well I got my first computer in the age of 8 and
of 8 and
of 8 and since then I’m hooked in the digital
since then I’m hooked in the digital
since then I’m hooked in the digital world I was involved in over 30
world I was involved in over 30
world I was involved in over 30 companies as an entrepreneur and
companies as an entrepreneur and
companies as an entrepreneur and investor in the last years mainly the
investor in the last years mainly the
investor in the last years mainly the software space and through influenced by
software space and through influenced by
software space and through influenced by science fiction which I love if it’s
science fiction which I love if it’s
science fiction which I love if it’s Gibson or hard laying or child straws
Gibson or hard laying or child straws
Gibson or hard laying or child straws and the series like stargates I
and the series like stargates I
and the series like stargates I discovered that the natural evolution of
discovered that the natural evolution of
discovered that the natural evolution of software is artificial intelligence
software is artificial intelligence
software is artificial intelligence someone said it could be the last
someone said it could be the last
someone said it could be the last invention we do as humankind and that’s
invention we do as humankind and that’s
invention we do as humankind and that’s what why I would like to speak with you
what why I would like to speak with you
what why I would like to speak with you today about that AI is eating our world
today about that AI is eating our world
today about that AI is eating our world and that this is something we should be
and that this is something we should be
and that this is something we should be happy about artificial intelligence is
happy about artificial intelligence is
happy about artificial intelligence is not a new concept already the Romans the
not a new concept already the Romans the
not a new concept already the Romans the Greeks the Chinese they had a concept of
Greeks the Chinese they had a concept of
Greeks the Chinese they had a concept of human-like machines so it is through
human-like machines so it is through
human-like machines so it is through human history that we’re thinking about
human history that we’re thinking about
human history that we’re thinking about machines who could be more like us today
machines who could be more like us today
machines who could be more like us today we understand machines who look more
we understand machines who look more
we understand machines who look more like us who think like us who see the
like us who think like us who see the
like us who think like us who see the world like us and also it got recently
world like us and also it got recently
world like us and also it got recently very popular in Hollywood again if it’s
very popular in Hollywood again if it’s
very popular in Hollywood again if it’s gays if it’s a landmass if it’s a
gays if it’s a landmass if it’s a
gays if it’s a landmass if it’s a hulking they all speak currently about
hulking they all speak currently about
hulking they all speak currently about artificial intelligence and the reason
artificial intelligence and the reason
artificial intelligence and the reason is three factors came together in the
is three factors came together in the
is three factors came together in the last three years which are interesting
last three years which are interesting
last three years which are interesting to earth the first is the increase in
to earth the first is the increase in
to earth the first is the increase in processing power the second is data and
processing power the second is data and
processing power the second is data and the third is progress in machine
the third is progress in machine
the third is progress in machine learning um we all know that computers
learning um we all know that computers
learning um we all know that computers used to be very very big and very slow
used to be very very big and very slow
used to be very very big and very slow and very stupid and they used to fill
and very stupid and they used to fill
and very stupid and they used to fill rooms like this rooms like this were
rooms like this rooms like this were
rooms like this rooms like this were computers and they were just a smart
computers and they were just a smart
computers and they were just a smart calculator just a calculator but today
calculator just a calculator but today
calculator just a calculator but today we all have a supercomputer in our
we all have a supercomputer in our
we all have a supercomputer in our pocket in our smartphone thanks to
pocket in our smartphone thanks to
pocket in our smartphone thanks to Moore’s law which is valid for the last
Moore’s law which is valid for the last
Moore’s law which is valid for the last 50 years every 18 months a computer is
50 years every 18 months a computer is
50 years every 18 months a computer is half the size half the price and double
half the size half the price and double
half the size half the price and double the speed so computers are getting
the speed so computers are getting
the speed so computers are getting faster from time to time from year to
faster from time to time from year to
faster from time to time from year to year and this won’t stop so it’s like
year and this won’t stop so it’s like
year and this won’t stop so it’s like your brain would get better just imagine
your brain would get better just imagine
your brain would get better just imagine you would get smarter every eighteen
you would get smarter every eighteen
you would get smarter every eighteen month what you could do with this so
month what you could do with this so
month what you could do with this so computer get better this is the first
computer get better this is the first
computer get better this is the first things they get smarter and faster the
things they get smarter and faster the
things they get smarter and faster the second is we have more data it’s like
second is we have more data it’s like
second is we have more data it’s like for us humans more data means you have
for us humans more data means you have
for us humans more data means you have more process and thanks to the internet
more process and thanks to the internet
more process and thanks to the internet 25 years ago we produce every day more
25 years ago we produce every day more
25 years ago we produce every day more the day before whatever you do on this
the day before whatever you do on this
the day before whatever you do on this smartphone whatever you do offline
smartphone whatever you do offline
smartphone whatever you do offline everything is tracked everything’s
everything is tracked everything’s
everything is tracked everything’s stored whatever we do everything
stored whatever we do everything
stored whatever we do everything especially digital we do this is
especially digital we do this is
especially digital we do this is somewhere safe on stored on a server and
somewhere safe on stored on a server and
somewhere safe on stored on a server and that is why companies like Google like
that is why companies like Google like
that is why companies like Google like Facebook they use this huge complex
Facebook they use this huge complex
Facebook they use this huge complex processing powers in combination with
processing powers in combination with
processing powers in combination with data to make sense out of the world they
data to make sense out of the world they
data to make sense out of the world they have and they use machine learning to
have and they use machine learning to
have and they use machine learning to use all these computers and data to make
use all these computers and data to make
use all these computers and data to make even their business models more you know
even their business models more you know
even their business models more you know to understand better what the customers
to understand better what the customers
to understand better what the customers do to make more money
do to make more money
do to make more money just imagine what this means if
just imagine what this means if
just imagine what this means if computers are getting stronger faster
computers are getting stronger faster
computers are getting stronger faster and you have more data to do it so
and you have more data to do it so
and you have more data to do it so machine learning is that deer that you
machine learning is that deer that you
machine learning is that deer that you do not need to program everything yes if
do not need to program everything yes if
do not need to program everything yes if you don’t use machine learning you want
you don’t use machine learning you want
you don’t use machine learning you want to improve a computer or a pro computer
to improve a computer or a pro computer
to improve a computer or a pro computer program you have to write it in the code
program you have to write it in the code
program you have to write it in the code you run it you test it and then you have
you run it you test it and then you have
you run it you test it and then you have to write the code again with machine
to write the code again with machine
to write the code again with machine learning the machine is able to adapt
learning the machine is able to adapt
learning the machine is able to adapt itself and with the machine learning
itself and with the machine learning
itself and with the machine learning something the last years had a
something the last years had a
something the last years had a breakthrough which is really interesting
breakthrough which is really interesting
breakthrough which is really interesting and it’s called deep learning and deep
and it’s called deep learning and deep
and it’s called deep learning and deep learning our neural nets and layers I
learning our neural nets and layers I
learning our neural nets and layers I was they asked me to explain this a
was they asked me to explain this a
was they asked me to explain this a little bit more so this means it’s
little bit more so this means it’s
little bit more so this means it’s mimicking how the brain works and it’s
mimicking how the brain works and it’s
mimicking how the brain works and it’s in easy words you have two points and
in easy words you have two points and
in easy words you have two points and when the machine is doing something
when the machine is doing something
when the machine is doing something right the path between two points is
right the path between two points is
right the path between two points is getting stronger if the machine is doing
getting stronger if the machine is doing
getting stronger if the machine is doing something wrong the path between two
something wrong the path between two
something wrong the path between two points is getting weaker and you can
points is getting weaker and you can
points is getting weaker and you can imagine it’s like you drive a car when
imagine it’s like you drive a car when
imagine it’s like you drive a car when you’re 18 you need to learn all these
you’re 18 you need to learn all these
you’re 18 you need to learn all these rules you go to school learn these rules
rules you go to school learn these rules
rules you go to school learn these rules you have a driver’s they’re in German
you have a driver’s they’re in German
you have a driver’s they’re in German you have to take 30 hours and more you
you have to take 30 hours and more you
you have to take 30 hours and more you learn this and learn this until you get
learn this and learn this until you get
learn this and learn this until you get more experiences you don’t think anymore
more experiences you don’t think anymore
more experiences you don’t think anymore you you have something like experience
you you have something like experience
you you have something like experience it’s like instinct and this is him is
it’s like instinct and this is him is
it’s like instinct and this is him is about machines the more you run a
about machines the more you run a
about machines the more you run a machine the better it gets and these
machine the better it gets and these
machine the better it gets and these machines are on the step of being
machines are on the step of being
machines are on the step of being cognitive machines so the machines today
cognitive machines so the machines today
cognitive machines so the machines today using deep learning they can gather data
using deep learning they can gather data
using deep learning they can gather data yes then they can run simulations your
yes then they can run simulations your
yes then they can run simulations your mathematics is complex models and then
mathematics is complex models and then
mathematics is complex models and then they propose actions and today you don’t
they propose actions and today you don’t
they propose actions and today you don’t tell them anymore what they have to do
tell them anymore what they have to do
tell them anymore what they have to do they run their own actions to execute
they run their own actions to execute
they run their own actions to execute them they measure the results and then
them they measure the results and then
them they measure the results and then they optimize so I repeat this machine’s
they optimize so I repeat this machine’s
they optimize so I repeat this machine’s optimize themselves and we don’t know
optimize themselves and we don’t know
optimize themselves and we don’t know any
any
any what’s happening inside machine start
what’s happening inside machine start
what’s happening inside machine start trading stocks machines drive cars
trading stocks machines drive cars
trading stocks machines drive cars machines develop own encryptions and we
machines develop own encryptions and we
machines develop own encryptions and we don’t know anymore how they do it within
don’t know anymore how they do it within
don’t know anymore how they do it within their certain frames they decide on
their certain frames they decide on
their certain frames they decide on themselves they improve on themselves
themselves they improve on themselves
themselves they improve on themselves and they do this simulator Slee there
and they do this simulator Slee there
and they do this simulator Slee there are companies out there who run a
are companies out there who run a
are companies out there who run a machine and then they copy them eight
machine and then they copy them eight
machine and then they copy them eight times and within two days they have 16
times and within two days they have 16
times and within two days they have 16 20 and more different outcomes and
20 and more different outcomes and
20 and more different outcomes and versions while a human can do this only
versions while a human can do this only
versions while a human can do this only afterwards machines do this peril so
afterwards machines do this peril so
afterwards machines do this peril so what I want to say is we come to the
what I want to say is we come to the
what I want to say is we come to the point I call this the age of narrow
point I call this the age of narrow
point I call this the age of narrow artificial intelligence it’s narrow
artificial intelligence it’s narrow
artificial intelligence it’s narrow artificial intelligence because these
artificial intelligence because these
artificial intelligence because these machines are very very intelligent very
machines are very very intelligent very
machines are very very intelligent very good in their specific trained field
good in their specific trained field
good in their specific trained field training machines got cheaper and faster
training machines got cheaper and faster
training machines got cheaper and faster and easier than ever the more processing
and easier than ever the more processing
and easier than ever the more processing power.you happen the more data you have
power.you happen the more data you have
power.you happen the more data you have the easier it is to train a machine and
the easier it is to train a machine and
the easier it is to train a machine and these machines today we used to train
these machines today we used to train
these machines today we used to train them we already have today machines who
them we already have today machines who
them we already have today machines who we have taught to train themselves so
we have taught to train themselves so
we have taught to train themselves so you don’t have to teach them that they
you don’t have to teach them that they
you don’t have to teach them that they have to learn they know how to learn
have to learn they know how to learn
have to learn they know how to learn themselves so you give them a task and
themselves so you give them a task and
themselves so you give them a task and then they solve it and they solve it in
then they solve it and they solve it in
then they solve it and they solve it in ways we can’t imagine ourselves they saw
ways we can’t imagine ourselves they saw
ways we can’t imagine ourselves they saw with different and faster and maybe more
with different and faster and maybe more
with different and faster and maybe more creative than we do a narrow artificial
creative than we do a narrow artificial
creative than we do a narrow artificial intelligence are there already we just
intelligence are there already we just
intelligence are there already we just don’t always see them Google is using
don’t always see them Google is using
don’t always see them Google is using them to figure out what you will type in
them to figure out what you will type in
them to figure out what you will type in before you type it in yes
before you type it in yes
before you type it in yes Netflix is using narrow artificial
Netflix is using narrow artificial
Netflix is using narrow artificial intelligence to decide what you should
intelligence to decide what you should
intelligence to decide what you should watch before you thought about this
watch before you thought about this
watch before you thought about this we all have artificial intelligences at
we all have artificial intelligences at
we all have artificial intelligences at home
home
home is that Sverre in your smartphone or it
is that Sverre in your smartphone or it
is that Sverre in your smartphone or it is at katana from Microsoft or it’s from
is at katana from Microsoft or it’s from
is at katana from Microsoft or it’s from Amazon echo well it’s not smart for you
Amazon echo well it’s not smart for you
Amazon echo well it’s not smart for you but I know kids who speak with 0e every
but I know kids who speak with 0e every
but I know kids who speak with 0e every day for a couple of hours for them this
day for a couple of hours for them this
day for a couple of hours for them this is a real communication they don’t think
is a real communication they don’t think
is a real communication they don’t think about this or this is just the machine
about this or this is just the machine
about this or this is just the machine it’s stupid we all have seen this
it’s stupid we all have seen this
it’s stupid we all have seen this self-driving cars this is a form of
self-driving cars this is a form of
self-driving cars this is a form of narrower 53 artificial intelligence –
narrower 53 artificial intelligence –
narrower 53 artificial intelligence – and there’s not only one solution
and there’s not only one solution
and there’s not only one solution Tesla’s a solution BMW is working
Tesla’s a solution BMW is working
Tesla’s a solution BMW is working solutions comedy eyes and working
solutions comedy eyes and working
solutions comedy eyes and working solution this even more than one version
solution this even more than one version
solution this even more than one version out of this then you should go with Auto
out of this then you should go with Auto
out of this then you should go with Auto this is future but this is real and it
this is future but this is real and it
this is future but this is real and it come we received on the cities and this
come we received on the cities and this
come we received on the cities and this will be there and will increase there
will be there and will increase there
will be there and will increase there are self driving trucks based on
are self driving trucks based on
are self driving trucks based on artificial intelligences this is real –
artificial intelligences this is real –
artificial intelligences this is real – it’s proven it’s just policies and
it’s proven it’s just policies and
it’s proven it’s just policies and legislation takes way longer until we
legislation takes way longer until we
legislation takes way longer until we see it on the road you can use
see it on the road you can use
see it on the road you can use artificial intelligence almost in every
artificial intelligence almost in every
artificial intelligence almost in every object it’s like a layer you see it or
object it’s like a layer you see it or
object it’s like a layer you see it or you don’t see it it is everywhere
you don’t see it it is everywhere
you don’t see it it is everywhere wherever you have a computer you can put
wherever you have a computer you can put
wherever you have a computer you can put artificial intelligence in there and
artificial intelligence in there and
artificial intelligence in there and they can do something for us that means
they can do something for us that means
they can do something for us that means machines work machines work for us
machines work machines work for us
machines work machines work for us that’s why we invent them we invent them
that’s why we invent them we invent them
that’s why we invent them we invent them so they work for us they work for us 24
so they work for us they work for us 24
so they work for us they work for us 24 hours a day 365 days a week a year they
hours a day 365 days a week a year they
hours a day 365 days a week a year they don’t complain they don’t want a race
don’t complain they don’t want a race
don’t complain they don’t want a race they don’t go on a strike and they got
they don’t go on a strike and they got
they don’t go on a strike and they got cheaper the more you use them they get
cheaper the more you use them they get
cheaper the more you use them they get more efficient the more we use them we
more efficient the more we use them we
more efficient the more we use them we use machines to do the physical work we
use machines to do the physical work we
use machines to do the physical work we don’t like to do we used machines to do
don’t like to do we used machines to do
don’t like to do we used machines to do the boring work we don’t like to do and
the boring work we don’t like to do and
the boring work we don’t like to do and we use machines to do the thinking work
we use machines to do the thinking work
we use machines to do the thinking work we honestly don’t like to do anymore
and what is the benefit for us well the
and what is the benefit for us well the benefit for us is we have more live
benefit for us is we have more live
benefit for us is we have more live insight we have more time to live we
insight we have more time to live we
insight we have more time to live we only have in an average life 4,500 weeks
only have in an average life 4,500 weeks
only have in an average life 4,500 weeks so time is and we learnt this today is
so time is and we learnt this today is
so time is and we learnt this today is very scarce the most scarce thing we
very scarce the most scarce thing we
very scarce the most scarce thing we have the only limited resources in our
have the only limited resources in our
have the only limited resources in our life so when the machines do the work
life so when the machines do the work
life so when the machines do the work for us we have more time to live well
for us we have more time to live well
for us we have more time to live well more time for the important things in
more time for the important things in
more time for the important things in life which is family which is friends
life which is family which is friends
life which is family which is friends which is traveling your wife your
which is traveling your wife your
which is traveling your wife your husband your kids it’s reading a book
husband your kids it’s reading a book
husband your kids it’s reading a book it’s travel the world it’s doing
it’s travel the world it’s doing
it’s travel the world it’s doing something for the community or start a
something for the community or start a
something for the community or start a company where the machines do the work
company where the machines do the work
company where the machines do the work for us we have more time to be human
for us we have more time to be human
for us we have more time to be human however and this is the first people ask
however and this is the first people ask
however and this is the first people ask me what is about jobs and honestly I
me what is about jobs and honestly I
me what is about jobs and honestly I won’t tell you well this is you know
won’t tell you well this is you know
won’t tell you well this is you know going to end very easy yes machines are
going to end very easy yes machines are
going to end very easy yes machines are there and they are continuing to do the
there and they are continuing to do the
there and they are continuing to do the jobs for us because we want this that’s
jobs for us because we want this that’s
jobs for us because we want this that’s why we invent them it’s because they are
why we invent them it’s because they are
why we invent them it’s because they are supposed to do the things we don’t like
supposed to do the things we don’t like
supposed to do the things we don’t like to do so there is the estimation that
to do so there is the estimation that
to do so there is the estimation that only in let’s say in Germany in the next
only in let’s say in Germany in the next
only in let’s say in Germany in the next 20 years five to ten million jobs will
20 years five to ten million jobs will
20 years five to ten million jobs will be replaced by machines for Europe it’s
be replaced by machines for Europe it’s
be replaced by machines for Europe it’s 50 million we speak about hundreds
50 million we speak about hundreds
50 million we speak about hundreds millions of jobs which would could be
millions of jobs which would could be
millions of jobs which would could be replaced by machines robots and
replaced by machines robots and
replaced by machines robots and computers over the next decades just
computers over the next decades just
computers over the next decades just think about sales agents think about
think about sales agents think about
think about sales agents think about customer support text drivers cab
customer support text drivers cab
customer support text drivers cab drivers and so on this is just a small
drivers and so on this is just a small
drivers and so on this is just a small list a compiled to ask a couple of
list a compiled to ask a couple of
list a compiled to ask a couple of people what jobs could be replace and
people what jobs could be replace and
people what jobs could be replace and there are a lot of jobs there the good
there are a lot of jobs there the good
there are a lot of jobs there the good thing is it won’t replace you personal
thing is it won’t replace you personal
thing is it won’t replace you personal right away it’s more that you will use
right away it’s more that you will use
right away it’s more that you will use artificial intelligence to do more out
artificial intelligence to do more out
artificial intelligence to do more out of your job you use artificial
of your job you use artificial
of your job you use artificial intelligence and computers to leverage
intelligence and computers to leverage
intelligence and computers to leverage what you do today but on the long run
what you do today but on the long run
what you do today but on the long run companies just hire less people because
companies just hire less people because
companies just hire less people because AI + humans is enough then let’s say 20
AI + humans is enough then let’s say 20
AI + humans is enough then let’s say 20 or 30 humans did this before so AI is
or 30 humans did this before so AI is
or 30 humans did this before so AI is just there and supporting you it won’t
just there and supporting you it won’t
just there and supporting you it won’t replace you right away just on the long
replace you right away just on the long
replace you right away just on the long term we need less people to have the
term we need less people to have the
term we need less people to have the same productivity and output and it’s
same productivity and output and it’s
same productivity and output and it’s everywhere there when you sit in front
everywhere there when you sit in front
everywhere there when you sit in front of the computer
of the computer
of the computer yes eh I will replace you if you’re
yes eh I will replace you if you’re
yes eh I will replace you if you’re working with people a is not there yet
working with people a is not there yet
working with people a is not there yet you’re on the safe side and this is
you’re on the safe side and this is
you’re on the safe side and this is something we should not be afraid of but
something we should not be afraid of but
something we should not be afraid of but we need to discuss and this is something
we need to discuss and this is something
we need to discuss and this is something we need to be aware of this will come
we need to be aware of this will come
we need to be aware of this will come and that’s why I’m here today we need to
and that’s why I’m here today we need to
and that’s why I’m here today we need to speak about the system what we don’t
speak about the system what we don’t
speak about the system what we don’t have to work anymore yes we need to
have to work anymore yes we need to
have to work anymore yes we need to speak up as a system which is I call the
speak up as a system which is I call the
speak up as a system which is I call the droplets future I have this picture of a
droplets future I have this picture of a
droplets future I have this picture of a future where we don’t have to work
future where we don’t have to work
future where we don’t have to work anymore we only work because we want to
anymore we only work because we want to
anymore we only work because we want to we only do the things which are our
we only do the things which are our
we only do the things which are our passion we only do the things which we
passion we only do the things which we
passion we only do the things which we have a drive for we get up in the
have a drive for we get up in the
have a drive for we get up in the morning because we really want to do
morning because we really want to do
morning because we really want to do this and it does not have to be for the
this and it does not have to be for the
this and it does not have to be for the money it can be for a deeper and higher
money it can be for a deeper and higher
money it can be for a deeper and higher meaning so we need to speak up of the
meaning so we need to speak up of the
meaning so we need to speak up of the system how can do this I don’t have the
system how can do this I don’t have the
system how can do this I don’t have the solution there are things we can discuss
solution there are things we can discuss
solution there are things we can discuss like you know unconditional basic income
like you know unconditional basic income
like you know unconditional basic income and so forth but we need to figure this
and so forth but we need to figure this
and so forth but we need to figure this out as a society how we do this
out as a society how we do this
out as a society how we do this transition from a you know a presence
transition from a you know a presence
transition from a you know a presence where you have to work to survive to
where you have to work to survive to
where you have to work to survive to future where this is optional and where
future where this is optional and where
future where this is optional and where drop is not necessary to have a good
drop is not necessary to have a good
drop is not necessary to have a good living and to be human for the end let’s
living and to be human for the end let’s
living and to be human for the end let’s look a little bit back for the last
look a little bit back for the last
look a little bit back for the last hundred fifty years for the last five
hundred fifty years for the last five
hundred fifty years for the last five two generations life got really really
two generations life got really really
two generations life got really really good for humans I can say that we are
good for humans I can say that we are
good for humans I can say that we are living in a greatest time of human
living in a greatest time of human
living in a greatest time of human history even we don’t see it our average
history even we don’t see it our average
history even we don’t see it our average life expectancy doubled it has everyone
life expectancy doubled it has everyone
life expectancy doubled it has everyone older than 30 here in this room yes you
older than 30 here in this room yes you
older than 30 here in this room yes you can be happy to live today because only
can be happy to live today because only
can be happy to live today because only hundred years ago you would be dead most
hundred years ago you would be dead most
hundred years ago you would be dead most likely we have waving money in our
likely we have waving money in our
likely we have waving money in our pocket our average income and wealth
pocket our average income and wealth
pocket our average income and wealth increased to six hundred two thousand
increased to six hundred two thousand
increased to six hundred two thousand percent just in the Western countries at
percent just in the Western countries at
percent just in the Western countries at the same time we work less we work half
the same time we work less we work half
the same time we work less we work half the time you used to work a hundred
the time you used to work a hundred
the time you used to work a hundred years ago average working time with 80
years ago average working time with 80
years ago average working time with 80 hours today we work 35 to 40 hours in
hours today we work 35 to 40 hours in
hours today we work 35 to 40 hours in average so we live longer
average so we live longer
average so we live longer we are healthier with more money in our
we are healthier with more money in our
we are healthier with more money in our pocket we can buy more things we work
pocket we can buy more things we work
pocket we can buy more things we work less for this and this is the trend we
less for this and this is the trend we
less for this and this is the trend we have this is the progress we had in the
have this is the progress we had in the
have this is the progress we had in the last 150 years because we embrace
last 150 years because we embrace
last 150 years because we embrace technology
technology
technology jeez yes with every new thing which will
jeez yes with every new thing which will
jeez yes with every new thing which will come which can be AI AGI
come which can be AI AGI
come which can be AI AGI superintelligence nano robotics which
superintelligence nano robotics which
superintelligence nano robotics which relatives of four we have challenges
relatives of four we have challenges
relatives of four we have challenges it has challenges for you as a person
it has challenges for you as a person
it has challenges for you as a person for our system we’re living and for
for our system we’re living and for
for our system we’re living and for companies and so forth but it’s also
companies and so forth but it’s also
companies and so forth but it’s also opportunities and they will bring us a
opportunities and they will bring us a
opportunities and they will bring us a better life and more happy life this is
better life and more happy life this is
better life and more happy life this is the future I’m fighting for this is the
the future I’m fighting for this is the
the future I’m fighting for this is the future I think we should all fight for
future I think we should all fight for
future I think we should all fight for and this is what I’m living for that we
and this is what I’m living for that we
and this is what I’m living for that we all achieve it thank you
”
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