How algorithms shape our world | Kevin Slavin

Translator: Sanjin Arifagic Reviewer: Mislav Ante Omazić - EFZG

This is a photograph

Ovo je fotografija

by the artist Michael Najjar,

koju je načinio umjetnik Michael Najjar,

and it's real,

i ona je stvarna

in the sense that he went there to Argentina

u smislu da je on otišao u Argentinu

to take the photo.

da je uslika

But it's also a fiction. There's a lot of work that went into it after that.

Ali je također i fikcija. Uloženo je mnogo truda u nju nakon samog fotografisanja.

And what he's done

Ono što je on ustvari uradio je

is he's actually reshaped, digitally,

preoblikovao, digitalno,

all of the contours of the mountains

sve vrhove planina

to follow the vicissitudes of the Dow Jones index.

kako bi odgovarali promjenama Dow Jones indeksa.

So what you see,

Tako da je ovo što vidite

that precipice, that high precipice with the valley,

ova padina, ova strma padina sa dolinom u produžetku

is the 2008 financial crisis.

ustvari finansijska kriza iz 2008. godine.

The photo was made

Fotografija je napravljena

when we were deep in the valley over there.

kada smo zagazili duboko u dolinu.

I don't know where we are now.

Ne znam gdje se sada nalazimo.

This is the Hang Seng index

Ovo je Hang Seng indeks

for Hong Kong.

berze u Hong Kongu.

And similar topography.

I slična topografija.

I wonder why.

Pitam se zašto.

And this is art. This is metaphor.

Ovo je umjetnost, zar ne? Ovo je metafora.

But I think the point is

Ali čini se da je ključno

that this is metaphor with teeth,

da je ovo metafora sa zubima,

and it's with those teeth that I want to propose today

i sa tom mišlju vam želim predložiti danas

that we rethink a little bit

da ponovo promislimo

about the role of contemporary math --

ulogu savremene matematike --

not just financial math, but math in general.

ne samo finansijske matematike, nego matematike uopšte.

That its transition

Njena trazicija

from being something that we extract and derive from the world

iz nečega što izvodimo i deriviramo iz stvarnog svijeta

to something that actually starts to shape it --

u nešto što zapravo počinje oblikovati svijet --

the world around us and the world inside us.

svijet oko nas, svijet unutar nas.

And it's specifically algorithms,

I posebno algoritme,

which are basically the math

koji su u osnovi matematika

that computers use to decide stuff.

koju kompjuteri koriste kako bi donosili odluke.

They acquire the sensibility of truth

Oni stiču osjećaj istine

because they repeat over and over again,

jer se iznova ponavljaju.

and they ossify and calcify,

I oni se okoštaju i kalcificiraju,

and they become real.

i zapravo postaju stvarni.

And I was thinking about this, of all places,

Ja sam razmišljao o ovome, od svih mjesta,

on a transatlantic flight a couple of years ago,

na preko-atlantskom letu prije par godina

because I happened to be seated

jer sam se slučajno našao na sjedištu

next to a Hungarian physicist about my age

pored mađarskog fizičara, otprilike mojih godina,

and we were talking

i mi razgovaramo

about what life was like during the Cold War

o tome kakav je bio život fizičara

for physicists in Hungary.

u Mađarskoj tijekom hladnog rata.

And I said, "So what were you doing?"

I upitao sam ga, "Šta ste Vi radili?",

And he said, "Well we were mostly breaking stealth."

I rekao je, "Pa, uglavnom smo pokušavali da razbijemo nevidljivost lovačkih aviona.“

And I said, "That's a good job. That's interesting.

A ja sam rekao, "Zvuči kao odličan posao. To je interesantno."

How does that work?"

"Kako to funkcioniše?"

And to understand that,

Da biste to razumjeli,

you have to understand a little bit about how stealth works.

morate imate osnovno razumijevanje kako funkcioniše nevidljivost aviona.

And so -- this is an over-simplification --

I -- ovo je potpuno pojednostavljeno --

but basically, it's not like

ali u osnovi ne možete jednostavno

you can just pass a radar signal

da provučete radarski signal

right through 156 tons of steel in the sky.

kroz 156 tona čelika na nebu.

It's not just going to disappear.

Objekat neće jednostavno nestati.

But if you can take this big, massive thing,

Ali ako možete uzeti ovu veliku, masivnu stvar,

and you could turn it into

i pretvoriti je u

a million little things --

milion malih stvari --

something like a flock of birds --

nešto kao jato ptica --

well then the radar that's looking for that

u tom slučaju, radar koji to traži

has to be able to see

mora biti u stanju uočiti

every flock of birds in the sky.

svako jato ptica na nebu.

And if you're a radar, that's a really bad job.

Ako ste radar, to je zaista težak posao.

And he said, "Yeah." He said, "But that's if you're a radar.

"Da", rekao je, "ali samo ako si radar.

So we didn't use a radar;

Tako da nismo koristili radar;

we built a black box that was looking for electrical signals,

napravili smo crnu kutiju koja je pretraživala električne signale,

electronic communication.

elektronsku komunikaciju.

And whenever we saw a flock of birds that had electronic communication,

I kad god bismo vidjeli jato ptica koje ima elektronsku komunikaciju,

we thought, 'Probably has something to do with the Americans.'"

mogli smo biti prilično sigurni Amerikanci imaju nešto s tim."

And I said, "Yeah.

A ja sam rekao "Da.

That's good.

To je dobro.

So you've effectively negated

"Znači, Vi ste efektivno poništili

60 years of aeronautic research.

"60 godina aeronautičkog istraživanja.

What's your act two?

Šta se dešava u drugom činu?

What do you do when you grow up?"

Šta radite sad kad ste porasli?"

And he said,

I on reče,

"Well, financial services."

"Pa... finansijske usluge."

And I said, "Oh."

"Oh.", rekao sam.

Because those had been in the news lately.

Obzirom da su vijesti o finansijama nešto češće u posljednje vrijeme.

And I said, "How does that work?"

"Kako to funkcioniše?", pitao sam.

And he said, "Well there's 2,000 physicists on Wall Street now,

Rekao je, "Pa trenutno ima 2.000 fizičara na Wall Streetu,

and I'm one of them."

i ja sam jedan od njih."

And I said, "What's the black box for Wall Street?"

"I šta je crna kutija na Wall Streetu?", pitao sam.

And he said, "It's funny you ask that,

"Interesantno da to pitate," rekao je

because it's actually called black box trading.

"obzirom da se zaista zove trgovanje iz crne kutije ("black box trading").

And it's also sometimes called algo trading,

A nekada se naziva i algo trgovanje,

algorithmic trading."

algoritamsko trgovanje."

And algorithmic trading evolved in part

I algoritamsko trgovanje je nastalo dijelom

because institutional traders have the same problems

jer su institucionalni investitori imali iste probleme

that the United States Air Force had,

kao američka ratna avijacija.

which is that they're moving these positions --

Mijenjali su svoje vlasničke pozicije --

whether it's Proctor & Gamble or Accenture, whatever --

bilo da je to bio Proctor & Gamble, Accenture, ili neka druga firma --

they're moving a million shares of something

mijenjali su vlasništvo nad milionima dionica nečega

through the market.

kroz tržište.

And if they do that all at once,

I ako to urade odjednom

it's like playing poker and going all in right away.

to je kao da uložite sve u prvom dijeljenju u igri pokera.

You just tip your hand.

Jednostavno odate karte.

And so they have to find a way --

Tako da su morali pronaći način --

and they use algorithms to do this --

a za ovo koriste algoritme --

to break up that big thing

da podijele tu jednu veliku stvar, veliku transakciju

into a million little transactions.

u milion malih transakcija.

And the magic and the horror of that

Čarolija i užas toga je da

is that the same math

istu matematiku

that you use to break up the big thing

koju koristite da podijelite veliku stvar

into a million little things

u milion malih djelića

can be used to find a million little things

možete koristiti da pronađete milion malih djelića

and sew them back together

i ponovo ih sastavite

and figure out what's actually happening in the market.

i shvatite šta se zapravo dešava na tržištu.

So if you need to have some image

Tako da ako želite imati neku sliku

of what's happening in the stock market right now,

berzovnog tržišta u ovom trenutku,

what you can picture is a bunch of algorithms

možete ga zamisliti kao veliki broj algoritama

that are basically programmed to hide,

koji su programirani da prikriju transakcije,

and a bunch of algorithms that are programmed to go find them and act.

i veliki broj algoritama koji su programirani da ih pronađu i djeluju.

And all of that's great, and it's fine.

I sve je to u redu.

And that's 70 percent

Dok ne saznate da oni čine 70 procenata

of the United States stock market,

berzovnog prometa Sjedinjenih Država,

70 percent of the operating system

70 procenata operativnog sistema

formerly known as your pension,

prethodno poznatog kao vaše penzije,

your mortgage.

vaši zajmovi za kuće.

And what could go wrong?

A šta može poći po zlu?

What could go wrong

Pa, šta može poći po zlu

is that a year ago,

je da je prije godinu dana,

nine percent of the entire market just disappears in five minutes,

9 posto vrijednosti cjelokupnog tržišta nestalo za samo pet minuta.

and they called it the Flash Crash of 2:45.

i to nazivaju "fleš krahom u 2:45".

All of a sudden, nine percent just goes away,

Potpuno neočekivano, 9 posto jednostavno nestane,

and nobody to this day

i nitko do današnjeg dana,

can even agree on what happened

se čak ne može ni složiti oko toga šta se dogodilo,

because nobody ordered it, nobody asked for it.

jer nitko nije izdao nalog, nitko to nije tražio.

Nobody had any control over what was actually happening.

Niko nije imao kontrolu nad ovim.

All they had

Sve što su imali bio je monitor

was just a monitor in front of them

ispred njih

that had the numbers on it

sa brojevima na njemu

and just a red button

i crveno dugme

that said, "Stop."

na kojem je pisalo "Stop".

And that's the thing,

Stvar je zapravo u tome

is that we're writing things,

da mi trenutno pišemo stvari,

we're writing these things that we can no longer read.

pišemo ove stvari koje više ne znamo pročitati.

And we've rendered something

Načinili smo nešto

illegible,

nečitljivim.

and we've lost the sense

I izgubili smo osjećaj

of what's actually happening

šta se zapravo zbiva

in this world that we've made.

u ovom svijetu koji smo napravili.

And we're starting to make our way.

I počinjemo tražiti put.

There's a company in Boston called Nanex,

U Bostonu postoji kompanija koja se zove Nanex,

and they use math and magic

koja koristi matematiku i čarolije

and I don't know what,

i ne znam šta sve ne,

and they reach into all the market data

i oni posegnu za svim podacima o trgovini na berzi

and they find, actually sometimes, some of these algorithms.

i ponekada zaista pronađu neke od ovih algoritama.

And when they find them they pull them out

I kada ih pronađu, oni ih iščupaju iz mase podataka

and they pin them to the wall like butterflies.

i zakače ih na zid, kao preparirane leptirove.

And they do what we've always done

I rade ono što smo uvijek radili

when confronted with huge amounts of data that we don't understand --

kad se suočimo sa velikom količinom podataka koje ne razumijemo --

which is that they give them a name

damo im ime

and a story.

i priču.

So this is one that they found,

I tako, ovo je jedan od algoritama koji su pronašli

they called the Knife,

koji zovu "Nož",

the Carnival,

"Karneval",

the Boston Shuffler,

"Bostonski mješač",

Twilight.

"Sumrak".

And the gag is

Stvar je da,

that, of course, these aren't just running through the market.

naravno, oni nisu ograničeni samo na tržišta.

You can find these kinds of things wherever you look,

Ovakve algoritme možete naći gdje god da pogledate,

once you learn how to look for them.

ukoliko naučite šta da tražite.

You can find it here: this book about flies

Možete ih naći ovdje: ova knjiga o muhama

that you may have been looking at on Amazon.

koju ste možda uočili na Amazonu.

You may have noticed it

Možda vam je zapala za oko

when its price started at 1.7 million dollars.

kada je njena cijena dostigla 1,7 miliona dolara.

It's out of print -- still ...

Knjiga se više na štampa, ali ipak...

(Laughter)

(Smijeh)

If you had bought it at 1.7, it would have been a bargain.

Da ste je kupili po cijeni od 1.7 miliona, to bi bila bagatela.

A few hours later, it had gone up

Nekoliko sati kasnije, cijena se popela

to 23.6 million dollars,

na 23.6 miliona dolara,

plus shipping and handling.

uz troškove pošiljke i obrade.

And the question is:

I pitanje je sljedeće:

Nobody was buying or selling anything; what was happening?

Niko nije ništa kupovao ili prodavao; šta se događalo?

And you see this behavior on Amazon

Možete uočiti ove pojave na Amazonu

as surely as you see it on Wall Street.

isto kao što ih možete vidjeti na Wall Streetu.

And when you see this kind of behavior,

I kada vidite ovu vrstu pojave,

what you see is the evidence

ono što vidite je manifestacija

of algorithms in conflict,

algoritama u konfliktu,

algorithms locked in loops with each other,

algoritama zaključanih u beskonačnim krugovima jednih sa drugima,

without any human oversight,

bez ikakvog ljudskog nadzora,

without any adult supervision

bez roditeljske pažnje

to say, "Actually, 1.7 million is plenty."

nekoga ko bi rekao, "Zapravo, 1.7 miliona je više nego dovoljno."

(Laughter)

(Smijeh)

And as with Amazon, so it is with Netflix.

Sličan primjer Amazonu vidimo i na Netflixu.

And so Netflix has gone through

Netflix je prošao kroz nekoliko

several different algorithms over the years.

različitih algoritama tokom godina.

They started with Cinematch, and they've tried a bunch of others --

Počeli su sa Cinematch, a onda su okušali i niz drugih.

there's Dinosaur Planet; there's Gravity.

Imate Planetu dionosaura ("Dinosaur Planet"), Gravitaciju ("Gravity").

They're using Pragmatic Chaos now.

Trenutno koriste Pragmatični haos ("Pragmatic Chaos").

Pragmatic Chaos is, like all of Netflix algorithms,

Pragmatični haos pokušava učiniti istu stvar

trying to do the same thing.

kao i svi drugi Netflix algoritmi.

It's trying to get a grasp on you,

Pokušava shvatiti vas,

on the firmware inside the human skull,

operativni sistem u vašim glavama,

so that it can recommend what movie

kako bi preporučio naredni film

you might want to watch next --

koji biste mogle pogledati --

which is a very, very difficult problem.

što je veoma, veoma težak problem.

But the difficulty of the problem

Ali složenost problema

and the fact that we don't really quite have it down,

kao i činjenica da ga i ne razumijemo u potpunosti,

it doesn't take away

ne umanjuje učinak

from the effects Pragmatic Chaos has.

koji Pragmatični haos ima.

Pragmatic Chaos, like all Netflix algorithms,

Pragmatični haos, kao svi Netflix algoritmi,

determines, in the end,

određuje, na kraju,

60 percent

60 procenata

of what movies end up being rented.

svih filmova koji se rentaju.

So one piece of code

Dakle, jedan program

with one idea about you

sa nekom idejom o vama

is responsible for 60 percent of those movies.

je odgovoran za 60 posto filmova koje pogledate.

But what if you could rate those movies

Ali šta kada biste mogli ocijeniti filmove

before they get made?

i prije no što ih snime?

Wouldn't that be handy?

Zar to ne bi bilo korisno?

Well, a few data scientists from the U.K. are in Hollywood,

E, pa nekoliko informacijskih naučnika iz Velike Britanije je u Holivudu,

and they have "story algorithms" --

i oni imaju algoritme za scenarije i filmske priče --

a company called Epagogix.

kompanije koja se zove Epagogix.

And you can run your script through there,

I možete provući vaš scenarij kroz njihov program,

and they can tell you, quantifiably,

i oni vam mogu reći, kvantificirati,

that that's a 30 million dollar movie

da je to film koji će zaraditi 30 miliona dolara

or a 200 million dollar movie.

ili 200 miliona dolara.

And the thing is, is that this isn't Google.

Stvar je u tome da ovo nije Google.

This isn't information.

Ovo nisu informacije.

These aren't financial stats; this is culture.

Ovo nisu finansijski podaci; ovo je kultura.

And what you see here,

I ono što vidimo ovdje,

or what you don't really see normally,

ili bolje rečeno, što obično ne vidimo jer ostane skriveno,

is that these are the physics of culture.

jest da je ovo fizika kulture.

And if these algorithms,

I ako ovi algoritmi,

like the algorithms on Wall Street,

kao algoritmi na Wall Streetu

just crashed one day and went awry,

krahiraju jednog dana i pođu po zlu,

how would we know?

kako ćemo znati,

What would it look like?

kako će to izgledati?

And they're in your house. They're in your house.

A oni su u vašoj kući. Oni su u vašoj kući.

These are two algorithms competing for your living room.

Ovo su dva algoritma koja se bore za vašu dnevnu sobu.

These are two different cleaning robots

Ovo su dva robotizirana usisivača

that have very different ideas about what clean means.

koja imaju vrlo različita shvatanja čistoće.

And you can see it

I vi to možete i vidjeti

if you slow it down and attach lights to them,

ako ih usporite i dodate im svjetlo.

and they're sort of like secret architects in your bedroom.

A oni su kao neki tajni arhitekti u vašoj spavaćoj sobi.

And the idea that architecture itself

Čak i ideja da je i sama arhitektura

is somehow subject to algorithmic optimization

na neki način podređena algoritamskoj optimizaciji

is not far-fetched.

nije nerealna.

It's super-real and it's happening around you.

Ona je vrlo stvarna i to se već dešava oko vas.

You feel it most

Najviše ćete je osjetiti

when you're in a sealed metal box,

kad se budete nalazili u zatvorenoj metalnoj kutiji,

a new-style elevator;

liftu nove generacije,

they're called destination-control elevators.

kojeg zovu lift sa kontrolom odredišta.

These are the ones where you have to press what floor you're going to go to

To su oni liftovi kod kojih morate odabrati sprat na koji idete

before you get in the elevator.

prije negoli uđete u lift.

And it uses what's called a bin-packing algorithm.

I on koristi ono što se naziva algoritmom za pakovanje kanti.

So none of this mishegas

Znači ništa od ove ludosti

of letting everybody go into whatever car they want.

da puštamo ljude da ulaze u lift koji žele.

Everybody who wants to go to the 10th floor goes into car two,

Svi koji žele na 10-ti sprat ulaze u lift dva,

and everybody who wants to go to the third floor goes into car five.

a svi koji žele na treći sprat ulaze u lift pet.

And the problem with that

Problem s ovim

is that people freak out.

je da se ljudi prestrave.

People panic.

Ljudi se uspaniče.

And you see why. You see why.

A možete i razumjeti zašto. Vidite zašto.

It's because the elevator

Liftu nedostaje

is missing some important instrumentation, like the buttons.

nekoliko važnih instrumenata, kao na primjer dugmad.

(Laughter)

(Smijeh)

Like the things that people use.

Stvari koje ljudi koriste.

All it has

Sve što lift ima

is just the number that moves up or down

je broj koji se pomjera gore ili dole

and that red button that says, "Stop."

i crveno dugme na kojem piše "Stop".

And this is what we're designing for.

Tako dizajniramo stvari.

We're designing

Dizajniramo

for this machine dialect.

za ovaj mašinski dijalekt.

And how far can you take that? How far can you take it?

I, dokle možemo ići tako? Dokle ovo možemo dovesti?

You can take it really, really far.

Možemo ga dovesti stvarno, stvarno daleko.

So let me take it back to Wall Street.

Dopustite mi da se vratim na Wall Street.

Because the algorithms of Wall Street

Jer algoritmi na Wall Streetu zavise

are dependent on one quality above all else,

od jedne stvari više no od bilo čega drugog,

which is speed.

a to je brzina.

And they operate on milliseconds and microseconds.

A oni operišu u milisekundama i mikrosekundama.

And just to give you a sense of what microseconds are,

Da bih vam dao osjećaj šta je mikrosekunda,

it takes you 500,000 microseconds

potrebno vam je 500,000 mikrosekundi

just to click a mouse.

da biste kliknuli mišem.

But if you're a Wall Street algorithm

Ali ako ste algoritam na Wall Streetu

and you're five microseconds behind,

i ako kasnite 5 mikrosekundi,

you're a loser.

vi ste gubitnik.

So if you were an algorithm,

Dakle ako ste algoritam,

you'd look for an architect like the one that I met in Frankfurt

tražili biste arhitektu kao jednoga kojeg sam upoznao u Frankfurtu

who was hollowing out a skyscraper --

koji ispražnjuje cijeli neboder --

throwing out all the furniture, all the infrastructure for human use,

izbacuje sav namještaj, svu infrastrukturu koju koriste ljudi,

and just running steel on the floors

i samo postavlja čelik na podove

to get ready for the stacks of servers to go in --

kako bi ih pripremio za nizove servera koji će ići unutra --

all so an algorithm

sve kako bi algoritam

could get close to the Internet.

mogao prići bliže Internetu.

And you think of the Internet as this kind of distributed system.

Obično razmišljamo o Internetu kao o distribuiranom sistemu.

And of course, it is, but it's distributed from places.

I naravno, on to i jeste, ali je distribuiran iz različitih lokacija.

In New York, this is where it's distributed from:

U New Yorku, distribuiran je odavde:

the Carrier Hotel

Carrier hotel

located on Hudson Street.

u ulici Hudson.

And this is really where the wires come right up into the city.

Odavde žice ulaze direktno u grad.

And the reality is that the further away you are from that,

I realnost je da što ste dalje od ove lokacije

you're a few microseconds behind every time.

uvijek ste par mikrosekundi sporiji.

These guys down on Wall Street,

Ovi momci s Wall Streeta,

Marco Polo and Cherokee Nation,

Marco Polo i Cherokee Nation

they're eight microseconds

oni su osam mikrosekundi

behind all these guys

sporiji od ovih algoritama

going into the empty buildings being hollowed out

koje lociraju u ispražnjene zgrade

up around the Carrier Hotel.

oko Carrier hotela.

And that's going to keep happening.

I to će nastaviti da se dešava.

We're going to keep hollowing them out,

Nastavićemo da ih ispražnjujemo,

because you, inch for inch

jer vi, centimetar po centimetar,

and pound for pound and dollar for dollar,

dolar po dolar, nitko od vas

none of you could squeeze revenue out of that space

ne može iscijediti veći prihod iz tog prostora

like the Boston Shuffler could.

od Bostonskog mješača.

But if you zoom out,

Ali, ako se malo izdvojite iz slike

if you zoom out,

i pogledate krupni plan,

you would see an 825-mile trench

vidjećete kanal dug 1,330 kilometara

between New York City and Chicago

između New Yorka i Čikaga

that's been built over the last few years

koji izgrađen tijekom posljednjih par godina

by a company called Spread Networks.

od kompanije koja se zove Spread Networks.

This is a fiber optic cable

Ovo je optički kabl

that was laid between those two cities

koji je pružen između ova dva grada

to just be able to traffic one signal

za saobraćaj samo jednog signala

37 times faster than you can click a mouse --

37 puta brže no što vi možete kliknuti mišem --

just for these algorithms,

izgrađen samo za ove algoritme,

just for the Carnival and the Knife.

samo za Karneval, za Nož.

And when you think about this,

I kada pomislite na to,

that we're running through the United States

da trčimo kroz Sjedinjene Države

with dynamite and rock saws

sa dinamitom i razbijačima stijena

so that an algorithm can close the deal

samo kako bi algoritam mogao zaključiti transakciju

three microseconds faster,

tri mikrosekunde brže,

all for a communications framework

sve za komunikacijski okvir

that no human will ever know,

koji nijedno ljudsko biće neće upoznati

that's a kind of manifest destiny;

to je neka vrsta manifestne sudbine

and we'll always look for a new frontier.

koja će uvijek pomjerati nove granice.

Unfortunately, we have our work cut out for us.

Nažalost, posao pred nama je vrlo ambiciozan.

This is just theoretical.

Ovo je samo teoretski.

This is some mathematicians at MIT.

Ovo su pripremili neki matematičari sa MIT-a.

And the truth is I don't really understand

I, da budem iskren, ni ja ne razumijem mnogo

a lot of what they're talking about.

od ovoga o čemu su pričali.

It involves light cones and quantum entanglement,

Uključujući neke svjetlosne kupole i kvantnu zamršenost,

and I don't really understand any of that.

i je ne razumijem ništa od toga.

But I can read this map,

Ali mogu se snaći na ovoj mapi.

and what this map says

I ono što nam ova mapa kaže

is that, if you're trying to make money on the markets where the red dots are,

je da, ukoliko mislite zaraditi novac na tržištima gdje su ove crvene tačke,

that's where people are, where the cities are,

gdje se nalaze ljudi, u gradovima,

you're going to have to put the servers where the blue dots are

moraćete postaviti servere na mjesta označena plavim tačkama

to do that most effectively.

kako biste bili najučinkovitiji.

And the thing that you might have noticed about those blue dots

Možda ste primjetili da se mnoge od ovih plavih tačaka

is that a lot of them are in the middle of the ocean.

nalaze na sredini okeana.

So that's what we'll do: we'll build bubbles or something,

Znači to ćemo raditi, pravićemo neke balone ili nešto slično,

or platforms.

ili platforme.

We'll actually part the water

bukvalno ćemo razdvajati more

to pull money out of the air,

kako bismo uzimali novac iz zraka,

because it's a bright future

jer pred vama je blistava budućnost,

if you're an algorithm.

ukoliko ste algoritam.

(Laughter)

(Smijeh)

And it's not the money that's so interesting actually.

Novac sam i nije toliko interesatan.

It's what the money motivates,

Interesantno je kako nas novac motiviše.

that we're actually terraforming

Tako mijenjamo oblik i izgled

the Earth itself

površine Zemlje

with this kind of algorithmic efficiency.

u cilju algoritamske efikasnosti.

And in that light,

I kada se u tom svjetlu

you go back

vratite

and you look at Michael Najjar's photographs,

i pogledate fotografije Michaela Najjara,

and you realize that they're not metaphor, they're prophecy.

shvatite da to nisu metafore, već predskazanja.

They're prophecy

To su predskazanja

for the kind of seismic, terrestrial effects

seizmičkih, reljefno mijenjajučih efekata

of the math that we're making.

matematike.

And the landscape was always made

Pejsaž je uvijek bio proizvod

by this sort of weird, uneasy collaboration

čudne, nespokojne saradnje

between nature and man.

prirode i čovjeka.

But now there's this third co-evolutionary force: algorithms --

Ali sada imamo i treću ko-evolucijsku snagu: algoritme --

the Boston Shuffler, the Carnival.

Bostonskog mješača, Karneval.

And we will have to understand those as nature,

I moraćemo ih početi razumijevati kao dio prirode.

and in a way, they are.

Na neki način, oni to i jesu.

Thank you.

Hvala vam.

(Applause)

(Aplauz)