good evening I’m ended entrepreneur here from Berlin it’s wonderful to be here
from Berlin it’s wonderful to be here
from Berlin it’s wonderful to be here and I’m I’m a nerd I love to build cup
and I’m I’m a nerd I love to build cup
and I’m I’m a nerd I love to build cup of computers and developer other games
of computers and developer other games
of computers and developer other games as a kid and so I become an entrepreneur
as a kid and so I become an entrepreneur
as a kid and so I become an entrepreneur and by now I’ve been involved in over 35
and by now I’ve been involved in over 35
and by now I’ve been involved in over 35 companies as an investor as the founder
companies as an investor as the founder
companies as an investor as the founder the last years and all of them were
the last years and all of them were
the last years and all of them were software companies and also I liked
software companies and also I liked
software companies and also I liked sense fiction if it’s books my company
sense fiction if it’s books my company
sense fiction if it’s books my company was just mange mentioned and people who
was just mange mentioned and people who
was just mange mentioned and people who like this serious Stargate know why for
like this serious Stargate know why for
like this serious Stargate know why for example named my company a scart and
example named my company a scart and
example named my company a scart and software also that the last years and I
software also that the last years and I
software also that the last years and I learned that the next stage of evolution
learned that the next stage of evolution
learned that the next stage of evolution is smart systems smart software’s so I
is smart systems smart software’s so I
is smart systems smart software’s so I combine my interest for science fiction
combine my interest for science fiction
combine my interest for science fiction with my business with a passion and came
with my business with a passion and came
with my business with a passion and came out that I really like the topic of
out that I really like the topic of
out that I really like the topic of artificial intelligence so I founded my
artificial intelligence so I founded my
artificial intelligence so I founded my own venture capital firm so I invest
own venture capital firm so I invest
own venture capital firm so I invest into young companies there I have my own
into young companies there I have my own
into young companies there I have my own conference and today I would like to
conference and today I would like to
conference and today I would like to speak with you about AI is eating our
speak with you about AI is eating our
speak with you about AI is eating our world but that this is something good
world but that this is something good
world but that this is something good for us so artificial intelligence could
for us so artificial intelligence could
for us so artificial intelligence could be the last invention of humankind these
be the last invention of humankind these
be the last invention of humankind these are not my words these are words by way
are not my words these are words by way
are not my words these are words by way smarter people like Ella mas and Stephen
smarter people like Ella mas and Stephen
smarter people like Ella mas and Stephen Hopkins and Bill Gates they all warned
Hopkins and Bill Gates they all warned
Hopkins and Bill Gates they all warned us about artificial intelligence and
us about artificial intelligence and
us about artificial intelligence and they are there right it could be the end
they are there right it could be the end
they are there right it could be the end of humankind but it also could mean that
of humankind but it also could mean that
of humankind but it also could mean that artificial intelligence will help us to
artificial intelligence will help us to
artificial intelligence will help us to conquer the universe
conquer the universe
conquer the universe to have a more happier life a great life
to have a more happier life a great life
to have a more happier life a great life and they will as usual technology will
and they will as usual technology will
and they will as usual technology will help us to make more out of as a human
help us to make more out of as a human
help us to make more out of as a human species so why is artificial
species so why is artificial
species so why is artificial intelligence popular again I mean the
intelligence popular again I mean the
intelligence popular again I mean the concept of artificial intelligence is
concept of artificial intelligence is
concept of artificial intelligence is very old already the Greeks the Romans
very old already the Greeks the Romans
very old already the Greeks the Romans the the Chinese had the concept of
the the Chinese had the concept of
the the Chinese had the concept of human-like machines and today we
human-like machines and today we
human-like machines and today we understand that artificial intelligence
understand that artificial intelligence
understand that artificial intelligence software which is more human-like either
software which is more human-like either
software which is more human-like either it’s supposed to look like us humans or
it’s supposed to look like us humans or
it’s supposed to look like us humans or it’s supposed to do things which we
it’s supposed to do things which we
it’s supposed to do things which we accept as a hue
accept as a hue
accept as a hue intelligence seeing the world hearing
intelligence seeing the world hearing
intelligence seeing the world hearing the world understanding text but also
the world understanding text but also
the world understanding text but also thinking like us in the last five years
thinking like us in the last five years
thinking like us in the last five years three factors came together which makes
three factors came together which makes
three factors came together which makes this topic again very interesting why it
this topic again very interesting why it
this topic again very interesting why it is especially in Hollywood so popular it
is especially in Hollywood so popular it
is especially in Hollywood so popular it has processing power it is data and it
has processing power it is data and it
has processing power it is data and it is machine learning so we all know that
is machine learning so we all know that
is machine learning so we all know that computer used to fill a whole room like
computer used to fill a whole room like
computer used to fill a whole room like this one and they were slow and not
this one and they were slow and not
this one and they were slow and not powerful but thanks to Moore’s law which
powerful but thanks to Moore’s law which
powerful but thanks to Moore’s law which means on it’s valid for 50 years that
means on it’s valid for 50 years that
means on it’s valid for 50 years that every 18 months the computers get more
every 18 months the computers get more
every 18 months the computers get more powerful they get more efficient and
powerful they get more efficient and
powerful they get more efficient and they get cheaper this is the curve that
they get cheaper this is the curve that
they get cheaper this is the curve that they get better ever every year so today
they get better ever every year so today
they get better ever every year so today every one of you has a supercomputer in
every one of you has a supercomputer in
every one of you has a supercomputer in his pocket in a smartphone computer way
his pocket in a smartphone computer way
his pocket in a smartphone computer way more powerful than anything you could
more powerful than anything you could
more powerful than anything you could imagine 10 years ago and at the same
imagine 10 years ago and at the same
imagine 10 years ago and at the same time we produce huge amount of data and
time we produce huge amount of data and
time we produce huge amount of data and every year we produce more and more data
every year we produce more and more data
every year we produce more and more data whatever you do out there it is tracked
whatever you do out there it is tracked
whatever you do out there it is tracked it is measured whatever you do out there
it is measured whatever you do out there
it is measured whatever you do out there where you eat where you go what you
where you eat where you go what you
where you eat where you go what you click what you buy it is stored
click what you buy it is stored
click what you buy it is stored somewhere so today we live in a time we
somewhere so today we live in a time we
somewhere so today we live in a time we have a lot of hugely powerful computers
have a lot of hugely powerful computers
have a lot of hugely powerful computers with a lot of processing powers an
with a lot of processing powers an
with a lot of processing powers an increasingly amount of data and that is
increasingly amount of data and that is
increasingly amount of data and that is what Google Amazon Apple invest billions
what Google Amazon Apple invest billions
what Google Amazon Apple invest billions into artificial intelligence to make
into artificial intelligence to make
into artificial intelligence to make sense out of this data to earn more
sense out of this data to earn more
sense out of this data to earn more money with it but also because if you
money with it but also because if you
money with it but also because if you have more processing power like a bigger
have more processing power like a bigger
have more processing power like a bigger brain and you have more data so more
brain and you have more data so more
brain and you have more data so more informations together you need
informations together you need
informations together you need intelligence to make sense of this is
intelligence to make sense of this is
intelligence to make sense of this is the third field which we have progress
the third field which we have progress
the third field which we have progress in is machine learning and for machine
in is machine learning and for machine
in is machine learning and for machine learning there let’s say three ways the
learning there let’s say three ways the
learning there let’s say three ways the old system was expert based so you had a
old system was expert based so you had a
old system was expert based so you had a system where you program every rule
system where you program every rule
system where you program every rule there and if the Machine got a it knew
there and if the Machine got a it knew
there and if the Machine got a it knew it had to do B so it’s a very logic
it had to do B so it’s a very logic
it had to do B so it’s a very logic based system but you had to program
based system but you had to program
based system but you had to program every result and the second way is what
every result and the second way is what
every result and the second way is what was common was typical machine learning
was common was typical machine learning
was common was typical machine learning which means you have a problem you look
which means you have a problem you look
which means you have a problem you look for the right algorithm to solve it but
for the right algorithm to solve it but
for the right algorithm to solve it but we had breakthroughs a couple of years
we had breakthroughs a couple of years
we had breakthroughs a couple of years ago in the field what we call deep
ago in the field what we call deep
ago in the field what we call deep learning and deep learning on neural
learning and deep learning on neural
learning and deep learning on neural nets and layers behind so most of us on
nets and layers behind so most of us on
nets and layers behind so most of us on the technical so let me explain this
the technical so let me explain this
the technical so let me explain this very easy deep learning is the idea of
very easy deep learning is the idea of
very easy deep learning is the idea of mimicking how the human brain work so if
mimicking how the human brain work so if
mimicking how the human brain work so if you have two points and the machine is
you have two points and the machine is
you have two points and the machine is doing something right the path between
doing something right the path between
doing something right the path between two points is getting strengthened and
two points is getting strengthened and
two points is getting strengthened and if the machines doing something wrong
if the machines doing something wrong
if the machines doing something wrong the path between two points is getting
the path between two points is getting
the path between two points is getting weakened it’s very interesting to us
weakened it’s very interesting to us
weakened it’s very interesting to us understand this because these machines
understand this because these machines
understand this because these machines now start to be a black box present-day
now start to be a black box present-day
now start to be a black box present-day machines are cognitive systems so they
machines are cognitive systems so they
machines are cognitive systems so they gather their own data they run
gather their own data they run
gather their own data they run simulations and math with this and then
simulations and math with this and then
simulations and math with this and then instead of just proposing actions and we
instead of just proposing actions and we
instead of just proposing actions and we humans say do it or not they do it on
humans say do it or not they do it on
humans say do it or not they do it on their own so they execute their own
their own so they execute their own
their own so they execute their own actions they measure the results and
actions they measure the results and
actions they measure the results and then they optimize again on this and
then they optimize again on this and
then they optimize again on this and they do this over and over and over
they do this over and over and over
they do this over and over and over again and they don’t need days or years
again and they don’t need days or years
again and they don’t need days or years for this they need seconds they can run
for this they need seconds they can run
for this they need seconds they can run hundred thousands of simulations
hundred thousands of simulations
hundred thousands of simulations parallel within minutes and they earn
parallel within minutes and they earn
parallel within minutes and they earn and eat and learn and improve on each of
and eat and learn and improve on each of
and eat and learn and improve on each of them and that’s why they are blackbox
them and that’s why they are blackbox
them and that’s why they are blackbox because we don’t know anymore what’s
because we don’t know anymore what’s
because we don’t know anymore what’s happening inside we know what it’s in
happening inside we know what it’s in
happening inside we know what it’s in you know what the input is and we know
you know what the input is and we know
you know what the input is and we know the output but we don’t know how it
the output but we don’t know how it
the output but we don’t know how it happens itself so I say currently we are
happens itself so I say currently we are
happens itself so I say currently we are in the age of narrower artificial
in the age of narrower artificial
in the age of narrower artificial intelligence artificial intelligence
intelligence artificial intelligence
intelligence artificial intelligence because we have machines all out there
because we have machines all out there
because we have machines all out there who are superior to us who are better
who are superior to us who are better
who are superior to us who are better faster stronger than we are
faster stronger than we are
faster stronger than we are but it’s narrow because these machines
but it’s narrow because these machines
but it’s narrow because these machines still are stupid and the way that if
still are stupid and the way that if
still are stupid and the way that if they’re really good at playing chess
they’re really good at playing chess
they’re really good at playing chess they are not good at playing go or they
they are not good at playing go or they
they are not good at playing go or they can’t do it and the Machine who’s able
can’t do it and the Machine who’s able
can’t do it and the Machine who’s able to play or to drive a car can’t fly a
to play or to drive a car can’t fly a
to play or to drive a car can’t fly a plane so today they are narrow because
plane so today they are narrow because
plane so today they are narrow because they’re limited in the field so now our
they’re limited in the field so now our
they’re limited in the field so now our AI is already out there this is nothing
AI is already out there this is nothing
AI is already out there this is nothing new
new
new if you go on Google yes Google already
if you go on Google yes Google already
if you go on Google yes Google already knows what you will type in before you
knows what you will type in before you
knows what you will type in before you have decided it yourself if you go
have decided it yourself if you go
have decided it yourself if you go Netflix Netflix knows what you should
Netflix Netflix knows what you should
Netflix Netflix knows what you should watch and they really meet your taste
watch and they really meet your taste
watch and they really meet your taste before you have known yourself every one
before you have known yourself every one
before you have known yourself every one of you has an AIRAID I at home or in
of you has an AIRAID I at home or in
of you has an AIRAID I at home or in your pocket it can be zero it can be a
your pocket it can be zero it can be a
your pocket it can be zero it can be a katana or it can be Amazon echo some
katana or it can be Amazon echo some
katana or it can be Amazon echo some will say well they are not human level
will say well they are not human level
will say well they are not human level right but I know kids who are five years
right but I know kids who are five years
right but I know kids who are five years old who speak for our
old who speak for our
old who speak for our Missouri they have deep conversations
Missouri they have deep conversations
Missouri they have deep conversations about this so it’s just a question of
about this so it’s just a question of
about this so it’s just a question of your perspective we know that today yes
your perspective we know that today yes
your perspective we know that today yes self-driving cars exist and they all
self-driving cars exist and they all
self-driving cars exist and they all have an arrow a ice inside Google is
have an arrow a ice inside Google is
have an arrow a ice inside Google is using a different one than Audi is doing
using a different one than Audi is doing
using a different one than Audi is doing just us using different one than
just us using different one than
just us using different one than commodity is using so there are all
commodity is using so there are all
commodity is using so there are all different ways of narrow eyes they are
different ways of narrow eyes they are
different ways of narrow eyes they are and the beauty about them is if one car
and the beauty about them is if one car
and the beauty about them is if one car is learning every other cars learning
is learning every other cars learning
is learning every other cars learning it’s here so you don’t have like with us
it’s here so you don’t have like with us
it’s here so you don’t have like with us humans everyone has to do the experience
humans everyone has to do the experience
humans everyone has to do the experience in its own no you need one piece of
in its own no you need one piece of
in its own no you need one piece of software which is learning this and then
software which is learning this and then
software which is learning this and then you can send it out to every other
you can send it out to every other
you can send it out to every other system and they learn too so we speak
system and they learn too so we speak
system and they learn too so we speak about a certain form of swarm
about a certain form of swarm
about a certain form of swarm intelligence we have self-driving trucks
intelligence we have self-driving trucks
intelligence we have self-driving trucks and we have self-driving drones and this
and we have self-driving drones and this
and we have self-driving drones and this is why I say artificial intelligence is
is why I say artificial intelligence is
is why I say artificial intelligence is eating our world because you can
eating our world because you can
eating our world because you can implement artificial intelligence in
implement artificial intelligence in
implement artificial intelligence in every piece of electronics wherever you
every piece of electronics wherever you
every piece of electronics wherever you have is CPU so a micro computer mini
have is CPU so a micro computer mini
have is CPU so a micro computer mini computer in any forms you can integrate
computer in any forms you can integrate
computer in any forms you can integrate AI into it and everything is getting
AI into it and everything is getting
AI into it and everything is getting smarter everything is more adapting to
smarter everything is more adapting to
smarter everything is more adapting to you but also they are doing things and
you but also they are doing things and
you but also they are doing things and what they do is machines work they work
what they do is machines work they work
what they do is machines work they work for us and they always have done this I
for us and they always have done this I
for us and they always have done this I mean that’s why we invent them where the
mean that’s why we invent them where the
mean that’s why we invent them where the history of inventing stuff because they
history of inventing stuff because they
history of inventing stuff because they are supposed to do things we don’t like
are supposed to do things we don’t like
are supposed to do things we don’t like to do anymore these machines work out
to do anymore these machines work out
to do anymore these machines work out there for us every day for 24 hours 365
there for us every day for 24 hours 365
there for us every day for 24 hours 365 days a year they don’t want to race
days a year they don’t want to race
days a year they don’t want to race they don’t complain they don’t take a
they don’t complain they don’t take a
they don’t complain they don’t take a salary yes they don’t get sick they are
salary yes they don’t get sick they are
salary yes they don’t get sick they are always on line and also an advantage for
always on line and also an advantage for
always on line and also an advantage for them is the more you use them the
them is the more you use them the
them is the more you use them the cheaper they get the more experience
cheaper they get the more experience
cheaper they get the more experience they are the more affordable they are
they are the more affordable they are
they are the more affordable they are the better they are you more you train
the better they are you more you train
the better they are you more you train them the more you can better you can use
them the more you can better you can use
them the more you can better you can use them and throughout history we have this
them and throughout history we have this
them and throughout history we have this we use machines to do the physical work
we use machines to do the physical work
we use machines to do the physical work which we don’t like to do anymore we use
which we don’t like to do anymore we use
which we don’t like to do anymore we use machines to do the boring work which we
machines to do the boring work which we
machines to do the boring work which we don’t like to do and we use machines to
don’t like to do and we use machines to
don’t like to do and we use machines to do the thinking work which we don’t like
do the thinking work which we don’t like
do the thinking work which we don’t like to do we use machines for the things we
to do we use machines for the things we
to do we use machines for the things we don’t want to do
don’t want to do
don’t want to do and why because they provide us with
and why because they provide us with
and why because they provide us with more Laban site lifetime time to live if
more Laban site lifetime time to live if
more Laban site lifetime time to live if machines do all the work we can be more
machines do all the work we can be more
machines do all the work we can be more ourself we have more time for family for
ourself we have more time for family for
ourself we have more time for family for kids for our hobbies to read a book to
kids for our hobbies to read a book to
kids for our hobbies to read a book to travel the world to study forever if you
travel the world to study forever if you
travel the world to study forever if you want to write and to start a company to
want to write and to start a company to
want to write and to start a company to do community work to do something good
do community work to do something good
do community work to do something good to be more human
to be more human
to be more human so machines do all the work so we can be
so machines do all the work so we can be
so machines do all the work so we can be more human
more human
more human this also means I’d have to say yes they
this also means I’d have to say yes they
this also means I’d have to say yes they will steal your jobs they will replace
will steal your jobs they will replace
will steal your jobs they will replace jobs not as hard like this but this will
jobs not as hard like this but this will
jobs not as hard like this but this will come roughly 50% of the jobs which
come roughly 50% of the jobs which
come roughly 50% of the jobs which exists today
exists today
exists today they won’t exist and not in the next 30
they won’t exist and not in the next 30
they won’t exist and not in the next 30 years anymore
years anymore
years anymore kids which are born today they are
kids which are born today they are
kids which are born today they are educated for jobs which don’t exist when
educated for jobs which don’t exist when
educated for jobs which don’t exist when they finish high school and this is
they finish high school and this is
they finish high school and this is natural progress but this is
natural progress but this is
natural progress but this is accelerating is getting faster and here
accelerating is getting faster and here
accelerating is getting faster and here I have a small list of jobs which will
I have a small list of jobs which will
I have a small list of jobs which will be replaced by machines
be replaced by machines
be replaced by machines sooner or later yes and maybe your job
sooner or later yes and maybe your job
sooner or later yes and maybe your job is there or what you’re studying maybe
is there or what you’re studying maybe
is there or what you’re studying maybe it’s not so if you do something in front
it’s not so if you do something in front
it’s not so if you do something in front of a computer not good
of a computer not good
of a computer not good yes if you’re doing something with
yes if you’re doing something with
yes if you’re doing something with humans yes you’re yet on the safe side
humans yes you’re yet on the safe side
humans yes you’re yet on the safe side the good part is machines won’t replace
the good part is machines won’t replace
the good part is machines won’t replace you as a person it’s more that you will
you as a person it’s more that you will
you as a person it’s more that you will use AI and machines to enhance yourself
use AI and machines to enhance yourself
use AI and machines to enhance yourself you will use AI to get more productive
you will use AI to get more productive
you will use AI to get more productive and the things you do you will use
and the things you do you will use
and the things you do you will use software so the software is doing the
software so the software is doing the
software so the software is doing the boring mundane stuff you don’t like to
boring mundane stuff you don’t like to
boring mundane stuff you don’t like to do and you have more time to make
do and you have more time to make
do and you have more time to make decisions to meet people to rule use
decisions to meet people to rule use
decisions to meet people to rule use your brain the way you want to do it and
your brain the way you want to do it and
your brain the way you want to do it and you don’t have to do the boring stuff
you don’t have to do the boring stuff
you don’t have to do the boring stuff anymore but on the midterm it also means
anymore but on the midterm it also means
anymore but on the midterm it also means that companies need to hire less people
that companies need to hire less people
that companies need to hire less people because they you increase the output so
because they you increase the output so
because they you increase the output so they just need less people to achieve
they just need less people to achieve
they just need less people to achieve the same output so this is something we
the same output so this is something we
the same output so this is something we are facing this is something which would
are facing this is something which would
are facing this is something which would be clear to us and that is why I say we
be clear to us and that is why I say we
be clear to us and that is why I say we have to shift our perspective about the
have to shift our perspective about the
have to shift our perspective about the system we are living in because I say we
system we are living in because I say we
system we are living in because I say we need a system where you don’t have to
need a system where you don’t have to
need a system where you don’t have to work anymore
work anymore
work anymore I say we need
I say we need
I say we need system where you can work well this is
system where you can work well this is
system where you can work well this is optional but to have a job and
optional but to have a job and
optional but to have a job and especially we Germans it’s very
especially we Germans it’s very
especially we Germans it’s very important for us to have a job because
important for us to have a job because
important for us to have a job because we like to identify ourself with us we
we like to identify ourself with us we
we like to identify ourself with us we do yes should not be the essential thing
do yes should not be the essential thing
do yes should not be the essential thing and I don’t know the solution how we
and I don’t know the solution how we
and I don’t know the solution how we have this but we need a solution at 50%
have this but we need a solution at 50%
have this but we need a solution at 50% of society out of jobs and we can’t have
of society out of jobs and we can’t have
of society out of jobs and we can’t have Civil War we can’t you know let this
Civil War we can’t you know let this
Civil War we can’t you know let this happen so we need to have a system where
happen so we need to have a system where
happen so we need to have a system where we fix this the unconditional basic
we fix this the unconditional basic
we fix this the unconditional basic income for example is one idea this is
income for example is one idea this is
income for example is one idea this is something you should discuss at least we
something you should discuss at least we
something you should discuss at least we should start discussing this and speak
should start discussing this and speak
should start discussing this and speak about this
about this
about this so before I finish I would like to give
so before I finish I would like to give
so before I finish I would like to give you a last slide and tell you this is
you a last slide and tell you this is
you a last slide and tell you this is the best human time ever to live it is
the best human time ever to live it is
the best human time ever to live it is and we you should be happy about this
and we you should be happy about this
and we you should be happy about this just look two hundred years ago our life
just look two hundred years ago our life
just look two hundred years ago our life x70 30 years so everyone older than
x70 30 years so everyone older than
x70 30 years so everyone older than thirty by now we can be happy to live
thirty by now we can be happy to live
thirty by now we can be happy to live now his newborn kids and this time they
now his newborn kids and this time they
now his newborn kids and this time they are expected to live hundred years at
are expected to live hundred years at
are expected to live hundred years at the same time the average income of a
the same time the average income of a
the same time the average income of a German and the Western world itself
German and the Western world itself
German and the Western world itself increased by ten just in the last 80
increased by ten just in the last 80
increased by ten just in the last 80 years and we work less for this we used
years and we work less for this we used
years and we work less for this we used to work averaged hours of 80 today we
to work averaged hours of 80 today we
to work averaged hours of 80 today we work an average hours less than 40 so
work an average hours less than 40 so
work an average hours less than 40 so this means you’re living longer you have
this means you’re living longer you have
this means you’re living longer you have more money in your pocket you can buy
more money in your pocket you can buy
more money in your pocket you can buy more things because everything is
more things because everything is
more things because everything is getting cheaper and you’re working less
getting cheaper and you’re working less
getting cheaper and you’re working less for this so I say this are pretty
for this so I say this are pretty
for this so I say this are pretty amazing times we’re living in I say this
amazing times we’re living in I say this
amazing times we’re living in I say this is a great future which we are looking
is a great future which we are looking
is a great future which we are looking forward to because this is a trend this
forward to because this is a trend this
forward to because this is a trend this is a curve which is going up this won’t
is a curve which is going up this won’t
is a curve which is going up this won’t stop sure there will be a lot of new
stop sure there will be a lot of new
stop sure there will be a lot of new technologies if we speak about VR a our
technologies if we speak about VR a our
technologies if we speak about VR a our nano robotics you know artificial
nano robotics you know artificial
nano robotics you know artificial general intelligence super intelligence
general intelligence super intelligence
general intelligence super intelligence of foreign each of these technologies
of foreign each of these technologies
of foreign each of these technologies will bring us challenges and they will
will bring us challenges and they will
will bring us challenges and they will force us to adapt as a person and as a
force us to adapt as a person and as a
force us to adapt as a person and as a system but each new technology will also
system but each new technology will also
system but each new technology will also bring opportunities these opportunities
bring opportunities these opportunities
bring opportunities these opportunities will make you live longer be wealthier
will make you live longer be wealthier
will make you live longer be wealthier and be more happy so this is the reason
and be more happy so this is the reason
and be more happy so this is the reason why I get every get up every morning
why I get every get up every morning
why I get every get up every morning this is what I fight for this is the
this is what I fight for this is the
this is what I fight for this is the future I wanted to present for you and I
future I wanted to present for you and I
future I wanted to present for you and I with you together I want to make that we
with you together I want to make that we
with you together I want to make that we all
all
all try to make this world a little bit
try to make this world a little bit
try to make this world a little bit better – thank you
better – thank you
better – thank you [Applause]
”
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