Danny Hillis: Back to the future (of 1994)

80,708 views ・ 2012-02-03

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Traducător: anca tincu Corector: Aura Raducan
00:15
Because I usually take the role
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Pentru ca imi asum de obicei rolul
00:18
of trying to explain to people
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de a incerca sa explic oamenilor
00:20
how wonderful the new technologies
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cat de extraordinare vor fi noile tehnologii
00:23
that are coming along are going to be,
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care vor aparea
00:25
and I thought that, since I was among friends here,
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si m-am gandit ca, fiind intre prieteni aici,
00:28
I would tell you what I really think
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sa va spun ce cred cu adevarat
00:32
and try to look back and try to understand
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si sa incerc sa privesc inapoi si sa inteleg
00:34
what is really going on here
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ce se intampla de fapt aici
00:37
with these amazing jumps in technology
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cu aceste salturi extraordinare in tehnologie
00:42
that seem so fast that we can barely keep on top of it.
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care se deruleaza asa de repede incat abia mai putem tine pasul cu ele.
00:45
So I'm going to start out
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Asa ca voi incepe
00:47
by showing just one very boring technology slide.
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prin a arata o prezentare despre tehnologie.
00:50
And then, so if you can just turn on the slide that's on.
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Si apoi, daca puteti da drumul prezentarii.
00:56
This is just a random slide
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Aceasta prezentare este
00:58
that I picked out of my file.
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una aleasa la intamplare.
01:00
What I want to show you is not so much the details of the slide,
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Ceea ce vreau sa va arat nu sunt atat detaliile prezentarii,
01:03
but the general form of it.
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ci forma ei generala.
01:05
This happens to be a slide of some analysis that we were doing
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Aceasta prezentare se refera la o analiza facuta
01:08
about the power of RISC microprocessors
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despre puterea microprocesoarelor RISC
01:11
versus the power of local area networks.
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contra puterii retelelor locale.
01:14
And the interesting thing about it
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Si ce este interesant la prezentare
01:16
is that this slide,
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este ca aceasta,
01:18
like so many technology slides that we're used to,
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ca multe altele de felul ei cu care suntem obisnuiti,
01:21
is a sort of a straight line
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este o linie dreapta
01:23
on a semi-log curve.
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intr-un grafic semilogaritmic.
01:25
In other words, every step here
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Cu alte cuvinte, fiecare pas de aici
01:27
represents an order of magnitude
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reprezinta o magnitudine
01:29
in performance scale.
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pe scara performantei.
01:31
And this is a new thing
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Si acesta este un lucru nou
01:33
that we talk about technology
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sa vorbim despre tehnologie
01:35
on semi-log curves.
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pe grafice semilogaritmice.
01:37
Something really weird is going on here.
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`
01:39
And that's basically what I'm going to be talking about.
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Si despre asta voi vorbi de fapt.
01:42
So, if you could bring up the lights.
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Deci, daca puteti lumina sus.
01:47
If you could bring up the lights higher,
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Daca puteti lumina mai sus,
01:49
because I'm just going to use a piece of paper here.
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pentru ca voi folosi o bucata de hartie.
01:52
Now why do we draw technology curves
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Acum de ce desenam grafice tehnologice
01:54
in semi-log curves?
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in grafice semilogaritmice?
01:56
Well the answer is, if I drew it on a normal curve
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Ei bine raspunsul este, daca as desena pe un grafic normal
01:59
where, let's say, this is years,
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unde, sa spunem, acestia sunt anii,
02:01
this is time of some sort,
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acesta este un fel de timp,
02:03
and this is whatever measure of the technology
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si aceasta este masura tehnologiei
02:06
that I'm trying to graph,
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pe care incerc sa o desenez,
02:09
the graphs look sort of silly.
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diagramele par stupide.
02:12
They sort of go like this.
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Arata cam asa.
02:15
And they don't tell us much.
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Si nu ne spun prea multe.
02:18
Now if I graph, for instance,
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Acum daca desenez, de exemplu,
02:21
some other technology, say transportation technology,
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alte tehnologii, de exemplu tehnologia transportului,
02:23
on a semi-log curve,
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pe un tabel semilogaritmic,
02:25
it would look very stupid, it would look like a flat line.
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ar arata foarte stupid, ca o linie dreapta.
02:28
But when something like this happens,
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Dar cand se intampla ceva de genul acesta,
02:30
things are qualitatively changing.
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calitatea lucrurilor se imbunatateste.
02:32
So if transportation technology
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Deci daca tehnologia transportului
02:34
was moving along as fast as microprocessor technology,
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s-ar dezvolta la fel de repede ca cea a microprocesoarelor,
02:37
then the day after tomorrow,
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atunci poimaine,
02:39
I would be able to get in a taxi cab
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as putea sa ma urc intr-un taxi
02:41
and be in Tokyo in 30 seconds.
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si sa ajung in Tokio in 30 de secunde.
02:43
It's not moving like that.
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Nu se intampla asa.
02:45
And there's nothing precedented
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Si nu exista precedent
02:47
in the history of technology development
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in istoria dezvoltarii tehnologice
02:49
of this kind of self-feeding growth
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a unei astfel de auto-crestere
02:51
where you go by orders of magnitude every few years.
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unde vorbim de magnitudine la fiecare cativa ani.
02:54
Now the question that I'd like to ask is,
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Acum intrebarea mea este,
02:57
if you look at these exponential curves,
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daca te uiti la aceste grafice exponentiale
03:00
they don't go on forever.
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nu continua la nesfarsit.
03:03
Things just can't possibly keep changing
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Lucrurile nu pot fi intr-o continua schimbare
03:06
as fast as they are.
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in ritmul alert in care o fac.
03:08
One of two things is going to happen.
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Unul din doua lucruri se va intampla.
03:11
Either it's going to turn into a sort of classical S-curve like this,
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Fie se va transforma intr-un grafic in forma de S ca acesta,
03:15
until something totally different comes along,
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pana cand apare ceva cu totul diferit,
03:19
or maybe it's going to do this.
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sau poate va face asta.
03:21
That's about all it can do.
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Asta este cam tot ce poate face.
03:23
Now I'm an optimist,
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Eu sunt un optimist,
03:25
so I sort of think it's probably going to do something like that.
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deci cred ca va fi cam asa.
03:28
If so, that means that what we're in the middle of right now
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Daca este asa, suntem in mijlocul
03:31
is a transition.
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unei tranzitii.
03:33
We're sort of on this line
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Suntem pe aceasta linie
03:35
in a transition from the way the world used to be
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in tranzitia dintre cum era lumea
03:37
to some new way that the world is.
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si noua ei forma.
03:40
And so what I'm trying to ask, what I've been asking myself,
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Si ceea ce incerc sa intreb, ce m-am intrebat pe mine insumi,
03:43
is what's this new way that the world is?
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este cum este aceasta noua lume?
03:46
What's that new state that the world is heading toward?
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Care este acea stare noua catre care se indreapta lumea?
03:49
Because the transition seems very, very confusing
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Pentru ca tranzitia pare foarte derutanta
03:52
when we're right in the middle of it.
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cand suntem exact in mijlocul ei.
03:54
Now when I was a kid growing up,
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Cand eram copil,
03:57
the future was kind of the year 2000,
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viitorul era ca anul 2000,
04:00
and people used to talk about what would happen in the year 2000.
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si oamenii vorbeau despre ce se va intampla in 2000.
04:04
Now here's a conference
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Aceasta este o conferinta
04:06
in which people talk about the future,
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in care oamenii vorbesc despre viitor,
04:08
and you notice that the future is still at about the year 2000.
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si remarcati ca viitorul face referire tot la anul 2000.
04:11
It's about as far as we go out.
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Cam atat de departe mergem.
04:13
So in other words, the future has kind of been shrinking
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Cu alte cuvinte viitorul s-a cam micsorat
04:16
one year per year
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an dupa an
04:19
for my whole lifetime.
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pe parcursul intregii mele vieti.
04:22
Now I think that the reason
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Cred ca motivul
04:24
is because we all feel
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este ca simtim cu totii
04:26
that something's happening there.
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ca se va intampla ceva acolo.
04:28
That transition is happening. We can all sense it.
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Acea tranzitie se petrece. Cu totii o simtim.
04:30
And we know that it just doesn't make too much sense
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Si stim ca nu are prea mult sens
04:32
to think out 30, 50 years
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sa ne gandim peste 30, 50 de ani
04:34
because everything's going to be so different
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pentru ca totul va fi asa de diferit
04:37
that a simple extrapolation of what we're doing
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ca o simpla extrapolare a ceea ce facem
04:39
just doesn't make any sense at all.
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nu are nici un sens.
04:42
So what I would like to talk about
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Deci as dori sa vorbesc despre
04:44
is what that could be,
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ce ar putea fi,
04:46
what that transition could be that we're going through.
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ce ar putea fi acea tranzitie prin ceea ce trecem.
04:49
Now in order to do that
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Pentru a putea face asta
04:52
I'm going to have to talk about a bunch of stuff
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va trebui sa vorbesc despre multe lucruri
04:54
that really has nothing to do
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care nu au de a face
04:56
with technology and computers.
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cu tehnologia si computerele.
04:58
Because I think the only way to understand this
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Deoarece cred ca singurul mod de a intelege asta
05:00
is to really step back
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este sa faci un pas inapoi
05:02
and take a long time scale look at things.
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si sa privesti lucrurile prin dimensiunea timpului.
05:04
So the time scale that I would like to look at this on
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Deci scara temporala la care as dori sa privim
05:07
is the time scale of life on Earth.
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este aceea a vietii pe pamant.
05:13
So I think this picture makes sense
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Deci cred ca aceasta imagine are sens
05:15
if you look at it a few billion years at a time.
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daca facem referire la ea odata la cateva miliarde de ani.
05:19
So if you go back
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Deci daca mergi inapoi
05:21
about two and a half billion years,
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acum doua miliarde si jumatate de ani,
05:23
the Earth was this big, sterile hunk of rock
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Pamantul era o bucata mare de roca sterila
05:26
with a lot of chemicals floating around on it.
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cu multe chimicale plutind in jurul sau.
05:29
And if you look at the way
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Iar daca privim felul in care
05:31
that the chemicals got organized,
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chimicalele s-au organizat,
05:33
we begin to get a pretty good idea of how they do it.
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incepem sa intelegem destul de bine cum o fac.
05:36
And I think that there's theories that are beginning to understand
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Si cred ca sunt teorii care incep sa inteleaga
05:39
about how it started with RNA,
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cum a inceput RNA
05:41
but I'm going to tell a sort of simple story of it,
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dar voi spune o poveste simpla despre asta,
05:44
which is that, at that time,
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si anume, ca la acea data
05:46
there were little drops of oil floating around
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erau picaturi mici de ulei care pluteau
05:49
with all kinds of different recipes of chemicals in them.
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cu tot felul de diferite retete chimice in ele.
05:52
And some of those drops of oil
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Si unele dintre acele stropi de ulei
05:54
had a particular combination of chemicals in them
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aveau o combinatie de chimicale mai deosebita
05:56
which caused them to incorporate chemicals from the outside
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care a cauzat incorporarea chimicalelor exterioare
05:59
and grow the drops of oil.
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si cresterea picaturilor de ulei.
06:02
And those that were like that
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Si cele care erau asa
06:04
started to split and divide.
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au inceput sa se separe si sa se divida.
06:06
And those were the most primitive forms of cells in a sense,
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Si acelea au fost cele mai primitive celule intr-un fel,
06:09
those little drops of oil.
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acele picaturi de ulei.
06:11
But now those drops of oil weren't really alive, as we say it now,
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Dar acele picaturi nu erau cu adevarat in viata, cum spunem acum,
06:14
because every one of them
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pentru ca fiecare dintre ele
06:16
was a little random recipe of chemicals.
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era o reteta de chimicale aleatorie.
06:18
And every time it divided,
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Si ori de cate ori se diviza,
06:20
they got sort of unequal division
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aveau o diviziune inegala
06:23
of the chemicals within them.
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a chimicalelor din interior.
06:25
And so every drop was a little bit different.
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Deci fiecare picatura era putin diferita.
06:28
In fact, the drops that were different in a way
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De fapt picaturile care erau diferite intr-un fel
06:30
that caused them to be better
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care le facea sa fie mai bune
06:32
at incorporating chemicals around them,
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la incorporarea chimicalelor din jurul lor,
06:34
grew more and incorporated more chemicals and divided more.
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cresteau mai mult si incorporau mai multe chimicale divizandu-se mai mult.
06:37
So those tended to live longer,
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Deci cele mai longevive,
06:39
get expressed more.
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sunt mai exprimate.
06:42
Now that's sort of just a very simple
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Acesta este o simpla
06:45
chemical form of life,
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forma chimica de viata,
06:47
but when things got interesting
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dar lucrurile au devenit interesante
06:50
was when these drops
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cand aceste picaturi
06:52
learned a trick about abstraction.
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au invatat ce inseamna abstractia.
06:55
Somehow by ways that we don't quite understand,
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Cumva, prin moduri pe care nu le prea intelegem,
06:58
these little drops learned to write down information.
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aceste picaturi au invatat sa scrie informatia.
07:01
They learned to record the information
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Au invatat sa inregistreze informatia
07:03
that was the recipe of the cell
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care era reteta celulei
07:05
onto a particular kind of chemical
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pe o anume chimicala
07:07
called DNA.
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numita ADN.
07:09
So in other words, they worked out,
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Cu alte cuvinte, au creat,
07:11
in this mindless sort of evolutionary way,
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in evolutia lor haotica,
07:14
a form of writing that let them write down what they were,
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o forma a scrisului care le permite sa transmita ce erau
07:17
so that that way of writing it down could get copied.
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fiind posibila copierea.
07:20
The amazing thing is that that way of writing
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Uimitor este faptul ca acea forma de scriere
07:23
seems to have stayed steady
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pare sa fi ramas stabila
07:25
since it evolved two and a half billion years ago.
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de la evolutia sa de acum doua miliarde si jumatate de ani.
07:27
In fact the recipe for us, our genes,
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De fapt reteta genelor noastre,
07:30
is exactly that same code and that same way of writing.
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este exact acelasi cod scris in acelasi fel.
07:33
In fact, every living creature is written
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In fapt codul fiecarei creaturi este scris
07:36
in exactly the same set of letters and the same code.
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cu aceleasi litere care sunt la fel.
07:38
In fact, one of the things that I did
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De fapt, unul dintre lucrurile pe care le-am facut,
07:40
just for amusement purposes
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doar pentru amuzament,
07:42
is we can now write things in this code.
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este ca putem sa scriem lucruri in acest cod.
07:44
And I've got here a little 100 micrograms of white powder,
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Am aici 100 micrograme de pudra alba,
07:50
which I try not to let the security people see at airports.
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pe care incerc sa o ascund de paza din aeroport.
07:54
(Laughter)
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(hohote de ras)
07:56
But this has in it --
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Dar aceasta contine--
07:58
what I did is I took this code --
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ce am facut a fost sa iau acest cod--
08:00
the code has standard letters that we use for symbolizing it --
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codul are litere standard folosite pentru a-l simboliza--
08:03
and I wrote my business card onto a piece of DNA
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si mi-am scris cartea de vizita pe o bucata de ADN
08:06
and amplified it 10 to the 22 times.
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si am amplificat-o de 10 pana la 22 de ori.
08:09
So if anyone would like a hundred million copies of my business card,
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Daca doreste cineva o suta de milioane de copii ale cartii mele de vizita,
08:12
I have plenty for everyone in the room,
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am destule pentru toti cei de aici,
08:14
and, in fact, everyone in the world,
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si pentru intreaga populatie,
08:16
and it's right here.
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chiar aici.
08:19
(Laughter)
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(hohote de ras)
08:26
If I had really been a egotist,
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Daca as fi fost intr-adevar un egocentric,
08:28
I would have put it into a virus and released it in the room.
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l-as fi pus intr-un virus si l-as fi eliberat in incapere.
08:31
(Laughter)
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(hohote de ras)
08:39
So what was the next step?
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Deci care era urmatorul pas?
08:41
Writing down the DNA was an interesting step.
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Scrierea ADN-ului a fost interesanta.
08:43
And that caused these cells --
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Si a dus la aparitia acestor celule--
08:45
that kept them happy for another billion years.
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lucru care le-a bucurat inca un miliard de ani.
08:47
But then there was another really interesting step
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Dar a existat un alt pas foarte interesant
08:49
where things became completely different,
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cand lucrurile s-au schimbat complet,
08:52
which is these cells started exchanging and communicating information,
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adica momentul in care celulele au inceput sa comunice si sa faca schimb de informatii,
08:55
so that they began to get communities of cells.
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creand comunitati de celule.
08:57
I don't know if you know this,
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Nu stiu daca stiti,
08:59
but bacteria can actually exchange DNA.
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dar bacteriile pot chiar si sa schimbe ADN-ul.
09:01
Now that's why, for instance,
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De aceea, spre exemplu,
09:03
antibiotic resistance has evolved.
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rezistenta la antibiotice a evoluat.
09:05
Some bacteria figured out how to stay away from penicillin,
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Unele bacterii si-au dat seama cum sa se fereasca de penicilina,
09:08
and it went around sort of creating its little DNA information
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si a inceput sa isi creeze propria mini informatie ADN
09:11
with other bacteria,
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cu alte bacterii,
09:13
and now we have a lot of bacteria that are resistant to penicillin,
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avand acum multe bacterii rezistente la penicilina,
09:16
because bacteria communicate.
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pentru ca bacteriile comunica.
09:18
Now what this communication allowed
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Aceasta comunicare a permis
09:20
was communities to form
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formarea de comunitati
09:22
that, in some sense, were in the same boat together;
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aflate , oarecum, in aceeasi barca
09:24
they were synergistic.
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fiind sinergetice.
09:26
So they survived
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Deci au supravietuit
09:28
or they failed together,
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sau au dat gres impreuna,
09:30
which means that if a community was very successful,
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adica daca o comunitate avea mult succes,
09:32
all the individuals in that community
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toti indivizii acelei comunitati
09:34
were repeated more
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se multiplicau
09:36
and they were favored by evolution.
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si erau favorizati de evolutie.
09:39
Now the transition point happened
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Punctul de tranzitie a urmat
09:41
when these communities got so close
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cand aceste comunitati s-au apropiat asa de mult
09:43
that, in fact, they got together
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incat, de fapt, s-au reunit
09:45
and decided to write down the whole recipe for the community
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si au decis sa scrie intreaga reteta pentru comunitate
09:48
together on one string of DNA.
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pe un singur ADN.
09:51
And so the next stage that's interesting in life
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Urmatorul pas interesant al vietii
09:53
took about another billion years.
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a durat un alt miliard de ani.
09:55
And at that stage,
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In aceasta etapa,
09:57
we have multi-cellular communities,
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avem comunitati multi-celulare,
09:59
communities of lots of different types of cells,
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comunitati cu multe tipuri diferite de celule,
10:01
working together as a single organism.
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care lucreaza impreuna ca un singur organism.
10:03
And in fact, we're such a multi-cellular community.
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Si de fapt, suntem o astfel de comunitate multicelulara.
10:06
We have lots of cells
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Avem multe celule
10:08
that are not out for themselves anymore.
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care nu mai sunt independente.
10:10
Your skin cell is really useless
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Celula pielii este nefolositoare
10:13
without a heart cell, muscle cell,
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fara o celula a inimii, a muschilor,
10:15
a brain cell and so on.
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a creierului si asa mai departe.
10:17
So these communities began to evolve
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Deci aceste comunitati au inceput sa evolueze
10:19
so that the interesting level on which evolution was taking place
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in asa fel incat nivelul interesant la care lua loc evolutia
10:22
was no longer a cell,
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nu mai era celula,
10:24
but a community which we call an organism.
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.
10:28
Now the next step that happened
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Urmatoarea schimbare a avut loc
10:30
is within these communities.
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in aceste comunitati.
10:32
These communities of cells,
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Aceste comunitati de celule,
10:34
again, began to abstract information.
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au inceput din nou sa extraga informatii.
10:36
And they began building very special structures
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Si au inceput sa construiasca structuri foarte speciale
10:39
that did nothing but process information within the community.
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care nu faceau nimic in afara procesarii informatiilor in comunitate.
10:42
And those are the neural structures.
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Si acelea sunt structurile neurologice.
10:44
So neurons are the information processing apparatus
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Deci neuronii reprezinta dispozitivul procesator de informatie
10:47
that those communities of cells built up.
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construit de comunitatile de celule.
10:50
And in fact, they began to get specialists in the community
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Si au inceput sa aiba specialisti in comunitate
10:52
and special structures
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si structuri speciale
10:54
that were responsible for recording,
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care erau responsabile cu inregistrarea,
10:56
understanding, learning information.
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intelegerea, invatarea informatiilor.
10:59
And that was the brains and the nervous system
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Si acelea reprezentau creierul si sistemul nervos
11:01
of those communities.
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al acelor comunitati.
11:03
And that gave them an evolutionary advantage.
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Acest lucru le-a dat un avantaj evolutionar.
11:05
Because at that point,
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Deoarece in acest punct,
11:08
an individual --
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un individ--
11:11
learning could happen
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procesul de invatare putea avea loc
11:13
within the time span of a single organism,
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in intervalul de timp al unui singur organism,
11:15
instead of over this evolutionary time span.
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in loc de intervalul de timp al evolutiei.
11:18
So an organism could, for instance,
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Deci un organism, ar putea spre exemplu,
11:20
learn not to eat a certain kind of fruit
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sa invete sa nu manance un anumit fel de fruct
11:22
because it tasted bad and it got sick last time it ate it.
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pentru ca avea gust rau si l-a imbolnavit data trecuta cand l-a mancat.
11:26
That could happen within the lifetime of a single organism,
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Acel lucru s-ar putea intampla de-a lungul vietii unui singur organism,
11:29
whereas before they'd built these special information processing structures,
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pe cand inainte ar fi construit aceste structuri speciale de procesare a informatiilor,
11:33
that would have had to be learned evolutionarily
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care ar fi trebuit sa fie invatate evolutionar
11:35
over hundreds of thousands of years
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de-a lungul a sute de mii de ani
11:38
by the individuals dying off that ate that kind of fruit.
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de catre indivizii care au murit pentru ca au mancat acel tip de fruct.
11:41
So that nervous system,
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Deci acel sistem nervos,
11:43
the fact that they built these special information structures,
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faptul ca au construit aceste structuri speciale de informatie,
11:46
tremendously sped up the whole process of evolution.
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a grabit mult intreg procesul de evolutie.
11:49
Because evolution could now happen within an individual.
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Pentru ca evolutia se putea manifesta acum in individ.
11:52
It could happen in learning time scales.
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S-ar putea intampla in perioade de invatare
11:55
But then what happened
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Dar ce s-a petrecut apoi
11:57
was the individuals worked out,
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a fost faptul ca indivizii au creat,
11:59
of course, tricks of communicating.
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desigur, trucuri pentru a comunica.
12:01
And for example,
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Si spre exemplu,
12:03
the most sophisticated version that we're aware of is human language.
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cea mai sofisticata versiune pe care o cunoastem este limbajul uman.
12:06
It's really a pretty amazing invention if you think about it.
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Este de fapt o inventie destul de remarcabila daca te gandesti.
12:09
Here I have a very complicated, messy,
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Am o foarte complicata, dezordonata,
12:11
confused idea in my head.
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confuza idee in cap.
12:14
I'm sitting here making grunting sounds basically,
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Stau aici mormaind practic,
12:17
and hopefully constructing a similar messy, confused idea in your head
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si sper sa creez o idee la fel de dezordonata si confuza in capul vostru
12:20
that bears some analogy to it.
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care are o oarecare analogie.
12:22
But we're taking something very complicated,
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Dar luam ceva foarte complicat,
12:24
turning it into sound, sequences of sounds,
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il transformam in sunete, secvente de sunete,
12:27
and producing something very complicated in your brain.
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si producem ceva foarte complicat in creierul tau.
12:31
So this allows us now
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Deci asta ne permite acum
12:33
to begin to start functioning
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sa incepem sa functionam
12:35
as a single organism.
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ca un singur organism.
12:38
And so, in fact, what we've done
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Ceea ce am facut, de fapt,
12:41
is we, humanity,
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este ca noi umanitatea,
12:43
have started abstracting out.
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am inceput sa extragem.
12:45
We're going through the same levels
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trecem prin aceleasi etape
12:47
that multi-cellular organisms have gone through --
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prin care au trecut si organismele multi-celulare--
12:49
abstracting out our methods of recording,
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prin crearea propriilor metode de inregistrare,
12:52
presenting, processing information.
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prezentare, procesare de informatii.
12:54
So for example, the invention of language
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Deci, spre exemplu, inventia limbajului
12:56
was a tiny step in that direction.
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a fost un pas minuscul in acea directie.
12:59
Telephony, computers,
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Telefonia, computerele,
13:01
videotapes, CD-ROMs and so on
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casetele video, CD-ROMurile, si asa mai departe
13:04
are all our specialized mechanisms
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sunt toate mecanismele noastre specializate
13:06
that we've now built within our society
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pe care le-am construit in societatea noastra
13:08
for handling that information.
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pentru a lucra cu acea informatie.
13:10
And it all connects us together
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Si ne conecteaza unii cu altii
13:13
into something
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in ceva
13:15
that is much bigger
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care este mult mai mare
13:17
and much faster
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si mult mai rapid
13:19
and able to evolve
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si capabil de evolutie
13:21
than what we were before.
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decat ce am fost inainte.
13:23
So now, evolution can take place
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Asa ca acum evolutia poate avea loc
13:25
on a scale of microseconds.
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pe o scara a microsecundelor.
13:27
And you saw Ty's little evolutionary example
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Si ati vazut micul exemplu evolutionar al lui Ty
13:29
where he sort of did a little bit of evolution
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unde a exersat putin evolutia
13:31
on the Convolution program right before your eyes.
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in cadrul programului Convolution sub privirea noastra.
13:34
So now we've speeded up the time scales once again.
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Si am accelerat scara temporala din nou.
13:37
So the first steps of the story that I told you about
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Primii pasi ai povestii pe care tocmai v-am spus-o
13:39
took a billion years a piece.
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au durat un miliard de ani fiecare.
13:41
And the next steps,
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Si urmatorii pasi,
13:43
like nervous systems and brains,
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cum ar fi sistemele nervoase si creierele
13:45
took a few hundred million years.
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au durat cateva sute de milioane de ani.
13:47
Then the next steps, like language and so on,
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Asa ca urmatorii pasi, ca limba si altele,
13:50
took less than a million years.
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au durat mai putin de un milion de ani.
13:52
And these next steps, like electronics,
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Si acesti pasi care urmeaza precum electronica,
13:54
seem to be taking only a few decades.
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par sa dureze doar cateva decenii.
13:56
The process is feeding on itself
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Procesul se hraneste din sine insusi
13:58
and becoming, I guess, autocatalytic is the word for it --
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si devine, cred, autocatalitic este cuvantul corect--
14:01
when something reinforces its rate of change.
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cand ceva isi consolideaza modul de dezvoltare.
14:04
The more it changes, the faster it changes.
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Cu cat se schimba mai mult cu atat se schimba mai repede.
14:07
And I think that that's what we're seeing here in this explosion of curve.
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Si cred ca asta vedem aici in explozia acestei diagrame.
14:10
We're seeing this process feeding back on itself.
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Vedem cum acest proces se autodezvolta.
14:13
Now I design computers for a living,
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Eu proiectez computere ca meserie,
14:16
and I know that the mechanisms
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si stiu ca mecanismele
14:18
that I use to design computers
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pe care le folosesc pentru a proiecta computere
14:21
would be impossible
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nu ar putea exista
14:23
without recent advances in computers.
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fara descoperirile recente in materie de computere.
14:25
So right now, what I do
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Deci ce fac acum
14:27
is I design objects at such complexity
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este sa proiectez obiecte de asa o complexitate
14:30
that it's really impossible for me to design them in the traditional sense.
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incat este imposibil ca eu sa le proiectez in sensul traditional.
14:33
I don't know what every transistor in the connection machine does.
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Nu stiu ce face fiecare tranzistor al masinariei.
14:37
There are billions of them.
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Sunt miliarde.
14:39
Instead, what I do
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In schimb, ceea ce fac
14:41
and what the designers at Thinking Machines do
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si ce fac proiectantii de la Thinking Machines
14:44
is we think at some level of abstraction
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este sa gandim la un nivel abstract
14:46
and then we hand it to the machine
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si apoi lasam totul pe mana masinariei
14:48
and the machine takes it beyond what we could ever do,
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si aceasta duce totul la un punct mult mai indepartat decat am putea noi sa o facem vreodata,
14:51
much farther and faster than we could ever do.
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mai departe si mai repede decat am putea noi s-o facem.
14:54
And in fact, sometimes it takes it by methods
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Si de fapt uneori o face prin metode
14:56
that we don't quite even understand.
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pe care nu le prea intelegem.
14:59
One method that's particularly interesting
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O metoda deosebit de interesanta
15:01
that I've been using a lot lately
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pe care o folosesc mult in ultimul timp
15:04
is evolution itself.
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este insasi evolutia.
15:06
So what we do
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Ceea ce facem
15:08
is we put inside the machine
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este sa punem in interiorul masinariei
15:10
a process of evolution
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un proces de evolutie
15:12
that takes place on the microsecond time scale.
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care are loc in timpul unei microsecunde.
15:14
So for example,
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Deci spre exemplu,
15:16
in the most extreme cases,
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in cele mai extreme cazuri,
15:18
we can actually evolve a program
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putem evolua un program
15:20
by starting out with random sequences of instructions.
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incepand cu secvente de instructiuni aleatorii.
15:24
Say, "Computer, would you please make
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Sa spunem," Computer, vrei sa faci te rog
15:26
a hundred million random sequences of instructions.
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o suta de milioane de succesiuni de instructiuni aleatorii.
15:29
Now would you please run all of those random sequences of instructions,
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Acum te rog sa rulezi aceste instructiuni,
15:32
run all of those programs,
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aceste programe,
15:34
and pick out the ones that came closest to doing what I wanted."
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si sa le alegi pe cele care au fost cele mai apropiate de ceea ce cautam eu."
15:37
So in other words, I define what I wanted.
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Cu alte cuvinte, definesc ceea ce voiam.
15:39
Let's say I want to sort numbers,
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Sa spunem ca vreau sa sortez numere,
15:41
as a simple example I've done it with.
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ca un exemplu a cum am facut-o.
15:43
So find the programs that come closest to sorting numbers.
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Gaseste programele cele mai apropiate de sortarea numerelor.
15:46
So of course, random sequences of instructions
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Desigur, secventele de instructiuni aleatorii
15:49
are very unlikely to sort numbers,
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au putine sanse sa sorteze numere,
15:51
so none of them will really do it.
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deci niciuna n-o va face cu adevarat.
15:53
But one of them, by luck,
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Dar una dintre ele, cu putin noroc,
15:55
may put two numbers in the right order.
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ar putea pune doua numere in ordinea corecta.
15:57
And I say, "Computer,
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Si eu spun,"Computer,
15:59
would you please now take the 10 percent
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ia acum cele 10 la suta
16:02
of those random sequences that did the best job.
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din acele succesiuni aleatorii care au facut cea mai buna treaba.
16:04
Save those. Kill off the rest.
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Salveaza-le pe acelea. Distruge-le pe restul.
16:06
And now let's reproduce
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Si acum sa le reproducem
16:08
the ones that sorted numbers the best.
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pe cele care au sortat numerele cel mai bine.
16:10
And let's reproduce them by a process of recombination
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Si sa le reproducem printr-un proces de recombinare
16:13
analogous to sex."
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asemanator cu sexul."
16:15
Take two programs and they produce children
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Luam doua programe si ele produc copii
16:18
by exchanging their subroutines,
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facand schimb de subprograme,
16:20
and the children inherit the traits of the subroutines of the two programs.
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si copiii mostenesc trasaturile ambelor subprograme.
16:23
So I've got now a new generation of programs
386
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Deci am o noua generatie de programe
16:26
that are produced by combinations
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care sunt produse prin combinarea
16:28
of the programs that did a little bit better job.
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programelor care au facut o treaba putin mai buna.
16:30
Say, "Please repeat that process."
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Spunem,"Te rog repeta procesul."
16:32
Score them again.
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Sortam din nou.
16:34
Introduce some mutations perhaps.
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Introducem poate unele mutatii.
16:36
And try that again and do that for another generation.
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Si incercam asta din nou facand-o pentru alta generatie.
16:39
Well every one of those generations just takes a few milliseconds.
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Fiecare generatie necesita cateva milisecunde.
16:42
So I can do the equivalent
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Deci pot face echivalentul
16:44
of millions of years of evolution on that
395
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a milioane de ani de evolutie astfel
16:46
within the computer in a few minutes,
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pe un computer in cateva minute,
16:49
or in the complicated cases, in a few hours.
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sau in cazurile complicate, in cateva ore.
16:51
At the end of that, I end up with programs
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La sfarsit am programe
16:54
that are absolutely perfect at sorting numbers.
399
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care sunt absolut perfecte la sortarea numerelor.
16:56
In fact, they are programs that are much more efficient
400
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Sunt, in fapt, programe care sunt mult mai eficiente
16:59
than programs I could have ever written by hand.
401
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decat cele pe care as fi putut sa le scriu manual.
17:01
Now if I look at those programs,
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Daca ma uit la acele programe,
17:03
I can't tell you how they work.
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nu va pot spune cum functioneaza.
17:05
I've tried looking at them and telling you how they work.
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Am incercat sa le studiez si sa va spun cum functioneaza.
17:07
They're obscure, weird programs.
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Sunt programe obscure, ciudate.
17:09
But they do the job.
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Dar isi fac meseria.
17:11
And in fact, I know, I'm very confident that they do the job
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Si stiu, in fapt, sunt convins ca-si fac treaba
17:14
because they come from a line
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pentru ca provin dintr-o serie de
17:16
of hundreds of thousands of programs that did the job.
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sute de mii de programe care si-au facut treaba.
17:18
In fact, their life depended on doing the job.
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De fapt, viata lor depindea de infaptuirea scopului.
17:21
(Laughter)
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(hohote de ras)
17:26
I was riding in a 747
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Mergeam odata intr-un avion 747
17:28
with Marvin Minsky once,
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cu Marvin Minski,
17:30
and he pulls out this card and says, "Oh look. Look at this.
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si el scoate un card si spune," Priveste.
17:33
It says, 'This plane has hundreds of thousands of tiny parts
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Spune, " Acest avion are sute de mii de parti minuscule
17:37
working together to make you a safe flight.'
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care lucreaza impreuna pentru un zbor sigur."
17:41
Doesn't that make you feel confident?"
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Nu te face sa te simti increzator?"
17:43
(Laughter)
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(hohote de ras)
17:45
In fact, we know that the engineering process doesn't work very well
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Stim ca procesul tehnologic nu functioneaza foarte bine
17:48
when it gets complicated.
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cand devine complicat.
17:50
So we're beginning to depend on computers
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Deci incepem sa depindem de computere
17:52
to do a process that's very different than engineering.
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sa faca un procedeu foarte diferit de cel ingineresc.
17:56
And it lets us produce things of much more complexity
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Si ne permite sa producem lucruri mult mai complexe
17:59
than normal engineering lets us produce.
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decat ne permite ingineria normala.
18:01
And yet, we don't quite understand the options of it.
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Si totusi, nu intelegem pe deplin optiunile sale.
18:04
So in a sense, it's getting ahead of us.
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Deci pe de-o parte ne-o ia inainte.
18:06
We're now using those programs
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Acum folosim acele programe
18:08
to make much faster computers
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pentru a face computere mult mai rapide
18:10
so that we'll be able to run this process much faster.
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pentru a putea rula acest proces mult mai repede.
18:13
So it's feeding back on itself.
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Deci se auto dezvolta.
18:16
The thing is becoming faster
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Devine mai rapid
18:18
and that's why I think it seems so confusing.
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si de aceea cred ca produce confuzie.
18:20
Because all of these technologies are feeding back on themselves.
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Pentru ca toate aceste tehnologii se autodezvolta.
18:23
We're taking off.
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Decolam.
18:25
And what we are is we're at a point in time
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Si suntem intr-un punct in timp
18:28
which is analogous to when single-celled organisms
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analog cu acela in care organismele unicelulare
18:30
were turning into multi-celled organisms.
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se transformau in organisme multicelulare.
18:33
So we're the amoebas
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Suntem amibele
18:35
and we can't quite figure out what the hell this thing is we're creating.
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si nu ne prea putem da seama ce naiba cream.
18:38
We're right at that point of transition.
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Suntem in punctul de tranzitie.
18:40
But I think that there really is something coming along after us.
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Dar cred ca este cu adevarat ceva ce urmeaza dupa noi.
18:43
I think it's very haughty of us
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Cred ca este arogant din partea noastra
18:45
to think that we're the end product of evolution.
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sa credem ca suntem produsul finit al evolutiei.
18:48
And I think all of us here
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Si cred ca toti cei de aici
18:50
are a part of producing
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sunt o parte a producerii
18:52
whatever that next thing is.
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urmatorului lucru, indiferent care va fi acela.
18:54
So lunch is coming along,
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Se apropie pranzul,
18:56
and I think I will stop at that point,
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si cred ca ma voi opri in acest punct
18:58
before I get selected out.
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inainte sa fiu indepartat.
19:00
(Applause)
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(Aplauze)
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