AI at Work: The Risk No One Warned You About. Part 4

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And I think Terry, you, you were
just mentioning right before the

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show that Jim and I now has an
ability to take text and create

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a video.
Is that?

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Right, yes, yes, yes.
So I was planning around I'm

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like, hey, what are all the
tools I get with my, you know,

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Google Workspace subscription?
And I'm looking through I'm like

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most of these I use I'm like
vid, what is that?

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And so I start playing around
with it last week and creating

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some, you know, content and
yeah, I said, hey, create me a

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one minute video on HIPAA and
and and privacy.

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And I was astonished with what
it delivered.

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Like wow, that this.
That this is the future.

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Y'all, y'all have to get on
board with this.

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You can't just say, oh, you
know, that's for the kids or

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whatnot because you look up at 5
years and this is part of your

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job and you have no idea how to
use it right.

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So that's what he meant by I
don't believe what anyone says

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because I may ask you a question
and you're going to give me a

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very confident answer based on
what you thought I said.

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But let me probe that a little
further to say, OK, so this is

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what I heard you say.
Is this what you meant?

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No, that's not what I meant at
all.

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Exactly.
Exactly.

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Exactly.
In in human terms that in in in

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ChatGPT terms, that is an
hallucination.

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That person gave you a confident
answer back.

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Good.
That's a great example, yes.

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Right.
So, but we have to drive in why,

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why did we most likely ask that
follow up question?

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Because of our experience and
our knowledge and our

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understanding on what it is
we're talking about.

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And we like, oh, I heard that,
but I don't know if that was

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quite what I was looking for or
they didn't seem as confident in

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that answer.
And they were kind of all

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around, you know, kind of all
around the question without

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really answering it directly.
So it's no different right than

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when you talk with a human being
the first time someone gives you

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a quick answer back, you're
like, OK, you know, let me dig

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into that a little more.
It's the same thing guys.

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So that that principle of trust
for verify it it still exists.

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That's perfect.
That's perfect.

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It's perfect.
It's perfect.

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And here's a here's a pro tip,
pro tip for using these these

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Gen.
AI tools.

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And I don't know how many people
really have caught on to this.

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I've caught on to it because of
the workflow that I do and it's

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been extremely helpful feedback.
OK, what, what, what do I mean

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by that?
When you ask it to give you

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something specific, right?
You take the time to create a, a

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really well thought out prompt
and you ask it to give you

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something very, very specific.
The next question I ask it is

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give me feedback on what you
just gave me based on what I

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asked you.
It will review it and say, you

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know what, you're right, I
missed this.

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Let me correct that for you,
right?

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And I'll go through that
feedback loop until it's

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perfect, right?
So, but most people don't really

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realize that Chachi BT can do
feedback on itself, right?

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You know so pro tip, put that
into your prompts, right?

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So like the prompts that I have,
well, I may have like 4

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different sections and I'll say
pause when you finish Section 1

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and don't proceed until I
acknowledge, right?

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And it'll give me what I know or
want and it'll say, OK, would

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you like to move forward?
I'll say no, I want you to give

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me feedback on what you just
what you just produced.

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And it'll say, oh, you know
what?

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I missed this and let me correct
that, right?

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Don't take it at face value the
first time, right?

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Take the time to review it
yourself, right?

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And you can even use the tool
itself to give its own feedback

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to improve the output, right?
So feedback loops are really

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important.
But yeah, no great, great trust

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for verify that that that really
sums it up, Terry.

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I think that's, that's, that's,
that's that's killer.

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And let's let's talk about the
second biggest, probably bigger

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than hallucination risk of using
Gen.

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AI, which is data leak, data
leakage.

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So data leakage is the number
one risk in using GI in using

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Gen.
AI because if you input

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sensitive information, sensitive
data into Gen. and shift AI

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client names, financial
strategy, that information could

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be stored, logged or used in
ways that compromise privacy,

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especially on free and unsecure
platform.

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So what?
So what does that mean?

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If you go and sign up for free
version of ChatGPT or free

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version of Gemini, it can do all
these wonderful things that we

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just talked about, but that the
Gen.

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AI model itself is what's called
a large language model.

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It basically think of it as a
big database of information.

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It's constantly training itself
to get better based on the

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information that's in that
database.

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When you use free tools,
anything you put into that tool

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becomes part of that database
that is now retraining and

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relearning on.
So what does that mean?

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That means that if you put
sensitive information in there,

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right?
Because a lot of people do this,

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they're careless.
They'll just put in, you know,

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documents for their company that
have sensitive information in it

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to get a response.
And they don't understand that.

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Now that data is part of the
large language model.

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And if other people who are
using the tool ask the same

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similar questions, that your
data will now come up.

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So now you have a data brief.
Please hear us when we say this.

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Do not do this, OK?
And it's very clear to

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understand when you use a free
tool that data is not private.

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So what you have to do is you
have to use it with sanitized

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data, right?
You have to use it with data

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that doesn't have any
particulars or specifics in it,

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right?
Once it gives you the framework

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of the output that you want, you
can copy that in and change it

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when you put it into, you know,
your, your company systems,

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right?
And I think there Terry, you

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well before we move forward, any
thoughts on that point there?

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Yeah, basically, man, it's
personal identifiable

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information, right?
Really, we just, we just have to

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protect it.
And you know, it's the, it's

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it's that sensitive information,
right?

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And yeah, just just be diligent,
right?

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Due diligence, Due diligence.
Yeah, yeah.

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So, so let's talk a little bit
more about how you can use Gen.

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AI tools with, you know, that
sensitive information.

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So each tool has its own level
or each platform has its own

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level.
You have the free version where

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everybody can get in and use it,
right?

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Again, none of that data is
protected, right?

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So never put sensitive
information into that.

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But then you'll have the paid
version, right, which they'll

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give you tools to protect your
data, right?

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You know, so Copilot, which is
one of the leaders in the

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industry, especially in
business, if you have a

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Microsoft subscription with your
company, that Copilot data may

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be secured, right?
You know, always check with your

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company to find out what it's
Gen.

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AI policy is that is critical.
You need to understand, OK, what

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is my company saying is the
approved Gen.

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AI policy for me to use with my
company's data?

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That could be the difference
between a data leak and

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termination, right?
This is very, very serious.

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You do not want to put your
company's data in a free tool

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because now you're accountable
for a possible data leakage if

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you did put like Terry said, PII
in there, right?

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But check with your company
again on their G and AI policy.

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Hey, do you, can I use G and AI
here?

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Can I not use it AI here again,
What you do at home, obviously

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is, is is your own personal
space, but you just want to be

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very mindful that you do not
save sensitive information in a

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a public Gen.
AI tool.

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Now, here's the thing.
There are some tools again, like

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the paid version of Jack GBT is
something that I that I pay for.

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It gives me the ability to tell
it do not use any of my data to

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retrain your model.
OK, so I pay to make sure that

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that doesn't happen, but the
free version doesn't have that

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capability, right.
You know, so definitely use at

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your own risk, but be smart
about it right?

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Do not put sensitive information
into to to Gen.

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AI tools unless your job is
giving you a sanctioned tool to

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be able to do that with SO.
Yeah.

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And I think ref only thing I'd
add to that too, right.

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And so some, some companies have
the ability to have data loss

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prevention policies that won't
allow you to do that.

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But here's what will happen,
right?

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If you hit that particular
control, then yeah, you may get

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an e-mail.
Hey, we recognize you, you know,

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were trying to place, you know,
some IP or PII into a, you know,

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some kind of AI tool that is non
sanctioned.

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Now, you know, more than likely
in that scenario, you you know,

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you're probably going to get a
warning.

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But what we want to do is
equipped you on the front end to

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understand how to use the tool.
There's no different than when

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you get behind the wheel of a
car, right when you first

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started, you know, being trained
to drive, you know, you stop at

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a four way intersection, you let
the person to the right go,

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right when you come to a yield
sign, that's not slow, that's

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not a that's not a rolling stop.
It's really like, you know, stop

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and look, then go.
So that's that's how what we're

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doing here, right?
These are just normal basic

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exercises that you do when you
get on the road of AI, right?

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So what what I want to do is
kind of normalize it in terms of

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this is what you do when using
these tools, right?

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Now that we're introducing you,
we're also introducing you into

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the framework of how to be safe.
No different than when you

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started getting online, right?
Don't click on, you know, don't

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go to websites that you don't
know right there, there.

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So this is no different than
that, right?

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So there, there, there are modes
and operations methods on how

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you carry out even on being on
Facebook, right?

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There are things that we taught
you or folks taught you how to

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effectively be on Facebook
without being scammed, right?

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All these kind of things.
So this is this is not for you

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to be fearful or afraid.
Feel like, Oh no, I'm being

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equipped.
So that's that's that's the main

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point I want to bring out here.
That's great that's great that's

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great so think about it like
this data leaks don't happen

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because AI is evil they happen
because people forget that AI is

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not private by default right so
you know think before you type

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you know protect your data you
secure settings right because

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gene AI is powerful, but you are
responsible for what you share

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right So don't don't forget that
that's.

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A very important point and then
so, you know, lastly, what what

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we wanted to cover was again,
tool that we use, you know,

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almost daily, which is ChatGPT.
You know, again, to Terry's

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point, you can there's ChatGPT,
there's copilot, there's Google

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Gemini, there's Claude, there's
a few others out there, right?

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You have to find the tool that's
best for you.

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ChatGPT was the first to the
game, right?

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They were the ones who created
Gen.

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AI 1st and and and beat everyone
else to the market.

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So they have a more mature
product.

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You know they have three
different versions, a free

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version, right, which you can
just go to chatgbt.com and sign

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up.
It gives you basic features,

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text generation, no web, no file
tools, no memory.

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If you sign up for the plus
version at the at the time of

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this recording, which was about
$20.00 a month, you get web

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browsing, file uploads, image
analysis, memory,

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personalization, access to Jet
GBT plug insurance, best use for

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daily pro use, content creation
and learning.

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That's the one I do personally.
I, I actually create images with

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it, right?
And it's pretty good when you

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get good with your prompt
engineering and you can tell it,

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Hey, I want this person to be on
the left side.

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I want the words on the right
side to be in bold.

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I want them to be centered.
I want them to be around this

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size font.
I want them to be this color,

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00:12:54,160 --> 00:12:57,640
right, you know, or a gradient
or in and I want this person's

226
00:12:57,640 --> 00:13:00,200
image to to have this type of
expression.

227
00:13:00,560 --> 00:13:03,200
You know, when you can get you
very granular down into your

228
00:13:03,200 --> 00:13:07,480
prompts, you create images like
that, that are they are so good

229
00:13:07,480 --> 00:13:11,000
that it would take me 10 times
the time to try to create that

230
00:13:11,000 --> 00:13:13,040
on my own.
And when I say that I'm talking

231
00:13:13,040 --> 00:13:16,000
about the nuance, I'm talking
about the shadow on the on

232
00:13:16,000 --> 00:13:19,360
certain side of the face, right?
That I wouldn't be able to just

233
00:13:19,360 --> 00:13:23,080
naturally generate myself right
so it it can definitely, you

234
00:13:23,080 --> 00:13:25,600
know, supercharge some things
there and I think Terry, you you

235
00:13:25,600 --> 00:13:28,240
were just mentioning right
before the show that Jim and I

236
00:13:28,240 --> 00:13:32,600
now has an ability to take text
and create a video is that.

237
00:13:32,600 --> 00:13:35,600
Right, yes, yes, yes.
So I was planning around.

238
00:13:35,600 --> 00:13:38,360
I'm like, hey, what are all the
tools I get with my, you know,

239
00:13:38,360 --> 00:13:41,640
Google Workspace subscription
and I'm looking through, I'm

240
00:13:41,640 --> 00:13:44,040
like most of these I use I'm
like vid, what is that?

241
00:13:44,680 --> 00:13:48,040
And so I start playing around
with it last week and creating

242
00:13:48,040 --> 00:13:52,320
some, you know, content And
yeah, I said, hey, create me a

243
00:13:52,880 --> 00:13:57,080
one minute video on HIPAA and
and and privacy.

244
00:13:57,600 --> 00:14:01,200
And I was astonished with what
it delivered.

245
00:14:01,600 --> 00:14:05,040
Like, wow, that this, that this
is the future.

246
00:14:05,040 --> 00:14:07,400
Y'all, y'all have to get on
board with this.

247
00:14:07,680 --> 00:14:10,560
You can't just say, oh, you
know, that's for the kids or

248
00:14:10,560 --> 00:14:13,600
whatnot because you look up at 5
years and this is part of your

249
00:14:13,600 --> 00:14:16,480
job and you have no idea how to
use it right.

250
00:14:16,560 --> 00:14:18,120
You got it.
You got to embrace this stuff.

251
00:14:18,120 --> 00:14:20,480
You got to embrace this stuff.
So, so great, great point there

252
00:14:20,480 --> 00:14:21,800
to ref.
Let me share a quick story.

253
00:14:21,800 --> 00:14:25,440
So Noah and I as a, as a part of
my, you know, I want to be a

254
00:14:25,440 --> 00:14:27,200
great dad.
This one, you know, I said, man,

255
00:14:27,200 --> 00:14:31,120
hey, Monday mornings are yours.
And so, you know, I, you know,

256
00:14:31,120 --> 00:14:33,920
we go out and we play 9 or he
plays 9.

257
00:14:33,920 --> 00:14:38,440
I just kind of walk and and
watch anyway, so we meet some

258
00:14:38,680 --> 00:14:41,040
just fantastic people every time
we go out and play.

259
00:14:41,040 --> 00:14:48,440
So I met a couple new grads this
past week and gentleman who

260
00:14:48,920 --> 00:14:52,600
graduated with a degree in
accounting and he was like, you

261
00:14:52,600 --> 00:14:54,760
know, man, I was kind of
concerned because I just

262
00:14:54,760 --> 00:14:59,040
graduated with accounting degree
and, and AI is out there and am

263
00:14:59,040 --> 00:15:02,160
I going to be obsolete?
And I'm like, again, same thing.

264
00:15:02,160 --> 00:15:05,840
I share the same thing.
Your expertise will be needed.

265
00:15:07,080 --> 00:15:09,720
You know, it'll be a while
anyway because of a lot of these

266
00:15:09,720 --> 00:15:11,680
companies, the processes are
manual.

267
00:15:12,760 --> 00:15:17,400
And so your ability to beef up
and, and, and, and be prepared.

268
00:15:17,600 --> 00:15:20,440
And he was like, I'm glad you
said that because he's got, you

269
00:15:20,440 --> 00:15:23,160
know, he's got some friends who,
who, who know who owns companies

270
00:15:23,480 --> 00:15:25,520
and here's and I, I love what he
shared.

271
00:15:25,520 --> 00:15:30,440
He says, yes, I've been going in
and volunteering are, you know,

272
00:15:30,440 --> 00:15:34,920
kind of interning with them and
looking at their processes and

273
00:15:34,920 --> 00:15:38,480
automating workflows.
He's like, I'm teaching myself

274
00:15:38,480 --> 00:15:42,200
as I go.
I'm like I said, son, you, you,

275
00:15:42,360 --> 00:15:46,880
you're doing it the right way.
You I could not, I could have

276
00:15:46,880 --> 00:15:48,640
gave the guy hug, to be honest
with you.

277
00:15:48,760 --> 00:15:51,960
I said, because that is that is
it right?

278
00:15:53,160 --> 00:15:59,080
Your your, your inquisitiveness
about it didn't stop with just

279
00:15:59,280 --> 00:16:03,840
let me, you know, see what I can
do or let me see you know, if I

280
00:16:03,880 --> 00:16:08,880
no, he put himself in a position
in a real, real world scenario

281
00:16:09,120 --> 00:16:15,120
where he could actually take his
skill set went to a place.

282
00:16:15,320 --> 00:16:17,400
Again, this was a, you know, not
everyone might have this

283
00:16:17,400 --> 00:16:20,520
opportunity, but he took
advantage of that opportunity to

284
00:16:20,520 --> 00:16:24,200
actually go in, look at
workflows, leverage his skill

285
00:16:24,200 --> 00:16:26,600
set and what he knows about
numbers and accounting and

286
00:16:26,600 --> 00:16:30,520
finance and start to automate.
I said, here's the benefit for

287
00:16:30,520 --> 00:16:32,240
you.
It's because he doesn't start

288
00:16:32,240 --> 00:16:36,720
his job until until October.
You get to go in there with a

289
00:16:36,720 --> 00:16:44,120
portfolio of AI prompts that you
can say, here's my AI portfolio.

290
00:16:44,120 --> 00:16:51,520
And it's a matter of just taking
the step, you know, getting in

291
00:16:51,520 --> 00:16:56,960
there, jumping in because again,
those who take the initiative,

292
00:16:57,240 --> 00:17:01,440
right, those who have the I said
for nothing else, when the

293
00:17:01,440 --> 00:17:07,240
conversation comes up, you will
be able to articulate in an

294
00:17:07,240 --> 00:17:11,040
educated manner and have
conversation about the

295
00:17:11,040 --> 00:17:15,200
creativity and how you've
leveraged it.

296
00:17:15,200 --> 00:17:18,319
Have you seen other business
leverage it, right?

297
00:17:18,400 --> 00:17:20,400
And that's going to open up
opportunity for you.

298
00:17:20,760 --> 00:17:24,240
So I mean, that's right.
I mean, it was a great example

299
00:17:24,240 --> 00:17:26,560
of it, right?
Firstly out of firstly out of

300
00:17:26,560 --> 00:17:29,520
college.
You know, I'm glad you brought

301
00:17:29,520 --> 00:17:32,200
that up, Terry.
People don't understand that

302
00:17:32,200 --> 00:17:34,560
those who want to go in the
track, technical track, right?

303
00:17:34,560 --> 00:17:39,400
This is for you. 2 things.
Your ability to upskill yourself

304
00:17:39,400 --> 00:17:44,000
in AI is going to set you apart.
So Meta, formerly known as

305
00:17:44,000 --> 00:17:49,800
Facebook, has been hiring a
super AI intelligence team,

306
00:17:50,560 --> 00:17:52,240
right?
So yeah, it may not have come

307
00:17:52,240 --> 00:17:55,480
across most of your radar, but
they have Mark Zuckerberg, the

308
00:17:55,480 --> 00:18:00,120
owner.
He wants to create the A-Team of

309
00:18:00,120 --> 00:18:03,240
the most elite AI producers in
the world.

310
00:18:04,600 --> 00:18:07,880
He contracted to pay somebody.
I believe it was 100.

311
00:18:07,880 --> 00:18:11,680
It was either 100 or $300
million / 10 years.

312
00:18:12,000 --> 00:18:13,080
This.
What about that?

313
00:18:13,840 --> 00:18:16,400
Right.
The the, the, the industries

314
00:18:16,400 --> 00:18:18,160
already understand that this is
where it's going.

315
00:18:18,360 --> 00:18:21,880
OK, to Terry's point in his
example with that young man,

316
00:18:22,400 --> 00:18:27,520
every company in the world has a
ton of inefficient processes.

317
00:18:29,120 --> 00:18:32,920
There's a, there's a sea of them
because we've all been doing

318
00:18:32,920 --> 00:18:37,440
things manually for so long.
If you could tap into AI and

319
00:18:37,440 --> 00:18:43,200
automate and, and, and be able
to produce efficiency, OK,

320
00:18:43,480 --> 00:18:46,440
efficiency, right?
Efficiency is a metric that's

321
00:18:46,440 --> 00:18:50,880
used to, to, to determine how
profitable a company is.

322
00:18:51,040 --> 00:18:56,160
If you can automate, you know,
processes that are inefficient

323
00:18:56,160 --> 00:18:58,920
and make them efficient, save
time, right?

324
00:18:58,920 --> 00:19:00,160
You'd be able to do these types
of things.

325
00:19:00,160 --> 00:19:02,760
That is value.
That is value that people are

326
00:19:02,760 --> 00:19:05,280
willing to pay you for today,
right now.

327
00:19:05,480 --> 00:19:09,560
And AI is so new that I mean,
you can go get AAI certificate

328
00:19:09,560 --> 00:19:12,880
right now and it'll put you
light years ahead of anybody

329
00:19:12,880 --> 00:19:15,160
else that's trying to do this on
their own, right?

330
00:19:15,200 --> 00:19:19,120
The opportunity is there, right?
That when I came into iti came

331
00:19:19,120 --> 00:19:23,880
into IT in the late 90s when
Windows NT was just going into

332
00:19:24,160 --> 00:19:27,120
businesses, right?
They, they were still using

333
00:19:27,120 --> 00:19:29,120
green screens, you know, at that
time.

334
00:19:29,120 --> 00:19:30,960
And so when they were switching
over from green screens to

335
00:19:30,960 --> 00:19:33,920
Windows, that's when I got into
technology.

336
00:19:34,080 --> 00:19:37,000
And I was able to ride that wave
in my career, right, because I

337
00:19:37,000 --> 00:19:40,240
stayed on top of the technology.
The businesses were moving that

338
00:19:40,240 --> 00:19:42,200
fast.
The education system couldn't

339
00:19:42,200 --> 00:19:45,280
catch up because they hadn't
learned how to educate people on

340
00:19:45,280 --> 00:19:46,800
this stuff.
I was getting technical

341
00:19:46,800 --> 00:19:49,280
certifications in this stuff.
The business is like, hey, I

342
00:19:49,280 --> 00:19:51,840
need that right now.
We'll pay you this, we'll pay

343
00:19:51,840 --> 00:19:53,040
you that.
There.

344
00:19:53,080 --> 00:19:55,560
There is another wave that's
happening right now and it's

345
00:19:55,560 --> 00:19:58,440
with AI, right?
You know, so I, I love to hear

346
00:19:58,440 --> 00:19:59,600
that.
I love to hear that example.

347
00:20:00,160 --> 00:20:04,440
Yeah, and and and wrap to your
point, right, that Windows, the

348
00:20:04,440 --> 00:20:08,200
beauty of what you did is as
Windows transitioned over the

349
00:20:08,200 --> 00:20:12,600
years from PCs, then it went to
virtualization.

350
00:20:12,840 --> 00:20:16,920
The foundation of it was still a
Windows OS, right.

351
00:20:17,040 --> 00:20:21,800
Then it went into Citrix, right.
Well, with Citrix, then

352
00:20:21,800 --> 00:20:27,160
virtualization, that foundation
that you learned in the early

353
00:20:27,160 --> 00:20:30,840
90s that carried you 20 years
bro.

354
00:20:31,080 --> 00:20:34,240
It did, it did and I, and I
recognize that it at the time

355
00:20:34,520 --> 00:20:37,000
and I like to say I was smart
enough to see that, oh man,

356
00:20:37,000 --> 00:20:39,120
there's this certain gap in time
and I'm going to jump into it.

357
00:20:39,280 --> 00:20:41,920
It's not how it happened for me.
I was just chasing my passion.

358
00:20:42,520 --> 00:20:43,920
It just happened to be at that
time.

359
00:20:43,920 --> 00:20:48,000
Now, now 20, you know, five
years later, I look back, I see,

360
00:20:48,000 --> 00:20:51,520
man, I got in, in a wave.
I got in a wave that actually

361
00:20:51,520 --> 00:20:53,000
opened up door after door after
door.

362
00:20:53,000 --> 00:20:57,320
So I could see that pattern
repeating again with AI, right?

363
00:20:57,320 --> 00:20:59,840
So if you if, if for those young
folks out there who are

364
00:20:59,840 --> 00:21:02,560
interested in getting into
something that's going to be

365
00:21:02,560 --> 00:21:06,120
cutting edge, that it can make
you a lot of money.

366
00:21:06,120 --> 00:21:07,520
And I'm talking about a lot of
money.

367
00:21:07,520 --> 00:21:10,960
I just told you the top people
are getting paid up to like $300

368
00:21:10,960 --> 00:21:14,200
million / 10 years.
No, but no, I've never heard

369
00:21:14,200 --> 00:21:16,000
anybody making that kind of
money in a job.

370
00:21:16,280 --> 00:21:18,600
Maybe a business owner, but not
a job, right?

371
00:21:19,000 --> 00:21:23,000
If you want to get into some
significant upside on

372
00:21:23,000 --> 00:21:26,280
compensation, AI is your way to
go.

373
00:21:26,280 --> 00:21:28,440
You just got to find your entry
point, right?

374
00:21:28,920 --> 00:21:32,440
But so so let's just talk about
the takeaways for today.

375
00:21:32,880 --> 00:21:33,840
Gen.
I Gen.

376
00:21:33,880 --> 00:21:37,240
AI does not think you do.
So you got to use it wisely,

377
00:21:37,720 --> 00:21:40,720
right?
Learn prompt engineering.

378
00:21:41,000 --> 00:21:46,080
Prompt engineering is needed to
unlock the real value in Gen.

379
00:21:46,160 --> 00:21:49,080
AI.
You really need that protect

380
00:21:49,080 --> 00:21:52,040
your company and your career
from data leaks, right?

381
00:21:52,040 --> 00:21:54,560
You got to be smart with your
settings and your tools and what

382
00:21:54,560 --> 00:21:59,000
you input into them, right?
And then choose a tool that

383
00:21:59,000 --> 00:22:01,720
meets your requirements, right?
Take a look at all of them.

384
00:22:02,000 --> 00:22:04,320
Try them out again, don't put
any personal sensitive

385
00:22:04,320 --> 00:22:06,760
information in them, but try
them out, you know, Start

386
00:22:06,760 --> 00:22:09,720
learning the prompt engineering.
You can do that, you know, for

387
00:22:09,720 --> 00:22:10,840
free.
The courses out there.

388
00:22:11,080 --> 00:22:13,560
We'll, we'll, we'll sit, we'll
put some links in the show notes

389
00:22:13,560 --> 00:22:15,880
for you to check out.
And there's just so, I mean, you

390
00:22:15,880 --> 00:22:18,280
can go to YouTube and look up
prompt engineering and Start

391
00:22:18,280 --> 00:22:20,800
learning right now, right?
And there's nothing standing

392
00:22:20,800 --> 00:22:22,560
between you.
There's no barrier to entry, I

393
00:22:22,560 --> 00:22:25,640
guess is what I'm trying to say.
But find the tool that works

394
00:22:26,160 --> 00:22:28,760
with and matches your workflow
and your privacy needs.

395
00:22:28,760 --> 00:22:30,960
But any any closing thoughts on
that too?

396
00:22:31,960 --> 00:22:35,280
Yeah, no Gen.
AI, man, that is a great place

397
00:22:35,280 --> 00:22:39,360
to start.
There are some other models

398
00:22:39,360 --> 00:22:43,480
coming out, but what we wanted
to focus on today was Gen.

399
00:22:43,560 --> 00:22:47,080
AI.
And you know, as time moves

400
00:22:47,080 --> 00:22:52,000
forward, we'll introduce the
other generative, I guess

401
00:22:52,000 --> 00:22:56,720
there's a gentic AI and that
does have an ability to be

402
00:22:56,720 --> 00:22:59,800
creative.
But we just wanted to give you a

403
00:22:59,800 --> 00:23:05,520
intro and a great place to start
because the majority of the

404
00:23:05,560 --> 00:23:10,480
opportunity right now for what I
would say just the entry level

405
00:23:10,480 --> 00:23:14,680
point is this generative AI.
So it's a great place to start.

406
00:23:15,200 --> 00:23:17,040
Absolutely.
Well, thank you as always.

407
00:23:17,040 --> 00:23:19,800
We appreciate you supporting the
show and listening.

408
00:23:20,080 --> 00:23:23,200
I always want to ask, you know
we want to hear from you, right?

409
00:23:23,440 --> 00:23:27,720
Go to our website,
leadershipsovereignty.com/survey

410
00:23:27,800 --> 00:23:31,240
and take our listener survey and
help us to improve the show for

411
00:23:31,240 --> 00:23:34,280
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412
00:23:34,280 --> 00:23:36,080
You can always give a donation,
right?

413
00:23:36,080 --> 00:23:39,040
Leadership
sovereignty.com/donate right?

414
00:23:39,040 --> 00:23:41,320
And until the next time, stay
safe.

415
00:23:41,360 --> 00:23:43,320
We'll talk to you.
We'll see you on the next show.

416
00:23:44,200 --> 00:23:47,000
Thank you for listening to the
Leadership Sovereignty Podcast.

417
00:23:47,280 --> 00:23:50,400
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418
00:23:50,760 --> 00:23:54,840
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419
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421
00:24:00,120 --> 00:24:03,920
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