Ray Kurzweil: Get ready for hybrid thinking

529,292 views ・ 2014-06-02

TED


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Prevoditelj: Marina Maras Recezent: Ivan Stamenković
00:12
Let me tell you a story.
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Htio bih vam ispričati priču.
00:15
It goes back 200 million years.
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Ona počinje prije 200 milijuna godina
00:17
It's a story of the neocortex,
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To je priča o neokorteksu
00:19
which means "new rind."
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što znači "nova kora".
00:21
So in these early mammals,
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Kod prvih sisavaca,
00:23
because only mammals have a neocortex,
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jer samo sisavci imaju neokorteks,
00:25
rodent-like creatures.
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bića sličnih glodavcima.
00:27
It was the size of a postage stamp and just as thin,
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Neokorteks je bio veličine poštanske marke te jednako tanak,
00:30
and was a thin covering around
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bio je to tanki sloj koji je bio omotan
00:32
their walnut-sized brain,
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oko njihova mozga veličine oraha
00:34
but it was capable of a new type of thinking.
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ali bio je sposoban za novu vrstu razmišljanja.
00:38
Rather than the fixed behaviors
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Za razliku od utvrđenih ponašanja,
00:39
that non-mammalian animals have,
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tipičnih za ne-sisavce,
00:41
it could invent new behaviors.
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neokorteks je mogao smisliti nove oblike ponašanja.
00:44
So a mouse is escaping a predator,
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Tako da miš koji bježi svom predatoru
00:46
its path is blocked,
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a put mu je blokiran
00:48
it'll try to invent a new solution.
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pokušat će smisliti novo rješenje.
00:50
That may work, it may not,
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Koje može biti uspješno ili ne
00:51
but if it does, it will remember that
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ali ako bude uspješno, miš će to zapamtiti
00:53
and have a new behavior,
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i stvoriti novo ponašanje
00:55
and that can actually spread virally
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koje se može viralno proširiti
00:56
through the rest of the community.
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ostatkom zajednice.
00:58
Another mouse watching this could say,
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Drugi miš gledajući ovo bi mogao reći:
01:00
"Hey, that was pretty clever, going around that rock,"
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"Hej, to je bilo baš pametno, tako zaobići kamen,"
01:03
and it could adopt a new behavior as well.
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i mogao bi također usvojiti to ponašanje.
01:06
Non-mammalian animals
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Ne-sisavci
01:08
couldn't do any of those things.
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nisu bili sposobni za nešto takvo.
01:10
They had fixed behaviors.
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Oni su imali utvrđene oblike ponašanja.
01:11
Now they could learn a new behavior
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Mogli su naučiti novo ponašanje
01:12
but not in the course of one lifetime.
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ali ne u toku jednog životnog vijeka.
01:15
In the course of maybe a thousand lifetimes,
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Možda u toku od tisuću života
01:17
it could evolve a new fixed behavior.
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su mogli razviti novo utvrđeno ponašanje.
01:20
That was perfectly okay 200 million years ago.
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To je bilo sasvim u redu prije 200 milijuna godina.
01:23
The environment changed very slowly.
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Okoliš se mijenjao vrlo sporo.
01:25
It could take 10,000 years for there to be
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Moglo je proći i 10 000 godina da bi se dogodila
01:27
a significant environmental change,
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značajnija promjena okoliša,
01:29
and during that period of time
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a tijekom tog razdoblja
01:30
it would evolve a new behavior.
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mogli su razviti novo ponašanje.
01:33
Now that went along fine,
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Sve je išlo svojim tijekom
01:35
but then something happened.
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ali onda se nešto dogodilo.
01:37
Sixty-five million years ago,
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Prije 65 milijuna godina
01:39
there was a sudden, violent change to the environment.
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iznenada se dogodila silovita promjena okoliša.
01:41
We call it the Cretaceous extinction event.
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A zovemo je događaj Kreda-Tercijar izumiranja.
01:45
That's when the dinosaurs went extinct,
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Tada su izumrli dinosauri,
01:47
that's when 75 percent of the
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tada je 75 posto
01:51
animal and plant species went extinct,
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životinjskih i biljnih vrsta izumrlo
01:53
and that's when mammals
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i tada su sisavci
01:55
overtook their ecological niche,
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zauzeli svoju ekološku nišu
01:57
and to anthropomorphize, biological evolution said,
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i da antropomorfiziramo, biološka evolucija je rekla:
02:01
"Hmm, this neocortex is pretty good stuff,"
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"Hm, ovaj neokorteks je odlična stvar",
02:03
and it began to grow it.
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i počela ga je razvijati.
02:05
And mammals got bigger,
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I sisavci su postajali sve veći
02:06
their brains got bigger at an even faster pace,
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i njihovi mozgovi su postajali veći još većom brzinom
02:09
and the neocortex got bigger even faster than that
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a neokorteks je postajao veći još brže od toga
02:13
and developed these distinctive ridges and folds
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i razvio je prepoznatljive brazde i prijevoje
02:16
basically to increase its surface area.
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kako bi povećao svoju površinu.
02:19
If you took the human neocortex
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Kad biste uzeli ljudski neokorteks
02:20
and stretched it out,
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i potpuno ga rastegli,
02:22
it's about the size of a table napkin,
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bio bi veličine kuhinjske salvete
02:23
and it's still a thin structure.
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a još uvijek bi bio tanke strukture.
02:25
It's about the thickness of a table napkin.
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Otprilike je debljine kuhinjske salvete.
02:27
But it has so many convolutions and ridges
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Ali ima toliko vijuga i brazdi
02:29
it's now 80 percent of our brain,
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da sačinjava 80 posto našeg mozga,
02:32
and that's where we do our thinking,
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tu se odvijaju naši procesi razmišljanja
02:35
and it's the great sublimator.
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i zadužen je za proces sublimiranja.
02:37
We still have that old brain
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Još uvijek imamo onaj stari mozak
02:38
that provides our basic drives and motivations,
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koji određuje naše osnovne nagone i motivacije
02:40
but I may have a drive for conquest,
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ali ja mogu imati nagon za osvajanjem
02:43
and that'll be sublimated by the neocortex
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a to će neokorteks sublimirati
02:46
into writing a poem or inventing an app
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u proces pisanja pjesme ili smišljanja aplikacije
02:49
or giving a TED Talk,
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ili držanja govora na TED konferenciji
02:50
and it's really the neocortex that's where
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i zapravo se u neokorteksu
02:54
the action is.
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događa sva akcija.
02:56
Fifty years ago, I wrote a paper
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Prije 50 godina sam napisao rad
02:58
describing how I thought the brain worked,
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u kojem sam opisao kako sam mislio da mozak radi
02:59
and I described it as a series of modules.
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i opisao sam ga kao niz modula.
03:03
Each module could do things with a pattern.
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Svaki modul je mogao nešto obavljati ali slijedeći uzorak.
03:05
It could learn a pattern. It could remember a pattern.
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Mogao je naučiti uzorak, mogao je zapamtiti uzorak.
03:08
It could implement a pattern.
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Mogao je primijeniti uzorak.
03:09
And these modules were organized in hierarchies,
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I ovi moduli su organizirani u hijerarhije,
03:12
and we created that hierarchy with our own thinking.
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a mi stvaramo te hijerarhije svojim razmišljanjem.
03:15
And there was actually very little to go on
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Bilo je vrlo malo informacija s kojim ste mogli raditi
03:18
50 years ago.
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prije 50 godina.
03:19
It led me to meet President Johnson.
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To me je dovelo do predsjednika Johnsona.
03:22
I've been thinking about this for 50 years,
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Razmišljao sam o ovome 50 godina
03:24
and a year and a half ago I came out with the book
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i prije godinu i pol izdao sam knjigu
03:27
"How To Create A Mind,"
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"Kako stvoriti um",
03:28
which has the same thesis,
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koja ima istu postavku
03:29
but now there's a plethora of evidence.
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ali danas postoji mnoštvo dokaza.
03:32
The amount of data we're getting about the brain
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Količina podataka koju dobivamo o mozgu
03:34
from neuroscience is doubling every year.
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od neuroznanosti udvostručava se svake godine.
03:36
Spatial resolution of brainscanning of all types
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Prostorna rezolucija skeniranja mozga svih vrsta
03:39
is doubling every year.
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se udvostručava svake godine.
03:41
We can now see inside a living brain
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Danas možemo vidjeti unutrašnjost živog mozga
03:43
and see individual interneural connections
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i vidjeti pojedinačne među-neuronske veze
03:46
connecting in real time, firing in real time.
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kako se povezuju u realnom vremenu, kako ispaljuju impulse u relnom vremenu.
03:49
We can see your brain create your thoughts.
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Možemo vidjeti kako vaš mozak kreira misli.
03:51
We can see your thoughts create your brain,
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Možemo vidjeti kako vaše misli oblikuju vaš mozak,
03:53
which is really key to how it works.
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što je najbitnije u načinu kako radi.
03:55
So let me describe briefly how it works.
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Dopustite mi da vam ukratko objasnim kako mozak radi.
03:57
I've actually counted these modules.
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Zapravo, ja sam izbrojio ove module.
03:59
We have about 300 million of them,
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Postoji negdje oko 300 milijuna modula
04:01
and we create them in these hierarchies.
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i oblikujemo ih u hijerarhije.
04:03
I'll give you a simple example.
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Dat ću vam jednostavan primjer.
04:05
I've got a bunch of modules
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Imam gomilu modula
04:08
that can recognize the crossbar to a capital A,
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koji mogu prepoznati poprečnu crticu velikog slova A
04:12
and that's all they care about.
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i to je sve što ih zanima.
04:14
A beautiful song can play,
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Može svirati prelijepa pjesma,
04:15
a pretty girl could walk by,
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može proći prelijepa djevojka
04:17
they don't care, but they see a crossbar to a capital A,
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oni neće mariti za to, ali kad vide poprečnu crticu velikog slova A,
04:19
they get very excited and they say "crossbar,"
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uzbude se i kažu "poprečna crtica",
04:22
and they put out a high probability
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i odašilju signal velike vjerojatnosti
04:24
on their output axon.
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na izlaznom aksonu.
04:26
That goes to the next level,
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Tada to prelazi na višu razinu,
04:27
and these layers are organized in conceptual levels.
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ovi slojevi su organizirani u konceptualne razine.
04:30
Each is more abstract than the next one,
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Svaka sljedeća je apstraktnija od prethodne
04:32
so the next one might say "capital A."
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pa bi sljedeća mogla reći "veliko slovo A".
04:34
That goes up to a higher level that might say "Apple."
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To ide na višu razinu koja bi mogla reći "Auto".
04:37
Information flows down also.
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Informacija također ide prema dolje.
04:40
If the apple recognizer has seen A-P-P-L,
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Ako je identifikator auta vidio A-U-T-,
04:42
it'll think to itself, "Hmm, I think an E is probably likely,"
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pomislit će: " Hm, mislim da je jedno O vrlo vjerojatno",
04:46
and it'll send a signal down to all the E recognizers
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i poslat će signal svim O identifikatorima
04:48
saying, "Be on the lookout for an E,
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govoreći: "Pazite na slovo O,
04:50
I think one might be coming."
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mislim da bi se jedno moglo pojaviti."
04:51
The E recognizers will lower their threshold
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'O' identifikatori će sniziti svoj prag
04:54
and they see some sloppy thing, could be an E.
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i ako vide neku brljotinu, mogla bi biti O.
04:56
Ordinarily you wouldn't think so,
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Obično to ne biste pomislili,
04:58
but we're expecting an E, it's good enough,
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ali sad kad očekujemo 'O', dovoljno je dobra,
05:00
and yeah, I've seen an E, and then apple says,
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i da, vidio sam 'O', i tada auto kaže:
05:02
"Yeah, I've seen an Apple."
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"Da, vidio sam Auto".
05:03
Go up another five levels,
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Popnite se pet razina
05:05
and you're now at a pretty high level
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i sada ste na vrlo viskoj razini
05:06
of this hierarchy,
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ove hijerarhije
05:08
and stretch down into the different senses,
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i spustite se prema različitim osjetilima,
05:10
and you may have a module that sees a certain fabric,
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i mogli biste mati modul koji vidi određenu tkaninu,
05:13
hears a certain voice quality, smells a certain perfume,
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čuje određenu kvalitetu glasa, njuši određeni parfem,
05:16
and will say, "My wife has entered the room."
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i reći će: "Moja žena je ušla u sobu".
05:18
Go up another 10 levels, and now you're at
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Popnite se još 10 razina i sada ste na
05:20
a very high level.
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zaista visokoj razini.
05:21
You're probably in the frontal cortex,
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Vjerojatno se nalazite u frontalnom korteksu,
05:23
and you'll have modules that say, "That was ironic.
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i imat ćete module koji govore: " To je ironično.
05:27
That's funny. She's pretty."
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To je smiješno. Ona je lijepa."
05:29
You might think that those are more sophisticated,
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Mogli biste pomisliti da su oni sofisticiraniji,
05:32
but actually what's more complicated
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ali ono što je složenije
05:33
is the hierarchy beneath them.
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jest hijerarhija koja se nalazi ispod njih.
05:36
There was a 16-year-old girl, she had brain surgery,
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Jedna šesnaestogodišnja djevojka je imala operaciju na mozgu
05:38
and she was conscious because the surgeons
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i bila je pri svijesti tijekom operacije jer su kirurzi
05:40
wanted to talk to her.
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željeli razgovarati s njom.
05:42
You can do that because there's no pain receptors
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To je moguće zato što nema receptora boli
05:44
in the brain.
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na mozgu.
05:45
And whenever they stimulated particular,
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I kadgod su stimulirali određene,
05:47
very small points on her neocortex,
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vrlo male točke na njezinom neokorteksu
05:49
shown here in red, she would laugh.
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koje su ovdje pokazane crvenom bojom, ona se smijala.
05:52
So at first they thought they were triggering
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Prvotno su mislili da su pogodili
05:53
some kind of laugh reflex,
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nekakvu vrstu refleksa smijeha
05:55
but no, they quickly realized they had found
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ali ne, ubrzo su shvatili da su pronašli
05:57
the points in her neocortex that detect humor,
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točke njezinog neokorteksa koje prepoznaju humor,
06:00
and she just found everything hilarious
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i njoj je jednostavno sve bilo smiješno
06:02
whenever they stimulated these points.
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kadgod su joj stimulirali ove točke.
06:05
"You guys are so funny just standing around,"
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"Momci, što ste smiješni dok tako stojite tu",
06:07
was the typical comment,
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je bio uobičajen komentar,
06:08
and they weren't funny,
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ali oni nisu bili smiješni
06:11
not while doing surgery.
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bar ne dok su obavljali operaciju.
06:14
So how are we doing today?
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Pa kako nam ide danas?
06:19
Well, computers are actually beginning to master
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Zapravo, računala počinju savladavati
06:22
human language with techniques
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ljudski jezik tehnikama
06:24
that are similar to the neocortex.
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koje su slične neokorteksu.
06:27
I actually described the algorithm,
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Opisao sam algoritam
06:28
which is similar to something called
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koji je sličan nečemu što se zove
06:30
a hierarchical hidden Markov model,
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hijerarhijski skriveni Markovljev model,
06:33
something I've worked on since the '90s.
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nešto na čemu sam radio još od 90-ih.
06:36
"Jeopardy" is a very broad natural language game,
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"Izazov" je vrlo široka igra prirodnog jezika,
06:39
and Watson got a higher score
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i Watson je osvojio više bodova
06:41
than the best two players combined.
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nego najbolja dva igrača zajedno.
06:43
It got this query correct:
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Točno je odgovorio na ovaj upit:
06:45
"A long, tiresome speech
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" Dugi, zamoran govor
06:48
delivered by a frothy pie topping,"
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pjenušavog nadjeva za pitu",
06:50
and it quickly responded, "What is a meringue harangue?"
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i on je brzo odgovorio, "Što je meringue harangue?"
06:53
And Jennings and the other guy didn't get that.
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A Jennings i onaj drugi tip to nisu shvatili.
06:55
It's a pretty sophisticated example of
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To je vrlo sofisticirani primjer
06:57
computers actually understanding human language,
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kako računala zapravo razumiju ljudski jezik,
06:59
and it actually got its knowledge by reading
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a on je zapravo stekao znanje čitajući
07:01
Wikipedia and several other encyclopedias.
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Wikipediu i nekoliko drugih enciklopedija.
07:04
Five to 10 years from now,
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Negdje za 5 do 10 godina
07:07
search engines will actually be based on
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internetski pretraživači će raditi na principu
07:09
not just looking for combinations of words and links
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ne samo na traženju kombinacije riječi i linkova
07:12
but actually understanding,
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već razumijevajući,
07:13
reading for understanding the billions of pages
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čitajući da bi razumijeli milijarde stranica
07:16
on the web and in books.
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na webu i u knjigama.
07:19
So you'll be walking along, and Google will pop up
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Tako dok se šetate, iskočit će Google
07:21
and say, "You know, Mary, you expressed concern
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i reći: "Znaš, Mary, izrazila si zabrinutost
07:24
to me a month ago that your glutathione supplement
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negdje prije mjesec dana da tvoj glutationski dodatak prehrani
07:27
wasn't getting past the blood-brain barrier.
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ne može proći barijeru krv-mozak.
07:30
Well, new research just came out 13 seconds ago
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Pa, novo istraživanje je upravo izašlo prije 13 sekundi
07:32
that shows a whole new approach to that
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koje pokazuje jedan skroz novi pristup
07:34
and a new way to take glutathione.
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i novi način uzimanja glutationa.
07:36
Let me summarize it for you."
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Dopusti da ga sažmem."
07:38
Twenty years from now, we'll have nanobots,
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Za 20 godina imat ćemo nanobote,
07:42
because another exponential trend
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još jedan rastući trend
07:44
is the shrinking of technology.
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jest smanjivanje tehnologije.
07:45
They'll go into our brain
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Oni će ući u naš mozak
07:48
through the capillaries
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kroz kapilare
07:49
and basically connect our neocortex
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i zapravo spojiti naš neokorteks
07:52
to a synthetic neocortex in the cloud
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sa sintetskim neokorteksom u oblaku
07:55
providing an extension of our neocortex.
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koji će biti produžetak našeg neokorteksa.
07:59
Now today, I mean,
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Danas,
08:00
you have a computer in your phone,
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imate računalo u vašem telefonu
08:02
but if you need 10,000 computers for a few seconds
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ali ako vam zatreba 10,000 računala za samo nekoliko sekundi
08:05
to do a complex search,
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kako biste napravili složenu pretragu,
08:06
you can access that for a second or two in the cloud.
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možete pristupiti tome za 1-2 sekunde u oblaku.
08:09
In the 2030s, if you need some extra neocortex,
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U 2030-im ako budete trebali još neokorteksa
08:12
you'll be able to connect to that in the cloud
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moći ćete se povezati s njim u oblaku
08:15
directly from your brain.
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izravno iz vašeg mozga.
08:16
So I'm walking along and I say,
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Naprimjer šetam se i kažem:
08:18
"Oh, there's Chris Anderson.
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"Oh, evo Chris Anderson.
08:19
He's coming my way.
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Dolazi prema meni.
08:21
I'd better think of something clever to say.
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Bolje da smislim nešto pametno za reći.
08:23
I've got three seconds.
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imam tri sekunde.
08:25
My 300 million modules in my neocortex
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300 milijuna modula u mojem neokorteksu
08:28
isn't going to cut it.
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neće to uspjeti.
08:29
I need a billion more."
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Trabam ih još milijardu."
08:30
I'll be able to access that in the cloud.
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Moći ću im pristupiti preko oblaka.
08:34
And our thinking, then, will be a hybrid
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I tada će naše razmišljanje biti hibrid
08:36
of biological and non-biological thinking,
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biološkog i ne-biološkog razmišljanja,
08:40
but the non-biological portion
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ali nebiološki dio
08:42
is subject to my law of accelerating returns.
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je podložan mom zakonu ubrzavajućih povrata.
08:45
It will grow exponentially.
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On će rasti eksponencijalno.
08:47
And remember what happens
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Sjećate li se što se dogodilo
08:49
the last time we expanded our neocortex?
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zadnji put kad nam se povećao neokorteks?
08:51
That was two million years ago
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To je bilo prije 2 milijuna godina
08:53
when we became humanoids
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kada smo postali humanoidi
08:54
and developed these large foreheads.
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i razvili ova visoka čela.
08:56
Other primates have a slanted brow.
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Drugi primati imaju koso čelo.
08:58
They don't have the frontal cortex.
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Oni nemaju frontalni korteks.
09:00
But the frontal cortex is not really qualitatively different.
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Ali frontalni korteks nije kvalitativno drugačiji.
09:04
It's a quantitative expansion of neocortex,
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On je kvantitativno proširenje neokorteksa,
09:06
but that additional quantity of thinking
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ali ta dodatna količina razmišljanja
09:09
was the enabling factor for us to take
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nam je omogućila da napravimo
09:11
a qualitative leap and invent language
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kvalitativan skok i izmislimo jezik
09:14
and art and science and technology
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i umjetnost i znanost i tehnologiju
09:16
and TED conferences.
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i TED konferencije.
09:18
No other species has done that.
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Nijednoj drugoj vrsti to nije uspjelo.
09:20
And so, over the next few decades,
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Tijekom sljedećih nekoliko desetljeća
09:22
we're going to do it again.
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učinit ćemo to ponovno.
09:24
We're going to again expand our neocortex,
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Opet ćemo proširiti svoj neokorteks
09:26
only this time we won't be limited
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samo ovaj put nećemo biti ograničeni
09:28
by a fixed architecture of enclosure.
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fiksnom arhitekturom zatvorenog prostora.
09:32
It'll be expanded without limit.
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Širit će se bez ograničenja.
09:35
That additional quantity will again
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Ta dodatna količina će opet
09:38
be the enabling factor for another qualitative leap
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omogućiti kvalitativan skok
09:41
in culture and technology.
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u kulturi i tehnologiji.
09:42
Thank you very much.
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Mnogo vam hvala.
09:44
(Applause)
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(Pljesak)
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