and with computers and humans, all of the data analysts or the analysis of the data
and all of the, you know, research, it really, it hasn't been as efficient as if we was to
(12:56):
hand it over to something that's super intelligent.
It could work with other computers across the world and it could come up with things
like what do we need to do to cure cancer?
What is it that's going to make life expectancy longer?
And it can tell you whether it's calorie reduction or whatever it is.
I mean, this is going to be far smarter than us.
(13:18):
And when I say smarter, it's the data and it learns from each other.
And that's the thing that we really need to think about.
General AI, the second one we talked about learns from us still.
Super intelligent AI will be learning from itself.
It will be learning, it will be giving you results and it will be monitoring and saying
(13:38):
that worked, let's do something different to even get better.
And it needs no interaction from us to have that happen.
And that is scary.
That's very scary AI.
We've got a lot of years before we really believe that's going to be out there.
We've got, you know, a lot of people trying to watch it and that's where trying to figure
out what is ethically okay and what is not.
(13:58):
Because we do not want to be, you know, we do not want to be slaves basically to AI and
I know that's one of the fears everybody has.
I also, I'm a big podcaster listening to them.
Dax Shepard, armchair expert.
If you listen to him, great.
If you don't, you should go out and at least listen to a couple episodes.
But he had Ashton Kutcher on there and it was an interesting thing.
(14:19):
This was, I believe, a few years back, but they were talking about AI and Ashton said
that his kids are growing up and he knows that his kids will be in the middle of all
of this.
So he said his thought is he's preached to his kids ever since they've been able to basically
type on a computer.
There's two decisions you've got to make in life.
(14:40):
Is AI going to work for you or are you going to work for AI?
That's an interesting topic and maybe one in the future we could talk through.
So there, I've hopefully I've simplified what AI is.
We are in narrow AI today, general still to come and super intelligent.
So I kind of want to clarify and give examples of what each of these is.
(15:03):
But while we're doing that, can we also talk about some of the misconceptions?
Because while you were talking, my head was going to some of the craziest places of, well,
we'll get to that.
It was going to some of the craziest places.
So let's talk a little bit about that.
Let's talk about daily examples.
(15:24):
We talked about the Netflix.
We talked about how the AGI could be an assistant.
Yeah.
So before or along with the misconceptions, let's talk about the real life examples today
though.
And you did talk about a few of them there.
You know, I've got friends today.
Well, I've got friends, colleagues even today that basically are against AI.
(15:47):
They're like, I don't want to use AI.
I'm not going to use AI.
You know, I'm afraid my information is going to get out.
I'm afraid that, you know, what if, you know, some other country is still in everything
that we're talking through.
I realized that if you are using anything, if you're using your cell phone today, you're
using AI.
You know, narrow AI is as little as autocorrecting text when you're texting back and forth with
(16:11):
family members.
If you are using the autocorrect feature, guess what?
That's AI.
If you're using Siri on your iPhones, you're using AI, it's going out and it's trying to
figure out what you want and give you the best results back.
If you're using Alexa, Google assistant, if you go into Netflix, Connie, have you ever
noticed when you go into Netflix, it gives you the recommendations?
(16:32):
Yes.
So what it's actually doing, it's monitoring what you watched and it's like, okay, they
like this, they like this, they don't like this.
But not only that, it goes out and it finds people that are similar to you.
And what have they watched that they've liked that you haven't watched yet?
That's AI.
It is giving you results based off of these data and what it believes you're going to
(16:53):
like next.
So if you are on Netflix, guess what?
You're using AI.
Whether you want to believe that or not, you are.
Even Amazon, you know, if we go to Amazon, it's going to give us that suggested list
down there.
Hey, have you looked at these items while you're shopping?
That's AI.
Oh, interesting.
So that brings up a point when you said it's looking at all the data and trying to figure
(17:16):
out what's similar to yours.
I would have thought that fell under that AGI.
So tell me the distinct difference there.
The distinct difference is it has a very specific task.
And it's a task that Netflix programmers or whoever it is has told it to do.
I want you to do this, this and this.
Narrow cannot think on its own in a sense.
(17:39):
General is going to have some abilities to think on its own.
So I mean, once again, if you've got an assistant at work, you provide them a few things and
they can go work all day and bring your results back without you having to tell it, I need
you to do this now.
I need you to do this now.
That's what General is going to be able to do.
It's going to become your assistant and it's going to be able to learn what you want, what
(18:01):
you need and produce those.
I mean, we work in AI all the time, Connie, whenever we're even producing some of the
stuff on our episodes as far as cleaning the data up or I mean our voices up.
That's all through AI.
The imagery that we created, we come up with some images and we said we want it kind of
(18:21):
like this, but guess what?
AI created that.
Imagine if we said, okay, we're getting ready to do season two.
And when you say we're going to do season two, imagine your assistant says, hey, let's
change some images here.
Here's a few that we would recommend.
Here's some episodes we think that would do good based on what you did last year.
(18:42):
That is AGI that's not there today.
It would be giving you recommendations without you asking for them.
Interesting.
Okay.
I'm just sitting here thinking once that AGI comes out from a business standpoint, what
businesses and this could get scary unless these businesses figure out how to use this
(19:02):
to their advantage, but I'm sitting there thinking I use accounting every day.
I use, I mean, I have to be aware of the law every day, marketing, you know, all of those
things to a certain extent that AGI could take over a lot of that.
Is that what you're telling me?
Yeah, absolutely.
AGI is the future and it's not a future I think that we should be worried about today.
(19:25):
The superhuman, which if that even really happens, you know, once again, that's very
speculative whether it's going to happen.
The AGI is where we need to watch, but individuals need to start at least playing in AI.
And you know, there's countless places you can do a chat GPT.
I think you know that one, Connie.
(19:45):
Yes, chat GPT.
There's one called Claude.
Dally, which is I think it's D-A-L-L-E, I believe.
That creates imagery.
There's one out there, I don't even remember the name of it right now, that will do somewhat
professional pictures.
And if you were on my Facebook, you would have, I threw some out there that I had AI
(20:06):
generate that are real, it looks like photos.
But what you'll notice is today it's got one may have six fingers instead of five.
It's just, it's not there.
Well, and you see those ads on Facebook where it says, you know, upload your face and it
will make a professional picture for you.
Yeah, well, and to tell you the truth, you can go on one today and I don't remember the
name of it either, but you start talking into it and it can mimic your voice.
(20:31):
And whenever you go to do training, what you can do is you can write a script, your own
script and it will talk that whole script to do training videos in your own voice.
But that's also the one that they say people are using to pretend like they've kidnapped
somebody.
Is that correct?
Yes.
(20:52):
So you know, you always take the precautions.
Yeah, everything's scary.
I mean, the thing is with your voice, I mean, how many people have been around where we
have, what are the people that can mimic other people's voices?
I don't even know what that.
Like ventriloquists or I know what you're talking about.
(21:12):
Yeah.
I mean, there's always been people, whatever the Carrie's name is that always did the presidents
and stuff like that.
So it's not that AI is going to be able to duplicate your voice, but it's not going to
duplicate you.
I guess that's what I'm saying.
So there's always been people out there that could do your voices, at least for certain
(21:33):
people.
So I'm not as concerned about that.
You know, what I'm concerned about in the future is the ethics of it determining whether
something should happen to a society or not.
And that's where we get into the superhuman.
And we're not there.
And I don't even think we need to go down that path yet.
Well, you say that, but can I ask some questions about it?
(21:56):
Because we're thinking like, when you bring that up, I think of the Terminator movies,
of course.
Sure.
But as I sat there and thought about it, I thought, well, wait a minute, computers can
take over technology.
Yes.
But what if we didn't create robots?
What if we just had computers and or even the robots that couldn't work?
(22:20):
I mean, to a certain extent, there has to be some human involvement.
Tell me if I'm wrong.
Because if we all destroyed all of that and went back to 1850s, we would start over.
Is that correct?
Or is there a way that that could get through?
This is hypothetical.
No, I know exactly what you're saying.
(22:42):
So there is this, they call it the pivot point to where it doesn't need human interaction
anymore, to where it's controlling manufacturing facilities, it's got robots that can build,
forklifts that can drive on its own.
It could basically produce whatever it needed to produce without our interaction.
And that's that pivot point that you worry about.
Yeah.
(23:02):
That's a long way off.
That is, it's a long way off.
And the reason I think it's important that people get involved today, you need to understand
where we're at.
And as it goes on, understand where it's going and help people understand where it should
stop because we don't want the top guys that's in tech to make that decision.
(23:24):
Believe it or not, I do believe we will get to a point that you see some of this on ballots
that we will be voting on.
This is the reason I do believe it's going to be important.
You need to understand it.
You need to get involved in it.
Take precautions, but I think everybody needs to have at least an understanding of, in my
opinion.
So tell me how AI has helped you personally in some of your personal life, your business
(23:51):
life.
Just give some examples so I can create this picture.
Sure.
It was funny.
I was introducing AI to Ellen, and she's honestly probably one of the smartest people I've been
around.
Even on tech, she'll say she's not, but when she gravitates towards something, she can
learn it very quick.
I think everybody in her family is that way, which is crazy to me.
(24:12):
So I showed her AI, and I just showed her some little stuff, and she said, well, I wonder
if it can do this, which is something I didn't even think about.
And she said, create a story about a small town veterinarian because that's what she
is.
And she just, this whole path, it created her like a five page story on her life.
So imagine if you are at work today and you are trying to, you write an email and you're
(24:38):
like, okay, for me, I'll tell you where I use it.
I know I want to make sure my grammar is right because it can be terrible.
I know it can be.
So whenever I'm writing all this stuff out, what I will do is I will, if I'm writing something
that's going to be released out to the public, I will push it into AI and I write two things
in there.
I will check grammar and wordsmith this, and then I paste inside my AI agent and I say,
(25:04):
and I click enter.
What it does then is it will go through and it'll say, oh, let's change this word.
You need a comma here.
And it will go ahead and even give you a wordsmith, which is changing the way it believes it flows
better.
90% of the time, I love it from there.
Sometimes I'll go in and critique it a little and then I release it.
(25:24):
But you know what?
It's like my editor.
I know everything's right then as far as the grammar of it.
Another thing you can do, it's called personas.
So in AI today, once again, we're in narrow.
When you build a persona out in a channel, you can say, I am a tech professional in this
industry doing this, this, this, this, and this.
And you can say, what I need you to do is create me, whatever it is, create, go out
(25:49):
and search this website.
Give it a website www.ourlifebeyond.com, which I wouldn't search that one, but a good website.
Give me the information that tells me, you know, what's the hottest stocks today?
What stocks have done this?
Whatever you want it to do and hit enter, it will go out and it will look, it will search
that whole website.
(26:10):
It will get the data you want and it will bring it back to you within 30 seconds.
So if I'm doing research, I will start in AI with my research.
Now I will say this, AI will, all of the clients that you go to will say, you know, these,
we don't know they're true because it's just searching the internet.
So do realize that you still have to go out and look and make sure and verify some of
(26:34):
it's true.
You don't want to just take what they say and say, oh, it's got to be the gospel.
If we look on Facebook and everything else, we know everything we see is not necessarily
true.
But it's a start.
It's a place to start.
Absolutely.
And if you build that persona, the next time you go in there next week, it already understood
everything you did before.
You can start building and keep building this thing out to where basically you have an agent
(26:58):
that knows you, knows the websites you want to search, knows every, I mean, you're building
out basically an admin, but it's very specific task oriented and what you need at that time
because it's narrow.
And you just go out and you type, okay, you've done all this research from above, include
this now, summarize, do this, do this, and it will build these out for you.
(27:18):
I use it, if not every day, at least every other day, but honestly, I think I use it
every day.
Yeah.
And I have started using it.
So I use chat GPT and the only thing I've really done is like the proofreading, but
I will tell you, and this is so sad, my memory as I have gone through menopause has just
(27:39):
bit the dust.
I can't, I've always been great with my words.
I have been great at putting something together and I can't do that now.
And so a lot of times I will go to chat GPT and it writes a beautiful thing.
And just recently, Jeff and I had an anniversary and I wrote a horrible anniversary letter
(28:02):
to him.
I was like, this doesn't even sort of portray what I'm feeling and what I want to feel.
And I did put that in chat GPT and then I put some commands and it wrote a beautiful
letter to him.
And I was so thankful where some people will be like, well, that's not real.
It actually said what I wanted to say.
(28:25):
It is real.
I can't think of it.
Yeah.
Connie, it's real because you have to put the parameters in there.
You have to tell it what you're trying to get the points across.
I mean, I go back to, if we go out and look at all the books today, I just read the Elon
Musk book.
Guess what?
It's not wrote by him.
It's wrote by somebody else based on his life.
(28:45):
AI is the same thing.
We tell it what we want and we get a more perfect example of what we want to demonstrate.
It's the shadow writer kind of.
It absolutely is.
We've done it for years.
It's just people aren't comfortable with a computer doing it instead of an individual.
But hey, guess what?
I get $10 bucks a month, I get an assistant.
That's right.
(29:05):
Which is pretty cheap for me.
So what would be your recommendation if somebody wanted to start trying AI?
Let's transition into AI.
I'm a beginner.
What do I do?
So first of all, I already talked chat GPT, which I think I introduced that one to you.
That's probably the most popular one out there.
(29:26):
It's not the only one.
It's free.
Go in and create it.
If you've got a Gmail account, you can even use just say use my Gmail account, Google
account and it'll set it up for you.
It's 100% free for $20 a month.
It builds upon it with a few other features much quicker.
You can do a few more things, but don't pay for anything now.
(29:46):
Go out to either chat GPT.
Microsoft has one.
If you have Windows 11 Pro, it's interesting.
Microsoft is called Co-Pilot.
It actually now is on your taskbar.
When I'm at work, I can go click on the taskbar and say check grammar, wordsmith, paste this
in there and it just gives it to me right back.
So Co-Pilot is one.
(30:07):
Once again, it's free.
If you really like what you see and you really want to get farther and you're like, how can
I do more than just that?
In chat GPT, what you do, you have to, because it's narrow, it is very specific.
You have to add these services to it.
One of them that you can add is called Dolly.
D-A-L-L-E, I believe.
(30:27):
But you add the service in there and if that service costs you, you have to pay Dolly.
If it doesn't, it could be free.
I think mine's free.
But from there, you can say go to Dolly and now create an image.
So you start building out your own AI the way you want it.
Gamma is another one.
What Gamma does, imagine you've got a Word document that's got 2000 words on it and you
(30:52):
somehow have to present this in front of an executive board.
You can go into Gamma and say I'm presenting in front of an executive level team.
I need a 40,000 foot view of this and you upload that document.
PDF is the best.
You upload it and when you upload that document, it analyzes it and it will create slides.
(31:13):
You can tell it to create 10 or 5.
It will create slides from it that you can present.
It will put graphics in there.
There's one out there and I don't remember the name of it right now that will do videos
for you.
And what I mean by videos, it will be a 3 minute MP4 video and you can actually say
I want to buy iStock pictures, which you have to buy.
(31:33):
You put your credit card in there and you allow them to purchase pictures for you and
it will build out videos.
It could even be training videos based off of either a presentation you upload.
I mean, honestly, the sky's the limit with what you can do as you can imagine from what
I've said.
But just start at the basics and understand that where you're starting today, it's going
(31:54):
to get so much more advanced every day it does.
So like I right now use chat GPT.
That's it.
And I just use it for the proofreading or helping me write something.
But ultimately, as I get more advanced, I could use this to create a Microsoft office
type thing for myself.
Like just put what I need.
(32:14):
It's going to help me do those things and eventually it will get even more advanced
in the coming years.
Yeah.
And the thing I want to caution you, don't put a bunch of personal information up there
because computers are learning from what you say.
And not only that, you're building it's kind of this neural network basically.
If this AI agent doesn't understand or know, it's like a brain.
(32:37):
It goes to the next one.
It says, do you understand?
Do you understand?
Until somebody comes back with the result.
And then as it comes back up, each one of those learn.
And you don't want all your personal data out there.
Even the company I work for, they are very big.
We have a very big policy about what we can use AI for and what we can't.
The general one on the outside.
(32:57):
Now today what's happening, these large companies are purchasing like an instance of chat GPT
and they're putting it behind their firewall.
And what that does, anything that you are asking, it can search everything within the
organization and it can also go outside and find things, but it will not give any of your
results to the public.
(33:18):
So it's protected, so all that intellectual property.
But most very small companies can't afford that because it's very expensive to buy one
of those and put behind a firewall.
But that's where these companies are going.
Interesting.
But just be careful.
Don't go out there and throw your medical records out there and social security.
Understand that it's almost like doing a Google search.
(33:41):
You just want to be careful.
Got it.
Good to know because I have heard that if you get the paid for version of chat GPT,
you're much safer, but that actually is not the case is what you're saying.
I don't think so.
I think you get more processing and some stuff.
I think in the future, and I do want to talk a little more about the future of AI, what
I learned at the conference I went to, but I think in the future you're going to be able
(34:04):
to pay for safer versions that may protect your stuff.
I don't think it's there today, Connie.
Okay, great.
All right.
Tell us what else you learned.
Yeah, so I get excited about this.
You know I do, Connie, because I talk to you about it all the time.
So these are some of the things that they are looking at futuristically, and this is
going to scare people, and I know it is.
(34:25):
We talked about job loss.
There will be job loss, but there will be jobs that will be created also from it.
So some of the job losses, it's not really a loss, but one of the things that they showed
and they kind of demonstrated is imagine if our commercial airplanes are flown by AI.
I'll leave that for a second because everybody's like, holy shit, I don't want this computer
(34:46):
controlling it.
Okay, think about this though.
In the military today, they use drones to do all these strikes and everything.
There's not a pilot on that plane.
The drone, the pilot is back in a control room monitoring it.
They believe, some of the professionals, that what's going to happen is I'm not going to
(35:07):
take one of the airlines because I don't want them to say I'm taking their ideas, but imagine
an airline puts one of these behind the firewall where nobody can steal their stuff.
It's just like their servers.
They build out every time a pilot flies, it analyzes it, which it can or will be able
to.
It can correct or you can help direct if this happens, it should always do that.
(35:28):
You know, they're pilot errors.
We're coming down with a crosswind.
We all know that we've got to do rudder this and all this stuff, but there's pilot error
that could happen.
With AI, it will know exact circumstances if it's above a 14 mile on a crosswind.
We do this, we do this for the best landing we can get.
It believes that it will react better.
(35:49):
If it makes a mistake, it won't be a critical mistake, but if it makes a mistake and it's
a hard landing, guess what?
It will correct its algorithms and it will push that update to all 25,000 aircraft out
there to not do next time and it will continue to learn.
It's just like the autonomous driving cars.
I did one in San Francisco.
Well, I did tons of them.
(36:10):
I'm not even in the driver's seat and it drives.
We're going to have to get used to this stuff.
Another one, so that's on the pilot.
What they believe is going to happen is you're going to have a pilot in a control room that
is monitoring probably 10 or 20 aircraft or maybe it's five, whatever they decide, but
the pilot's going to be able to override things, going to be able to tell it to do things,
(36:31):
but they believe be a better experience for the customer.
Another thing they said, look where all the lawsuits are coming from today.
That's where people are going to want AI involved.
One of them is in the medical.
They believe that in the future, what's going to happen is you're going to be able to go
in and say, I've got to have a gallbladder removed or I've got to have heart surgery
(36:51):
or whatever.
You're going to be able to pick a doctor or a robot with AI that can do it.
I know everybody's going to go, oh shit, nope, I want the doctor.
What's the benefits?
What's the drawbacks?
AI is going to be cheaper.
I'll just tell you because it's not an individual that has to have a $400,000 a year salary
out of it.
With AI, it's continuous learning.
(37:11):
What they're going to do is say AI can do it cheaper or you can get a human, but if
we use AI, it's going to be cheaper.
If they cut into you and they see something, what if they cut into you and they think something's
cancerous?
Today, the doctor usually will take a, I don't know, a sample of it maybe.
They stitch you back together.
They figure it out.
Later on, you may have to have another surgery.
(37:32):
They're saying, what if AI, when it goes in there, it sees something and it can do 3,000
tests within 45 seconds on it to know is it cancerous or not?
This needs to be fixed.
This doesn't.
It can actually react and be a specialist in more than just heart.
It could actually be a cancer doctor, a heart doctor, all at once.
You have to make the decision whether you want that or not, but it can be.
(37:56):
I'll give you the final one and we can go on.
I get excited about this, of course.
Taxes.
Everybody hates taxes.
Everybody hates tax attorneys.
I was going to say, if I can get rid of my accountant, which let me tell you, as people,
I love them, but if I could get rid of my accountant, well, my accountant and my attorney,
I would save a crap ton of money every year.
(38:17):
Well, and the thing is-
Well, if I could get rid of the IRS, let's start there, but-
Yeah.
The thing is on taxes, what if we can feed an AI agent every law book, and honestly,
it'll take it a matter of 20 minutes to go through every law book and learn it, and then
from there, you've got an assistant that every company can have their own law assistant,
(38:38):
basically, that you just go in and say, I need this.
I need my taxes done.
I need this.
I need you to make sure that everything's good.
I don't want to be sued.
It will determine by law, and you're going to be able to take this if you was to get
sued and say, look, we followed all of these laws.
There's not a tax attorney out there today that can do every kind of, I say tax attorney,
(38:59):
attorney in general that can cover all the things AI will be able to.
Now, today, do I think they're going to get rid of those people?
No.
I think in the beginning, you're going to have access to that, but you're still going
to want to go and get it verified by your tax attorney or some other kind of attorney.
But in the future, it's going to be less and less needed.
And the reason that's big, if you can prove what you've done in court, and AI is going
(39:22):
to have step-by-step instructions, then you can prove that you did the best practice.
Everybody gets sued all the...
Well, I say everybody.
A lot of places get sued for medical.
We know that.
Malpractice.
What if the AI can prove every step it done and it did the best approach based on all
(39:42):
the data that's in the world today?
It's going to be hard for you to sue or for individuals to sue saying it was malpractice.
So that brings up an interesting topic in and of itself because that sounds like the
white collar workers could get phased out by AI.
What about the blue collar workers?
Because I'm thinking, in my business, I use plumbers, I use framers.
(40:06):
Every ounce of construction, the only thing that would get phased out is maybe their office
work.
Their office, where they're buying stuff from.
They need to go in the lumber yard, what if they can be on site and they've got an AI
agent and they can say, I need a pallet of this, I need this, I need this.
They don't have to make a phone call or do anything and it shows up and give me the best
(40:29):
price.
Which, let me tell you, that would be amazing because I've seen so many people in those
blue collar jobs that do a terrible job with their office work, but they're amazing with
their hands on.
That would free them up to be the absolute best they could be.
I love that idea, actually.
You know AI, whenever we're talking about job loss, I think there would be more white
(40:52):
collar job loss than blue collar.
The misconception is every programmer out there is going to have worked for the rest
of their life because of AI.
Today, you can go into AI and, well, they're using it today to get snippets of code.
You can go in, you can actually take the code that you have, import it in and say, where's
my errors?
Because it knows C sharp, it knows Python, it will go in and find any errors.
(41:14):
You can also say, I need a snippet of code that will do a time, based on time, will do
this, this and this.
It can actually create it in whatever language you want.
You grab it, you put it in.
Where I'm going with this is sooner or later, programmers are going to have to upscale and
they're going to be like system architects in a sense, not software architects.
(41:34):
They're going to have to be the one that's directing AI, what it needs, what's viable,
what's not, all of the stuff.
Interesting.
Do you have a place for people like me?
Do you know of any place that you can go online and start learning about AI or anything like
that?
I know of one that I went on and started doing, but do you know of any?
(41:57):
The thing is, we have to be careful because AI is still so hypothetical.
If you're not careful, we all know the internet's full of a lot of good stuff and a lot of bad
stuff.
If you do go out and search, every day it's changing, AI is.
Tomorrow there may be a new AI service that does something that you really like.
Just make sure that you're not getting it from Facebook because that's bullshit and
(42:19):
we know it is.
Go out, find something that's from a tech, a rep called tech site, and just do some searches.
Do some searches on ANI, which is the artificial narrow intelligent, AGI, and where it's going.
Grab one of the, like I said, go to ChatGPT, go to Copilot or Claude is another one of
course.
(42:40):
Go get a free, just go get a free subscription of it.
Don't think it's automatically going to download all of your shit and next thing you know,
all your stuff's going to be on there.
It is not.
It is like a Google search type of thing, but it's persona based.
If anybody needs help with that, of course, I'd love for them to message us and we could
talk more about that.
Scott can talk more about that.
(43:01):
Well, you can too because believe it or not, you're a lot more capable than you think.
That's absolutely true.
You are right.
Let's close it up because I do know we're getting close to time, but I want to, before
we close up, I want to talk about why it's so critical to stay involved in AI.
Yeah, let's talk about that.
Okay.
So I'm going to go out to companies, two companies that everybody probably out in our listener
(43:27):
group will know.
Let's talk about Intel and Nvidia.
Nvidia probably if, especially 10 years ago, that was the graphics card.
You go buy an Nvidia graphics card, Intel, you probably have a little sticker on your
laptop computer that says Intel.
So Intel never really got into AI.
(43:48):
They are, they are CPUs and believe it or not, CPUs are the criticalest thing for building
out AI.
I won't get into the specifics of parallel processing versus this and why one's better
than the other, but Intel never really got involved in it.
Nvidia on the other hand, they did have a leg up because their GPUs are parallel processing.
Which is better for it, but they jumped head first into it.
(44:10):
I know people that work at Nvidia and the stuff they were doing.
I'm like, this is, they were doing stuff three years ago that we see today that we never
envisioned happening.
Intel kept producing chips, kept producing chips.
Well, if you would have invested and bought 100 shares of Intel five years ago and you
would have bought 100 shares of Nvidia five years ago, guess which one you would make
(44:34):
money on?
Well, I would, I would imagine based on what we're talking about Nvidia.
Yes.
So Intel in five years, they declined by 45% stock market wise.
Nvidia, if you would have five years ago, 100 shares, they've grown by almost 500%.
(44:55):
500 splits and splits.
I know people that have Nvidia stock.
I'm jealous.
The reason, the reason I kind of wanted to close with that, everybody follows the money
companies do.
AI is here to stay.
It's not going away.
I don't care if you say it is, it's not going away.
You can buy tractors that you will produce more results on your fields with it.
(45:18):
Everything you can, it's everywhere today.
What I'm saying, let's not be afraid of it.
Let's not be scared of it.
Let's understand it and help figure out what that future looks like.
Because I do believe that the world's going to help determine where we go.
Absolutely.
And this is, yeah, like you said, this is here to stay.
It is.
We need to learn about it if we're going to stay ahead.
(45:39):
And that's obviously, we want our listeners to stay ahead of the game.
Our whole podcast is about transitions.
And I know in the beginning people probably thought how in the hell's AI fit into it?
Our whole life's going to transition because of AI.
You are going to have to figure out little nuances about your job.
If you have an office and you're not using AI today, your competitors are.
(46:01):
Or if they're not, they should be.
And I can promise you, you can do far better if you're using certain aspects of AI.
Absolutely.
Well, thank you so much for sharing your knowledge with us.
You have taught me to not be afraid of it and to actually start using it.
And I have loved it.
Because again, it makes my life much easier.
(46:22):
So I hope our listeners are either advanced in it like you are, or if they are not, they're
willing to go out and try something.
Start with chat GPT.
It was so simple to use.
And just play around with it for a little bit.
But like Scott said, don't put in personal information.
But I will guarantee you love it.
Yes, I will too.
So thank you so much for letting me talk about this, Connie.
(46:44):
I've got a passion for it because this is what I live every day.
And being able to at least explain this to people, I think will help them going forward
in understanding it.
Yes, I think so too.
Well, thank you so much.
And we will talk to you next week.
Okay, thank you so much for listening to this episode of Our Life Beyond.
(47:04):
We really hope that you found our discussion insightful and inspiring or at least brought
a smile to your day.
If you did enjoy this episode, please consider subscribing to the podcast on your favorite
platform and leave us a review.
For more information, resources or show notes, visit our website at our life beyond.com.
You can also follow us on social media.
(47:25):
Search for us on Facebook at our life beyond.
We would love to hear from you, our listeners.
So feel free to reach out with your questions, comments or suggestions through our contact
us page at our life beyond.com or on social media.
And once again, thank you for joining us on this journey.
Until next time, remember life beyond any challenge is possible and we're here to navigate
(47:48):
it with you.
Stay strong, stay positive and keep moving forward.
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