John Graham-Cumming: The greatest machine that never was

18,168 views ・ 2015-07-15

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00:00
Translator: Joseph Geni Reviewer: Morton Bast
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Translator: David J. Kreps Finnemann Reviewer: Anders Finn Jørgensen
00:12
So the machine I'm going to talk you about
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Så den maskine jeg vil tale til jer om
00:13
is what I call the greatest machine that never was.
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er det jeg kalder den største maskine der aldrig blev til noget.
00:15
It was a machine that was never built,
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Det var en maskine der aldrig blev bygget,
00:17
and yet, it will be built.
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og alligevel, vil den blive bygget.
00:19
It was a machine that was designed
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Det var en maskine der blev bygget
00:21
long before anyone thought about computers.
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længe før nogen tænkte på computere.
00:23
If you know anything about the history of computers,
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Hvis man ved noget som helst om computerens historie,
00:26
you will know that in the '30s and the '40s,
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ved man at der i 30'erne og 40'erne,
00:28
simple computers were created
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blev bygget simple computere
00:31
that started the computer revolution we have today,
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der startede den computer revolution vi har i dag,
00:33
and you would be correct,
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og man ville have ret,
00:35
except for you'd have the wrong century.
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bortset fra at man ville have fat i det forkerte århundrede.
00:37
The first computer was really designed
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Den første computer blev faktisk bygget
00:39
in the 1830s and 1840s, not the 1930s and 1940s.
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i 1830'erne og 1840'erne, ikke 1930'erne og 1940'erne.
00:43
It was designed, and parts of it were prototyped,
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Den blev bygget, og dele af den var prototyper,
00:45
and the bits of it that were built are here
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og de dele af der blev bygget er her
00:47
in South Kensington.
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i South Kensington.
00:49
That machine was built by this guy, Charles Babbage.
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Den maskine blev bygget af denne fyr, Charles Babbage.
00:52
Now, I have a great affinity for Charles Babbage
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Nuvel, jeg har en stor forkærlighed for Charles Babbage
00:54
because his hair is always completely unkempt like this
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fordi hans hår altid er uredt ligesom dette
00:57
in every single picture. (Laughter)
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på hvert eneste billede. (Latter)
00:59
He was a very wealthy man, and a sort of,
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Han var en meget rig mand, og en slags,
01:01
part of the aristocracy of Britain,
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del af aristokratiet i England,
01:03
and on a Saturday night in Marylebone,
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og en lørdag aften i Marylebone,
01:05
were you part of the intelligentsia of that period,
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var man en del af intelligentsiaen i den periode,
01:08
you would have been invited round to his house
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ville man være blevet inviteret til hans hus
01:09
for a soiree — and he invited everybody:
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til et aftenselskab -- og han inviterede alle:
01:12
kings, the Duke of Wellington, many, many famous people —
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konger, the Duke of Wellington, mange, mange kendte mennesker --
01:16
and he would have shown you one of his mechanical machines.
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og han ville have vist en af sine mekaniske maskiner.
01:18
I really miss that era, you know, where you could
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Jeg savner virkelig den periode, I ved, hvor man ville
01:21
go around for a soiree and see a mechanical computer
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gå til et aftenselskab og se en mekanisk computer
01:23
get demonstrated to you. (Laughter)
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blive demonstreret for en. (Latter)
01:25
But Babbage, Babbage himself was born
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Men Babbage, Babbage selv blev født
01:28
at the end of the 18th century,
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i slutningen af det 18 århundrede,
01:30
and was a fairly famous mathematician.
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og var en temmelig kendt matematiker.
01:32
He held the post that Newton held at Cambridge,
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Han havde den samme stilling som Newton havde ved Cambridge,
01:35
and that was recently held by Stephen Hawking.
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og for nyligt også var den af Stephen Hawking.
01:37
He's less well known than either of them because
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Han er mindre kendt end begge to, fordi
01:40
he got this idea to make mechanical computing devices
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han fik denne ide at lave mekaniske beregnende ting
01:43
and never made any of them.
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og lavede aldrig nogen af dem.
01:46
The reason he never made any of them, he's a classic nerd.
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Grunden til han aldrig lavede nogen af dem, han er en klassisk nørd.
01:49
Every time he had a good idea, he'd think,
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Hver gang han fik en god ide, tænkte han,
01:51
"That's brilliant, I'm going to start building that one.
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"Det er genialt, jeg vil begynde at bygge den.
01:52
I'll spend a fortune on it. I've got a better idea.
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Jeg bruger en formue på den. Jeg har en bedre ide.
01:55
I'm going to work on this one. (Laughter) And I'm going to do this one."
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Jeg vil bygge denne. (Latter) Og jeg vil bygge denne."
01:57
He did this until Sir Robert Peel, then Prime Minister,
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Han gjorde dette indtil Sir Robert Peel, den forhenværende premierminister,
02:00
basically kicked him out of Number 10 Downing Street,
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mere eller mindre sparkede ham ud af Downing Street 10,
02:03
and kicking him out, in those days, that meant saying,
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og sparkede ham ud, dengang, betød at sige,
02:05
"I bid you good day, sir." (Laughter)
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"Jeg ønsker dem en god dag, Hr." (Latter)
02:08
The thing he designed was this monstrosity here,
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Den ting han byggede var dette monstrum her,
02:10
the analytical engine. Now, just to give you an idea of this,
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den analytiske maskine. Nuvel, bare for at give jer en ide om dette,
02:14
this is a view from above.
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dette er set ovenfra.
02:15
Every one of these circles is a cog, a stack of cogs,
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Hver eneste af disse cirkler er et tandhjul, en stak tandhjul,
02:19
and this thing is as big as a steam locomotive.
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og denne ting er lige så stor som et damp lokomotiv.
02:22
So as I go through this talk, I want you to imagine
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Så mens jeg gennemgår dette foredrag, vil jeg bede jer om at forestille jer
02:24
this gigantic machine. We heard those wonderful sounds
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denne gigantiske maskine. Vi hørte disse vidunderlige lyde
02:26
of what this thing would have sounded like.
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af hvordan denne ting kunne have lydt.
02:28
And I'm going to take you through the architecture of the machine
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Og jeg vil tage jer gennem arkitekturen af denne maskine
02:30
— that's why it's computer architecture —
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-- det er derfor det er computer arkitektur --
02:31
and tell you about this machine, which is a computer.
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og fortælle jer om denne maskine, der er en computer.
02:35
So let's talk about the memory. The memory
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Så lad os tale om hukommelsen. Hukommelsen
02:38
is very like the memory of a computer today,
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er meget lig den hukommelse en computer har i dag,
02:40
except it was all made out of metal,
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bortset fra at det var lavet i metal,
02:43
stacks and stacks of cogs, 30 cogs high.
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stakke og stakke og tandhjul, 30 tandhjul høj,
02:47
Imagine a thing this high of cogs,
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forestille jeg en ting så høj med tandhjul,
02:49
hundreds and hundreds of them,
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hundredvis og hundredvis af dem,
02:51
and they've got numbers on them.
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og der er tal på dem.
02:52
It's a decimal machine. Everything's done in decimal.
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Det er en maskine. Alt bliver lavet i decimaler.
02:55
And he thought about using binary. The problem
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Og han tænkte på at bruge binært. Problemet
02:56
with using binary is that the machine would have been so
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med at bruge binært er at maskinen ville have været så
02:58
tall, it would have been ridiculous. As it is, it's enormous.
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høj, at det ville have været latterligt. Som det er nu, er den enorm.
03:01
So he's got memory.
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Så han har hukommelse.
03:03
The memory is this bit over here.
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Hukommelsen er den del herovre.
03:06
You see it all like this.
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I kan se det hele sådan her.
03:08
This monstrosity over here is the CPU, the chip, if you like.
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Dette monstrum herovre er CPU'en, chippen, om man vil.
03:13
Of course, it's this big.
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Selvfølgelig, er den stor.
03:15
Completely mechanical. This whole machine is mechanical.
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Fuldstændig mekanisk. Hele denne maskine er mekanisk.
03:18
This is a picture of a prototype for part of the CPU
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Dette er et billede af en prototype for en del af CPU'en
03:22
which is in the Science Museum.
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hvilket er i Science Museum.
03:24
The CPU could do the four fundamental functions of arithmetic --
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CPU'en kunne lave de fire fundamentale funktioner i
03:28
so addition, multiplication, subtraction, division --
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så addere, multiplicere, subtrahere og dividere --
03:30
which already is a bit of a feat in metal,
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hvilket allerede er noget af en bedrift i metal,
03:33
but it could also do something that a computer does
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men den kunne også noget som en computer gør
03:36
and a calculator doesn't:
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og en lommeregner ikke gør:
03:38
this machine could look at its own internal memory and make a decision.
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denne maskine kunne kigge på sin egen interne hukommelse og tage en beslutning.
03:42
It could do the "if then" for basic programmers,
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Den kunne lave "if then" for basic programmørerne,
03:44
and that fundamentally made it into a computer.
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og det gjorde den fundamentalt til en computer.
03:47
It could compute. It couldn't just calculate. It could do more.
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Den kunne beregne. Den kunne ikke kun regne. Den kunne gøre mere.
03:51
Now, if we look at this, and we stop for a minute,
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Hvis vi nu kigger på dette, og vi stopper op et øjeblik,
03:54
and we think about chips today, we can't
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og vi tænker på chips i dag, kan vi ikke
03:56
look inside a silicon chip. It's just so tiny.
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kigge ind i en chip. Den er bare så lille.
04:00
Yet if you did, you would see something
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Men hvis man gjorde, ville man se noget
04:01
very, very similar to this.
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meget, meget lig dette.
04:03
There's this incredible complexity in the CPU,
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Der er en utrolig kompleksitet i en CPU,
04:06
and this incredible regularity in the memory.
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og en utrolig regularitet i hukommelsen.
04:09
If you've ever seen an electron microscope picture,
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Hvis man nogensinde har set et elektron mikroskop billede,
04:10
you'll see this. This all looks the same,
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ville man se dette. Det ser alt sammen ens ud,
04:12
then there's this bit over here which is incredibly complicated.
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så er der denne del herovre der er utrolig kompliceret.
04:15
All this cog wheel mechanism here is doing is what a computer does,
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Alle disse tandhjuls mekanismer her, gør alt det en computer gør,
04:19
but of course you need to program this thing, and of course,
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men selvfølgelig skal man programmere denne ting, og selvfølgelig,
04:21
Babbage used the technology of the day
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brugte Babbage datidens teknologi
04:24
and the technology that would reappear in the '50s, '60s and '70s,
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og teknologien der ville dukke op i 50'erne, 60'erne og 70'erne,
04:28
which is punch cards. This thing over here
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hvilket er hulkort. Denne ting herovre
04:31
is one of three punch card readers in here,
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er en af tre hulkorts læsere,
04:33
and this is a program in the Science Museum, just
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og dette program i Science Museum,
04:37
not far from here, created by Charles Babbage,
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ikke langt herfra, lavet af Charles Babbage,
04:42
that is sitting there — you can go see it —
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som sidder der -- man kan tage hen og se det --
04:43
waiting for the machine to be built.
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ventende på at maskinen bliver bygget.
04:46
And there's not just one of these, there's many of them.
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Og der er ikke kun en af disse, der er mange af dem.
04:49
He prepared programs anticipating this would happen.
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Han klargjorde programmer i forventning om at det ville ske.
04:52
Now, the reason they used punch cards was that Jacquard,
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Grunden til at de brugte hulkort, var at Jacquard,
04:54
in France, had created the Jacquard loom,
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i Frankrig, havde skabt Jacquard væven,
04:56
which was weaving these incredible patterns controlled by punch cards,
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der vævede disse utrolige mønstre kontrolleret af hulkortene,
04:59
so he was just repurposing the technology of the day,
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så han genanvendte bare datidens teknologi,
05:02
and like everything else he did, he's using the technology
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og ligesom alt andet han gjorde, brugte han teknologien
05:04
of his era, so 1830s, 1840s, 1850s, cogs, steam,
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fra hans tid, så 1830'erne, 1840'erne, 1850'erne, tandhjul, damp,
05:09
mechanical devices. Ironically, born the same year
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mekaniske ting. Ironisk nok, født det samme år
05:13
as Charles Babbage was Michael Faraday,
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som Charles Babbage var Michael Faraday,
05:15
who would completely revolutionize everything
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der fuldstændig ville revolutionere alt
05:17
with the dynamo, transformers, all these sorts of things.
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med dynamoen, transformeren, alle den slags ting.
05:20
Babbage, of course, wanted to use proven technology,
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Babbage, selvfølgelig, ville bruge disse afprøvede teknologier,
05:23
so steam and things.
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så damp og den slags.
05:25
Now, he needed accessories.
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Men han havde brug for tilbehør.
05:26
Obviously, you've got a computer now.
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Åbenlyst, har man en computer nu.
05:28
You've got punch cards, a CPU and memory.
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Man har hulkort, en CPU og hukommelse.
05:30
You need accessories you're going to come with.
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Man har brug for tilbehør som man selv kommer med.
05:32
You're not just going to have that,
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Det er ikke noget man bare har.
05:34
So, first of all, you had sound. You had a bell,
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Så, for det første, havde man lyd. Man havde en klokke,
05:37
so if anything went wrong — (Laughter) —
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og hvis noget gik galt -- (Latter) --
05:39
or the machine needed the attendant to come to it,
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eller maskinen havde brug for at operatøren kom forbi,
05:41
there was a bell it could ring. (Laughter)
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var der en lille klokke der kunne ringe. (Latter)
05:43
And there's actually an instruction on the punch card
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Og der er faktisk en instruktion på hulkortet
05:45
which says "Ring the bell." So you can imagine this "Ting!"
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der siger "Ring med klokken". Så man kan forestille sig dette "Ting!"
05:48
You know, just stop for a moment, imagine all those noises,
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I ved, man stopper et øjeblik, forestil jer alle disse lyde,
05:50
this thing, "Click, clack click click click,"
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denne ting, "Klik, klak klik klik klik",
05:51
steam engine, "Ding," right? (Laughter)
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damp maskine, "Ding", ikke? (Latter)
05:54
You also need a printer, obviously, and everyone needs a printer.
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Man har også brug for en printer, selvfølgelig, og alle har brug for en printer.
05:56
This is actually a picture of the printing mechanism for
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Dette er faktisk et billede af printe mekanismen for
05:59
another machine of his, called the Difference Engine No. 2,
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en anden af hans maskiner, kaldet the Difference Engine No. 2,
06:02
which he never built, but which the Science Museum
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som han aldrig byggede, men det gjorde the Science Museum
06:04
did build in the '80s and '90s.
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i 80'erne og 90'erne.
06:06
It's completely mechanical, again, a printer.
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Det er komplet mekanisk, igen, en printer.
06:08
It prints just numbers, because he was obsessed with numbers,
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Den printer kun numre, fordi han var besat af numre,
06:11
but it does print onto paper, and it even does word wrapping,
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men den printer på papir, og den kan endda lave orddeling,
06:14
so if you get to the end of the line, it goes around like that.
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så hvis man kommer til enden af linjen, kommer den rundt på den måde.
06:17
You also need graphics, right?
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Man har også brug for grafik, ikke?
06:19
I mean, if you're going to do anything with graphics,
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Jeg mener, hvis man skal gøre noget som helst med grafik,
06:20
so he said, "Well, I need a plotter. I've got a big piece of paper
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så han sagde, "Jamen, jeg har brug for en plotter. Jeg har et stort stykke papir
06:23
and an ink pen and I'll make it plot."
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og en fyldepen så jeg laver en plotter."
06:25
So he designed a plotter as well,
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Så han byggede også en plotter,
06:27
and, you know, at that point, I think he got pretty much
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og, I ved, på det tidspunkt, tror jeg han fik lavet
06:31
a pretty good machine.
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en temmelig god maskine.
06:32
Along comes this woman, Ada Lovelace.
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Så kommer der denne kvinde, Ada Lovelace, forbi.
06:35
Now, imagine these soirees, all these great and good comes along.
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Forestil jeg nu disse aftenselskaber, alle de store og vigtige kommer med.
06:38
This lady is the daughter of the mad, bad
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Denne dame er datteren af den gale, slemme,
06:41
and dangerous-to-know Lord Byron,
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og farlige at kende Lord Byron,
06:43
and her mother, being a bit worried that she might have
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og hendes mor, værende lidt bekymret over at hun måske
06:46
inherited some of Lord Byron's madness and badness,
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har arvet noget af Lord Byrons galskab og slemhed,
06:49
thought, "I know the solution: Mathematics is the solution.
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tænkte, "Jeg kender løsningen: Matematik er løsningen.
06:52
We'll teach her mathematics. That'll calm her down."
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Vi lærer hende matematik. Det beroliger hende."
06:55
(Laughter) Because of course,
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(Latter) Fordi der har selvfølgelig,
06:59
there's never been a mathematician that's gone crazy,
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aldrig været en matematiker der er blevet gal,
07:03
so, you know, that'll be fine. (Laughter)
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så, I ved, det bliver godt. (Latter)
07:05
Everything'll be fine. So she's got this mathematical training,
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Alt bliver godt. Så hun har denne matematiske træning,
07:08
and she goes to one of these soirees with her mother,
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and hun går til en af disse aftenselskaber med hendes mor,
07:11
and Charles Babbage, you know, gets out his machine.
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og Charles Babbage, I ved, finder denne maskine frem.
07:14
The Duke of Wellington is there, you know,
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The Duke of Wellington er der, I ved,
07:16
get out the machine, obviously demonstrates it,
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finder maskinen frem, demonstrerer den selvfølgelig,
07:17
and she gets it. She's the only person in his lifetime, really,
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og hun forstår det. Hun er den eneste person i hans livstid, faktisk,
07:21
who said, "I understand what this does,
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der sagde, "Jeg forstår hvad den gør,
07:22
and I understand the future of this machine."
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og jeg forstår fremtiden af denne maskine."
07:24
And we owe to her an enormous amount because we know
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Og vi skylder hende en enorm masse, fordi vi ved
07:28
a lot about the machine that Babbage was intending to build
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en masse om den maskine som Babbage ville bygge
07:31
because of her.
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på grund af hende.
07:32
Now, some people call her the first programmer.
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Nuvel, nogle mennesker kalder hende den første programmør.
07:35
This is actually from one of -- the paper that she translated.
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Det er faktisk fra en af -- det papir hun oversatte.
07:38
This is a program written in a particular style.
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Det er et program skrevet i en bestemt stil.
07:41
It's not, historically, totally accurate that she's the first programmer,
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Det er ikke, historisk, total nøjagtigt at hun er den første programmør,
07:45
and actually, she did something more amazing.
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og faktisk, gjorde hun noget endnu mere utroligt.
07:47
Rather than just being a programmer,
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I stedet for bare at være en programmør,
07:48
she saw something that Babbage didn't.
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så hun noget som Babbage ikke så.
07:51
Babbage was totally obsessed with mathematics.
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Babbage var total besat med matematik.
07:54
He was building a machine to do mathematics,
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Han byggede en maskine til at lave matematik,
07:58
and Lovelace said, "You could do more than mathematics
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og Lovelave sagde, "Man kunne lave mere end matematik
08:01
on this machine." And just as you do,
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på denne maskine". Og ligesom man gør,
08:04
everyone in this room already's got a computer on them
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alle i dette lokale har en computer på sig,
08:05
right now, because they've got a phone.
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lige nu, fordi de har en telefon.
08:07
If you go into that phone, every single thing in that phone
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Hvis man går ind i den telefon, er hver eneste ting i den telefon
08:10
or computer or any other computing device
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eller computer, eller en hvilken som helst anden databehandlings maskine
08:12
is mathematics. It's all numbers at the bottom.
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er matematik. Det er i sidste ende alt sammen tal.
08:14
Whether it's video or text or music or voice, it's all numbers,
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Hvad enten det er video eller tekst eller tale, det er alt sammen numre,
08:18
it's all, underlying it, mathematical functions happening,
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det er alt sammen, grundliggende, sker der matematiske funktioner,
08:22
and Lovelace said, "Just because you're doing
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og Lovelace sagde, "Bare fordi man laver
08:25
mathematical functions and symbols
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matematiske funktioner og symboler
08:28
doesn't mean these things can't represent
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betyder det ikke at ting kan repræsentere
08:30
other things in the real world, such as music."
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andre ting i den virkelige verden, som musik".
08:33
This was a huge leap, because Babbage is there saying,
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Dette var et kæmpe spring, fordi Babbage siger der,
08:36
"We could compute these amazing functions and print out
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"Vi kunne beregne disse fantastiske funktioner og printe
08:38
tables of numbers and draw graphs," — (Laughter) —
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tabeller med numre og og tegne grafer," -- (Latter) --
08:42
and Lovelace is there and she says, "Look,
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og Lovelace er der og siger, "Hør engang,
08:44
this thing could even compose music if you
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denne ting kunne endda udarbejde musik hvis man
08:46
told it a representation of music numerically."
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numerisk fortalte den en repræsentation af musik."
08:50
So this is what I call Lovelace's Leap.
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Så dette er hvad jeg kalder Lovelaces spring.
08:52
When you say she's a programmer, she did do some,
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Når man siger hun er en programmør, hun lavede noget,
08:55
but the real thing is to have said the future is going to be
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men den rigtige ting er at sagde at fremtiden vil blive
08:58
much, much more than this.
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meget, meget mere end dette.
09:01
Now, a hundred years later, this guy comes along,
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Nu, hundrede år senere, kommer denne fyr,
09:03
Alan Turing, and in 1936, and invents the computer all over again.
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Alan Turing, og i 1936, og opfinder computeren om igen.
09:08
Now, of course, Babbage's machine was entirely mechanical.
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Men, selvfølgelig, var Babbages maskine var komplet mekanisk.
09:11
Turing's machine was entirely theoretical.
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Turings maskine var komplet teoretisk.
09:13
Both of these guys were coming from a mathematical perspective,
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Begge disse fyre kom fra en matematisk baggrund,
09:16
but Turing told us something very important.
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men Turing fortalte os noget meget vigtigt.
09:19
He laid down the mathematical foundations
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Han fastlagde de matematiske grundpiller
09:22
for computer science, and said,
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for computer videnskaben, og sagde,
09:24
"It doesn't matter how you make a computer."
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"Det er lige meget hvordan man laver en computer."
09:27
It doesn't matter if your computer's mechanical,
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Det er lige meget om ens computer er mekanisk,
09:29
like Babbage's was, or electronic, like computers are today,
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ligesom Babbages var, eller elektronisk, ligesom computere er i dag,
09:33
or perhaps in the future, cells, or, again,
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eller måske i fremtiden, celler, eller, igen,
09:36
mechanical again, once we get into nanotechnology.
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mekaniske igen, når vi begynder med nanoteknologi.
09:39
We could go back to Babbage's machine
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Vi kunne gå tilbage til Babbages maskine
09:41
and just make it tiny. All those things are computers.
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og bare lave den lille. Alle disse ting er computere.
09:44
There is in a sense a computing essence.
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Der er med andre ord en beregnende kerne.
09:45
This is called the Church–Turing thesis.
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Dette er kaldet Church-Turing tesen.
09:47
And so suddenly, you get this link where you say
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Og så pludselig, får man dette link hvor man siger
09:50
this thing Babbage had built really was a computer.
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denne ting Babbage byggede faktisk var en computer.
09:52
In fact, it was capable of doing everything we do today
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Faktisk, var den i stand til at gøre alt vi gør i dag
09:55
with computers, only really slowly. (Laughter)
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med computere, bare virkelig langsomt. (Latter)
10:00
To give you an idea of how slowly,
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For at give jer en ide om hvor langsomt,
10:02
it had about 1k of memory.
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havde den cirka 1k hukommelse.
10:06
It used punch cards, which were being fed in,
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Den brugte hulkort, som blev stukket ind,
10:09
and it ran about 10,000 times slower the first ZX81.
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og den kørte omkring 10.000 gange langsommere end den første ZX81.
10:15
It did have a RAM pack.
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Den havde en RAM pakke.
10:16
You could add on a lot of extra memory if you wanted to.
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Man kunne sætte en masse ekstra hukommelse på, hvis man ville.
10:19
(Laughter) So, where does that bring us today?
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(Latter) Så, hvor får det os hen i dag?
10:22
So there are plans.
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Så her er planerne.
10:23
Over in Swindon, the Science Museum archives,
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Ovre i Swindon, the Science Museum arkiverne,
10:26
there are hundreds of plans and thousands of pages
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der er hundredvis af planer og tusindvis af sider
10:28
of notes written by Charles Babbage about this analytical engine.
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med noter, skrevet af Charles Babbage omkring denne analytiske maskine.
10:31
One of those is a set of plans that we call Plan 28,
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En af disse, er et sæt planer som vi kalder Plan 28,
10:35
and that is also the name of a charity that I started
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og det er også navnet på en velgørende organisation som jeg startede
10:38
with Doron Swade, who was the curator of computing
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med Doron Swade, der var IT kuratoren
10:40
at the Science Museum, and also the person who drove
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ved the Science Museum, og også personen der drev
10:43
the project to build a difference engine,
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projektet til at bygge en difference maskine,
10:44
and our plan is to build it.
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og vores plan er at bygge den.
10:47
Here in South Kensington, we will build the analytical engine.
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Her i South Kensington, vil vi bygge den analytiske maskine.
10:50
The project has a number of parts to it.
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Projektet består af nogle forskellige dele.
10:52
One was the scanning of Babbage's archive.
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Et af dem var at scanne Babbages arkiv.
10:55
That's been done. The second is now the study
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Det er sket. Det andet er nu at studere
10:57
of all of those plans to determine what to build.
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alle disse planer for at afgøre hvad vi skal bygge.
11:00
The third part is a computer simulation of that machine,
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Den tredje del er en computer simulation af den maskine,
11:04
and the last part is to physically build it at the Science Museum.
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og den sidste del er fysisk at bygge den ved the Science Museum.
11:07
When it's built, you'll finally be able to understand how a computer works,
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Når den er bygget, vil man endelig forstå hvordan en computer virker,
11:10
because rather than having a tiny chip in front of you,
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fordi i stedet for at have en lillebitte chip foran sig,
11:12
you've got to look at this humongous thing and say, "Ah,
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skal man kigge på denne enorme ting og sige, "Ah,
11:14
I see the memory operating, I see the CPU operating,
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jeg kan se hukommelsen arbejde, jeg kan se CPU'en arbejde
11:18
I hear it operating. I probably smell it operating." (Laughter)
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jeg kan høre den arbejde. Jeg lugter sikkert den arbejder." (Latter)
11:22
But in between that we're going to do a simulation.
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Men i mellem det kommer vi til at lave en simulation.
11:24
Babbage himself wrote, he said,
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Babbage skrev selv, han sagde,
11:26
as soon as the analytical engine exists,
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så snart den analytiske maskine eksisterer,
11:28
it will surely guide the future course of science.
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vil den helt sikkert guide den fremtidige kurs for videnskab.
11:31
Of course, he never built it, because he was always fiddling
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Selvfølgelig, byggede han den aldrig, fordi han altid fiflede
11:33
with new plans, but when it did get built, of course,
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med nye planer, men da den blev bygget, selvfølgelig,
11:35
in the 1940s, everything changed.
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i 1940'erne, ændrede den alt.
11:39
Now, I'll just give you a little taste of what it looks like
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Nu vil jeg bare give jer en lille forsmag på hvordan den ser ud
11:40
in motion with a video which shows
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i bevægelse, med en video der viser
11:43
just one part of the CPU mechanism working.
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bare en del af CPU mekanismen der arbejder.
11:51
So this is just three sets of cogs,
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Så dette er kun tre sæt tandhjul,
11:54
and it's going to add. This is the adding mechanism
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og den vil addere. Dette er den adderende mekanisme
11:57
in action, so you imagine this gigantic machine.
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i aktion, så man forestiller sig denne enorme maskine.
11:59
So, give me five years.
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Så, giv mig fem år.
12:00
Before the 2030s happen, we'll have it.
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Inden 2030'erne sker, har vi den.
12:03
Thank you very much. (Applause)
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Mange tak. (Bifald)
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