November 29, 2023 • 28 mins
Ready to unlock the mysteries of Artificial Intelligence? We embark on a fascinating journey with Chris Carr, the maestro of AI and the mind behind Farotech. We start off our discourse with the power of small efforts and their monumental contribution to success, drawing insights from the wisdom of timeless authors such as Robert Collier and Napoleon Hill. Chris tells tales from his MIT AI study days and discusses his instrumental role in helping companies swim rather than sink in the swiftly flowing river of AI progress.
We then dive into the mesmerizing world of AI through Chris's eyes. He discusses his youthful venture of seeding Farotech and nurturing its growth over the years. We plunge into the current state of AI, scrutinizing both its sparkling positives and shadowy negatives. There's a colossal AI comet hurtling towards us and Chris emphasizes the urgency to prepare for the impact. He brings us an enlightening snapshot from his comprehensive presentation on AI, focusing on its present state and the potential of large language models.
We then look forward to AI's impact on the world, the wonders of the ADA code interpreter, the magic of ChatGPT in music and video creation, and the ethical conundrums that AI presents. We also chew over intriguing scenarios like the digital resurrection of Elvis and AI's capability to churn out music custom-tailored for individuals. We round off our conversation underlining the criticality of responsible AI use and predict potential hurdles in the race to AI dominance.
About Chris Carr:
Chris Carr is the President and CEO of Farotech. Chris started Farotech over 22 years ago and is widely considered an expert in AI technologies, Digital Marketing, Video Production. Chris is the host of two podcasts, Thought Leader Magazine and Digital Marketing Masterclass. Chris hosts AI Workshops around the country, helping to walk companies through the rapidly evolving AI space.
Connect with Chris:
Website farotech.com
LinkedIn linkedin.com/in/chris-carr-84b1a02
Instagram instagram.com/farotechmarketing
Facebook facebook.com/farotechmarketing
Twitter twitter.com/Farotech
YouTube youtube.com/c/Farotech
This episode is brought to you by Farotech, Where Art and Science Meet. Go to farotech.com to learn more.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Announcer (00:01):
Entrepreneur, author and financial consultant, Marc
Bernstein helps high-performingentrepreneurial business owners
create a vision for the futureand follow through on their
goals and intentions.
Ang Onorato is a businessgrowth strategies to blend
psychology and business togetherto create conscious leaders and
business owners who impact theworld.
Founders Forum is a radio showpodcast sharing the real stories
(00:24):
behind entrepreneurship asfounders discover more about
themselves, while providingvaluable lessons and some fun
and entertainment for you.
Now here's Marc and Ang.
Marc Bernstein (00:35):
Should I get back home?
I never did that before.
I wanted to sing along to myown music, so I've never done
that before.
Anyway, good morning America.
Happy to be here on this cloudyday in Philadelphia.
I haven't had to say that for awhile because we've had so many
sunny Wednesdays for the lastseveral weeks, but we've got a
great guest line up this morningand let's get right into it.
(00:59):
So you know, every once in awhile we I pull out some quotes,
because I'm a collector ofquotes, and I was reading one
this morning Ang and Chris, ourguest, Chris Carr, who I'll
introduce in a few minutes, andthis is the quote.
Success is a sum of smallefforts, repeated day in and day
out.
So, Ang, what do you make ofthat one?
Ang Onorato (01:21):
Yeah, I love that.
You know and you and I werechatting earlier today about
having like an effective morningroutine and that was something
I've struggled with over theyears and I think I've
understood the importance ofdoing the small micro things.
You know, little micro habitsthat lead to the bigger
successes, and I just think it'sbeen transformational.
(01:41):
So I love that quote and it's agood reminder every day to help
me get out of bed and getmoving.
Marc Bernstein (01:47):
So that was Robert Collier.
By the way, I know you did alittle research on Robert
Collier.
I know that name, but I can'tremember what he's known for.
Ang Onorato (01:54):
Yeah, so Robert Collier is, you know, along the
lines of a Wallace Waddles andyou know that era of new thought
leaders, you know metaphysicalscholars, things of that nature.
So you know, I think he startedwriting books in the early
1900s and it's amazing howrelevant it still is today.
I love it.
Marc Bernstein (02:13):
He's from the class of Napoleon Hill, I would
imagine too.
Ang Onorato (02:17):
Yeah, exactly.
Marc Bernstein (02:18):
For our second show we'll record today.
We're gonna talk about NapoleonHill a little bit.
Chris.
What do you make of that quote?
Christopher Carr (02:24):
Well, I think it's funny how things just keep
recycling and coming back again.
You know there's one of thebest-selling books right now.
It's Atomic Habits.
Marc Bernstein (02:32):
Oh yeah.
Announcer (02:33):
Everyone's making it sound like it's the greatest
thing since last read Right newSomething like you said these
habits are.
Christopher Carr (02:39):
You know what makes the man, what makes the
business, what you know justwhat makes things tick.
I once heard that like a greatentrepreneur is judged like is
he absolutely, almost bored withhis job and the aspect of he's
it's so repetitious of doingthings great?
You know, better and better andbetter.
You know, like Chick-fil-A,they didn't want to try to take
(03:00):
over the whole world, he justsaid I want to make chicken the
best possible way we could.
And then, once he got that down, it was like became nuclear.
Marc Bernstein (03:08):
And there are lines to get in.
Yeah, incredible.
Yeah.
And the other thing you knowabout, not that there aren't new
ideas, there's new, there's newversions of ideas.
But Napoleon Hill in the 1980s,I had a group that studied the
law of success.
It was like the success Bibleand there isn't too much, you
hear, that's not in there andthat was written in the early
(03:29):
1900s, along with Robert Collierand these other people.
Yeah, pretty amazing stuff.
So all you got to do is get tothe basics and they still apply,
although the basics arechanging because of AI, which
we're gonna talk about today.
So let me tell you about ChrisCarr.
He's the president and CEO ofFarotech.
He started the company over 22years ago we did the math this
(03:51):
morning that made him 23 yearsold when he started the business
and he's widely considered anexpert in AI technologies,
digital marketing and videoproduction.
Chris is the host of actuallythree podcasts the Thought
Leader magazine and digitalmarketing masterclass, along
with a newer one, businessinnovations, ai and I think,
(04:12):
chris, I'd like you to have givea little plug for those
podcasts at some point, becauseI think our listeners will find
some interest there.
Chris hosts AI workshops aroundthe country and he helps to
walk companies through therapidly evolving AI space.
And we say rapidly evolving,we're not kidding, right, that's
right.
And I also just want to mentionthat he's finishing up a
(04:32):
certification in AI at MIT.
We were talking about some ofhis experiences there, which are
kind of fascinating.
So with that, chris, tell ushow you got from, how you got to
starting this in in 20 at 23,because that's an interesting
story.
And then I want to hear alittle bit.
We would like to hear a littlebit about how you progressed
over the years to where Farotechis today.
(04:54):
Sure, sure.
Christopher Carr (04:56):
Well, you know it's.
It's kind of we were talkingbefore the show.
It's kind of like the familiarroad of every artist.
Somehow there was like a girlthat you know was the catalyst
right, and so I dated a rockstars exactly yeah, dated a girl
in college, the Casanova.
We broke up the Casanova that Iam thought, hey, you know what?
(05:18):
She's an artist, I'm gonna puther art online and that's gonna
be the missing link and she'llcome running back to my arms and
all that stuff.
And so I tried to hire somebody.
They couldn't do it.
Then I tried to hire anothercompany they couldn't do it.
And so I was like you know, toheck with it, I'll learn
programming and try to do itmyself.
That was about six months laterand I barely even remembered
the girl anymore.
But here I am, like knee-deepin code and things like that,
(05:40):
and you know, I started buildingwebsites and then from websites
we were talking about.
Behind every great man, there'sa woman rolling her eyes yeah,
you guys that's my wife and mine, although I have to say it
since we're on the radio, she'salso my greatest cheerleader,
yeah, and my greatest eye rollermy wife isn't listening, so
(06:01):
anyway, let's move on, yeah yeah, you know, then got into web
development and web developmentwas, you know, went from one
website to two websites and thentwo websites to one employee,
and then you multiply that, youknow, over time, and you know
you wake up one day and you have, you know, 22 full-time
employees and 50 with 50 people,with subcontractors yeah,
(06:22):
subcontractors.
and so I looked back at thisgirl who started this whole mess
for me and she has no idea likethe kidney stones I have to do
when I have payroll.
So she's still one.
She's still one.
That's pretty fun.
Marc Bernstein (06:33):
Well, but you're you're.
You may not have won the waryet, but I know you're.
You're fighting the battles forsure so that's the way it goes,
so Tell you know what.
Let's talk a little bit aboutthe state of AI we had.
I told you we had another gueston who focuses on manufacturing
processes is the main thingthat he does, and there's so
(06:56):
many different aspects to AI, solet's talk about that.
Your view of uses of AI, yourview of where you think the
whole thing's headed, and.
You know, the positive and thenegative, and you know, there's
all kinds of all kinds of stuff.
Christopher Carr (07:11):
So yeah, Well, there's a lot of that I mean.
So my background was I like Isaid I had a podcast and the
gentleman that came on mypodcast in 2020.
It's a gentleman named PaulRoitzer and Paul had an agency
just like mine.
I got him on the show, I said,hey, let's talk about your
agency.
And he's like Evidently youdidn't do your research.
I sold the agency.
I do this thing calledartificial intelligence, and so
(07:32):
it's an hour-long podcast.
And by the time I got done thatpodcast, this was in 2020.
This was like like right beforeCOVID, and I just hung up the
phone the podcast that I said tomy business partner everything
is gonna change and it's gonnareally whack our industry and to
turn transparently I'm.
I refuse, after building thisbusiness for 20 years, to get
(07:53):
rolled by this.
So we're, as an organization,we're gonna get ahead of it.
And I went from beingcompletely afraid of it which in
some days, some days I still amto who isn't yeah exactly to
just realizing you know whatthis thing is like a rocket ship
.
And so I just kind of dove inand I've been holding on ever
since and what it's done?
(08:14):
It's just it forced me to kindof learn faster and Like a
roller coaster exactly exactly,and what happened was I.
I started to realize that themore I learned about AI and the
more businesses I talked to, wewere just radically unprepared
for this.
This asteroid that's sort ofcoming to earth and Chat GPT
(08:34):
when it rolled out, novemberShould have been the wake-up
call, and some people are justwe're talking about a all the
time, but we're not talkingabout the ramifications, where
it's at, where it's going andhow to be prepared, and that's
that's very concerning to me,and so, while I do the lecture
and it does help me grow mybusiness it's also kind of a
mission of mercy, just saying,hey, you know what?
You as an organization like youneed to be ahead of this,
(08:57):
because this is not gonna stopfor you.
Marc Bernstein (09:00):
By the way, this weekend was, you know, flipping
channels through movies and Istarted watching up which I
forgot I had seen before.
But it's a little like that,looking up the sky waiting for
the comet to attack, right?
Yeah, yeah, yeah yeah, was that.
Christopher Carr (09:13):
Don't look up, don't look up.
I use that in my In mypresentation.
Marc Bernstein (09:18):
Oh, that's right , you did.
Christopher Carr (09:19):
Yeah, I mean this thing's coming towards
earth and some people arelooking at me like, oh my gosh,
how do we prepare right?
And others are like, oh, Idon't think so, I think it'll
miss.
I'm like now it's coming rightat us.
Marc Bernstein (09:29):
So in your presentations I've seen it, but
I'd like for the audience totell what do you talk about in
the presentation?
Christopher Carr (09:35):
Well, you know , I talked obviously where,
where it's at, and I'll justtell you some real quick stories
about that.
And then I break it down and acouple different things.
One is how to leverage what'scalled large language models,
and the most famous one thatpeople know about is called chat
GPT, and that's simply likejust using natural language,
just talking to a machine andgetting outputs.
(09:57):
You know, I mean I know thatyou have some funny stories
about some of the things you didright away.
You know with it, but in myindustry, you know we use it to
write content, write blogs,write emails, basically anything
that would take cognitivethought.
But it goes beyond that.
I mean you can talk to it likeit's the smartest Intern you've
ever had.
The second thing we do is wetalk about something called.
(10:19):
It used to be called codeinterpreter, it's now called ADA
, which means advanced man ADA,advanced digital.
Yeah, it's basically it'sanalytics.
I'm so sorry I forget theactual term.
We call it ADA for so long, butessentially what it is is the
idea that code interpreter andthen other spreadsheets that we
(10:42):
are going to now have access to,you can talk to the data.
I mean you upload a raw dataset a spreadsheet of random
things, I guess you would say,and then it imports it and you
can talk to it and just say, hey, read all the data, show me
some visualizations, show mesome graphs, show me some
correlations, show me somecausations.
And why is this graph goingdown to the right?
(11:03):
That doesn't look like goodgrowth.
And it'll say well, if you dothese three things, this is how
you can make it go up to theright.
Marc Bernstein (11:11):
So it's actually like the continuation of the
large language models byteaching the large language
models.
Christopher Carr (11:16):
It is.
It's like having a master'slevel data analyst right in your
pocket.
And then some things I'll talkto you about.
Ang Onorato (11:23):
It's almost like that's the intelligence part of
this, right, Chris?
So you've got the data part andyou've got the communication,
but to me that's almost now.
It's analytics, actually usingintelligence to give you output?
Christopher Carr (11:34):
Amazing.
And then I talk about two otherthings.
I talk about how multimedia,like, we have this thing called
mid-journey, which you basicallytype into it and it creates a
picture or a video if you'reusing runway.
But a lot of people are like,oh, it's so cute, you know, I
mean it's so cool, and they makepictures of cute unicorns and
they show their buddies, and Iwas like you have no idea what
(11:55):
they're going to be doing withthis, and I can talk a little
bit about that today.
And then, finally, everycompany is going to have an AI
in their building, in theirbusiness, and I want to talk to
you about that is coming, thatyou should be preparing for that
, and then how to make sure youdon't do it right and avoid
doing it in a way that's notresponsible, that's going to
(12:16):
basically eliminate the peoplein your office or, you know, to
keep humans first.
Marc Bernstein (12:20):
How to do it right and responsibly.
That's right, got it.
So where would you like to gofrom there?
Because you just said a lot?
Christopher Carr (12:30):
Yeah, well, tell your story about you got
onto ChatGBT and what was thefirst thing you did.
Marc Bernstein (12:36):
Well, my mother had a 90th birthday this year.
We had a party coming up andeveryone was going to speak and
everyone in my family knows I'mgoing to do it somehow with
music, and so the pressure wason.
Christopher Carr (12:46):
Yeah.
Marc Bernstein (12:47):
It wasn't coming up with anything.
So ChatGPT and I wrote the songtogether, even gave me the
chords, said what kind of musicdo you like?
And I am put.
You know, I told the bands Ilike and the kind of music I
play in my band and that kind ofthing, and it came out exactly
with a chord progression that Iknew that was just very easy to
put a melody to.
And not only that usually if Iwrite three verses in a song
(13:10):
that's a lot.
I had about 10 verses and theonly complaint about the song
when I did it I cut it down tomaybe six and there was like did
it have to be so great song,but did it have to be so long?
Announcer (13:21):
I had too many ideas.
Christopher Carr (13:23):
So yeah, anyway so you know, Andrew, have
you used ChatGBT?
Have you played around with it?
Ang Onorato (13:31):
Yeah, I have to say I've been using it, you know,
kind of daily.
I'm so not sophisticated yet,but you know, in the work that I
do, what I'm still using it foris kind of a really glorified
wordsmithing or word editor, tobe honest.
Or, you know, I will create myown content because it's in my
mind what I want, and then I'llplug it in and say write this
(13:51):
better, write it more concise,write it, you know, with this
tone, and what it comes backwith is like just amazing and it
.
So I'm seeing the time savingsthere, I'm seeing the fact that
it makes my jumble of thoughtsin my head sound like the actual
thought leader that I want tocome across as being, and
sometimes just, you know, don'thave the, the wherewithal myself
(14:13):
to do it.
So I'm, you know, using itevery day but I feel like still
on the tip of the iceberg.
But you know, chris, one of thethings in well, we'll maybe lay
this question out and then takea break and then come back and
really have you dive into it alittle bit.
But you talked about the fact ofyou know the people plant,
chiming in and using it andfinding a unicorn and you saying
(14:33):
you have no idea where this isgoing, and I think that's
something that is still sounknown and such a great area to
people, which is the likenessand the images of people, right?
So my sister is in the filmindustry and obviously we know
what's going on there and youknow the writer strike is done,
but the actors are stillfighting for what's going to
happen to their images and theirlikeness.
(14:54):
You know they can make wholemovies now by just a single
image of an actor that waswalking down the street,
captured in People Magazine orsomething.
So how do you?
Marc Bernstein (15:05):
You know, Elvis is going to be touring soon too.
Ang Onorato (15:08):
Yeah, yeah, exactly Right.
Christopher Carr (15:10):
And that's not .
That's not even.
I mean, that's a scratch on thesurface.
I mean Post Malone was on JoeRogan and he was talking about
how AI would be in a scenariowhere it'll generate music that
sounds just like me, but it'llread your social media and it'll
change this, the theme of thesong, to oh, you broke up with
(15:31):
your boyfriend and you lost yourdog, and it'll have every
detail about you and your life.
So it'll sound like Post Malonebut it'll be 100% personalized
to you and that was, so everyonewill be Taylor Swift then.
Basically In theory yeah, and sothat's sort of how I'm circling
back to Angie's question.
So you were saying I was sayingyou have no idea where this is
coming.
So this is a story I tell in mylecture is that a lot of times
(15:52):
people will get on these toolsand they'll create a real cute
unicorn and they're like, oh, mygoodness, that's so cute
looking and it's wonderful thatI just said something and it
just turned into a picture.
But the story I tell is that mybusiness partner's name is Todd
and he likes golf and Me too.
Marc Bernstein (16:10):
Yeah, he likes golf.
Christopher Carr (16:11):
Right, and so, as someone who buys golf clubs,
one of the things that thesegenerative art things are going
to be able to do is it's goingto be able to read the content
on Todd's phone through withsomething called contentai.
And so every ad that Todd willsee about golf, you buy from
people and companies that youknow, like and trust.
Well, who do you think Toddknows, likes and trusts more
(16:34):
than anybody Himself?
Yes, and so these ads are goingto look, in theory, just like
you, so it's.
Marc Bernstein (16:42):
It's what Facebook ads now, except it's
taken two generations further.
Christopher Carr (16:46):
Exactly so that golfer will look like him.
It'll know what clothing Toddwears, so it'll be a blue shirt
because Todd likes blue.
You know if it's an Asian womanthat loves her kids.
Marc Bernstein (16:57):
Todd, so far, we're exactly.
Christopher Carr (17:02):
If it's like an Asian woman who loves her
kids, you're going to see iPhoneads and it's just going to
happen to be, you know, an Asianwoman with kids, that's holding
an iPhone.
Marc Bernstein (17:13):
Chris, that's a great place to break.
We're going to have a quicksponsor ad and we'll be back in
a minute 60 seconds with morefounders for them.
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Marc Bernstein (18:24):
We are back with founders forum, with my co-host
, anjana Arado, and our specialguest today, chris Carr of
FaroTech.
So, anj, I think you had aquestion that we were starting
to go down that road before thebreak.
Ang Onorato (18:38):
Yeah, we were talking about the massive
opportunity and really, maybethe challenge and, in some cases
, the fear of where AI can comein and really kind of just
almost take over our lives.
And so, you know, chris, youand I were talking offline also
about the question in the backof everybody's mind.
Or the other question I wouldsay is is this going to take my
(18:59):
job?
Is it going to completely, youknow, take away my entire
industry, right?
So a part of what I do is anexecutive recruiting and you
know AI can very easily postjobs and find candidates and do
all of that.
So one of the questions I haveis how are you?
You're educating and you're athought leader, but what are you
finding in terms of you know,how do you keep your people
(19:20):
engaged and, as you said, keepthe humans first before the work
, and then, where are you seeingit changing in terms of what
kind of roles are emerging andhow do you reskill people to
keep up with the pace of AI andjobs and all kinds of things of
that nature?
Christopher Carr (19:36):
Yeah, it's a great question, and it's one
that I get all the time.
I think one of the first thingsthat I would say is that you
are not going to lose your jobto AI, but you will probably
lose a job to another individualwho is using AI if you're not
willing to use it, and so what Ireally preach is that, whether
you are a company or anindividual, this is a toolset
(19:59):
you want to be.
You know better than yourneighbor, better than you know
my same neighbor I meanliterally the person in the
cubicle next to you and so theimportant thing to do is to know
that technology is not goinganywhere.
In fact, it's just goingstraight up, and so my
recommendation is to upgradeyour toolset as an individual,
but also as a company.
You know, you want to upgradeyour, you know, upscale your
(20:22):
employees and you want to beable to make sure that you're
teaching them these technologies, because, while I do believe
there will be a lot of jobs thatare eliminated by AI and I can
talk to you about a little bitof those but a lot of what we're
going to see is they're goingto be augmented or changed and
you're not going to be doing thesame job, but you will be doing
a job at a different level,with a different level of
(20:44):
efficiency, all because of thesetools.
And so, to tell you, this is alittle bit of the wild west.
We don't entirely know, but Iknow there are certain sectors,
like if you are a coder or ifyou do, you are a translator
like changing, you know, liketranslating, like language and
stuff, it's going to reallywhack your industry.
I'm marketing.
(21:04):
It's going to hit my industry,like you know, like a
sledgehammer.
And so you know, I don't saythat glibly, I say that as a
person who's in the crosshairs.
Marc Bernstein (21:13):
So it is.
So someone who's willing toembrace AI and change with it
and perhaps learn new skillsaround it should be fine in
theory, although we don't reallyknow for sure how it's going to
work.
Christopher Carr (21:24):
That's right, and if you're not in your own
job, at least you'll be.
You know you'll have enoughskills to be able to find a job
and maybe another space.
It's not like you're going tobe on the bread lines.
You know what.
Marc Bernstein (21:34):
I mean yeah, chris, you're a future looking
guy.
You're a forward looking guy.
Yeah, as you know, I'm in acompany and our slogan is March
Forward.
So we're always forward lookingand we embrace, we get clients
who are forward looking.
So my question to you islooking out to the future.
So let's talk about three yearsfrom now, one of my favorite
questions that we like to ask usif this were fall of 2026 and
(21:56):
you're looking back on the lastthree years, what would have to
happen into your business?
What would have to happen, ifyou want to, in your personal
life, professional life, for youto feel like that was a
successful three year period?
Christopher Carr (22:10):
Well, the first thing and I'm going to
keep most of this to AI is thefirst thing I would do is is
that, as an individual, I wantto do everything I can to know
this, to know all the thingsthat I can.
I want to know the largelanguage models, I want to know
how to use Jatchi BT, I want tobe able to understand how to
talk to my data, and I want tounderstand how AI can be
(22:31):
implemented into my company andhow I personally can take
advantage of that, becausethere's going to be a lot of
individuals and a lot ofcompanies who are going to do
the ostrich maneuver, where theybury their head in the sand,
and those people won't be aroundfor long.
Marc Bernstein (22:46):
I just want to stop you for one second.
So you're an AI company, butit's really what you're becoming
.
Who is still figuring out howto use AI in your company for
your own use, as well as yourclients' use Every minute?
Christopher Carr (22:58):
I have AirPods in all the time.
I don't listen to the radio oneforever.
I know you're a music guy and Iapologize for that, but it's
changing by the minute and whileI don't think the average
person has to know theidiocycracies like I do because
I'm kind of like preaching theSunday sermon on this but I do
believe that they have to knowthis and they have to get
training, and I don't wait foryour employer to give it to you.
(23:18):
You probably have to go out onyour own time and tool up for
this.
Marc Bernstein (23:22):
Well, as you mentioned earlier, you live,
sleep and breathe AI, so I'mgoing to ask you a little bit
about that.
I know you're not listening asmuch.
I know you're reading books, sowe'll talk about that.
What challenges do you thinkyou face, what obstacles being
your way of accomplishing yourvision of and I'm not sure you
finished the vision because Istopped you at learning but
(23:44):
let's finish your vision andthen I'll ask you what obstacles
are in the way.
Christopher Carr (23:47):
Yeah, and then the next thing you do is just
that you want to experiment withthese things.
In other words, don't wait forthe industry to pick the AI
industry to pick the Nike of theindustry, meaning what I mean
by that is like the one companyto dominate, because there's
about five or six companies thatall I expected to have like a
trillion dollar valuation, and Idon't believe it's just going
(24:08):
to be one winner.
I think it's going to be acombination of maybe four to
five major winners and I'mafraid that people or companies
are just waiting way too long totry to let the dust settle and,
in the meantime, theircompetition, if they're using
these tools, they are rounding.
Second, it's not like, oh,they're just halfway to.
(24:29):
First, these tools are rocketfuel and so if you are a late
adopter, even if you catch up,you're not going to catch up
nearly as fast.
You know there's a there's likean investment expression that
says like if you invest from age20 to age 30 and stop and
someone else invests at age 30forward, it's a very good chance
(24:50):
that that individual, justbecause they started late, won't
catch you.
And in some ways, that couldpossibly be true for AI, and I I
say get involved early.
It's like another moon race in asense, it's absolutely a moon
race.
You know, and you as a company,where we're a, we're a big fish
in a very small pond.
I would not let me rephrasethat.
(25:11):
There are companies out there,like everything from Tesla to
Microsoft to Google and thingslike that, that are making
tectonic take, tectonic shift inin how we communicate as a
civilization, as a humanity, andand it eventually ripples down
to us.
But keep in mind that thesecompanies have no Desire to slow
(25:34):
the train down right, and soit's gonna be really important
for you to you know, to do thethings that are necessary to
keep pace.
Ang Onorato (25:43):
Literally a race to Mars as well, you know, and
that's also a yeah, we don'thave a lot of time left, chris,
but you also mentioned that's agood segue into the Hoping that
people do the right thing.
But where do you see regulationor potential regulation playing
a part, if at all?
Christopher Carr (25:59):
Yep, yep, that's a great question.
Just in the real quick versionis that they.
I'm pro regulation, but I alsobelieve it was something called
regulation capture, and what Ifear is is that these big
companies are Racing toregulations so that they can
stop the smaller companies fromgaining advantage, because the
smaller open source companieshave a way of leapfrogging these
(26:20):
big companies.
And so every time I seeregulation, I think it's good
for humanity, but I also havethis quibono thing in the back
of my mind that's saying theseguys aren't just like asking the
federal government to putbrakes on what they're doing.
I think there's a strategybehind it.
Marc Bernstein (26:37):
Chris, I'm not sure we still finished your
vision, but as you were talkingabout the vision, you talked
about the obstacles as well.
Mm-hmm, let me jump for asecond, because we only have
about another minute.
You mentioned that you're notlistening to music.
I get it, I understand why, andI know that you're reading.
What are you reading?
Because that might beeducational to our listeners too
.
Christopher Carr (26:54):
I'm sure it has to do with AI well, the joke
I have is that people say, what, what's the best book you've
you've ever read?
I said, well, probably the lastone.
I'm right, right, right.
I'm reading one now calledgenius makers by Kate Metz, and
it basically gives the wholeorigin on AI from like the early
you know 60s to the present,and when you look back you can
(27:16):
kind of Trace the pieces inreverse and it really turns the
light bulb on like, oh my gosh,I get it like this is what they
were planning years ago andthese are the things that you're
just not seeing.
Marc Bernstein (27:28):
Well, you think about it.
In the 60s we saw all kinds ofscience fiction about robots and
space and all that kind ofstuff, and all this is we're
looking in the rear view mirror.
Ang Onorato (27:38):
At all that already interesting, right, right well,
the Jetsons had it all figuredout back.
You know, on Saturday morningcartoons and we're living that
whole world.
Marc Bernstein (27:47):
Look, I always, I always think of.
I went to the 1964 World's Fairin General Electric and they
had Picture phones, you know,like the Jetsons uh-huh right,
it's a big deal and all thoseyears I kept saying where those
picture phones they talked aboutand they never really appeared
in that, in that model.
Yeah, but all of a sudden ourphones or everything you know,
you know and it's you'recarrying All everything digital
(28:08):
in your pocket which is, and I'msure that's that's.
That's until it's implanted inour brains.
Ang Onorato (28:14):
Yeah, flying cars are next, that's right.
Marc Bernstein (28:17):
So, listen, I think we're about done today,
chris, thanks so much for beinghere is enlightening.
We may have to have you forpart two at some point.
Christopher Carr (28:24):
I mean wonderful.
Marc Bernstein (28:25):
Thank you all for listening today to Founders
Forum.
Thank you and everybody, have agreat day and we'll see you
next week.
Announcer (28:32):
We hope you enjoyed your time with Founders Forum
today and you found value totake with you throughout your
day.
Join us again next week foranother episode of Founders
Forum on Wwwdb talk radio andalways at the Founders Forum
show page at wwwamcom.
Entrepreneur, author and financial consultant, Marc
Bernstein helps high-performingentrepreneurial business owners
create a vision for the futureand follow through on their
goals and intentions.
Ang Onorato is a businessgrowth strategies to blend
psychology and business togetherto create conscious leaders and
business owners who impact theworld.
Founders Forum is a radio showpodcast sharing the real stories
(00:24):
behind entrepreneurship asfounders discover more about
themselves, while providingvaluable lessons and some fun
and entertainment for you.
Now here's Marc and Ang.
Marc Bernstein (00:35):
Should I get back home?
I never did that before.
I wanted to sing along to myown music, so I've never done
that before.
Anyway, good morning America.
Happy to be here on this cloudyday in Philadelphia.
I haven't had to say that for awhile because we've had so many
sunny Wednesdays for the lastseveral weeks, but we've got a
great guest line up this morningand let's get right into it.
(00:59):
So you know, every once in awhile we I pull out some quotes,
because I'm a collector ofquotes, and I was reading one
this morning Ang and Chris, ourguest, Chris Carr, who I'll
introduce in a few minutes, andthis is the quote.
Success is a sum of smallefforts, repeated day in and day
out.
So, Ang, what do you make ofthat one?
Ang Onorato (01:21):
Yeah, I love that.
You know and you and I werechatting earlier today about
having like an effective morningroutine and that was something
I've struggled with over theyears and I think I've
understood the importance ofdoing the small micro things.
You know, little micro habitsthat lead to the bigger
successes, and I just think it'sbeen transformational.
(01:41):
So I love that quote and it's agood reminder every day to help
me get out of bed and getmoving.
Marc Bernstein (01:47):
So that was Robert Collier.
By the way, I know you did alittle research on Robert
Collier.
I know that name, but I can'tremember what he's known for.
Ang Onorato (01:54):
Yeah, so Robert Collier is, you know, along the
lines of a Wallace Waddles andyou know that era of new thought
leaders, you know metaphysicalscholars, things of that nature.
So you know, I think he startedwriting books in the early
1900s and it's amazing howrelevant it still is today.
I love it.
Marc Bernstein (02:13):
He's from the class of Napoleon Hill, I would
imagine too.
Ang Onorato (02:17):
Yeah, exactly.
Marc Bernstein (02:18):
For our second show we'll record today.
We're gonna talk about NapoleonHill a little bit.
Chris.
What do you make of that quote?
Christopher Carr (02:24):
Well, I think it's funny how things just keep
recycling and coming back again.
You know there's one of thebest-selling books right now.
It's Atomic Habits.
Marc Bernstein (02:32):
Oh yeah.
Announcer (02:33):
Everyone's making it sound like it's the greatest
thing since last read Right newSomething like you said these
habits are.
Christopher Carr (02:39):
You know what makes the man, what makes the
business, what you know justwhat makes things tick.
I once heard that like a greatentrepreneur is judged like is
he absolutely, almost bored withhis job and the aspect of he's
it's so repetitious of doingthings great?
You know, better and better andbetter.
You know, like Chick-fil-A,they didn't want to try to take
(03:00):
over the whole world, he justsaid I want to make chicken the
best possible way we could.
And then, once he got that down, it was like became nuclear.
Marc Bernstein (03:08):
And there are lines to get in.
Yeah, incredible.
Yeah.
And the other thing you knowabout, not that there aren't new
ideas, there's new, there's newversions of ideas.
But Napoleon Hill in the 1980s,I had a group that studied the
law of success.
It was like the success Bibleand there isn't too much, you
hear, that's not in there andthat was written in the early
(03:29):
1900s, along with Robert Collierand these other people.
Yeah, pretty amazing stuff.
So all you got to do is get tothe basics and they still apply,
although the basics arechanging because of AI, which
we're gonna talk about today.
So let me tell you about ChrisCarr.
He's the president and CEO ofFarotech.
He started the company over 22years ago we did the math this
(03:51):
morning that made him 23 yearsold when he started the business
and he's widely considered anexpert in AI technologies,
digital marketing and videoproduction.
Chris is the host of actuallythree podcasts the Thought
Leader magazine and digitalmarketing masterclass, along
with a newer one, businessinnovations, ai and I think,
(04:12):
chris, I'd like you to have givea little plug for those
podcasts at some point, becauseI think our listeners will find
some interest there.
Chris hosts AI workshops aroundthe country and he helps to
walk companies through therapidly evolving AI space.
And we say rapidly evolving,we're not kidding, right, that's
right.
And I also just want to mentionthat he's finishing up a
(04:32):
certification in AI at MIT.
We were talking about some ofhis experiences there, which are
kind of fascinating.
So with that, chris, tell ushow you got from, how you got to
starting this in in 20 at 23,because that's an interesting
story.
And then I want to hear alittle bit.
We would like to hear a littlebit about how you progressed
over the years to where Farotechis today.
(04:54):
Sure, sure.
Christopher Carr (04:56):
Well, you know it's.
It's kind of we were talkingbefore the show.
It's kind of like the familiarroad of every artist.
Somehow there was like a girlthat you know was the catalyst
right, and so I dated a rockstars exactly yeah, dated a girl
in college, the Casanova.
We broke up the Casanova that Iam thought, hey, you know what?
(05:18):
She's an artist, I'm gonna puther art online and that's gonna
be the missing link and she'llcome running back to my arms and
all that stuff.
And so I tried to hire somebody.
They couldn't do it.
Then I tried to hire anothercompany they couldn't do it.
And so I was like you know, toheck with it, I'll learn
programming and try to do itmyself.
That was about six months laterand I barely even remembered
the girl anymore.
But here I am, like knee-deepin code and things like that,
(05:40):
and you know, I started buildingwebsites and then from websites
we were talking about.
Behind every great man, there'sa woman rolling her eyes yeah,
you guys that's my wife and mine, although I have to say it
since we're on the radio, she'salso my greatest cheerleader,
yeah, and my greatest eye rollermy wife isn't listening, so
(06:01):
anyway, let's move on, yeah yeah, you know, then got into web
development and web developmentwas, you know, went from one
website to two websites and thentwo websites to one employee,
and then you multiply that, youknow, over time, and you know
you wake up one day and you have, you know, 22 full-time
employees and 50 with 50 people,with subcontractors yeah,
(06:22):
subcontractors.
and so I looked back at thisgirl who started this whole mess
for me and she has no idea likethe kidney stones I have to do
when I have payroll.
So she's still one.
She's still one.
That's pretty fun.
Marc Bernstein (06:33):
Well, but you're you're.
You may not have won the waryet, but I know you're.
You're fighting the battles forsure so that's the way it goes,
so Tell you know what.
Let's talk a little bit aboutthe state of AI we had.
I told you we had another gueston who focuses on manufacturing
processes is the main thingthat he does, and there's so
(06:56):
many different aspects to AI, solet's talk about that.
Your view of uses of AI, yourview of where you think the
whole thing's headed, and.
You know, the positive and thenegative, and you know, there's
all kinds of all kinds of stuff.
Christopher Carr (07:11):
So yeah, Well, there's a lot of that I mean.
So my background was I like Isaid I had a podcast and the
gentleman that came on mypodcast in 2020.
It's a gentleman named PaulRoitzer and Paul had an agency
just like mine.
I got him on the show, I said,hey, let's talk about your
agency.
And he's like Evidently youdidn't do your research.
I sold the agency.
I do this thing calledartificial intelligence, and so
(07:32):
it's an hour-long podcast.
And by the time I got done thatpodcast, this was in 2020.
This was like like right beforeCOVID, and I just hung up the
phone the podcast that I said tomy business partner everything
is gonna change and it's gonnareally whack our industry and to
turn transparently I'm.
I refuse, after building thisbusiness for 20 years, to get
(07:53):
rolled by this.
So we're, as an organization,we're gonna get ahead of it.
And I went from beingcompletely afraid of it which in
some days, some days I still amto who isn't yeah exactly to
just realizing you know whatthis thing is like a rocket ship
.
And so I just kind of dove inand I've been holding on ever
since and what it's done?
(08:14):
It's just it forced me to kindof learn faster and Like a
roller coaster exactly exactly,and what happened was I.
I started to realize that themore I learned about AI and the
more businesses I talked to, wewere just radically unprepared
for this.
This asteroid that's sort ofcoming to earth and Chat GPT
(08:34):
when it rolled out, novemberShould have been the wake-up
call, and some people are justwe're talking about a all the
time, but we're not talkingabout the ramifications, where
it's at, where it's going andhow to be prepared, and that's
that's very concerning to me,and so, while I do the lecture
and it does help me grow mybusiness it's also kind of a
mission of mercy, just saying,hey, you know what?
You as an organization like youneed to be ahead of this,
(08:57):
because this is not gonna stopfor you.
Marc Bernstein (09:00):
By the way, this weekend was, you know, flipping
channels through movies and Istarted watching up which I
forgot I had seen before.
But it's a little like that,looking up the sky waiting for
the comet to attack, right?
Yeah, yeah, yeah yeah, was that.
Christopher Carr (09:13):
Don't look up, don't look up.
I use that in my In mypresentation.
Marc Bernstein (09:18):
Oh, that's right , you did.
Christopher Carr (09:19):
Yeah, I mean this thing's coming towards
earth and some people arelooking at me like, oh my gosh,
how do we prepare right?
And others are like, oh, Idon't think so, I think it'll
miss.
I'm like now it's coming rightat us.
Marc Bernstein (09:29):
So in your presentations I've seen it, but
I'd like for the audience totell what do you talk about in
the presentation?
Christopher Carr (09:35):
Well, you know , I talked obviously where,
where it's at, and I'll justtell you some real quick stories
about that.
And then I break it down and acouple different things.
One is how to leverage what'scalled large language models,
and the most famous one thatpeople know about is called chat
GPT, and that's simply likejust using natural language,
just talking to a machine andgetting outputs.
(09:57):
You know, I mean I know thatyou have some funny stories
about some of the things you didright away.
You know with it, but in myindustry, you know we use it to
write content, write blogs,write emails, basically anything
that would take cognitivethought.
But it goes beyond that.
I mean you can talk to it likeit's the smartest Intern you've
ever had.
The second thing we do is wetalk about something called.
(10:19):
It used to be called codeinterpreter, it's now called ADA
, which means advanced man ADA,advanced digital.
Yeah, it's basically it'sanalytics.
I'm so sorry I forget theactual term.
We call it ADA for so long, butessentially what it is is the
idea that code interpreter andthen other spreadsheets that we
(10:42):
are going to now have access to,you can talk to the data.
I mean you upload a raw dataset a spreadsheet of random
things, I guess you would say,and then it imports it and you
can talk to it and just say, hey, read all the data, show me
some visualizations, show mesome graphs, show me some
correlations, show me somecausations.
And why is this graph goingdown to the right?
(11:03):
That doesn't look like goodgrowth.
And it'll say well, if you dothese three things, this is how
you can make it go up to theright.
Marc Bernstein (11:11):
So it's actually like the continuation of the
large language models byteaching the large language
models.
Christopher Carr (11:16):
It is.
It's like having a master'slevel data analyst right in your
pocket.
And then some things I'll talkto you about.
Ang Onorato (11:23):
It's almost like that's the intelligence part of
this, right, Chris?
So you've got the data part andyou've got the communication,
but to me that's almost now.
It's analytics, actually usingintelligence to give you output?
Christopher Carr (11:34):
Amazing.
And then I talk about two otherthings.
I talk about how multimedia,like, we have this thing called
mid-journey, which you basicallytype into it and it creates a
picture or a video if you'reusing runway.
But a lot of people are like,oh, it's so cute, you know, I
mean it's so cool, and they makepictures of cute unicorns and
they show their buddies, and Iwas like you have no idea what
(11:55):
they're going to be doing withthis, and I can talk a little
bit about that today.
And then, finally, everycompany is going to have an AI
in their building, in theirbusiness, and I want to talk to
you about that is coming, thatyou should be preparing for that
, and then how to make sure youdon't do it right and avoid
doing it in a way that's notresponsible, that's going to
(12:16):
basically eliminate the peoplein your office or, you know, to
keep humans first.
Marc Bernstein (12:20):
How to do it right and responsibly.
That's right, got it.
So where would you like to gofrom there?
Because you just said a lot?
Christopher Carr (12:30):
Yeah, well, tell your story about you got
onto ChatGBT and what was thefirst thing you did.
Marc Bernstein (12:36):
Well, my mother had a 90th birthday this year.
We had a party coming up andeveryone was going to speak and
everyone in my family knows I'mgoing to do it somehow with
music, and so the pressure wason.
Christopher Carr (12:46):
Yeah.
Marc Bernstein (12:47):
It wasn't coming up with anything.
So ChatGPT and I wrote the songtogether, even gave me the
chords, said what kind of musicdo you like?
And I am put.
You know, I told the bands Ilike and the kind of music I
play in my band and that kind ofthing, and it came out exactly
with a chord progression that Iknew that was just very easy to
put a melody to.
And not only that usually if Iwrite three verses in a song
(13:10):
that's a lot.
I had about 10 verses and theonly complaint about the song
when I did it I cut it down tomaybe six and there was like did
it have to be so great song,but did it have to be so long?
Announcer (13:21):
I had too many ideas.
Christopher Carr (13:23):
So yeah, anyway so you know, Andrew, have
you used ChatGBT?
Have you played around with it?
Ang Onorato (13:31):
Yeah, I have to say I've been using it, you know,
kind of daily.
I'm so not sophisticated yet,but you know, in the work that I
do, what I'm still using it foris kind of a really glorified
wordsmithing or word editor, tobe honest.
Or, you know, I will create myown content because it's in my
mind what I want, and then I'llplug it in and say write this
(13:51):
better, write it more concise,write it, you know, with this
tone, and what it comes backwith is like just amazing and it
.
So I'm seeing the time savingsthere, I'm seeing the fact that
it makes my jumble of thoughtsin my head sound like the actual
thought leader that I want tocome across as being, and
sometimes just, you know, don'thave the, the wherewithal myself
(14:13):
to do it.
So I'm, you know, using itevery day but I feel like still
on the tip of the iceberg.
But you know, chris, one of thethings in well, we'll maybe lay
this question out and then takea break and then come back and
really have you dive into it alittle bit.
But you talked about the fact ofyou know the people plant,
chiming in and using it andfinding a unicorn and you saying
(14:33):
you have no idea where this isgoing, and I think that's
something that is still sounknown and such a great area to
people, which is the likenessand the images of people, right?
So my sister is in the filmindustry and obviously we know
what's going on there and youknow the writer strike is done,
but the actors are stillfighting for what's going to
happen to their images and theirlikeness.
(14:54):
You know they can make wholemovies now by just a single
image of an actor that waswalking down the street,
captured in People Magazine orsomething.
So how do you?
Marc Bernstein (15:05):
You know, Elvis is going to be touring soon too.
Ang Onorato (15:08):
Yeah, yeah, exactly Right.
Christopher Carr (15:10):
And that's not .
That's not even.
I mean, that's a scratch on thesurface.
I mean Post Malone was on JoeRogan and he was talking about
how AI would be in a scenariowhere it'll generate music that
sounds just like me, but it'llread your social media and it'll
change this, the theme of thesong, to oh, you broke up with
(15:31):
your boyfriend and you lost yourdog, and it'll have every
detail about you and your life.
So it'll sound like Post Malonebut it'll be 100% personalized
to you and that was, so everyonewill be Taylor Swift then.
Basically In theory yeah, and sothat's sort of how I'm circling
back to Angie's question.
So you were saying I was sayingyou have no idea where this is
coming.
So this is a story I tell in mylecture is that a lot of times
(15:52):
people will get on these toolsand they'll create a real cute
unicorn and they're like, oh, mygoodness, that's so cute
looking and it's wonderful thatI just said something and it
just turned into a picture.
But the story I tell is that mybusiness partner's name is Todd
and he likes golf and Me too.
Marc Bernstein (16:10):
Yeah, he likes golf.
Christopher Carr (16:11):
Right, and so, as someone who buys golf clubs,
one of the things that thesegenerative art things are going
to be able to do is it's goingto be able to read the content
on Todd's phone through withsomething called contentai.
And so every ad that Todd willsee about golf, you buy from
people and companies that youknow, like and trust.
Well, who do you think Toddknows, likes and trusts more
(16:34):
than anybody Himself?
Yes, and so these ads are goingto look, in theory, just like
you, so it's.
Marc Bernstein (16:42):
It's what Facebook ads now, except it's
taken two generations further.
Christopher Carr (16:46):
Exactly so that golfer will look like him.
It'll know what clothing Toddwears, so it'll be a blue shirt
because Todd likes blue.
You know if it's an Asian womanthat loves her kids.
Marc Bernstein (16:57):
Todd, so far, we're exactly.
Christopher Carr (17:02):
If it's like an Asian woman who loves her
kids, you're going to see iPhoneads and it's just going to
happen to be, you know, an Asianwoman with kids, that's holding
an iPhone.
Marc Bernstein (17:13):
Chris, that's a great place to break.
We're going to have a quicksponsor ad and we'll be back in
a minute 60 seconds with morefounders for them.
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(17:43):
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Marc Bernstein (18:24):
We are back with founders forum, with my co-host
, anjana Arado, and our specialguest today, chris Carr of
FaroTech.
So, anj, I think you had aquestion that we were starting
to go down that road before thebreak.
Ang Onorato (18:38):
Yeah, we were talking about the massive
opportunity and really, maybethe challenge and, in some cases
, the fear of where AI can comein and really kind of just
almost take over our lives.
And so, you know, chris, youand I were talking offline also
about the question in the backof everybody's mind.
Or the other question I wouldsay is is this going to take my
(18:59):
job?
Is it going to completely, youknow, take away my entire
industry, right?
So a part of what I do is anexecutive recruiting and you
know AI can very easily postjobs and find candidates and do
all of that.
So one of the questions I haveis how are you?
You're educating and you're athought leader, but what are you
finding in terms of you know,how do you keep your people
(19:20):
engaged and, as you said, keepthe humans first before the work
, and then, where are you seeingit changing in terms of what
kind of roles are emerging andhow do you reskill people to
keep up with the pace of AI andjobs and all kinds of things of
that nature?
Christopher Carr (19:36):
Yeah, it's a great question, and it's one
that I get all the time.
I think one of the first thingsthat I would say is that you
are not going to lose your jobto AI, but you will probably
lose a job to another individualwho is using AI if you're not
willing to use it, and so what Ireally preach is that, whether
you are a company or anindividual, this is a toolset
(19:59):
you want to be.
You know better than yourneighbor, better than you know
my same neighbor I meanliterally the person in the
cubicle next to you and so theimportant thing to do is to know
that technology is not goinganywhere.
In fact, it's just goingstraight up, and so my
recommendation is to upgradeyour toolset as an individual,
but also as a company.
You know, you want to upgradeyour, you know, upscale your
(20:22):
employees and you want to beable to make sure that you're
teaching them these technologies, because, while I do believe
there will be a lot of jobs thatare eliminated by AI and I can
talk to you about a little bitof those but a lot of what we're
going to see is they're goingto be augmented or changed and
you're not going to be doing thesame job, but you will be doing
a job at a different level,with a different level of
(20:44):
efficiency, all because of thesetools.
And so, to tell you, this is alittle bit of the wild west.
We don't entirely know, but Iknow there are certain sectors,
like if you are a coder or ifyou do, you are a translator
like changing, you know, liketranslating, like language and
stuff, it's going to reallywhack your industry.
I'm marketing.
(21:04):
It's going to hit my industry,like you know, like a
sledgehammer.
And so you know, I don't saythat glibly, I say that as a
person who's in the crosshairs.
Marc Bernstein (21:13):
So it is.
So someone who's willing toembrace AI and change with it
and perhaps learn new skillsaround it should be fine in
theory, although we don't reallyknow for sure how it's going to
work.
Christopher Carr (21:24):
That's right, and if you're not in your own
job, at least you'll be.
You know you'll have enoughskills to be able to find a job
and maybe another space.
It's not like you're going tobe on the bread lines.
You know what.
Marc Bernstein (21:34):
I mean yeah, chris, you're a future looking
guy.
You're a forward looking guy.
Yeah, as you know, I'm in acompany and our slogan is March
Forward.
So we're always forward lookingand we embrace, we get clients
who are forward looking.
So my question to you islooking out to the future.
So let's talk about three yearsfrom now, one of my favorite
questions that we like to ask usif this were fall of 2026 and
(21:56):
you're looking back on the lastthree years, what would have to
happen into your business?
What would have to happen, ifyou want to, in your personal
life, professional life, for youto feel like that was a
successful three year period?
Christopher Carr (22:10):
Well, the first thing and I'm going to
keep most of this to AI is thefirst thing I would do is is
that, as an individual, I wantto do everything I can to know
this, to know all the thingsthat I can.
I want to know the largelanguage models, I want to know
how to use Jatchi BT, I want tobe able to understand how to
talk to my data, and I want tounderstand how AI can be
(22:31):
implemented into my company andhow I personally can take
advantage of that, becausethere's going to be a lot of
individuals and a lot ofcompanies who are going to do
the ostrich maneuver, where theybury their head in the sand,
and those people won't be aroundfor long.
Marc Bernstein (22:46):
I just want to stop you for one second.
So you're an AI company, butit's really what you're becoming
.
Who is still figuring out howto use AI in your company for
your own use, as well as yourclients' use Every minute?
Christopher Carr (22:58):
I have AirPods in all the time.
I don't listen to the radio oneforever.
I know you're a music guy and Iapologize for that, but it's
changing by the minute and whileI don't think the average
person has to know theidiocycracies like I do because
I'm kind of like preaching theSunday sermon on this but I do
believe that they have to knowthis and they have to get
training, and I don't wait foryour employer to give it to you.
(23:18):
You probably have to go out onyour own time and tool up for
this.
Marc Bernstein (23:22):
Well, as you mentioned earlier, you live,
sleep and breathe AI, so I'mgoing to ask you a little bit
about that.
I know you're not listening asmuch.
I know you're reading books, sowe'll talk about that.
What challenges do you thinkyou face, what obstacles being
your way of accomplishing yourvision of and I'm not sure you
finished the vision because Istopped you at learning but
(23:44):
let's finish your vision andthen I'll ask you what obstacles
are in the way.
Christopher Carr (23:47):
Yeah, and then the next thing you do is just
that you want to experiment withthese things.
In other words, don't wait forthe industry to pick the AI
industry to pick the Nike of theindustry, meaning what I mean
by that is like the one companyto dominate, because there's
about five or six companies thatall I expected to have like a
trillion dollar valuation, and Idon't believe it's just going
(24:08):
to be one winner.
I think it's going to be acombination of maybe four to
five major winners and I'mafraid that people or companies
are just waiting way too long totry to let the dust settle and,
in the meantime, theircompetition, if they're using
these tools, they are rounding.
Second, it's not like, oh,they're just halfway to.
(24:29):
First, these tools are rocketfuel and so if you are a late
adopter, even if you catch up,you're not going to catch up
nearly as fast.
You know there's a there's likean investment expression that
says like if you invest from age20 to age 30 and stop and
someone else invests at age 30forward, it's a very good chance
(24:50):
that that individual, justbecause they started late, won't
catch you.
And in some ways, that couldpossibly be true for AI, and I I
say get involved early.
It's like another moon race in asense, it's absolutely a moon
race.
You know, and you as a company,where we're a, we're a big fish
in a very small pond.
I would not let me rephrasethat.
(25:11):
There are companies out there,like everything from Tesla to
Microsoft to Google and thingslike that, that are making
tectonic take, tectonic shift inin how we communicate as a
civilization, as a humanity, andand it eventually ripples down
to us.
But keep in mind that thesecompanies have no Desire to slow
(25:34):
the train down right, and soit's gonna be really important
for you to you know, to do thethings that are necessary to
keep pace.
Ang Onorato (25:43):
Literally a race to Mars as well, you know, and
that's also a yeah, we don'thave a lot of time left, chris,
but you also mentioned that's agood segue into the Hoping that
people do the right thing.
But where do you see regulationor potential regulation playing
a part, if at all?
Christopher Carr (25:59):
Yep, yep, that's a great question.
Just in the real quick versionis that they.
I'm pro regulation, but I alsobelieve it was something called
regulation capture, and what Ifear is is that these big
companies are Racing toregulations so that they can
stop the smaller companies fromgaining advantage, because the
smaller open source companieshave a way of leapfrogging these
(26:20):
big companies.
And so every time I seeregulation, I think it's good
for humanity, but I also havethis quibono thing in the back
of my mind that's saying theseguys aren't just like asking the
federal government to putbrakes on what they're doing.
I think there's a strategybehind it.
Marc Bernstein (26:37):
Chris, I'm not sure we still finished your
vision, but as you were talkingabout the vision, you talked
about the obstacles as well.
Mm-hmm, let me jump for asecond, because we only have
about another minute.
You mentioned that you're notlistening to music.
I get it, I understand why, andI know that you're reading.
What are you reading?
Because that might beeducational to our listeners too
.
Christopher Carr (26:54):
I'm sure it has to do with AI well, the joke
I have is that people say, what, what's the best book you've
you've ever read?
I said, well, probably the lastone.
I'm right, right, right.
I'm reading one now calledgenius makers by Kate Metz, and
it basically gives the wholeorigin on AI from like the early
you know 60s to the present,and when you look back you can
(27:16):
kind of Trace the pieces inreverse and it really turns the
light bulb on like, oh my gosh,I get it like this is what they
were planning years ago andthese are the things that you're
just not seeing.
Marc Bernstein (27:28):
Well, you think about it.
In the 60s we saw all kinds ofscience fiction about robots and
space and all that kind ofstuff, and all this is we're
looking in the rear view mirror.
Ang Onorato (27:38):
At all that already interesting, right, right well,
the Jetsons had it all figuredout back.
You know, on Saturday morningcartoons and we're living that
whole world.
Marc Bernstein (27:47):
Look, I always, I always think of.
I went to the 1964 World's Fairin General Electric and they
had Picture phones, you know,like the Jetsons uh-huh right,
it's a big deal and all thoseyears I kept saying where those
picture phones they talked aboutand they never really appeared
in that, in that model.
Yeah, but all of a sudden ourphones or everything you know,
you know and it's you'recarrying All everything digital
(28:08):
in your pocket which is, and I'msure that's that's.
That's until it's implanted inour brains.
Ang Onorato (28:14):
Yeah, flying cars are next, that's right.
Marc Bernstein (28:17):
So, listen, I think we're about done today,
chris, thanks so much for beinghere is enlightening.
We may have to have you forpart two at some point.
Christopher Carr (28:24):
I mean wonderful.
Marc Bernstein (28:25):
Thank you all for listening today to Founders
Forum.
Thank you and everybody, have agreat day and we'll see you
next week.
Announcer (28:32):
We hope you enjoyed your time with Founders Forum
today and you found value totake with you throughout your
day.
Join us again next week foranother episode of Founders
Forum on Wwwdb talk radio andalways at the Founders Forum
show page at wwwamcom.
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