so hello everybody there is a great chance that in 50 years from now robots
chance that in 50 years from now robots
chance that in 50 years from now robots will have taken over the planet and that
will have taken over the planet and that
will have taken over the planet and that not that’s not necessarily a bad thing
not that’s not necessarily a bad thing
not that’s not necessarily a bad thing because it can mean two things either
because it can mean two things either
because it can mean two things either that robots are very very widely
that robots are very very widely
that robots are very very widely accessible product or in terms of the
accessible product or in terms of the
accessible product or in terms of the singularity
singularity
singularity well the droplets will have acquired
well the droplets will have acquired
well the droplets will have acquired human-like intelligence if not surpassed
human-like intelligence if not surpassed
human-like intelligence if not surpassed it the thing is like as humans we are
it the thing is like as humans we are
it the thing is like as humans we are used to being the most the most
used to being the most the most
used to being the most the most intelligent species on the planet we
intelligent species on the planet we
intelligent species on the planet we just don’t know what’s going to happen
just don’t know what’s going to happen
just don’t know what’s going to happen if robot intelligence is going to
if robot intelligence is going to
if robot intelligence is going to surpass human intelligence everything is
surpass human intelligence everything is
surpass human intelligence everything is unpredictable so what can happen is the
unpredictable so what can happen is the
unpredictable so what can happen is the other doomsday scenario with robots
other doomsday scenario with robots
other doomsday scenario with robots killing everybody or robots turning
killing everybody or robots turning
killing everybody or robots turning everybody into paperclips and don’t ask
everybody into paperclips and don’t ask
everybody into paperclips and don’t ask why just because they’re more
why just because they’re more
why just because they’re more intelligent in us they can just do
intelligent in us they can just do
intelligent in us they can just do anything without justifying it so how
anything without justifying it so how
anything without justifying it so how possible is this well there’s a lot of
possible is this well there’s a lot of
possible is this well there’s a lot of debate on the subject some people say
debate on the subject some people say
debate on the subject some people say that it’s very possible some people say
that it’s very possible some people say
that it’s very possible some people say that it’s just a doomsday scenario well
that it’s just a doomsday scenario well
that it’s just a doomsday scenario well my personal view is that if AI keeps
my personal view is that if AI keeps
my personal view is that if AI keeps perfecting itself making herself better
perfecting itself making herself better
perfecting itself making herself better and better and better the Navy in the
and better and better the Navy in the
and better and better the Navy in the future we’re going to have machines as
future we’re going to have machines as
future we’re going to have machines as intelligence as human if not better but
intelligence as human if not better but
intelligence as human if not better but for the moment we are at this stage
so the question is how come from that
so the question is how come from that stage to the doomsday scenario of
stage to the doomsday scenario of
stage to the doomsday scenario of rabbits being even more and more perfect
rabbits being even more and more perfect
rabbits being even more and more perfect well the thing is that when we fire dart
well the thing is that when we fire dart
well the thing is that when we fire dart that dart has a certain goal it reaches
that dart has a certain goal it reaches
that dart has a certain goal it reaches a certain place when we create a Robert
a certain place when we create a Robert
a certain place when we create a Robert the robot has to follow some certain
the robot has to follow some certain
the robot has to follow some certain commands and it has to do a certain
commands and it has to do a certain
commands and it has to do a certain function in this the case of the
function in this the case of the
function in this the case of the self-driving car well the function of
self-driving car well the function of
self-driving car well the function of the Robert is just to drive more and
the Robert is just to drive more and
the Robert is just to drive more and more efficiently but in order to avoid
more efficiently but in order to avoid
more efficiently but in order to avoid problems that like the ones that we saw
problems that like the ones that we saw
problems that like the ones that we saw in the video it makes sense that we want
in the video it makes sense that we want
in the video it makes sense that we want the robot to become more and more
the robot to become more and more
the robot to become more and more perfect but my question to you is when
perfect but my question to you is when
perfect but my question to you is when does this perfectionism actually stop in
does this perfectionism actually stop in
does this perfectionism actually stop in the case of the self-driving car one of
the case of the self-driving car one of
the case of the self-driving car one of its goals will be for example to never
its goals will be for example to never
its goals will be for example to never pass with a red light to always cross
pass with a red light to always cross
pass with a red light to always cross with a green light but if this robot
with a green light but if this robot
with a green light but if this robot tries to make itself more better and
tries to make itself more better and
tries to make itself more better and better into achieving this goal well
better into achieving this goal well
better into achieving this goal well this would mean that it could
this would mean that it could
this would mean that it could potentially hack into the traffic light
potentially hack into the traffic light
potentially hack into the traffic light make all red lights green and then pass
make all red lights green and then pass
make all red lights green and then pass because it does what it’s supposed to do
because it does what it’s supposed to do
because it does what it’s supposed to do right it’s supposed to pass with red
right it’s supposed to pass with red
right it’s supposed to pass with red light with green light and this could
light with green light and this could
light with green light and this could possibly in in this in the in the case
possibly in in this in the in the case
possibly in in this in the in the case of super intelligent machines these
of super intelligent machines these
of super intelligent machines these machines by trying to make themselves
machines by trying to make themselves
machines by trying to make themselves better and better and better it could
better and better and better it could
better and better and better it could create an intelligence explosion which
create an intelligence explosion which
create an intelligence explosion which would create a singularity scenario the
would create a singularity scenario the
would create a singularity scenario the one that I mentioned before so how could
one that I mentioned before so how could
one that I mentioned before so how could we possibly as humans how could we
we possibly as humans how could we
we possibly as humans how could we possibly prevent this from happening
possibly prevent this from happening
possibly prevent this from happening well one way would be to make Roberts
well one way would be to make Roberts
well one way would be to make Roberts read our minds as I said if we give the
read our minds as I said if we give the
read our minds as I said if we give the self-driving car enough context to make
self-driving car enough context to make
self-driving car enough context to make it learn that for example turning all
it learn that for example turning all
it learn that for example turning all red lights great into green just in
red lights great into green just in
red lights great into green just in order to be able to pass is bad then for
order to be able to pass is bad then for
order to be able to pass is bad then for example it wouldn’t really do it but the
example it wouldn’t really do it but the
example it wouldn’t really do it but the problem with reading minds and context
problem with reading minds and context
problem with reading minds and context is actually very very you know it’s very
is actually very very you know it’s very
is actually very very you know it’s very very vague because human life is
very vague because human life is
very vague because human life is actually pretty unpredictable so let’s
actually pretty unpredictable so let’s
actually pretty unpredictable so let’s assume that you have a firefighter that
assume that you have a firefighter that
assume that you have a firefighter that tries to save a baby from the building
tries to save a baby from the building
tries to save a baby from the building that’s burning and you have an AI that
that’s burning and you have an AI that
that’s burning and you have an AI that is supposed to help the firefighter with
is supposed to help the firefighter with
is supposed to help the firefighter with this so the AI knows everything about
this so the AI knows everything about
this so the AI knows everything about humans
humans
humans knows everything about fires and it
knows everything about fires and it
knows everything about fires and it knows everything about babies but do we
knows everything about babies but do we
knows everything about babies but do we know that the a can actually combine
know that the a can actually combine
know that the a can actually combine everything the AI sees the firefighter
everything the AI sees the firefighter
everything the AI sees the firefighter running towards the building and he gets
running towards the building and he gets
running towards the building and he gets the social cue of running but is the
the social cue of running but is the
the social cue of running but is the firefighter running towards the fire
firefighter running towards the fire
firefighter running towards the fire because she wants to be warm is he
because she wants to be warm is he
because she wants to be warm is he running towards the fire because she
running towards the fire because she
running towards the fire because she wants to save the baby or is he running
wants to save the baby or is he running
wants to save the baby or is he running towards the fire just because he wants
towards the fire just because he wants
towards the fire just because he wants to jog this kind of context is just
to jog this kind of context is just
to jog this kind of context is just we’re not sure if this would be
we’re not sure if this would be
we’re not sure if this would be accessible in a brain that is artificial
accessible in a brain that is artificial
accessible in a brain that is artificial it really created and doesn’t have the
it really created and doesn’t have the
it really created and doesn’t have the human gut feeling so if we cannot teach
human gut feeling so if we cannot teach
human gut feeling so if we cannot teach a machine that sometimes it’s bad to be
a machine that sometimes it’s bad to be
a machine that sometimes it’s bad to be perfect and if we cannot put enough
perfect and if we cannot put enough
perfect and if we cannot put enough context on it to make it understand that
context on it to make it understand that
context on it to make it understand that perfection can actually go very wrong
perfection can actually go very wrong
perfection can actually go very wrong for humans the nut can be a very bad
for humans the nut can be a very bad
for humans the nut can be a very bad scenario so I guess the goal for the
scenario so I guess the goal for the
scenario so I guess the goal for the future would be to have an AI and teach
future would be to have an AI and teach
future would be to have an AI and teach it that it’s that its goals have to
it that it’s that its goals have to
it that it’s that its goals have to align at some point with human goals and
align at some point with human goals and
align at some point with human goals and that is the hardest way to achieve it’s
that is the hardest way to achieve it’s
that is the hardest way to achieve it’s the hardest thing to do because I view
the hardest thing to do because I view
the hardest thing to do because I view us as cavemen rediscovering fire and
us as cavemen rediscovering fire and
us as cavemen rediscovering fire and this fire is AI so it can go very very
this fire is AI so it can go very very
this fire is AI so it can go very very well and just create make everything new
well and just create make everything new
well and just create make everything new as they did with caveman discovering
as they did with caveman discovering
as they did with caveman discovering fire or it can burn everything down so
fire or it can burn everything down so
fire or it can burn everything down so it is all up to us it is all about
it is all up to us it is all about
it is all up to us it is all about depends on how alert would stay and how
depends on how alert would stay and how
depends on how alert would stay and how well we design our robots but that’s of
well we design our robots but that’s of
well we design our robots but that’s of course depending on the manufacturers to
course depending on the manufacturers to
course depending on the manufacturers to do so yeah that’s me thank you very much
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