0:06

l and

0:21

the

0:28

been the AI year here

0:30

now . At the beginning of this year I

0:33

started off . I did

0:35

like three or four episodes and when I called it the AI takeover

0:37

and that was like in January and that was only after using

0:39

chat GPT . I remember talking to you about this

0:41

and it was so incredible to

0:44

me at that time , like I was like this is

0:46

incredible , it's gonna change the world and all that stuff . And

0:48

fast forward here four

0:51

or five months roughly

0:53

six at the time of recording . Actually , in

0:56

AI , i'm seeing a lot of AI stuff . There's

0:58

been a lot of AI companies . There's a lot of AI

1:01

. There's people who feel like it's gonna take over the

1:03

world . There's people who feel like it's gonna try to take over humanity

1:05

. There's people who feel like it's gonna help humanity

1:07

And I'm seeing a lot more AI

1:09

stuff . And one of the things that's interesting to me is

1:12

how we feel like AI is gonna affect an aging

1:15

group of people . Now we know

1:17

that when we or at least I should say

1:19

that from even having a computer store or

1:21

just living through the

1:23

internet and the advent of technology

1:25

becoming so much more important in our lives via

1:28

smartphones , whatever it may be that

1:30

you had slower adoption there for

1:33

a lot of people There's a lot of people who kinda get stuck in their

1:35

ways And , if you think about

1:37

it , if you're talking to a person

1:39

that's lived a vast majority of their life without

1:41

something , whether it is AI

1:43

, which all of us have lived the vast majority of our

1:45

lives without because it's so

1:48

new , at least in the

1:50

way that it is now , cause there's been Alexa and

1:52

Siri and all that stuff . That's all still AI

1:55

, so we've had that in our lives for a while , but

1:57

AI in its generative form and newest

1:59

form is very new for a lot of people And

2:03

I wonder about the adoption here

2:05

. Now , you personally , how

2:07

quick are you to adopt new technology

2:09

And we've talked about this with the iPhone for you , laura , and

2:14

you fought the good fight with that last iPhone that you

2:16

had How

2:18

quick are you to adopt onto new

2:20

technology and stuff yourself , laura ?

2:25

So , believe it or not , reggie

2:27

, i really am quick to adopt new

2:30

technology , right ? I

2:32

think I'm just old enough to where I question

2:35

things and I'm not gonna go blindly into

2:37

things . With the phone

2:39

situation , i just felt like Apple

2:42

was forcing me to

2:45

upgrade , And so that was my my

2:47

hesitance in yeah

2:51

, it really was my protest , Like

2:54

why can't my phone

2:56

work at this number

2:58

as opposed to that number ? I

3:00

think that was what I was grappling

3:02

with , but they won

3:05

ultimately And

3:08

I gave in . But

3:11

when it comes to AI , i'm excited

3:13

. There's

3:17

an anxiousness not necessarily

3:20

anxious , and

3:22

just kind of anxious to see the

3:25

hype . Like , if it's gonna live up to

3:27

the hype , and if it does , it

3:29

could prove to be as amazing

3:32

as it could

3:35

be detrimental . So

3:38

, like anything , right .

3:40

Correct , correct , and I

3:43

personally I'm a tech guy so

3:45

I love it . I'm always first adopter

3:47

. I'm running in head first

3:50

to see what's what

3:52

may be on the horizon for people , you know , maybe

3:55

on the horizon for humanity , and that's where

3:57

I've been pretty much all my life . So I'm

3:59

pretty big early adopter when it comes to

4:01

a lot of technology . But at the same

4:03

time I do understand

4:06

why some people would not

4:08

be , especially if you're more on

4:10

the successful side . Right , if you've had success

4:12

and you have

4:15

what you want , you live the life you want , you

4:17

have the house you want

4:19

, you got the car you want , you got the things in your

4:21

life that you feel are important are all in order for

4:24

you . I could see more hesitancy

4:26

to change anything and more . You know the tech's

4:28

just part of it . But if you're thinking

4:30

, life's been pretty good for me

4:32

up to this point , why in the world would I move over

4:35

to something else ? You know those

4:37

are your typewriter people , days going over to computers

4:39

. And that was your people who were like oh , why would I send

4:41

an email ? I've been sending mail for years . You

4:43

know those kind of folks who really felt there was

4:45

a lot of those people out there too , for people who weren't

4:47

around when the internet was kind of coming up . There

4:50

were a lot of people even with the phones when

4:52

the Blackberry was around and

4:54

iPhone got introduced and people were like that thing doesn't

4:56

even have a keyboard , it'll never last . You

4:59

know , you had those folks out there , right

5:01

, yeah , yeah .

5:03

Right , So would you

5:06

the people around you .

5:07

Do you see them adopting stuff pretty quickly

5:09

? What has that been like for your experience ? or

5:12

maybe people that you've seen

5:14

, maybe in your job friends , family

5:16

, stuff like that .

5:20

So my friends are not so much talking

5:25

about AI , like we're all you

5:27

know in our fifties we're

5:29

talking about our conversations are

5:31

very different than technology

5:34

. A

5:36

lot of you know they range

5:38

the gamut most are in education

5:40

, so I think

5:42

but they're in . you know their principles

5:45

, assistant principles , and they're really looking to retire

5:47

. I think we all know that

5:52

it's coming . I don't think anybody is like

5:54

scared or anything , even though I've

5:56

heard some things . You know

5:58

that . You know , like I've seen

6:00

, i've actually seen some

6:04

ads where people were talking and

6:06

it looked like them , sounded like them

6:09

. You know , for all intents and purposes

6:11

, if you didn't know any better , you would think it was

6:13

them and I think that can be dangerous

6:15

. But like anything , you

6:18

know , i think we're half . You

6:20

know we have to be discerning . I've seen some beautiful pictures

6:22

and they haven't

6:24

quite mastered

6:26

People

6:28

yet . I see but

6:31

, I can see . I

6:33

Can see where

6:35

, if they did master it , it would

6:37

definitely like what . There's no need

6:39

for a model . They can make beautiful

6:41

people , you

6:47

really can . And I think the

6:49

scary thing is , though , you know , having someone

6:52

you know like the president or dignitaries

6:54

, and you're having them say

6:57

some things that are Not

6:59

real , and you know that could cause , yeah

7:03

, some problems . But aside from that , i think I

7:05

think it's really . It's

7:08

amazing . Actually , it really is amazing

7:10

, and I think , the more that we

7:12

explore what it , you know the possibilities

7:15

. Especially , you know we've had this you

7:17

and I talked about . I've talked about this often

7:20

You

7:22

know the workforce and

7:24

You know when you're dealing with

7:27

people , you're dealing with personalities

7:29

and you're dealing with you know the ups and downs of the

7:31

market right and

7:33

then If you

7:35

can have some artificial intelligence

7:38

, come in here and do something You know

7:40

have to deal with , you know people saying

7:42

, well , you know , i'm not

7:44

gonna do that , i'm just not gonna do it and

7:47

you're at their mercy . So

7:49

I it has the potential

7:52

of Being amazing

7:54

. Yeah

7:57

, but a lot of people my age , i think until

7:59

we have to like that's not

8:01

a conversation that we have . Hey

8:04

, what do you think about this new AI ? We're

8:07

trying to retire , be

8:10

somewhere , or , you know kind

8:12

of worried about some of the the political

8:14

, you know uneasiness

8:16

that that is happening right now

8:18

.

8:20

And that's understandable , because I think that another

8:22

thing to that too and that's not just age

8:24

or person specific , not everybody just interested , you

8:26

know , and I feel like if I

8:28

could , i May

8:30

see a lot of it and I might

8:33

think that maybe 20

8:35

, 30 , 40 percent of people really , really

8:37

care , but maybe that number is too high , like I don't

8:40

know that . Even my

8:42

conversations , a lot of them aren't about it , unless

8:44

I'm talking to somebody who's really into it . Laura

8:46

, you know , it's not like I'm having

8:48

AI conversation with random people

8:50

throughout the day , and so I can kind of definitely

8:52

see that , because I think a lot of things , laura

8:55

. Until they affect your actual life , you

8:57

don't really care about them as much . Yeah

9:00

, you're right , like , until it has an effect

9:02

on me . Yeah , personally I

9:04

don't really care . I'm

9:06

kind of trying to handle business in other areas , other

9:09

facets of my life . Now We

9:11

brought up the working situation . I wonder

9:13

how that does that ? does that affect an aging

9:15

workforce more than it affects like a younger workforce

9:18

? when it comes to people kind of Getting out

9:20

like of not wanting

9:22

to deal with other

9:24

, are they human beings ? and when

9:27

you know AI , it's gonna work 24

9:29

hours , seven days a week , no complaints , no

9:31

days off , no vacation . You know

9:33

what I mean ? No , no , talk back . And even from a

9:35

from an older standpoint , it

9:37

might not be the person that's actually

9:40

getting fired . It might be the person doing

9:42

the firing because of AI , like You

9:45

know it could fall both ways , right

9:47

could fall both ways in a sense of like . Well , if

9:50

I have an aging demographic , because you

9:52

know the the baby

9:54

boomer demographic right there , right , that's an aging

9:57

demographic and that's gonna be a massive , i'm not sure

9:59

if all of them have left the workforce , but

10:01

it's a good amount of them that

10:03

are about to if they have not right

10:05

, and that's massive for

10:09

just The amount of jobs

10:11

that are kind of coming out of the workforce as people look to kind

10:13

of go sit on a beach somewhere Or chill and

10:15

kind of hang out . Then

10:17

I think maybe you have a situation there where

10:20

you're not dealing with as much , where

10:23

you can bring on AI then and

10:25

and kind of blunt the impact of that . You think

10:27

that's a possibility It

10:31

becomes on soon enough anyway .

10:32

I think , yeah

10:35

, i think so , and I think the more that

10:38

we explore , like

10:41

all of the possibilities , the more people will

10:43

be talking about it , how

10:45

it's going to affect them . I think , older

10:47

the older generations , just like every older

10:50

generation , you know you

10:52

look at things differently . You may

10:54

not want your food served to you

10:56

by , you know , automation . Yeah

10:58

you know . But you have a

11:00

younger generation that is so accustomed

11:02

to that That

11:04

they're going to , you know , you have little bitty

11:06

kids now and they know what to do with phones

11:09

Because that's

11:11

what they were brought up on , like they , they know

11:13

automatically , right . But um

11:16

, an older generation

11:18

still is gonna want that human

11:20

touch , that human interaction . But

11:23

eventually those people will , will

11:25

die off and you have this

11:27

whole generation that is that is , you

11:30

know , very accustomed

11:33

to robots

11:35

and automation and no

11:37

one human doing different things , whether

11:39

it's banking or medicine or grocery

11:42

stores , or you

11:44

know what I'm saying People are saying . You know , we

11:47

fall in line with things . We kick

11:49

and scream , but eventually

11:51

you learn to adapt to

11:53

whatever is out there and whatever

11:56

you know is present

11:58

.

11:59

Does that make sense ? Yeah , How has that been for you

12:01

? How was that ? Because

12:04

you said that you're a person , that you're not necessarily adverse

12:07

to technology , because you know some people are completely

12:09

have more of a hostile take

12:12

on it and technology ? in general , like

12:14

machines are taken over the world and stuff like that

12:16

. you know How

12:19

has that been for you Just having ? you've always been

12:21

like , just I'm just going to roll with the punches and whatever

12:23

comes , kind of comes .

12:27

Yeah , pretty much . So I mean you

12:29

. I can remember

12:31

them making us wear seat belts . I can remember

12:33

a time when you did not have to wear a seat belt And

12:36

I remember when they

12:38

said you're going to have to wear a seat belt , and I remember

12:40

specifically and I'm embarrassed to say this

12:42

I remember saying it's kind of wrinkle

12:44

my clothes .

12:45

Yeah , absolutely .

12:47

I mean , forget the safety . I can't show up like

12:49

this , right

12:51

, right , if I have

12:53

a wreck . You know , imagine that . But

12:55

those , but you do it , you know and then

12:57

you know . Of course now we know

12:59

why , but you think about Walmart

13:02

and how you know . Little

13:04

by little , you saw less cash

13:06

years . Yeah man , and now the self-checkout

13:09

is hit Like it's . The

13:11

area is huge now in Walmart

13:13

And no one seems to be there

13:15

. Every now and then , you

13:18

know , you'll see somebody

13:20

that just has to go through the line . Like me

13:22

, i don't know .

13:23

Have you been ? when's the last time you've been through the line at Walmart

13:25

yourself ? Like had to go to a person .

13:28

I went . I went the other day . We

13:31

had to get some things for my

13:34

job And

13:36

so I had to go through the line , because we're

13:38

a nonprofit and I use a

13:40

nonprofit card , so we

13:43

don't pay taxes . So I had

13:45

to go through the line And

13:48

it was different . I was waiting

13:51

, yes , and it's a nightmare

13:53

.

13:54

It's a nightmare . now , i'm sorry , i

13:57

would never . I would never

13:59

go . I would never go to Walmart if I

14:01

had to go to the line every time . Remember old school

14:03

Walmart when people hated going in there for a book because

14:05

of that reason , like the lines being so

14:07

long that you

14:09

avoided it all together And that

14:11

self-checkout has changed my experience . I want to

14:13

. I mean personally tell you that .

14:17

It's changed everyone . It's changed everyone

14:19

. And imagine so you've got six

14:22

self-checkouts I'm thinking of the grocery store

14:24

and you've got now you just pay

14:26

one person to watch everyone

14:28

, instead of paying six people to check people

14:30

out .

14:31

Yeah .

14:32

So imagine for a grocery store like that's heaven

14:34

.

14:35

For sure , for sure .

14:38

Wind , wind all the way around Wind , wind

14:41

, weight loss And I think about my industry

14:43

, like

14:46

if it will affect my

14:48

industry . I work with people

14:50

, you know , people with disabilities , as

14:52

a matter of fact , and so I

14:54

think the human aspect

14:56

is very important , especially

14:59

for people with disabilities , like they need to feel

15:01

that touch and see a smile

15:03

and things like that

15:05

. And so I wonder , though I

15:07

mean definitely , you

15:09

know , one of the things that we do

15:11

is give meds

15:14

, and it's not always an easy

15:16

thing for somebody who's making $10 , $11

15:18

an hour . They forget or they just throw out meds

15:21

, which is extremely

15:23

huge . Right , i

15:25

mean , that's a life or death situation . A

15:28

machine is not going to make

15:30

as many mistakes , and

15:33

I would take a machine any day to give meds

15:36

to my clients , as opposed

15:38

to a person who's distracted

15:40

or who's not in a good mood or

15:42

who is forgetful

15:45

or whatever

15:47

you know on medicine . So

15:53

I'm really looking forward to

15:56

seeing what it's going to

15:58

be like for professional

16:02

, you know , for businesses

16:05

, for people

16:07

personally , for everything

16:09

. I'm just really , i'm

16:12

really . I hope I

16:14

get to see , and I'm pretty sure that the way things are

16:17

moving , that it's not going to take long for

16:20

me to see . God willing , I'll be here . It's not going to take

16:22

me long to see just what

16:24

can be done with AI

16:26

.

16:28

I'm thinking here in the next year

16:30

, the next two years , because you can think

16:32

about how much more it's done in

16:35

less than a year . So it's before

16:37

me . I'm just going to chat to you and

16:39

even a different iterations of chat to BT

16:41

from each other are way different or way better than

16:43

they are from each other . So if you think about all

16:45

the learning that it's doing on

16:48

every single day because of just people asking

16:50

you questions or using it on a daily

16:52

basis , making it smarter , then

16:55

you have a situation that it's going to be so different

16:57

year to year , laura , like it's going to be so

17:00

much better a year from

17:02

now and then it's going to be so much better a year

17:04

from that , that

17:07

I think the possibilities are endless . It's definitely

17:09

one of the largest thing I've . I couldn't harp on it . I

17:11

think I've done at least 10 , 15 shows on

17:14

it just this year because

17:16

it's so amazing . I don't feel like a lot of

17:18

times , Laura , that we come across technology

17:21

like this that is going

17:24

to change how people do everything , And people

17:26

are using it to write their dating profiles and they're

17:29

getting a lot more pool than they were when they were

17:31

writing their own . So that's one

17:33

of the stuff I'm saying Yeah

17:37

.

17:37

but then what happens when you write this amazing

17:39

dating profile ? and then someone's dating you

17:41

and they're like what happened to this witty person

17:43

? What happened to this intelligent person that I thought

17:45

I was going to get , or this you know . You

17:49

know what I'm saying .

17:53

At some point you have to show up , at some point I'm

17:55

going to crack up with you .

17:56

Yeah , yeah , yeah

17:59

, you do . Yeah , you

18:02

know what ?

18:03

you think I do , laura . But you

18:05

know , what's funny is , as you were saying , that I feel

18:07

like that's what's happening to people . Anyway , people

18:09

are already feeling like that , whether it's you

18:11

taking creative angles with your photos

18:14

, you saying , hey , you lying about your height , i'm throwing

18:16

a couple of extra inches on

18:18

there , making sure she hits me back . And then I got to

18:20

show up to the date and hope she loves me . There's

18:23

a lot of that stuff that was already going on to

18:26

a certain degree , even without AI

18:29

, that I feel like it'll be perpetuated or

18:31

be much more of the same . You know what I mean

18:33

. It'll be the same . Or you know it

18:35

even because we're talking about the dating aspect . Right , let's

18:37

talk about the resume aspect , because a lot of people are using it to write their

18:39

resumes . Same situation You're

18:41

a rock star on your resume , right You're ?

18:42

a rock star in that interview .

18:44

You get the person , the person that's working for you , and they're

18:46

just average or maybe

18:48

a little below in some areas

18:51

, and leave me wanting that same person

18:53

that you interviewed or that same resume that you read

18:55

. That was so amazing . So

18:59

I do feel like that there's going to probably perpetuate

19:01

more of that stuff . You know what I mean ? It's

19:03

definitely . I don't think any of that stuff gets made better by

19:06

AI . I think definitely AI is going

19:08

to make you sound like more of a rock star . It's

19:11

just imagine . And then the person still does have to

19:13

show up and actually do the job or

19:15

actually show up at the date and actually

19:17

be that person . You know what I

19:20

mean , but I do think it can help . If

19:23

you're just not good at writing profiles , if you're just

19:25

not good at writing resumes

19:27

and stuff like that , maybe it can help

19:29

you in that way , but I do think

19:31

that you're going to have to actually have the experience

19:34

. Now , what do you think about the ? because

19:36

I think the biggest negative , in my

19:38

opinion , is just going to be the repercussion for

19:40

jobs . I think it's the biggest

19:42

negative that's going to come with that . If you don't

19:44

have a job that is a

19:47

that calls for you to actually be there , like

19:49

, let's say , i can't have an AI roofer

19:51

, right , an AI plumber , an

19:54

AI person come through and like

19:56

do my drywall . You know what

19:58

I mean . I think those jobs may

20:00

be a little bit safer because you're going to need a

20:02

human being to come and do it . Maybe they

20:05

have AI to help run their business , but still

20:07

they're going to have to show up and do the actual

20:09

labor . So I think that those jobs are a lot

20:11

safer than

20:14

a lot of like . Let's say that you're a lawyer and all

20:16

you do is work on contracts all day , or you're an accountant

20:18

. I think AI can come

20:20

for your job . I think it can , because

20:23

you can probably do your job a lot

20:25

quicker than you can do it . What are

20:27

your thoughts on that ?

20:28

Yeah , thank you , i

20:31

think you're right . I think

20:34

you're right , um , and

20:36

I certainly think that AI could do a better

20:38

job than SCOTUS . So

20:40

, um , you're

20:43

going to have like nine judges

20:45

.

20:45

You just wanted you had to get that one in there , didn't you ?

20:49

I had to get that in there . I mean , ai

20:52

couldn't do any worse , but I

20:54

definitely think , um that

20:57

there are going to be

20:59

some jobs that

21:01

you know I mean , but it's that

21:04

has happened throughout time . Reggie

21:06

and the

21:09

the cotton gin

21:11

, you know .

21:12

Yeah , man , there's always been something right that

21:14

comes and just disrupts

21:17

things .

21:18

Yeah , there's always and

21:20

it does . It does for a while

21:22

. Like you think about auto plants

21:24

, you know , and you think about you . Look at

21:27

cities like um Detroit that

21:29

are now ghost towns right , yeah

21:31

, because these machines , um

21:35

, you know , get away with their jobs

21:37

. But , um , and so , while

21:40

the machines are amazing and you ask any

21:42

car , you know

21:44

, company or whatever you know , was this

21:46

great ? Yeah , this technology was amazing

21:48

. But then you ask , um

21:50

, the workers and they're like , yeah , i lost

21:52

my job , i lost my house , we had to move

21:55

. And so I think those

21:57

are the pitfalls

22:00

, those are the great things and

22:02

the very worst things

22:04

that come with evolving

22:09

and that come with anything

22:12

, not just AI . Ai just happens

22:14

to be the big

22:17

thing , right , we haven't had like this huge

22:19

thing in a while . And

22:22

so every now and then , every

22:25

once in a while , our

22:27

society comes up with this ah

22:30

, you know whether it's the car that puts

22:33

the horse and buggy out of

22:35

commission , and

22:38

so somebody loses and

22:41

somebody wins big , and society wins

22:43

big , but there's always some

22:45

. What do you call it ? Ah

22:49

, what's the word that I'm looking for ? You know , these are

22:51

the . These are some of the pitfalls that happen

22:53

when you're involved in

22:56

technology . Collateral damage , thank

22:58

you . Those are that collateral damage . And

23:00

, yes , you're going to have a lot of collateral

23:02

damage with AI , but when you think

23:04

about , you know what it can

23:06

do . You

23:09

know , hopefully I'm thinking that the pros

23:12

outweigh the cons , right

23:14

.

23:15

Would you use AI to write your dating profile

23:17

, Laura ?

23:20

Then you have to think about it .

23:22

You can just put a few pictures up there . Laura

23:24

, Throw some pictures up there . Let AI

23:27

do the rest . You can just wait for the wait

23:29

for the men to come in there , Less

23:34

time spent .

23:36

You get the same situation , yeah .

23:37

I remember we talked about the face . Remember a while back ago , laura

23:40

, when we were like we're talking about the . Facebook situation

23:42

. I don't know if you were on there even

23:44

five days , laura . You're like this is too

23:46

overwhelming .

23:49

You're saying you're gay , right Right

23:52

, it was too much So imagine

23:54

an AI profile .

23:56

Man maybe roll it in , laura Roll

23:58

it in .

23:59

Right , yeah , yeah

24:02

, um sure , i'd

24:05

use it to do whatever , as long as it didn't

24:07

hurt anyone . Um , i

24:09

don't want to be deceitful , but , um

24:13

, you know I mean

24:15

, and then what , how do you do the AI profile

24:17

, like ? do you tell them , do they ask

24:19

these questions like okay , what's your age

24:22

, what do you like ? And then , based

24:24

off of those answers , they write

24:26

something . Or do they just write something , not knowing

24:28

who you are , and it could be totally not

24:31

representative of who you are .

24:33

I feel like it would have to be some questions

24:35

, right , like there would have to be some kind of like

24:37

prompt or something or otherwise

24:39

this can write the same profile for every human

24:41

being , like wouldn't even have to like have any deviation

24:43

. If it's just writing you a human

24:46

woman profile like , that's very

24:48

, that's very vague , like . I feel like you would

24:50

have to like narrow it down to something

24:52

, right , like . So I

24:54

feel like maybe , cause I haven't used it , maybe I should

24:57

just go with that and do that on the show one day . I'm just gonna do

24:59

that on the show show and just create an AI

25:01

profile and just see what happens , see if see what

25:03

happens there , cause it's interesting . I

25:08

don't really know , cause I've been out of dating game for a while

25:10

, so I don't . I don't know exactly what that would

25:12

be , but I do know that I would have used

25:14

it to save me the time , absolutely Like if

25:17

I could save time on that and I could just

25:19

now just vet people , that kind of like . You

25:21

know , cause it's different for guys and I feel

25:23

like for a lot of women they're

25:26

going to be inundated , no matter what they do , with

25:28

just a lot of dudes . Um , so they're going to

25:30

be inundated with a lot of guys just hitting

25:32

them up , versus , like a lot of guys , you gotta

25:34

go more , like you gotta be more aggressive or

25:36

more assertive . I should say not really aggressive , but you're more

25:39

assertive , like you're going to go after . Go

25:41

after a women more so , cause

25:43

I mean , i looked at

25:45

a friend of mine's , who's her

25:47

? she , her profile had like a ton of just random dudes

25:50

in it And she wasn't even trying

25:52

hard , you know , and it had a ton of dudes in

25:54

there . So I'm like they don't

25:56

have time . I don't feel like a lot of women have time to

25:58

do it , to sit there and just reach out to dudes

26:00

all the time , even though I do respect that more . Um

26:03

, but why would you if you ? got like a hundred dudes

26:06

in your inbox already . Like well

26:08

, you can just spend all your time just going through your inbox

26:10

, you know . So I think that it would have

26:12

to have some kind of prompts for what you like , what your

26:14

interests are right . Because , you

26:16

, even if it's going to be like a matching , and

26:18

a lot of these companies are on top

26:20

of that . They might be using AI to even do the matches

26:22

. So , you have AI that you might

26:24

use to build your profile . The company

26:27

itself might be using AI to kind of do

26:29

like a match making type situation . You know what I mean . So

26:32

you got AI all over the place .

26:33

Well , i was just going to say that , like why can't

26:35

AI find my person too

26:37

? Like , if you're so intelligent , fine

26:40

, you know what I like . So

26:43

I'm my person for me , yo

26:45

. Laura .

26:46

I think that's possible . Hello Laura , I

26:49

think that's absolutely possible , right Cause ? think

26:51

about it like this , laura If AI

26:53

can replace , like somebody writing

26:55

some lawyer writing

26:57

up some massive contract for some company

26:59

, right , and if AI can do that in seconds

27:02

, then it should be able to

27:04

look at some matchmaking possibilities

27:06

. In my opinion , like I don't see

27:08

why it wouldn't be like

27:10

it's intelligent enough to do that first thing , but not

27:12

intelligent enough to do that second thing . Of

27:15

course the people have to meet , right

27:17

? So the course that people have to meet , actually

27:19

like each other , actually be able to jail , have conversation

27:21

, all that stuff . Still , of course , you would definitely need

27:23

all that and that AI can't do that part

27:25

. But AI , can AI give me

27:27

like 10 suitors who are

27:30

my type ? Why not ? Why

27:33

not ? Why can't I get a small group

27:35

of people ?

27:36

That , i think , would be great .

27:38

Matchmaking situation right .

27:40

Like an AI matchmaker , because that would be the most difficult part

27:43

. It really is . I mean , you're looking

27:45

through . that was the most difficult part for

27:47

me . Looking through everything

27:49

and saying , okay , am I making the right

27:51

choice ? Like , how do I know

27:53

that ? you know what I'm

27:56

saying ? That really was the

27:58

difficult part . It's not difficult to

28:00

put your profile and put those things . It's

28:03

difficult to say , gosh

28:05

, i don't want to base it on how he looks , or he looks

28:08

like , he doesn't , like he's not

28:10

spontaneous , but he really may be . So

28:13

yeah , that would be awesome , really

28:16

awesome I

28:18

think a lot of companies .

28:20

I could see that all day , laura . Yes , i could see

28:22

it , man , and some companies may already

28:24

be doing that , but I can . Why not ? Why not What

28:26

all the other stuff is doing ? It's like passing

28:28

. The AI is passing the bar . It's passing

28:31

like physician test Why ? could it not be

28:33

a matchmaker Like it seems like , from

28:35

an intelligence standpoint , that's lower on the scale than like

28:37

going and passing the bar or doing some of that other stuff

28:39

that AI has already been doing . Why

28:43

not ? Yeah , why not ? Maybe maybe somebody's

28:45

already done that .

28:45

And why not ? Can't do it Like , yeah

28:47

, yeah , like I'm interviewing

28:49

for a receptionist

28:52

and I'm like how do I know

28:54

I'm picking the right person ? Like they're all amazing

28:56

. I could get AI to like

28:58

do the random you know what

29:01

is really needed and how are they going to fit into

29:03

the culture ? and will they ? you know , do

29:05

they have what it takes to ? that

29:07

would be awesome .

29:08

Yeah , cause I think that you could do that as like a filter

29:10

right Like , if nothing else , filter out

29:13

applicants for me Yeah . Just filter out some applicants

29:15

for me See who's best from a statistical standpoint

29:17

. Fits , fits what I'm looking for , um

29:20

, and then you know what I feel like . That's what a

29:22

lot of the legwork that AI is going to do . That's

29:25

a lot of the legwork AI is going to do for you . It'll

29:27

have like , if I don't have to like a lot of times

29:29

, if you're looking for , let's just say something as simple

29:31

as this podcast , and I'm going to look at some

29:33

hashtags for this podcast , like what kind of what are the

29:35

best hashtags ? I can just literally type in the

29:37

AI and have it pop them out . I don't have to try to

29:39

do a ton of research . I don't need to go read

29:42

now into researching podcasts , or you

29:44

don't have to now hope that you can

29:46

. You could just put in a few things about your company culture , what

29:48

you're looking for , a few prompts for the

29:50

kind of specific person that you're looking for , and then

29:52

maybe get some suggestions on the best way to go about

29:54

that hiring process and cut some

29:56

time out of the processes which I think , ultimately

29:59

, ai would do . I think AI , the

30:01

biggest thing it would do for humanity , in my opinion

30:03

, is give it back some time in its

30:05

every day , doing it to every day .

30:07

Yeah , you know what I mean

30:10

, wouldn't that be

30:12

awesome ? But also think about

30:14

it this way , reggie What if

30:16

AI ? you

30:18

know you used AI to get

30:20

all of your

30:23

podcast people

30:25

and what did they just like ? totally

30:28

skipped over me , like

30:30

you see what I'm saying . You would have

30:32

totally missed out on

30:34

me .

30:36

It's a possibility right . That's

30:39

the collateral damage , right , that's

30:42

the collateral damage that could be , and

30:44

sometimes yeah . Well

30:47

, you're gonna say finish that statement and I'm gonna Yeah , that's it .

30:51

I was just gonna say . You know , sometimes it

30:54

really is important to have that human touch , like

30:56

sometimes you know you really

30:58

need that , but I could definitely see how it would

31:00

aid Absolutely .

31:03

I agree with that , because I was gonna say that's the same

31:05

situation , kind of going back if we're doing the dating

31:07

situation . But isn't that in general , though , cause

31:09

? let's think about it like this , laura , we were just talking about

31:12

the situation with receptionist . Right , You're

31:14

already thinking that without

31:16

AI , without AI , you're thinking that already

31:19

. Right , We're all kind of like a human

31:21

condition and all kind of second guess ourselves . To

31:23

a certain degree , We make certain decisions

31:25

, right ? Like we're already thinking of like , well , if I'm

31:27

dating this person , the person that's supposed

31:30

to be spending the rest of my life with , is just , I'm just have less

31:32

time with that person . They're just out there somewhere

31:34

And but

31:36

I'm here , that dream job that I want

31:39

. It's out there somewhere , but I'm working this other

31:41

job . You know Like I feel like we

31:43

would always second guess ourselves as

31:45

to like , what it could miss out on

31:48

, like , or what we could be missing

31:50

out on , even as we make our own decisions , right

31:52

. This

31:54

is true , yes , absolutely , and

31:57

maybe we'll have more answers to this here down the line

31:59

, because I know this is not our last AI show . We'll

32:01

do some more AI shows . Definitely

32:04

appreciate you taking some time out here

32:06

, as always , laura , absolutely

32:10

.

32:11

It is always a pleasure , Reggie . This is Reggie and

32:14

ATL .

32:14

Check us out . Stay dry , heart radio , google

32:17

Podcasts , apple Podcasts , spotify wherever you find

32:19

your podcast . See you next time .