I know magazine Babcock and Riddick’s eg you
you
you [Applause]
[Applause]
[Applause] I was born in Latvia that was part of
I was born in Latvia that was part of
I was born in Latvia that was part of Soviet Union until my parents my sister
Soviet Union until my parents my sister
Soviet Union until my parents my sister and I moved to Israel at age of eleven
and I moved to Israel at age of eleven
and I moved to Israel at age of eleven well present the absorption center with
well present the absorption center with
well present the absorption center with many immigrants from all around the
many immigrants from all around the
many immigrants from all around the world it was sort of a Tower of Babel
world it was sort of a Tower of Babel
world it was sort of a Tower of Babel with people that speak many languages
with people that speak many languages
with people that speak many languages different cultures and then we moved to
different cultures and then we moved to
different cultures and then we moved to a less reputable neighborhood in
a less reputable neighborhood in
a less reputable neighborhood in Jerusalem where the tone was said by
Jerusalem where the tone was said by
Jerusalem where the tone was said by kind of people that today my you might
kind of people that today my you might
kind of people that today my you might call criminals now try to picture
call criminals now try to picture
call criminals now try to picture yourself this well-educated redhead geek
yourself this well-educated redhead geek
yourself this well-educated redhead geek a result of typical Russian education
a result of typical Russian education
a result of typical Russian education meeting the kids of local criminal
meeting the kids of local criminal
meeting the kids of local criminal families now I knew that I would never
families now I knew that I would never
families now I knew that I would never want to become a bully but also knew
want to become a bully but also knew
want to become a bully but also knew that I have to find a way to feed among
that I have to find a way to feed among
that I have to find a way to feed among those kids so I decided to leverage my
those kids so I decided to leverage my
those kids so I decided to leverage my hobbies and talents which I knew that
hobbies and talents which I knew that
hobbies and talents which I knew that they will appreciate mainly innovation
they will appreciate mainly innovation
they will appreciate mainly innovation computer hacking and especially
computer hacking and especially
computer hacking and especially lock-picking and I have to say that
lock-picking and I have to say that
lock-picking and I have to say that those same hobbies indeed kept me out of
those same hobbies indeed kept me out of
those same hobbies indeed kept me out of trouble it’s also helped me to become
trouble it’s also helped me to become
trouble it’s also helped me to become the type of a computer geek that today
the type of a computer geek that today
the type of a computer geek that today will be grabbed by two hands by the
will be grabbed by two hands by the
will be grabbed by two hands by the famous 8200 intelligence unit but back
famous 8200 intelligence unit but back
famous 8200 intelligence unit but back then because of my ability to see
then because of my ability to see
then because of my ability to see complex technology systems and
complex technology systems and
complex technology systems and understand the big technology picture I
understand the big technology picture I
understand the big technology picture I was actually recruited by a top elite
was actually recruited by a top elite
was actually recruited by a top elite Air Force intelligence unit but will not
Air Force intelligence unit but will not
Air Force intelligence unit but will not talk about it today let’s just agree
talk about it today let’s just agree
talk about it today let’s just agree that they gave me a lot of skills
that they gave me a lot of skills
that they gave me a lot of skills abilities and experience that keep
abilities and experience that keep
abilities and experience that keep serving me until today now let’s fast
serving me until today now let’s fast
serving me until today now let’s fast forward to the year 2010 picture a
forward to the year 2010 picture a
forward to the year 2010 picture a meeting among the best minds from the US
meeting among the best minds from the US
meeting among the best minds from the US and Israeli top intelligence communities
and Israeli top intelligence communities
and Israeli top intelligence communities the purpose of the meeting how to stop
the purpose of the meeting how to stop
the purpose of the meeting how to stop or at least to slow down the nuclear
or at least to slow down the nuclear
or at least to slow down the nuclear program of Iran by the way the
program of Iran by the way the
program of Iran by the way the assumption that this meeting actually
assumption that this meeting actually
assumption that this meeting actually took place is only based on media
took place is only based on media
took place is only based on media reports okay
reports okay
reports okay but what we do know in retrospect that
but what we do know in retrospect that
but what we do know in retrospect that some invisible hand infected the nuclear
some invisible hand infected the nuclear
some invisible hand infected the nuclear the Siemens centrifuges in nuclear
the Siemens centrifuges in nuclear
the Siemens centrifuges in nuclear facility in Iran with the very
facility in Iran with the very
facility in Iran with the very sophisticated virus whose sole purpose
sophisticated virus whose sole purpose
sophisticated virus whose sole purpose was to change the speed of the
was to change the speed of the
was to change the speed of the centrifuges so they will stop in rich
centrifuges so they will stop in rich
centrifuges so they will stop in rich uranium by the way the entire facility
uranium by the way the entire facility
uranium by the way the entire facility was totally isolated from the Internet
was totally isolated from the Internet
was totally isolated from the Internet of the grid what we call air gapped so
of the grid what we call air gapped so
of the grid what we call air gapped so the virus had to be autonomous and have
the virus had to be autonomous and have
the virus had to be autonomous and have its own intelligence now the results of
its own intelligence now the results of
its own intelligence now the results of the creativeminds in that meeting set a
the creativeminds in that meeting set a
the creativeminds in that meeting set a historical precedent because bad guys
historical precedent because bad guys
historical precedent because bad guys were watching and longing and this
were watching and longing and this
were watching and longing and this episode represents a clear example of
episode represents a clear example of
episode represents a clear example of how technology changed the entire world
how technology changed the entire world
how technology changed the entire world of physical crime and terrorist attacks
of physical crime and terrorist attacks
of physical crime and terrorist attacks few years later this understanding
few years later this understanding
few years later this understanding trigger similar episode an episode that
trigger similar episode an episode that
trigger similar episode an episode that many european banks and all forcement
many european banks and all forcement
many european banks and all forcement agencies would like to forget the
agencies would like to forget the
agencies would like to forget the headlines was explicit cobalt groups
headlines was explicit cobalt groups
headlines was explicit cobalt groups steals hundreds of millions of dollars
steals hundreds of millions of dollars
steals hundreds of millions of dollars from ATMs across Europe what happened is
from ATMs across Europe what happened is
from ATMs across Europe what happened is that using a signal water which was
that using a signal water which was
that using a signal water which was agreed in upon in advance
agreed in upon in advance
agreed in upon in advance ATMs started to eject cash in hands of
ATMs started to eject cash in hands of
ATMs started to eject cash in hands of people that were waiting to receive this
people that were waiting to receive this
people that were waiting to receive this cash now those people knew that that’s
cash now those people knew that that’s
cash now those people knew that that’s what’s gonna happen and still they
what’s gonna happen and still they
what’s gonna happen and still they couldn’t believe when actually see cash
couldn’t believe when actually see cash
couldn’t believe when actually see cash coming out of the ATMs now I’m not not
coming out of the ATMs now I’m not not
coming out of the ATMs now I’m not not talking by the way about people who were
talking by the way about people who were
talking by the way about people who were waiting near the ntam to get the salary
waiting near the ntam to get the salary
waiting near the ntam to get the salary to allow them to survive yet another
to allow them to survive yet another
to allow them to survive yet another week I’m talking about a big criminal
week I’m talking about a big criminal
week I’m talking about a big criminal gang hired by hackers who activated
gang hired by hackers who activated
gang hired by hackers who activated those ATMs from the remote each
those ATMs from the remote each
those ATMs from the remote each collection team had a suitable luggage
collection team had a suitable luggage
collection team had a suitable luggage to collect tens of thousands of euros
to collect tens of thousands of euros
to collect tens of thousands of euros coming from multiple ATMs the collection
coming from multiple ATMs the collection
coming from multiple ATMs the collection process by the way to only a few minutes
process by the way to only a few minutes
process by the way to only a few minutes and then they disappeared some people
and then they disappeared some people
and then they disappeared some people began to call it the new model for
began to call it the new model for
began to call it the new model for organized criminal crime now I know that
organized criminal crime now I know that
organized criminal crime now I know that it sounds like a good three let’s start
it sounds like a good three let’s start
it sounds like a good three let’s start of a good thriller
of a good thriller
of a good thriller so yes many bank seals thought the same
so yes many bank seals thought the same
so yes many bank seals thought the same until into July 2016 their worst
until into July 2016 their worst
until into July 2016 their worst nightmares became true according to
nightmares became true according to
nightmares became true according to Europol report there are over 3 million
Europol report there are over 3 million
Europol report there are over 3 million STM’s in the world which makes this
STM’s in the world which makes this
STM’s in the world which makes this business a very lucrative business for
business a very lucrative business for
business a very lucrative business for criminals whether we have many of you
criminals whether we have many of you
criminals whether we have many of you have seen ATM from the inside so did I
have seen ATM from the inside so did I
have seen ATM from the inside so did I decided to show you one that’s a typical
decided to show you one that’s a typical
decided to show you one that’s a typical ATM and as you can see the money is in
ATM and as you can see the money is in
ATM and as you can see the money is in the safe by the way that’s how each and
the safe by the way that’s how each and
the safe by the way that’s how each and every ATM looks like the money’s in the
every ATM looks like the money’s in the
every ATM looks like the money’s in the safe very difficult to break into this
safe very difficult to break into this
safe very difficult to break into this safe but the computer that is
safe but the computer that is
safe but the computer that is controlling the motor inside the safe is
controlling the motor inside the safe is
controlling the motor inside the safe is actually very easy accessible either
actually very easy accessible either
actually very easy accessible either from remote or by using master key it’s
from remote or by using master key it’s
from remote or by using master key it’s just a simple key and what hackers found
just a simple key and what hackers found
just a simple key and what hackers found that if you hack into the brain of the
that if you hack into the brain of the
that if you hack into the brain of the ATM you can actually ask this brain to
ATM you can actually ask this brain to
ATM you can actually ask this brain to send commands to the motor and each time
send commands to the motor and each time
send commands to the motor and each time you type on your keyboard a bill comes
you type on your keyboard a bill comes
you type on your keyboard a bill comes out of the ATM by the way there is a
out of the ATM by the way there is a
out of the ATM by the way there is a small camera here it’s very easy to shut
small camera here it’s very easy to shut
small camera here it’s very easy to shut the camera down so nobody will know that
the camera down so nobody will know that
the camera down so nobody will know that it ever happened so using the new
it ever happened so using the new
it ever happened so using the new commercialized cyber weaponry you
commercialized cyber weaponry you
commercialized cyber weaponry you actually don’t need to break the ATM
actually don’t need to break the ATM
actually don’t need to break the ATM safe anymore so the world of organized
safe anymore so the world of organized
safe anymore so the world of organized crime has changed forever remember this
crime has changed forever remember this
crime has changed forever remember this Kida was back in jerusalem that time in
Kida was back in jerusalem that time in
Kida was back in jerusalem that time in order to steal money from a bank you
order to steal money from a bank you
order to steal money from a bank you were supposed to source for a weapon
were supposed to source for a weapon
were supposed to source for a weapon break into the branch of a bank
break into the branch of a bank
break into the branch of a bank threatened the employees and be in risk
threatened the employees and be in risk
threatened the employees and be in risk or heavy and having the risk of being
or heavy and having the risk of being
or heavy and having the risk of being injured live in code today bad guys
injured live in code today bad guys
injured live in code today bad guys don’t try to break into the branch of a
don’t try to break into the branch of a
don’t try to break into the branch of a bank anymore
bank anymore
bank anymore and shooting there today it’s much
and shooting there today it’s much
and shooting there today it’s much easier to deploy a computer with some
easier to deploy a computer with some
easier to deploy a computer with some kind of intelligence that will still
kind of intelligence that will still
kind of intelligence that will still only one dollar from your bank account
only one dollar from your bank account
only one dollar from your bank account but we’ll do it tens of millions of
but we’ll do it tens of millions of
but we’ll do it tens of millions of times in a row that’s what computers are
times in a row that’s what computers are
times in a row that’s what computers are good at well let’s take a look at
good at well let’s take a look at
good at well let’s take a look at another example money laundry in
another example money laundry in
another example money laundry in terrorist funding which becomes one of
terrorist funding which becomes one of
terrorist funding which becomes one of the greatest threats to banks and
the greatest threats to banks and
the greatest threats to banks and regulators
regulators
regulators money laundry today done the same way
money laundry today done the same way
money laundry today done the same way computer residing in totally different
computer residing in totally different
computer residing in totally different country using artificial intelligence
country using artificial intelligence
country using artificial intelligence send commands to move funds between
send commands to move funds between
send commands to move funds between accounts in a bank in a way that
accounts in a bank in a way that
accounts in a bank in a way that existing systems and humans will not be
existing systems and humans will not be
existing systems and humans will not be able to identify this day in order to
able to identify this day in order to
able to identify this day in order to conduct a massive financial crime all
conduct a massive financial crime all
conduct a massive financial crime all you need is a computer connected to the
you need is a computer connected to the
you need is a computer connected to the internet and some kind of intelligence
internet and some kind of intelligence
internet and some kind of intelligence since my early days I had a privilege to
since my early days I had a privilege to
since my early days I had a privilege to manage successful startup companies and
manage successful startup companies and
manage successful startup companies and today I manage an company called feta
today I manage an company called feta
today I manage an company called feta ray I believe one of the most exciting
ray I believe one of the most exciting
ray I believe one of the most exciting one where we spearhead the use of
one where we spearhead the use of
one where we spearhead the use of artificial intelligence to fight with
artificial intelligence to fight with
artificial intelligence to fight with financial crime and attacks on critical
financial crime and attacks on critical
financial crime and attacks on critical infrastructure we have developed
infrastructure we have developed
infrastructure we have developed artificial intelligence that allows the
artificial intelligence that allows the
artificial intelligence that allows the system to learn and adapt itself to the
system to learn and adapt itself to the
system to learn and adapt itself to the threat and the system is built on
threat and the system is built on
threat and the system is built on principles of big data analytics ability
principles of big data analytics ability
principles of big data analytics ability to analyze hyper dimensional data from
to analyze hyper dimensional data from
to analyze hyper dimensional data from many different sources and very
many different sources and very
many different sources and very effective algorithms that allow to
effective algorithms that allow to
effective algorithms that allow to detect threats with very high precision
detect threats with very high precision
detect threats with very high precision but with very low level of false alarms
but with very low level of false alarms
but with very low level of false alarms this method of effective machine
this method of effective machine
this method of effective machine learnings is based on the principle of
learnings is based on the principle of
learnings is based on the principle of uncovering the unknown unknowns
uncovering the unknown unknowns
uncovering the unknown unknowns sometimes in mathematics we call it and
sometimes in mathematics we call it and
sometimes in mathematics we call it and supervised donning now let’s take a look
supervised donning now let’s take a look
supervised donning now let’s take a look back on the money laundry or terrorist
back on the money laundry or terrorist
back on the money laundry or terrorist funding until now money laundering
funding until now money laundering
funding until now money laundering scheme was only be able to identify when
scheme was only be able to identify when
scheme was only be able to identify when crime was conducted and money has left
crime was conducted and money has left
crime was conducted and money has left the bank today with our new technology
the bank today with our new technology
the bank today with our new technology based on artificial intelligence we can
based on artificial intelligence we can
based on artificial intelligence we can actually identify innocent movements of
actually identify innocent movements of
actually identify innocent movements of funds or allegedly innocent movements of
funds or allegedly innocent movements of
funds or allegedly innocent movements of funds within accounts in a bank in many
funds within accounts in a bank in many
funds within accounts in a bank in many cases our technology detects money
cases our technology detects money
cases our technology detects money laundry 70 days before an actual attempt
laundry 70 days before an actual attempt
laundry 70 days before an actual attempt to conduct a crime and take the money
to conduct a crime and take the money
to conduct a crime and take the money out of the bank sounds unbelievable
out of the bank sounds unbelievable
out of the bank sounds unbelievable doesn’t it these systems work on daily
doesn’t it these systems work on daily
doesn’t it these systems work on daily basis in the largest and leading banks
basis in the largest and leading banks
basis in the largest and leading banks in the world and helps to protect those
in the world and helps to protect those
in the world and helps to protect those banks again crimes such as terrorist
banks again crimes such as terrorist
banks again crimes such as terrorist funding money laundry and human
funding money laundry and human
funding money laundry and human trafficking financing so many people ask
trafficking financing so many people ask
trafficking financing so many people ask what AI is and where people ask me
what AI is and where people ask me
what AI is and where people ask me what is the I I actually love to quote a
what is the I I actually love to quote a
what is the I I actually love to quote a Marvin Minsky who once said artificial
Marvin Minsky who once said artificial
Marvin Minsky who once said artificial intelligence is the science of making
intelligence is the science of making
intelligence is the science of making computers to do things that if human
computers to do things that if human
computers to do things that if human beings will do them will require
beings will do them will require
beings will do them will require intelligence artificial intelligence is
intelligence artificial intelligence is
intelligence artificial intelligence is not some passing phenomena it affects
not some passing phenomena it affects
not some passing phenomena it affects and will continue to affect upon various
and will continue to affect upon various
and will continue to affect upon various industries financial institutions
industries financial institutions
industries financial institutions government organizations industrial
government organizations industrial
government organizations industrial transportation aviation warfare you name
transportation aviation warfare you name
transportation aviation warfare you name it for example computer doctor today can
it for example computer doctor today can
it for example computer doctor today can provide your second opinion what some
provide your second opinion what some
provide your second opinion what some systems can analyze huge amount of data
systems can analyze huge amount of data
systems can analyze huge amount of data and suggest you a different treatment
and suggest you a different treatment
and suggest you a different treatment gaming I don’t you know but today the
gaming I don’t you know but today the
gaming I don’t you know but today the world champion of chess is a computer as
world champion of chess is a computer as
world champion of chess is a computer as well as the ball champion of ancient
well as the ball champion of ancient
well as the ball champion of ancient game of Go Chinese ancient game of goal
game of Go Chinese ancient game of goal
game of Go Chinese ancient game of goal of course personal assistance and speech
of course personal assistance and speech
of course personal assistance and speech recognition systems Amazon Alexa Google
recognition systems Amazon Alexa Google
recognition systems Amazon Alexa Google assistant Apple Siri facial recognition
assistant Apple Siri facial recognition
assistant Apple Siri facial recognition systems autonomous vehicles weapons and
systems autonomous vehicles weapons and
systems autonomous vehicles weapons and more and more oh there are many things
more and more oh there are many things
more and more oh there are many things people call AI classically I can be
people call AI classically I can be
people call AI classically I can be compared to cognitive systems once they
compared to cognitive systems once they
compared to cognitive systems once they identify a pattern of behavior activity
identify a pattern of behavior activity
identify a pattern of behavior activity there are able to use analytic abilities
there are able to use analytic abilities
there are able to use analytic abilities that imitate human brain to propose you
that imitate human brain to propose you
that imitate human brain to propose you an action but this type of AI is not
an action but this type of AI is not
an action but this type of AI is not good enough to identify unknown threats
good enough to identify unknown threats
good enough to identify unknown threats unexpected events or detect unknown
unexpected events or detect unknown
unexpected events or detect unknown unknowns in other words but if you think
unknowns in other words but if you think
unknowns in other words but if you think about it that’s where the real danger is
about it that’s where the real danger is
about it that’s where the real danger is for example let’s take classic AI
for example let’s take classic AI
for example let’s take classic AI systems you can today teach the systems
systems you can today teach the systems
systems you can today teach the systems how to identify rabbit and then it will
how to identify rabbit and then it will
how to identify rabbit and then it will identify all the types of rabbits of
identify all the types of rabbits of
identify all the types of rabbits of different different types and shapes and
different different types and shapes and
different different types and shapes and forms but if you expect the system to
forms but if you expect the system to
forms but if you expect the system to identify a snake it will not be able to
identify a snake it will not be able to
identify a snake it will not be able to do it because nobody taught it how to
do it because nobody taught it how to
do it because nobody taught it how to identify snake
identify snake
identify snake of course you can tell the system look
of course you can tell the system look
of course you can tell the system look will train you to alert anytime there is
will train you to alert anytime there is
will train you to alert anytime there is anything other than a rabbit but then
anything other than a rabbit but then
anything other than a rabbit but then we’ll have millions of false alarms and
we’ll have millions of false alarms and
we’ll have millions of false alarms and we will not be able to distinguish
we will not be able to distinguish
we will not be able to distinguish between real threat and a fake one so
between real threat and a fake one so
between real threat and a fake one so the next generation of a Isis
the next generation of a Isis
the next generation of a Isis simulate the activity of n of the
simulate the activity of n of the
simulate the activity of n of the ancient part of human brain which is
ancient part of human brain which is
ancient part of human brain which is responsible primary mercy
responsible primary mercy
responsible primary mercy impulses observing the data from our
impulses observing the data from our
impulses observing the data from our visual and auditory systems and then
visual and auditory systems and then
visual and auditory systems and then telling different organs in our body how
telling different organs in our body how
telling different organs in our body how to behave there’s the new artificial
to behave there’s the new artificial
to behave there’s the new artificial intelligence paradigm developing
intelligence paradigm developing
intelligence paradigm developing computers adopt human traits we
computers adopt human traits we
computers adopt human traits we eventually speaking of a new generation
eventually speaking of a new generation
eventually speaking of a new generation of artificial intelligence systems which
of artificial intelligence systems which
of artificial intelligence systems which are learning independently like a child
are learning independently like a child
are learning independently like a child to define danger or identify danger
to define danger or identify danger
to define danger or identify danger without previously know what they are
without previously know what they are
without previously know what they are looking for this ability to identify
looking for this ability to identify
looking for this ability to identify strange behavior by the way is very
strange behavior by the way is very
strange behavior by the way is very intuitive and easy for us humans for
intuitive and easy for us humans for
intuitive and easy for us humans for example when you drive a car and you
example when you drive a car and you
example when you drive a car and you suddenly hear strange noise most of us
suddenly hear strange noise most of us
suddenly hear strange noise most of us even people without any mechanical
even people without any mechanical
even people without any mechanical training will be able to identify that
training will be able to identify that
training will be able to identify that something wrong is going on the next
something wrong is going on the next
something wrong is going on the next generation of AI is similar to a very
generation of AI is similar to a very
generation of AI is similar to a very sensitive ear that will use common sense
sensitive ear that will use common sense
sensitive ear that will use common sense to identify that something wrong is
to identify that something wrong is
to identify that something wrong is going on in a way we provide machines
going on in a way we provide machines
going on in a way we provide machines with human characteristics such as
with human characteristics such as
with human characteristics such as feelings or gut feelings intuition and
feelings or gut feelings intuition and
feelings or gut feelings intuition and common sense which basically makes those
common sense which basically makes those
common sense which basically makes those machines really look similar to us now a
machines really look similar to us now a
machines really look similar to us now a why provides all areas of our lives some
why provides all areas of our lives some
why provides all areas of our lives some of us might find it very threatening
of us might find it very threatening
of us might find it very threatening many others will see and understand the
many others will see and understand the
many others will see and understand the potential of taking human abilities in
potential of taking human abilities in
potential of taking human abilities in introducing them into computer systems
introducing them into computer systems
introducing them into computer systems very soon we’ll see many devices
very soon we’ll see many devices
very soon we’ll see many devices communicating with each other very soon
communicating with each other very soon
communicating with each other very soon we’ll see connected autonomous cars that
we’ll see connected autonomous cars that
we’ll see connected autonomous cars that in order to optimize traffic will have
in order to optimize traffic will have
in order to optimize traffic will have to learn how to communicate with each
to learn how to communicate with each
to learn how to communicate with each other but today autonomous cars or IOT
other but today autonomous cars or IOT
other but today autonomous cars or IOT devices in terms of things devices
devices in terms of things devices
devices in terms of things devices communicate using languages that we
communicate using languages that we
communicate using languages that we human being taught them
human being taught them
human being taught them we call it protocols not very efficient
we call it protocols not very efficient
we call it protocols not very efficient very soon
very soon
very soon those machines will develop their own
those machines will develop their own
those machines will develop their own language that will be much more
language that will be much more
language that will be much more efficient but of course where humans
efficient but of course where humans
efficient but of course where humans will not be able to understand it
will not be able to understand it
will not be able to understand it anymore
anymore
anymore in me 2017 something amazing or
in me 2017 something amazing or
in me 2017 something amazing or something very happened depend Facebook
something very happened depend Facebook
something very happened depend Facebook shut down its artificial intelligence
shut down its artificial intelligence
shut down its artificial intelligence lab because they suspected that the
lab because they suspected that the
lab because they suspected that the computer started to communicate with
computer started to communicate with
computer started to communicate with each other in a way that Facebook
each other in a way that Facebook
each other in a way that Facebook engineers couldn’t understand anymore
this raised a significant question to us
this raised a significant question to us should we feel artificial intelligence
should we feel artificial intelligence
should we feel artificial intelligence in terms of announcers leading names of
in terms of announcers leading names of
in terms of announcers leading names of the industry claimed that we are heading
the industry claimed that we are heading
the industry claimed that we are heading towards our magadhan chaos where
towards our magadhan chaos where
towards our magadhan chaos where autonomous systems will operate beyond
autonomous systems will operate beyond
autonomous systems will operate beyond our control where we would not be able
our control where we would not be able
our control where we would not be able understand to trust them and they will
understand to trust them and they will
understand to trust them and they will bring the end of the world my answer is
bring the end of the world my answer is
bring the end of the world my answer is different I think that in order to avoid
different I think that in order to avoid
different I think that in order to avoid this doomsday we must prepare ourselves
this doomsday we must prepare ourselves
this doomsday we must prepare ourselves in advance we must harness the power of
in advance we must harness the power of
in advance we must harness the power of machines to help us so we can control
machines to help us so we can control
machines to help us so we can control and manage our own values and the edge
and manage our own values and the edge
and manage our own values and the edge of smart machines now let’s face it
of smart machines now let’s face it
of smart machines now let’s face it every new technology brings with it its
every new technology brings with it its
every new technology brings with it its own set of fears of the unknown let me
own set of fears of the unknown let me
own set of fears of the unknown let me give a few examples with only common
give a few examples with only common
give a few examples with only common leisure commercialization of cars people
leisure commercialization of cars people
leisure commercialization of cars people predicted the destruction of a family
predicted the destruction of a family
predicted the destruction of a family unit
unit
unit when telephones were brought to the
when telephones were brought to the
when telephones were brought to the market for those of you remember people
market for those of you remember people
market for those of you remember people predicted the end of cultural debate at
predicted the end of cultural debate at
predicted the end of cultural debate at some point even the print led people to
some point even the print led people to
some point even the print led people to feel the decline of memory I remember
feel the decline of memory I remember
feel the decline of memory I remember when I took place in building the first
when I took place in building the first
when I took place in building the first and the largest Internet service
and the largest Internet service
and the largest Internet service provider many people directly predicted
provider many people directly predicted
provider many people directly predicted the extinction of human interaction as
the extinction of human interaction as
the extinction of human interaction as we know it yes there are some small
we know it yes there are some small
we know it yes there are some small truths hidden among those disturbing
truths hidden among those disturbing
truths hidden among those disturbing predictions but this technology has many
predictions but this technology has many
predictions but this technology has many contributed to expand in our human
contributed to expand in our human
contributed to expand in our human experience increasing our capabilities
experience increasing our capabilities
experience increasing our capabilities in deepening our development we are
in deepening our development we are
in deepening our development we are committed to take a mean experience even
committed to take a mean experience even
committed to take a mean experience even further the new class of smart machines
further the new class of smart machines
further the new class of smart machines is arising
is arising
is arising machines that will be bred trained and
machines that will be bred trained and
machines that will be bred trained and educated to access digital guards
educated to access digital guards
educated to access digital guards helping us to protect ourselves we
helping us to protect ourselves we
helping us to protect ourselves we should not be afraid to create an
should not be afraid to create an
should not be afraid to create an artificial intelligence because if done
artificial intelligence because if done
artificial intelligence because if done right it will build upon our own values
right it will build upon our own values
right it will build upon our own values and whether we according to my
and whether we according to my
and whether we according to my experience in the world of technology
experience in the world of technology
experience in the world of technology developments good guys always win so
developments good guys always win so
developments good guys always win so don’t worry human race will survive
don’t worry human race will survive
don’t worry human race will survive having said that we do have a
having said that we do have a
having said that we do have a responsibility in this new world of
responsibility in this new world of
responsibility in this new world of smart machines interacting with each
smart machines interacting with each
smart machines interacting with each other we humans must utilize the power
other we humans must utilize the power
other we humans must utilize the power of machines to help us to protect
of machines to help us to protect
of machines to help us to protect ourselves we all have to do it and I
ourselves we all have to do it and I
ourselves we all have to do it and I have to tell you that I’m very
have to tell you that I’m very
have to tell you that I’m very privileged to take part in making this
privileged to take part in making this
privileged to take part in making this world of connecting humans and machines
world of connecting humans and machines
world of connecting humans and machines much much safer thank you
much much safer thank you
much much safer thank you [Applause]
”
Be First to Comment