[Applause]
they scare us
they steal our work we are
clueless they are the algorithms
they are the machines they
learn understand and we
surprise us it’s humans
member of the collective of our species
so as worthily
I greet you fraternally whose
green algae and I live in a country in
Spain where we have known recently
unprecedented riots of a
unprecedented violence of the riots
in reaction to a society we have
constructed in which the man is going
having to share his present and future
his talent and his ego with machines
with algorithms with
artificial intelligence and with
connected objects
the question that concerns me to me the
question I’m asking ourselves today
why are we scared
why react so vehemently
against intellectual creations
against objects that have the potential
to solve the most difficult problems
the thorniest today and tomorrow
so as this is a question
hot but delicious I call on
this plateau
the ambassador of good taste and goodness
meaning
the high priestess of the petits fours
we call ginette mathiot
ginette mathiot not know if you
know but it’s a lady who has
write a book called I know
to cook to tell you a little secret
when I left home at 18 my
Mom gave me a copy of the
relic and she told me good wind and good
taste
I took good note but ginette
mathiot ginette for friends a secret
ginette all his life to create
test and publish hundreds
of algae algorithms at the corner
algorithms indeed this barbaric word we
comes from the name of a Persian mathematician
al khwarizmi he means everything
simply a neat method
ambiguous to solve problems or a
problem family wow that’s cool
and that’s cool it’s really cool and
you know why
because we humans in the morning
until the evening of childhood at the
old age
we have to exist to live and
survive solve problems one can
solve them by singing while having fun
by crying we have to solve it and
last problem that we do not manage to
solve send us in the cashier by
therefore I invite you
fraternally once again to
cultivate your talent to solve
problems as you will understand
I love the algorithms I love
algorithms because they are like this
colorful living object surprising noisy
diabolical and in any case
exciting but the energies
it’s that his algorithms allow
in my work in my relationships with
others to understand the world in
which I live to interact with
others and create beautiful things of
relationships of discoveries
corporate project publications
a thousand things that excites me
so today I would like to enjoy
of your presence to make a small
journey over algorithms for
discover all together who we are
where are we going and what will be done
tomorrow
not bad but hey we’ll try the
first thing that is interesting with
the algorithms is that they are
they everywhere around us we
accompanied
it guides us emmerdent times a
for example to build houses
we use the Pythagorean theorem of
pythagoras a very simple algorithm for
browse the internet pagerank
the google algorithm to find
your half on kindle another
algorithm and finally to create the
trust the famous block chain and
ginette mathiot we wrote full
others you know now
the second thing that is fascinating
with the algorithms is that in the country
biologists these are the
mathematicians and physicists in
speak the best
I spoke to you apajh ynet de léonard
leonhard euler a great mathematician
for which I have a huge admiration
he motivates he surprises me he interests me
despite being born in the eighteenth century
he did wonderful things is
for me one of the simplest things
and the most beautiful it is is
give a definition of the quantity the
to say a quantity is a basket with
Beans
it’s eggs in a box him he
take the opposite all that she says
a quantity is something that
can increase or decrease
that is, it’s a problem in
which we are engaged in maintaining some
thing in a value range and
you will all recognize a home under our
eyes the east the concept of homeostasis
to sleep strasbourg in france
I now pass an erwin physicist
schrödinger very well known for his equation
wave
less known for his three-woman
because he made the most
outrageous half of the 20th century
his couple was a problem at three
bodies governed by the relationship
uncertainty
I congratulate him 1 erwin schrödinger
in addition to his equation writing a book
what is called what is life
you recommend it on a book
prodigious written in the 40s with
a little bit of a shift for
the moment but these ideas are deep
and he defines life as two things
a code to store information
is a set of mechanisms that
fight against the second
principle of thermodynamics the
disorder
so in fact life is locally the
order creation at least two
structures a very beautiful idea like the
king is not my cousin
I allow myself today to propose my
own version
before proposing a version I
forgot this little is positive is very
interesting
not only the algorithms we
surround in objects in the life of
every day so also in the
nature when you send a message to
internet to your darling there would have been the
message does not travel from one package
it is cut into small pieces
sent by different paths your
darling and where he gets the message the
recompose and be moved by your kind
thought or not 1 what’s going on
in there we call this protocol
protocol it’s a whole
ip tcp algorithms
you have all heard by the addresses
ip and well tcpc one part ipc the other
part tcpc the part that gives routing
who is saying here and traffic jams
will not send any more information here it’s
free returned all the sp1 pack and well
ants when they leave the
anthill to look for their
food
she uses pardon an algorithm that
is identical to tcp ie
that they go out on their own by
different paths
the first who discover in the
food stops do not eat it
especially not go back trace
a simic path and told his colleagues
come by there there is yum yum and so
in an internet channel of them because
we have internet
this wonderful discovery we
shows that algorithms are at the heart
alive in the heart of who we are
two where we come from and 2 where we
let’s go and why is it so
probably because life is the
way to solve the same defects
it invites stationary and so by
therefore the algorithms we
let’s create where August’s life evolved so
convergent towards the resolution of
problems the mathematician henri
punched with this gorgeous phrase he
said mathematics that’s the
way of saying the same thing to give
forgive the same name to things
different
that’s exactly it so here’s a
algorithm equals problem
computational based on this
experience as I say them I’m
allow after the air and I rattle inger
with all the modesty that
characterizes to propose my own
definition of the living for me and live
a thing that has three characteristics
the first a capacity for contacts and
to talk and to interact with others
the second an ability as we saw
to solve problems
computational what does it want
say computational that means we
can perform calculations of operations
of logic things like that and
finally the third point very
important is the ability to
replicate to evolve so change and
especially of self update this is a
ugly word but that all windows
attention i need minutes for
updated motorcycles does not interrupt it
it’s very important and what I like
my definition
if you allow me a little pride of me
but that’s how it is
characterize living beings beings
not alive like viruses but also
machines
when you bring your car to
garage
your mechanic branch on the internet
updates its software unloads
tire spells goes down from consumption
you make an assessment your car is at
change look for funding or your
car is very well continue with the
mark and sedrun but so that brings me
an interesting concept
these concepts of machin us against the
machines because in fact we are only
a bit like connected objects
from time to time we exchange
buddies of the girlfriends we speak we evolve
and we establish a self- actualization
when you study like you or when
moment of his life we want to do something else
thing
relearn to question
erased the past do clean slate etc.
etc and here comes in my opinion one of the three
problems we have with the
machinery
elise spoke earlier about the
maslow pyramid which actually is a
theorist a psychologist who studied
human needs and all at the top of
the pyramid is the car
actualization knew that until now
we lived very well because the
machines was silly machines we
had created to get rid of that
we did not want to do today
they make us bed but in
wallet and so that’s painful
that I think that’s one of the reasons
main ones for which we have a
problem with the machines we them
the second problem that I see
it is that today we are us
have a challenge in the 40s
the chess player to ask him
but sir you are champion of
chess world you are really a
prodigy and him with his whiskey cigar
but how are you doing what is
your thing how many moves are
you can predict to the advanced
he had this answer that I find
delicious it said me I solve I
just plan a move but
it’s always good and so we’re
gone from that delicious arrogance one
will tell biarritz by aof
five-time world champion or several
world champion a prodigy of
aggressive creative combative chess a
star an impressive person too
not so good by his psychology
his game by his name his knowledge
encyclopedic chess that by that a
capabilities in the media and well garry
kasparov in 82 to play against a
computer called double where you
know all he picked up a
derelict he went home
tail between the legs
it’s ok but it was already a
change there is little smooth idol that is
a living figure of hugo legault is
a game that is maybe a lot more
complex that the chess at the level
combinatorial and so people thought
that it was impossible at the level of the
combinatory and at the level of the hall
of mathematics is there behind of
beat a human champion to go
simply because it’s not
only beyond the mathematical calculation
he has intuition
there’s got a feeling there’s one
from experience there is risk and everything
we thought the man was doing it
better than everyone
result the races 4 for the machine 1
for sir so dole it hurts it
hurts because not only we
we created these games we created these
machines and coming in with our
reputation our culture our beliefs
as stéphane said we take
full mouth
alas for me this is the second point
which makes us allergic to
machines an ego problem so we have
talked a lotto use the machines
do as well as we lego and then
also a I think there is a real
competition problem
unfair competition so far we
entrusted to us our creativity and
our humanity to our fraternity for
live to create to interact for
to be happy and then we saw that in
tasks as stupid as driving a
car is the machines we
exceeds when
tesla to market his first
automatic car electric the
humans who have come in it’s done
in their pants because the car
that we said so well and so much
quickly that humans were not
accustomed what does that mean all
that means that machines can
discover better solutions
than the one we have found so far
and that’s scary so here’s what
what we have to do collaborate as the
say and read enter into competition
as do some given the shots
tattoo against taxis it’s a
solution behave like an i’m a
animal but actually the taxi driver
which gives a tatane to the drivers of
hubert or kabyles fault in spain
it’s a victim and it’s a victim
who behaves like an aggressor and
for me it’s really not the right one
solution
I believe in fraternity I believe
in person and I believe that the
problem does not come from the algorithm
comes from our use
when ordering a pizza 1
bring home while in the process of
watch football in the sofa
fout that the pizza delivery man wins 1
Euro power is 17 km by bike we in
slap
it’s not a problem I think we
is not used to today
to learn that things change that
revolutions do not happen without
cut off heads that change makes
badly we are not used to putting in
cause our comfort is not used to
change things in fact what happens
to taxi drivers who gives a shot
of tatane in the car is that we
woke him up during nap
and while they were sleeping someone
in the United States who did not know him or
from eve nor adam had the idea of a
algorithm and a business model that
will completely jeopardize his
business that will jeopardize his
comfort her way she
in other words he stopped thinking
and I’m not happy about it but I think
sincerely that it is inevitable
so instead of being a victim let’s be
think let’s organize we react
react creatively
fraternal and constructive then I
would like to finish by wishing you
all a future full of machines
friendly and many other actions
fraternal thank you very much
[Applause]
they scare us
they steal our work we are
clueless they are the algorithms
they are the machines they
learn understand and we
surprise us it’s humans
member of the collective of our species
so as worthily
I greet you fraternally whose
green algae and I live in a country in
Spain where we have known recently
unprecedented riots of a
unprecedented violence of the riots
in reaction to a society we have
constructed in which the man is going
having to share his present and future
his talent and his ego with machines
with algorithms with
artificial intelligence and with
connected objects
the question that concerns me to me the
question I’m asking ourselves today
why are we scared
why react so vehemently
against intellectual creations
against objects that have the potential
to solve the most difficult problems
the thorniest today and tomorrow
so as this is a question
hot but delicious I call on
this plateau
the ambassador of good taste and goodness
meaning
the high priestess of the petits fours
we call ginette mathiot
ginette mathiot not know if you
know but it’s a lady who has
write a book called I know
to cook to tell you a little secret
when I left home at 18 my
Mom gave me a copy of the
relic and she told me good wind and good
taste
I took good note but ginette
mathiot ginette for friends a secret
ginette all his life to create
test and publish hundreds
of algae algorithms at the corner
algorithms indeed this barbaric word we
comes from the name of a Persian mathematician
al khwarizmi he means everything
simply a neat method
ambiguous to solve problems or a
problem family wow that’s cool
and that’s cool it’s really cool and
you know why
because we humans in the morning
until the evening of childhood at the
old age
we have to exist to live and
survive solve problems one can
solve them by singing while having fun
by crying we have to solve it and
last problem that we do not manage to
solve send us in the cashier by
therefore I invite you
fraternally once again to
cultivate your talent to solve
problems as you will understand
I love the algorithms I love
algorithms because they are like this
colorful living object surprising noisy
diabolical and in any case
exciting but the energies
it’s that his algorithms allow
in my work in my relationships with
others to understand the world in
which I live to interact with
others and create beautiful things of
relationships of discoveries
corporate project publications
a thousand things that excites me
so today I would like to enjoy
of your presence to make a small
journey over algorithms for
discover all together who we are
where are we going and what will be done
tomorrow
not bad but hey we’ll try the
first thing that is interesting with
the algorithms is that they are
they everywhere around us we
accompanied
it guides us emmerdent times a
for example to build houses
we use the Pythagorean theorem of
pythagoras a very simple algorithm for
browse the internet pagerank
the google algorithm to find
your half on kindle another
algorithm and finally to create the
trust the famous block chain and
ginette mathiot we wrote full
others you know now
the second thing that is fascinating
with the algorithms is that in the country
biologists these are the
mathematicians and physicists in
speak the best
I spoke to you apajh ynet de léonard
leonhard euler a great mathematician
for which I have a huge admiration
he motivates he surprises me he interests me
despite being born in the eighteenth century
he did wonderful things is
for me one of the simplest things
and the most beautiful it is is
give a definition of the quantity the
to say a quantity is a basket with
Beans
it’s eggs in a box him he
take the opposite all that she says
a quantity is something that
can increase or decrease
that is, it’s a problem in
which we are engaged in maintaining some
thing in a value range and
you will all recognize a home under our
eyes the east the concept of homeostasis
to sleep strasbourg in france
I now pass an erwin physicist
schrödinger very well known for his equation
wave
less known for his three-woman
because he made the most
outrageous half of the 20th century
his couple was a problem at three
bodies governed by the relationship
uncertainty
I congratulate him 1 erwin schrödinger
in addition to his equation writing a book
what is called what is life
you recommend it on a book
prodigious written in the 40s with
a little bit of a shift for
the moment but these ideas are deep
and he defines life as two things
a code to store information
is a set of mechanisms that
fight against the second
principle of thermodynamics the
disorder
so in fact life is locally the
order creation at least two
structures a very beautiful idea like the
king is not my cousin
I allow myself today to propose my
own version
before proposing a version I
forgot this little is positive is very
interesting
not only the algorithms we
surround in objects in the life of
every day so also in the
nature when you send a message to
internet to your darling there would have been the
message does not travel from one package
it is cut into small pieces
sent by different paths your
darling and where he gets the message the
recompose and be moved by your kind
thought or not 1 what’s going on
in there we call this protocol
protocol it’s a whole
ip tcp algorithms
you have all heard by the addresses
ip and well tcpc one part ipc the other
part tcpc the part that gives routing
who is saying here and traffic jams
will not send any more information here it’s
free returned all the sp1 pack and well
ants when they leave the
anthill to look for their
food
she uses pardon an algorithm that
is identical to tcp ie
that they go out on their own by
different paths
the first who discover in the
food stops do not eat it
especially not go back trace
a simic path and told his colleagues
come by there there is yum yum and so
in an internet channel of them because
we have internet
this wonderful discovery we
shows that algorithms are at the heart
alive in the heart of who we are
two where we come from and 2 where we
let’s go and why is it so
probably because life is the
way to solve the same defects
it invites stationary and so by
therefore the algorithms we
let’s create where August’s life evolved so
convergent towards the resolution of
problems the mathematician henri
punched with this gorgeous phrase he
said mathematics that’s the
way of saying the same thing to give
forgive the same name to things
different
that’s exactly it so here’s a
algorithm equals problem
computational based on this
experience as I say them I’m
allow after the air and I rattle inger
with all the modesty that
characterizes to propose my own
definition of the living for me and live
a thing that has three characteristics
the first a capacity for contacts and
to talk and to interact with others
the second an ability as we saw
to solve problems
computational what does it want
say computational that means we
can perform calculations of operations
of logic things like that and
finally the third point very
important is the ability to
replicate to evolve so change and
especially of self update this is a
ugly word but that all windows
attention i need minutes for
updated motorcycles does not interrupt it
it’s very important and what I like
my definition
if you allow me a little pride of me
but that’s how it is
characterize living beings beings
not alive like viruses but also
machines
when you bring your car to
garage
your mechanic branch on the internet
updates its software unloads
tire spells goes down from consumption
you make an assessment your car is at
change look for funding or your
car is very well continue with the
mark and sedrun but so that brings me
an interesting concept
these concepts of machin us against the
machines because in fact we are only
a bit like connected objects
from time to time we exchange
buddies of the girlfriends we speak we evolve
and we establish a self- actualization
when you study like you or when
moment of his life we want to do something else
thing
relearn to question
erased the past do clean slate etc.
etc and here comes in my opinion one of the three
problems we have with the
machinery
elise spoke earlier about the
maslow pyramid which actually is a
theorist a psychologist who studied
human needs and all at the top of
the pyramid is the car
actualization knew that until now
we lived very well because the
machines was silly machines we
had created to get rid of that
we did not want to do today
they make us bed but in
wallet and so that’s painful
that I think that’s one of the reasons
main ones for which we have a
problem with the machines we them
the second problem that I see
it is that today we are us
have a challenge in the 40s
the chess player to ask him
but sir you are champion of
chess world you are really a
prodigy and him with his whiskey cigar
but how are you doing what is
your thing how many moves are
you can predict to the advanced
he had this answer that I find
delicious it said me I solve I
just plan a move but
it’s always good and so we’re
gone from that delicious arrogance one
will tell biarritz by aof
five-time world champion or several
world champion a prodigy of
aggressive creative combative chess a
star an impressive person too
not so good by his psychology
his game by his name his knowledge
encyclopedic chess that by that a
capabilities in the media and well garry
kasparov in 82 to play against a
computer called double where you
know all he picked up a
derelict he went home
tail between the legs
it’s ok but it was already a
change there is little smooth idol that is
a living figure of hugo legault is
a game that is maybe a lot more
complex that the chess at the level
combinatorial and so people thought
that it was impossible at the level of the
combinatory and at the level of the hall
of mathematics is there behind of
beat a human champion to go
simply because it’s not
only beyond the mathematical calculation
he has intuition
there’s got a feeling there’s one
from experience there is risk and everything
we thought the man was doing it
better than everyone
result the races 4 for the machine 1
for sir so dole it hurts it
hurts because not only we
we created these games we created these
machines and coming in with our
reputation our culture our beliefs
as stéphane said we take
full mouth
alas for me this is the second point
which makes us allergic to
machines an ego problem so we have
talked a lotto use the machines
do as well as we lego and then
also a I think there is a real
competition problem
unfair competition so far we
entrusted to us our creativity and
our humanity to our fraternity for
live to create to interact for
to be happy and then we saw that in
tasks as stupid as driving a
car is the machines we
exceeds when
tesla to market his first
automatic car electric the
humans who have come in it’s done
in their pants because the car
that we said so well and so much
quickly that humans were not
accustomed what does that mean all
that means that machines can
discover better solutions
than the one we have found so far
and that’s scary so here’s what
what we have to do collaborate as the
say and read enter into competition
as do some given the shots
tattoo against taxis it’s a
solution behave like an i’m a
animal but actually the taxi driver
which gives a tatane to the drivers of
hubert or kabyles fault in spain
it’s a victim and it’s a victim
who behaves like an aggressor and
for me it’s really not the right one
solution
I believe in fraternity I believe
in person and I believe that the
problem does not come from the algorithm
comes from our use
when ordering a pizza 1
bring home while in the process of
watch football in the sofa
fout that the pizza delivery man wins 1
Euro power is 17 km by bike we in
slap
it’s not a problem I think we
is not used to today
to learn that things change that
revolutions do not happen without
cut off heads that change makes
badly we are not used to putting in
cause our comfort is not used to
change things in fact what happens
to taxi drivers who gives a shot
of tatane in the car is that we
woke him up during nap
and while they were sleeping someone
in the United States who did not know him or
from eve nor adam had the idea of a
algorithm and a business model that
will completely jeopardize his
business that will jeopardize his
comfort her way she
in other words he stopped thinking
and I’m not happy about it but I think
sincerely that it is inevitable
so instead of being a victim let’s be
think let’s organize we react
react creatively
fraternal and constructive then I
would like to finish by wishing you
all a future full of machines
friendly and many other actions
fraternal thank you very much
[Applause]
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