throughout our evolution as
species humans we have
used a lot of tools
all of us use tools
day by day and this tool we have been
allowed to be more tastes healthier
the car increase our economy and
our productivity also and of
there’s even a theory that says that
the societies of the hunters and
gatherers took them pictures in 224
thousand years in doubling its economy by
the tools that I had and the same
theory says that to societies
agricultural takes them now only nothing
plus
909 years double its economy and that to
us as an industrial society with
this technological deployment that we have
now I should take not only 6.3 years
double our economy
the truth is that the foot is fulfilled or not
of the letter
that theory the truth is that you know today
that artificial intelligence has the
potential to be that new tool
that society will now allow
double the economy
biweekly
they imagine that radical duplicate the
wealth every two weeks
imagine you are paid double
salary every 15 days monitor
The truth is that they are very radical but
also 6.3 years would be left over
completely crazy to a hunter
collector and what happens to us as beings
human is that when we think of
artificial intelligence
we think about physical beings and up
emotionally similar to us
then we love
we’ll see
in artificial intelligence and that seems
ok we love seeing the new robots that
they left in Japan and in Germany and that
they seem more and more like us but
The truth is that intelligence
artificial is a total intelligence and
absolutely different from us what
we call it intelligence because it
we have another way of calling but not
it looks like us and has even
completely new senses and then
we have a lot of terms
now new ones that are called big data and
glenni machin and plenilunio computation
cognitive
they are all different flavors of the
artificial intelligence and if we have
some expressions of intelligence
artificial some cognitive systems
for example as watson that we have
heard that they do some mimicry of
human senses then watson can
read a text and understand and can also
talk to us and we think that
is speaking in natural language and
can see images and recognize them and
You can even tell if we are happy
we are sad
what happens is that the potential that
has watson is not to make a
mime of human sense
that’s not the potential that the
potential is that it can read 800 million
of pages in a second and that’s it
a new meaning that is not the same
felt bad law and when one understood
this should not surprise you to know
so that for example in the bags
from the United States did you know that
more than 75 percent of the
transactions that are made to and
they are making robots
today we are going to see is to say the robots
are defining how much in our
companies in competition between them and not
they are true mechanical robots those that
we see in the movies are not pieces of
software that are running in a
server
on a computer that happens because in
other areas such as match in learning
we have understood that human beings
but it’s difficult to analyze multiple
variables
then let’s see all from say
that you high school x full we handle
perfect now when we put zeta
we do not understand well are three variables
correlated and that that drought zetas
it goes very well in time and everyone
we understand but when our brain
we put 789 thousand 200 million
variables in a dimensional universe not
we can process and we can not afford
the load but then that’s where
enter the artificial intelligence machine
gun and what you see there is not
an image taken from google is not a
error on the screen is a neural network
real is an artificial neural network that
is analyzing 40 variables for 800
individuals measured every day to
all hours and determined the
behavior of those individuals in the
future in a subject that has to do with
climate change and not in China here in
costa rica in guanacaste a theme of
climate change
that’s where we can apply machine
gun and that’s where one can really
understand that these are not robots of
flesh and bone or robots that look like
us but they do have the
potential to double the economy each
two weeks really then one gets
ask why it is so wonderful
because there is so much sensationalist news
around artificial intelligence
and we think we’re in the middle
where humanity and like the movie
true terminator then the machines
they are going to move and everything else is
true and the only certain thing is that according to
the world economic forum
[Music]
there are a series of jobs that are going to be
displaced by machines by
computers by software especially
administrative tasks support tasks
or even some sales tasks and that
in the short term
what happens is that if we think about it well
humans always has us
difficult to understand the
new paradigm not that those tasks
new and those professions we see that
we will need in the future with your
skills but to show a button
when we were in the revolution
industrial
we invented the steam engine and the
looms and all the others that you
you can imagine and if they moved
many jobs that previously did work
manuals by machines basically what
what happens is that gradually then
we started needing mechanics
technical electricians engineers
then we have to differentiate ourselves because
there was a lot of abundance we took care of
Designers selling distributors
etc
we would never have thought of a
designer in a pre-industrial paradigm
something so basic today
in the same way we do not know which ones
are those new professions that we are going to
need in the future to face
this technology and use this
tool but we do know two things
are two things that is to this generation
which is going to play define those
careers in their professions and that they do not
we will have like the last time 20
years to do it let’s have yes
maybe years and if not months
re-release us as professionals but
the truth is that rather the future
It took a long time to arrive, we do not think it
the future did not take long to reach the
first time many of us
we had a one contact with a machine
cognitive and we saw a cognitive machine
and that I also had match in learning
it was 51 years ago of many children
Highlights already saw our superhero
favorite batman talking about a
computer or they do not go bad I talked to the
computer and us in 2017
we still write to him and he also
he said where is the joker and the
common
now it calculates a lot of variables and
it gave the location of the area in a
perforated card by the way that only
they walk with their intelligence can understand
but aman knew that neither with the
intelligence that has to niger that
the bank could do the calculations that
makes the computer
these visionaries raised this
51 years ago in a way that
we have taken much more well in
ask how we use this
technology to solve the big
problems that we have as a society
today I imagine that in 2030
things like cancer diagnosis
something that causes so much pain in our
families is something that is diagnosed
almost in real time if we have the
ability to send information to a
virtual doctor and that all without
distinction of social class we have
access to a virtual doctor who is
we can consult an exam and what
tell once
the result without waiting for a year for
Quote
we could better predict cancer
but also if that robot can understand
all our complete DNA and enter the one of
our parents and our grandparents and be
more knows everything that we have consumed in
the last 30 years and not just the
morning
then many of us could enjoy
better life pattern and we could
be all of us much longer
in this world but also with a lot
more quality of life
there is an old history of the company
target in the united states
target is a supermarket a sale tale
that implements an algorithm that
sent a greeting card to
a girl for being pregnant
the father came out furious demanding attack
and had to take the demand as two
months later when he realized that
I was effectively pregnant
will understand the frustration that one
feels like a human being to understand that
our society has reached the point in
that can predict a pregnancy for a
change with big data with a change in the
a girl’s consumption pattern but not
we can predict the waste of the
people
how is it possible that we can not say it
supermarkets people what
He is leading in concordance card
consumption does not correspond to your pattern of
consumption and that it’s going to waste that
does not correspond to its caloric content
that does not correspond to what he can
consume and that will waste that
even if the woman is pregnant
why do not we say do not wear tobacco
Alcohol arrives because she is pregnant
that’s where we want to be applying
artificial intelligence is really
generation
he is also going to face a great
challenge
all of us are all going to touch that
this challenge a test and we’re going to
face to see if they are very different or
not from the middle ages when they burned in
the bonfire what they did not understand
today we have very subtle ways of burning
in the bonfire
today they are called procedures call
permit regulations
all those things are going to inhibit or not the
entry of autonomous driving and
ourselves we will also see if
we sit in the office they call him is
better than this one come let’s see if we
let’s try as a species we will see
if we have really evolved too
I imagine that thanks to this
technology
literally in 2030 thousands of
entrepreneurs have started against this
global fever we carry change
climatic and have literally achieved
reverse or curb the effects of this
climate change
a few months ago I was with a friend
that we are neither in Japan nor in
germany nor in silicon valley
we go here in costa rica and we were
talking about what in the future
logical and natural expectable will do
that we all have solar panels and a
battery and we will try to handle the
energy in that battery and that’s going to be
a very nice utopia but in a moment
we also think that that was
fundamentally bad but very very bad and
It was to create a very selfish approach that is
if I have to me what do I care if the
neighbor has and then we dream that
there should also be an algorithm
artificial intelligence living in
our houses monitoring how much
we consume and how much are we going to consume and
that the excess makes it available to
a kind of social network algorithms
where they share energy from the
houses that have more and those that less
are the regions most
they have and those who have least
in the end that football should shine
same for everyone not
the good news is that my friend
then it went to germany and it’s now
yes working with three ventures
fulfilling his dream and are being
financed by the giant multinational
of the energy sector
so it does not matter the profession that
be of each one of you if you should or
we could not stop thinking about how
let’s apply artificial intelligence
to change the big problems of the
humanity because in the end we have to
understand that perhaps already the greatest
artificial intelligence expression that
we have already built it for those who
they are looking for artificial consciousness
maybe we do not have anymore maybe it’s a
bigger and giant brain of which
we add part but as
neurons like the neurons of our
brain does not understand what he is thinking
the global brain
we do not understand what is
thinking this global brain but yes
we are connected to him all of you
they have their cell phones their computers and
your social networks and if it’s the brain
global that we are part is thinking of
how to solve the problems of the
humanity as by solving the
problems of climate change make a
more egalitarian world more in peace for
all then well worth
invest a lot but much more in
artificial intelligence and if so
all of us will be remembered as
the generation that educated the
artificial intelligence on the road
Right
thank you very much
[Applause]
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