Let me tell you a story. It goes back 200 million years. It's a story of the neocortex, which means "new rind." So in these early mammals, because only mammals have a neocortex, rodent-like creatures. It was the size of a postage stamp and just as thin, and was a thin covering around their walnut-sized brain, but it was capable of a new type of thinking. Rather than the fixed behaviors that non-mammalian animals have, it could invent new behaviors. So a mouse is escaping a predator, its path is blocked, it'll try to invent a new solution. That may work, it may not, but if it does, it will remember that and have a new behavior, and that can actually spread virally through the rest of the community. Another mouse watching this could say, "Hey, that was pretty clever, going around that rock," and it could adopt a new behavior as well.
Da vam ispričam jednu priču. Ona nas vraća 200 miliona godina unazad. To je priča o neokorteksu, što znači "nova kora". Kod ranih sisara, jer jedino sisari imaju neokorteks, stvorenja nalik glodarima, bio je veličine poštanske markice i isto tako tanak. Bio je tanki omotač oko njihovog mozga veličine oraha, ali je bio sposoban za novu vrstu razmišljanja. Za razliku od utvrđenih ponašanja koje imaju ne-sisari, on je mogao da smisli nova ponašanja. Na primer, miš beži od mesoždera, put mu je blokiran, pokušaće da smisli novo rešenje. To može da uspe ili ne, ali ako uspe, on će to zapamtiti i imaće novo ponašanje i to može da se proširi kao virus na ostatak zajednice. Drugi miš koji to gleda može da kaže: "Bilo je pametno to što je zaobišao taj kamen", i takođe usvoji novo ponašanje.
Non-mammalian animals couldn't do any of those things. They had fixed behaviors. Now they could learn a new behavior but not in the course of one lifetime. In the course of maybe a thousand lifetimes, it could evolve a new fixed behavior. That was perfectly okay 200 million years ago. The environment changed very slowly. It could take 10,000 years for there to be a significant environmental change, and during that period of time it would evolve a new behavior.
Životinje koje nisu sisari ne mogu ništa od toga. One imaju utvrđena ponašanja. Mogu da nauče novo ponašanje, ali ne u toku jednog života. U toku možda hiljadu života mogu da razviju novo utvrđeno ponašanje. To je bilo potpuno u redu pre 200 miliona godina. Okruženje se menjalo veoma sporo. Moglo je da prođe 10.000 godina dok se ne desi značajna promena okruženja, i u toku tog perioda razvili bi novo ponašanje.
Now that went along fine, but then something happened. Sixty-five million years ago, there was a sudden, violent change to the environment. We call it the Cretaceous extinction event. That's when the dinosaurs went extinct, that's when 75 percent of the animal and plant species went extinct, and that's when mammals overtook their ecological niche, and to anthropomorphize, biological evolution said, "Hmm, this neocortex is pretty good stuff," and it began to grow it. And mammals got bigger, their brains got bigger at an even faster pace, and the neocortex got bigger even faster than that and developed these distinctive ridges and folds basically to increase its surface area. If you took the human neocortex and stretched it out, it's about the size of a table napkin, and it's still a thin structure. It's about the thickness of a table napkin. But it has so many convolutions and ridges it's now 80 percent of our brain, and that's where we do our thinking, and it's the great sublimator. We still have that old brain that provides our basic drives and motivations, but I may have a drive for conquest, and that'll be sublimated by the neocortex into writing a poem or inventing an app or giving a TED Talk, and it's really the neocortex that's where the action is.
To je prošlo dobro, ali onda se nešto desilo. Pre 65 miliona godina, desila se iznenadna, žestoka promena okruženja. Nazivamo je K-T izumiranje. Tada su izumrli dinosaurusi, izumrlo je 75 posto životinjskih i biljnih vrsta i sisari su zauzeli svoje ekološko stanište. I da antropomorfizujemo, biološka evolucija kaže: "Hm. Taj neokorteks je dobra stvar", i počinje da ga razvija. Sisari su postali veći, njihov mozak je postao veći još bržim tempom, i neokorteks se povećao još brže i razvio ove prepoznatljive brazde i prevoje, uglavnom da bi povećao svoju površinu. Kad biste uzeli ljudski neokorteks i rastegli ga, bio bi veličine stone salvete, i dalje tanke strukture. Otprilike je debljine salvete. Ali ima toliko mnogo vijuga i brazdi da sada predstavlja 80% našeg mozga, i tu obavljamo razmišljanje, i veliki je sublimator. Još uvek imamo onaj stari mozak koji obezbeđuje osnovne nagone i motivacije, ali ja mogu imati nagon za osvajanjem i to će neokorteks sublimirati u pisanje pesme ili programiranje aplikacije ili držanje TED govora, i u stvari, neokorteks je mesto gde se obavlja radnja.
Fifty years ago, I wrote a paper describing how I thought the brain worked, and I described it as a series of modules. Each module could do things with a pattern. It could learn a pattern. It could remember a pattern. It could implement a pattern. And these modules were organized in hierarchies, and we created that hierarchy with our own thinking. And there was actually very little to go on 50 years ago. It led me to meet President Johnson. I've been thinking about this for 50 years, and a year and a half ago I came out with the book "How To Create A Mind," which has the same thesis, but now there's a plethora of evidence. The amount of data we're getting about the brain from neuroscience is doubling every year. Spatial resolution of brainscanning of all types is doubling every year. We can now see inside a living brain and see individual interneural connections connecting in real time, firing in real time. We can see your brain create your thoughts. We can see your thoughts create your brain, which is really key to how it works.
Pre 50 godina, napisao sam rad o tome kako sam mislio da mozak radi i opisao sam ga kao niz modula. Svaki modul može da radi stvari pomoću obrasca. Može da nauči obrazac, da ga zapamti i primeni. Ti moduli su organizovani u hijerarhije i mi kreiramo tu hijerarhiju svojim razmišljanjem. Nije moglo mnogo toga da se uradi pre 50 godina. To me je odvelo do predsednika Džonsona. Razmišljao sam o tome 50 godina i pre godinu i po dana, izdao sam knjigu "Kako kreirati um", koja je imala istu tezu, ali je sada bilo pregršt dokaza. Količina podataka koje dobijamo o mozgu od neuronauke udvostručuje se svake godine. Sve vrste prostorne rezolucije skeniranog mozga udvostručuju se svake godine. Sada možemo videti unutrašnjost živog mozga i pojedinačne međuneuronske veze kako se povezuju u realnom vremenu. Možemo videti vaš mozak kako stvara vaše misli. Možemo videti kako vaše misli stvaraju vaš mozak,
So let me describe briefly how it works. I've actually counted these modules. We have about 300 million of them, and we create them in these hierarchies. I'll give you a simple example. I've got a bunch of modules that can recognize the crossbar to a capital A, and that's all they care about. A beautiful song can play, a pretty girl could walk by, they don't care, but they see a crossbar to a capital A, they get very excited and they say "crossbar," and they put out a high probability on their output axon. That goes to the next level, and these layers are organized in conceptual levels. Each is more abstract than the next one, so the next one might say "capital A." That goes up to a higher level that might say "Apple." Information flows down also. If the apple recognizer has seen A-P-P-L, it'll think to itself, "Hmm, I think an E is probably likely," and it'll send a signal down to all the E recognizers saying, "Be on the lookout for an E, I think one might be coming." The E recognizers will lower their threshold and they see some sloppy thing, could be an E. Ordinarily you wouldn't think so, but we're expecting an E, it's good enough, and yeah, I've seen an E, and then apple says, "Yeah, I've seen an Apple."
što je ključ toga kako on funkcioniše. Da objasnim kratko kako funkcioniše. U stvari sam izbrojao ove module. Imamo ih oko 300 miliona i stvaramo ih u ovim hijerarhijama. Daću vam prost primer. Imam gomilu modula koji mogu da prepoznaju poprečnu crtu na velikom A, i to je sve što ih zanima. Može da svira lepa pesma, da prođe lepa devojka, njih je baš briga, ali kad vide poprečnu crtu na A, uzbude se i kažu: "Crta", i objavljuju visoku verovatnoću na svom izlaznom aksonu. To se uzdiže na sledeći nivo, i ovi slojevi se organizuju u pojmovne nivoe. Svaki je apstraktniji od sledećeg, tako da sledeći može da kaže: "Veliko A". To ide na sledeći nivo, koji može da kaže: "Jabuka" Informacija takođe teče nadole. Ako je prepoznavač jabuke video J-A-B-U-K, pomisliće: "Hm, mislim da je A verovatno", i poslaće signal dole do prepoznavača slova A, i reći će: "Pazite na A, mislim da će možda biti jedno". Prepoznavači slova A će sniziti kriterijum i videti neku brljotinu koja bi mogla da bude A. Obično ne biste to pomislili, ali očekujemo A, dovoljno je slično i da, video sam A i onda jabuka kaže:
Go up another five levels, and you're now at a pretty high level of this hierarchy, and stretch down into the different senses, and you may have a module that sees a certain fabric, hears a certain voice quality, smells a certain perfume, and will say, "My wife has entered the room."
"Da, video sam Jabuku". Idite nagore još pet nivoa i sada ste na prilično visokom nivou ove hijerarhije, i raširite nadole u različitim smerovima i možda ćete imati modul koji vidi određenu tkaninu, čuje određenu zvučnu osobinu oseća određeni parfem i reći će:
Go up another 10 levels, and now you're at a very high level. You're probably in the frontal cortex, and you'll have modules that say, "That was ironic. That's funny. She's pretty."
"Moja žena je upravo ušla u sobu". Idite nagore još 10 nivoa i sada ste na vrlo visokom nivou. Verovatno ste u frontalnom korteksu, i imaćete module koji kažu: "To je bilo ironično. To je smešno. Ona je lepa."
You might think that those are more sophisticated, but actually what's more complicated is the hierarchy beneath them. There was a 16-year-old girl, she had brain surgery, and she was conscious because the surgeons wanted to talk to her. You can do that because there's no pain receptors in the brain. And whenever they stimulated particular, very small points on her neocortex, shown here in red, she would laugh. So at first they thought they were triggering some kind of laugh reflex, but no, they quickly realized they had found the points in her neocortex that detect humor, and she just found everything hilarious whenever they stimulated these points. "You guys are so funny just standing around," was the typical comment, and they weren't funny, not while doing surgery.
Možda ćete pomisliti da su ovi sofisticiraniji, ali u stvari su komplikovaniji od hijerarhije ispod njih. Jedna 16-godišnja devojčica je imala operaciju na mozgu, i bila je svesna jer su hirurzi želeli da razgovaraju s njom. To može da se uradi jer nema receptora za bol u mozgu. Kad god bi stimulisali određene vrlo male tačke u njenom neokorteksu koje su prikazane crvenom bojom, ona bi se smejala. Prvo su pomislili da pokreću neku vrstu refleksa za smeh, ali ne, ubrzo su shvatili da su pronašli tačke u njenom neokorteksu koje detektuju humor, i njoj je prosto sve bilo smešno kad god su stimulisali ove tačke. "Tako ste smešni kako stojite okolo", bio je uobičajen komentar, a oni nisu bili smešni, ne dok su operisali.
So how are we doing today? Well, computers are actually beginning to master human language with techniques that are similar to the neocortex. I actually described the algorithm, which is similar to something called a hierarchical hidden Markov model, something I've worked on since the '90s. "Jeopardy" is a very broad natural language game, and Watson got a higher score than the best two players combined. It got this query correct: "A long, tiresome speech delivered by a frothy pie topping," and it quickly responded, "What is a meringue harangue?" And Jennings and the other guy didn't get that. It's a pretty sophisticated example of computers actually understanding human language, and it actually got its knowledge by reading Wikipedia and several other encyclopedias.
Kako nam ide danas? Kompjuteri počinju da ovladavaju ljudskim jezikom pomoću tehnika koje su slične neokorteksu. Opisao sam algoritam sličan nečemu što se zove hijerarhijski skriveni Markovljev model, nečemu na čemu sam radio od '90-ih. "Jeopardy" je veoma raširena prirodna jezička igra, i Votson je postigao veći skor nego najbolja dva igrača zajedno. Pogodio je pitanje za ovaj odgovor: "Dugačak, dosadan govor penastog kolača od belanaca", i brzo je odgovorio: "Šta je brbljanje puslice?" Dženings i drugi igrač nisu to pogodili. To je prilično sofisticiran primer kako kompjuteri u stvari razumeju ljudski jezik, i on je u stvari
Five to 10 years from now, search engines will actually be based on not just looking for combinations of words and links but actually understanding, reading for understanding the billions of pages on the web and in books. So you'll be walking along, and Google will pop up and say, "You know, Mary, you expressed concern to me a month ago that your glutathione supplement wasn't getting past the blood-brain barrier. Well, new research just came out 13 seconds ago that shows a whole new approach to that and a new way to take glutathione. Let me summarize it for you."
stekao znanje čitajući Vikipediju i nekoliko drugih enciklopedija. Pet do deset godina od sada pretraživači će biti zasnovani ne samo na traženju kombinacija reči i linkova već na razumevanju, čitanju da bi razumeli milijarde stranica na internetu i u knjigama. Tako da, dok hodate, iskočiće vam Gugl i reći: "Znaš Meri, pre mesec dana rekla si mi da si zabrinuta zbog toga što tvoj glutationski dodatak nije prošao kroz krvno-moždanu barijeru. Pre 13 sekundi se pojavilo novo istraživanje koje ima potpuno novi pristup tome i novi način za uzimanje glutationa.
Twenty years from now, we'll have nanobots,
Da ti sumiram to."
because another exponential trend is the shrinking of technology. They'll go into our brain through the capillaries and basically connect our neocortex to a synthetic neocortex in the cloud providing an extension of our neocortex. Now today, I mean, you have a computer in your phone, but if you need 10,000 computers for a few seconds to do a complex search, you can access that for a second or two in the cloud. In the 2030s, if you need some extra neocortex, you'll be able to connect to that in the cloud directly from your brain. So I'm walking along and I say, "Oh, there's Chris Anderson. He's coming my way. I'd better think of something clever to say. I've got three seconds. My 300 million modules in my neocortex isn't going to cut it. I need a billion more." I'll be able to access that in the cloud. And our thinking, then, will be a hybrid of biological and non-biological thinking, but the non-biological portion is subject to my law of accelerating returns. It will grow exponentially. And remember what happens the last time we expanded our neocortex? That was two million years ago when we became humanoids and developed these large foreheads. Other primates have a slanted brow. They don't have the frontal cortex. But the frontal cortex is not really qualitatively different. It's a quantitative expansion of neocortex, but that additional quantity of thinking was the enabling factor for us to take a qualitative leap and invent language and art and science and technology and TED conferences. No other species has done that.
Za dvadeset godina, imaćemo nano-robote jer još jedan rastući trend je minijaturizacija tehnologije. Oni će ulaziti u naš mozak kroz kapilare i u osnovi povezivati naš neokorteks sa sintetičkim neokorteksom u "oblaku", obezbeđujući time produžetak našeg neokorteksa. Danas, imate kompjuter u vašem telefonu, ali ako vam zatreba 10.000 kompjutera za nekoliko sekundi da biste uradili složenu pretragu, možete pristupiti tome za 1-2 sekunde u "oblaku". U 2030-im, ako vam zatreba dodatni neokorteks, moći ćete da se povežete sa njim u "oblaku" direktno iz vašeg mozga. Na primer, šetam se i kažem: "Eno ga Kris Anderson. Ide prema meni. Bolje da smislim nešto pametno što ću da kažem. Imam tri sekunde. Mojih 300 miliona modula u neokorteksu neće to uspeti. Treba mi još milijardu." Moći ću da pristupim tome u "oblaku". I onda će naše razmišljanje biti hibrid biološkog i nebiološkog razmišljanja, a nebiološki deo je podložan mom Zakonu o ponovnim ubrzanjima. Povećavaće se eksponencijalno. Sećate se šta se desilo poslednji put kad smo proširili naš neokorteks? To je bilo pre dva miliona godina, kad smo postali humanoidi i razvili ova visoka čela. Ostali primati imaju koso čelo. Oni nemaju frontalni korteks. Ali frontalni korteks nije kvalitativno drugačiji. On je kvantitativni produžetak neokorteksa, ali ta dodatna količina razmišljanja omogućila nam je da načinimo kvalitativni skok i izmislimo jezik, i umetnost, i nauku, i tehnologiju, i TED konferencije.
And so, over the next few decades, we're going to do it again. We're going to again expand our neocortex, only this time we won't be limited by a fixed architecture of enclosure. It'll be expanded without limit. That additional quantity will again be the enabling factor for another qualitative leap in culture and technology.
Nijedna druga vrsta nije to uradila. I tokom sledećih nekoliko decenija, uradićemo to ponovo. Proširićemo ponovo svoj neokorteks, samo ovog puta nećemo biti ograničeni utvrđenom arhitekturom zatvaranja. Proširivaće se bez ograničenja. Taj dodatni kvantitet će ponovo biti faktor koji će omogućiti još jedan kvalitativni skok u kulturi i tehnologiji.
Thank you very much.
Hvala vam mnogo.
(Applause)
(Aplauz)