0:00

babies is the topic

0:03

today yes babies

0:05

not financial securities banking

0:07

accounting management strategy. as

0:10

i know you yeah you work

0:12

in firms you need a i

0:14

for work but you most of

0:16

you also mother's father's grandparents something

0:18

like that and today we talk

0:20

to i'm in your debt he

0:22

is co -founder and cmo of.

0:24

Little one care that produces elora

0:26

this is the baby tracking device

0:28

and it is really something that opened

0:30

my eyes what is possible with

0:32

a i and the children with

0:34

children and. It's something you should

0:36

really listen to, to learn a

0:38

lot about how AI works, because

0:41

we don't just cover the baby

0:43

stuff. But before I talk

0:45

too much, if you're curious

0:47

to learn more about Ellora and

0:49

how babies can be tracked, the new

0:51

AI natives can be tracked, then

0:54

just listen to the episode. It's

0:57

Dietmar on the microphone again, it's the

0:59

interview episode and welcome to the

1:01

beginner's guide to AI. Let's

1:03

start with the interview. But first, a

1:05

quick thank you to our sponsor,

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Dan Thompson the CEO of

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show notes and listen to

1:45

him and talk about

1:47

his vision thanks Sensei and

1:50

now back

1:52

to the

1:54

show so

1:57

I mean, welcome to

1:59

the podcast and can talk a

2:01

lot about you and it would

2:03

be all PR bubbles. I would

2:05

give so I give the microphone

2:07

to you and what did you

2:09

get? What did get you into

2:11

AI? Well,

2:13

thank you very nice and

2:15

thank you for hosting

2:18

me. What made us as

2:20

a company to establish

2:22

a product based on AI?

2:24

Well, it's a little

2:26

bit It's

2:29

a story about

2:31

prediction and

2:34

gambling. I will

2:36

explain. When we

2:38

started to discuss the opportunity

2:40

to develop the product we

2:42

developed, the year

2:44

was 2019. We

2:47

established the company in 2020. And

2:49

when we start to draw what we're

2:51

about to do, And

2:54

you know, it was kind

2:56

of a draft what we supposed to

2:58

do. We had a lot of

3:00

blank places where we said, okay, this technology

3:02

is not exist yet, but we do believe,

3:04

and this is the gambling part, we do

3:06

believe that it will be fixed in the

3:08

next two, three years. And this thing may

3:10

be four years. This thing next year for

3:12

sure is gonna happen. And

3:15

that way we started the

3:17

business. where we

3:19

knew that if the market

3:21

and the technology and

3:23

the algorithms and the public,

3:26

beyond everything is the

3:28

public needs and the public

3:30

maturiness won't be there, we

3:32

will fail. But on

3:34

the other hand, what is

3:36

innovation if you will

3:38

not be aiming and

3:40

running into a place

3:43

through a path that nobody

3:45

been there before and And

3:47

you actually don't really know

3:49

if everything, all the

3:51

stars will be aligned. And

3:55

thanks God everything happened. So

3:57

besides everything we have done,

4:00

it's a lot about predicting or

4:02

gambling. If you won, it's

4:04

predicting. If you felt it was

4:06

gambling, and I hope that

4:08

this gamble will be... it will

4:10

be okay because we believed that it's

4:13

going to happen. So we didn't

4:15

want to use AI, but AI is

4:17

the only way to solve some

4:19

of the things. Understanding the secret world

4:21

of babies without using cameras and

4:23

understanding what exactly they

4:26

do and tracking them, which

4:28

is, it's like, it's

4:30

not practical. So you

4:32

have to where to put something, to

4:34

attach something to the baby's wearable

4:36

device. And without using

4:38

visuals, in our case, we

4:40

track the baby's sounds and activities,

4:42

like the motion of the

4:45

baby, convert it

4:47

into using

4:50

algorithms, into

4:52

understanding, bringing

4:54

into these sounds. emotions to

4:56

bring them context and to

4:58

transform this context into a

5:00

table that in one screen

5:03

we tell you what had

5:05

happened all day when the

5:07

baby was asleep playing, laughing,

5:09

people with the baby crying,

5:11

feeding the baby. To make

5:13

that you need a lot of AI

5:15

power and what we have done

5:17

we understood that that kind of

5:19

tiny device is

5:22

not something that we'll be able to

5:24

do everything. So we split our

5:26

neural networks into two different neural networks,

5:28

one of them in the device.

5:31

It's tiny, it's agile, it

5:34

doesn't use a lot of energy because AI

5:36

needs a lot of energy and you

5:38

don't want to have a massive

5:40

device on your baby's shirt. And

5:43

in this neural network, With the

5:45

baby, we decided that we are going

5:47

to eliminate and to use it only

5:49

for the real things you need to

5:51

know in real time, emergencies. If the

5:53

baby fall from a changing table, if

5:55

somebody scream at your baby, if

5:57

the baby is crying and nobody approached

5:59

the baby, if the baby, for

6:02

instance, during the night

6:04

sleep, the device doesn't

6:06

recognize emotions, okay? So

6:08

you would like to

6:10

know about that. If

6:12

somebody shake your baby, like

6:14

rude and aggressive and aggressive

6:17

treatment, you don't want that. So

6:19

all the algorithms that

6:21

we have in

6:23

our Elora tracks that kind of

6:25

things in real time. And we allow you as

6:27

the parents to decide what you want to know, what

6:30

you don't want to know. And trust me, everybody

6:32

wants to know everything in this area. But

6:34

knowing when the baby was

6:36

crying, was sleeping, playing tummy time,

6:38

rocking the baby, that kind

6:40

of things. from

6:42

different reasons, especially

6:45

the need to make

6:47

the parents more mature and

6:49

not to peep and to track the

6:51

babies all the time what is going

6:53

on. We split that kind of things

6:55

and these things we actually analyze with

6:58

another neural network that we

7:00

have in the cloud. At

7:02

the end of the day, when you dock

7:04

the Lora in this docking station to

7:06

recharge it, we use this period of time

7:08

to upload the data. Over

7:10

there, we can play with it

7:12

more. We have more tools,

7:14

we have more resources, more energy,

7:16

and a couple of minutes

7:18

later, after you, for instance,

7:20

take your baby, you took a bath, put

7:24

your baby back in the bed in the

7:26

evening time, you take

7:28

the Laura back from the docking station since

7:30

you charged it, and you can sit in

7:32

the living room, open your cell phone, and

7:34

you see what had happened the whole day. So

7:37

if we found a way

7:39

to use our limitation to

7:41

split it to two neural

7:43

networks, that one work in

7:45

real time, tiny one, and

7:48

one works in the cloud. And

7:51

parents ask, no, no, no, I would

7:53

like to know if my baby is crying

7:55

now. No, it's not important. Trust your

7:57

nanny. Trust the people who are with your

7:59

baby and focus on what you need

8:01

at your work later on, at

8:04

the evening. come back you have more

8:06

energy play with your baby do what

8:08

you need to do now you can

8:10

analyze the whole day like how many

8:12

words your baby heard today it's not

8:14

important if you will not finish the

8:16

whole day right this is what we've

8:19

done yeah this this totally reminds me

8:21

of the slow thinking uh quick thinking

8:23

slow thinking of Daniel Kahneman who said

8:25

that we have some quick decisions to

8:27

make and this is in the Elora

8:29

and we have some slow ones that

8:31

that need thinking through it's perfect yeah

8:34

It's so important what you said. There

8:36

is a book that, in the

8:38

name of this book, Seven Habits of

8:40

Most Effective People. This

8:42

book is a well -known book. I think most

8:45

of the people didn't read it to the

8:47

end. It's another problem. However,

8:50

one of the things that this

8:52

book mentioned is the difference

8:54

between urgent and important. Yes,

8:57

what we do in real time

8:59

is urgent. But what you

9:01

see in the evening, this is the

9:03

important part. Why? Well,

9:05

you can play with your baby

9:07

today and you cannot do that.

9:09

Nobody will complain. Nobody will judge

9:12

you. And we won't judge you

9:14

either. But if you look at

9:16

any research that is dealing with

9:18

the importance of the first 24

9:20

months of baby's life and how

9:22

this How this 24

9:24

months are so crucial

9:27

for the baby's development as

9:29

an adult? The mental

9:31

health of this person, the

9:33

mental strengths of this

9:35

person as an adult. How

9:38

these people communicate with

9:40

others, compromising with communication with

9:42

partners, friends, spouses? There

9:45

is a connection between

9:47

the behavior of these adults.

9:50

and how much money they're going to make,

9:52

how they're going to behave at school

9:54

and the grades at school to the fact

9:56

what you have done in the first

9:58

24 months. So the funny thing is it's

10:00

not urgent. It's important to play with

10:03

your baby, but it's not urgent. You didn't

10:05

play with your baby today. It was

10:07

fine. You walk very hard. You were busy.

10:10

You didn't talk to your baby enough

10:12

today. Fine, nobody judge you, but

10:14

you need to see these reports all

10:16

the time to make you, we

10:18

call them call to action insights. Why

10:20

call to action? It's fine

10:22

that you didn't do that today, but maybe

10:24

in the weekend you play more with your

10:26

baby. Tomorrow you will think about it and

10:28

you will communicate with your baby and you

10:30

will describe your baby. You change your diaper

10:32

to your baby, share with the baby the

10:34

story. Oh, let's do this. Oh, this happened. Grandma

10:37

just came and it's a practicing the

10:39

parents. it's not urgent it's important and

10:41

this is the things we would like

10:43

to present you in the evenings with

10:45

the call to action reports to change

10:47

your manners because your baby is going

10:50

to do the same thing that i

10:52

after they will cry they will sleep

10:54

they will eat and they will poop

10:56

sorry with and without elora this is

10:58

the only thing they do but you

11:00

it's your decision to make i'm going

11:02

to play with my baby more I'm

11:04

going to sing to my baby, I'm

11:06

going to read to my baby, I'm

11:08

going to talk to my baby, I'm

11:10

going to play with my baby on

11:12

the carpet. I'm

11:15

going to put my baby in tummy

11:17

time, so important in the early stages. And

11:20

we are here to be

11:22

a reminder because these 24

11:24

months are going so fast

11:27

and we don't have second

11:29

chance in these 24 months.

11:31

And sorry, yes, it's not

11:33

urgent, it's just important. This

11:37

is what we do. Yeah,

11:39

this is I get deep thoughts

11:41

about this because because with

11:43

with AI with a lot of

11:45

this is kind of a

11:48

democratizer because I mean people who

11:50

like Really read about

11:52

what can and cannot do a baby

11:54

what you need to do and there's this

11:56

I think it's a Harvard study that

11:58

Children of higher educated people have like millions

12:00

of words more they're here in the

12:02

first one or two years and But

12:04

but now you can give people who don't

12:07

have the luck to have a higher

12:09

education You can give a tool and say

12:11

okay here. Here's what you do Here's

12:13

what you have to do and those children's

12:15

get better chances in life. I like

12:17

that Dietmar, I would like to

12:19

share with you two things about what you just said.

12:21

It was so important you mentioned that. Any

12:26

smartwatch, Apple Watch or any other

12:28

smartwatch will tell you how many

12:30

steps you had today. 8 ,000,

12:32

it's the minimum. But

12:34

there are days that you sit like

12:36

today. I'm going to sit all day

12:38

in front of the Zoom and talk

12:40

to people and several face -to -face meetings.

12:44

If I will not find the one and a half

12:46

hour to do what I need to do for my

12:48

practice, I will

12:50

miss my 8

12:52

,000 steps, the minimum

12:54

8 ,000 steps that I supposed to do

12:56

today. And the guilt feeling will be

12:58

there. This is what happened. And we use

13:00

these smart watches to improve our lifestyles

13:02

and well -being for the next couple of

13:05

weeks or months. With babies,

13:07

it's quite different. Two reasons. The

13:10

equivalent to how many steps you had

13:12

today, we share with parents how many words

13:14

your baby was exposed to today. Any

13:17

speech therapist will tell you

13:19

that's the average, the daily average,

13:21

supposed to be 15 ,000 words

13:23

a day. It's like, it's

13:25

a lot. And it's not

13:28

about your baby, it's not their decision

13:30

to make how many words they're gonna hear

13:32

today. And I'm not talking to be

13:34

stuck in front of the telly, I'm talking

13:36

to someone to talk to you. So

13:38

one thing I would like to share with

13:40

you. Do you have any idea how

13:42

many neural connections happens in the baby's brain

13:44

the moment you talk to him? One

13:48

million neural connections, it's

13:50

a firework every second, every

13:52

second, one million neural

13:55

connections. It's like you blow

13:57

their minds, this is,

13:59

and you need to talk to them. So this

14:01

is one of the things I wanted to share

14:03

with you. That's why it's one

14:05

of the most important. things

14:07

that we do in our

14:09

product because the very same

14:12

babies later on will be

14:14

able to communicate, explain the

14:16

world to themselves in their

14:18

mind or to others much

14:20

better than the other babies

14:22

who didn't communicate with their

14:24

parents. There are a

14:26

lot of researchers in this area

14:29

that shows very interesting things about

14:31

the type of the dialogues you

14:33

should do with your baby and

14:35

how these dialogues impact their ability

14:37

to communicate and rule other toddlers

14:39

later on, couple of years later

14:41

on in the daycares. They're ruling

14:43

them. They are the unnatural readers

14:45

because they know how to communicate

14:47

and not just to cry or

14:50

start using their hands. Okay, this

14:52

is one thing I wanted to share. The

14:54

other thing people do not

14:56

talk about that many parents

14:58

learn how to become parents

15:00

They read a lot of

15:03

books take part in many

15:05

workshops and they will do

15:07

everything to prepare the nest

15:09

Before the due date especially

15:11

first -time parents, which is

15:13

very natural things to do,

15:15

but none of us Pay

15:18

attention to the fact that

15:20

the moment you become parents, it

15:22

doesn't mean that you stop being

15:24

a kid. All of

15:26

us bring into this new

15:28

relationship with this new newborn, anything

15:31

we know about our relationship

15:33

with our parents, the

15:35

traumas, the things we

15:37

missed, the things we liked, the

15:39

things we hated. And

15:41

sorry, this baby doesn't need all of this.

15:43

I don't want to use bad words, but

15:46

they don't need to use, they don't want

15:48

to be part of your background and your

15:50

history. Please bring into

15:52

this new relationship, especially in the

15:54

first 24 months, white

15:57

paper, clean

15:59

relationship. And many people bring

16:01

in the guilt feeling, the problems

16:03

they used to have. And,

16:06

oh, my father was all day at work. I don't

16:08

want to be all day. No,

16:10

your baby doesn't need that.

16:12

And what we created is

16:14

an ability to make you,

16:16

we reflected the reality. This

16:19

is what you have done this day. Do better

16:21

tomorrow. I don't care what you had with your

16:23

parents. I don't care what you had in your

16:25

background. I don't care how much you work hard

16:27

or doesn't work at all. I don't care. This

16:30

is the amount of time you spend playing with

16:32

your baby. That's it.

16:34

Do whatever you need to

16:36

do the day after. And we're

16:38

simplifying everything in order to

16:40

provide you an ability to see

16:42

the reality without the noises, without

16:44

the problems that you might

16:47

bring into the relationship, in order

16:49

to make you the best

16:51

version of yourself to bring into

16:53

this relationship the best parents

16:55

you can be because your baby

16:57

has no other chance to

16:59

spend these 24 months. Yeah,

17:01

this is this is really great that they

17:04

all the baggage you carry around and now

17:06

you have a Objectifier like this is like

17:08

this is like you have an objective view

17:10

on this. This is not what you need

17:12

here This is what it's like a small

17:14

consulting you get most like this is probably

17:16

the idea you have a small consultant in

17:18

your pocket I did my have to I

17:20

first of all you write but we are

17:22

not consultant because we are the wait you

17:24

will meet in the gym or if you

17:26

go to your nutritionist we are the weight

17:29

in the room we will tell you what

17:31

is your weight we will never ever tell

17:33

you what to do about it if you

17:35

want to learn what to do about it

17:37

talk to your experts talk to yourself It's

17:40

your decision to make. We will not

17:42

judge. In our reports, there is no

17:44

good, bad. No, we just reflect the

17:46

reality. Because one of the

17:49

most, parenting is an

17:51

occupation that nobody really needs to

17:53

go to college to receive

17:55

a degree in order to become

17:57

a parent. We bring

17:59

each one of us bring into our

18:01

parenting behavior, our

18:04

values, history, understanding, reading.

18:08

our spouse impacted either so it's

18:10

it's very wide and wild

18:12

area so we cannot say this

18:14

is good is bad we

18:16

don't want to be there we

18:18

can tell you this is

18:20

your weight and this is your

18:22

weight yesterday and this is

18:24

your weight two weeks earlier do

18:26

whatever you want to do

18:28

with that this is the trend

18:30

that's it simple This

18:32

is funny because I have a Samsung

18:34

and I have to only do 6

18:36

,000 steps. So

18:38

is it better? Is it worse? This

18:41

is just the thing. You have to

18:43

make your own opinion on it. Yeah,

18:46

that's good. And we enable, in our

18:48

application, we enable you to

18:50

decide what are your goals by yourself.

18:52

We never ever decide for you these

18:54

the goals. If you ask people or

18:56

you read articles, you will find numbers.

18:59

But if you will dig into

19:01

that more, you will find

19:03

different numbers from different disciplines and

19:05

different methodologies. It's

19:09

not you need. I suggest that

19:11

each one of us will find

19:14

internally, what is my values, my

19:16

spouse values, what we're going

19:18

to do together. And the

19:20

moment we decide that as couples, this

19:23

is what we want to do. Our

19:25

Elora will reflect what we have done, simple.

19:29

Yeah. But

19:32

there is a thing I

19:34

can see what happens. You said

19:36

there's words I can see.

19:38

What are other things you look

19:40

for? Well, we have several

19:42

sensors. in our tiny device

19:44

and one of them tracks

19:46

the activity level. I think this

19:49

is one of the most

19:51

important things because there are many

19:53

researchers and especially the World

19:55

Health Organization published in many occasions

19:57

announcements that we do not

20:00

play enough with our newborns and

20:02

babies and they point out

20:04

that this is the main reason

20:06

to have overweight kids

20:08

at the elementary school. We didn't

20:10

have that in the past and

20:12

they want us to play more

20:14

with the babies. In the past,

20:16

kids, babies couldn't sit in the

20:19

crib by themselves and to be

20:21

stuck. They will scream. Now parents, babysitters...

20:23

Nanny's I'm not blaming them but the

20:25

technology enable you to put in the baby's

20:28

hands iPhone or iPad and they can

20:30

play all day and they are not screaming

20:32

and yelling and it's good for everyone

20:34

it's not good for the baby from the

20:36

physical point of view they need to

20:38

be all over the place they need to

20:40

break your house they need to to

20:42

be on the carpet and you need to

20:44

play with them sorry so we I

20:47

think this is the most this is one

20:49

of the reports I do like is

20:51

to present parents how much your baby was

20:53

active when they were not asleep. This

20:55

is one thing. The other thing we do,

20:58

it's about engagement, how much you engage

21:00

in any other caregiver, engage with

21:02

the baby over the day, during the

21:04

week, during the month, how

21:06

many words your baby was listening, it was

21:08

exposed to. And we

21:11

have another sensor that's actually, it's

21:13

a sensor that tracks the air

21:15

quality around your baby every couple

21:18

of seconds. like one minute

21:20

I think it strikes and understand

21:22

what is its monitors the air around

21:24

your baby and tells you if

21:26

your baby is exposed to a pollution

21:28

or not most of the case

21:30

it's fine but I would like to

21:32

be aware that my mother in

21:35

law is still smoking next to my

21:37

baby although it's important because many

21:39

people live in an area that they

21:41

need to know what to what

21:43

to do about it and there are

21:45

paths that you even in even

21:47

in a place

21:49

that the air is not

21:51

so clean, the air path

21:54

that you will walk and your baby

21:56

doesn't need to be exposed to air pollution.

21:58

This is the main sensors. By

22:01

saying that we have a

22:03

touch sensor when you touch the

22:05

logo of the baby, of

22:07

the Aelora, in a

22:09

very gentle way, because the Aelora is attached

22:11

to the baby's lower belly. But

22:13

any time you touch it, it changes

22:16

its color to a very gentle blue.

22:18

which enables you four seconds to say

22:20

whatever you want. For instance, oh,

22:23

let's have carrot, first time carrot. Oh,

22:25

let's have banana, first time banana.

22:28

Oh, grandma just came. Whatever

22:30

you say will be, or let's change

22:32

the diaper. Oh, it was dry, it was

22:34

wet. Anything you're gonna say

22:36

will be presented later on in

22:38

the app using speech -to -text technology.

22:41

Why? We changed

22:43

it the way you should treat

22:45

your baby diary. From the

22:47

parent's point of view, the

22:50

annoying part of opening the telephone

22:52

and type in that you were

22:54

breastfeeding, your baby used breastfeeding for

22:56

20 minutes left side. It's

23:00

fine, but you cannot stick to

23:02

that for a long time. The

23:05

parents, we enrich the world of

23:07

the parents on what they can type

23:09

in, because anything you're going to say is

23:11

going to be presented in the app. But

23:14

it's very interesting from

23:16

our side. What

23:18

is AI? AI is

23:20

not just fancy and

23:22

sophisticated algorithms. No way. AI

23:25

is about

23:27

collecting quality

23:29

data. If

23:31

you know in the area of AI,

23:33

there is a term saying garbage in,

23:35

garbage out. It's not just to develop

23:38

the rights and the most sophisticated algorithms.

23:40

It's about to have quality data. Our

23:42

data is the data that the moment you tap

23:44

the Lora and say what you have done. Let's

23:47

have carrots. It

23:49

enables us to have

23:52

data that is synchronizing

23:54

the sounds with the

23:56

motion of what is

23:58

feed your baby with

24:00

different type of foods.

24:03

Like maybe right now your baby is in

24:05

sitting position or your baby is like

24:07

nesting in your hands and you're crawling the

24:09

baby while your breastfeeding them. Maybe it's

24:11

a situation where you change the diaper and

24:13

this is what the patterns that we

24:15

need to track to develop around them algorithms

24:17

that will enable us to understand it

24:19

later on without you need to say them.

24:22

This is one aspect but the other

24:24

aspect is oh my goodness you had

24:27

carrot one time nothing happened but in

24:29

the second time in many occasions allergies

24:31

start only later not in the first

24:33

time you feed the baby with the

24:35

something. And it's so complicated to understand

24:37

what is the reason for these allergies.

24:39

And we would like to connect it

24:42

with the sleeping patterns and the crying

24:44

and the annoying activities that happen later

24:46

on. And you shared

24:48

with us very honest and

24:50

simple data, but in the future,

24:52

we will enable you to

24:54

learn from it much more things,

24:57

but we need the data.

24:59

So they may be earned. a

25:02

parent that was practiced to describe

25:04

the reality in the world because

25:06

you talk to your baby, oh,

25:08

grandma just came up, but because

25:10

you tapped it on the allura.

25:12

You earn as a parent a

25:14

very detailed baby diary. We earn

25:16

very clean and quality data that

25:18

tells us more, that enables us

25:20

to develop algorithms. So this is

25:22

one of the things we have

25:24

done. We need more data all

25:27

the time because more data gives

25:29

us more tools to develop better

25:31

algorithms. I love it because

25:33

there's always this discussions, let's say not on

25:35

the positive side with carrots, but on

25:37

the negative side. You gave

25:39

the baby some sweets, some

25:42

stuff. And then

25:44

the parents have an argument about

25:46

is the baby getting aggressive now because

25:48

of that. And if you have

25:51

some data, because three, four times this

25:53

happens and every time, like

25:55

an hour later, the child can't sleep or

25:57

something like that, you have a connection

25:59

there. something

26:01

very important about the level

26:03

of sugar in the baby's

26:06

blood. In the past,

26:08

we didn't have all of

26:10

these sweets in our life. These

26:12

sweets is, people don't know,

26:14

sugar in the form we have

26:16

it nowadays is something that

26:19

we have around 500, 400 years.

26:21

Actually, people don't

26:23

know, but the Industrial

26:26

revolution. Everybody talk about the

26:28

industrial revolution. It started in England

26:30

actually. People don't know that.

26:32

People don't know that this revolution

26:34

was based on the sugar

26:37

and the energy that you took.

26:39

You took 7, 8, 19,

26:41

15 years old kids. You

26:44

gave them a glass of

26:46

tea with a few spoons of

26:48

sugar because sugar was the

26:50

energy that made these kids to

26:52

work 20 hours a day.

26:54

and this the revolution started where

26:56

you could put these kids

26:58

with this cup of sugar and

27:01

the butter or whatever you

27:03

want them in the little bit

27:05

of piece of bread and

27:07

jam that was based on sugar

27:09

and this is what the

27:11

real engine of the industrial revolution.

27:13

Nowadays, we have sugar all

27:15

over the place, and you said

27:18

something very important about the

27:20

level of activity, crying patterns, and

27:22

I cannot fall asleep because of the

27:24

sugar I gave my baby, which is not

27:26

good point, not good. I'm sorry, I'm

27:28

saying that I'm not supposed, again, I'm not

27:30

supposed to tell you what is good

27:32

parenting, but I'm talking for my pain points

27:34

right now. So I take back,

27:37

I'm taking back my words. Do whatever you

27:39

want with your kids because this is our

27:41

methodology. But please look at

27:43

the connection between A to B. Sugar

27:45

before night sleep. Thank

27:47

you. That is great. No,

27:49

this is, I mean, there's always something

27:52

like, like if you have the data

27:54

you can make, like it's so simple.

27:56

Like now the people say, don't give

27:58

your child sugar. It's okay.

28:00

But you can, this is like this

28:02

product thing. The sugar is the product,

28:04

but the marketing would be the need.

28:06

You want to sleep. Yeah,

28:08

so then your baby has to sleep

28:10

and then don't give sugar I

28:12

have to share with you another thing

28:14

people talk about the AI AI

28:16

is going to be the next revolution

28:18

if we talked about the industrial

28:21

revolution The industrial revolution was about kind

28:23

of conversation with the horses Horses

28:25

listen, we are going to create a

28:27

technology that replace your muscles. We

28:29

might not need you anymore Oh, the

28:31

horses said my goodness. What we're

28:33

gonna do. We're going to be Nobody's

28:35

gonna need us AI

28:37

revolution, people think it's about changing,

28:39

it's a different evolution because it's

28:41

about a bit more army. We

28:43

might not need your brain and creativity,

28:46

we're going to have you AI that will

28:48

do it instead of you. Well,

28:50

maybe it's true, maybe it's not true,

28:52

nobody can predict the future. I

28:54

can tell but another thing. The

28:57

real revolution for the average

28:59

person like me and you is

29:01

about the ability to

29:04

understand that we have an opportunity to

29:06

collect data that we couldn't collect before

29:08

in much more practical and cheap way.

29:10

I will explain. In the past, in

29:12

order to collect data, you need to

29:14

have a paper and pen and to

29:17

document everything you do. Have a diary,

29:19

later on, Excel sheets, later on, application.

29:21

No, no, no, no, no. You

29:23

can have a device like a Laura, attach

29:25

it to your baby, and you are going

29:27

to have And to

29:29

digitize so many things that later

29:31

on in the future, the very same

29:33

psychologist and people that are going

29:35

to analyze it, the physicians will go

29:37

back and say, and ask the

29:39

question, how, nowadays, when you

29:41

started to give your baby calf, oh

29:43

yeah, I wrote it down, but

29:45

nobody knows what is the connection with

29:47

that carrot to the crying patterns

29:49

and the sleeping pattern, the activity level

29:52

and the pooing. Nobody connected yet. We

29:54

are gonna do that. This revolution

29:56

is about The ability

29:58

to collect data and with the

30:00

future AI is the ability

30:02

to use the very same data

30:04

and to prevent and predict

30:06

things that nobody even imagine that

30:09

you can. I

30:11

totally get that and this is

30:13

like not only the data,

30:15

but the time when you collect

30:17

the data, you focus on zero

30:19

to two years. That means this

30:21

is when parents are most stressed

30:23

and forgetful. everybody

30:25

knows their homeroom said let's mothers forget

30:27

things so if I yeah then later

30:29

I will write down that she got

30:31

carrots huh no forget you forget that

30:33

and so now you have a possibility

30:36

even more just one thing I find

30:38

really really interesting because if I take

30:40

out my phone the child is already

30:42

looking at the phone and wants the

30:44

phone True. So

30:46

true. It's so true.

30:48

I will tell you more than that.

30:50

Right now, when you develop a product,

30:52

you have to think in terms of

30:54

MVP, minimal viable product. You cannot develop

30:56

everything. Otherwise, you will never ever launch

30:58

it. We started our product

31:00

and it was designed for the first

31:03

six months. And the moment we launched

31:05

it, we started to develop the other

31:07

features to make it fit through the

31:09

first two years of life. But our

31:11

real challenge is to provide you as

31:13

the parents. Reasons

31:15

to keep using product later on

31:17

how we're gonna do that.

31:19

I would like to present you

31:21

The connection between the book

31:24

you read to your baby It's

31:26

gonna be a toddler later

31:28

on and their ability to recognize

31:30

purple that the world purple

31:32

doesn't exist in the world. It's

31:34

an imaginary world. It's an

31:36

imaginary term that we will never

31:38

ever say it if you

31:40

didn't practice your baby. So you

31:42

need to have life experiences

31:44

to play with your baby or

31:46

to read to your baby. Something

31:49

that we'll mention or we'll point, this

31:51

is purple. And later on your baby

31:53

will say purple, purple. And we would

31:55

like to show the connection and to...

31:58

You know, people say you need to

32:00

have quality time with your baby. I

32:02

would like to tell you how this

32:04

quality time is quality. What

32:06

is the quality in the quality time? I would

32:08

like you to see the connection between what you

32:10

have done with your baby and their ability to

32:12

count one, two, three, five, to ten. It's

32:15

about their thinking in math world,

32:17

which is very important, not just

32:19

vocabulary. If they start to count,

32:21

you have done something very important

32:23

that will impact their ability to

32:26

translate the world to themselves or

32:28

how much you love your baby.

32:30

We do not have enough. data

32:33

of laughing and we are not good

32:35

enough with recognizing it. It's not about

32:37

the AI and the algorithms, it's about

32:39

the data sets of baby laughter because

32:41

people don't laugh enough with the babies

32:43

and they should be laughing. And

32:45

we try to do that by analyzing

32:47

data from the public data that you

32:49

see all over the YouTube and everything,

32:51

but it's not enough. It's

32:53

not enough, okay? So we

32:56

would like to make you

32:58

use the Elora more and more

33:00

by providing you with more

33:02

tools that will show you how

33:04

you as a parent contribute

33:06

for your baby's development, cognitive development,

33:08

activity, behavior, and so on. So

33:10

two years is just the first stage. Later

33:12

on, over the very same hardware, we would

33:14

like to update the algorithms over there and

33:16

the software to enable you use it even

33:19

more. For the

33:21

people who watch the video, I'm

33:23

nodding my head crazily because as

33:25

an economist, I'm like, yes, yes,

33:27

yes, exactly. I

33:29

have to advertise.

33:33

There's an author. She's called Emily Oster.

33:35

She wrote two books on how to

33:37

raise a child. And the funny thing,

33:39

she's an economist. And she said, yeah,

33:41

we economists are not doctors, but doctors

33:43

are good at. caring for people, which

33:46

is what they should do, but economists are

33:48

good at data. So it's really the

33:50

thing. And if you have this data, you can

33:52

do so much about it. This is like, it's

33:55

really great. It's not just to

33:57

do so much about it. It's

33:59

not to bring, it's not to

34:01

do, not to bring your traumas,

34:03

your issues, your background, your guilt

34:05

feeling. It's about to deal with

34:07

it in a very simple, we

34:09

simplified everything because your baby doesn't

34:12

need this. SHIT

34:14

you bring into the relationship.

34:17

Because you still a kid of

34:19

other parents, the grandparents, and

34:22

you, many occasions when you think you

34:24

sold everything, but when you have a

34:26

baby in your life, everything comes back

34:28

to you. Sorry, I

34:31

would like you to keep it out of the

34:33

relationship with this lovely newborn. It doesn't mean that. If

34:36

one imagines the parents, the

34:39

own parents, grandparents, they grew up

34:41

in different times. Things were not

34:43

like we have. Absolutely. True. And

34:46

I have to share with

34:48

you. I raised my kids without

34:50

any baby monitors, any technologies. We

34:53

raised them. They have their

34:55

issues. they complained like and I complained

34:57

to my parents either and I

34:59

have trust me I have very good

35:02

reasons my kids think they have

35:04

good reasons no proportion between my reasons

35:06

to my my mom didn't want

35:08

to raise me my mom my mom

35:10

rejected me when I was a

35:12

baby people didn't even we didn't have

35:14

in the the language we didn't

35:16

we didn't use the term depression after

35:18

but nobody knew that and it

35:20

was shame It was shame. So she

35:22

didn't want to raise me. She

35:24

had depression and it was shame. When

35:26

I was trying to talk to

35:28

my mom about it, she didn't want

35:30

to discuss it till today. It's

35:33

impacted me in a way.

35:35

So I brought into the relationship

35:37

with my kids different issues

35:39

because of these issues and they

35:41

have issues with me. I

35:43

would love them to raise their

35:45

kids using only facts. That's

35:47

it. And to bring into

35:49

that their emotion and love and

35:51

values and cultural code, everything, but

35:54

based on facts and not

35:56

their issues as kids that I

35:58

read maybe in a bad

36:00

way. Sorry. I was not

36:02

perfect. Nobody's perfect. Nobody's perfect. This is the

36:05

thing. It's important to know. But if we

36:07

can and people want to do it, and

36:09

like, this is the thing. If I think

36:11

about reading a book, the child is... say

36:13

six months doesn't sleep so much or starts

36:15

and I have to go out in the

36:17

night with the child or whatever. I won't

36:19

read a book at that moment. I

36:21

know. I know. But what we have

36:23

done, besides of presenting you

36:25

the real facts that had happened

36:27

during the day, week, months, we

36:30

understood that technology

36:33

is not everything.

36:35

Within our app, with one click,

36:38

you can access to

36:41

a world of experts. Any

36:44

baby experts can join free

36:46

to little one dot care

36:48

app to create an account,

36:50

write their own tips. And

36:52

what you see when you access the

36:54

app and you look at over your

36:56

baby's data sets, when you were sleeping,

36:59

feeding, crying, whatever, when you click on

37:01

it, different kinds of

37:03

tips are presented. that

37:05

was written in advance by the very

37:07

same baby experts. And these tips

37:09

are, what we have done, they

37:11

are not just random tips

37:13

because they are filtered by the

37:15

age group of your baby

37:17

and the event type you just

37:19

clicked on. And you can

37:21

communicate with this expert, you can

37:23

chat with them through the

37:25

app. If you are going to

37:27

have a relationship with them,

37:30

you need to pay them separately

37:32

because it's free, but we

37:34

understood that data... AI will never

37:36

ever solve problems. Sometimes you

37:38

need to hear someone that been

37:40

there than that expert mom

37:42

or speech therapist or sleeping experts,

37:44

breastfeeding experts, nutritionists, baby care

37:46

specialists. All of them are waiting

37:48

for the parents over there. And

37:50

you need to hear it from them. Dietmar,

37:53

you are fine. It's just the

37:56

challenge for the next couple of weeks. Keep

37:58

doing what you're doing. You need to hear

38:00

that. It's not an AI. It's

38:02

not a pop -up that will tell you

38:04

you're good. You need to hear someone

38:06

and you need to question it in your

38:08

personal way. And then

38:10

it works. This connection. We created

38:12

the hub and we actually are

38:14

trying to do this up. to

38:16

bring back the whole village that

38:18

used to raise one baby. You

38:20

know, you need a village to

38:23

raise one baby and this is

38:25

what we're trying to do through

38:27

the app, but over real data,

38:29

real facts and not just your

38:31

stories and translation of reality. Totally

38:33

make sense to me because at

38:35

the moment i think is not

38:37

yet there maybe it is a

38:39

certain point that it has compassion

38:42

or can connect things but at

38:44

the moment we need hybrid solutions

38:46

where the people are still a

38:48

big part of it. I cannot

38:50

replace your face expression to a

38:52

baby your kisses and hug. and

38:55

you're talking to a baby

38:57

it will never ever replace that

38:59

don't even imagine it will

39:01

never ever replace it I'm afraid

39:03

of the day people will

39:05

start think it will it will

39:08

never ever replace I don't

39:10

I have to share something about

39:12

dialogues with a baby you

39:14

cannot put a baby in front

39:16

of telly and think that

39:18

this is exposure of baby towards

39:20

no way because we talk

39:22

in the baby language tomorrow

39:25

I would like to do

39:27

because in our face expression

39:29

and the way we pronounce

39:32

the verb the variables make

39:34

the baby understand and learn

39:36

the language we talk German

39:38

Hebrew English whatever this is

39:40

the time where the brain

39:43

as I said the neural

39:45

connections happens one million every

39:47

second one million seconds then

39:49

what they you the if

39:51

birds needs to teach the

39:55

other birds how to fly

39:57

and in their brain there

39:59

is already a neural connection

40:01

that tells you this is

40:03

the way we fly and

40:05

open our wings and what

40:07

we need to do we

40:09

have an algorithm in our

40:11

brain we were born with

40:13

that tells us you need

40:15

to learn Chinese English but

40:17

doesn't matter what language Japanese

40:19

it works And the funny

40:21

thing is that in these

40:24

early stages, this

40:26

neural connection, this world in your

40:28

brain can learn several languages at

40:30

the same time. There are

40:32

many babies that learns German

40:34

and Russian because they moved

40:36

from Russia to Germany to

40:38

Berlin and they learned both

40:40

languages. The number of

40:42

words they know is the very

40:44

same numbers of words that German baby

40:47

knows or American baby is knowing. But

40:50

they are learning different

40:52

dialects, different accents, different

40:54

grammars. And they will learn

40:56

two languages. It's fine. If

40:58

you can do it, go for it.

41:01

They will know less words, but they

41:03

will know both languages. And later on,

41:05

they will be even better than others. In

41:08

these early stages, we

41:10

have incredible abilities that I would

41:12

say it in a different way.

41:16

Kids that learn second

41:18

language. In the

41:20

elementary school, it's a miracle. It's

41:23

to learn a second language in the

41:25

elementary school or later on in the high

41:27

school, it's a miracle. When

41:29

you're doing it, when you are in the early stages, it's

41:32

like natural thing to do. Yeah,

41:36

yeah. It's really. I mean,

41:38

at the moment I learn Spanish and

41:40

it's hard. My child,

41:42

she grows up with the German

41:44

and Spanish, maybe even English or

41:46

so. And it's like natural for

41:48

her. The brain is able to

41:50

do it. And this actually, the

41:52

basic thing of Elowa is to

41:54

help the people know what's possible

41:56

and what's not possible and like

41:58

words where the thing, there's a

42:00

really important thing. Not TV, but

42:02

real words, like also moving and

42:04

all those things. You collect

42:06

You collect this data and I have

42:08

to ask this question. You

42:10

obviously, I assume you

42:13

have a data protection

42:15

strategy behind. Yeah, absolutely.

42:17

Listen, listen. First of

42:19

all, one of the

42:21

most important barriers with

42:23

wearable devices. It's not

42:26

just the behavioral thing. Yeah, to attach it

42:28

to my baby. What is it? Why

42:30

do you need that? I don't need it.

42:33

Beside of that, there are several aspects

42:35

that you need to take into

42:37

consideration. Otherwise, it's a big failure. Safety.

42:40

It has to be a

42:42

product that went through any

42:44

possible regulation. That's, for

42:46

instance, the material it's made of, the

42:48

size of it, the shape of it, how

42:50

you attach it, and so on and

42:53

so on. So you have to go through

42:55

that with a lot of understanding. You

42:57

need to work with entities that develops. And

43:00

this is what we have done. Toys.

43:02

for babies under the age of three.

43:04

Because it's a very interesting and very

43:06

professional word. You cannot do whatever you

43:08

want and there is no space for

43:10

mistakes. You cannot make mistakes. You need

43:12

to use other people 20, 40 years

43:15

experience and to work with them. This

43:17

is one thing. In

43:19

terms of privacy policies, we

43:21

have the GDPR. You

43:23

have the California's rules that

43:25

are the most advanced

43:27

states in the US. So

43:30

there are two ways. of working in

43:32

this area. As an entrepreneur, most

43:35

of them, if technical people are

43:37

listening to this podcast, I have

43:39

to tell you something very interesting.

43:42

There are two ways of dealing

43:44

with privacy policies. One, to

43:46

learn what is going

43:49

on, what is the

43:51

last version, regulation, rule,

43:54

statements, and to follow them. and it's kind

43:56

of a mission that you need to do

43:58

in order to mark V and to move

44:00

on in your life. It's another annoying mission.

44:02

Many people see that that way. There is

44:04

another way to see that and this is

44:06

what we have done. Try

44:09

to access the brain of the

44:11

people who wrote this regulation and try

44:13

to see the world through their

44:15

eyes, empathy. The moment

44:17

you do so, it's open

44:20

a new world and

44:22

instead of see the very

44:24

same issue as

44:26

a problem that you need to solve as

44:28

a mission, it gives

44:30

you a lot of freedom. Because

44:32

what is, for instance, GDPR?

44:34

The only thing they want

44:36

to do is they would

44:38

like you to explain the

44:40

simple user, what do you

44:42

collect? Why you

44:44

collect this data? Why you

44:47

need this data? What you're going

44:49

to do with this data?

44:51

And if you will understand that

44:53

and you will be curious,

44:55

do it, true curiosity, it

44:57

will enable you not to

44:59

write legal and knowing boring

45:01

papers that people don't even

45:03

read. It will make

45:05

you to make these people partnering

45:08

with you about this. And

45:10

the most important thing is like

45:12

yourself, if you don't want to

45:14

become, to keep a partner with

45:16

someone, you wanna have a red

45:19

button, one click done. I don't

45:21

want to be partnering with you.

45:23

Fine. Provide this button. You

45:25

don't have, if they, but if they

45:28

read your policies in the right way, they're

45:30

going to lose. They are going to

45:32

lose if they are not partnering with you

45:34

anymore. make them feel like they're going

45:36

to lose because it's not just about feeling,

45:38

share what you're really doing. So

45:40

when we ran at the beginning

45:42

with the beta files, alpha files,

45:45

and the early adopters programs, we

45:47

released terms of use and privacy

45:49

policies. It was documents

45:51

with pictures. It was not just text

45:53

with pictures because we wanted people to

45:55

read them to the end. We loved

45:57

it. Later on the lawyer

46:00

says pictures are not good way, it's

46:02

not good people might be understanding different

46:04

ways, but we wanted to read to

46:06

them. We forced our team of lawyers,

46:08

they had asked for that, to write

46:10

it in a way that people would

46:12

love to read it. It was very

46:14

complicated because it's a world of terminology

46:16

that you cannot twist it all over

46:18

one night. I would love

46:20

That the very same GDPR people

46:23

the very same California's all the

46:25

people who lead this world to

46:27

force company says don't use legal

46:29

words Sorry, I wish there was

46:31

because I want to read and

46:33

don't write more than one a4

46:35

paper So the moment because I

46:38

do believe in that it's about

46:40

respecting your clients That's so great.

46:42

Yeah That's it. This is what

46:44

we have done. And we work

46:46

with the parents. So privacy policy

46:48

is an issue. No advertisements. We

46:50

don't sell your data. We

46:52

don't need that. What we want to

46:54

do is the best for you. And

46:57

in the future, we will provide

46:59

more details like if you would

47:01

like to use your data. For

47:05

instance, we would like to tell

47:08

parents after we will

47:10

have a lot of babies in the US, we

47:12

would like to tell parents a lot of things

47:14

that nobody knows nowadays. The

47:16

secret world of babies is

47:18

telling parents which car

47:20

seats make, car seats

47:22

that you buy for your car,

47:24

you don't know what to buy. But

47:26

we would like to distinguish and

47:28

to tell, okay, these car seats, the

47:30

average baby fall asleep immediately. The

47:33

other car seats, that we compared

47:35

between the two, oh my goodness, although

47:37

they have amazing influences that tells

47:39

it's the best one, it's

47:41

a nightmare. You drive and

47:43

you don't, and they're the

47:45

beverage baby, don't stop crying. So

47:48

in order to share this data, can you

47:50

please tell us what Cassie to use? You don't

47:52

want, no problem, fine. Baby formulas,

47:54

which brand do you use? How

47:56

much we can tell a lot around

47:58

it how much takes you to

48:01

feed it if the baby sleep

48:03

well if the baby play and nice

48:05

and smiling the other baby formula.

48:07

Oh my goodness. It's a jungle. You

48:09

cannot But you have to do

48:11

that by explaining parents why you do

48:13

it how you're gonna use it

48:16

what they're gonna gain back Win -win

48:18

relationship. Otherwise, it won't work. Yeah Not

48:20

only this is the two things

48:22

one thing is if I don't pay

48:24

for it, I pay with my

48:26

data. So there is

48:29

somebody tricking. We say

48:31

you pay with your data.

48:33

You don't have to pay with

48:35

your data. If you pay with

48:37

your data, this is what you

48:39

and other parents are going to

48:42

gain fair. Exactly. If so, you

48:44

can donate your data basically in

48:46

this case. And if you don't

48:48

want red button from the app,

48:50

one message, we will delete the

48:52

data and then you receive an email saying,

48:54

why? Just to understand what went wrong,

48:56

what you don't like and so on. This

48:59

is what we do. And this

49:01

comes to a pure ethical

49:03

thing. It's not about lawyers and

49:05

this is what I like.

49:07

Do the right thing and customers

49:09

will love it. Because you

49:11

need to understand the logic behind

49:13

the passion that made these

49:15

people to dedicate their life to

49:17

write these privacy policies. Listen,

49:19

in the past, and

49:21

even now, in many states, in

49:23

many countries in the world, it's

49:25

still a wide world, and it's

49:27

not fair. It's not fair as

49:29

a user, from the user point

49:32

of view. Yeah? Totally.

49:36

Now we have to... come to the last

49:38

question of the interview. Although, I mean,

49:40

people out there know by now that I

49:42

have a child and I'm like totally

49:44

interested in the topic. Obviously I could go.

49:48

She's three. She's unfortunately not yet

49:51

in the area where you have

49:53

a product. But I definitely

49:55

get that. But before we

49:57

talk about that, the most important question

49:59

of the whole podcast, maybe, how

50:01

probable do you think is the Terminator

50:03

or Matrix scenario? We just talked

50:05

about ethics. So that is a good

50:07

segue. Will the machines take over? If

50:12

the machines will take over? Will

50:15

they take over the world?

50:17

Will they put us in

50:19

zoos or exterminate us like

50:21

we are cockroaches? I will

50:23

tell you. I think that

50:25

during revolutions, predicting

50:27

the future is the

50:29

most stupid thing to

50:31

do. However, during revolutions,

50:33

two things are happening. two

50:36

types of people, and

50:38

we are divided to two types of people.

50:41

And I will use the COVID

50:44

to share it with you,

50:46

okay? I will use the COVID.

50:49

All of us are split. I mean, I

50:51

will use the, if you remember the

50:53

cell phones, we, the cell phone access at

50:55

the beginning, it was in the cars

50:58

later on, people have massive, massive phone in

51:00

their hands, but they could walk and

51:02

to talk like they're walking and people look

51:04

at them, oh my goodness, what he's

51:06

doing. And we split

51:08

it to two different populations. One, oh

51:10

my goodness, I want, I want to have one of them. It

51:13

was not, it was not a big group. And

51:16

the other group, me,

51:19

I will never take this

51:21

vaccination. Me, I will never

51:23

have my boss to bring me

51:25

or buy me a phone that

51:27

everybody will be able to call

51:29

me out of the working hours.

51:31

No way, no way. What

51:33

I'm trying to say, see

51:36

in which group you are, ask

51:39

yourself, why am I in that group?

51:41

This is the very first question. Then

51:44

ask yourself, okay,

51:46

what is my

51:48

skills? What is

51:50

about my knowledge?

51:53

What is my

51:55

abilities, resources that will

51:57

make me a leader in that group?

51:59

Because the leaders will make the money. Sorry

52:03

for saying that. I'm very,

52:05

very, very bad person right now.

52:08

I'm not saying if it was good or

52:10

not good to have vaccination. I'm not saying

52:12

if it was good or not good to

52:14

purchase to be the very first person

52:16

to reconnect it all day to the internet.

52:19

The people who led

52:21

each approach made the

52:23

money become a leader

52:25

because the majority are

52:27

people who led by

52:29

others and paid for

52:31

the iPhone and suffers

52:33

from taking or not

52:35

taking vaccination. Again, I don't

52:37

care what it was the rights,

52:39

but I'm talking from how to see

52:41

revolution. Revolution is about leading it. And

52:44

I don't care what you're going to lead in the

52:46

revolution. Some

52:48

people still ride their horses nowadays and

52:51

didn't even pay attention to the industrial

52:53

revolution and they have a happy life.

52:55

I'm not saying what is good or

52:57

bad and they have ranches and they

52:59

will teach you how to ride your

53:01

horse and they make good money of

53:03

it. I'm not saying what is good

53:05

or bad. I'm saying, look at

53:07

yourself. Where am I in this revolution?

53:09

Prediction is a waste of time. Lead

53:11

it. Some people

53:13

talking about cleaning or talking about

53:15

what is going to happen, but

53:17

some people create new reality, be

53:19

part of it. This is

53:21

actually great because we are

53:23

in this is the beginners guide

53:25

to AI podcast meaning it's

53:27

about learning AI it's about connecting

53:30

to AI using it starting

53:32

to use it and Actually, yeah

53:34

starting from with with zero

53:36

to two years. They they will

53:38

be AI native those children.

53:40

This is this is coming. This

53:42

is the next way absolutely.

53:44

I think that the formal educational

53:46

system is going to suffer. more

53:49

than any other industry, because

53:51

it's easy to talk about

53:54

many industries, but think

53:56

about the average teacher, 50

53:58

years old, 55 years old, she's

54:00

good, she's good with kids. And

54:02

now she asked the kids, write me, do

54:05

this and that, they go to chat with you

54:07

right there and send it to her with

54:09

a couple of pictures from Gamma AI, and

54:11

what do you want from us?

54:14

And she needs to learn

54:16

from, these 15, 12

54:18

years old, 12, 15 years

54:20

old kids who knows

54:23

better will do better. The

54:25

toddlers and the babies we are raising

54:27

today. Oh, my

54:29

goodness. I'm afraid. I'm

54:32

afraid of them. Yeah. They're

54:34

going to be quite different than us. Yeah.

54:36

That's crazy. Yeah. As

54:39

the parents, as the parents, I think we

54:41

need to present them the world in a

54:43

way to see it as an opportunities. Yeah.

54:46

Yeah, I just think of

54:48

an Isaac Asimov story where

54:50

it's about teacher and the

54:52

school and the school is

54:54

like the robot that teaches

54:56

each child individually. I

54:59

don't think we will

55:01

need the robots because the

55:03

world, you don't need

55:05

robots, you don't need the...

55:07

entity to teach kids. You

55:09

need to create experiences and

55:11

learning through experiences is going

55:14

to change the learning from

55:16

technology that will provide you

55:18

information. Experiences are going to

55:20

replace because you don't need

55:22

to send your baby to

55:25

kids to school and they

55:27

can go and they

55:29

can learn informative world. the

55:31

informative world, it already exists

55:33

through OpenAI and any other

55:35

competitors, you don't need

55:38

that. Experiences, well, I

55:40

think we need animals and

55:42

human beings to experience the world.

55:44

Ride a horse, playing with

55:46

the cat and talking to a

55:48

human being is going to

55:50

be, and not just talking, you

55:53

know, playing in a mod with

55:55

another human being. I get goosebumps because

55:57

this is the end of the

55:59

story where the girl then says would

56:01

have been so great to be

56:03

in school with other kids and it's

56:06

exactly this. It's exactly nobody will

56:08

be able to take these experiences from

56:10

us whatever is going to happen. Especially

56:14

in the next let's say

56:16

20 years later on I

56:18

don't know. But I would

56:20

like to be part of

56:23

the leaders, because instead of

56:25

blaming or complaining or discussing

56:27

other people's activities, take

56:29

responsibility and do something. And this

56:31

is what I'm trying to do.

56:33

Maybe I will fail, but I've

56:35

tried. Great

56:39

last word for the podcast. The

56:41

only thing is, I mean, where

56:43

can we find you in the internet? Oh,

56:45

my goodness. Elora Baby

56:48

Wellness Monitor can be found on

56:50

Amazon. Elora Baby Wellness Monitor.

56:52

But we have a lovely website

56:54

named Glitter One Dot Care

56:56

over the company's name. And

56:58

over there, besides of

57:00

having a website with an

57:02

ability to purchase online

57:04

the product, And we

57:07

have a lot of

57:09

content that explains a lot

57:11

to parents and explains

57:13

baby care specialists. How can

57:15

they join the game? And

57:18

a lot of knowledge. And

57:20

over there, you can find the

57:22

groups, Facebook groups, we are

57:24

running for parents. Because we understood

57:26

that it's not just about

57:29

the AI and technology. You have

57:31

to create a holistic solution. A

57:33

to Z, that's

57:35

in the journey of

57:38

pregnancy and birth, you

57:40

will find anything you should

57:42

look for and any question you

57:44

might have to have shortcuts

57:46

to the right person in the

57:48

right community to talk to

57:50

and so on. So

57:53

I will put everything in the show notes

57:55

that people can find it because it's great.

57:57

It's a good thing. And yeah,

57:59

thank you for being here. Thank you

58:01

for hosting me. It was so nice to

58:03

talk to you. It was a pleasure

58:05

and I learned a lot. And

58:07

let's see in one or two

58:09

years you may have a product. Every

58:12

couple of months we have another idea

58:14

for another patent. Any couple of months we

58:16

learn something about this world. Oh my

58:18

God, I would love to talk to you

58:20

again. Yeah, then I definitely invite you

58:23

back and we see how things develop then.

58:25

So have a nice day, have a

58:27

lovely day and see you soon on

58:29

the podcast again. Thank you, sir. Thank

58:32

you. Yeah, you know

58:34

that I have a child by now probably

58:36

and yeah, unfortunately, she's too old for

58:38

a lower because I really would love to

58:40

test it as an economist. I love

58:42

to have the data to make data driven

58:44

decisions on what I'm you said quality

58:46

time in a sense of that you have

58:48

really an ability to say what's quality

58:51

time. love the interview and yes

58:53

connect to me look what they have

58:55

there for a product if you have

58:57

a baby that age or a toddler

58:59

look at the product it's really great

59:01

it's really something where they thought about

59:03

I think um yeah so great that

59:05

you listen to the podcast until here

59:07

if you're still here then there's something

59:10

you can do that's go to the

59:12

newsletter page argoberlin .com slash newsletter or

59:14

just click follow on your podcast app

59:16

And it would be great to have

59:18

you in the next podcast again here.

59:20

Bye from Berlin. It's Dietmar

59:22

from Argo. And don't forget

59:24

to quickly check out sensei .io and

59:26

see what a digital replica can

59:28

do for you. You