so I have a confession to make I’m not technology optimist and I was
I’m not technology optimist and I was
I’m not technology optimist and I was always like that so I think it all
always like that so I think it all
always like that so I think it all started when I was around 10 years old
started when I was around 10 years old
started when I was around 10 years old and my sister would studies she came
and my sister would studies she came
and my sister would studies she came down home from the University of
down home from the University of
down home from the University of Technology from the Faculty of control
Technology from the Faculty of control
Technology from the Faculty of control engineering and robotics and she said to
engineering and robotics and she said to
engineering and robotics and she said to me you know I was some very strange
me you know I was some very strange
me you know I was some very strange lecture where they were saying about the
lecture where they were saying about the
lecture where they were saying about the automatisation the robot ization and the
automatisation the robot ization and the
automatisation the robot ization and the artificial intelligence and I was
artificial intelligence and I was
artificial intelligence and I was horrified I didn’t understand that at
horrified I didn’t understand that at
horrified I didn’t understand that at all and furious later when I was little
all and furious later when I was little
all and furious later when I was little bit older I did understand the
bit older I did understand the
bit older I did understand the difference between us
difference between us
difference between us so she’s Generation X and I am the
so she’s Generation X and I am the
so she’s Generation X and I am the Millennial Generation so even though
Millennial Generation so even though
Millennial Generation so even though it’s only eight years apart between us
it’s only eight years apart between us
it’s only eight years apart between us we are quite different
we are quite different
we are quite different so she was growing up with the classical
so she was growing up with the classical
so she was growing up with the classical knowledge with the books and with the
knowledge with the books and with the
knowledge with the books and with the classical information system I was
classical information system I was
classical information system I was growing up with the Lego bricks and the
growing up with the Lego bricks and the
growing up with the Lego bricks and the growing Internet bubble so the
growing Internet bubble so the
growing Internet bubble so the disruption of the Internet in the and
disruption of the Internet in the and
disruption of the Internet in the and disruption of the digital world is
disruption of the digital world is
disruption of the digital world is something that I got used to and you
something that I got used to and you
something that I got used to and you probably would not be surprised that I
probably would not be surprised that I
probably would not be surprised that I ended up as a student of Robotics at
ended up as a student of Robotics at
ended up as a student of Robotics at sheena ended up as a student of physics
sheena ended up as a student of physics
sheena ended up as a student of physics and actually the second battle that i
and actually the second battle that i
and actually the second battle that i had about the technology optimists side
had about the technology optimists side
had about the technology optimists side was on that studies because you know
was on that studies because you know
was on that studies because you know when you’re going for the technology
when you’re going for the technology
when you’re going for the technology university you’re expecting to meet
university you’re expecting to meet
university you’re expecting to meet people like you this crazy freaks that
people like you this crazy freaks that
people like you this crazy freaks that are all about the technology and I did
are all about the technology and I did
are all about the technology and I did there was plenty of them but on the
there was plenty of them but on the
there was plenty of them but on the other side there were more pragmatic
other side there were more pragmatic
other side there were more pragmatic professors and they were saying to me on
professors and they were saying to me on
professors and they were saying to me on all of my three universities where I
all of my three universities where I
all of my three universities where I went they were saying you know you will
went they were saying you know you will
went they were saying you know you will be the future you will be causing the
be the future you will be causing the
be the future you will be causing the future but you will be causing the job
future but you will be causing the job
future but you will be causing the job loss and I wasn’t re I wasn’t good about
loss and I wasn’t re I wasn’t good about
loss and I wasn’t re I wasn’t good about it I wasn’t happy about it and I was
it I wasn’t happy about it and I was
it I wasn’t happy about it and I was arguing with that and you probably know
arguing with that and you probably know
arguing with that and you probably know that it’s not the best thing to argue
that it’s not the best thing to argue
that it’s not the best thing to argue with your professor but I finally
with your professor but I finally
with your professor but I finally graduated and I did start working I be
graduated and I did start working I be
graduated and I did start working I be and this third battle started five years
and this third battle started five years
and this third battle started five years ago so when I was working in IBM I get
ago so when I was working in IBM I get
ago so when I was working in IBM I get known about IBM Watson and you probably
known about IBM Watson and you probably
known about IBM Watson and you probably heard about it because IBM Watson is
heard about it because IBM Watson is
heard about it because IBM Watson is this piece of technology that beat up
this piece of technology that beat up
this piece of technology that beat up the two the best guys in Europe are the
the two the best guys in Europe are the
the two the best guys in Europe are the game from all over the world and it
game from all over the world and it
game from all over the world and it started the revolution of artificial
started the revolution of artificial
started the revolution of artificial intelligence but it’s not the new
intelligence but it’s not the new
intelligence but it’s not the new revolution at all it started 70 years
revolution at all it started 70 years
revolution at all it started 70 years ago
ago
ago and it started with the famous Alan
and it started with the famous Alan
and it started with the famous Alan Turing he showed the Turing test
Turing he showed the Turing test
Turing he showed the Turing test so saying if you have the artificial
so saying if you have the artificial
so saying if you have the artificial intelligence system and you cover it the
intelligence system and you cover it the
intelligence system and you cover it the human will be not able to tell whether
human will be not able to tell whether
human will be not able to tell whether is speaking to the human or to the
is speaking to the human or to the
is speaking to the human or to the machine until that day today we are not
machine until that day today we are not
machine until that day today we are not able to do that but even though we have
able to do that but even though we have
able to do that but even though we have five or three or many ups and downs of
five or three or many ups and downs of
five or three or many ups and downs of this technology saying we are very very
this technology saying we are very very
this technology saying we are very very close to that and when I was starting to
close to that and when I was starting to
close to that and when I was starting to work with the Watson with this narrow
work with the Watson with this narrow
work with the Watson with this narrow artificial intelligence so the
artificial intelligence so the
artificial intelligence so the artificial intelligence system that is
artificial intelligence system that is
artificial intelligence system that is specific to the some tasks and can act
specific to the some tasks and can act
specific to the some tasks and can act as a human in specific tasks I was
as a human in specific tasks I was
as a human in specific tasks I was thinking where there is real this time
thinking where there is real this time
thinking where there is real this time so I found the Gartner hype curve and
so I found the Gartner hype curve and
so I found the Gartner hype curve and this is the report that is done yearly
this is the report that is done yearly
this is the report that is done yearly and station of Technology and in 2007
and station of Technology and in 2007
and station of Technology and in 2007 this technology was showing the things
this technology was showing the things
this technology was showing the things that we already have like the OLED TVs
that we already have like the OLED TVs
that we already have like the OLED TVs and at least or everything from that
and at least or everything from that
and at least or everything from that from that Gartner hype curve from 2007
from that Gartner hype curve from 2007
from that Gartner hype curve from 2007 is now implemented in 2012 so five years
is now implemented in 2012 so five years
is now implemented in 2012 so five years ago there was first glance of artificial
ago there was first glance of artificial
ago there was first glance of artificial intelligence so that language
intelligence so that language
intelligence so that language question-answering and there are other
question-answering and there are other
question-answering and there are other things like crowdsourcing big data or
things like crowdsourcing big data or
things like crowdsourcing big data or NFC which are implemented now and the
NFC which are implemented now and the
NFC which are implemented now and the more interesting part starts in 2016 so
more interesting part starts in 2016 so
more interesting part starts in 2016 so the latest report that we have yet and
the latest report that we have yet and
the latest report that we have yet and it shows many things around the
it shows many things around the
it shows many things around the artificial intelligence so we have
artificial intelligence so we have
artificial intelligence so we have smarter robotics we have general
smarter robotics we have general
smarter robotics we have general artificial intelligence that’s supposed
artificial intelligence that’s supposed
artificial intelligence that’s supposed to be in the next 10 years so it is
to be in the next 10 years so it is
to be in the next 10 years so it is happening at least from the
happening at least from the
happening at least from the technological point of view but the
technological point of view but the
technological point of view but the second point whether the cause the job
second point whether the cause the job
second point whether the cause the job loss so when I was working for IBM I was
loss so when I was working for IBM I was
loss so when I was working for IBM I was the watson and i was teaching about
the watson and i was teaching about
the watson and i was teaching about watson I was telling dozens of people
watson I was telling dozens of people
watson I was telling dozens of people about it and discuss it with them with
about it and discuss it with them with
about it and discuss it with them with the architects with the enterpreneurs
the architects with the enterpreneurs
the architects with the enterpreneurs with the execs with the directors and
with the execs with the directors and
with the execs with the directors and they were all happy about it they were
they were all happy about it they were
they were all happy about it they were all saying yes this is the future we
all saying yes this is the future we
all saying yes this is the future we want to do it we really really want to
want to do it we really really want to
want to do it we really really want to be in the part of this wave that stars
be in the part of this wave that stars
be in the part of this wave that stars that but the best that side for me was
that but the best that side for me was
that but the best that side for me was starting when we were focusing on the
starting when we were focusing on the
starting when we were focusing on the business case because actually the
business case because actually the
business case because actually the business case was always always almost
business case was always always almost
business case was always always almost almost always the same we were saying
almost always the same we were saying
almost always the same we were saying about cost savings and the cost savings
about cost savings and the cost savings
about cost savings and the cost savings in this work though
in this work though
in this work though it means the job loss so my technology
it means the job loss so my technology
it means the job loss so my technology optimistic side was defeated I was
optimistic side was defeated I was
optimistic side was defeated I was really feeling very sad about it and I
really feeling very sad about it and I
really feeling very sad about it and I thought maybe I’m doing something wrong
thought maybe I’m doing something wrong
thought maybe I’m doing something wrong maybe you know I’m looking for the bad
maybe you know I’m looking for the bad
maybe you know I’m looking for the bad things maybe in poor and maybe all
things maybe in poor and maybe all
things maybe in poor and maybe all around the world you are looking for
around the world you are looking for
around the world you are looking for other things so I started to look for
other things so I started to look for
other things so I started to look for the reports about the job loss and
the reports about the job loss and
the reports about the job loss and McKinsey says that from 8% to 78% of the
McKinsey says that from 8% to 78% of the
McKinsey says that from 8% to 78% of the tasks of human can be optimized even the
tasks of human can be optimized even the
tasks of human can be optimized even the worse is from the Oxford because they
worse is from the Oxford because they
worse is from the Oxford because they say that in next 25 years
say that in next 25 years
say that in next 25 years 47% of jobs will be destroyed and last
47% of jobs will be destroyed and last
47% of jobs will be destroyed and last but not least the World Economic Forum
but not least the World Economic Forum
but not least the World Economic Forum the future of jobs report says next
the future of jobs report says next
the future of jobs report says next three years the most disruptive things
three years the most disruptive things
three years the most disruptive things in next two years will be the robotics
in next two years will be the robotics
in next two years will be the robotics the nanotechnology and biotechnology and
the nanotechnology and biotechnology and
the nanotechnology and biotechnology and the robot ization
the robot ization
the robot ization and the artificial intelligence so it
and the artificial intelligence so it
and the artificial intelligence so it seems that is happening and if we were
seems that is happening and if we were
seems that is happening and if we were thinking about the reports let’s think
thinking about the reports let’s think
thinking about the reports let’s think about the bright minds of our world so
about the bright minds of our world so
about the bright minds of our world so for example Stephen Hawking he’s saying
for example Stephen Hawking he’s saying
for example Stephen Hawking he’s saying the powerful AI can be the worst thing
the powerful AI can be the worst thing
the powerful AI can be the worst thing that ever happened to the human race and
that ever happened to the human race and
that ever happened to the human race and the same thing of very similar things
the same thing of very similar things
the same thing of very similar things says the co-founder of Apple Steve
says the co-founder of Apple Steve
says the co-founder of Apple Steve Wozniak and founder of Microsoft Bill
Wozniak and founder of Microsoft Bill
Wozniak and founder of Microsoft Bill Gates and even the big bad companies
Gates and even the big bad companies
Gates and even the big bad companies like Google like IBM like Microsoft are
like Google like IBM like Microsoft are
like Google like IBM like Microsoft are working on a foundation called
working on a foundation called
working on a foundation called partnership on AI to focus on the
partnership on AI to focus on the
partnership on AI to focus on the positive sides of the artificial
positive sides of the artificial
positive sides of the artificial intelligence to not
intelligence to not
intelligence to not go into the wrong direction but does it
go into the wrong direction but does it
go into the wrong direction but does it mean that we are going to some kind of
mean that we are going to some kind of
mean that we are going to some kind of dystopia that there will be no longer
dystopia that there will be no longer
dystopia that there will be no longer the human race like it used to be oh
the human race like it used to be oh
the human race like it used to be oh there will be no human intelligence so
there will be no human intelligence so
there will be no human intelligence so technology optimist
technology optimist
technology optimist please remember about that I have to say
please remember about that I have to say
please remember about that I have to say yes unless we will think about it
yes unless we will think about it
yes unless we will think about it differently because actually what
differently because actually what
differently because actually what Stephen Hawking said quite different
Stephen Hawking said quite different
Stephen Hawking said quite different he said the rise of powerful AI can be
he said the rise of powerful AI can be
he said the rise of powerful AI can be the worst or the best thing that ever
the worst or the best thing that ever
the worst or the best thing that ever happened to the human race and we simply
happened to the human race and we simply
happened to the human race and we simply don’t know it yet and the same thing
don’t know it yet and the same thing
don’t know it yet and the same thing says rykors Vale who is the one of the
says rykors Vale who is the one of the
says rykors Vale who is the one of the biggest futurist of our times and he is
biggest futurist of our times and he is
biggest futurist of our times and he is working for Google in this Innovation
working for Google in this Innovation
working for Google in this Innovation Lab in Google and he created a book
Lab in Google and he created a book
Lab in Google and he created a book singularity is near and by technological
singularity is near and by technological
singularity is near and by technological singularity he means something similar
singularity he means something similar
singularity he means something similar to the singularity point in a black hole
to the singularity point in a black hole
to the singularity point in a black hole and you know black hole is a very dense
and you know black hole is a very dense
and you know black hole is a very dense structure that you put above in the
structure that you put above in the
structure that you put above in the universe and it’s so dense that causes
universe and it’s so dense that causes
universe and it’s so dense that causes that the light to not come out and that
that the light to not come out and that
that the light to not come out and that singularity point we don’t know what
singularity point we don’t know what
singularity point we don’t know what happens because probably the laws of
happens because probably the laws of
happens because probably the laws of physics collapse and we don’t know
physics collapse and we don’t know
physics collapse and we don’t know what’s next and he’s saying about the
what’s next and he’s saying about the
what’s next and he’s saying about the singularity in technological singularity
singularity in technological singularity
singularity in technological singularity in the same way so he says a point where
in the same way so he says a point where
in the same way so he says a point where the super intelligence will be created
the super intelligence will be created
the super intelligence will be created the laws of physics and the laws of our
the laws of physics and the laws of our
the laws of physics and the laws of our humanity will be destroyed it will be
humanity will be destroyed it will be
humanity will be destroyed it will be different but whether it will be good or
different but whether it will be good or
different but whether it will be good or bad it’s out of our case to focus on and
bad it’s out of our case to focus on and
bad it’s out of our case to focus on and we are focusing now to be able to put it
we are focusing now to be able to put it
we are focusing now to be able to put it in a good world so he created the
in a good world so he created the
in a good world so he created the singularity University which is a kind
singularity University which is a kind
singularity University which is a kind of big movement all around the world and
of big movement all around the world and
of big movement all around the world and he’s gathering people from all around
he’s gathering people from all around
he’s gathering people from all around the world to solve the global humanity
the world to solve the global humanity
the world to solve the global humanity challenges with the uses of exponential
challenges with the uses of exponential
challenges with the uses of exponential technologies so artificial intelligence
technologies so artificial intelligence
technologies so artificial intelligence robotics nanotechnology and
robotics nanotechnology and
robotics nanotechnology and biotechnology and it’s quite successful
biotechnology and it’s quite successful
biotechnology and it’s quite successful with that so this is one approach the
with that so this is one approach the
with that so this is one approach the second approach shows a long mask and
second approach shows a long mask and
second approach shows a long mask and you probably Ellen mask he’s the guy
you probably Ellen mask he’s the guy
you probably Ellen mask he’s the guy from Tesla from the SpaceX and from the
from Tesla from the SpaceX and from the
from Tesla from the SpaceX and from the paper and the next thing that he’s
paper and the next thing that he’s
paper and the next thing that he’s working on is the neural lace
working on is the neural lace
working on is the neural lace so the chip that you can implement in
so the chip that you can implement in
so the chip that you can implement in your brain and have the perfect
your brain and have the perfect
your brain and have the perfect combination so the human intelligence
combination so the human intelligence
combination so the human intelligence and the computing power of a computer
and the computing power of a computer
and the computing power of a computer system and if you think yeah
system and if you think yeah
system and if you think yeah transhumanism is a little bit too much
transhumanism is a little bit too much
transhumanism is a little bit too much for me but I think twice because
for me but I think twice because
for me but I think twice because actually all the people that were
actually all the people that were
actually all the people that were hearing aids all the people that were
hearing aids all the people that were
hearing aids all the people that were pacemakers all the people that were
pacemakers all the people that were
pacemakers all the people that were truckers like myself we are partially
truckers like myself we are partially
truckers like myself we are partially cyborgs and we’ll be going that way if
cyborgs and we’ll be going that way if
cyborgs and we’ll be going that way if we want or we don’t want to for example
we want or we don’t want to for example
we want or we don’t want to for example Swedish startup is now implanting the
Swedish startup is now implanting the
Swedish startup is now implanting the chips into their employees it’s like
chips into their employees it’s like
chips into their employees it’s like news from the last month and they’re
news from the last month and they’re
news from the last month and they’re doing it just because it’s easier to
doing it just because it’s easier to
doing it just because it’s easier to entrance the office or easier to pay so
entrance the office or easier to pay so
entrance the office or easier to pay so if you are talking about jobs at all
if you are talking about jobs at all
if you are talking about jobs at all should we think that this technology
should we think that this technology
should we think that this technology will really disrupt it so much that will
will really disrupt it so much that will
will really disrupt it so much that will be the jobless future and if you want to
be the jobless future and if you want to
be the jobless future and if you want to think about it let’s think why we work
think about it let’s think why we work
think about it let’s think why we work like we work now so why do we have
like we work now so why do we have
like we work now so why do we have eight-hour working day and you’ll be
eight-hour working day and you’ll be
eight-hour working day and you’ll be probably surprised that it happened
probably surprised that it happened
probably surprised that it happened because every one man and one slogan
because every one man and one slogan
because every one man and one slogan eight-hour work eight-hour recreation
eight-hour work eight-hour recreation
eight-hour work eight-hour recreation and eight-hour rest and this slogan was
and eight-hour rest and this slogan was
and eight-hour rest and this slogan was seen by Henry Ford and he putted it in
seen by Henry Ford and he putted it in
seen by Henry Ford and he putted it in their companies and now we have
their companies and now we have
their companies and now we have eight-hour working day there’s no
eight-hour working day there’s no
eight-hour working day there’s no scientific evidence nothing at all and
scientific evidence nothing at all and
scientific evidence nothing at all and actually if you look on the scientific
actually if you look on the scientific
actually if you look on the scientific evidence of that it’s quite different
evidence of that it’s quite different
evidence of that it’s quite different there are many people writing about it
there are many people writing about it
there are many people writing about it one of them is Tony Schwartz and in his
one of them is Tony Schwartz and in his
one of them is Tony Schwartz and in his book he says about managing your energy
book he says about managing your energy
book he says about managing your energy and not your time and he’s saying about
and not your time and he’s saying about
and not your time and he’s saying about the ultra Dian cycles where you worked
the ultra Dian cycles where you worked
the ultra Dian cycles where you worked 90 minutes and you rest 30 or 20 minutes
90 minutes and you rest 30 or 20 minutes
90 minutes and you rest 30 or 20 minutes and you repeat that so actually from
and you repeat that so actually from
and you repeat that so actually from this eight-hour working day you have
this eight-hour working day you have
this eight-hour working day you have only six and I don’t believe that it
only six and I don’t believe that it
only six and I don’t believe that it will change without the rise of the
will change without the rise of the
will change without the rise of the powerful AI and the technology we cannot
powerful AI and the technology we cannot
powerful AI and the technology we cannot change that simply because saying of
change that simply because saying of
change that simply because saying of that and maybe I’m saying that because
that and maybe I’m saying that because
that and maybe I’m saying that because I’m a millennial and you know what they
I’m a millennial and you know what they
I’m a millennial and you know what they say about millennia we are entitled we
say about millennia we are entitled we
say about millennia we are entitled we are lazy we are not listening to our
are lazy we are not listening to our
are lazy we are not listening to our bosses and we are hard to manage but
bosses and we are hard to manage but
bosses and we are hard to manage but what they do say about us which is
what they do say about us which is
what they do say about us which is positive is that we are looking for
positive is that we are looking for
positive is that we are looking for purpose and this purpose
purpose and this purpose
purpose and this purpose is what drives us we are looking for
is what drives us we are looking for
is what drives us we are looking for this Hawaiian accompanies so my story
this Hawaiian accompanies so my story
this Hawaiian accompanies so my story started with this why and I millennial
started with this why and I millennial
started with this why and I millennial was looking for a purpose and I had a
was looking for a purpose and I had a
was looking for a purpose and I had a great manager when I started in IBM and
great manager when I started in IBM and
great manager when I started in IBM and she showed me something called gulps
she showed me something called gulps
she showed me something called gulps trans finder which is a report that you
trans finder which is a report that you
trans finder which is a report that you are doing based on your questions and it
are doing based on your questions and it
are doing based on your questions and it shows you the five top strengths that
shows you the five top strengths that
shows you the five top strengths that you should focus 80% of your time and
you should focus 80% of your time and
you should focus 80% of your time and based on that my top three strands were
based on that my top three strands were
based on that my top three strands were activator arranger and achiever and you
activator arranger and achiever and you
activator arranger and achiever and you know when you’re looking for a
know when you’re looking for a
know when you’re looking for a consultant you are not looking for a
consultant you are not looking for a
consultant you are not looking for a ranger or achiever or activator you’re
ranger or achiever or activator you’re
ranger or achiever or activator you’re looking for achiever and I was like that
looking for achiever and I was like that
looking for achiever and I was like that I was achieved at that time but myself
I was achieved at that time but myself
I was achieved at that time but myself was focusing on this top three strengths
was focusing on this top three strengths
was focusing on this top three strengths so you know I found what song and then I
so you know I found what song and then I
so you know I found what song and then I was able to arrange activate and achieve
was able to arrange activate and achieve
was able to arrange activate and achieve but my positive side my technology
but my positive side my technology
but my positive side my technology optimistic was very sad about it so
optimistic was very sad about it so
optimistic was very sad about it so that’s why I change this second time and
that’s why I change this second time and
that’s why I change this second time and now the place where I am so Medical is a
now the place where I am so Medical is a
now the place where I am so Medical is a perfect place to be it’s a perfect place
perfect place to be it’s a perfect place
perfect place to be it’s a perfect place for my passion because as a co-leader of
for my passion because as a co-leader of
for my passion because as a co-leader of Qin lab there is no better place for the
Qin lab there is no better place for the
Qin lab there is no better place for the technology optimistic guy like myself
technology optimistic guy like myself
technology optimistic guy like myself which is focusing on achieving arranging
which is focusing on achieving arranging
which is focusing on achieving arranging and activating so do I think that we all
and activating so do I think that we all
and activating so do I think that we all can be like that yes and if you look on
can be like that yes and if you look on
can be like that yes and if you look on the garden report from this year about
the garden report from this year about
the garden report from this year about the work and engagement is horrifying
the work and engagement is horrifying
the work and engagement is horrifying because only 30% to 35% of people is
because only 30% to 35% of people is
because only 30% to 35% of people is engaged at their work and it not depend
engaged at their work and it not depend
engaged at their work and it not depend if they’re whether they are Millennials
if they’re whether they are Millennials
if they’re whether they are Millennials the the X Generation or Y generation we
the the X Generation or Y generation we
the the X Generation or Y generation we all not engage of their work so can we
all not engage of their work so can we
all not engage of their work so can we change that I believe yes and I believe
change that I believe yes and I believe
change that I believe yes and I believe that that the usage of the powerful
that that the usage of the powerful
that that the usage of the powerful technology can support us in that and if
technology can support us in that and if
technology can support us in that and if you think yeah but probably part of the
you think yeah but probably part of the
you think yeah but probably part of the people don’t want to work it’s not their
people don’t want to work it’s not their
people don’t want to work it’s not their passion they prefer to you know fishing
passion they prefer to you know fishing
passion they prefer to you know fishing or hunting yes so the best idea yet to
or hunting yes so the best idea yet to
or hunting yes so the best idea yet to have is a basic income so the idea of
have is a basic income so the idea of
have is a basic income so the idea of basic is really simple you are living in
basic is really simple you are living in
basic is really simple you are living in a country you are getting paid
a country you are getting paid
a country you are getting paid for living in that country simple as
for living in that country simple as
for living in that country simple as that and yes Switzerland rejected it
that and yes Switzerland rejected it
that and yes Switzerland rejected it lately but the Finland the South Africa
lately but the Finland the South Africa
lately but the Finland the South Africa and the Canada is running the programs
and the Canada is running the programs
and the Canada is running the programs around it and I believe it will be
around it and I believe it will be
around it and I believe it will be happening more and more
happening more and more
happening more and more why because with that so with the basic
why because with that so with the basic
why because with that so with the basic income with the change in the mindset of
income with the change in the mindset of
income with the change in the mindset of the young population with the
the young population with the
the young population with the Millennials and the white generation and
Millennials and the white generation and
Millennials and the white generation and with the powerful technology we can
with the powerful technology we can
with the powerful technology we can change the American Dream this old not
change the American Dream this old not
change the American Dream this old not working for 40 years American dream of
working for 40 years American dream of
working for 40 years American dream of owning a car owning a apartment and a
owning a car owning a apartment and a
owning a car owning a apartment and a great paid job and instead of that we
great paid job and instead of that we
great paid job and instead of that we can create the new American Dream which
can create the new American Dream which
can create the new American Dream which is more about having a passionate life
is more about having a passionate life
is more about having a passionate life and fun so whether I think we should
and fun so whether I think we should
and fun so whether I think we should fear I think it’s an opportunity for
fear I think it’s an opportunity for
fear I think it’s an opportunity for better work instead of a fear and based
better work instead of a fear and based
better work instead of a fear and based on that I think this is opportunity and
on that I think this is opportunity and
on that I think this is opportunity and if I want to have something that you
if I want to have something that you
if I want to have something that you will leave after the dead I want to say
will leave after the dead I want to say
will leave after the dead I want to say to you should you be afraid of a jobless
to you should you be afraid of a jobless
to you should you be afraid of a jobless future I would say don’t be afraid
future I would say don’t be afraid
future I would say don’t be afraid thank you very much
”
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