[Music] Wow there’s a lot of smart people in
Wow there’s a lot of smart people in
Wow there’s a lot of smart people in this room really smart after all every
this room really smart after all every
this room really smart after all every single one of you has about 85 billion
single one of you has about 85 billion
single one of you has about 85 billion neurons in your heads and every one of
neurons in your heads and every one of
neurons in your heads and every one of those neurons is connected to thousands
those neurons is connected to thousands
those neurons is connected to thousands of others which means there’s over a
of others which means there’s over a
of others which means there’s over a hundred trillion connections inside
hundred trillion connections inside
hundred trillion connections inside every human brain it’s the system formed
every human brain it’s the system formed
every human brain it’s the system formed by these interconnected neurons that
by these interconnected neurons that
by these interconnected neurons that make you who you are not just your
make you who you are not just your
make you who you are not just your intelligence your personality your
intelligence your personality your
intelligence your personality your creativity your values and morals every
creativity your values and morals every
creativity your values and morals every one of us is a complex system of neurons
one of us is a complex system of neurons
one of us is a complex system of neurons it’s remarkable
it’s remarkable
it’s remarkable after all we humans are pretty damn
after all we humans are pretty damn
after all we humans are pretty damn smart we’ve created art science
smart we’ve created art science
smart we’ve created art science literature The Simpsons what’s also
literature The Simpsons what’s also
literature The Simpsons what’s also remarkable is how quickly we got so
remarkable is how quickly we got so
remarkable is how quickly we got so smart if you go back just two million
smart if you go back just two million
smart if you go back just two million years our brains were one-third the size
years our brains were one-third the size
years our brains were one-third the size we didn’t even have language let alone
we didn’t even have language let alone
we didn’t even have language let alone math and physics but then the
math and physics but then the
math and physics but then the evolutionary pressures got so intense
evolutionary pressures got so intense
evolutionary pressures got so intense that for us to survive we had to become
that for us to survive we had to become
that for us to survive we had to become the smartest creatures on the planet so
the smartest creatures on the planet so
the smartest creatures on the planet so here we are the most intelligent species
here we are the most intelligent species
here we are the most intelligent species on earth congratulations
unfortunately things are about to change
unfortunately things are about to change that’s because an alien intelligence is
that’s because an alien intelligence is
that’s because an alien intelligence is heading towards us at breakneck speeds
heading towards us at breakneck speeds
heading towards us at breakneck speeds and it will challenge our position as
and it will challenge our position as
and it will challenge our position as the intellectual top dog many experts
the intellectual top dog many experts
the intellectual top dog many experts predict it’ll get here in 50 years some
predict it’ll get here in 50 years some
predict it’ll get here in 50 years some say it’ll get here in 20 and let’s just
say it’ll get here in 20 and let’s just
say it’ll get here in 20 and let’s just be straight we have no reason to believe
be straight we have no reason to believe
be straight we have no reason to believe it would be friendly it’ll have its own
it would be friendly it’ll have its own
it would be friendly it’ll have its own values its own morals its own
values its own morals its own
values its own morals its own self-interest and if it behaves anything
self-interest and if it behaves anything
self-interest and if it behaves anything like we do it’ll put its own
like we do it’ll put its own
like we do it’ll put its own self-interest first to the detriment of
self-interest first to the detriment of
self-interest first to the detriment of all other creatures it encounters know
all other creatures it encounters know
all other creatures it encounters know this aliens not rocketing through space
this aliens not rocketing through space
this aliens not rocketing through space it will be born right here on earth a
it will be born right here on earth a
it will be born right here on earth a sentient AI that will emerge in a
sentient AI that will emerge in a
sentient AI that will emerge in a research lab at Google or Facebook or a
research lab at Google or Facebook or a
research lab at Google or Facebook or a top university how do I know emerge
top university how do I know emerge
top university how do I know emerge I know because I have billions of
I know because I have billions of
I know because I have billions of neurons in my head and I know that
neurons in my head and I know that
neurons in my head and I know that research labs are spending billions of
research labs are spending billions of
research labs are spending billions of dollars creating artificial brains
dollars creating artificial brains
dollars creating artificial brains composed of billions of artificial
composed of billions of artificial
composed of billions of artificial neurons mother Nature has already proven
neurons mother Nature has already proven
neurons mother Nature has already proven that this approach works it will happen
that this approach works it will happen
that this approach works it will happen an alien will arrive and it will be
an alien will arrive and it will be
an alien will arrive and it will be smarter than us and when that happens
smarter than us and when that happens
smarter than us and when that happens it’ll be our next big evolutionary
it’ll be our next big evolutionary
it’ll be our next big evolutionary pressure point one that again requires
pressure point one that again requires
pressure point one that again requires us to get smarter much smarter or lose
us to get smarter much smarter or lose
us to get smarter much smarter or lose our position as the top intelligence in
our position as the top intelligence in
our position as the top intelligence in our environment but this time we might
our environment but this time we might
our environment but this time we might not have a few million years we might
not have a few million years we might
not have a few million years we might only have a few decades I know there are
only have a few decades I know there are
only have a few decades I know there are those who say we just need to be careful
those who say we just need to be careful
those who say we just need to be careful and we can prevent this alien from ever
and we can prevent this alien from ever
and we can prevent this alien from ever hatching in a lab there are others who
hatching in a lab there are others who
hatching in a lab there are others who say we just need to put controls in
say we just need to put controls in
say we just need to put controls in place to be sure that this alien is
place to be sure that this alien is
place to be sure that this alien is helpful and friendly eager to do our
helpful and friendly eager to do our
helpful and friendly eager to do our bidding but honestly we humans have a
bidding but honestly we humans have a
bidding but honestly we humans have a pretty bad track record for containing
pretty bad track record for containing
pretty bad track record for containing dangerous technologies so what do we do
dangerous technologies so what do we do
dangerous technologies so what do we do personally I’ve been worried about this
personally I’ve been worried about this
personally I’ve been worried about this problem for 25 years ever since I took
problem for 25 years ever since I took
problem for 25 years ever since I took my very first course on artificial
my very first course on artificial
my very first course on artificial neural networks back in grad school and
neural networks back in grad school and
neural networks back in grad school and for a long time I didn’t think there was
for a long time I didn’t think there was
for a long time I didn’t think there was a solution a decade ago I even wrote a
a solution a decade ago I even wrote a
a solution a decade ago I even wrote a science fiction graphic novel called
science fiction graphic novel called
science fiction graphic novel called upgrade that outlines exactly how I see
upgrade that outlines exactly how I see
upgrade that outlines exactly how I see Humanity designing ourselves out of
Humanity designing ourselves out of
Humanity designing ourselves out of existence by building the first sentient
existence by building the first sentient
existence by building the first sentient AI and how did we let ourselves get so
AI and how did we let ourselves get so
AI and how did we let ourselves get so vulnerable to this fictional AI we gave
vulnerable to this fictional AI we gave
vulnerable to this fictional AI we gave it control of our infrastructure we even
it control of our infrastructure we even
it control of our infrastructure we even allowed it to deliver us our food a
allowed it to deliver us our food a
allowed it to deliver us our food a decade ago people told me that AI
decade ago people told me that AI
decade ago people told me that AI delivery drones were far-fetched now it
delivery drones were far-fetched now it
delivery drones were far-fetched now it seems inevitable needless to say I was
seems inevitable needless to say I was
seems inevitable needless to say I was sure we were doomed but then I asked an
sure we were doomed but then I asked an
sure we were doomed but then I asked an innocent question
innocent question
innocent question half of other species handled
half of other species handled
half of other species handled evolutionary pressures where they needed
evolutionary pressures where they needed
evolutionary pressures where they needed to get smarter much smarter fast it
to get smarter much smarter fast it
to get smarter much smarter fast it turns out the answer goes all the way
turns out the answer goes all the way
turns out the answer goes all the way back to the birds and the bees and fish
back to the birds and the bees and fish
back to the birds and the bees and fish and ants all of these creatures have
and ants all of these creatures have
and ants all of these creatures have evolved methods of amplifying their
evolved methods of amplifying their
evolved methods of amplifying their intelligence by thinking together in
intelligence by thinking together in
intelligence by thinking together in systems it’s why birds flock and fish
systems it’s why birds flock and fish
systems it’s why birds flock and fish school and bees swarm they’re smarter
school and bees swarm they’re smarter
school and bees swarm they’re smarter together than alone no I’m not talking
together than alone no I’m not talking
together than alone no I’m not talking about
about
about crowd sourcing like we humans do by
crowd sourcing like we humans do by
crowd sourcing like we humans do by taking votes and polls and surveys I’m
taking votes and polls and surveys I’m
taking votes and polls and surveys I’m talking about forming systems real-time
talking about forming systems real-time
talking about forming systems real-time systems with feedback loops so deeply
systems with feedback loops so deeply
systems with feedback loops so deeply interconnected that a new intelligence
interconnected that a new intelligence
interconnected that a new intelligence forms and emergent intelligence with its
forms and emergent intelligence with its
forms and emergent intelligence with its own personality and intellect I’m
own personality and intellect I’m
own personality and intellect I’m talking about forming a hive mind
talking about forming a hive mind
talking about forming a hive mind biologists call this swarm intelligence
biologists call this swarm intelligence
biologists call this swarm intelligence and it’s a natural step in the evolution
and it’s a natural step in the evolution
and it’s a natural step in the evolution of most social species I like to think
of most social species I like to think
of most social species I like to think about it this way a brain is a system of
about it this way a brain is a system of
about it this way a brain is a system of neurons so deeply connected that an
neurons so deeply connected that an
neurons so deeply connected that an intelligence forms a swarm is a system
intelligence forms a swarm is a system
intelligence forms a swarm is a system of brains so deeply connected that a
of brains so deeply connected that a
of brains so deeply connected that a super intelligence forms simply put a
super intelligence forms simply put a
super intelligence forms simply put a swarm is a brain of brains and it can be
swarm is a brain of brains and it can be
swarm is a brain of brains and it can be smarter than any individual member let
smarter than any individual member let
smarter than any individual member let me give you an example honeybees this is
me give you an example honeybees this is
me give you an example honeybees this is about 10,000 bees and they have a very
about 10,000 bees and they have a very
about 10,000 bees and they have a very important problem to solve they need to
important problem to solve they need to
important problem to solve they need to find a new home to move into that new
find a new home to move into that new
find a new home to move into that new home could be a hollow log or the hole
home could be a hollow log or the hole
home could be a hollow log or the hole in a side of a building or if you’re
in a side of a building or if you’re
in a side of a building or if you’re unlucky like I was a crawlspace in your
unlucky like I was a crawlspace in your
unlucky like I was a crawlspace in your garage now this sounds simple but this
garage now this sounds simple but this
garage now this sounds simple but this is a life-or-death decision that could
is a life-or-death decision that could
is a life-or-death decision that could impact the survival of the colony for
impact the survival of the colony for
impact the survival of the colony for generations to solve this problem the
generations to solve this problem the
generations to solve this problem the bees send out hundreds of scout bees
bees send out hundreds of scout bees
bees send out hundreds of scout bees that search a 30 square mile area and
that search a 30 square mile area and
that search a 30 square mile area and find dozens of candidate sites that’s
find dozens of candidate sites that’s
find dozens of candidate sites that’s the easy part the hard part is that they
the easy part the hard part is that they
the easy part the hard part is that they then need to pick the best possible
then need to pick the best possible
then need to pick the best possible solution from all the options that
solution from all the options that
solution from all the options that they’ve discovered now here’s the rub a
they’ve discovered now here’s the rub a
they’ve discovered now here’s the rub a honeybee has a tiny brain it’s smaller
honeybee has a tiny brain it’s smaller
honeybee has a tiny brain it’s smaller than a grain of sand and has less than a
than a grain of sand and has less than a
than a grain of sand and has less than a million neurons you have 85 billion
million neurons you have 85 billion
million neurons you have 85 billion neurons so however smart you think you
neurons so however smart you think you
neurons so however smart you think you are divide that by 85,000 and that’s a
are divide that by 85,000 and that’s a
are divide that by 85,000 and that’s a honeybee you probably wouldn’t want a
honeybee you probably wouldn’t want a
honeybee you probably wouldn’t want a honeybee picking a new home for you and
honeybee picking a new home for you and
honeybee picking a new home for you and yet honey bees are very discriminating
yet honey bees are very discriminating
yet honey bees are very discriminating house hunters they need to find a new
house hunters they need to find a new
house hunters they need to find a new home that’s big enough to store the
home that’s big enough to store the
home that’s big enough to store the honey they need for the winter
honey they need for the winter
honey they need for the winter that’s ventilated well enough to stay
that’s ventilated well enough to stay
that’s ventilated well enough to stay cool in the summer
cool in the summer
cool in the summer that’s insulated well enough to stay
that’s insulated well enough to stay
that’s insulated well enough to stay warm on cold nights that’s per
warm on cold nights that’s per
warm on cold nights that’s per protected from the rain but also near
protected from the rain but also near
protected from the rain but also near good sources of clean water and of
good sources of clean water and of
good sources of clean water and of course it needs to be well located near
course it needs to be well located near
course it needs to be well located near good sources of pollen this is a complex
good sources of pollen this is a complex
good sources of pollen this is a complex multivariable problem and to maximize
multivariable problem and to maximize
multivariable problem and to maximize survival the bees need to find the best
survival the bees need to find the best
survival the bees need to find the best possible solution across all of these
possible solution across all of these
possible solution across all of these competing constraints and remarkably
competing constraints and remarkably
competing constraints and remarkably they do it biologists have shown that
they do it biologists have shown that
they do it biologists have shown that honeybees pick the best possible
honeybees pick the best possible
honeybees pick the best possible solution over 80% of the time if you
solution over 80% of the time if you
solution over 80% of the time if you were a human CEO trying to find the
were a human CEO trying to find the
were a human CEO trying to find the perfect location for a new factory you’d
perfect location for a new factory you’d
perfect location for a new factory you’d face a similarly complex problem and it
face a similarly complex problem and it
face a similarly complex problem and it was very difficult to find the optimal
was very difficult to find the optimal
was very difficult to find the optimal solution and yet honeybees can do it
solution and yet honeybees can do it
solution and yet honeybees can do it let’s think about that a single bee has
let’s think about that a single bee has
let’s think about that a single bee has a brain so tiny it can’t even conceive
a brain so tiny it can’t even conceive
a brain so tiny it can’t even conceive of the problem but when they think
of the problem but when they think
of the problem but when they think together as a system they can solve it
together as a system they can solve it
together as a system they can solve it so accurately that a human brain would
so accurately that a human brain would
so accurately that a human brain would be hard-pressed to match them so how do
be hard-pressed to match them so how do
be hard-pressed to match them so how do they do this by forming a swarm
they do this by forming a swarm
they do this by forming a swarm intelligence a brain of brains that
intelligence a brain of brains that
intelligence a brain of brains that combines the knowledge and wisdom and
combines the knowledge and wisdom and
combines the knowledge and wisdom and insight and intuition of the group and
insight and intuition of the group and
insight and intuition of the group and converges on a single unified decision I
converges on a single unified decision I
converges on a single unified decision I know what you’re thinking really these
know what you’re thinking really these
know what you’re thinking really these are honeybees how do they how do they
are honeybees how do they how do they
are honeybees how do they how do they express opinions how do they converge on
express opinions how do they converge on
express opinions how do they converge on solutions remarkably they do it by
solutions remarkably they do it by
solutions remarkably they do it by vibrating their bodies biologists call
vibrating their bodies biologists call
vibrating their bodies biologists call this a waggle dance because to us it
this a waggle dance because to us it
this a waggle dance because to us it looks like the bees are dancing but
looks like the bees are dancing but
looks like the bees are dancing but really they’re generating signals that
really they’re generating signals that
really they’re generating signals that represent their support for the various
represent their support for the various
represent their support for the various home sites under consideration by
home sites under consideration by
home sites under consideration by combining these signals the bees engage
combining these signals the bees engage
combining these signals the bees engage in a multi-directional tug-of-war
in a multi-directional tug-of-war
in a multi-directional tug-of-war pushing and pulling on the decision
pushing and pulling on the decision
pushing and pulling on the decision until they converge on the one solution
until they converge on the one solution
until they converge on the one solution that they can best agree upon and it’s
that they can best agree upon and it’s
that they can best agree upon and it’s usually the optimal solution and unlike
usually the optimal solution and unlike
usually the optimal solution and unlike us humans the bees don’t entrench they
us humans the bees don’t entrench they
us humans the bees don’t entrench they don’t fall into gridlock they don’t
don’t fall into gridlock they don’t
don’t fall into gridlock they don’t settle for a bad solution that nobody’s
settle for a bad solution that nobody’s
settle for a bad solution that nobody’s happy with they find the solution that’s
happy with they find the solution that’s
happy with they find the solution that’s best for the group as a whole I point
best for the group as a whole I point
best for the group as a whole I point this out because the phrase hive mind
this out because the phrase hive mind
this out because the phrase hive mind often gets a bad rap implying a group of
often gets a bad rap implying a group of
often gets a bad rap implying a group of mindless drones who can’t think for
mindless drones who can’t think for
mindless drones who can’t think for themselves that certainly have science
themselves that certainly have science
themselves that certainly have science fiction portrays it but honestly it’s
fiction portrays it but honestly it’s
fiction portrays it but honestly it’s just not true
just not true
just not true a hive mind is nature’s way of
a hive mind is nature’s way of
a hive mind is nature’s way of aggregating the diverse perspectives of
aggregating the diverse perspectives of
aggregating the diverse perspectives of a population and maximizing their
a population and maximizing their
a population and maximizing their collective wisdom and let’s be honest we
collective wisdom and let’s be honest we
collective wisdom and let’s be honest we humans are pretty smart as individuals
humans are pretty smart as individuals
humans are pretty smart as individuals but in groups were not always that wise
but in groups were not always that wise
but in groups were not always that wise that’s because groups don’t do a great
that’s because groups don’t do a great
that’s because groups don’t do a great job of combining their diverse
job of combining their diverse
job of combining their diverse perspectives we use votes and polls and
perspectives we use votes and polls and
perspectives we use votes and polls and surveys the problem is polls are
surveys the problem is polls are
surveys the problem is polls are polarizing they drive us to entrench
polarizing they drive us to entrench
polarizing they drive us to entrench exposing and reinforcing our differences
exposing and reinforcing our differences
exposing and reinforcing our differences but doing nothing to help us find common
but doing nothing to help us find common
but doing nothing to help us find common ground a swarm is the opposite it’s
ground a swarm is the opposite it’s
ground a swarm is the opposite it’s flexible and dynamic revealing where we
flexible and dynamic revealing where we
flexible and dynamic revealing where we agree most in other words swarming
agree most in other words swarming
agree most in other words swarming doesn’t just make a species smarter it
doesn’t just make a species smarter it
doesn’t just make a species smarter it makes the species wiser now we shouldn’t
makes the species wiser now we shouldn’t
makes the species wiser now we shouldn’t feel bad that honeybees are so far ahead
feel bad that honeybees are so far ahead
feel bad that honeybees are so far ahead of us they’ve been doing this for 30
of us they’ve been doing this for 30
of us they’ve been doing this for 30 million years
million years
million years we humans have only been around for
we humans have only been around for
we humans have only been around for 200,000 give us a few million years and
200,000 give us a few million years and
200,000 give us a few million years and we’ll catch up which brings me back to
we’ll catch up which brings me back to
we’ll catch up which brings me back to the problem I started with we may not
the problem I started with we may not
the problem I started with we may not have a few million years our next big
have a few million years our next big
have a few million years our next big evolutionary pressure point may hit us
evolutionary pressure point may hit us
evolutionary pressure point may hit us within just a few decades which is why I
within just a few decades which is why I
within just a few decades which is why I ask myself a big question why can’t we
ask myself a big question why can’t we
ask myself a big question why can’t we humans amplifier intelligence now if
humans amplifier intelligence now if
humans amplifier intelligence now if birds and bees and fish can form a brain
birds and bees and fish can form a brain
birds and bees and fish can form a brain of brains why can’t people do it that’s
of brains why can’t people do it that’s
of brains why can’t people do it that’s what I wanted to know so a few years ago
what I wanted to know so a few years ago
what I wanted to know so a few years ago I founded a unique artificial
I founded a unique artificial
I founded a unique artificial intelligence company called unanimous AI
intelligence company called unanimous AI
intelligence company called unanimous AI we build hive minds so let me show you
we build hive minds so let me show you
we build hive minds so let me show you what we’ve been up to this is a natural
what we’ve been up to this is a natural
what we’ve been up to this is a natural swarm and over the last few years we’ve
swarm and over the last few years we’ve
swarm and over the last few years we’ve been modeling how swarms like this
been modeling how swarms like this
been modeling how swarms like this amplify the intelligence of groups and
amplify the intelligence of groups and
amplify the intelligence of groups and we’ve been using those models to create
we’ve been using those models to create
we’ve been using those models to create the algorithms and interfaces to allow
the algorithms and interfaces to allow
the algorithms and interfaces to allow humans to form similar swarms online
humans to form similar swarms online
humans to form similar swarms online this is a human swarm it’s about a
this is a human swarm it’s about a
this is a human swarm it’s about a hundred people all working together to
hundred people all working together to
hundred people all working together to move that glass puck each of the little
move that glass puck each of the little
move that glass puck each of the little magnets you see is controlled by a
magnets you see is controlled by a
magnets you see is controlled by a person logged in from somewhere around
person logged in from somewhere around
person logged in from somewhere around the world by moving their magnets their
the world by moving their magnets their
the world by moving their magnets their varying their opinions in real-time
varying their opinions in real-time
varying their opinions in real-time pushing and pulling on the system in
pushing and pulling on the system in
pushing and pulling on the system in much the same way that honeybees do by
much the same way that honeybees do by
much the same way that honeybees do by waggle dancing so how can I
waggle dancing so how can I
waggle dancing so how can I like this answer questions let me give
like this answer questions let me give
like this answer questions let me give you some examples
you some examples
you some examples last year CBS Interactive challenged us
last year CBS Interactive challenged us
last year CBS Interactive challenged us to predict the Kentucky Derby and not
to predict the Kentucky Derby and not
to predict the Kentucky Derby and not just the winner the first four horses in
just the winner the first four horses in
just the winner the first four horses in order in horse racing that’s called the
order in horse racing that’s called the
order in horse racing that’s called the superfecta and last year it went off at
superfecta and last year it went off at
superfecta and last year it went off at five hundred and forty to one odds now
five hundred and forty to one odds now
five hundred and forty to one odds now we didn’t know anything about
we didn’t know anything about
we didn’t know anything about horse-racing we had never done anything
horse-racing we had never done anything
horse-racing we had never done anything like this before but we were game so we
like this before but we were game so we
like this before but we were game so we formed a swarm of twenty horse racing
formed a swarm of twenty horse racing
formed a swarm of twenty horse racing enthusiasts not experts just enthusiasts
enthusiasts not experts just enthusiasts
enthusiasts not experts just enthusiasts and we had them think together as a
and we had them think together as a
and we had them think together as a system to predict the winners of the
system to predict the winners of the
system to predict the winners of the race so here’s a swarm predicting the
race so here’s a swarm predicting the
race so here’s a swarm predicting the first-place finisher Nyquist we did the
first-place finisher Nyquist we did the
first-place finisher Nyquist we did the same thing for second place third place
same thing for second place third place
same thing for second place third place fourth place and then the reporter wrote
fourth place and then the reporter wrote
fourth place and then the reporter wrote a story and published the results she
a story and published the results she
a story and published the results she even went to the Kentucky Derby placed a
even went to the Kentucky Derby placed a
even went to the Kentucky Derby placed a bet on a superfecta and tweeted out her
bet on a superfecta and tweeted out her
bet on a superfecta and tweeted out her ticket which put some pressure on us so
ticket which put some pressure on us so
ticket which put some pressure on us so how do we do we nailed it uh and anybody
how do we do we nailed it uh and anybody
how do we do we nailed it uh and anybody who had placed a $20 bet thank you so
who had placed a $20 bet thank you so
who had placed a $20 bet thank you so anybody would place the $20 bed in our
anybody would place the $20 bed in our
anybody would place the $20 bed in our predictions would have won eleven
predictions would have won eleven
predictions would have won eleven thousand dollars I placed a $20 bet and
thousand dollars I placed a $20 bet and
thousand dollars I placed a $20 bet and won eleven thousand dollars the reporter
won eleven thousand dollars the reporter
won eleven thousand dollars the reporter placed a bet a bunch of her readers
placed a bet a bunch of her readers
placed a bet a bunch of her readers placed bets want one of her readers
placed bets want one of her readers
placed bets want one of her readers reported winning $50,000 now now this is
reported winning $50,000 now now this is
reported winning $50,000 now now this is remarkable but what’s even more amazing
remarkable but what’s even more amazing
remarkable but what’s even more amazing is that of the 20 people in the swarm
is that of the 20 people in the swarm
is that of the 20 people in the swarm not a single one of them got all four
not a single one of them got all four
not a single one of them got all four horses right on their own in fact by
horses right on their own in fact by
horses right on their own in fact by taking a vote they only got one horse
taking a vote they only got one horse
taking a vote they only got one horse right out of four but by thinking
right out of four but by thinking
right out of four but by thinking together as a swarm they were perfect
together as a swarm they were perfect
together as a swarm they were perfect that’s the power of swarm intelligence
that’s the power of swarm intelligence
that’s the power of swarm intelligence let me give another example last year
let me give another example last year
let me give another example last year Newsweek challenged us to predict the
Newsweek challenged us to predict the
Newsweek challenged us to predict the Oscars so we formed a swarm of 50 movie
Oscars so we formed a swarm of 50 movie
Oscars so we formed a swarm of 50 movie fans not experts just regular fans and
fans not experts just regular fans and
fans not experts just regular fans and we had them think together as a system
we had them think together as a system
we had them think together as a system to predict each of the categories so
to predict each of the categories so
to predict each of the categories so here’s the swarm predicting Best Actress
here’s the swarm predicting Best Actress
here’s the swarm predicting Best Actress and you can see them pushing and pulling
and you can see them pushing and pulling
and you can see them pushing and pulling on the system moderated by our AI
on the system moderated by our AI
on the system moderated by our AI algorithms and converge
algorithms and converge
algorithms and converge on brie Larson and we did the same thing
on brie Larson and we did the same thing
on brie Larson and we did the same thing for each of the different categories and
for each of the different categories and
for each of the different categories and then Newsweek published our predictions
then Newsweek published our predictions
then Newsweek published our predictions which put some pressure on us so how do
which put some pressure on us so how do
which put some pressure on us so how do we do let’s compare the individuals to
we do let’s compare the individuals to
we do let’s compare the individuals to the swarm so those 50 movie fans as
the swarm so those 50 movie fans as
the swarm so those 50 movie fans as individuals were 40% accurate that’s not
individuals were 40% accurate that’s not
individuals were 40% accurate that’s not great but predicting the Oscars is hard
great but predicting the Oscars is hard
great but predicting the Oscars is hard by taking a vote those 50 movie fans
by taking a vote those 50 movie fans
by taking a vote those 50 movie fans were 47% accurate which is a little bit
were 47% accurate which is a little bit
were 47% accurate which is a little bit better but by thinking together as a
better but by thinking together as a
better but by thinking together as a swarm they jumped all the way up to 76
swarm they jumped all the way up to 76
swarm they jumped all the way up to 76 percent accurate that’s almost double
percent accurate that’s almost double
percent accurate that’s almost double the accuracy of the individual members
the accuracy of the individual members
the accuracy of the individual members and what’s even more amazing is we can
and what’s even more amazing is we can
and what’s even more amazing is we can compare to the average professional
compare to the average professional
compare to the average professional movie critic which was 64 percent in
movie critic which was 64 percent in
movie critic which was 64 percent in other words by thinking together as a
other words by thinking together as a
other words by thinking together as a swarm these average movie fans became an
swarm these average movie fans became an
swarm these average movie fans became an artificial super expert that was able to
artificial super expert that was able to
artificial super expert that was able to beat the New York Times the LA Times
beat the New York Times the LA Times
beat the New York Times the LA Times Rolling Stone variety now these are just
Rolling Stone variety now these are just
Rolling Stone variety now these are just two examples but study after study show
two examples but study after study show
two examples but study after study show that when people think together in
that when people think together in
that when people think together in swarms they can amplify their
swarms they can amplify their
swarms they can amplify their intelligence by 20% 40% 60% and that’s
intelligence by 20% 40% 60% and that’s
intelligence by 20% 40% 60% and that’s using current technology the long term
using current technology the long term
using current technology the long term potential is likely much greater after
potential is likely much greater after
potential is likely much greater after all if a swarm of bees can solve complex
all if a swarm of bees can solve complex
all if a swarm of bees can solve complex problems that would challenge a human
problems that would challenge a human
problems that would challenge a human brain a swarm of humans should be able
brain a swarm of humans should be able
brain a swarm of humans should be able to solve problems that we can’t even
to solve problems that we can’t even
to solve problems that we can’t even conceive we should be able to form a
conceive we should be able to form a
conceive we should be able to form a true super intelligence and because the
true super intelligence and because the
true super intelligence and because the building blocks are people having not
building blocks are people having not
building blocks are people having not just our knowledge but our values and
just our knowledge but our values and
just our knowledge but our values and morals and sensibilities the resulting
morals and sensibilities the resulting
morals and sensibilities the resulting super intelligence will not be alien it
super intelligence will not be alien it
super intelligence will not be alien it will be human just smarter and wiser we
will be human just smarter and wiser we
will be human just smarter and wiser we might be able to solve some of the
might be able to solve some of the
might be able to solve some of the hardest problems we face like poverty
hardest problems we face like poverty
hardest problems we face like poverty and inequality and sustainability so the
and inequality and sustainability so the
and inequality and sustainability so the next time somebody uses the phrase hive
next time somebody uses the phrase hive
next time somebody uses the phrase hive mind as a negative remember this if
mind as a negative remember this if
mind as a negative remember this if honeybees could observe how how we
honeybees could observe how how we
honeybees could observe how how we humans make big group decisions like
humans make big group decisions like
humans make big group decisions like electing our leaders or resolving our
electing our leaders or resolving our
electing our leaders or resolving our conflicts or planning for our future
conflicts or planning for our future
conflicts or planning for our future they might think we’re the primitive
they might think we’re the primitive
they might think we’re the primitive ones but not for long
ones but not for long
ones but not for long Thanks
Thanks
Thanks [Applause]
”
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