Will The Next Picasso Be A Robot? | The School of Luzu

So, we have six pieces of art
right here. Five of them have been
created by a human and one of them has been
created by a machine. Which one is the machine-made
piece of art? We’re gonna take a vote.The first one, the second one,
the third one, the fourth,
the fifth and the sixth.No one got it right. NARRATOR:The School of Life
is sending some of YouTube’s
most popular creators
on a series of field tripsto explore some of
philosophy’s most
intriguing ideas.
This time, it’s Luzu,a Spanish content creator
who built a global reputation
playing online video gamesand now has over
eight million subscribers.
Advances in
artificial intelligence
are blurring the lines
between humans and machines.
And now robots are encroaching
on the last remaining area
that we thought
was uniquely human.
The power to be creative.I’m Luzu. Or am I? The one thing that
I keep thinking about is, as we give these machines
human-like attributes, what does that mean when it comes to
our identity as humans? This is such a big subject, we need a little guide
before we start. NARRATOR:A 60-second guide
to identity.
For most of human history,the difference between humans
and machines was very clear.
A machine was something clever
but simple,
whereas humans were
miraculous creatures of
astonishing potential.
But very recently,
something extraordinary
has happened.
We’ve started to make machines
that equal and outstrip many
of our own capacities.
This has created
a troubling question.
What is left that makes us
distinctively human?
One important answer
is the ability to create.
Machines might be better
at predicting the weather,
or even
beat us at chess,
but surely they’ll never be
able to generate amazing art.
In 1950, Alan Turing,
the founding father
of computer science,
proposed a test.When a human
can no longer tell
if they are interacting
with a person or a machine,
we will have lost
the one last quality
that distinguishes us
from machines.
So, when we can no longer tellthe difference between art
made by machines
and art made by humans,what would be left
to mark us out as unique?
Might as soon
be nothing at all
that we can do that
a machine won’t be able
to do just as well?
Or, most frighteningly of all,
much, much better.
Machine learning
is now challenging
our very concept of
what makes humans unique.
We’re comfortable with robots
performing basic skills
that we don’t want to
do ourselves,
but in this video,Luzu was looking at AIs
that create art
before facing a test,
along with you,
to see if he can
correctly identify art
created by a machinewhen it’s up against art
created by humans.
But first, what does life
look like on the AI frontline?
Hi, there. I’m Luzu.
Nice to meet you. Nice to meet you, too.
How are you? I’m great.
Thanks for asking. NARRATOR:This robot
is called NAO.
It looks a bit like a toy,but, actually,
it’s a WiFi enabled,
autonomous AI
who listens through sensors
and gathers information
from online sources,
teaching itself through
a continuous process
of machine learning.
NAO gives an eerie sense
of how the border
between human and machine
is becoming more porous.
-I need to learn some lines.
-[EXCLAIMS] -Don’t distract me.
-Oh. I’m here trying to figure out
what it means to be human. Do you know anything
about that? Absolutely. We robots
are evolving quickly and taking on more and more
of your human characteristics. We have been able to carry out
straightforward tasks, but recently we have begun
to educate ourselves. It’s called machine learning. Think I’m gonna
want to research and learn a little bit
more about that. NARRATOR:We humans think of
ourselves as the undisputed
masters of the universe,
but that confidence
is now being challenged
as advances in
machine learning
close the gap between
what humans and computers
can do.
There is one area
where we feel certain
that we do still retain
a unique distinction.
Only humans have the power
to be creative.
But what if even
that skill
could be performed by
a machine?
Before being tested
on his ability to spot
the art created by an AI,
Luzu’s on his way to UCLA,where an AI
is teaching itself
to create
an original artwork.
So, this is one
of the projects
I wanted to show you. The concept is really
to teach a machine to create a single portrait from this vast number
of individual portraits. And then asking it
to generate its own
portrait from that. LUZU: The machine creates
something original, right? It’s not just imitating
everything, it’s creating something
from scratch. GABBY: So, there’s two parts
of the algorithm, one of them generates
an image and the other one criticizing it
and gives a little bit of feedback and says,
“Actually, “you need to make it
a little bit smaller, “or put a bit of red
in this area and try again.” So, as the process
goes on, it’s getting
better and better. So, this shows the process
of evolution, where on the left
we got some of the early imagery
that’s generated
by the machine and it starts to become
more and more kind of recognizable
as one of the portraits
from the set. But it still has a very
painterly, slightly abstract, slightly
Impressionistic feel. But this was just
running for 24 hours. Makes me think
a little bit of how a baby learning
what a person is. The machine is right now
doing the same thing. The machine learning
processes are so similar to our own learning processes
and our creative processes. That you start to see that
kind of invention and creativity happening. I think in the same way
that has been happening
within humans. So, the machine’s kind of
going through that process at an accelerated rate. NARRATOR:It’s one thing
for machines to create
original art,
but is it any good?AI company GumGum
is putting art
made by machines
up against art
made by humans
to see if Luzu
can tell which is which.
We’re deeply interested
in computer vision and machine learning
and we decided,
why don’t we try a Turing test? And see if humans
can figure out which one’s
artificially generated. I know that art
is very subjective and something that
we would attribute
to, like, humans. There’s a lot of emotion,
there’s expression, so how does a machine
choose what it’s gonna paint? I mean, I can flip that
back on you and say,
“How do you decide?” -Is it based on data?
-I guess… Computers are more
than capable of generating art in any medium. From all these paintings, one was created by
a machine? That’s right, yeah… Any idea which one
it might be? So, it could be any
of them, right? Right. Which one is it? NARRATOR:While Luzu ponders,why don’t you have a go?Can you tell which one
of these paintings
has been done
by an AI?
Do you think it’s one?Two, three?Four?Five?Or six?If I had to take a guess, I don’t know a lot about art
or anything like that, but I think I would
choose the first one. Just because, it looks a little bit more
flat, right? I don’t know,
it looks like something that could be made
by a machine. It’s like the randomness
that a machine would… Yeah, I imagine
something like that. -Like zeros and ones.
-Yeah, kind of. [CHUCKLES] Actually, it’s this one. LUZU: Okay, I was not
expecting that. The way that it works
is actually by taking images
like this and teaching it how
to generate things
of this nature. And, eventually, after you
feed it enough data, you’ll yield something
that looks like this, that passes a Turing test, which actually blew my mind.
I was so happy. The definition of creativity
is to create. Doesn’t say anything
about being a human
or a monkey or machine. So, try and answer
the question where
this will end, these things are just gonna
keep getting bigger, faster, stronger, better,
and whether the data
comes from us or maybe they start
learning from each other, I think
it’s a limitless ceiling. LUZU: Do you see that as
a possible thing,
we end up being the ones -learning from?
-Absolutely, and the fact that you couldn’t discern
is a testament to that. It validates the question. NARRATOR:Until recently,
machines from
the oldest cameras
to the most modern
digital scanners
have only been able
to capture impressions
of reality
created by humans.Now, machines
are doing something
far more interesting.
They’re developing
distinctive artistic
in the same way as
Van Gogh, Picasso
or Salvador Dali.
Machines can do simple,
repetitive tasks like
frying burgers,
and complex ones
like beating us at chess.
But if it will soon
be making art
good enough to hang
in museums,
we may have to rethink
what claims we can still make
to have any unique
or distinctive qualities.
And decide whether
to feel alarmed by
this threat to our concept
of humanity,
or proud of having built
machines that will soon
be our equals.
Or perhaps even
our betters.
Although they may not
be quite ready
to replace us just yet.[YELPS] You were trying
to go too far. Like, I know I’m not
that flexible, either. [YELPS] All right, I got you.
Come on, my man. -Come up, you got it?
-[WHIRRING] I think you got it. Okay?
You’re almost there. That was amazing. Can you high five? Not there yet? Okay. Thank you, guys,
so much for watching. If you enjoyed it,
what can they do? Make sure you subscribe
to the School of Life channel to see the rest
of the series. Thank you,
and thank you, guys,

100 thoughts on “Will The Next Picasso Be A Robot? | The School of Luzu

  1. Porque esa necesidad de crear algo que crea? Es necesario para nustra vida? Si nosotros podemos hacerlo, porque poner a alguien o algo mas a hacerlo? Porque no crear algo que si beneficie al mundo en vez de crear algo que nos reemplaze? Nose… solo piensenlo.

  2. No creo que el robot que hizo la pintura este capacitado para determinar la cantidad de pintura necesaria en el pincel. Por eso se le chorrea todo.. seguramente aplica mas pintura de la necesaria. Podria resolverse si le colocan una balanza, de esa forma calcula cuanta masa de pintura esta utilizando en cada pincelada. El uso de pintura chorreada y pintura no chorreada le daria mas veracidad al cuadro hecho por el robot. Además, toda la pintura cae hacia un solo lado por gravedad. Todo artista sabe que los lienzos se pueden girar, para que la pintura caiga en direcciones distintas. Eso ayudaría a que el robot haga una pintura más humana, pero es el robot quien debe tomar la decision de girar el lienzo, o de dejar aplicar mucha pintura para que caiga. En este caso me parece q no ha sido adrede. Por eso acerté con la pregunta. Era la 3 😀

  3. Es macht mich krank zu wissen, dass uns die Technologie zu diesem Zeitpunkt bereits überlegen ist, nur weil wir uns dazu bringen, es zu glauben.

  4. Es facil deducir que seria la segunda el robot basicamente no va a sacar una creacion abstracta por que eso si iria mas alla, en cambio la segunda es una cara basica con colores…..

  5. Voy a decir lo que siento de corazon si van a hacer este tipo de videos no metan a este payaso que no sabe nada con este tipo de temas es la verdad duela a quien le duela…se que tiene que ver con el marketing y para atraer gente y todo eso pero Luzu no tiene ni puta idea de robótica y es un payaso que hace reir ala gente pero nada mas tan desesperados estan por viewers una pena salu2.

  6. Os humanos pobres babando as máquinas que vão tomar os seus empregos. As máquinas que vão até te escravizar.

    Gente tola.

  7. Todo lo de YouTube Original está en inglés, la verdad no le veo sentido, además sabiendo que la mayor audiencia de luzu habla españo, yo no le veo el sentido pero bueno felicitaciones igual

  8. Solo vine por qué vi a Luzu!!! No veo mucho los originales de YouTube, por qué todo el contenido está en inglés. Pero esta vez haré el esfuerzo de ver el video pero solo por Luzu.

  9. Yo tambien Amo a Luzu pero no por eso comentare diciendo tonterias como:
    "Vine por luzu"
    "Vi el video por luzu"
    Bla bla bla…
    Creanme a Luzu le fascinaria mas si entendieran el concepto o el mensaje del video.

  10. Falso! Ni los jugadores/entrenadores, ni los "periodistas", el unico opinion realmente arbitraria es la de los aficionados! Por que? Porque votan gente que realmente sigue el deporte, sin ninguna prebenda, y que ademas por su cantidad no existen sezgos hacia un lado u otro!

    Dicho lo anteriror, en cuanto a aficionados Messi se ha llevado todos los premios por "goleada"!

  11. A machine might not have the same financial needs and therefore not repeat the same basic point an irritating number of times to make a video last longer than 10 minutes.

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