102: How Embracing AI Can Transform Your Business & Daily Life with Csek Creative's Rob Cupello

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Welcome back to the Kelowna Real
Estate Podcast.

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I am your mortgage broker host,
Taylor Atkinson.

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How's it going, Morgan Freeman?
Oh, you knew who I was.

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Yes.

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At first, it sounded like him,

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then I thought it was maybe some
World War II era dude, but yeah, I

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like it.

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So on point with our show today,

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that's AI.

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You know, one of the many things

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you can do with AI, this is not
productive use of AI at all.

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But it's interesting.

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I thought it was pretty

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productive.

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Yeah.

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So we have on Rob, who honestly,
he put on a presentation.

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Well, like six, seven weeks ago at
a BC Lender Association conference

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for me.

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And he spoke about AI and it blew

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me away.

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Like some of the stuff that's

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going on is pretty cool.

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And I've always kind of been

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sitting on the fence.

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Like I think it's interesting.

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But what are your thoughts on AI
right now?

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Honestly, I'm trying to figure out
what jobs are not gone.

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The list kind of narrows when you
start thinking about it more and

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more.

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I think like the more hands -on

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are probably the safest.

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That's what I think about first

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thing.

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When I talk to people like this

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and...

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Learn about it.

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It's crazy what's happening.

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Yeah.

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Something that blew me away was
one, there was like an influencer,

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an AI influencer out of Barcelona,
I think, making like 10 ,000 euro

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a month.

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Image generated, everything's just

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AI.

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And you wouldn't be able to tell

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the difference, which I thought
was like pretty wild.

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And then the other one, he calls
them agents, but it's essentially

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like your virtual assistant.

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They can book travel, respond to

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emails, take phone calls.

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And the more you work with them,

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the more they... you know, get in
tune of what your needs are.

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And it's wild some of the stuff
that he can do.

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So yeah, Rob, he does a few
things.

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He'll do like six week coaching
courses or he'll come and do like

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a whiteboard session and, you
know, audit people's businesses.

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I think he has like a plumber that
he's worked with where the plumber

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just goes and he's a plumber now.

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And all his task management

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calendar, everything gets booked
and, you know, clients reach out

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and it's all AI generally.

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They just say like, what's the

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issue?
And basically the plumber wakes up

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in the morning and... goes and
does the job like stuff like that

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is pretty wild to me it's pretty
crazy because like ai is pretty

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good right now but like it's so
new pretty crazy because like ai

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is pretty good right now but like
it's so new But in a couple of

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years, the AI assistance, the
online ones, will be flawless.

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Especially texting.

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Calling, maybe not as...

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Calls are a little bit more
personal.

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I guess if you're just talking to
random people, booking

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appointments is not that big a
deal.

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But I'm not going to get an AI to
call you and see how your weekend

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was.

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Yeah.

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I don't think we'll ever...

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Well, who knows?

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don't think we'll ever...

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Well, who knows?

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But I don't think we'll ever lose
touch of that.

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People want that personal
relationship.

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Honestly, I think that might be a
skill to work on, to set yourself

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apart.

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somebody that can talk to other

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human beings.

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And I guess talk to other AI as

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well.

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Yeah.

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Yeah.

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What are you going to like prank

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call two AI bots and just have
them talk to each other?

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Yeah.

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Well, you know, maybe I will.

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YouTube.

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I bet you they'd figure it out

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within 10 seconds.

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They could figure it out.

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That means that other people, I
guess you could figure it out if

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you were talking to a bot or not.

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Yeah, I guess like whoever's not

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using AI right now, you know, get
out and play with it a little bit.

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I mean, chat GPT is the surface of
it.

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surface of it.

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It's funny you say that.

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I was talking to my sister was
just over for the weekend.

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I was like, so what do you guys
think about chat GPT?

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They're like, what's that?
Oh, really?

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No idea.

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Like none at all.

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And I'm trying to explain to her
what it was.

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Oh, really?
And like, I'm not good at

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explaining what AI is.

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I've learned.

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That's why we did this show.

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Just send her the link to the

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show.

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And there you go.

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you go.

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It's hard to explain how good it

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is and what it does to someone
that just has no idea.

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So I need to work on that.

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And I think, I mean, specific to

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real estate, there's a lot of
really good applications.

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You know, pulling data and CSI
maps and stuff throughout the city

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and figuring out square footage,
what to build and cost of things

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and foot traffic on commercial
places.

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Like it's just endless.

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The amount of data that's

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available that like would take
weeks and weeks for a company to

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do research.

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AI can do it.

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mere hours.

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You know what else I found just

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playing with it over the last,
since we recorded the show was

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like, if you don't even know what
to do, just ask AI, like, where do

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I start?
What do I do?

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Like, how do I use you to further
my business?

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Well, start with this.

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And then how do I do that?

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And I answer all those questions.

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Just like, once you learn how to

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use this, it's like, there's not
really a reason to not be good at

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it or like use it to full effect,
or at least it's not as full

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effect, but like.

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Yeah.

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Use it to have more effect.

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Yeah.

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Use it to teach you how to use it.

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Yeah.

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I mean, something I thought was
pretty funny.

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I still type, even though we had
this conversation with Rob, I

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still type in like, please, thank
you.

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Like I'm, you know, I'm very nice
to AI.

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And Rob was like, it's such a
waste of money because like the

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amount of power that like the
computers have to use to like

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process the please and thank you
and all like the gibberish you put

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in.

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So I think learning how to use

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like prompts and, you know, make
the proper requests is going to be

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really important.

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Well, as it learns from you, like,

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Yeah, it talks back to you the way
you want to be talked to.

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I guess if you like to use please
and thank you, it's going to start

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using them back to you.

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Yeah, that'd be good.

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I think the way I look at it is it
takes a large amount of time out

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of anything that I'm doing.

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the way I look at it is it takes a

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large amount of time out of
anything that I'm doing.

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Like if I want to build a
spreadsheet, I can get it to do,

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you know, 70 or 80 % of what I
want it to do.

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And then I fine tune it
afterwards.

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It's not going to be perfect.

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people right like most people if

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you ask them to do a job like
maybe it comes back great maybe it

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doesn't you just you build off of
that it does make mistakes so so

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for our hockey team i'm starting
up the hockey team and i took a

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screenshot of the cost so like not
even at the time i took a

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screenshot of the cost uploaded it
and said split this between 16

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people add the jerseys in add this
in and then give us a payment

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schedule so it did it all in like
seconds it was pretty cool like

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all off a screenshot a couple days
later i realized that the math was

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wrong like what does make mistakes
so so for our hockey team i'm

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starting up the hockey team and i
took a screenshot of the cost so

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like not even at the time i took a
screenshot of the cost uploaded it

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and said split this between 16
people add the jerseys in add this

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in and then give us a payment
schedule so it did it all in like

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seconds it was pretty cool like
all off a screenshot a couple days

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later i realized that the math was
wrong like what So they're not our

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overlords yet, but it's headed
that way.

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But yeah, double check it for
sure.

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But yeah, double check it for
sure.

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I think we should just jump into
the show because Rob was great and

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he's very accessible.

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So if people want to reach out to

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him and talk about this stuff, or
if you have a small business that

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you feel like you should be taught
some AI or implement some of it,

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he's the guy.

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Also, Also, AI is such a broad

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topic.

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Like even us, we're trying to keep

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it real estate related.

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And like, first question is, are

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we all doomed?
Right?

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So it's like, there's so much to
do.

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There's so much to hear about.

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It's like, this is just a... tiny

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little tip of the iceberg for what
it is yeah interesting still i

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mean we're affected by data right
like siri on your phone like

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there's so much stuff that is ai
that people probably just don't

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even think they're using but yeah
we are in some capacity so yeah

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yeah definitely anyways enjoy the
show guys all right and this show

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like every show is sponsored by
century 21 assurance realty we are

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residential sales commercial sales
mean we're affected by data right

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like siri on your phone like
there's so much stuff that is ai

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that people probably just don't
even think they're using but yeah

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we are in some capacity so yeah
yeah anyways enjoy the show guys

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all right and this show like every
show is sponsored by century 21

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assurance realty we are
residential sales commercial sales

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leasing, residential property
management.

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We do it all and we do it
everywhere.

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Southern interior, basically,
entire interior.

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We're there if you need us.

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If you're looking for an agent or

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you're looking for a new
brokerage, give us a call.

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All right.

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Welcome to the show, Rob Capello.

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How's it going?
Good.

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How are you guys?
Good.

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Did I butcher that or is that all
right?

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Do it again.

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Do it again.

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it again.

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Do it again.

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I love Rob Capello.

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Are you going to Italy anytime

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soon?
We're trying to go to Greece, but

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close by.

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Yeah.

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So Rob, like I'm so fascinated.

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You came and did a presentation at

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our BC lenders, like for mortgage
brokers a few weeks back.

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Right.

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I've seen a couple of AI

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presentations and they've been
like interesting, but I saw yours

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and you were just so passionate
and like, it just resonated me for

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whatever reason.

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So we had to have you on the show.

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Real like simple question.

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That's probably not so simple.

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Can you summarize what is AI?
Like, what is AI?

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And that's a great question.

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And I think it's funny because I

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don't think a lot of people even
ask that question.

255
00:07:01,310 --> 00:07:03,730
So it's a great place to start.

256
00:07:03,730 --> 00:07:08,070
But for me, AI, which is obviously

257
00:07:08,330 --> 00:07:10,050
artificial intelligence, what it
stands for, people that didn't

258
00:07:10,050 --> 00:07:12,870
know, really is technology that it
tries to mimic human intelligence

259
00:07:12,870 --> 00:07:14,330
is really what it is.

260
00:07:14,410 --> 00:07:15,090
It's technology that's learned.

261
00:07:15,090 --> 00:07:18,650
From data that we've all put into
the Internet, these tools have all

262
00:07:18,650 --> 00:07:21,050
been trained on the years and
years of everything we've ever

263
00:07:21,050 --> 00:07:21,710
done online.

264
00:07:21,710 --> 00:07:23,010
They'll make decisions and they

265
00:07:23,010 --> 00:07:23,510
get smarter over time.

266
00:07:23,510 --> 00:07:26,250
That's where I think where people

267
00:07:26,250 --> 00:07:29,540
are not understanding, like these
tools, as they learn, they're

268
00:07:29,540 --> 00:07:30,160
getting smarter.

269
00:07:30,160 --> 00:07:31,340
And right now they're testing

270
00:07:31,580 --> 00:07:32,460
higher than a human expert.

271
00:07:32,460 --> 00:07:33,700
Right now they can pass bar exams.

272
00:07:33,700 --> 00:07:34,060
They've surpassed human
intelligence.

273
00:07:34,060 --> 00:07:36,420
And for me, the best way to
explain from layman terms is think

274
00:07:36,420 --> 00:07:38,860
about you're hiring a really
consistent employee that doesn't

275
00:07:38,860 --> 00:07:39,200
need.

276
00:07:39,200 --> 00:07:41,180
Like that's really the best way to

277
00:07:41,180 --> 00:07:41,720
explain it.

278
00:07:41,720 --> 00:07:44,480
It's able to take on tasks.

279
00:07:44,480 --> 00:07:46,440
It's able to take on writing.

280
00:07:46,440 --> 00:07:48,560
It's able to take on having

281
00:07:48,560 --> 00:07:51,040
conversations, really depending on
what you're doing.

282
00:07:51,040 --> 00:07:53,500
And, you know, we're not talking
about robots right now.

283
00:07:53,500 --> 00:07:54,340
They're coming.

284
00:07:54,340 --> 00:07:56,780
These are just tools or tools that

285
00:07:56,780 --> 00:07:59,660
can really help you sort of
through the mundane tasks.

286
00:07:59,660 --> 00:08:01,880
But they're trying to sort of
mimic human intelligence is really

287
00:08:01,880 --> 00:08:02,620
what they're doing.

288
00:08:02,720 --> 00:08:04,920
But I always try to say, think

289
00:08:04,920 --> 00:08:07,100
about this as an employee that's
sitting beside you.

290
00:08:07,100 --> 00:08:08,780
That's what AI is today.

291
00:08:08,780 --> 00:08:09,620
in my mind, right?

292
00:08:09,620 --> 00:08:13,580
We can go down rabbit holes of
robotics and spaceships and all

293
00:08:13,580 --> 00:08:16,300
that sort of stuff, but let's
ground it to our community.

294
00:08:16,300 --> 00:08:17,740
That's what AI is.

295
00:08:17,740 --> 00:08:20,700
Last time I was talking to my

296
00:08:20,700 --> 00:08:23,440
wife, she was on ChatGPT and she's
like, how does this work?

297
00:08:23,440 --> 00:08:25,620
I'm like, well, it's a large
language model.

298
00:08:25,880 --> 00:08:29,420
Basically, it just scrapes all the
information from the internet and

299
00:08:29,420 --> 00:08:29,740
it works.

300
00:08:29,740 --> 00:08:31,140
She's like, well, how is that

301
00:08:31,140 --> 00:08:33,059
different than Google?
I'm like... I don't know.

302
00:08:33,299 --> 00:08:33,760
I don't know.

303
00:08:33,760 --> 00:08:34,640
I don't know.

304
00:08:34,640 --> 00:08:35,380
Ask chat GPT.

305
00:08:35,380 --> 00:08:36,880
It's funny you say that.

306
00:08:36,880 --> 00:08:41,080
Like I teach a class and at the
end of the class, I say all the

307
00:08:41,080 --> 00:08:43,780
stuff I just taught you, you could
have just asked chat GPT.

308
00:08:43,780 --> 00:08:46,700
So the difference to me, the
difference is that Google will

309
00:08:46,700 --> 00:08:48,760
give you typically, historically,
I search for something, it gives

310
00:08:48,760 --> 00:08:52,480
me a listing, right?
It doesn't add like much more

311
00:08:52,480 --> 00:08:53,080
value than a listing.

312
00:08:53,140 --> 00:08:55,020
Where chat GPT, I can say,

313
00:08:55,020 --> 00:08:57,540
summarize an email, create a
LinkedIn post, analyze this video.

314
00:08:57,540 --> 00:08:57,900
Here's my financials.

315
00:08:57,900 --> 00:08:58,480
What do you see?

316
00:08:58,480 --> 00:09:01,080
Can you go book my flight?
I'm going to Mexico, book my

317
00:09:01,160 --> 00:09:01,220
hotel.

318
00:09:01,220 --> 00:09:02,460
Like that's the difference between

319
00:09:02,600 --> 00:09:05,020
historical Google because you go
to Google now, a little bit

320
00:09:05,020 --> 00:09:05,180
different.

321
00:09:05,180 --> 00:09:06,100
They got AI embedded into it.

322
00:09:06,100 --> 00:09:09,560
If you guys start seeing that now,
even downloaded a PDF document

323
00:09:09,560 --> 00:09:12,360
today, Google Gemini pops up on
the side and said, here's a

324
00:09:12,360 --> 00:09:13,260
summary of this document you
downloaded.

325
00:09:13,260 --> 00:09:15,320
Would you like to ask it a
question, right?

326
00:09:15,320 --> 00:09:16,200
So that's AI.

327
00:09:16,200 --> 00:09:17,060
That's the difference between AI

328
00:09:17,060 --> 00:09:20,960
and what you do in Google, right?
But it's a good question.

329
00:09:20,960 --> 00:09:23,420
It's a valid question, right?
It's a valid question because it's

330
00:09:23,420 --> 00:09:25,660
information in, information out.

331
00:09:25,660 --> 00:09:27,020
How long has AI been around for

332
00:09:27,400 --> 00:09:29,980
and what is the catalyst?
Like in the last few years, it

333
00:09:30,440 --> 00:09:34,260
just seems like now it's so
mainstream, like everyone knows

334
00:09:34,500 --> 00:09:38,240
about it, but it's been around
for, what, 15 years?

335
00:09:38,240 --> 00:09:40,580
No, actually AI has been around
since the 50s.

336
00:09:40,580 --> 00:09:41,860
Oh, my God.

337
00:09:42,000 --> 00:09:43,900
It came out with the Turing test,

338
00:09:44,120 --> 00:09:44,660
it's called.

339
00:09:44,660 --> 00:09:46,760
So back in the 50s, there was a

340
00:09:46,760 --> 00:09:49,220
scientist, Alan Turing, that said
that he thought machines could

341
00:09:49,220 --> 00:09:49,500
learn.

342
00:09:49,500 --> 00:09:50,940
And he came up with this thing

343
00:09:50,940 --> 00:09:53,580
called the Turing test that they
used still today.

344
00:09:53,580 --> 00:09:55,680
It's a set of questions.

345
00:09:55,680 --> 00:09:56,340
You ask a machine.

346
00:09:56,340 --> 00:09:59,840
And you ask a human and the human
needs to decipher if it's a human

347
00:09:59,840 --> 00:10:02,240
or it's a machine actually
answering the questions called the

348
00:10:02,240 --> 00:10:02,740
Turing test.

349
00:10:02,740 --> 00:10:04,700
I use it today to test, but it's

350
00:10:05,660 --> 00:10:06,440
been around since the 50.

351
00:10:06,560 --> 00:10:07,840
I think the actual word artificial

352
00:10:07,840 --> 00:10:09,460
intelligence came out in like
1956, 1957.

353
00:10:09,460 --> 00:10:11,720
Don't quote me on it.

354
00:10:11,720 --> 00:10:13,140
We could ask chat GPT.

355
00:10:13,140 --> 00:10:15,020
It's been around for a while.

356
00:10:15,020 --> 00:10:16,400
So we've all used, you know, Siri

357
00:10:16,400 --> 00:10:17,740
on our phone.

358
00:10:17,740 --> 00:10:18,860
Like that's all AI.

359
00:10:18,860 --> 00:10:21,240
Like Netflix is all, here's the
movies you might like, Rob,

360
00:10:21,460 --> 00:10:22,800
because you watch these.

361
00:10:22,800 --> 00:10:23,360
That's AI, right?

362
00:10:23,360 --> 00:10:23,780
That's all.

363
00:10:23,780 --> 00:10:25,640
Like algorithms are kind of like

364
00:10:25,640 --> 00:10:25,820
AI.

365
00:10:25,820 --> 00:10:26,820
could of like AI.

366
00:10:26,820 --> 00:10:28,960
Correct, right?
It's powered by AI, but it's been

367
00:10:29,060 --> 00:10:30,280
around for a long time.

368
00:10:30,280 --> 00:10:32,820
And if you look at, I have a graph

369
00:10:33,240 --> 00:10:35,420
that shows sort of the history of
sort of what's happened, but where

370
00:10:35,420 --> 00:10:38,500
these tools have really expanded
is it needs massive amounts of

371
00:10:38,500 --> 00:10:39,970
data, right?
So it needs data.

372
00:10:39,970 --> 00:10:41,410
It needs processing power.

373
00:10:41,410 --> 00:10:43,670
I don't know if you guys saw the

374
00:10:43,670 --> 00:10:43,910
article.

375
00:10:43,910 --> 00:10:45,910
Every time we go into ChatGPT and

376
00:10:45,910 --> 00:10:47,550
say thank you and please, we're
costing thousands of dollars.

377
00:10:47,550 --> 00:10:48,070
Because it's processing.

378
00:10:48,070 --> 00:10:49,270
Every time you type something into

379
00:10:49,390 --> 00:10:51,470
ChatGPT, it needs power, right?
Something needs the power.

380
00:10:51,470 --> 00:10:53,450
So you needed the data center.

381
00:10:53,450 --> 00:10:54,490
Mind your P's and Q's.

382
00:10:54,490 --> 00:10:57,150
That's hilarious because I've been
using it a lot lately and I keep

383
00:10:57,150 --> 00:11:00,070
putting in please and I'm like,
what am I doing?

384
00:11:00,070 --> 00:11:03,550
I do, too, because my thought is
if the robots come and kill us one

385
00:11:03,690 --> 00:11:06,510
night, they're going to scare
people who are nice to them.

386
00:11:06,510 --> 00:10:54,610
But I treat it like an employee.

387
00:11:07,450 --> 00:11:09,250
So I please and thank you.

388
00:11:09,250 --> 00:11:12,230
And I'm the weird guy that says
good morning to my chat GPT.

389
00:11:12,230 --> 00:11:12,430
I do.

390
00:11:12,430 --> 00:11:13,830
But it needed that power to get

391
00:11:13,830 --> 00:11:14,070
there.

392
00:11:14,070 --> 00:11:15,010
And really what happened late

393
00:11:15,010 --> 00:11:16,010
2022, OpenAI dropped chat GPT.

394
00:11:16,010 --> 00:11:18,710
I remember sitting around at the

395
00:11:18,710 --> 00:11:22,510
dinner table, hear about chat GPT,
and we start asking it questions

396
00:11:22,510 --> 00:11:23,530
with the kids.

397
00:11:23,530 --> 00:11:25,350
And we're like, whoa, this is

398
00:11:25,350 --> 00:11:25,430
freaky.

399
00:11:25,430 --> 00:11:25,550
Right.

400
00:11:25,550 --> 00:11:26,690
And then it really stemmed from
there.

401
00:11:26,690 --> 00:11:29,830
So I think it's been there, but I
think everything's catching up

402
00:11:29,830 --> 00:11:30,270
now.

403
00:11:30,270 --> 00:11:30,950
And COVID.

404
00:11:31,280 --> 00:11:34,520
was the catalyst, right?
We all sat in our house, we all

405
00:11:34,520 --> 00:11:37,000
went online, and these open AI
said, there's an opportunity here

406
00:11:37,000 --> 00:11:39,920
to really, like, now we got
processing power, we have the

407
00:11:39,920 --> 00:11:40,920
data, and off it went.

408
00:11:40,920 --> 00:11:41,840
Like, ChatGP was the catalyst.

409
00:11:41,840 --> 00:11:44,540
Like, from there, now all these
other ones have sort of really

410
00:11:45,530 --> 00:11:48,430
kind of come into the spotlight,
but it was sort of late 2022 when

411
00:11:48,430 --> 00:11:49,830
we saw the real chaos, but it
needed the power.

412
00:11:49,830 --> 00:11:52,310
Like, they're literally spending,
I don't know, like the bill that

413
00:11:52,310 --> 00:11:54,630
they did in the US when Trump
first took over, trillions of

414
00:11:54,630 --> 00:11:55,310
dollars building data centers.

415
00:11:55,310 --> 00:11:58,250
Because right now that's a race is

416
00:11:58,550 --> 00:12:00,910
you need the processing power to
power these.

417
00:12:00,910 --> 00:12:06,130
Every time you create an image,
you create a video, you create a

418
00:12:06,130 --> 00:12:08,150
blog post, it takes processing
power and data, right?

419
00:12:08,150 --> 00:12:11,970
So is that the current limitation?
Like, do we have enough data pool

420
00:12:12,090 --> 00:12:15,550
to pull information from?
Is it now just like the processing

421
00:12:15,550 --> 00:12:17,510
power?
Well, you really get real crazy

422
00:12:17,510 --> 00:12:18,110
into this.

423
00:12:18,110 --> 00:12:19,570
So ChatGPT has consumed all the

424
00:12:19,570 --> 00:12:21,550
data there is right now.

425
00:12:21,550 --> 00:12:24,330
This is probably outdated, but

426
00:12:24,490 --> 00:12:26,270
like it only went up to like 2022
or something?

427
00:12:26,270 --> 00:12:26,690
Correct.

428
00:12:26,690 --> 00:12:29,070
Is it present now, obviously?

429
00:12:29,250 --> 00:12:32,310
Well, because what it did is it
stopped training in 2022, but now

430
00:12:32,410 --> 00:12:34,170
it just accesses real -time data.

431
00:12:34,170 --> 00:12:35,870
So it's been trained in 2022, but

432
00:12:36,030 --> 00:12:39,090
now you ask it something, what the
weather is today, it'll just go

433
00:12:39,090 --> 00:12:41,150
find that information in real time
for you.

434
00:12:41,150 --> 00:12:43,690
But where it's going, like we hear
the word AGI, artificial gender

435
00:12:43,690 --> 00:12:45,770
intelligence, is that... that's
going to be the last invention

436
00:12:45,770 --> 00:12:47,890
humankind will ever have to make
because these tools will create

437
00:12:47,890 --> 00:12:51,850
their own knowledge yes it's hard
to wrap your head around it but we

438
00:12:51,850 --> 00:12:54,710
will never have to create
knowledge because these tools are

439
00:12:54,710 --> 00:12:57,710
going to create they're not
because they're smarter than us

440
00:12:57,710 --> 00:13:01,230
they're going to be able to detect
cancer way before we can and it's

441
00:13:01,370 --> 00:13:05,090
going to be able to do that so
right now yeah to answer your

442
00:13:05,330 --> 00:13:07,770
question it's consumed all the
data it's learning in real time

443
00:13:07,770 --> 00:13:10,720
but now these tools are going to
start creating their own knowledge

444
00:13:10,720 --> 00:13:14,360
so again it's hard to wrap your
head around that but They're going

445
00:13:14,360 --> 00:13:15,080
to create inventions.

446
00:13:15,080 --> 00:13:16,480
They're going to create the next

447
00:13:16,560 --> 00:13:17,540
best insert whatever the tools
will.

448
00:13:17,540 --> 00:13:20,080
So we're just going to be on the
beach.

449
00:13:20,080 --> 00:13:22,180
We're going to be all out of jobs.

450
00:13:22,180 --> 00:13:23,640
We're going to be hanging out,

451
00:13:23,640 --> 00:13:27,360
surfing, whatever you want to do,
golfing and let the robots.

452
00:13:27,360 --> 00:13:29,800
Nobody's had to write a realtor
listing.

453
00:13:29,800 --> 00:13:31,380
Nobody's had to write a realtor
listing.

454
00:13:31,380 --> 00:13:33,240
Yeah, I mean, I guess it's a
pretty like.

455
00:13:33,240 --> 00:13:36,100
Hard question, but what do you
think is going to happen to

456
00:13:36,380 --> 00:13:37,260
society?
Like, is this positive, negative?

457
00:13:37,260 --> 00:13:40,430
Like, are we just going to become
slugs on the earth?

458
00:13:40,430 --> 00:13:44,250
And like, I mean, mean, everyone
has their own opinion on where

459
00:13:44,250 --> 00:13:47,550
that's going and how fast it's
going to go.

460
00:13:47,550 --> 00:13:47,670
Right.

461
00:13:47,670 --> 00:13:49,490
I mean, I think that in the short

462
00:13:49,490 --> 00:13:50,250
term, we're seeing automating
businesses.

463
00:13:50,250 --> 00:13:52,770
We see people that they're
starting businesses of team of

464
00:13:52,770 --> 00:13:52,950
one.

465
00:13:52,950 --> 00:13:53,970
Like we're going to see probably

466
00:13:53,970 --> 00:13:54,310
the first.

467
00:13:54,310 --> 00:13:55,630
you know, million trillion dollar

468
00:13:55,630 --> 00:13:57,390
business started with a team of
one.

469
00:13:57,390 --> 00:13:59,750
Like we're starting to see that
and that's going to happen.

470
00:13:59,750 --> 00:14:01,950
I think today we can automate
pretty much the workflow of almost

471
00:14:01,950 --> 00:14:03,550
any business using AI technology.

472
00:14:03,550 --> 00:14:04,990
They can answer phones, they can

473
00:14:04,990 --> 00:14:06,370
prospect, they can fill out forms.

474
00:14:06,370 --> 00:14:07,530
Like think about your personal

475
00:14:07,530 --> 00:14:09,290
assistant is probably the best
thing I think we're seeing.

476
00:14:09,290 --> 00:14:14,070
I think from us, like what's going
to happen to humans, a concern I

477
00:14:14,070 --> 00:14:15,870
have, and I know we're going to
probably chat about this a little

478
00:14:15,870 --> 00:14:16,210
bit, is that.

479
00:14:16,210 --> 00:14:17,430
Things have evolved, right?

480
00:14:17,430 --> 00:14:18,930
Like we don't farm like we used
to.

481
00:14:18,930 --> 00:14:20,510
We joke before we came on.

482
00:14:20,510 --> 00:14:22,590
Like we used to climb up light

483
00:14:22,590 --> 00:14:22,190
posts and light them.

484
00:14:22,190 --> 00:14:23,690
Like we don't do that anymore.

485
00:14:25,010 --> 00:14:32,840
But the problem is that technology
took a while to come in, years to

486
00:14:32,840 --> 00:14:32,920
adopt.

487
00:14:32,920 --> 00:14:33,820
Where AI, it's like there's a

488
00:14:33,820 --> 00:14:35,800
billion dollars a day going into
AI.

489
00:14:36,100 --> 00:14:37,060
It's coming so fast.

490
00:14:37,060 --> 00:14:38,900
humans aren't able to catch up.

491
00:14:38,900 --> 00:14:42,100
So if it's replacing my job, it's
going to replace my job so quickly

492
00:14:42,100 --> 00:14:43,920
that I haven't been trained to do
something else.

493
00:14:43,920 --> 00:14:45,280
That's where that displacement is
going to happen fast.

494
00:14:45,280 --> 00:14:48,000
And I don't have an answer for
that.

495
00:14:48,000 --> 00:14:49,520
Like they're talking about
universal income, right?

496
00:14:49,520 --> 00:14:50,380
Universal basic income.

497
00:14:50,380 --> 00:14:51,560
They're going to need that or like

498
00:14:51,560 --> 00:14:53,240
we're all going to be unemployed.

499
00:14:53,600 --> 00:14:54,540
I'm being facetious.

500
00:14:54,540 --> 00:14:56,080
Some of us will keep our job.

501
00:14:56,240 --> 00:14:57,320
Yeah, there'd be like five of us

502
00:14:57,320 --> 00:14:58,180
employed with like trillion
technology.

503
00:14:58,460 --> 00:15:00,220
of us employed with trillion
technology.

504
00:15:00,220 --> 00:15:04,880
I mean, I don't know where it's
going to go, but we're seeing like

505
00:15:04,880 --> 00:15:05,900
robots are creating robots today.

506
00:15:05,900 --> 00:15:08,580
If I had the answer, you know, I'd

507
00:15:08,580 --> 00:15:09,340
be a billionaire.

508
00:15:09,340 --> 00:15:10,640
But, you know, I feel.

509
00:15:10,640 --> 00:15:13,280
like today we're seeing that it
can really help our businesses and

510
00:15:13,280 --> 00:15:15,240
people need to start looking at
that over the next few years i

511
00:15:15,240 --> 00:15:16,820
think we're going to start seeing
a lot of wearables that's where

512
00:15:16,820 --> 00:15:20,230
open ai is investing in right now
is that you're going to be wearing

513
00:15:20,370 --> 00:15:22,590
a pin you don't have to go to your
computer you're going to be

514
00:15:22,590 --> 00:15:25,630
wearing a pin that you're just
going to talk to or you're going

515
00:15:25,630 --> 00:15:30,630
to be wearing a watch or a phone
or eyeglasses that you're going to

516
00:15:31,090 --> 00:15:34,510
talk to so it's getting embedded
in our day -to -day and in the

517
00:15:34,830 --> 00:15:38,600
vision vision of where it's going
to singularity which i think

518
00:15:38,700 --> 00:15:40,780
people don't want to talk about
because it's scary but we never

519
00:15:40,780 --> 00:15:43,300
thought that we'd all carry a cell
phone in our back pockets, right?

520
00:15:43,780 --> 00:15:45,060
And we all know.

521
00:15:45,060 --> 00:15:46,220
But singularity means that think

522
00:15:46,380 --> 00:15:49,520
about a chip embedded in us that
you're just going to think in and

523
00:15:49,520 --> 00:15:51,800
the AI is going to be one with us.

524
00:15:51,800 --> 00:15:52,080
trillion technology.

525
00:15:52,080 --> 00:15:54,720
about a chip embedded in us that
you're just going to think in and

526
00:15:54,720 --> 00:15:56,100
the AI is going to be one with us.

527
00:15:56,100 --> 00:15:57,480
And that's the vision of where

528
00:15:57,480 --> 00:15:57,480
they want to go with this.

529
00:15:57,480 --> 00:15:59,060
And that chip will dictate, hey,

530
00:15:59,060 --> 00:16:01,500
Rob, you know what?
You need to go to the doctor today

531
00:16:01,500 --> 00:16:03,200
or you're low on this.

532
00:16:03,200 --> 00:16:04,500
You know, and this is down the

533
00:16:04,500 --> 00:16:04,640
road.

534
00:16:04,640 --> 00:16:05,600
I don't know.

535
00:16:05,600 --> 00:16:07,420
We'll be alive to see this.

536
00:16:07,420 --> 00:16:08,100
I'm thinking we will.

537
00:16:08,100 --> 00:16:10,600
The technology's coming so fast,
but that's where it's going.

538
00:16:10,600 --> 00:16:12,720
So you need to go see a doctor
today.

539
00:16:12,720 --> 00:16:13,020
Just kidding.

540
00:16:13,020 --> 00:16:13,300
It's me.

541
00:16:13,300 --> 00:16:13,580
That's right.

542
00:16:13,580 --> 00:16:14,240
That's right.

543
00:16:14,240 --> 00:16:15,600
In China, they opened a hospital.

544
00:16:15,600 --> 00:16:17,780
I think it was a pilot that all AI

545
00:16:17,780 --> 00:16:17,840
run.

546
00:16:17,840 --> 00:16:19,260
I know we talk about data, but no

547
00:16:19,260 --> 00:16:21,360
one can argue that our medical
system is not the best it can be.

548
00:16:21,360 --> 00:16:23,180
The education system is not the
best it can be.

549
00:16:23,180 --> 00:16:23,560
They're unemployed, overworked.

550
00:16:23,560 --> 00:16:24,800
It's not like it doesn't work.

551
00:16:24,800 --> 00:16:26,960
We're not producing students to
come into workforces that are

552
00:16:26,960 --> 00:16:28,000
ready to do this.

553
00:16:28,000 --> 00:16:28,180
Right.

554
00:16:28,180 --> 00:16:32,400
So if they can help that side of
it, take away the, you know, it

555
00:16:32,400 --> 00:16:33,240
can create a blog post.

556
00:16:33,240 --> 00:16:33,800
That's easy stuff.

557
00:16:33,800 --> 00:16:36,390
It can literally change how we run
in our society.

558
00:16:36,390 --> 00:16:37,110
I'm all for that.

559
00:16:37,110 --> 00:16:37,770
I'm all for that.

560
00:16:37,770 --> 00:16:42,170
If we can detect cancer sooner and
you can live 20 healthier years,

561
00:16:42,170 --> 00:16:43,910
why not?
Why are we scared of it?

562
00:16:43,910 --> 00:16:45,110
Let's embrace it rather than be
scared of it.

563
00:16:45,110 --> 00:16:45,330
It's funny.

564
00:16:45,330 --> 00:16:45,410
funny.

565
00:16:45,410 --> 00:15:57,880
The hospital is a good example.

566
00:16:41,990 --> 00:16:43,170
The specialists are almost the

567
00:16:43,170 --> 00:16:45,110
easiest to replace than the people
like the nurses and the porters

568
00:16:45,110 --> 00:16:45,770
are the hardest to replace.

569
00:16:45,770 --> 00:16:45,950
Correct.

570
00:16:45,950 --> 00:16:47,010
Maybe not the porters.

571
00:16:47,010 --> 00:16:47,850
That'd be pretty easy.

572
00:16:47,850 --> 00:16:50,570
But like the nurses and massage
therapists and stuff like that, it

573
00:16:50,710 --> 00:16:51,830
seems like they're kind of safe or
safer anyway.

574
00:16:51,830 --> 00:16:54,550
So yeah, like on the medical side,
I was chatting to Scott Peckford

575
00:16:54,550 --> 00:16:56,230
the other day, who's like my
managing broker.

576
00:16:56,230 --> 00:16:57,560
We've had him on the show.

577
00:16:57,560 --> 00:16:58,780
We were just chatting some health

578
00:16:58,780 --> 00:16:59,180
stuff.

579
00:16:59,180 --> 00:16:59,860
He's always into health.

580
00:16:59,860 --> 00:17:01,140
And we're talking about DEXA scan.

581
00:17:01,140 --> 00:17:02,240
I was like, oh yeah, like I want

582
00:17:02,240 --> 00:17:09,180
to get one, but you know, I want
to have like a doctor to follow up

583
00:17:09,180 --> 00:17:11,720
with it and do trend monitoring
and kind of see where it goes over

584
00:17:11,720 --> 00:17:12,460
the next few years.

585
00:17:12,460 --> 00:17:14,420
He's like, yeah, or just drop it

586
00:17:14,420 --> 00:17:15,000
into chat GPT.

587
00:17:15,000 --> 00:17:16,460
He's like, that's what I've been

588
00:17:16,460 --> 00:17:17,280
doing every six months.

589
00:17:17,280 --> 00:17:18,920
Like I'll get one and just throw

590
00:17:18,920 --> 00:17:19,420
it in there.

591
00:17:19,420 --> 00:17:21,839
And that gives me like, hey, I

592
00:17:21,839 --> 00:17:23,079
want to train for this.

593
00:17:23,079 --> 00:17:23,700
I want to.

594
00:17:23,700 --> 00:17:24,200
Gain weight.

595
00:17:24,359 --> 00:17:25,520
I want to lose weight.

596
00:17:25,520 --> 00:17:26,780
Like, what do I do?
Here's my scan.

597
00:17:27,000 --> 00:17:27,140
That's incredible.

598
00:17:27,260 --> 00:17:28,040
Like, that's really accessible to

599
00:17:28,040 --> 00:17:28,440
anyone.

600
00:17:28,560 --> 00:17:30,420
Well, and I think the difference

601
00:17:30,420 --> 00:17:34,840
if you think if you go see a
specialist, the knowledge for the

602
00:17:34,840 --> 00:17:36,700
specialist is, you know, the
knowledge through school and the

603
00:17:36,700 --> 00:17:39,860
knowledge of the patients that he
or she has seen.

604
00:17:40,200 --> 00:17:42,500
ChatGPT is trained on every
specialist in the world that's

605
00:17:42,500 --> 00:17:42,920
ever existed.

606
00:17:42,920 --> 00:17:44,060
And you can insert accountant,

607
00:17:44,060 --> 00:17:44,720
whatever, like marketer.

608
00:17:44,720 --> 00:17:47,640
It's trained on all of it.

609
00:17:47,640 --> 00:17:49,440
My knowledge comes from my life.

610
00:17:49,440 --> 00:17:49,800
Right.

611
00:17:49,800 --> 00:17:53,300
Like and I'm exposed to whatever
I'm exposed to in the world of

612
00:17:53,300 --> 00:17:55,560
business, but I'm not exposed to
what everybody has.

613
00:17:55,560 --> 00:17:56,540
You guys are different.

614
00:17:56,540 --> 00:17:57,940
If we go to overseas, it's

615
00:17:57,940 --> 00:17:58,120
different.

616
00:17:58,120 --> 00:17:59,020
Like there's all these other

617
00:17:59,020 --> 00:17:59,140
things.

618
00:17:59,140 --> 00:18:01,120
It's been trained on all of that.

619
00:18:01,720 --> 00:18:03,000
And that's the power of that.

620
00:18:03,000 --> 00:18:04,920
Plus, it's also, you know, where a

621
00:18:04,920 --> 00:18:07,160
lot of government is trying to get
involved is what's legal, what's

622
00:18:07,160 --> 00:18:07,240
not.

623
00:18:07,240 --> 00:18:07,320
Right.

624
00:18:07,320 --> 00:18:08,700
Who owns this?
Who doesn't own this?

625
00:18:08,700 --> 00:18:11,300
Like, is it OK to train on all the
data out there?

626
00:18:11,300 --> 00:18:13,140
There's court cases right now that
are like, hey, you trained on

627
00:18:13,140 --> 00:18:15,080
YouTube videos where you don't own
the YouTube videos.

628
00:18:15,080 --> 00:18:15,920
Google does.

629
00:18:15,920 --> 00:18:17,160
And I'm like, well, do they?

630
00:18:17,160 --> 00:18:18,640
Don't you own it?
Because aren't you the one that

631
00:18:18,640 --> 00:18:20,040
posted on YouTube?
Doesn't seem like the cat is out

632
00:18:20,600 --> 00:18:22,420
of the bag there.

633
00:18:22,420 --> 00:18:24,040
So that's a great question that I

634
00:18:24,040 --> 00:18:24,920
have is how is this like
regulated?

635
00:18:24,920 --> 00:18:26,160
Is it at a like global scale?
Is it?

636
00:18:26,160 --> 00:18:26,880
Like nationally?
There's no regulation, no

637
00:18:26,880 --> 00:18:27,320
regulation, bro.

638
00:18:27,320 --> 00:18:28,920
Yeah, well, right now, I think the

639
00:18:28,920 --> 00:18:30,600
EU, so Europe has really tight
regulations.

640
00:18:30,620 --> 00:18:33,460
Like so a lot of the tools that we
use here, you're not allowed to

641
00:18:33,460 --> 00:18:35,780
even use them in the EU.

642
00:18:35,780 --> 00:18:37,280
They have a really strict policy

643
00:18:37,280 --> 00:18:37,800
around AI.

644
00:18:37,800 --> 00:18:38,700
We're a little bit of the wild,

645
00:18:38,700 --> 00:18:39,840
wild west.

646
00:18:39,840 --> 00:18:41,620
I think we're still trying to

647
00:18:41,620 --> 00:18:42,100
figure it out.

648
00:18:42,100 --> 00:18:43,480
I think Canada typically follows

649
00:18:43,480 --> 00:18:46,940
the EU, which scares me a little
bit because I think we can't put

650
00:18:46,940 --> 00:18:47,940
handcuffs on all this.

651
00:18:47,940 --> 00:18:49,440
Like we need to keep developing

652
00:18:49,440 --> 00:18:49,580
these.

653
00:18:49,580 --> 00:18:51,780
US is all in.

654
00:18:51,780 --> 00:18:54,260
Like Elon Musk, like they're all
in.

655
00:18:54,260 --> 00:18:55,720
Like there's no Sam Altman.

656
00:18:55,720 --> 00:18:57,550
These guys are not stopping,

657
00:18:57,550 --> 00:18:59,430
right?
Because the race for U .S.

658
00:18:59,430 --> 00:19:01,850
is against China right now in
these tools, for sure.

659
00:19:01,850 --> 00:19:05,590
This is like, you know, the first
people that go into the moon and

660
00:19:05,590 --> 00:19:07,190
first people up to Mars.

661
00:19:07,190 --> 00:19:08,990
Like it's a race for this, right?

662
00:19:08,990 --> 00:19:13,010
But here, my concern is that we
have, to be blunt, we have, you

663
00:19:13,070 --> 00:19:17,170
know, 80 -year -old white males in
the Senate of the U .S.

664
00:19:17,170 --> 00:19:20,590
trying to... develop a policy
around AI and they probably don't

665
00:19:20,590 --> 00:19:22,390
even know to turn on their
computer.

666
00:19:22,390 --> 00:19:25,130
Like, I think they have the wrong
people in the room making those

667
00:19:25,130 --> 00:19:25,390
decisions.

668
00:19:25,390 --> 00:19:26,390
Like I do, right?

669
00:19:26,610 --> 00:19:28,250
You need the Sam Altman's, the
Elon's.

670
00:19:28,250 --> 00:19:30,450
And I don't care if you like these
people or not.

671
00:19:30,450 --> 00:19:33,110
That's not the point is that you
need to have those people in the

672
00:19:33,110 --> 00:19:35,670
room making these decisions
because they're the one developing

673
00:19:35,670 --> 00:19:35,830
it.

674
00:19:35,830 --> 00:19:37,030
You can't have someone that, you

675
00:19:37,030 --> 00:19:41,330
know, I don't know if you saw the
TikTok hearings and the guys

676
00:19:41,330 --> 00:19:45,990
thought, yes, like, you know,
like, come on, like, how are you?

677
00:19:45,990 --> 00:19:47,470
It was comedy.

678
00:19:47,870 --> 00:19:49,110
It made some good scrolling that

679
00:19:49,390 --> 00:19:49,610
day.

680
00:19:49,850 --> 00:19:50,310
Yeah, right?

681
00:19:50,310 --> 00:19:50,950
Like, you have.

682
00:19:50,950 --> 00:19:52,830
the wrong people in the wrong room

683
00:19:52,830 --> 00:19:55,410
making decisions in my mind and
that sort of stuff.

684
00:19:55,410 --> 00:19:58,150
And I'm scared that they're going
to make decisions that, you know,

685
00:19:58,150 --> 00:20:02,310
it's best for them, not what's
best for like the rest of us that

686
00:20:02,310 --> 00:20:02,710
are out there.

687
00:20:02,710 --> 00:20:03,650
And that's pretty typical from

688
00:20:03,650 --> 00:20:05,050
government policy anyways, but
that's a whole different show.

689
00:20:05,050 --> 00:20:08,390
the And I don't like, how AI seems
to like be fairly intimidating for

690
00:20:08,390 --> 00:20:09,770
a lot of people for various
reasons.

691
00:20:09,770 --> 00:20:10,970
Like what should people be dipping
their toe in?

692
00:20:10,970 --> 00:20:13,870
What's like an easy, no barrier of
entry.

693
00:20:13,870 --> 00:20:15,210
Hey, try this tool.

694
00:20:15,210 --> 00:20:16,730
This will impact your life better.

695
00:20:16,730 --> 00:20:19,290
Where would you start if someone
just wanted to learn?

696
00:20:19,290 --> 00:20:21,970
Yeah, I think for me, the baseline
is a large language model.

697
00:20:21,970 --> 00:20:24,470
So, I mean, I'm a chat GPT guy, 20
bucks a month.

698
00:20:24,470 --> 00:20:25,170
I recommend paying for it.

699
00:20:25,170 --> 00:20:26,310
It adds a lot.

700
00:20:26,310 --> 00:20:28,550
I mean, it's 20 bucks US a month.

701
00:20:28,670 --> 00:20:30,310
So it's not a lot.

702
00:20:30,310 --> 00:20:32,410
I would say to dip your toe.

703
00:20:32,790 --> 00:20:34,190
That's what I would start with and

704
00:20:34,190 --> 00:20:35,390
start asking the questions.

705
00:20:35,390 --> 00:20:36,190
Like just start simple.

706
00:20:36,190 --> 00:20:39,010
Ask it to analyze your email and
come up with a summary.

707
00:20:39,010 --> 00:20:40,270
Ask it to write you a blog post.

708
00:20:40,670 --> 00:20:42,430
Ask it to, hey, this is who I am.

709
00:20:42,430 --> 00:20:44,730
Give me five ideas that I can post
on LinkedIn.

710
00:20:44,790 --> 00:20:45,970
Just start dipping your toe.

711
00:20:46,070 --> 00:20:47,230
And I think that would be the

712
00:20:47,230 --> 00:20:47,990
starting point for me.

713
00:20:47,990 --> 00:20:48,810
To me, it's my assistant.

714
00:20:48,810 --> 00:20:51,410
It's my CTO, it's my CMO, it's my
CFO, it's everything.

715
00:20:51,410 --> 00:20:54,350
Like I talk to him and say, hey,
like I have an idea.

716
00:20:54,350 --> 00:20:55,650
That's how I use it.

717
00:20:55,650 --> 00:20:56,870
And I find the power of it is

718
00:20:56,870 --> 00:20:57,150
crazy.

719
00:20:57,150 --> 00:20:58,870
You guys mentioned sort of the

720
00:20:59,150 --> 00:21:00,890
health side is last week I started
talking to him.

721
00:21:00,890 --> 00:21:02,630
I'm just curious to test him.

722
00:21:02,630 --> 00:21:04,970
I'm like, ask me questions you

723
00:21:05,250 --> 00:21:08,870
need to ask to put a plan together
for me so I can eat healthier and

724
00:21:08,870 --> 00:21:09,350
work out.

725
00:21:09,350 --> 00:21:10,210
And it started asking me questions

726
00:21:10,210 --> 00:21:12,550
and it came up with the most
amazing plan was supplement.

727
00:21:12,590 --> 00:21:15,010
Now, you know, I'd probably take
it to a doctor and say, hey, these

728
00:21:15,010 --> 00:21:15,790
supplements healthy or not.

729
00:21:15,890 --> 00:21:18,550
But it blew me away what I came

730
00:21:18,550 --> 00:21:19,190
back with.

731
00:21:19,190 --> 00:21:19,250
Right.

732
00:21:19,250 --> 00:21:22,870
So that's a good way to start just
dipping your tool into these to

733
00:21:22,870 --> 00:21:24,910
make sure that you're comfortable
working with it.

734
00:21:24,910 --> 00:21:29,170
Because there's only thousands of
tools, but that's where I would

735
00:21:29,170 --> 00:21:29,370
start.

736
00:21:29,370 --> 00:21:30,410
There's a large language model.

737
00:21:30,410 --> 00:21:32,870
It could be chat GPT is the most
common.

738
00:21:32,870 --> 00:21:34,430
There's perplexity, there's
clodders, all these.

739
00:21:34,430 --> 00:21:36,630
But I would say that's where you
should start.

740
00:21:36,630 --> 00:21:36,810
Nice.

741
00:21:36,810 --> 00:21:37,030
Yeah.

742
00:21:37,030 --> 00:21:39,790
Something in your presentation a
few weeks ago, you said that I

743
00:21:39,790 --> 00:21:40,730
thought was pretty fascinating.

744
00:21:40,810 --> 00:21:41,950
There's a book that you were

745
00:21:41,950 --> 00:21:42,350
reading.

746
00:21:42,830 --> 00:21:43,390
It was Transcend.

747
00:21:43,390 --> 00:21:43,630
Transcend.

748
00:21:43,810 --> 00:21:43,850
Yeah.

749
00:21:43,850 --> 00:21:44,250
Transcend.

750
00:21:44,250 --> 00:21:45,870
And you said like the errors in

751
00:21:46,030 --> 00:21:47,950
AI, like people are worried that
AI is going to make errors, but

752
00:21:47,950 --> 00:21:50,290
it's actually just like reflection
as you as a human making errors

753
00:21:50,290 --> 00:21:53,310
because you're the one, you know,
responding or putting in the data,

754
00:21:53,310 --> 00:21:54,910
which was like.

755
00:21:54,910 --> 00:21:56,990
Pretty interesting to me, you

756
00:21:56,990 --> 00:21:57,610
know?
And it truly is.

757
00:21:57,610 --> 00:22:01,270
I think this guy that wrote this
book is Faisal Hulk, I believe is

758
00:22:01,570 --> 00:22:01,850
his name.

759
00:22:01,850 --> 00:22:03,870
He said, like, we're scared of AI

760
00:22:03,870 --> 00:22:05,050
because it's us looking in the
mirror.

761
00:22:05,390 --> 00:22:07,690
It's all the good, the bad, the
evil, everything that's learned

762
00:22:07,690 --> 00:22:07,870
on.

763
00:22:07,870 --> 00:22:10,270
And it's funny because I think we

764
00:22:10,350 --> 00:22:12,970
hold technology to a higher
standard than humans because, you

765
00:22:13,170 --> 00:22:14,690
know, we have car crashes every
day.

766
00:22:14,690 --> 00:22:15,670
People die on the highway all the
time.

767
00:22:15,770 --> 00:22:17,410
We don't look at reforming that at
all.

768
00:22:17,410 --> 00:22:20,230
But one autonomous vehicle has a
crash and we have hearing.

769
00:22:20,230 --> 00:22:21,370
We push the panic button.

770
00:22:21,370 --> 00:22:22,050
We're like think tanks.

771
00:22:22,050 --> 00:22:24,570
Like we hold it to a whole
different standard than we do

772
00:22:24,570 --> 00:22:24,850
ourselves.

773
00:22:24,850 --> 00:22:25,430
I don't know.

774
00:22:25,530 --> 00:22:27,270
Have you seen any politicians ever
lie on TV?

775
00:22:27,270 --> 00:22:27,710
Probably, right?
It hallucinates.

776
00:22:27,710 --> 00:22:29,090
We're like, oh my gosh, this thing
is crazy.

777
00:22:29,090 --> 00:22:29,770
Don't use it.

778
00:22:29,770 --> 00:22:31,400
We hold it to a different

779
00:22:31,400 --> 00:22:31,540
standard.

780
00:22:31,540 --> 00:22:33,100
And I'm not sure why.

781
00:22:33,100 --> 00:22:36,060
I don't know the answer on why we
do.

782
00:22:36,180 --> 00:22:37,620
But remember that these tools, we
control them right now.

783
00:22:37,620 --> 00:22:37,760
Right.

784
00:22:37,760 --> 00:22:38,900
Like it's learning from us.

785
00:22:38,900 --> 00:22:41,420
And that's probably my biggest
concern is I'm not worried about

786
00:22:41,420 --> 00:22:42,560
the AI tools.

787
00:22:42,620 --> 00:22:43,680
I'm worried about being in the

788
00:22:43,680 --> 00:22:46,320
right hands of the people that are
actually using these tools.

789
00:22:46,320 --> 00:22:50,440
That's where I think keeps me up
more at night than the tools

790
00:22:50,580 --> 00:22:50,640
themselves.

791
00:22:50,640 --> 00:22:51,640
I think the tools are amazing.

792
00:22:51,640 --> 00:22:52,640
They do amazing things.

793
00:22:52,800 --> 00:22:54,500
We just keep the tools at a higher

794
00:22:54,500 --> 00:22:56,280
standard than we do as humans.

795
00:22:56,280 --> 00:22:57,240
We've always had this technology.

796
00:22:57,240 --> 00:22:57,940
We've always done that.

797
00:22:57,940 --> 00:23:00,330
And I'm not sure why.

798
00:23:00,330 --> 00:23:02,310
I don't have the answer for that,
but my pay grade.

799
00:23:02,310 --> 00:23:04,850
this thing is Yeah, I've started
playing around with it a little

800
00:23:05,010 --> 00:23:05,250
more frequently.

801
00:23:05,250 --> 00:23:08,430
Like I had it make a spreadsheet

802
00:23:08,430 --> 00:23:10,010
the other day, which I love
spreadsheets.

803
00:23:10,010 --> 00:23:11,410
It pumped out a spreadsheet in
like a minute.

804
00:23:11,410 --> 00:23:12,610
Yeah, there were some errors.

805
00:23:12,610 --> 00:23:14,290
There's some things I want to

806
00:23:14,290 --> 00:23:14,410
adjust.

807
00:23:14,410 --> 00:23:16,210
And I just told ChatGPT like

808
00:23:16,210 --> 00:23:18,270
change this, change this.

809
00:23:18,270 --> 00:23:18,830
And it did.

810
00:23:18,830 --> 00:23:20,450
That saved me like an hour.

811
00:23:20,450 --> 00:23:22,530
Another one I just used it for is

812
00:23:22,530 --> 00:23:23,010
comparing insurance policies.

813
00:23:23,010 --> 00:23:24,270
Hey, this is my old policy.

814
00:23:24,270 --> 00:23:25,690
This is the new policy.

815
00:23:25,690 --> 00:23:26,490
Can you highlight any differences,

816
00:23:26,610 --> 00:23:28,890
red flags?
And it just made a chart apples to

817
00:23:28,890 --> 00:23:29,050
apples.

818
00:23:29,050 --> 00:23:29,690
Here's the differences.

819
00:23:29,690 --> 00:23:31,490
Here's why this policy is more
superior or not.

820
00:23:31,490 --> 00:23:33,730
Did you just upload a couple of
PDFs for that?

821
00:23:33,730 --> 00:23:34,350
Yeah.

822
00:23:34,350 --> 00:23:37,070
I just dragged in two PDFs and

823
00:23:37,070 --> 00:23:40,130
said, highlight the differences
between these two insurance

824
00:23:40,130 --> 00:23:40,530
policies.

825
00:23:40,530 --> 00:23:41,630
And then trip planning.

826
00:23:41,630 --> 00:23:44,230
I prompted it with, hey, we want
to go to this area.

827
00:23:44,230 --> 00:23:45,590
This is the cost.

828
00:23:45,590 --> 00:23:48,670
This is what we want to do.

829
00:23:48,670 --> 00:23:50,130
Blah, blah, blah, blah.

830
00:23:50,130 --> 00:23:52,310
And it drafts in things from like

831
00:23:52,310 --> 00:23:54,210
Reddit, TripAdvisor, Booking .com.

832
00:23:54,210 --> 00:23:54,630
And it's wild.

833
00:23:54,630 --> 00:23:56,470
It's really cool stuff.

834
00:23:56,470 --> 00:23:57,910
And I always say like what we're

835
00:23:57,910 --> 00:24:02,050
using is the worst these tools are
ever going to be.

836
00:24:02,410 --> 00:24:02,750
Exactly.

837
00:24:02,750 --> 00:24:04,770
They're going to go stuff better

838
00:24:04,890 --> 00:24:05,150
every day.

839
00:24:05,150 --> 00:24:07,430
Like I said, of course, I teach in

840
00:24:07,430 --> 00:24:07,570
automation.

841
00:24:07,570 --> 00:24:08,730
I have a class today.

842
00:24:08,730 --> 00:24:09,170
It's so funny.

843
00:24:09,270 --> 00:24:10,250
Today, a big announcement came on

844
00:24:10,250 --> 00:24:12,990
one of the tools that I demo.

845
00:24:12,990 --> 00:24:14,730
So now, like literally today.

846
00:24:14,730 --> 00:24:17,860
So the class this afternoon is
going to get the latest and

847
00:24:17,860 --> 00:24:19,520
greatest of this new tool that
came on.

848
00:24:19,520 --> 00:24:22,580
And literally next week will be
another tool and another tool.

849
00:24:22,580 --> 00:24:24,460
So it's hard to stay up on it.

850
00:24:24,460 --> 00:24:26,940
That's why I say, like, to me,

851
00:24:26,940 --> 00:24:28,380
ChatGPT is sort of the baseline.

852
00:24:28,380 --> 00:24:29,720
The other tools, if you do a lot

853
00:24:29,720 --> 00:24:33,220
of presentations, there's a tool
called Gamma, G -A -M -M -A.

854
00:24:33,220 --> 00:24:33,960
That's absolutely amazing.

855
00:24:33,960 --> 00:24:35,740
you just put in the data it builds

856
00:24:35,740 --> 00:24:38,100
your deck for you like with all
the graphics all the charts

857
00:24:38,340 --> 00:24:05,150
everything built like literally in
a push of a button because i do a

858
00:24:05,150 --> 00:24:43,680
lot of proposals like changes
you're like it sounds little but

859
00:24:43,680 --> 00:24:46,440
literally i spent four or five
hours something four hours ago now

860
00:24:46,440 --> 00:24:50,320
it's done within 10 minutes like
15 minutes even if i gotta go edit

861
00:24:50,320 --> 00:24:53,540
it and to me that's not the value
like the value for a client isn't

862
00:24:53,540 --> 00:24:55,820
paying me to build a deck to go
Right.

863
00:24:55,820 --> 00:24:56,200
Like a slide.

864
00:24:56,200 --> 00:24:57,980
Now I can spend time actually in

865
00:24:58,180 --> 00:25:00,120
strategy and working in their
business and helping them rather

866
00:25:00,120 --> 00:25:04,640
than spending time trying to build
a slide deck for them, which makes

867
00:25:04,640 --> 00:25:05,640
no sense.

868
00:25:05,640 --> 00:25:05,760
Right.

869
00:25:05,760 --> 00:25:07,900
It makes no sense.

870
00:25:07,900 --> 00:25:09,160
So, you know, even a website.

871
00:25:09,160 --> 00:25:14,560
So a song of a client, you know,
if you came to me 10 years ago and

872
00:25:14,640 --> 00:25:16,720
needed a website, it's, you know,
there are seventy five hundred to

873
00:25:16,860 --> 00:25:18,140
fifteen grand and you're 90 days
in.

874
00:25:18,140 --> 00:25:21,920
We can turn around websites for
thirty five hundred dollars in 48

875
00:25:21,920 --> 00:25:22,020
hours.

876
00:25:22,020 --> 00:25:24,640
You know, so it's a benefit to the

877
00:25:24,640 --> 00:25:27,720
client as well, because the cost
came down and we can use these

878
00:25:27,720 --> 00:25:28,220
tools at our advantage.

879
00:25:28,220 --> 00:25:29,580
That's just a simple little like

880
00:25:29,580 --> 00:25:30,500
really it's a website.

881
00:25:30,500 --> 00:25:32,600
We're not talking about we're

882
00:25:32,600 --> 00:25:33,300
saving lives.

883
00:25:33,300 --> 00:25:33,580
Right.

884
00:25:33,580 --> 00:25:37,140
But that's how these tools have
affected sort of the day to day on

885
00:25:37,140 --> 00:25:38,160
how businesses are run.

886
00:25:38,160 --> 00:25:38,560
a slide.

887
00:25:38,560 --> 00:25:42,250
So what do you think a person
could do nowadays to kind of gear

888
00:25:42,310 --> 00:25:44,650
up for the future?
Where's the safe bet right now?

889
00:25:44,930 --> 00:25:46,410
Should you just be learning about
AI as much as you can?

890
00:25:46,410 --> 00:25:48,070
as you can?
Yeah, and that's a great question.

891
00:25:48,070 --> 00:25:49,730
I think for me, it's like...

892
00:25:49,730 --> 00:25:51,110
Yeah, like knowledge, right?

893
00:25:51,110 --> 00:25:51,710
Knowledge is king.

894
00:25:51,710 --> 00:25:52,950
And I think don't be scared of

895
00:25:52,950 --> 00:25:53,850
these tools.

896
00:25:53,850 --> 00:25:55,670
A lot of them have free layers in

897
00:25:55,670 --> 00:25:55,930
them.

898
00:25:55,930 --> 00:25:58,290
So you can go and like set up an

899
00:25:58,290 --> 00:26:00,690
account and not pay and play
around with them and see if they

900
00:26:00,690 --> 00:26:02,830
work for lots of them do that.

901
00:26:03,130 --> 00:26:04,030
They typically will start charging

902
00:26:04,030 --> 00:26:05,070
when you start activating them.

903
00:26:05,310 --> 00:26:06,850
I really believe that AI is going

904
00:26:06,850 --> 00:26:08,550
to be just a common term.

905
00:26:08,650 --> 00:26:09,990
If you use AI and you use

906
00:26:09,990 --> 00:26:11,610
automation, you're at an advantage
over your competitor.

907
00:26:11,610 --> 00:26:12,910
That's going to stop.

908
00:26:12,910 --> 00:26:14,850
Eventually, it's just going to be

909
00:26:14,850 --> 00:26:15,090
part.

910
00:26:15,090 --> 00:26:16,290
It's going to be because they're

911
00:26:16,290 --> 00:26:17,710
starting to get embedded in tools.

912
00:26:17,710 --> 00:26:19,970
But for me today is, yeah, like

913
00:26:19,970 --> 00:26:22,030
educate yourself, like go into
ChatGP, ask a questions question.

914
00:26:22,030 --> 00:26:24,530
go to youtube watch videos because
everybody's different like even

915
00:26:24,530 --> 00:26:27,450
within your guys's industry to
real estate agents the way you

916
00:26:27,450 --> 00:26:29,850
manage your business is going to
be different like the tools might

917
00:26:29,850 --> 00:26:32,530
be the same but your workflow is
different but i would say yeah

918
00:26:32,710 --> 00:26:35,490
just start educating i think
that's my biggest push right now

919
00:26:35,490 --> 00:26:38,790
is trying to get Just people
educated on what's out there, what

920
00:26:38,790 --> 00:26:40,470
you can do, how you can use these
tools.

921
00:26:40,470 --> 00:26:41,370
Don't be scared of them.

922
00:26:41,370 --> 00:26:42,950
If you're worried about privacy

923
00:26:42,950 --> 00:26:45,670
policy, you can turn a lot of the
sharing off on a lot of these

924
00:26:45,670 --> 00:26:46,570
tools and just educate.

925
00:26:46,570 --> 00:26:47,750
That's step number one.

926
00:26:47,750 --> 00:26:49,470
And then step number two is
actually start implementing them

927
00:26:49,470 --> 00:26:50,590
into your day to day.

928
00:26:50,590 --> 00:26:51,990
Just pick one thing.

929
00:26:51,990 --> 00:26:53,910
What's one pain in the butt thing
you do?

930
00:26:53,910 --> 00:26:57,270
You're like, man, if I didn't have
to do this day to day, it would

931
00:26:57,270 --> 00:26:58,510
save me time and energy.

932
00:26:58,630 --> 00:26:58,850
Let's automate.

933
00:26:58,850 --> 00:27:02,790
Let's find a tool that will help
you and then move to the next one,

934
00:27:02,790 --> 00:27:04,190
move to the next one.

935
00:27:04,190 --> 00:27:05,210
Like we're automating a workflow

936
00:27:05,210 --> 00:27:06,010
for our dentists.

937
00:27:06,010 --> 00:27:08,330
Like for a dentist, like, so our

938
00:27:08,330 --> 00:27:09,550
jobs, we can automate it.

939
00:27:09,550 --> 00:27:10,470
Like, so it almost every industry

940
00:27:10,470 --> 00:27:14,700
we can find value to help automate
things from no matter what the

941
00:27:14,700 --> 00:27:15,040
industry is.

942
00:27:15,040 --> 00:27:16,440
What about things like working on

943
00:27:16,440 --> 00:27:18,800
like people skills face to face?
Is there any like AI insulating

944
00:27:18,800 --> 00:27:20,220
skills that you can think of that
would be good?

945
00:27:20,220 --> 00:27:23,000
Yeah, it's interesting because I
work a lot in TRU and in Cambridge

946
00:27:23,000 --> 00:27:25,460
and UBCO and work them in some
stuff.

947
00:27:25,600 --> 00:27:28,100
And one of the things that I've
been noticing is, you know, I have

948
00:27:28,400 --> 00:27:29,960
kids, they have zero like
interpersonal skills, right?

949
00:27:29,960 --> 00:27:31,400
Especially the ones that have
really went through COVID through

950
00:27:31,400 --> 00:27:32,320
school, right?
They miss that a lot.

951
00:27:32,320 --> 00:27:33,200
I'm an old school person.

952
00:27:33,200 --> 00:27:34,700
I like to be in front, try to

953
00:27:34,700 --> 00:27:35,200
travel and meet.

954
00:27:35,560 --> 00:27:36,540
You can't replace that.

955
00:27:36,540 --> 00:27:40,180
Like, I really feel like that's
the advantage humans have over any

956
00:27:40,180 --> 00:27:42,240
of this technology because, you
know, I was an event last night.

957
00:27:42,240 --> 00:27:43,320
Like you meet people like.

958
00:27:43,320 --> 00:27:44,220
AI can't do that.

959
00:27:44,220 --> 00:27:44,380
Right.

960
00:27:44,380 --> 00:27:46,300
So I'm still a big believer of,

961
00:27:46,320 --> 00:27:47,600
you know, I want to work with you
because of you.

962
00:27:47,600 --> 00:27:47,940
Right.

963
00:27:47,940 --> 00:27:49,460
And I think where I see these

964
00:27:49,580 --> 00:27:50,680
tools is behind the scenes.

965
00:27:51,020 --> 00:27:52,680
They can help you with your

966
00:27:52,680 --> 00:27:52,860
operations.

967
00:27:52,860 --> 00:27:54,470
They can help you with your

968
00:27:54,470 --> 00:27:54,590
workflow.

969
00:27:54,590 --> 00:27:56,590
They can help you with your

970
00:27:56,590 --> 00:27:56,850
content.

971
00:27:56,850 --> 00:27:59,070
But that interpersonal skill, I

972
00:27:59,070 --> 00:28:00,610
think, is super, super important.

973
00:28:00,610 --> 00:28:01,850
The one cool thing that I'll add

974
00:28:01,850 --> 00:28:03,910
about sort of tie in what your
question is, there's tools out

975
00:28:03,910 --> 00:28:06,950
there today that would record our
conversation as we're having this

976
00:28:06,950 --> 00:28:08,430
conversation today and give me
feedback.

977
00:28:08,430 --> 00:28:09,690
In real time.

978
00:28:09,690 --> 00:28:11,820
Hey, Rob, like in the 28 minute

979
00:28:11,820 --> 00:28:15,180
mark, you could have had more
energy or you didn't hear the

980
00:28:15,180 --> 00:28:16,020
objection from the client.

981
00:28:16,020 --> 00:28:17,400
So they actually becoming coaching

982
00:28:17,400 --> 00:28:18,260
tools for you.

983
00:28:18,260 --> 00:28:20,340
And one way I use ChatGPT because

984
00:28:20,340 --> 00:28:21,060
I use it a lot.

985
00:28:21,060 --> 00:28:21,660
I'll ask it.

986
00:28:21,660 --> 00:28:24,240
I'll say, hey, what do you think I
could do better?

987
00:28:24,240 --> 00:28:27,280
Knowing how I worked with you
today, what are some things I

988
00:28:27,280 --> 00:28:28,220
could do better?
And you'll come back.

989
00:28:28,220 --> 00:28:31,480
It'll come back and say, hey, you
could have done this or what about

990
00:28:31,480 --> 00:28:32,420
this?
Or I'll record meetings and put

991
00:28:32,420 --> 00:28:34,500
them in and say, you know, coach
me what I've could have presented

992
00:28:34,500 --> 00:28:34,760
better.

993
00:28:34,840 --> 00:28:35,860
It'll do it for you.

994
00:28:35,860 --> 00:28:36,780
Like it actually becomes your
coach.

995
00:28:36,780 --> 00:28:38,400
You got to be very open and
comfortable to be able to like

996
00:28:38,460 --> 00:28:39,760
take criticism from a computer,
eh?

997
00:28:39,760 --> 00:28:41,590
Like I'm fine with it.

998
00:28:41,590 --> 00:28:42,670
fine with it.

999
00:28:42,810 --> 00:28:45,390
Like, so I would think, would
think, would okay.

1000
00:28:45,530 --> 00:28:48,190
Like you call it an agent, like an
AI agent.

1001
00:28:48,190 --> 00:28:49,490
Is that basically like your
assistant?

1002
00:28:49,490 --> 00:28:52,790
Is that in chat GPT?
Like, do you like buy the pro

1003
00:28:52,790 --> 00:28:54,610
version?
And then like, that's essentially

1004
00:28:54,610 --> 00:28:56,370
like, how do you like build this
assistant?

1005
00:28:56,370 --> 00:28:57,230
Good question.

1006
00:28:57,230 --> 00:28:58,130
And agents, I mean, that's the

1007
00:28:58,130 --> 00:28:59,490
buzzword right now.

1008
00:29:00,040 --> 00:29:01,860
Like a lot of people say agents.

1009
00:29:01,860 --> 00:29:04,680
There's a couple of different
things I'll unpack there.

1010
00:29:04,680 --> 00:29:06,960
One is if you want to create a
digital twin of yourself, that

1011
00:29:06,960 --> 00:29:09,120
would be more like an avatar where
you can use it.

1012
00:29:09,120 --> 00:29:12,560
I think I might have played one at
the presentation.

1013
00:29:12,560 --> 00:29:14,060
Taylor wasn't sure, but that's
your digital avatar.

1014
00:29:14,060 --> 00:29:16,100
So it's basically a duplicate of
you.

1015
00:29:16,100 --> 00:29:17,040
It could create content.

1016
00:29:17,040 --> 00:29:18,840
You can upload a script.

1017
00:29:18,840 --> 00:29:19,620
You'll read a script.

1018
00:29:19,620 --> 00:29:20,840
You can put it on LinkedIn,

1019
00:29:20,840 --> 00:29:21,180
whatever.

1020
00:29:21,180 --> 00:29:22,520
So that's a little bit different.

1021
00:29:22,520 --> 00:29:24,600
Then there's probably two
different sides when it comes to

1022
00:29:24,600 --> 00:29:26,860
sort of that agentic side is one
is you can.

1023
00:29:26,860 --> 00:29:29,300
Create an agent that will do stuff
for you, right?

1024
00:29:29,300 --> 00:29:33,140
You can say, go in and post my
LinkedIn, comment on my LinkedIn,

1025
00:29:33,140 --> 00:29:33,300
whatever.

1026
00:29:33,300 --> 00:29:34,820
That's one area of an agent.

1027
00:29:34,820 --> 00:29:38,300
Another area of an agent, it will,
you know, is I'll answer the phone

1028
00:29:38,300 --> 00:29:39,140
for you.

1029
00:29:39,140 --> 00:29:40,080
So those aren't necessarily built

1030
00:29:40,080 --> 00:29:40,880
in ChatGPT.

1031
00:29:40,880 --> 00:29:42,060
ChatGPT is the wrapper around it

1032
00:29:42,200 --> 00:29:43,380
because it needs to be powered by
something.

1033
00:29:43,540 --> 00:29:47,600
So it needs to be powered by a
large angle of model.

1034
00:29:47,600 --> 00:29:50,000
But you're typically using another
piece of software to layer on top

1035
00:29:50,000 --> 00:29:50,380
of ChatGPT.

1036
00:29:50,380 --> 00:29:51,740
And they're already built.

1037
00:29:51,740 --> 00:29:54,200
Like, it's not like you need to go
code.

1038
00:29:54,200 --> 00:29:55,740
There's ones that, you know,
whatever.

1039
00:29:55,740 --> 00:29:57,750
There's lots of agent software out
there.

1040
00:29:57,750 --> 00:30:00,090
And then the third thing is
workflows, right?

1041
00:30:00,090 --> 00:30:01,390
You can automate workflows.

1042
00:30:01,390 --> 00:30:02,810
You can use tools like make

1043
00:30:02,810 --> 00:30:04,870
com where actually you build an
actual workflow.

1044
00:30:04,870 --> 00:30:07,430
It'll take your work and automate
it for you.

1045
00:30:07,430 --> 00:30:08,190
So it's kind of agentic.

1046
00:30:08,190 --> 00:30:09,790
It's not a person, but it actually

1047
00:30:09,790 --> 00:30:10,850
is automating the workflow.

1048
00:30:11,030 --> 00:30:12,030
An email comes in.

1049
00:30:12,030 --> 00:30:12,990
It goes to ChatGPT and writes it.

1050
00:30:13,350 --> 00:30:14,950
It comes to you to approve it.

1051
00:30:15,110 --> 00:30:15,670
It gets sent.

1052
00:30:15,670 --> 00:30:17,230
It gets added to a database.

1053
00:30:17,230 --> 00:30:18,820
It goes into a drip and it'll
automate.

1054
00:30:18,820 --> 00:30:19,480
do that for you.

1055
00:30:19,480 --> 00:30:20,720
How long does it take to learn?

1056
00:30:20,820 --> 00:30:22,100
Like what's the evolution?
Is it over?

1057
00:30:22,100 --> 00:30:23,400
A couple of days, a couple of
weeks?

1058
00:30:23,400 --> 00:30:26,160
I mean, mean, typically, if you
just wanted to be like an FAQ bot

1059
00:30:26,160 --> 00:30:28,540
on your website, you can do that
in a couple of days.

1060
00:30:28,540 --> 00:30:32,020
If you wanted to really replace
and act like you, we'd like to

1061
00:30:32,140 --> 00:30:35,420
have about a 30 day runway because
you need to train it.

1062
00:30:35,420 --> 00:30:37,960
You need to be able to give it
data like you would record stuff

1063
00:30:38,240 --> 00:30:40,300
like this in meetings and load
your transcript in there.

1064
00:30:40,300 --> 00:30:42,780
So it starts understanding how you
talk, what your tone is.

1065
00:30:42,780 --> 00:30:43,760
Are you professional?
You're not.

1066
00:30:44,000 --> 00:30:45,980
Do you like to joke around?
It actually starts learning and

1067
00:30:45,980 --> 00:30:48,330
then you can tell it not.

1068
00:30:48,330 --> 00:30:49,590
You can say, hey, like.

1069
00:30:49,590 --> 00:30:52,570
I'm known as sort of a little bit
of the jackass in the office and

1070
00:30:52,570 --> 00:30:53,010
I'm witty.

1071
00:30:53,010 --> 00:30:53,410
That's mean.

1072
00:30:53,410 --> 00:30:53,890
I'm OK.

1073
00:30:53,890 --> 00:30:54,630
That's my style.

1074
00:30:54,630 --> 00:30:57,190
But you might say, well, no, like,
you know what, in this meeting, in

1075
00:30:57,190 --> 00:31:00,030
this context, you need to be more
professional.

1076
00:31:00,070 --> 00:31:02,590
So you need to train it to be that
as well.

1077
00:31:02,870 --> 00:31:03,610
It never stops learning.

1078
00:31:03,610 --> 00:31:04,110
Right.

1079
00:31:04,110 --> 00:31:06,690
As you do more, as you do more,
it's going to learn more.

1080
00:31:06,690 --> 00:31:08,150
It's going to learn more.

1081
00:31:08,150 --> 00:31:09,230
It's going to learn more.

1082
00:31:09,230 --> 00:31:11,170
And then right now, like ChatGPT,
I make very little changes to

1083
00:31:11,170 --> 00:31:13,270
anything it does for me because it
knows me.

1084
00:31:13,270 --> 00:31:14,370
Like almost no changes to anything
I do.

1085
00:31:14,370 --> 00:31:17,510
When I first started using it, I
would almost like rewrite it all.

1086
00:31:17,510 --> 00:31:18,730
Because it just didn't know my
tone.

1087
00:31:18,830 --> 00:31:20,510
It didn't know who I was.

1088
00:31:20,510 --> 00:31:21,130
Right.

1089
00:31:21,130 --> 00:31:22,590
So. Oh, my God.

1090
00:31:22,590 --> 00:31:24,970
So how long do you think it'll be

1091
00:31:24,970 --> 00:31:26,970
where you could jump on a podcast
like this?

1092
00:31:27,110 --> 00:31:28,110
It's actually not even you.

1093
00:31:28,110 --> 00:31:28,250
There.

1094
00:31:28,250 --> 00:31:28,990
It's already there.

1095
00:31:29,170 --> 00:31:29,990
already there.

1096
00:31:29,990 --> 00:31:33,550
There's people that's sending
avatars to their virtual meetings.

1097
00:31:33,550 --> 00:31:35,270
Like there's a program called No
Poke LM.

1098
00:31:35,270 --> 00:31:37,790
You can upload a document, go
create a podcast voice, and then

1099
00:31:37,790 --> 00:31:41,490
you can go to Hey Jen and put two
people in front of it.

1100
00:31:41,490 --> 00:31:42,870
And there's your podcast done.

1101
00:31:42,870 --> 00:31:43,490
Oh, damn.

1102
00:31:43,490 --> 00:31:44,450
We're out of the job.

1103
00:31:44,450 --> 00:31:44,590
Yeah.

1104
00:31:44,590 --> 00:31:46,920
The Colorado real estate podcast
is soon to be.

1105
00:31:46,920 --> 00:31:47,420
Oh my God.

1106
00:31:47,520 --> 00:31:47,980
my God.

1107
00:31:47,980 --> 00:31:50,780
I mean, I don't recommend it
necessarily because I think I said

1108
00:31:50,780 --> 00:31:54,360
there's some things that you still
want the human involvement.

1109
00:31:54,360 --> 00:31:55,400
You could do it.

1110
00:31:55,400 --> 00:31:57,640
That's what I mean.

1111
00:31:57,640 --> 00:31:58,080
Like.

1112
00:31:58,080 --> 00:32:00,080
There's not a lot of things out

1113
00:32:00,080 --> 00:32:01,160
there that you could ask.

1114
00:32:01,280 --> 00:32:03,640
And I'm like, no, we can probably

1115
00:32:03,640 --> 00:32:03,840
automate.

1116
00:32:03,840 --> 00:32:06,420
No, we could probably do AI.

1117
00:32:06,420 --> 00:32:08,980
There's almost anything, right?
And that's where I think, again,

1118
00:32:08,980 --> 00:32:11,580
people just need to start wrapping
their heads around that these

1119
00:32:11,580 --> 00:32:12,340
tools are here.

1120
00:32:12,340 --> 00:32:13,520
It's not like this is coming.

1121
00:32:13,520 --> 00:32:14,440
It's here today.

1122
00:32:14,440 --> 00:32:15,620
And that's what people are doing.

1123
00:32:15,630 --> 00:32:17,310
I think I talked about it in the
presentation.

1124
00:32:17,310 --> 00:32:17,570
There's influencers.

1125
00:32:17,570 --> 00:32:18,190
There's AI influencers.

1126
00:32:18,190 --> 00:32:19,820
One in Spain, Tina Lopez, I
believe.

1127
00:32:19,820 --> 00:32:20,240
Maybe Etiana Lopez.

1128
00:32:20,400 --> 00:32:22,320
She has, I don't know, hundreds of

1129
00:32:22,440 --> 00:32:23,120
thousands of followers.

1130
00:32:23,120 --> 00:32:24,920
She makes 10 ,000 euros a month.

1131
00:32:24,920 --> 00:32:26,280
And she's an AI influencer.

1132
00:32:26,280 --> 00:32:26,580
That's insane.

1133
00:32:26,580 --> 00:32:26,800
involvement.

1134
00:32:26,800 --> 00:32:28,240
So I've heard of this and I've

1135
00:32:28,240 --> 00:32:31,080
heard a few other ones, but why
isn't there just like... thousands

1136
00:32:31,080 --> 00:32:33,380
of those now or millions or
exactly why isn't there is there

1137
00:32:33,380 --> 00:32:36,300
going to be we created one so we
have allen colonna and part of it

1138
00:32:36,300 --> 00:32:39,280
was just us testing right to play
with these tools but i think that

1139
00:32:39,280 --> 00:32:42,120
you're not going to know the
difference soon you know that's

1140
00:32:42,120 --> 00:32:45,440
the scary part you're not right
you're not going to know what's

1141
00:32:45,440 --> 00:32:48,240
real and what's ai it's at that
level there's videos created now

1142
00:32:48,240 --> 00:32:50,160
that you would not know do you
think that they're a hollywood

1143
00:32:50,160 --> 00:32:52,560
animated video isn't there is
there going to be we created one

1144
00:32:52,560 --> 00:32:56,360
so we have allen colonna and part
of it was just us testing right to

1145
00:32:56,360 --> 00:32:58,840
play with these tools but i think
that you're not going to know the

1146
00:32:58,840 --> 00:33:01,460
difference soon you know that's
the scary part you're not right

1147
00:33:01,460 --> 00:33:05,120
you're not going to know what's
real and what's ai it's at that

1148
00:33:05,120 --> 00:33:06,460
level there's videos created now
that you would not know do you

1149
00:33:06,460 --> 00:33:07,540
think that they're a hollywood
animated video It's totally not.

1150
00:33:07,540 --> 00:33:10,380
They're just TikTok accounts that
are 100 % AI.

1151
00:33:10,380 --> 00:33:13,400
The big trend right now, if you
guys seen, there's a, I don't know

1152
00:33:13,400 --> 00:33:16,760
if you guys are TikTok guys, but
there's a gorilla in the wild that

1153
00:33:16,760 --> 00:33:17,240
goes in.

1154
00:33:17,240 --> 00:33:18,020
It's all AI.

1155
00:33:18,020 --> 00:33:19,690
It's like one of the most followed
accounts.

1156
00:33:19,690 --> 00:33:22,630
And it's super funny if you like
that kind of humor in a Yeti.

1157
00:33:22,630 --> 00:33:24,090
That's all AI, right?
Like, so there are accounts

1158
00:33:24,090 --> 00:33:25,050
already doing this sort of stuff.

1159
00:33:25,050 --> 00:33:26,230
There really are.

1160
00:33:26,230 --> 00:33:29,890
Do you think it'll just pollute
social media so much that it'll

1161
00:33:29,890 --> 00:33:31,510
just be like boring?
know in.

1162
00:33:31,510 --> 00:33:34,270
you think it'll just pollute
social media so much that it'll

1163
00:33:34,270 --> 00:33:37,290
just be like boring?
Because it would just be so fake.

1164
00:33:37,290 --> 00:33:39,730
So, I mean, I'd argue, like, I
think social media is fake now.

1165
00:33:39,730 --> 00:33:40,610
Yeah, good point.

1166
00:33:40,610 --> 00:33:41,510
Because we're taking pictures

1167
00:33:41,510 --> 00:33:44,510
inside of a Haldell plane and
going, I'm in my jet.

1168
00:33:44,810 --> 00:33:46,270
Right?
Like, so I think you're seeing

1169
00:33:46,270 --> 00:33:48,510
that already, right?
You can rent a Lamborghini and go,

1170
00:33:50,060 --> 00:33:51,940
look, I'm in my new vehicle.

1171
00:33:51,940 --> 00:33:53,600
And they just rented it for 10

1172
00:33:53,600 --> 00:33:54,740
minutes just to do the shot,
right?

1173
00:33:54,740 --> 00:33:57,320
So I'm hoping, again, I'm back to
saying that I'm not worried about

1174
00:33:57,690 --> 00:33:58,170
the tools.

1175
00:33:58,170 --> 00:33:59,170
I'm worried about how the humans

1176
00:33:59,170 --> 00:33:59,950
are going to use them.

1177
00:33:59,950 --> 00:34:01,210
If this is done right, it's about

1178
00:34:01,370 --> 00:34:03,390
working with your clients at a
real personalized level, right?

1179
00:34:03,590 --> 00:34:07,470
So you could create content at
scale and you can have a database

1180
00:34:07,470 --> 00:34:10,449
of 10 ,000 people and send out 10
,000 personalized messages to 10

1181
00:34:10,449 --> 00:34:11,830
,000 people relevant to them.

1182
00:34:11,830 --> 00:34:13,830
And people are going to love it

1183
00:34:13,969 --> 00:34:15,290
because now you're sending me
something that's pertaining to

1184
00:34:15,290 --> 00:34:15,850
Rob.

1185
00:34:16,070 --> 00:34:16,310
right?

1186
00:34:16,310 --> 00:34:20,810
You can people are going to love
it because now you're sending me

1187
00:34:20,810 --> 00:34:22,090
something that's pertaining to
Rob.

1188
00:34:22,170 --> 00:34:25,929
right if you use these tools right
i don't think we'll pollute it now

1189
00:34:25,929 --> 00:34:29,989
can you pollute it for sure 100
you don't think the next election

1190
00:34:29,989 --> 00:34:32,489
that comes is going to be like
they already did a stat on the

1191
00:34:32,489 --> 00:34:36,040
last canadian election and i don't
know it was crazy amount like 60

1192
00:34:36,040 --> 00:34:38,820
of the posts on social media were
bots like going to make comments

1193
00:34:38,820 --> 00:34:40,460
and talking about that yeah That's
what I mean.

1194
00:34:40,460 --> 00:34:41,500
Like it's there already.

1195
00:34:41,500 --> 00:34:42,540
It's how we use it.

1196
00:34:42,540 --> 00:34:45,719
Like it's the most powerful tool
we ever had in my lifetime, for

1197
00:34:45,719 --> 00:34:45,940
sure.

1198
00:34:45,940 --> 00:34:48,340
And you can use it for bad or you

1199
00:34:48,340 --> 00:34:49,219
can use it for good.

1200
00:34:49,219 --> 00:34:50,699
That's my biggest concern is that

1201
00:34:50,699 --> 00:34:53,699
the people with all the power are
going to own these tools.

1202
00:34:53,699 --> 00:34:54,280
That's where I'm worried.

1203
00:34:54,280 --> 00:34:36,520
Like if only Sam Altman and Google

1204
00:34:36,520 --> 00:34:39,239
and Elon own these tools, because
we're not going to create a large

1205
00:34:39,239 --> 00:34:39,940
language model.

1206
00:34:39,940 --> 00:34:40,780
We don't have billions of dollars

1207
00:34:40,780 --> 00:34:41,840
to go create it.

1208
00:34:41,840 --> 00:34:43,520
We're at the mercy of them.

1209
00:34:43,520 --> 00:34:44,960
That's probably where I'm the
biggest thing.

1210
00:34:44,960 --> 00:34:45,400
But today.

1211
00:34:45,400 --> 00:34:46,960
about that yeah We're on level

1212
00:34:46,960 --> 00:34:47,400
playing field.

1213
00:34:47,400 --> 00:34:48,880
Nike uses the same tools that a

1214
00:34:48,880 --> 00:34:50,100
client in Kelowna could use.

1215
00:34:50,100 --> 00:34:50,500
Yeah.

1216
00:34:50,500 --> 00:34:50,940
Same tool.

1217
00:34:50,940 --> 00:34:51,260
Right.

1218
00:34:51,260 --> 00:34:53,960
So that's right now it's a level
playing field for businesses right

1219
00:34:53,960 --> 00:34:54,880
now with these tools.

1220
00:34:54,880 --> 00:34:57,950
Yeah, I guess like related to

1221
00:34:58,050 --> 00:34:58,170
housing.

1222
00:34:58,170 --> 00:34:59,510
Yeah, we have podcasts all the

1223
00:34:59,510 --> 00:35:01,090
time where we just talk about
stuff we're interested in.

1224
00:35:01,090 --> 00:35:01,890
specifically to like Kelowna
housing.

1225
00:35:01,950 --> 00:35:03,390
You know, if a developer was
interested in this geographical

1226
00:35:03,510 --> 00:35:05,330
location, how many people come
here a day?

1227
00:35:05,330 --> 00:35:07,970
What's the traffic like?
What's the density you're allowed?

1228
00:35:07,970 --> 00:35:10,310
Like there's so many things that
you could just input and probably

1229
00:35:10,310 --> 00:35:11,530
have a report in an hour.

1230
00:35:11,530 --> 00:35:12,990
Is it deep thought?

1231
00:35:12,990 --> 00:35:13,370
Deep research.

1232
00:35:13,530 --> 00:35:13,930
Deep research.

1233
00:35:14,050 --> 00:35:14,110
Yeah.

1234
00:35:14,110 --> 00:35:16,010
So is that like taking off

1235
00:35:16,010 --> 00:35:17,410
recently?
Yeah, we just did a project for a

1236
00:35:17,410 --> 00:35:17,530
client.

1237
00:35:17,530 --> 00:35:19,690
I won't mention it, but he's a

1238
00:35:19,690 --> 00:35:17,530
developer in Kelowna that was
looking for that sort of data.

1239
00:35:17,530 --> 00:35:19,690
How many people go into the
downtown core?

1240
00:35:19,690 --> 00:35:21,820
How many competitors are around?
We use deep research to find all

1241
00:35:21,820 --> 00:35:22,760
that data.

1242
00:35:22,980 --> 00:35:24,480
Now, I say research, like, you

1243
00:35:24,620 --> 00:35:26,120
know, look through to make sure
you're right.

1244
00:35:26,900 --> 00:35:30,960
But I mean, it's crazy the amount
of data that it came in and give

1245
00:35:30,980 --> 00:35:31,160
us.

1246
00:35:31,160 --> 00:35:33,660
What it'll do is go get census

1247
00:35:33,660 --> 00:35:33,900
information.

1248
00:35:33,900 --> 00:35:35,940
I mean, there's no different than

1249
00:35:35,940 --> 00:35:37,420
if I had to do it myself.

1250
00:35:37,440 --> 00:35:38,440
Unless I'm going to go stand

1251
00:35:38,440 --> 00:35:40,140
downtown and count people, I'm
pulling it off of the Internet.

1252
00:35:40,140 --> 00:35:41,600
I'm pulling it off reports.

1253
00:35:41,600 --> 00:35:42,700
That's what it did.

1254
00:35:42,700 --> 00:35:45,500
and deep research the way it works
for people who are not familiar is

1255
00:35:45,500 --> 00:35:48,180
that literally like it sounds it
won't give you an answer right

1256
00:35:48,180 --> 00:35:52,420
away it'll like go away and think
and research and like go and dig

1257
00:35:52,540 --> 00:35:52,580
deeper.

1258
00:35:52,580 --> 00:35:55,000
Sometimes it takes half hour to an

1259
00:35:55,000 --> 00:35:57,460
hour to come back to you, but it
comes back with super robust

1260
00:35:57,460 --> 00:35:58,660
information for you.

1261
00:35:58,660 --> 00:36:01,340
And the difference in the free

1262
00:36:01,340 --> 00:36:05,020
version, I think you only get five
of those a month in the pre

1263
00:36:05,020 --> 00:36:03,200
version, you get like exponential
amount, like 20 of the deep

1264
00:36:03,200 --> 00:36:03,740
researches for that industry.

1265
00:36:03,740 --> 00:36:05,020
And like the housing industry,

1266
00:36:05,020 --> 00:36:06,720
super powerful tool that you can
use.

1267
00:36:07,050 --> 00:36:09,610
That's just one simple way that
they can use it.

1268
00:36:09,610 --> 00:36:12,110
You know what else is funny?
Just thinking about this right now

1269
00:36:12,110 --> 00:36:14,970
is like a developer submitting a
proposal to like city hall, they

1270
00:36:14,970 --> 00:36:15,050
could.

1271
00:36:15,050 --> 00:36:16,610
Do this and then have it tailored

1272
00:36:16,610 --> 00:36:19,450
to each counselor and have a
section there that's tailored to

1273
00:36:19,450 --> 00:36:23,390
that counselor to try and get the
votes to vote for it.

1274
00:36:23,390 --> 00:36:23,630
Yeah.

1275
00:36:23,630 --> 00:36:24,010
Right.

1276
00:36:24,010 --> 00:36:27,320
The power of persuasion now is
like kind of taking a huge.

1277
00:36:27,320 --> 00:36:30,280
That's a great point because it's
just these tools have allowed to

1278
00:36:30,280 --> 00:36:31,960
personalize the communication with
whatever audiences 100 percent.

1279
00:36:31,960 --> 00:36:35,220
a great point because it's just
these tools have allowed to

1280
00:36:35,220 --> 00:36:36,140
personalize the communication with
whatever audiences 100 percent.

1281
00:36:36,140 --> 00:36:38,600
And it does it in real time, like
in real time.

1282
00:36:38,600 --> 00:36:38,780
Right.

1283
00:36:38,780 --> 00:36:40,300
So from an education point and, an

1284
00:36:40,300 --> 00:36:42,760
education point and, you know, I'm
talking elementary to university.

1285
00:36:42,840 --> 00:36:45,600
Like, is this being embraced?
by education are they now saying

1286
00:36:45,600 --> 00:36:47,720
like yeah we're promoting this
like here's an assignment use ai

1287
00:36:47,720 --> 00:36:50,080
or is it still no this is our
curriculum like you are not

1288
00:36:50,240 --> 00:36:52,020
allowed to use ai It's super ad
hoc.

1289
00:36:52,020 --> 00:36:26,630
That's like one of my passion
projects of working with AI and

1290
00:36:55,240 --> 00:36:56,400
education in that space.

1291
00:36:56,400 --> 00:36:58,740
And my kids are graduated or soon

1292
00:36:58,740 --> 00:36:59,700
to be graduated.

1293
00:36:59,700 --> 00:37:02,540
But there's an area there that my

1294
00:37:02,720 --> 00:37:04,900
kids school is in Kamloops,
actually goes to school there.

1295
00:37:04,900 --> 00:37:06,880
And they sent a memo or a memo.

1296
00:37:07,020 --> 00:37:08,020
What am I, 1952?

1297
00:37:08,020 --> 00:37:10,560
An email at the start of the
school year that said no Apple

1298
00:37:10,560 --> 00:37:14,460
watches, no phones, no computers,
no iPads in the classroom.

1299
00:37:14,460 --> 00:37:16,640
And I'm like, WTF, this is crazy.

1300
00:37:16,640 --> 00:37:19,260
Like, can you start embracing this

1301
00:37:19,260 --> 00:37:20,960
and teaching the kids how to use
it?

1302
00:37:21,100 --> 00:37:23,200
You don't think my son uses AI.

1303
00:37:23,200 --> 00:37:24,240
His dad teaches AI.

1304
00:37:24,240 --> 00:37:27,820
So of course he uses AI, but I
teach him how to use it properly,

1305
00:37:27,820 --> 00:37:29,560
right?
Like at a university level, some

1306
00:37:29,680 --> 00:37:31,200
educators are embracing this 100%.

1307
00:37:31,600 --> 00:37:32,920
And some educators are like, no,

1308
00:37:32,920 --> 00:37:35,000
you can't use it in my classroom.

1309
00:37:35,000 --> 00:37:36,200
So there's not a consistent policy

1310
00:37:36,200 --> 00:37:36,480
in place.

1311
00:37:36,480 --> 00:37:38,100
It's starting to come around

1312
00:37:38,100 --> 00:37:38,240
overseas.

1313
00:37:38,240 --> 00:37:39,660
They're teaching it in China.

1314
00:37:39,660 --> 00:37:40,680
They're teaching it at like...

1315
00:37:40,680 --> 00:37:42,640
Grade two level, grade one level,

1316
00:37:42,640 --> 00:37:43,400
because it's coming.

1317
00:37:43,400 --> 00:37:44,720
You shouldn't shelter the kids

1318
00:37:44,720 --> 00:37:47,260
from it because they're going to
be at a disadvantage because

1319
00:37:47,520 --> 00:37:48,900
they're going to graduate and come
into the workforce.

1320
00:37:48,900 --> 00:37:51,000
Right now, we're not hiring unless
you know these tools.

1321
00:37:51,000 --> 00:37:53,280
Plain and simple, you know, our
team is either use it or you can

1322
00:37:53,280 --> 00:37:54,980
go find another job.

1323
00:37:54,980 --> 00:37:56,120
And I don't sound like an ass

1324
00:37:56,120 --> 00:37:57,520
saying it, but it's because it's
efficiency to our clients.

1325
00:37:57,520 --> 00:38:00,380
Like in our industry, we're
working with our clients' money.

1326
00:38:00,380 --> 00:38:02,920
right it's not our money we're
working with our clients money we

1327
00:38:02,920 --> 00:38:05,000
need to be as efficient as
possible and if you know use these

1328
00:38:05,000 --> 00:38:07,780
tools or at least want to learn so
these kids that are coming out of

1329
00:38:07,780 --> 00:38:10,060
university or high school and
don't have the knowledge and how

1330
00:38:10,060 --> 00:38:13,590
to use it properly they're not
going to find jobs.

1331
00:38:13,590 --> 00:38:16,030
Because if I know it and you
don't, I'm going to get hired

1332
00:38:16,030 --> 00:38:16,410
before you.

1333
00:38:16,410 --> 00:38:19,050
So to answer your question, it's

1334
00:38:19,050 --> 00:38:20,330
really ad hoc right now.

1335
00:38:20,330 --> 00:38:21,390
Like there's no policy in place,

1336
00:38:21,390 --> 00:38:22,310
but it's starting to come.

1337
00:38:22,310 --> 00:38:23,370
Like we're starting to hear more,

1338
00:38:23,530 --> 00:38:25,490
starting to implement it more,
starting to bring it into

1339
00:38:25,490 --> 00:38:26,350
classrooms more.

1340
00:38:26,350 --> 00:38:27,890
I think we're going to start

1341
00:38:27,890 --> 00:38:31,590
seeing it because they have to,
because I think the shift is going

1342
00:38:31,590 --> 00:38:32,350
to come.

1343
00:38:32,350 --> 00:38:33,650
And I mean, I don't know where

1344
00:38:33,650 --> 00:38:34,170
it's going to go.

1345
00:38:34,270 --> 00:38:35,070
There's AI schools in the US.

1346
00:38:35,070 --> 00:38:38,750
There's schools that only teach
using AI in the US right now,

1347
00:38:38,750 --> 00:38:39,330
right?
So.

1348
00:38:39,330 --> 00:38:39,530
Wow.

1349
00:38:39,870 --> 00:38:40,130
Yeah.

1350
00:38:40,130 --> 00:38:41,010
Well, segue into teaching.

1351
00:38:41,010 --> 00:38:43,370
I believe you have.

1352
00:38:43,370 --> 00:38:46,690
course starting in like 15 minutes
so we gotta we gotta let you go

1353
00:38:46,690 --> 00:38:48,930
but what is your education process
like can people sign up for

1354
00:38:48,930 --> 00:38:51,590
courses that you currently run
gotta let you Yeah, I mean, right

1355
00:38:51,890 --> 00:38:53,230
now I only have one course.

1356
00:38:53,230 --> 00:38:54,490
It's called the AI Advantage.

1357
00:38:54,490 --> 00:38:56,590
It's a six -week course.

1358
00:38:56,590 --> 00:38:53,050
I teach it for six weeks, take a

1359
00:38:53,050 --> 00:38:54,730
little bit of a break, teach it
again.

1360
00:38:54,730 --> 00:38:58,630
Once you sign up once, you're in
it forever.

1361
00:38:58,850 --> 00:39:02,050
So you can come take the sprints
as many times because these change

1362
00:39:02,250 --> 00:39:02,850
all the time.

1363
00:39:02,850 --> 00:39:04,310
It's the only sort of paid course

1364
00:39:04,430 --> 00:39:04,670
I have.

1365
00:39:04,750 --> 00:39:05,030
It's $197.

1366
00:39:05,030 --> 00:39:07,170
It's really reasonable.

1367
00:39:07,570 --> 00:39:08,470
It's six weeks.

1368
00:39:08,470 --> 00:39:11,030
But we also do free workshops.

1369
00:39:11,030 --> 00:39:13,510
We do lots of free workshops.

1370
00:39:13,510 --> 00:39:15,890
Every month I do a free webinar.

1371
00:39:15,890 --> 00:39:17,430
So we try to just get education

1372
00:39:17,430 --> 00:39:17,890
out there.

1373
00:39:17,890 --> 00:39:18,410
That's my focus.

1374
00:39:18,410 --> 00:39:21,160
right now is education side to get
people the businesses understand

1375
00:39:21,160 --> 00:39:24,660
we're going to be launching a boot
camp in august we're just working

1376
00:39:24,660 --> 00:39:27,040
through that a three -day boot
camp people just want to condense

1377
00:39:27,040 --> 00:39:31,880
sort of learning i teach more on
like i want to say the basics like

1378
00:39:31,900 --> 00:39:34,140
any business can come in and
really understand and the idea is

1379
00:39:34,140 --> 00:39:38,020
by the end of the six weeks i give
you homework go build your logo go

1380
00:39:38,020 --> 00:39:42,600
build your website go build your
video like so every class you're

1381
00:39:42,600 --> 00:39:46,700
building on it and by the end of
six weeks you kind of have

1382
00:39:46,700 --> 00:39:48,860
something you're leaving with as
well That's sort of how I teach.

1383
00:39:48,940 --> 00:39:51,880
And if you want to go deeper, you
know, UBCO has programs online.

1384
00:39:51,880 --> 00:39:53,020
They've got a lot of programs.

1385
00:39:53,020 --> 00:39:53,760
I teach all the modalities and

1386
00:39:53,760 --> 00:39:54,760
just getting real baseline.

1387
00:39:54,760 --> 00:39:57,280
I'm going to show you some tools.

1388
00:39:57,280 --> 00:40:00,440
I'm going to teach you theory.

1389
00:40:00,440 --> 00:40:02,180
And then you can go off, explore

1390
00:40:02,180 --> 00:40:03,460
yourself a little bit with these
tools.

1391
00:40:03,460 --> 00:40:06,940
That's sort of the program, how
it's set up.

1392
00:40:06,940 --> 00:40:07,100
Awesome.

1393
00:40:07,100 --> 00:40:08,960
And if somebody is running a

1394
00:40:08,960 --> 00:40:11,740
business like you work with
business people to do like a

1395
00:40:11,740 --> 00:40:13,960
whiteboard session, audit them,
see what you can streamline,

1396
00:40:13,960 --> 00:40:14,660
implement this stuff.

1397
00:40:14,660 --> 00:40:15,540
So I nerd out on this stuff.

1398
00:40:15,540 --> 00:40:16,980
nerd out on this stuff.

1399
00:40:16,980 --> 00:40:18,260
Happy to come in, work with

1400
00:40:18,260 --> 00:40:22,120
businesses and kind of map out how
they can add AI and automation in

1401
00:40:22,120 --> 00:40:24,760
their businesses and build them a
little bit of framework on how

1402
00:40:24,760 --> 00:40:25,400
they can do that.

1403
00:40:25,400 --> 00:40:26,180
And every business is different.

1404
00:40:26,180 --> 00:40:29,380
So we kind of do, yeah, we do this
whiteboard session where we come

1405
00:40:29,540 --> 00:40:31,360
in and really understand the
business operations, the workflow,

1406
00:40:31,360 --> 00:40:33,800
and then see where we can add
value within AI and automation

1407
00:40:33,800 --> 00:40:34,620
within those for sure.

1408
00:40:34,620 --> 00:40:34,940
I love it.

1409
00:40:34,940 --> 00:40:38,100
Well, how can people reach out to
you if they have any questions?

1410
00:40:38,100 --> 00:40:39,880
The best way for me is LinkedIn.

1411
00:40:39,880 --> 00:40:41,280
The best way for me is LinkedIn.

1412
00:40:41,280 --> 00:40:44,020
Like you think in the industry, I
mean, I'd be in all the social

1413
00:40:44,620 --> 00:40:47,120
channels, but the best way you can
go to our website, checkcreative

1414
00:40:47,120 --> 00:40:48,360
com or my LinkedIn, Rob Capello,
easy to find.

1415
00:40:48,360 --> 00:40:49,720
I'm active on LinkedIn.

1416
00:40:49,720 --> 00:40:51,180
You can message me on LinkedIn.

1417
00:40:51,180 --> 00:40:53,260
I'm always happy to grab coffee
and chat as well.

1418
00:40:53,480 --> 00:40:55,040
So it's probably the best way to
reach me.

1419
00:40:55,040 --> 00:40:57,220
Well, thank you so much for your
time, Rob.

1420
00:40:57,600 --> 00:40:58,180
Really appreciate it, man.

1421
00:40:58,180 --> 00:40:58,360
Yeah.

1422
00:40:58,360 --> 00:40:59,480
Thanks a ton.

1423
00:40:59,480 --> 00:40:59,900
Like so fascinating.

1424
00:40:59,900 --> 00:41:00,760
Next time I'm sending my avatar.

1425
00:41:00,760 --> 00:41:02,140
time I'm sending my avatar.

1426
00:41:02,140 --> 00:41:02,300
Yes.

1427
00:41:02,300 --> 00:41:03,320
I'm questioning right now if I'm

1428
00:41:03,320 --> 00:41:04,140
speaking to you or not.

1429
00:41:04,140 --> 00:41:04,360
Okay.

1430
00:41:04,360 --> 00:41:04,520
Thanks.

1431
00:41:04,520 --> 00:41:05,880
Well, have a great day, man.