WEBVTT - Alan Turing: Codebreaker

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<v Speaker 1>Welcome to Stuff You Missed in History Class from house

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<v Speaker 1>stuff Works dot com. Hello, and welcome to the podcast.

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<v Speaker 1>I'm fair Dowdy and I'm Deblina chuk Reboarding, and today

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<v Speaker 1>we're going to be talking about Alan Turing. And he's

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<v Speaker 1>considered the father of computer science, the father of artificial intelligence,

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<v Speaker 1>and also one of the most important wartime code breakers

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<v Speaker 1>in World War Two. So quite a resume just right

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<v Speaker 1>off the bat there, and for listeners with a more

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<v Speaker 1>literary bent, he's also been called the Shelley of Science,

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<v Speaker 1>which is a name I kind of took a shine

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<v Speaker 1>to you. Yeah, and others have too. He's been a

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<v Speaker 1>really popular podcast suggestion, though his resumes focus on math

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<v Speaker 1>and technology has always kind of scared us off a

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<v Speaker 1>little bit. I think, I mean things like number theory, probability,

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<v Speaker 1>computer programs. It's not our usual subject matter stuff. I'm

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<v Speaker 1>I'm honestly a little scared to get into too deeply.

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<v Speaker 1>But fortunately some of his work really transcends the arcane.

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<v Speaker 1>It's it's understandable if you put some effort into it.

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<v Speaker 1>And there's a wealth of biographical materials to which I

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<v Speaker 1>feel like the last few podcasts I've done that has

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<v Speaker 1>not been the case, so it was a little it

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<v Speaker 1>was a little refreshing really to research Alan Turning and

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<v Speaker 1>know that there's so much out there about this man.

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<v Speaker 1>There are m I T lectures, there's a digital archive

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<v Speaker 1>at Alan Turing dot net. Their article has in just

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<v Speaker 1>about every science journal you can name, and there's a

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<v Speaker 1>How Stuff Works podcast to Yeah, Jonathan and Chris talked

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<v Speaker 1>about Turing's life less fall on tech stuff and so

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<v Speaker 1>that's a great place to turn if you want to

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<v Speaker 1>a little more of an in depth discussion on programming. Yeah, specifically,

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<v Speaker 1>I was glad though that even they admitted that the

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<v Speaker 1>map was kind of tricky to discuss. It's just so

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<v Speaker 1>high level. But they do really do a good job

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<v Speaker 1>covering the programming and in that side of Turning story.

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<v Speaker 1>But it's also June, which is Pride Month, and that's

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<v Speaker 1>why we've picked Turing for today's topic. He's a great,

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<v Speaker 1>if tragic example of a remarkable man, really a genius

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<v Speaker 1>whose life was so clearly defined by his homosexuality and

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<v Speaker 1>reminded me a lot of Oscar Wilde, who Katie and

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<v Speaker 1>I covered last year for Pride Month. He was another

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<v Speaker 1>man who was really destroyed by prejudice at the absolute

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<v Speaker 1>height of his achievement. So it's a great story to

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<v Speaker 1>learn about, and it's it's good to know about Turing's achievements,

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<v Speaker 1>but it is also a really, really sad story. Yeah

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<v Speaker 1>it is. But before we get to that, we're going

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<v Speaker 1>to start sort of with the beginnings of his life.

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<v Speaker 1>Alan Mathieson Turing was born June nine, twelve in London

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<v Speaker 1>to a member of the Indian civil service. His father

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<v Speaker 1>actually served in the Madrass presidency and his mother's father

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<v Speaker 1>was the chief engineer of the Madrass railways. But Turning

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<v Speaker 1>didn't grow up in India. Instead, his parents had the

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<v Speaker 1>kids fostered in British homes, which, as you can imagine,

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<v Speaker 1>was pretty lonely, and his parents didn't even come back

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<v Speaker 1>to England until nine, not until his dad retired. So

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<v Speaker 1>he spent prep school trying to do as much science

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<v Speaker 1>and math as he could get away with, which at

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<v Speaker 1>the time it wasn't really the agenda. I guess he

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<v Speaker 1>would be an outstanding student these days, but his skepticism

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<v Speaker 1>and his curiosity also sometimes got him in trouble with

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<v Speaker 1>with the authority figures at school. But in nineteen twenty eight,

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<v Speaker 1>he had his first experience of true intellectual stimulation. He

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<v Speaker 1>made friends with a boy who was one year ahead

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<v Speaker 1>of him, Christopher Morecambe and Jonathan and Chris. The way

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<v Speaker 1>they explained this, I really liked it the way they

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<v Speaker 1>explained the friendship. Essentially, the two kids could bounce ideas

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<v Speaker 1>off of each other and combine what they knew and

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<v Speaker 1>really come away from it with a deeper understanding. So

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<v Speaker 1>sort of a friendship of two minds that was really

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<v Speaker 1>influential in the young Turing's life. Yeah, So when Marcum

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<v Speaker 1>died suddenly in nineteen third, the teenage Churing was left

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<v Speaker 1>wondering what happened to Markham's consciousness. He was pretty devastated

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<v Speaker 1>and and wanted to explore that idea further. So for

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<v Speaker 1>three years he wrote letters to Markham's mother trying to

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<v Speaker 1>figure out the relationship between mind and matter. And that's

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<v Speaker 1>a quest that would later define his work and artificial intelligence,

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<v Speaker 1>which you're going to talk about a little more in

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<v Speaker 1>a few minutes. Yea, I will definitely be talking about that.

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<v Speaker 1>But in October nine, so while he's really in the

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<v Speaker 1>middle of his grief in and this new look into

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<v Speaker 1>the relationship between mind and matter. He goes off to

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<v Speaker 1>college King's College, Cambridge, and of course he studies math,

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<v Speaker 1>and it was really a different inspiring environment for him

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<v Speaker 1>to one where he could think creatively. He could study

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<v Speaker 1>things like philosophy and economics and surround himself by intelligent people,

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<v Speaker 1>and also recognized his own sexuality, and he socialized with

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<v Speaker 1>some of the anti war intellectual circle. But his politics

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<v Speaker 1>weren't really sharply defined during this period. His in recreation

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<v Speaker 1>was athletic. He liked running and rowing and failing, and

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<v Speaker 1>of course doing math. Yeah, by nineteen thirty four he

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<v Speaker 1>had received a distinguished degree, and by nineteen thirty five,

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<v Speaker 1>at age twenty two, he got a fellowship to King's College.

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<v Speaker 1>So well on this intellectual path of his. But it

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<v Speaker 1>was in nineteen thirty five that Turing started tackling and

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<v Speaker 1>intriguing mathematical question, and that's the question of decidability. And

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<v Speaker 1>during that process he envisions a machine that could complete

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<v Speaker 1>computational operations just like the human brain. The Turing machine

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<v Speaker 1>at that point was purely theoretical, but it could perform

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<v Speaker 1>any kind of operation. It was programmed to do, play chess,

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<v Speaker 1>to calculate numbers, anything, like that, and that idea develops

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<v Speaker 1>into the idea of a universal Turing machine which could

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<v Speaker 1>handle any task, and individual touring machine could. So, for example,

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<v Speaker 1>if the Turing machine is the early computer program, the

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<v Speaker 1>universal machine would be the early computer, the one machine

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<v Speaker 1>that can do any task it's programmed to do. Yeah,

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<v Speaker 1>and a guy named b Jack Copeland described the significance

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<v Speaker 1>of this creation in an M I. T lecture. And

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<v Speaker 1>it really helped me understand how important it was because

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<v Speaker 1>it might seem a little old hat if you if

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<v Speaker 1>you just look at it like a computer or computer program,

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<v Speaker 1>he said. Nowadays, when nearly everyone owns the physical realization

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<v Speaker 1>of a universal turning machine, Turing's idea of a one

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<v Speaker 1>stop shop computing machine is apt to seem as obvious

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<v Speaker 1>as the wheel. But in nineteen thirty six, engineers thought

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<v Speaker 1>in terms of building specific machines for particular purposes. So

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<v Speaker 1>this was really a revolutionary idea at the time, and

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<v Speaker 1>of course some people realized that, but not everyone knew

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<v Speaker 1>the full implications of of what this idea would eventually

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<v Speaker 1>come to. Yeah, And it would be more than a

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<v Speaker 1>decade before the physical realization of a turning machine was

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<v Speaker 1>actually built, until then Touring continued continued his studies at

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<v Speaker 1>Princeton and then returned to England and Cambridge before the

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<v Speaker 1>outbreak of World War two, and then on the first

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<v Speaker 1>full day of the war he joined the Government Code

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<v Speaker 1>and Cipher School, whose headquarters were at the now famous

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<v Speaker 1>Fleshley Park in London. Yeah, and the GCCS was busy

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<v Speaker 1>bringing together all of the country's top minds at this point,

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<v Speaker 1>so mathematicians like Touring, that also chess players and egyptologists,

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<v Speaker 1>all sorts of smart people with different kinds of skills,

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<v Speaker 1>anyone who they hoped might lend insight into breaking German codes,

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<v Speaker 1>which was what they were all about in the chief

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<v Speaker 1>Code at the time. The one that was really giving

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<v Speaker 1>them the most trouble was the Enigma, and Polish Cryptanalysis

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<v Speaker 1>had been working on the Enigma for a really long

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<v Speaker 1>time since the nineteen thirty two and they had created

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<v Speaker 1>a code breaking machine called the Bomba a few years

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<v Speaker 1>after that, but by nineteen thirty nine, Touring and others

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<v Speaker 1>were helping to create a new machine, one that could

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<v Speaker 1>adapt to the Enigma, because it got to where the

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<v Speaker 1>Germans were changing the codes every twenty four hours pretty much,

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<v Speaker 1>so he helped develop a new machine called the Bomb,

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<v Speaker 1>which could decipher LOOFWAFA Enigma communications. There's a really neat

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<v Speaker 1>British Heritage article by Gene pash Key about Bletchley Park,

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<v Speaker 1>which I recommend if you just sort of want to

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<v Speaker 1>get a picture of it. We were actually talking about

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<v Speaker 1>this might be a good episode in itself, but I

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<v Speaker 1>hope we don't give too much away. It nicely describes

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<v Speaker 1>rooms full of these machines and the operators who maintain them.

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<v Speaker 1>And in case you think that they're little, tiny devices

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<v Speaker 1>like we're used to today, little electronic devices, they're not

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<v Speaker 1>in any sense like that. They are large mechanical machines

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<v Speaker 1>that required a lot of upbeat. They had to be

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<v Speaker 1>kept clean, um they were. They took up the room essentially,

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<v Speaker 1>So these really big machines. They helped crack the Air

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<v Speaker 1>Force Enigma, but the German naval Enigma was kind of

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<v Speaker 1>a tougher nut to crack and also critical for winning

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<v Speaker 1>the Battle of the Atlantic. So Turing had worked out

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<v Speaker 1>part of the code in nineteen thirty nine, but the

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<v Speaker 1>big break in the situation came courtesy of a Royal

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<v Speaker 1>Navy when they captured an Enigma machine and code book

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<v Speaker 1>from a U boat. So by June one U boat

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<v Speaker 1>traffic was decipherable. Yeah, they had cracked the code, and

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<v Speaker 1>by early nineteen forty two, Bletchley Park was decoding thirty

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<v Speaker 1>nine thousand German transmissions a month, and of course some

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<v Speaker 1>of those were complaints about the underwear splitting down the

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<v Speaker 1>middle and that type of thing, but also some really

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<v Speaker 1>serious communications in there. It rose to an eventual eighty

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<v Speaker 1>four thousand transmissions a month, so pretty astonishing figure. And

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<v Speaker 1>with the nineteen forty three breaking of Germany's high level

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<v Speaker 1>binary teleprinter code, which was what Hitler himself used, and

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<v Speaker 1>high members of his government um Churchill, was able to

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<v Speaker 1>read Hitler's mail before Hitler could read it. According to

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<v Speaker 1>Posh's article, something I thought was interesting and something I

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<v Speaker 1>never knew about Bletchley Park. Yeah, me neither. But it

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<v Speaker 1>turns out the combined efforts of Bletchley Park shortened the

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<v Speaker 1>war by two years, and for his part, Turing received

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<v Speaker 1>the Order of the British Empire, which was one of

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<v Speaker 1>the most prestigious awards you could get. Yeah. And so

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<v Speaker 1>after the war he's looking for a new job and

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<v Speaker 1>he was recruited to the National Physics Laboratory, and the task,

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<v Speaker 1>conveniently enough was to design and build an electronic computer,

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<v Speaker 1>so essentially a real Turing machine. Seems like just the

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<v Speaker 1>guy to bring in to do this, and he called

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<v Speaker 1>his new design the Automatic Computing Engine, which has the

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<v Speaker 1>lovely acronym ACE. Would have made a good computer, uh,

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<v Speaker 1>and it was a really ambitious advanced design it. If

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<v Speaker 1>it had been built, it would have had the memory

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<v Speaker 1>capacity of an early Mac. So that's pretty astounding if

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<v Speaker 1>you consider this immediately after a World War Two. Yeah,

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<v Speaker 1>but things moved more slowly than they had at Bletchley Park.

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<v Speaker 1>There was lots of red tape to deal with, and

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<v Speaker 1>Turing's colleagues thought that the original ACE design was too

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<v Speaker 1>much and opted for a smaller machine, which was called

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<v Speaker 1>the Pilot Model ACE. So part of the problem here

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<v Speaker 1>was that Turing's wartime achievements were unrecognized due to their secrecy. Yeah,

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<v Speaker 1>he couldn't go out and say, well, guys at Bletchley Park,

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<v Speaker 1>I did this. I mean, he couldn't talk about any

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<v Speaker 1>of that stuff. Yeah, he couldn't brag on himself. So

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<v Speaker 1>to relieve the frustration and the stress of the situation,

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<v Speaker 1>he started long distance running, and it took an injury

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<v Speaker 1>actually to prevent him from qualifying for the nine Olympic

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<v Speaker 1>marathon team. So he was pretty good at it. He

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<v Speaker 1>was really good at it. It's it's one of those

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<v Speaker 1>I don't know, it's like a cherry on top for

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<v Speaker 1>somebody with so many talents that they would also be

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<v Speaker 1>an amazing athlete. Well, I was going to say, it's

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<v Speaker 1>almost not fair, but you're kinder than I am, obviously. Yeah, well,

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<v Speaker 1>whatever way you look at it. But by this point,

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<v Speaker 1>delays meant that the National Physics Laboratory wasn't going to

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<v Speaker 1>be the first place that built the first working electronics

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<v Speaker 1>stored program digital computer. That honor went to Manchester University

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<v Speaker 1>and it happened in June. So Turing obviously frustrated by

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<v Speaker 1>his his time at the National Physics Laboratory, and they

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<v Speaker 1>got beat out. Yeah, they got beat out. He wasn't

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<v Speaker 1>really listened to his achievements, and accomplishments weren't really appreciated

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<v Speaker 1>to the the level they deserved to be. So he

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<v Speaker 1>went to work in Manchester, oddly enough as the deputy

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<v Speaker 1>director even though there was no director of the program.

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<v Speaker 1>Kind of a strange little detail there. Yeah, but he

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<v Speaker 1>designed the programming system of the Ferronti Mark one, the

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<v Speaker 1>first commercially available digital electronic computer, so hopefully that was

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<v Speaker 1>a little solace for a consolation program. Yeah. Um. And

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<v Speaker 1>it was also during his time at Manchester that Turing

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<v Speaker 1>started to hypothesize about what would later be known as

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<v Speaker 1>artificial intelligence, and and I thought it was it was interesting,

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<v Speaker 1>and this is something that's kind of, I guess, difficult

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<v Speaker 1>for me to talk about with my limited knowledge of

0:12:53.920 --> 0:12:57.000
<v Speaker 1>computer programming and science. I just work on a computer.

0:12:57.080 --> 0:13:02.400
<v Speaker 1>I don't know what happens inside. But I impressed that Um,

0:13:02.440 --> 0:13:06.160
<v Speaker 1>even though he had he had the skill to work

0:13:06.200 --> 0:13:09.560
<v Speaker 1>on developing this field, he put the machine to use

0:13:09.679 --> 0:13:11.960
<v Speaker 1>right away, so I'm sure he was still considering about

0:13:12.040 --> 0:13:14.320
<v Speaker 1>how it could be advanced. But he started looking for

0:13:14.400 --> 0:13:17.240
<v Speaker 1>ways to use the Fronti Mark one, which I thought

0:13:17.320 --> 0:13:19.360
<v Speaker 1>was was pretty neat. Yeah. It kind of went back

0:13:19.360 --> 0:13:22.400
<v Speaker 1>to his old interest in the connection between mind and matter,

0:13:22.559 --> 0:13:26.480
<v Speaker 1>and in nineteen fifty Touring wrote a paper called Computing,

0:13:26.520 --> 0:13:30.120
<v Speaker 1>Machinery and Intelligence in the journal Mind. In it, he

0:13:30.240 --> 0:13:33.960
<v Speaker 1>proposed something called an imitation test. Today that's called the

0:13:34.000 --> 0:13:37.760
<v Speaker 1>Turing test, and the test basically provided a way to

0:13:37.880 --> 0:13:42.280
<v Speaker 1>judge the intelligence of a machine without bias. So an interrogator,

0:13:42.320 --> 0:13:45.400
<v Speaker 1>for example, would sit in an isolated room from two subjects,

0:13:45.960 --> 0:13:49.600
<v Speaker 1>one a person, one a machine, and the interrogator would

0:13:49.600 --> 0:13:52.559
<v Speaker 1>ask them both questions, and if the interrogator couldn't tell

0:13:52.600 --> 0:13:55.800
<v Speaker 1>who was who, then that meant the machine was thinking. Yeah,

0:13:55.880 --> 0:14:01.000
<v Speaker 1>it had intelligence in some definable way. And Turing even

0:14:01.040 --> 0:14:03.760
<v Speaker 1>predicted he had a lot of confidence in computers. He

0:14:03.880 --> 0:14:07.280
<v Speaker 1>predicted that by the year two thousand, a computer would

0:14:07.280 --> 0:14:11.240
<v Speaker 1>be so good at this game this, this Turing test,

0:14:11.840 --> 0:14:15.280
<v Speaker 1>an interrogator would not have more than a seventy percent

0:14:15.440 --> 0:14:18.680
<v Speaker 1>chance of correctly identifying who is who after five minutes.

0:14:18.840 --> 0:14:23.360
<v Speaker 1>And that is a very ambitious goal because according to

0:14:23.440 --> 0:14:28.080
<v Speaker 1>Encyclopedia Britannica, no computer today has even come close to

0:14:28.120 --> 0:14:31.560
<v Speaker 1>that standard. But Turing really he did have a lot

0:14:31.600 --> 0:14:36.160
<v Speaker 1>of hopes for computers. Yeah. He also hypothesized that one day, quote,

0:14:36.240 --> 0:14:38.840
<v Speaker 1>ladies would take their computers for walks in the park

0:14:38.960 --> 0:14:41.560
<v Speaker 1>and tell each other, my little computer said such a

0:14:41.560 --> 0:14:43.760
<v Speaker 1>funny thing in the morning. I think we're a little

0:14:43.800 --> 0:14:47.400
<v Speaker 1>closer to that one than the seventy percent goal. Maybe

0:14:47.560 --> 0:14:50.800
<v Speaker 1>I don't know. I still like my doggie though. Yeah.

0:14:50.920 --> 0:14:55.040
<v Speaker 1>So Turing continued to study artificial intelligence, but also stuff

0:14:55.040 --> 0:14:58.160
<v Speaker 1>like biological growth with the FRONTI Mark one I said

0:14:58.200 --> 0:15:00.960
<v Speaker 1>that he really did put that sheen too good youth

0:15:01.080 --> 0:15:04.360
<v Speaker 1>and his career was expanding into these different subject areas

0:15:04.360 --> 0:15:07.520
<v Speaker 1>and his recognition was also growing. He was elected as

0:15:07.520 --> 0:15:10.280
<v Speaker 1>a Fellow of the Royal Society of London in March

0:15:10.360 --> 0:15:13.880
<v Speaker 1>nineteen fifty one. That's another really prestigious honor. He was

0:15:14.240 --> 0:15:18.560
<v Speaker 1>appointed to Readership in the Theory of Computing at Manchester,

0:15:18.600 --> 0:15:21.840
<v Speaker 1>which sounds like a very modern title. But in nineteen

0:15:21.880 --> 0:15:24.840
<v Speaker 1>fifty two things took a turn for the worse in

0:15:24.920 --> 0:15:28.400
<v Speaker 1>his life after a break in in his Manchester home

0:15:28.520 --> 0:15:31.560
<v Speaker 1>and he told the police that he thought the burglar

0:15:31.680 --> 0:15:34.640
<v Speaker 1>was probably connected to a man he was quote having

0:15:34.680 --> 0:15:38.280
<v Speaker 1>an affair with, and he had been pretty open about

0:15:38.320 --> 0:15:41.800
<v Speaker 1>his sexuality since college. During his Letchley Park days, he

0:15:41.880 --> 0:15:45.600
<v Speaker 1>had proposed to a colleague, Joan Clark, but broke it off.

0:15:45.600 --> 0:15:48.400
<v Speaker 1>He told her that he was gay and couldn't marry her.

0:15:48.800 --> 0:15:51.920
<v Speaker 1>But being so frank with the police in this way

0:15:52.000 --> 0:15:55.080
<v Speaker 1>was really dangerous because at the time homosexuality was a

0:15:55.080 --> 0:15:59.000
<v Speaker 1>felony in Great Britain. And so Turing was tried and

0:15:59.040 --> 0:16:03.440
<v Speaker 1>convicted of growth indecency, and he was faced with a

0:16:03.480 --> 0:16:07.720
<v Speaker 1>really terrible choice. Yeah. His two choices were prison or

0:16:07.880 --> 0:16:12.320
<v Speaker 1>hormone injections of estrogen, so chemical sterilization. Yeah, and he

0:16:12.440 --> 0:16:16.240
<v Speaker 1>chose the latter and also lost his security clearance as

0:16:16.240 --> 0:16:20.040
<v Speaker 1>a result, So no government codes, no government computers. And

0:16:20.160 --> 0:16:23.480
<v Speaker 1>on June seven, nineteen fifty four, he was found dead

0:16:23.480 --> 0:16:26.680
<v Speaker 1>by his housekeeper with a partially eaten cyanide laced apple

0:16:26.760 --> 0:16:30.120
<v Speaker 1>by his side. Now, some have theorized that he was

0:16:30.160 --> 0:16:33.400
<v Speaker 1>assassinated as a security risk, but it's pretty much widely

0:16:33.440 --> 0:16:36.880
<v Speaker 1>accepted nowadays that Turing committed suicide, and even then, right,

0:16:36.920 --> 0:16:40.160
<v Speaker 1>and it's also accepted that Turing did kill himself in

0:16:40.160 --> 0:16:43.240
<v Speaker 1>in this particular way so that it would allow his

0:16:43.320 --> 0:16:46.560
<v Speaker 1>mother to interpret the situation as an accident, since he'd

0:16:46.560 --> 0:16:48.720
<v Speaker 1>been working with cyanide and other chemicals in his work,

0:16:49.080 --> 0:16:51.440
<v Speaker 1>so she thought that he had some cyanide on his

0:16:51.520 --> 0:16:55.000
<v Speaker 1>hands and he ate an apple and accidentally poisoned himself.

0:16:55.080 --> 0:16:59.320
<v Speaker 1>But assuming he did commit suicide, which is what most

0:16:59.360 --> 0:17:02.920
<v Speaker 1>people have feeling, it's a really tragic end to to

0:17:04.320 --> 0:17:06.920
<v Speaker 1>this great life. And and at the heels of this

0:17:07.160 --> 0:17:11.600
<v Speaker 1>terrible prosecution. So in two thousand nine, Prime Minister Gordon

0:17:11.680 --> 0:17:15.520
<v Speaker 1>Brown issued a formal apology for the British Government's treatment

0:17:15.560 --> 0:17:18.360
<v Speaker 1>of Touring, and I'm going to read just part of it.

0:17:18.800 --> 0:17:22.199
<v Speaker 1>He said, Touring truly was one of those individuals we

0:17:22.240 --> 0:17:25.200
<v Speaker 1>can point to whose unique contribution it helped to turn

0:17:25.240 --> 0:17:27.439
<v Speaker 1>the tide of war. The debt of gratitude he has

0:17:27.480 --> 0:17:30.280
<v Speaker 1>owed makes it all the more horrifying. Therefore, that he

0:17:30.359 --> 0:17:33.400
<v Speaker 1>was treated so inhumanely on the behalf of the British

0:17:33.440 --> 0:17:36.600
<v Speaker 1>government and all those who live freely thanks to Alan's work,

0:17:37.000 --> 0:17:39.800
<v Speaker 1>I'm very proud to say we're sorry. You deserve so

0:17:39.920 --> 0:17:43.040
<v Speaker 1>much better. So two thousand twelve is Alan Turing Year,

0:17:43.520 --> 0:17:46.720
<v Speaker 1>and a state side recognition has been long standing. The

0:17:46.840 --> 0:17:50.080
<v Speaker 1>US Association for Computer Machinery has given out the Touring

0:17:50.080 --> 0:17:54.520
<v Speaker 1>Awards since nineteen sixty six, and if anything, as technology

0:17:54.560 --> 0:17:57.840
<v Speaker 1>develops in new areas of steady emerge, Alan Turing will

0:17:57.880 --> 0:18:00.720
<v Speaker 1>probably just become more recognized as the years on. Yeah,

0:18:00.760 --> 0:18:04.680
<v Speaker 1>if you think about how many career descriptions that apply

0:18:04.760 --> 0:18:08.040
<v Speaker 1>to his name, you know, father of artificial intelligence, that

0:18:08.119 --> 0:18:10.720
<v Speaker 1>sort of thing that didn't exist when he was alive.

0:18:11.119 --> 0:18:13.840
<v Speaker 1>We can only imagine that more will be added over

0:18:13.880 --> 0:18:18.520
<v Speaker 1>the years as science and technology advances. Yeah, and we

0:18:18.600 --> 0:18:21.320
<v Speaker 1>have a lot of information about this kind of stuff

0:18:21.359 --> 0:18:23.720
<v Speaker 1>on our site, which we will tell you more about

0:18:23.760 --> 0:18:26.280
<v Speaker 1>at the end. But if you have anything to contribute

0:18:26.320 --> 0:18:28.960
<v Speaker 1>on this topic, you know anything else about Touring's research,

0:18:29.160 --> 0:18:31.359
<v Speaker 1>or maybe an anecdote about his life that we missed,

0:18:31.359 --> 0:18:33.760
<v Speaker 1>please write us at history podcast at how staff works

0:18:33.800 --> 0:18:36.160
<v Speaker 1>dot com. You can also look us up on Twitter

0:18:36.200 --> 0:18:38.760
<v Speaker 1>at missed in History or on Facebook. Again. We also

0:18:38.840 --> 0:18:41.440
<v Speaker 1>do have so many tech articles. You can find them

0:18:41.480 --> 0:18:44.800
<v Speaker 1>by visiting our website and just going right to the

0:18:44.840 --> 0:18:48.000
<v Speaker 1>tech cab and looking from there you'll find tons of

0:18:48.040 --> 0:18:52.040
<v Speaker 1>stuff that interests you if you are into computer science

0:18:52.119 --> 0:18:56.359
<v Speaker 1>or programming or math or anything like that. All of

0:18:56.359 --> 0:19:00.240
<v Speaker 1>it is on our website at www dot ho stuff

0:19:00.280 --> 0:19:10.040
<v Speaker 1>works dot com. Mm hmmmm. For more on this and

0:19:10.080 --> 0:19:18.440
<v Speaker 1>thousands of other topics, does it how stuff works dot com.

0:19:17.000 --> 0:19:36.440
<v Speaker 1>H m hm, m m mmmm.