Press "Enter" to skip to content

How technological advancements continue changing the world | Per Sigurdson | TEDxFolketspark


[Applause]

[Applause] I’m very happy to be here today

I’m very happy to be here today

I’m very happy to be here today I work in tics and I spent a lot of time

I work in tics and I spent a lot of time

I work in tics and I spent a lot of time these days thinking about how the fast

these days thinking about how the fast

these days thinking about how the fast progress with intake is changing the

progress with intake is changing the

progress with intake is changing the fundamental conditions for Humanity and

fundamental conditions for Humanity and

fundamental conditions for Humanity and I would like to talk to you about take

I would like to talk to you about take

I would like to talk to you about take about standing on the shoulders of

about standing on the shoulders of

about standing on the shoulders of giants and about injecting a purpose

giants and about injecting a purpose

giants and about injecting a purpose into the next generation I believe we

into the next generation I believe we

into the next generation I believe we are at the verge of a technological

are at the verge of a technological

are at the verge of a technological explosion

explosion

explosion it’s estimated that humanity has created

it’s estimated that humanity has created

it’s estimated that humanity has created more data in the last two years than all

more data in the last two years than all

more data in the last two years than all of human history altogether we have

of human history altogether we have

of human history altogether we have exponential growth in computing power

exponential growth in computing power

exponential growth in computing power but I have a personal example of what’s

but I have a personal example of what’s

but I have a personal example of what’s happening this is me as a kid if we were

happening this is me as a kid if we were

happening this is me as a kid if we were lucky we were able to find pine cones it

lucky we were able to find pine cones it

lucky we were able to find pine cones it could take them it might not be entirely

could take them it might not be entirely

could take them it might not be entirely true but among the raddest things you

true but among the raddest things you

true but among the raddest things you can do within technology that’s a 15

can do within technology that’s a 15

can do within technology that’s a 15 year old boy you can remove the inner

year old boy you can remove the inner

year old boy you can remove the inner plug of your moped and try to make the

plug of your moped and try to make the

plug of your moped and try to make the MU go as fast as possible of course I

MU go as fast as possible of course I

MU go as fast as possible of course I didn’t 27 years later this is my oldest

didn’t 27 years later this is my oldest

didn’t 27 years later this is my oldest son mountain with his ordinary no and

son mountain with his ordinary no and

son mountain with his ordinary no and the Arduino is a small open source

the Arduino is a small open source

the Arduino is a small open source computer which you can use to make

computer which you can use to make

computer which you can use to make electronics experiments products and

electronics experiments products and

electronics experiments products and what I noticed when Anthony’s he has

what I noticed when Anthony’s he has

what I noticed when Anthony’s he has always a lot of he always sees

always a lot of he always sees

always a lot of he always sees opportunities and has a lot of projects

opportunities and has a lot of projects

opportunities and has a lot of projects he wants to do from setting up helium

he wants to do from setting up helium

he wants to do from setting up helium balloons with thrones taking pictures of

balloons with thrones taking pictures of

balloons with thrones taking pictures of the earth to making liquid engine

the earth to making liquid engine

the earth to making liquid engine repeating news I don’t know where he

repeating news I don’t know where he

repeating news I don’t know where he gets all inside years from a couple of

gets all inside years from a couple of

gets all inside years from a couple of months ago he had the idea to create the

months ago he had the idea to create the

months ago he had the idea to create the robotic hand and control the robotic

robotic hand and control the robotic

robotic hand and control the robotic hand with his own hand when I was in a

hand with his own hand when I was in a

hand with his own hand when I was in a business trip a few months back

business trip a few months back

business trip a few months back his simply this

prototype video which he built with his

prototype video which he built with his Arduino and the server and when they did

Arduino and the server and when they did

Arduino and the server and when they did some research he found out that he could

some research he found out that he could

some research he found out that he could actually download and 3d print an entire

actually download and 3d print an entire

actually download and 3d print an entire robotic hand and 3d printing is pretty

robotic hand and 3d printing is pretty

robotic hand and 3d printing is pretty awesome

awesome

awesome don’t you think and together with a hand

don’t you think and together with a hand

don’t you think and together with a hand scanner hand camera I had at work he was

scanner hand camera I had at work he was

scanner hand camera I had at work he was able to put together this so this is the

able to put together this so this is the

able to put together this so this is the robotic hand that he can control with

robotic hand that he can control with

robotic hand that he can control with his own hand

his own hand

his own hand the like thing is the camera that me

the like thing is the camera that me

the like thing is the camera that me sees how he’s moving his hands and he is

sees how he’s moving his hands and he is

sees how he’s moving his hands and he is able to control the hand and this is

able to control the hand and this is

able to control the hand and this is really about being able to stand on the

really about being able to stand on the

really about being able to stand on the shoulders of giants be able to use what

shoulders of giants be able to use what

shoulders of giants be able to use what is already being invent that I created

is already being invent that I created

is already being invent that I created and I think it’s quite astonishing that

and I think it’s quite astonishing that

and I think it’s quite astonishing that something that was kind of science

something that was kind of science

something that was kind of science fiction in a few years back is something

fiction in a few years back is something

fiction in a few years back is something that a ticket eating can put together

that a ticket eating can put together

that a ticket eating can put together today and I can’t even imagine the

today and I can’t even imagine the

today and I can’t even imagine the opportunities my grandchildren will have

opportunities my grandchildren will have

opportunities my grandchildren will have I’m looking at examples other examples

I’m looking at examples other examples

I’m looking at examples other examples you can go to the automotive industry

you can go to the automotive industry

you can go to the automotive industry they have stopped talking about

they have stopped talking about

they have stopped talking about autonomous cars they think I’ll take

autonomous cars they think I’ll take

autonomous cars they think I’ll take this for granted even though it’s not

this for granted even though it’s not

this for granted even though it’s not publicly available they are looking at

publicly available they are looking at

publicly available they are looking at the next step and that’s transform a

the next step and that’s transform a

the next step and that’s transform a course as we know them into

course as we know them into

course as we know them into transportation as a service and this

transportation as a service and this

transportation as a service and this would probably benefit humanity quite a

would probably benefit humanity quite a

would probably benefit humanity quite a lot we will be able to utilize vehicles

lot we will be able to utilize vehicles

lot we will be able to utilize vehicles in much more they are trying to achieve

in much more they are trying to achieve

in much more they are trying to achieve what these leaves extremely industry did

what these leaves extremely industry did

what these leaves extremely industry did to the CD transforming something that we

to the CD transforming something that we

to the CD transforming something that we buy and own into actually having access

buy and own into actually having access

buy and own into actually having access to music and we would probably see fewer

to music and we would probably see fewer

to music and we would probably see fewer vehicles and if the traffic increases

vehicles and if the traffic increases

vehicles and if the traffic increases like Illamasqua fix it back then his

like Illamasqua fix it back then his

like Illamasqua fix it back then his boring company makes all that as well

boring company makes all that as well

boring company makes all that as well and we’ll have less I

and we’ll have less I

and we’ll have less I we can use probably utilize space that

we can use probably utilize space that

we can use probably utilize space that is calculated reserved for parking but

the thing I think is most interesting

the thing I think is most interesting right now is what’s happening within

right now is what’s happening within

right now is what’s happening within machine learning and artificial

machine learning and artificial

machine learning and artificial intelligence so what’s happened since

intelligence so what’s happened since

intelligence so what’s happened since the chess computer game was tabled to

the chess computer game was tabled to

the chess computer game was tabled to beat characters probably 97 in 2011 what

beat characters probably 97 in 2011 what

beat characters probably 97 in 2011 what some beats a rainy Jeffrey Manning

some beats a rainy Jeffrey Manning

some beats a rainy Jeffrey Manning challenge champions and last year alfred

challenge champions and last year alfred

challenge champions and last year alfred was able to beat the girl champion and

was able to beat the girl champion and

was able to beat the girl champion and that’s quite an achievement even ago

that’s quite an achievement even ago

that’s quite an achievement even ago with so much more complex than chess and

with so much more complex than chess and

with so much more complex than chess and it’s said to require intuition in order

it’s said to require intuition in order

it’s said to require intuition in order to accelerate and these days computers

to accelerate and these days computers

to accelerate and these days computers machines are as good as humans sometimes

machines are as good as humans sometimes

machines are as good as humans sometimes even better in areas where he was really

even better in areas where he was really

even better in areas where he was really used to excelling this example is from a

used to excelling this example is from a

used to excelling this example is from a computer that perform on par with

computer that perform on par with

computer that perform on par with trained physicians in diagnosing skin

trained physicians in diagnosing skin

trained physicians in diagnosing skin cancer and just think about the

cancer and just think about the

cancer and just think about the possibilities when we have this kind of

possibilities when we have this kind of

possibilities when we have this kind of technology on our smartphones we could

technology on our smartphones we could

technology on our smartphones we could revolutionize healthcare this is a

revolutionize healthcare this is a

revolutionize healthcare this is a example from work when we try to use a

example from work when we try to use a

example from work when we try to use a technology put them together into

technology put them together into

technology put them together into creating new services and here we have

creating new services and here we have

creating new services and here we have used facial recognition and the now we

used facial recognition and the now we

used facial recognition and the now we can use out-of-the-box understanding of

can use out-of-the-box understanding of

can use out-of-the-box understanding of spoken language in order to create new

spoken language in order to create new

spoken language in order to create new services and we do something like this

I’m there for meeting yes all right I

I’m there for meeting yes all right I got a game

so behind the mirror there’s a screen

so behind the mirror there’s a screen showing information on top there’s a

showing information on top there’s a

showing information on top there’s a camera which is used for facial

camera which is used for facial

camera which is used for facial recognition so it actually recognizes

recognition so it actually recognizes

recognition so it actually recognizes David and it actually sends a text

David and it actually sends a text

David and it actually sends a text message to Johnny saying you have a

message to Johnny saying you have a

message to Johnny saying you have a visitor

visitor

visitor just think about the implications this

just think about the implications this

just think about the implications this house will have to the receptionist’s

house will have to the receptionist’s

house will have to the receptionist’s profession for example and I believe

profession for example and I believe

profession for example and I believe that we will benefit quite a lot from

that we will benefit quite a lot from

that we will benefit quite a lot from machine learning artificial intelligence

machine learning artificial intelligence

machine learning artificial intelligence this is from the movie her by Spike

this is from the movie her by Spike

this is from the movie her by Spike Jones and suppose in its backward view

Jones and suppose in its backward view

Jones and suppose in its backward view yeah it’s about the main character for

yeah it’s about the main character for

yeah it’s about the main character for your love with his Amy and when I saw it

your love with his Amy and when I saw it

your love with his Amy and when I saw it I thought it was quite far-fetched but

I thought it was quite far-fetched but

I thought it was quite far-fetched but having had Google home and I miss on the

having had Google home and I miss on the

having had Google home and I miss on the lakeside home quite some time I’m not in

lakeside home quite some time I’m not in

lakeside home quite some time I’m not in love with them but I do think we can

love with them but I do think we can

love with them but I do think we can create the emotional bonds with machines

create the emotional bonds with machines

create the emotional bonds with machines in the in the near future given that I

in the in the near future given that I

in the in the near future given that I like warm or you know like but I think

like warm or you know like but I think

like warm or you know like but I think personal a ice will really benefit from

personal a ice will really benefit from

personal a ice will really benefit from them enabling us to skip the boring

them enabling us to skip the boring

them enabling us to skip the boring things and let the personal assistants

things and let the personal assistants

things and let the personal assistants take care of them and focus on doing the

take care of them and focus on doing the

take care of them and focus on doing the things that we really love why is all

things that we really love why is all

things that we really love why is all this happening right now

this happening right now

this happening right now well there’s many reasons but I think

well there’s many reasons but I think

well there’s many reasons but I think one of the biggest reason is that we are

one of the biggest reason is that we are

one of the biggest reason is that we are actually able to stand on the shoulders

actually able to stand on the shoulders

actually able to stand on the shoulders of giants if we go back to the right

of giants if we go back to the right

of giants if we go back to the right healing service that I mentioned at the

healing service that I mentioned at the

healing service that I mentioned at the beginning you need a lot of things in

beginning you need a lot of things in

beginning you need a lot of things in place there that for one example is the

place there that for one example is the

place there that for one example is the high precision positioning service which

high precision positioning service which

high precision positioning service which we won’t take for granted today the GPS

we won’t take for granted today the GPS

we won’t take for granted today the GPS but if we dissect this a little bit and

but if we dissect this a little bit and

but if we dissect this a little bit and look what is needed in order to have a

look what is needed in order to have a

look what is needed in order to have a GPS service we would have to have

GPS service we would have to have

GPS service we would have to have invented navigation which was done some

invented navigation which was done some

invented navigation which was done some time ago of course

time ago of course

time ago of course sending things to space

sending things to space

sending things to space satellites atomic clocks in September

satellites atomic clocks in September

satellites atomic clocks in September and that’s just what that tiny service

and that’s just what that tiny service

and that’s just what that tiny service that we take a brenda and for autonomous

that we take a brenda and for autonomous

that we take a brenda and for autonomous cars we need machine learning or fish

cars we need machine learning or fish

cars we need machine learning or fish Italians computer vision robotics and a

Italians computer vision robotics and a

Italians computer vision robotics and a lot of other stuff that is available to

lot of other stuff that is available to

lot of other stuff that is available to us right now with all of these

us right now with all of these

us right now with all of these possibilities that we have one intake we

possibilities that we have one intake we

possibilities that we have one intake we do have a great responsibility to do

do have a great responsibility to do

do have a great responsibility to do good and I think my generation has great

good and I think my generation has great

good and I think my generation has great responsibility but we are kind of a

responsibility but we are kind of a

responsibility but we are kind of a generation of conformists we have been

generation of conformists we have been

generation of conformists we have been taught to study more get a job simple

taught to study more get a job simple

taught to study more get a job simple family go on vacation by cars and that’s

family go on vacation by cars and that’s

family go on vacation by cars and that’s care too much about the bigger picture

care too much about the bigger picture

care too much about the bigger picture so I think we need a little bit more

so I think we need a little bit more

so I think we need a little bit more radical change that we’re seeing in my

radical change that we’re seeing in my

radical change that we’re seeing in my generation so I think it’s our my

generation so I think it’s our my

generation so I think it’s our my generations foremost responsibility to

generations foremost responsibility to

generations foremost responsibility to keep the desire and the tools to the

keep the desire and the tools to the

keep the desire and the tools to the next generation to really make a

next generation to really make a

next generation to really make a difference and when it comes to tick and

difference and when it comes to tick and

difference and when it comes to tick and opportunities there are of course risks

opportunities there are of course risks

opportunities there are of course risks with this as well one obvious thing

with this as well one obvious thing

with this as well one obvious thing that’s come out of technology that

that’s come out of technology that

that’s come out of technology that doesn’t really serve humanity is the

doesn’t really serve humanity is the

doesn’t really serve humanity is the atomic bomb more recent examples might

atomic bomb more recent examples might

atomic bomb more recent examples might find with the table

find with the table

find with the table take was an experiment on using machine

take was an experiment on using machine

take was an experiment on using machine learning artificial intelligence to

learning artificial intelligence to

learning artificial intelligence to train about how to interact with humans

train about how to interact with humans

train about how to interact with humans and it took only 24 hours to create a

and it took only 24 hours to create a

and it took only 24 hours to create a really rude NHD spot and you can argue

really rude NHD spot and you can argue

really rude NHD spot and you can argue from the technological standpoint

from the technological standpoint

from the technological standpoint instead this was good but it was

instead this was good but it was

instead this was good but it was certainly not nothing that they tried to

certainly not nothing that they tried to

certainly not nothing that they tried to achieve and they was turned off after 24

achieve and they was turned off after 24

achieve and they was turned off after 24 hours I believe that machine learning

hours I believe that machine learning

hours I believe that machine learning and artificial intelligence will benefit

and artificial intelligence will benefit

and artificial intelligence will benefit humanity but we really need to take care

humanity but we really need to take care

humanity but we really need to take care about what risks what are the risks how

about what risks what are the risks how

about what risks what are the risks how do we handle them and there are people

do we handle them and there are people

do we handle them and there are people way smarter than aya who really think

way smarter than aya who really think

way smarter than aya who really think that machines you can sell against my

that machines you can sell against my

that machines you can sell against my curse

curse

curse a threat to humanity and we’re in the

a threat to humanity and we’re in the

a threat to humanity and we’re in the fourth Industrial Revolution and we have

fourth Industrial Revolution and we have

fourth Industrial Revolution and we have a different problem a lot of research

a different problem a lot of research

a different problem a lot of research saying that optimistic shelter jobs will

saying that optimistic shelter jobs will

saying that optimistic shelter jobs will be redundant within the next 20 years

be redundant within the next 20 years

be redundant within the next 20 years and the other part of that is also that

and the other part of that is also that

and the other part of that is also that we will be lacking competence in order

we will be lacking competence in order

we will be lacking competence in order to really take advantage from how to

to really take advantage from how to

to really take advantage from how to take take advantage of the opportunities

take take advantage of the opportunities

take take advantage of the opportunities and how to avoid the risks we take

and how to avoid the risks we take

and how to avoid the risks we take neurotic technology going so fast and

neurotic technology going so fast and

neurotic technology going so fast and governments have seen this and in Sweden

governments have seen this and in Sweden

governments have seen this and in Sweden we will have programming from first

we will have programming from first

we will have programming from first grade soon but DEA might be a little bit

grade soon but DEA might be a little bit

grade soon but DEA might be a little bit off program is good but we really need

off program is good but we really need

off program is good but we really need to focus on the opportunities and the

to focus on the opportunities and the

to focus on the opportunities and the risks we need technology and maybe

risks we need technology and maybe

risks we need technology and maybe focusing more on creative thinking than

focusing more on creative thinking than

focusing more on creative thinking than just programming the school system moves

just programming the school system moves

just programming the school system moves slowly and technology moves very fast in

slowly and technology moves very fast in

slowly and technology moves very fast in crafts today people are still eating

crafts today people are still eating

crafts today people are still eating lupica

lupica

lupica gloves and cornea paper knives when I

gloves and cornea paper knives when I

gloves and cornea paper knives when I should maybe be focusing on digital

should maybe be focusing on digital

should maybe be focusing on digital creation three-dimensional printing and

creation three-dimensional printing and

creation three-dimensional printing and putting up pretty new things you see

putting up pretty new things you see

putting up pretty new things you see your technology so how do we bridge this

your technology so how do we bridge this

your technology so how do we bridge this gap I don’t think we can leave it to the

gap I don’t think we can leave it to the

gap I don’t think we can leave it to the schools there are examples in a society

schools there are examples in a society

schools there are examples in a society where things are happening one is the

where things are happening one is the

where things are happening one is the coderdojo movement where volunteers from

coderdojo movement where volunteers from

coderdojo movement where volunteers from the tech industry help youngsters to

the tech industry help youngsters to

the tech industry help youngsters to understand digital the digital

understand digital the digital

understand digital the digital possibilities and teach them how to

possibilities and teach them how to

possibilities and teach them how to program and courage new services another

program and courage new services another

program and courage new services another example is the maker movement which is

example is the maker movement which is

example is the maker movement which is quite hype these days where people get

quite hype these days where people get

quite hype these days where people get together to build new

together to build new

together to build new things your cool stuff you see new

things your cool stuff you see new

things your cool stuff you see new technology so I would like to end with

technology so I would like to end with

technology so I would like to end with saying we can’t leave it to the school

saying we can’t leave it to the school

saying we can’t leave it to the school system to prepare the next generation

system to prepare the next generation

system to prepare the next generation it’s up to all of us so let us hold help

it’s up to all of us so let us hold help

it’s up to all of us so let us hold help the next generation to find a purpose

the next generation to find a purpose

the next generation to find a purpose and prepare them for the opportunities

and prepare them for the opportunities

and prepare them for the opportunities and challenges of their time thank you

and challenges of their time thank you

and challenges of their time thank you [Applause]

”

Be First to Comment

Leave a Reply

Your email address will not be published. Required fields are marked *