The incredible inventions of intuitive AI | Maurice Conti

Translator: Leslie Gauthier Reviewer: Camille Martínez

Prevodilac: Milenka Okuka Lektor: Mile Živković

How many of you are creatives,

Koliko vas su kreativci,

designers, engineers, entrepreneurs, artists,

dizajneri, inženjeri, preduzetnici, umetnici

or maybe you just have a really big imagination?

ili možda prosto imate veoma bujnu maštu?

Show of hands? (Cheers)

Pokažite ruke? (Klicanje)

That's most of you.

To je većina vas.

I have some news for us creatives.

Imam novosti za nas kreativce.

Over the course of the next 20 years,

U narednih 20 godina,

more will change around the way we do our work

više će se promeniti način na koji obavljamo naše poslove

than has happened in the last 2,000.

nego u poslednjih 2000 godina.

In fact, I think we're at the dawn of a new age in human history.

Zapravo, mislim da smo u praskozorju novog doba u ljudskoj istoriji.

Now, there have been four major historical eras defined by the way we work.

Sad, imali smo četiri značajne istorijske ere, definisane načinom našeg rada.

The Hunter-Gatherer Age lasted several million years.

Doba lovaca i sakupljača koje je trajalo nekoliko miliona godina.

And then the Agricultural Age lasted several thousand years.

A potom zemljoradničko doba koje je trajalo nekoliko hiljada godina.

The Industrial Age lasted a couple of centuries.

Industrijsko doba je trajalo nekoliko vekova.

And now the Information Age has lasted just a few decades.

A sadašnje informaciono doba je trajalo svega nekoliko decenija.

And now today, we're on the cusp of our next great era as a species.

Trenutno smo kao vrsta na samom početku naše nove značajne ere.

Welcome to the Augmented Age.

Dobro došli u prošireno doba.

In this new era, your natural human capabilities are going to be augmented

U ovoj novoj eri, vaše prirodne ljudske sposobnosti će da budu proširene

by computational systems that help you think,

uz pomoć računarskih sistema koji vam pomažu da razmišljate,

robotic systems that help you make,

robotskih sistema koji vam pomažu da stvarate

and a digital nervous system

i digitalnih nervnih sistema

that connects you to the world far beyond your natural senses.

koji vas povezuju sa svetom daleko izvan vaših prirodnih čula.

Let's start with cognitive augmentation.

Započnimo kognitivnim proširenjem.

How many of you are augmented cyborgs?

Koliko vas su prošireni kiborzi?

(Laughter)

(Smeh)

I would actually argue that we're already augmented.

Ja bih zapravo rekao da smo svi mi prošireni.

Imagine you're at a party,

Zamislite da ste na zabavi

and somebody asks you a question that you don't know the answer to.

i neko vam postavi pitanje na koje ne znate odgovor.

If you have one of these, in a few seconds, you can know the answer.

Ako imate nešto slično ovome, za nekoliko sekundi možete znati odgovor.

But this is just a primitive beginning.

Ali ovo je tek primitivni početak.

Even Siri is just a passive tool.

Čak je i Siri tek pasivno oruđe.

In fact, for the last three-and-a-half million years,

Zapravo, u poslednjih tri i po miliona godina,

the tools that we've had have been completely passive.

oruđa koja smo imali su bila potpuno pasivna.

They do exactly what we tell them and nothing more.

Ona rade tačno ono što im kažemo i ništa više.

Our very first tool only cut where we struck it.

Naše prvo oruđe je jedino seklo onde gde bismo udarili njime.

The chisel only carves where the artist points it.

Dleto rezbari samo onde gde ga umetnik usmeri.

And even our most advanced tools do nothing without our explicit direction.

Čak i naša najnaprednija oruđa ne rade bilo šta bez naših eksplicitnih naredbi.

In fact, to date, and this is something that frustrates me,

Zapravo, do danas, a to je nešto što me nervira,

we've always been limited

oduvek smo bili ograničeni

by this need to manually push our wills into our tools --

potrebom da ručno uteramo našu volju u naše alate -

like, manual, literally using our hands,

ručno, bukvalno koristeći naše ruke,

even with computers.

čak i sa kompjuterima.

But I'm more like Scotty in "Star Trek."

No ja sam više nalik Skotiju iz "Zvezdanih staza".

(Laughter)

(Smeh)

I want to have a conversation with a computer.

Želim da razgovaram s kompjuterom.

I want to say, "Computer, let's design a car,"

Želim da kažem: "Kompjuteru, hajde da dizajniramo automobil",

and the computer shows me a car.

i kompjuter mi pokaže automobil.

And I say, "No, more fast-looking, and less German,"

A ja kažem: "Ne, da izgleda brže i manje nemački",

and bang, the computer shows me an option.

i, bum, kompjuter mi pokaže opciju.

(Laughter)

(Smeh)

That conversation might be a little ways off,

Taj razgovor je možda malčice daleko,

probably less than many of us think,

verovatno manje nego što većina nas misli,

but right now,

ali trenutno

we're working on it.

radimo na tome.

Tools are making this leap from being passive to being generative.

Oruđa prave ovaj skok od pasivnih do stvaralačkih.

Generative design tools use a computer and algorithms

Stvaralačka dizajnerska oruđa koriste kompjutere i algoritme,

to synthesize geometry

da bi tim spojem stvorila geometriju

to come up with new designs all by themselves.

i potpuno sama došla do novih dizajna.

All it needs are your goals and your constraints.

Sve što im je potrebno su vaši ciljevi i vaša ograničenja.

I'll give you an example.

Daću vam jedan primer.

In the case of this aerial drone chassis,

U slučaju ove vazdušne šasije drona,

all you would need to do is tell it something like,

sve što bi trebalo da uradite je da tražite sledeće:

it has four propellers,

da ima četiri propelera,

you want it to be as lightweight as possible,

želite da bude što lakša

and you need it to be aerodynamically efficient.

i želite da ima aerodinamičnu efikasnost.

Then what the computer does is it explores the entire solution space:

Potom kompjuter istražuje celokupan prostor rešenja:

every single possibility that solves and meets your criteria --

baš svaku mogućnost koja rešava i ispunjava vaše kriterijume -

millions of them.

milione njih.

It takes big computers to do this.

Potrebni su veliki kompjuteri da to obave.

But it comes back to us with designs

Ali su nam uzvratili dizajnima

that we, by ourselves, never could've imagined.

koje mi sami ne bismo nikad mogli da zamislimo.

And the computer's coming up with this stuff all by itself --

A kompjuter je sam došao do ovoga -

no one ever drew anything,

niko nikad nije nacrtao bilo šta -

and it started completely from scratch.

i započeo je potpuno od nule.

And by the way, it's no accident

I, usput, nije slučajno

that the drone body looks just like the pelvis of a flying squirrel.

da telo drona izgleda baš kao karlica leteće veverice.

(Laughter)

(Smeh)

It's because the algorithms are designed to work

To je tako jer su algoritmi dizajnirani da deluju

the same way evolution does.

na isti način kao evolucija.

What's exciting is we're starting to see this technology

Uzbudljivo je što počinjemo da gledamo ovu tehnologiju

out in the real world.

u stvarnom svetu.

We've been working with Airbus for a couple of years

Nekoliko godina smo radili sa Erbasom

on this concept plane for the future.

na konceptu aviona iz budućnosti.

It's a ways out still.

I dalje je ispred svog vremena.

But just recently we used a generative-design AI

Ali baš nedavno smo koristili generativni dizajn veštačke inteligencije

to come up with this.

da bismo smislili ovo.

This is a 3D-printed cabin partition that's been designed by a computer.

Ovo je pregrada odštampana 3D štampačem, koju je dizajnirao kompjuter.

It's stronger than the original yet half the weight,

Jača je od prvobitne, a ipak je upola lakša

and it will be flying in the Airbus A320 later this year.

i leteće u erbasu A320 kasnije ove godine.

So computers can now generate;

Kompjuteri sad mogu da stvaraju;

they can come up with their own solutions to our well-defined problems.

mogu da osmisle sopstvena rešenja za naše dobro definisane probleme.

But they're not intuitive.

Ali nisu intuitivni.

They still have to start from scratch every single time,

I dalje moraju da počnu od nule, baš svaki put,

and that's because they never learn.

a to je zato što nikad ne nauče.

Unlike Maggie.

Za razliku od Megi.

(Laughter)

(Smeh)

Maggie's actually smarter than our most advanced design tools.

Megi je zapravo pametnija od naših najnaprednijih dizajnerskih oruđa.

What do I mean by that?

Šta podrazumevam time?

If her owner picks up that leash,

Ako njen vlasnik uzme povodac,

Maggie knows with a fair degree of certainty

Megi zna s porpiličnim stepenom izvesnosti

it's time to go for a walk.

da je vreme za šetnju.

And how did she learn?

A kako je naučila?

Well, every time the owner picked up the leash, they went for a walk.

Pa, svaki put kad je vlasnik uzeo povodac, išli su u šetnju.

And Maggie did three things:

I Megi je obavila tri stvari:

she had to pay attention,

morala je da obrati pažnju,

she had to remember what happened

morala je da se priseti šta se desilo

and she had to retain and create a pattern in her mind.

i morala je da zadrži i stvori obrazac u svom umu.

Interestingly, that's exactly what

Zanimljivo je da je upravo to ono što

computer scientists have been trying to get AIs to do

naučnici za kompjutere pokušavaju da navedu VI da uradi

for the last 60 or so years.

u poslednjih oko 60 godina.

Back in 1952,

Te 1952.

they built this computer that could play Tic-Tac-Toe.

su sagradili ovaj kompjuter koji je mogao da igra iks-oks.

Big deal.

Velika stvar.

Then 45 years later, in 1997,

Potom, 45 godina kasnije, 1997.

Deep Blue beats Kasparov at chess.

Deep Blue je pobedio Kasparova u šahu.

2011, Watson beats these two humans at Jeopardy,

Godine 2011, Watson je pobedio ova dva čoveka u kvizu,

which is much harder for a computer to play than chess is.

što je daleko teže za kompjuter da iga od šaha.

In fact, rather than working from predefined recipes,

Zapravo, umesto da radi na osnovu već definisanih recepata,

Watson had to use reasoning to overcome his human opponents.

Votson je morao da koristi rasuđivanje da bi prevazišao ljudske protivnike.

And then a couple of weeks ago,

A onda, pre nekoliko nedelja,

DeepMind's AlphaGo beats the world's best human at Go,

AlphaGo iz DeepMind-a je pobedio ljudsko biće koje je najbolje u gou,

which is the most difficult game that we have.

a to je najkomplikovanija igra koju imamo.

In fact, in Go, there are more possible moves

Zapravo, ima više mogućih poteza u gou

than there are atoms in the universe.

nego što ima atoma u univerzumu.

So in order to win,

Pa, kako bi pobedio,

what AlphaGo had to do was develop intuition.

AlphaGo je morao da razvije intuiciju.

And in fact, at some points, AlphaGo's programmers didn't understand

I zapravo, u nekim momentima programeri AlphaGo-a nisu razumeli

why AlphaGo was doing what it was doing.

zašto je AlphaGo radio to što radi.

And things are moving really fast.

A stvari se odvijaju zaista brzo.

I mean, consider -- in the space of a human lifetime,

Mislim, razmotrite - u okviru ljudskog životnog veka,

computers have gone from a child's game

kompjuteri su prešli od dečje igre

to what's recognized as the pinnacle of strategic thought.

do onoga što se smatra vrhuncem strateškog mišljenja.

What's basically happening

U suštini se dešava to

is computers are going from being like Spock

da kompjuteri prestaju da budu poput Spoka

to being a lot more like Kirk.

i postaju mnogo više nalik Kirku.

(Laughter)

(Smeh)

Right? From pure logic to intuition.

Je li tako? Od čiste logike do intuicije.

Would you cross this bridge?

Da li biste prešli ovaj most?

Most of you are saying, "Oh, hell no!"

Većina vas govori: "Uh, nema šanse!"

(Laughter)

(Smeh)

And you arrived at that decision in a split second.

A stigli ste do te odluke u deliću sekunde.

You just sort of knew that bridge was unsafe.

Prosto ste nekako znali da taj most nije bezbedan.

And that's exactly the kind of intuition

A upravo je to tip intuicije

that our deep-learning systems are starting to develop right now.

koju naši sistemi dubinskog učenja trenutno počinju da razvijaju.

Very soon, you'll literally be able

Veoma brzo ćete bukvalno moći

to show something you've made, you've designed,

da pokažete kompjuteru nešto što ste napravili,

to a computer,

što ste dizajnirali

and it will look at it and say,

i on će to da pogleda i kaže:

"Sorry, homie, that'll never work. You have to try again."

"Izvini, druže, to neće proći. Moraš opet da pokušaš."

Or you could ask it if people are going to like your next song,

Ili ćete moći da ga pitate da li će se ljudima sviđati vaša nova pesma

or your next flavor of ice cream.

ili vaš novi ukus sladoleda.

Or, much more importantly,

Ili, što je još važnije,

you could work with a computer to solve a problem

moći ćete raditi sa kompjuterom da biste rešili problem

that we've never faced before.

s kojim se pre nismo suočili.

For instance, climate change.

Na primer, klimatske promene.

We're not doing a very good job on our own,

Sami ne obavljamo posao naročito dobro,

we could certainly use all the help we can get.

svakako da bi nam koristila sva moguća pomoć.

That's what I'm talking about,

O tome govorim,

technology amplifying our cognitive abilities

o tehnologiji koja naglašava naše kognitivne sposobnosti

so we can imagine and design things that were simply out of our reach

kako bismo mogli da zamislimo i dizajniramo stvari koje nisu dostupne

as plain old un-augmented humans.

nama, prostim starim neproširenim ljudima.

So what about making all of this crazy new stuff

Pa, o čemu se radi kod stvaranja svih tih blesavih novih stvari

that we're going to invent and design?

koje ćemo izumeti i dizajnirati?

I think the era of human augmentation is as much about the physical world

Mislim da se u eri ljudskog proširivanja podjednako radi o fizičkom svetu

as it is about the virtual, intellectual realm.

kao i o virtuelnoj, intelektualnoj sferi.

How will technology augment us?

Kako će nas tehnologija proširiti?

In the physical world, robotic systems.

U fizičkom svetu, biće to robotski sistemi.

OK, there's certainly a fear

U redu, svakako da postoji strah

that robots are going to take jobs away from humans,

da će roboti da oduzmu poslove ljudima,

and that is true in certain sectors.

to je tačno za određene sektore.

But I'm much more interested in this idea

No, mene više zanima zamisao

that humans and robots working together are going to augment each other,

da će ljudi i roboti radeći zajedno proširiti jedni druge,

and start to inhabit a new space.

i počeće da naseljavaju nove prostore.

Ovo je primenjena istraživačka laboratorija u San Francisku,

This is our applied research lab in San Francisco,

where one of our areas of focus is advanced robotics,

gde je napredna robotika jedna od oblasti na koje se fokusiramo,

specifically, human-robot collaboration.

naročito saradnja između ljudi i robota.

And this is Bishop, one of our robots.

A ovo je Bišop, jedan od naših robota.

As an experiment, we set it up

Kao eksperiment, podesili smo ga

to help a person working in construction doing repetitive tasks --

da pomaže osobi koja na građevini obavlja repetitivne poslove -

tasks like cutting out holes for outlets or light switches in drywall.

poslove poput bušenja rupa u gips-kartonu za utičnice ili prekidače za svetla.

(Laughter)

(Smeh)

So, Bishop's human partner can tell what to do in plain English

Dakle, Bišopov ljudski partner može da mu objasni na engleskom

and with simple gestures,

i jednostavnom gestikulacijom,

kind of like talking to a dog,

poput razgovaranja sa psom,

and then Bishop executes on those instructions

a potom Bišop, izvodi ta uputstva

with perfect precision.

savršenom preciznošću.

We're using the human for what the human is good at:

Koristimo ljude za ono u čemu su dobri:

awareness, perception and decision making.

svesnost, percepcija i donošenje odluka.

And we're using the robot for what it's good at:

A koristimo robota za ono u čemu je dobar:

precision and repetitiveness.

preciznost i ponavljanje.

Here's another cool project that Bishop worked on.

Još jedan sjajan projekat na kom je radio Bišop.

The goal of this project, which we called the HIVE,

Cilj ovog projekta, koga smo nazvali HIVE,

was to prototype the experience of humans, computers and robots

bio je da testira iskustvo ljudi, kompjutera i robota

all working together to solve a highly complex design problem.

gde svi rade zajedno kako bi rešili veoma složene dizajnerske probleme.

The humans acted as labor.

Ljudi su služili kao radna snaga.

They cruised around the construction site, they manipulated the bamboo --

Kružili su po gradilištu, rukovali bambusom -

which, by the way, because it's a non-isomorphic material,

koji je, usput, stoga što je neizomorfan materijal,

is super hard for robots to deal with.

veoma težak robotima za rukovanje.

But then the robots did this fiber winding,

No, potom su roboti namotavali ovo vlakno,

which was almost impossible for a human to do.

a to je skoro nemoguće za ljude da urade.

And then we had an AI that was controlling everything.

A potom smo imali VI koja je sve kontrolisala.

It was telling the humans what to do, telling the robots what to do

Govorila je ljudima šta da rade, govorila je robotima šta da rade

and keeping track of thousands of individual components.

i nadgledala hiljade pojedinačnih komponenti.

What's interesting is,

Zanimljivo je

building this pavilion was simply not possible

da je izgradnja ovog paviljona prosto bila nemoguća

without human, robot and AI augmenting each other.

bez ljudi, robota i VI koji proširuju jedni druge.

OK, I'll share one more project. This one's a little bit crazy.

Podeliću sa vama još jedan projekat. Ovaj je malčice blesav.

We're working with Amsterdam-based artist Joris Laarman and his team at MX3D

Radimo sa umetnicima iz Amsterdama, Jorisom Larmanom i njegovom ekipom iz MX3D

to generatively design and robotically print

da bismo generativno dizajnirali i robotski odštampali

the world's first autonomously manufactured bridge.

prvi u svetu autonomno proizveden most.

So, Joris and an AI are designing this thing right now, as we speak,

Dakle, Joris i VI baš dok govorimo dizajniraju taj objekat

in Amsterdam.

u Amsterdamu.

And when they're done, we're going to hit "Go,"

A kad završe, pritisnućemo "Kreni"

and robots will start 3D printing in stainless steel,

i roboti će početi 3D tehnologijom da štampaju nerđajući čelik

and then they're going to keep printing, without human intervention,

i nastaviće da štampaju bez ljudskog uplitanja,

until the bridge is finished.

sve dok završe most.

So, as computers are going to augment our ability

Pa, kako će roboti da prošire našu sposobnost

to imagine and design new stuff,

zamišljanja i dizajniranja novih stvari,

robotski sistemi će da nam pomognu da gradimo i pravimo stvari

robotic systems are going to help us build and make things

that we've never been able to make before.

koje nismo mogli da pravimo pre.

But what about our ability to sense and control these things?

No, šta je s našom sposobnošću da osetimo i kontrolišemo ove stvari?

What about a nervous system for the things that we make?

Kako bi bilo da imamo nervni sistem kod stvari koje pravimo?

Our nervous system, the human nervous system,

Naš nervni sistem, ljudski nervni sistem,

tells us everything that's going on around us.

saopštava nam o svemu što se dešava oko nas.

But the nervous system of the things we make is rudimentary at best.

Međutim, nervni sitem stvari koje pravimo je u najboljem slučaju prost.

For instance, a car doesn't tell the city's public works department

Na primer, automobil ne saopštava gradskom odseku za javne delatnosti

that it just hit a pothole at the corner of Broadway and Morrison.

da je upravo udario u rupu na uglu ulice Brodvej i Morison.

A building doesn't tell its designers

Građevina ne sopštava njenim dizajnerima

whether or not the people inside like being there,

da li ljudi unutar nje vole da budu tu,

and the toy manufacturer doesn't know

a proizvođač lutaka ne zna

if a toy is actually being played with --

da li se zaista igraju njihovim igračkama -

how and where and whether or not it's any fun.

kako, gde i da li su ili nisu zabavne.

Look, I'm sure that the designers imagined this lifestyle for Barbie

Vidite, siguran sam da su dizajneri zamislili ovakav stil života za barbiku

when they designed her.

kada su je dizajnirali.

(Laughter)

(Smeh)

But what if it turns out that Barbie's actually really lonely?

Ali šta ako se ispostavi da je barbi zapravo veoma usamljena?

(Laughter)

(Smeh)

If the designers had known

Kad bi dizajneri znali

what was really happening in the real world

šta se zaista dešava u stvarnom svetu

with their designs -- the road, the building, Barbie --

njihovim dizajnima - putevima, građevinama, barbikama -

mogli bi da koriste to znanje

they could've used that knowledge to create an experience

da stvore bolja iskustva za korisnike.

that was better for the user.

Nedostaje nervni sistem

What's missing is a nervous system

connecting us to all of the things that we design, make and use.

koji bi nas povezao sa svim stvarima koje dizajniramo, pravimo i koristimo.

What if all of you had that kind of information flowing to you

Šta kad biste svi vi imali dotok takvog oblika informacija

from the things you create in the real world?

od stvari koje stvarate u stvarnom svetu?

With all of the stuff we make,

Uz sve što pravimo,

we spend a tremendous amount of money and energy --

trošimo ogromne količine novca i energije -

in fact, last year, about two trillion dollars --

zapravo, prošle godine, skoro dva biliona dolara -

convincing people to buy the things we've made.

ubeđujući ljude da kupe stvari koje pravimo.

But if you had this connection to the things that you design and create

Ali kad biste imali ovakvu vezu sa stvarima koje dizajnirate i stvarate

after they're out in the real world,

kada se one nađu u stvarnom svetu,

after they've been sold or launched or whatever,

nakon što ih prodaju ili lansiraju ili šta god,

we could actually change that,

zapravo bismo mogli to da promenimo

and go from making people want our stuff,

i da se pomerimo od ubeđivanja ljudi da vole naše stvari

to just making stuff that people want in the first place.

do prosto pravljenja stvari koje su ljudima prvenstveno potrebne.

The good news is, we're working on digital nervous systems

Dobre vesti su da radimo na digitalnom nervnom sistemu

that connect us to the things we design.

koji bi nas povezao sa stvarima koje dizajniramo.

We're working on one project

Radimo na jednom projektu

with a couple of guys down in Los Angeles called the Bandito Brothers

sa nekoliko momaka iz Los Anđelesa, koji sebe nazivaju Bandito Bradersima,

and their team.

i njihovom ekipom.

And one of the things these guys do is build insane cars

A jedna od stvari koju ovi momci rade je izgradnja ludih automobila

that do absolutely insane things.

koji rade potpuno lude stvari.

These guys are crazy --

Ovi momci su sumanuti -

(Laughter)

(Smeh)

in the best way.

na najbolji način.

And what we're doing with them

A mi s njima radimo

is taking a traditional race-car chassis

tako što uzmemo tradicionalnu šasiju za trkačka auta

and giving it a nervous system.

i ugrađujemo nervni sistem u nju.

So we instrumented it with dozens of sensors,

Dakle, opskrbili smo je desetinama senzora,

put a world-class driver behind the wheel,

stavili smo iza volana vozača svetske klase,

took it out to the desert and drove the hell out of it for a week.

odvezli auto u pustinju vozali ga do besvesti sedam dana.

And the car's nervous system captured everything

A nervni sistem automobila je zabeležio

that was happening to the car.

sve što se dešavalo automobilu.

We captured four billion data points;

Zabeležili smo četiri milijarde jedinica podataka;

all of the forces that it was subjected to.

sve sile kojima je bilo izloženo.

And then we did something crazy.

A potom smo uradili nešto ludo.

We took all of that data,

Uzeli smo sve podatke

and plugged it into a generative-design AI we call "Dreamcatcher."

i priključili ih na VI genrativnog dizajna koju nazivamo "Dreamcatcher".

So what do get when you give a design tool a nervous system,

Pa, šta dobijate kada dizajnerskom oruđu date nervni sistem

and you ask it to build you the ultimate car chassis?

i zatražite od njega da vam sagradi najbolju šasiju za auto?

You get this.

Dobijate ovo.

This is something that a human could never have designed.

Ovo je nešto što ljudi nikad ne bi mogli da dizajniraju.

Except a human did design this,

Samo što ljudi ovo jesu dizajnirali,

but it was a human that was augmented by a generative-design AI,

ali to su bili ljudi prošireni VI generativnog dizajna,

a digital nervous system

digitalnim nervnim sistemom

and robots that can actually fabricate something like this.

i robotima koji zapravo mogu da proizvedu nešto ovakvo.

So if this is the future, the Augmented Age,

Pa, ako je ovo budućnost, prošireno doba,

and we're going to be augmented cognitively, physically and perceptually,

a mi ćemo da budemo prošireni kognitivno, fizički i čulno,

what will that look like?

kako će to da izgleda?

What is this wonderland going to be like?

Kako će da izgleda ova zemlja čuda?

I think we're going to see a world

Mislim da ćemo da vidimo svet

where we're moving from things that are fabricated

u kom se udaljavamo od stvari koje se proizvode

to things that are farmed.

do stvari koje se obrađuju.

Where we're moving from things that are constructed

U kom se udaljavamo od stvari koje se konstruišu

to that which is grown.

do onih koje se gaje.

We're going to move from being isolated

Udaljićemo se od izolacije

to being connected.

ka povezanosti.

And we'll move away from extraction

I udaljićemo se od kopanja

to embrace aggregation.

ka sakupljanju.

I also think we'll shift from craving obedience from our things

Mislim i da ćemo se pomeriti od žudnje da nam stvari budu poslušne

to valuing autonomy.

ka cenjenju autonomije.

Thanks to our augmented capabilities,

Zahvaljujući našim proširenim mogućnostima,

our world is going to change dramatically.

naš svet će da se drastično izmeni.

We're going to have a world with more variety, more connectedness,

Imaćemo svet s više izbora, više povezanosti,

more dynamism, more complexity,

dinamičniji, složeniji

more adaptability and, of course,

prilagodljiviji i, naravno,

more beauty.

lepši.

The shape of things to come

Obrisi budućnosti

will be unlike anything we've ever seen before.

neće da liče na bilo šta što smo videli do sad.

Why?

Zašto?

Because what will be shaping those things is this new partnership

Jer će sve ovo da oblikuje novo partnerstvo

between technology, nature and humanity.

između tehnologije, prirode i čovečanstva.

That, to me, is a future well worth looking forward to.

Za mene, to je budućnost koju vredi iščekivati.

Thank you all so much.

Mnogo vam hvala.

(Applause)

(Aplauz)