WEBVTT - TechStuff Classic: Was Ada Lovelace the first computer programmer?

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<v Speaker 1>Get in touch with technology with tech Stuff from how

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<v Speaker 1>stuff works dot com. Hey there, and welcome to tech Stuff.

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<v Speaker 1>I'm your host, Jonathan Strickland. I'm an executive producer with

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<v Speaker 1>How Stuff Works, and I heart radio and I love

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<v Speaker 1>all things tech and his time for another classic episode

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<v Speaker 1>of tech Stuff. This episode originally published on May two,

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<v Speaker 1>thousand ten, and I wanted to publish it today. On

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<v Speaker 1>March eight two is when the republication date is because

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<v Speaker 1>it's International Women's Day, and I thought what more appropriate

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<v Speaker 1>way to celebrate International Women's Day than by celebrating one

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<v Speaker 1>of the most remarkable women in tech history, Ada Lovelace.

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<v Speaker 1>So this episode has the title was Ada Lovelace the

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<v Speaker 1>first computer Programmer, which is particular regularly fascinating because she

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<v Speaker 1>lived at a time before computers. Chris Pallette and I

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<v Speaker 1>talk about Ada and you can hear how much we

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<v Speaker 1>fell in love with her as we did our research.

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<v Speaker 1>I hope you enjoy this classic episode. We got two

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<v Speaker 1>requests in the space of a week, which is not

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<v Speaker 1>a big surprise considering the the subject of this um

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<v Speaker 1>this podcast, it's a listener mail rock blow Yes. So

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<v Speaker 1>this comes from Bridget and Adam. So I'll read bridgets first,

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<v Speaker 1>Bridget is from Australia, but I'm not going to try

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<v Speaker 1>and do an Australian accent because whenever I do, I

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<v Speaker 1>sound like a New Zealander who suffered massive head trauma.

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<v Speaker 1>So here is bridgets email. Good day, Chris and Jonathan.

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<v Speaker 1>I've been spending some time lately looking to inspirational people

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<v Speaker 1>in hope of finding a suitable name for my soon

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<v Speaker 1>to be born child. Such searching brought me to Aida Lovelace,

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<v Speaker 1>otherwise known as the Mother of Coding. I've done a

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<v Speaker 1>little search into Ada and found that there's some discussion

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<v Speaker 1>as to whether she deserves this moniker. Was Ada Lovelace

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<v Speaker 1>the first computer programmer and therefore a worthy namesake for

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<v Speaker 1>my future daughter? Let me know what you think. Cheers,

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<v Speaker 1>Bridget and Adams. Was I recently learned a little about

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<v Speaker 1>Ada Lovelace, the first woman to write an algorithm that

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<v Speaker 1>would be read by a computer, and thought it would

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<v Speaker 1>make a great podcast. I love the show. Keep up

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<v Speaker 1>the amazing work. Can you also do a show on

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<v Speaker 1>the LHC. Please cheers? Insert beer clink sound here. Alright,

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<v Speaker 1>Bridget and Adam, this is our podcast about Ada, not

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<v Speaker 1>about the lhc um jan, we can't do this podcast.

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<v Speaker 1>What do you mean we can't do this podcast? It's

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<v Speaker 1>already been done. I mean Stuff you Missed in History Class,

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<v Speaker 1>it's already done a whole podcast. There's a podcast called

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<v Speaker 1>stuff you Missed in History Class? There is It's wonderful,

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<v Speaker 1>is that the one with Katy and Sarah? It is indeed,

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<v Speaker 1>and they talked about Ada Lovelace already they did, and

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<v Speaker 1>they did really Well, you know what we should do,

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<v Speaker 1>what's that? We should just have their podcast play and

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<v Speaker 1>we'll sign off. All right, we'll just insert their podcast

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<v Speaker 1>here and then no, we can't. We can't do that.

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<v Speaker 1>We can't do that. Besides, they specifically mentioned us in

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<v Speaker 1>that podcast. Well, maybe what we should do then is

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<v Speaker 1>talk specifically about her computer programming expertise and how she

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<v Speaker 1>managed to do that considering she lived in the eighteen hundreds. Yeah,

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<v Speaker 1>you would think she lived before computers. How could she

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<v Speaker 1>have written a computer programmer? Program? Rather not she wrote

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<v Speaker 1>a programmer. That's been a long week. Well, we're gonna

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<v Speaker 1>do this on Friday. Actual clearly not, but we're going

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<v Speaker 1>to tell you how she wrote a computer program. First

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<v Speaker 1>of all, Bridget I'm going to get this all the way.

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<v Speaker 1>First of all, congratulations on your child, Um, and also

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<v Speaker 1>Aida is more than worthy, I would say. In fact,

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<v Speaker 1>I kind of fell in love with this lady the

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<v Speaker 1>more I read about her. Actually her first name was

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<v Speaker 1>an Aida. No, it was Augusta Augusta Ada Byron. Yeah,

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<v Speaker 1>Augusta Ada Byron, daughter of Lord Byron the poet. Yes.

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<v Speaker 1>She was born December eighteen fifteen, the daughter of Lord

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<v Speaker 1>George Gordon Byron and Annabella Millbank Byron. Um. Actually, your

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<v Speaker 1>parents married on the second of January and eighteen fifteen,

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<v Speaker 1>but were separated by January six, eighteen sixteen. YEA, so

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<v Speaker 1>the marriage lasted a full year and a week and

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<v Speaker 1>a half, just long enough to uh to have the

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<v Speaker 1>first computer programmer born to them, right, Um, so yes,

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<v Speaker 1>they're they're marriage was not a happy one. Her parents

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<v Speaker 1>and uh. In fact, um young Ada was never to meet.

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<v Speaker 1>Her father was separated. Um, she lived with her mom,

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<v Speaker 1>and her mom had decided that Aida did not really

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<v Speaker 1>need to have the distractions of poetry. She thought that

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<v Speaker 1>Byron's rather unpredictable personality let's call it that showy um

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<v Speaker 1>was due to his romanticism and his obsession with poetry. Yeah,

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<v Speaker 1>let's just and and Annabella. The mother felt that the

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<v Speaker 1>that such qualities were not really admirable. She didn't want

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<v Speaker 1>her daughter to have the same sort of personality and

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<v Speaker 1>uh and and wanting lifestyle as the father did had

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<v Speaker 1>so um, so she thought, well, what's the least poetic

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<v Speaker 1>thing I can push my daughter into. I happen to

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<v Speaker 1>be an amateur mathematician. Let's push her into mathematics. Yeah. Actually, uh.

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<v Speaker 1>As a matter of fact, I found out that Lord

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<v Speaker 1>Byron had referred to his very brief married married wife. Um,

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<v Speaker 1>he called Annabella the Princess of parallelograms. Yes, that was

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<v Speaker 1>a lot poetic. It was not meant to be a compliment, nonetheless,

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<v Speaker 1>but it does illustrate that she had a mathematical bent herself.

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<v Speaker 1>And what I find interesting is that not only were

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<v Speaker 1>Lord Byron's poetical genes evident later in Ada's life, but

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<v Speaker 1>it's actually she ended up being sort of a blend

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<v Speaker 1>of both of her parents, as is appropriate for this case. Yeah. Yeah,

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<v Speaker 1>and Ada herself received a wonderful, wonderful title given to

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<v Speaker 1>her by by Charles Babbage, who will will discuss at

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<v Speaker 1>length in a little bit. Uh. The enchantress of numbers,

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<v Speaker 1>which I think is an amazing, amazing phrase and very

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<v Speaker 1>fitting as well. So Aida grows up UM with some

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<v Speaker 1>of the best tutors in that you can imagine. During

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<v Speaker 1>this time she studies mathematics and has absolutely fascinated with them,

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<v Speaker 1>the subject of mathematics, and is incredibly adept, an amazing student.

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<v Speaker 1>In fact, the more we research data, the more I

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<v Speaker 1>realized anyway, that she was phenomenally more intelligent than I am.

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<v Speaker 1>I mean, I can't even really compare UM. She was

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<v Speaker 1>able to to understand algorithms that that completely baffle me,

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<v Speaker 1>and I was able to to really study them in

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<v Speaker 1>a way that she found fascinating. I find them perplexing

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<v Speaker 1>and maddening. She found it as having its own kind

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<v Speaker 1>of poetry. UM. And in a way you think about it, well,

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<v Speaker 1>this kind of makes sense, you know, we we when

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<v Speaker 1>you really look at algorithms, we're talking about things like

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<v Speaker 1>number theory and how the universe sort of works, like

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<v Speaker 1>how things kind of fit together. And we expressed this

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<v Speaker 1>more often than not through mathematic equations and algorithms and

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<v Speaker 1>things of that nature. And she was able to see

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<v Speaker 1>that kind of stuff. I'm under I can understand the

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<v Speaker 1>underlying concept, but when you get beyond that, it just

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<v Speaker 1>I feel like I'm a fish out of water. Yeah,

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<v Speaker 1>I understand. Well, let's see, Um, somebody who else who

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<v Speaker 1>was fascinated with her would be William King. Yes, he

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<v Speaker 1>was so fascinated. Whether he married her? Well, the first

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<v Speaker 1>William King who was who was her tutor? I found

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<v Speaker 1>that I found this interesting. I mean the two different

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<v Speaker 1>William Kings. Well, no, actually I did mean I did

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<v Speaker 1>mean her future husband. But it was really funny because

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<v Speaker 1>it confused me for a second when I was doing

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<v Speaker 1>the research. I said, William King was her tutor, and

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<v Speaker 1>then it turns out there was a William King, not

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<v Speaker 1>the one she married, as her tutor, who was apparently

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<v Speaker 1>immediately feeling out of his depth as he talked to her.

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<v Speaker 1>He realized that she had a much more innate grasp

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<v Speaker 1>of mathematics than he did, so he he actually bowed

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<v Speaker 1>out very quickly. He was one of the many many

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<v Speaker 1>But yeah, less than a year later, apparently he uh

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<v Speaker 1>ad married the other William King, who um was the

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<v Speaker 1>eighth Baron King and was an earl, made an earl

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<v Speaker 1>in ninety eight, so that's when she became eighteen thirty eight, dude, Sorry, So, yes,

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<v Speaker 1>he was made an earl in eighteen thirty eight, and

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<v Speaker 1>that's when she became the Countess of Lovelace. Yes, so

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<v Speaker 1>he usually just referred to her as Ada Lovelace. Uh Now.

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<v Speaker 1>Aida continued her her almost obsession with mathematics throughout her life,

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<v Speaker 1>which unfortunately was tragically short Ada us away from after

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<v Speaker 1>contracting cancer. Um. I think she was thirty seven. It

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<v Speaker 1>was eighteen fifty two, and she died November eighteen eighteen. Right.

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<v Speaker 1>Uh so, but during that her life she ended up

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<v Speaker 1>encountering lots of remarkable people, including you know, like the

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<v Speaker 1>author of Charles Dickens, who became a close friend. One

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<v Speaker 1>of her other friends was Charles Babbage. Yeah, she met

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<v Speaker 1>she met Babbage, who was the Leucassian professor of mathematics

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<v Speaker 1>at Cambridge. She met him when she was just seventeen. Um,

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<v Speaker 1>which is a pretty interesting eighteen thirty three was it

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<v Speaker 1>went around when that happened. Chris and I have more

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<v Speaker 1>to say about Ada Lovelace in just a moment, But

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<v Speaker 1>first let's take a quick break. Should we get into

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<v Speaker 1>the the time when she was talking at a party

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<v Speaker 1>Babbage about this new machine Um, he had come up

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<v Speaker 1>with this thing, the analytical Engine. Yes, all right, well

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<v Speaker 1>let's let's backtrack just a touch before we get into

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<v Speaker 1>the analytical Engine. That was not the first machine that

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<v Speaker 1>Babbage had proposed. No, no, not at all. As a

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<v Speaker 1>matter of fact, we brought it up before from the past, right,

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<v Speaker 1>that was a fun podcast, Um, But yes, this was

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<v Speaker 1>a more recent one. And as we talked about on

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<v Speaker 1>that podcast, Um, Babbage was having difficulty getting funding for

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<v Speaker 1>these amazing machines because people just didn't get it. Babbage

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<v Speaker 1>was able to get subfunding for his first uh machine,

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<v Speaker 1>which is called the Difference Engine. Yes, it was different

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<v Speaker 1>from the other one, right, it was a little more

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<v Speaker 1>simplistic than his idea for the analytical engine. Right now.

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<v Speaker 1>The Difference Engine, he managed to get some money to

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<v Speaker 1>fund it, but his the process of building it was

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<v Speaker 1>a very long, laborious process. They had to actually machine

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<v Speaker 1>these parts by hand and and try and it all together.

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<v Speaker 1>And uh, he kind of ran out of money before

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<v Speaker 1>he ran out of machine. Machine was not done yet.

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<v Speaker 1>And um it was in the process of this whole

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<v Speaker 1>construction phase that he got the idea for the analytical machine,

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<v Speaker 1>which was even more ambitious than the difference engine. Right,

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<v Speaker 1>So the analytical engine was going to be uh more

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<v Speaker 1>complex and be able to do more than the difference engine,

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<v Speaker 1>which you could kind of say was essentially a giant calculator, right.

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<v Speaker 1>The analytical engine was more like a very primitive computer.

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<v Speaker 1>And as a matter of fact that at that time,

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<v Speaker 1>that whole time thing, the fact that it was taking

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<v Speaker 1>a long time to build, did not help him when

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<v Speaker 1>he was seeking funding for the analytical engine. Right. There

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<v Speaker 1>were two things that two things that budd that kind

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<v Speaker 1>of plagued him when he was trying to get some money.

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<v Speaker 1>One was that he had not finished the difference engine,

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<v Speaker 1>and that was kind of what he was being paid

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<v Speaker 1>for in the first place. So his funders were saying,

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<v Speaker 1>until you build this other machine you promised us several

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<v Speaker 1>years ago, we ain't given you no more money. Yeah,

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<v Speaker 1>And then the other part of they probably did say

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<v Speaker 1>like that out They probably said with an English accents,

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<v Speaker 1>that's probably till you go and fish daddy, we ain't

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<v Speaker 1>given you no more money. They're apparently all glad, apparently

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<v Speaker 1>apparently all played by Dick van Dyke. So anyway, at

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<v Speaker 1>any rate, so Sabbage is in a tight spot. But

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<v Speaker 1>he comes up with this idea of the analytical engine,

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<v Speaker 1>and of course he's very passionate about it, so he's

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<v Speaker 1>blabbering on and on about it at parties. Yes, then

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<v Speaker 1>you have young Ada Lovelace, who overhears such talk thinks

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<v Speaker 1>this sounds absolutely fascinating. And not only does she think

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<v Speaker 1>it's interesting, she immediately sees the potential to use such

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<v Speaker 1>a device far beyond even Babbage is uh concepts. Sabbage

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<v Speaker 1>is thinking, well, this would allow you to create an

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<v Speaker 1>engine that would be able to generate the numbers that

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<v Speaker 1>you would find in a logarithmic table. Yes, because until

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<v Speaker 1>that point you pretty much had to be able to

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<v Speaker 1>come up with those figures by doing the calculations all yourself.

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<v Speaker 1>And these calculations were pretty complex, and it was easy

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<v Speaker 1>to make a mistake along the way, which would of

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<v Speaker 1>course affect all of your figures from that point on. Uh.

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<v Speaker 1>And he he just he was sitting down one day

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<v Speaker 1>and he was thinking, what if I could What if

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<v Speaker 1>there are a machine, some steam powered machine that could

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<v Speaker 1>generate these numbers so I wouldn't have to and then

0:13:25.320 --> 0:13:28.640
<v Speaker 1>I could I could generate them as far out as

0:13:28.840 --> 0:13:31.440
<v Speaker 1>I wanted to. Uh. And I wouldn't have to worry

0:13:31.440 --> 0:13:34.440
<v Speaker 1>about error because the machine would just be following the

0:13:34.520 --> 0:13:38.880
<v Speaker 1>same algorithm over and over and over again. Yes, well,

0:13:39.080 --> 0:13:41.680
<v Speaker 1>Ada thought of that, and she even went further. She

0:13:41.760 --> 0:13:46.559
<v Speaker 1>said that you could potentially use mathematics to represent other

0:13:46.640 --> 0:13:53.720
<v Speaker 1>things like text or images or even music. She would

0:13:53.800 --> 0:13:59.720
<v Speaker 1>had foreseen computers. This remarkable woman was able to look

0:13:59.760 --> 0:14:02.319
<v Speaker 1>at this machine that really was meant to be able

0:14:02.320 --> 0:14:06.319
<v Speaker 1>to run algorithms so that you could generate more mathematical

0:14:06.360 --> 0:14:09.640
<v Speaker 1>figures mainly in the in the pursuit of mathematics itself

0:14:09.679 --> 0:14:12.760
<v Speaker 1>and things like number theory, um, and she was able

0:14:12.800 --> 0:14:19.360
<v Speaker 1>to see even grander uses, which to me is it's

0:14:19.400 --> 0:14:22.120
<v Speaker 1>it's it's one of those discoveries that I just think

0:14:22.680 --> 0:14:26.720
<v Speaker 1>before that time, no one had ever really even considered this,

0:14:26.840 --> 0:14:29.640
<v Speaker 1>and then she just comes up with it just by

0:14:29.840 --> 0:14:33.520
<v Speaker 1>looking at this thing and seeing its potential. Yes, it's

0:14:33.560 --> 0:14:37.600
<v Speaker 1>that's where I'm like, Okay, this woman was way above

0:14:37.640 --> 0:14:39.920
<v Speaker 1>and beyond smarter than I am. All right, stop geeking

0:14:39.960 --> 0:14:41.560
<v Speaker 1>out for a second. Okay, I'm sorry. I will I

0:14:41.560 --> 0:14:43.440
<v Speaker 1>will give you a quote from her. As a matter

0:14:43.440 --> 0:14:46.000
<v Speaker 1>of fact, she h she compared to to Jacquard's looms

0:14:46.040 --> 0:14:49.320
<v Speaker 1>if you will remember we've mentioned that machine a couple

0:14:49.320 --> 0:14:52.000
<v Speaker 1>of times on the podcast. I believe, Um, this was

0:14:52.080 --> 0:14:57.880
<v Speaker 1>a loom that was invented by uh Monsieur Jacquard and

0:14:58.880 --> 0:15:01.640
<v Speaker 1>basically made a lot of unhappy because it used punch

0:15:01.720 --> 0:15:05.040
<v Speaker 1>cards to automate parts of the weaving process. You could

0:15:05.080 --> 0:15:06.840
<v Speaker 1>put in a pattern, a card for a pattern, and

0:15:06.960 --> 0:15:10.600
<v Speaker 1>the loom would be able to weave that pattern into

0:15:10.640 --> 0:15:14.680
<v Speaker 1>the fabric. While she said, um, we may say most

0:15:14.800 --> 0:15:18.600
<v Speaker 1>aptly that the analytical engine weaves algebraical patterns just as

0:15:18.600 --> 0:15:23.280
<v Speaker 1>the Jacquard loom weaves flowers and leaves. So see, there

0:15:23.280 --> 0:15:25.120
<v Speaker 1>you go, there's that whole poetry thing she's you know,

0:15:25.320 --> 0:15:28.640
<v Speaker 1>that's just in there. Yeah. Well, and and like I said,

0:15:28.800 --> 0:15:32.800
<v Speaker 1>even if you even if you ignore the language, and

0:15:32.960 --> 0:15:36.080
<v Speaker 1>Ada was very gifted with with words, just as she

0:15:36.160 --> 0:15:39.280
<v Speaker 1>was with mathematics. Um, the fact that she could see

0:15:39.880 --> 0:15:44.400
<v Speaker 1>the poetry in in math is again very phenomenal to me. Well,

0:15:44.400 --> 0:15:47.120
<v Speaker 1>I meant that she was making connections between something that

0:15:47.160 --> 0:15:50.720
<v Speaker 1>was completely, well not completely, but and wide in a

0:15:50.720 --> 0:15:53.240
<v Speaker 1>wide way. It was it was not very related directly

0:15:53.320 --> 0:15:58.200
<v Speaker 1>to this analytical engine. Uh. Also you might notice, um,

0:15:58.280 --> 0:16:01.200
<v Speaker 1>she sort of foresaw the use of punch cards, uh,

0:16:01.440 --> 0:16:04.080
<v Speaker 1>to be used for programs. So she's already thinking in

0:16:04.080 --> 0:16:07.840
<v Speaker 1>a programmatic sense. Yeah. Actually, Babbage himself talked a little

0:16:07.880 --> 0:16:13.680
<v Speaker 1>bit about punch cards when he wrote about his analytical engine. Um. Yeah,

0:16:13.760 --> 0:16:16.920
<v Speaker 1>and in his sense he was talking about the the

0:16:17.040 --> 0:16:19.520
<v Speaker 1>use for punch cards for two purposes. And we've talked

0:16:19.520 --> 0:16:23.480
<v Speaker 1>about this. Babbage also we we shouldn't we shouldn't know.

0:16:23.560 --> 0:16:26.720
<v Speaker 1>He's leave him out of this amazing innovation as well.

0:16:27.440 --> 0:16:32.280
<v Speaker 1>Babbage was also amazing in his ability to foresee the

0:16:32.320 --> 0:16:35.840
<v Speaker 1>future as far as computers are concerned. Now, granted, his

0:16:35.960 --> 0:16:39.120
<v Speaker 1>devices were all mechanical as opposed to electrical, Yes, but

0:16:39.320 --> 0:16:45.360
<v Speaker 1>they the principles of electronic computing are based very firmly

0:16:45.440 --> 0:16:50.760
<v Speaker 1>on Babbage's discoveries. Um. Babbage foresaw the use of punch

0:16:50.840 --> 0:16:55.040
<v Speaker 1>cards using a few different kinds of punch cards. One

0:16:55.040 --> 0:16:58.080
<v Speaker 1>would be a set of instructions, and the other would

0:16:58.080 --> 0:17:02.720
<v Speaker 1>be would represent the constants variables of whatever formula you're

0:17:02.720 --> 0:17:05.040
<v Speaker 1>plugging in. Right, So one is the program and the

0:17:05.080 --> 0:17:07.080
<v Speaker 1>other is the information that you plug into the program

0:17:07.119 --> 0:17:09.880
<v Speaker 1>to get a result. Exactly the same sort of thing

0:17:09.880 --> 0:17:13.120
<v Speaker 1>that we see in microprocessors today. What Babbage was doing.

0:17:13.280 --> 0:17:18.720
<v Speaker 1>Was was the the precursor to the micro processor. It's

0:17:18.760 --> 0:17:21.960
<v Speaker 1>just his was a macro processor because it was enormous

0:17:21.960 --> 0:17:24.200
<v Speaker 1>and weighed tons and tons. If he had ever managed

0:17:24.240 --> 0:17:27.400
<v Speaker 1>to actually build it at the size of that silicon wafer, yeah,

0:17:27.440 --> 0:17:30.480
<v Speaker 1>he never. He never did build the analytical engine. He

0:17:30.560 --> 0:17:32.760
<v Speaker 1>did he realized during his lifetime that it was not

0:17:32.840 --> 0:17:34.560
<v Speaker 1>going to happen, and I'm sure it was a massive

0:17:34.600 --> 0:17:37.920
<v Speaker 1>disappointment to him. But they have been made since. Yes,

0:17:37.960 --> 0:17:41.399
<v Speaker 1>there was one created almost like an art project in

0:17:41.440 --> 0:17:44.200
<v Speaker 1>the early nineties, and um, fun I think it's in

0:17:44.240 --> 0:17:46.200
<v Speaker 1>a museum now, right, Yeah, Actually, I think I think

0:17:46.200 --> 0:17:49.080
<v Speaker 1>there may be two. To be honest, I think it's

0:17:49.080 --> 0:17:50.960
<v Speaker 1>one of the things that I ran across the mention

0:17:51.040 --> 0:17:53.600
<v Speaker 1>of as I was looking specifically for information about it

0:17:53.720 --> 0:17:55.360
<v Speaker 1>to love life, so I didn't follow it, but yeah,

0:17:55.359 --> 0:17:57.000
<v Speaker 1>I think I think I saw that there were two

0:17:57.320 --> 0:18:00.520
<v Speaker 1>in existence now that had been created just because you

0:18:00.600 --> 0:18:04.399
<v Speaker 1>can and and Babbage actually wrote that the analytical engine

0:18:04.400 --> 0:18:08.760
<v Speaker 1>would eventually contain an apparatus for printing on paper or

0:18:08.800 --> 0:18:13.080
<v Speaker 1>if required, up to two copies printed out on paper

0:18:14.040 --> 0:18:17.080
<v Speaker 1>ahead of the iPad. I'm kidding their software for that.

0:18:18.280 --> 0:18:21.639
<v Speaker 1>It would have a means for producing a stereotype mold

0:18:21.720 --> 0:18:25.240
<v Speaker 1>of the tables or results it computes, and it would

0:18:25.240 --> 0:18:28.679
<v Speaker 1>have a mechanism for punching on blank pasteboard cards or

0:18:28.800 --> 0:18:32.960
<v Speaker 1>metal plates the numerical results of any of its computations. So,

0:18:33.080 --> 0:18:35.719
<v Speaker 1>in other words, you would read it by looking at

0:18:35.720 --> 0:18:37.919
<v Speaker 1>a punch card. You would find the results of whatever

0:18:37.960 --> 0:18:41.480
<v Speaker 1>it was that you were trying to uh to calculate,

0:18:41.760 --> 0:18:47.560
<v Speaker 1>and the his his method of designating a punch card

0:18:47.560 --> 0:18:52.159
<v Speaker 1>was actually pretty simple. But each punch card had um

0:18:52.400 --> 0:18:57.119
<v Speaker 1>had several columns of holes or columns where you could

0:18:57.160 --> 0:19:02.320
<v Speaker 1>punch a hole and ten rows. And if you punched

0:19:02.400 --> 0:19:05.439
<v Speaker 1>the top hole, that would be a one. If you

0:19:05.480 --> 0:19:08.040
<v Speaker 1>punched the top two that would be a two, If

0:19:08.040 --> 0:19:09.680
<v Speaker 1>you punch the top three that would be a three.

0:19:09.680 --> 0:19:12.960
<v Speaker 1>So this isn't binary, you see what I'm saying. Yes,

0:19:13.400 --> 0:19:15.600
<v Speaker 1>So it was a very simple way. You would look

0:19:15.600 --> 0:19:17.679
<v Speaker 1>at the punch card and you would say, all right,

0:19:17.680 --> 0:19:20.120
<v Speaker 1>well the first number is a three because the first

0:19:20.119 --> 0:19:21.960
<v Speaker 1>three holes are punched. That kind of thing that made

0:19:21.960 --> 0:19:26.000
<v Speaker 1>it pretty easy to read. Yes, But again Babbage was

0:19:26.080 --> 0:19:28.240
<v Speaker 1>just thinking in terms of numbers. Love Lace was the

0:19:28.240 --> 0:19:31.840
<v Speaker 1>one who was thinking in terms of graphics, music, that

0:19:31.920 --> 0:19:34.880
<v Speaker 1>kind of thing. We have a bit more to say

0:19:34.920 --> 0:19:38.280
<v Speaker 1>about the enchantress of numbers, but before we get into that,

0:19:38.359 --> 0:19:50.760
<v Speaker 1>let's take another quick break. Lovelace comes up with a

0:19:50.840 --> 0:19:54.800
<v Speaker 1>kind of a test. She she writes out of program

0:19:54.880 --> 0:20:01.080
<v Speaker 1>essentially based on Babbage's uh design for the analytical engine. Now,

0:20:01.119 --> 0:20:04.040
<v Speaker 1>this engine again did not physically exist at this point,

0:20:04.320 --> 0:20:07.440
<v Speaker 1>in fact, that it never existed during his life, and

0:20:07.440 --> 0:20:13.159
<v Speaker 1>and and Lovelace predeceased Babbage. So Lovelace looks at this

0:20:13.240 --> 0:20:17.000
<v Speaker 1>design and she says, you know what, let's just take

0:20:17.640 --> 0:20:22.879
<v Speaker 1>one uh one mathematical algorithm, and I will design a

0:20:22.960 --> 0:20:27.760
<v Speaker 1>program for this engine that would fulfill this algorithm. So

0:20:27.800 --> 0:20:32.880
<v Speaker 1>she decides to create a program that would generate Bernoulli numbers.

0:20:33.560 --> 0:20:35.640
<v Speaker 1>I would like to explain to you what a Bernoulli

0:20:35.760 --> 0:20:39.840
<v Speaker 1>number is, Honestly, I would like to, but I'm an

0:20:39.880 --> 0:20:44.439
<v Speaker 1>English major, and no, seriously, I looked at Bernoulli numbers.

0:20:44.440 --> 0:20:48.080
<v Speaker 1>I looked up five or six different explanations, and really

0:20:48.119 --> 0:20:50.960
<v Speaker 1>it's just a it's a it's a level of mathematics

0:20:51.080 --> 0:20:53.520
<v Speaker 1>with which I am not comfortable. So I cannot even

0:20:53.600 --> 0:20:59.119
<v Speaker 1>explain um. They're generated through the through a simple algorithm,

0:20:59.160 --> 0:21:03.200
<v Speaker 1>relatively simple algorithm, and um, Lovelace was able to create

0:21:03.359 --> 0:21:06.840
<v Speaker 1>a program that would have generated Bernoulli numbers through the

0:21:06.880 --> 0:21:11.200
<v Speaker 1>analytic engine had it ever been built. So I would

0:21:11.200 --> 0:21:13.000
<v Speaker 1>say that, yes, you can call her the first computer

0:21:13.040 --> 0:21:17.159
<v Speaker 1>programmer definitely. So um, yeah, it's I admit it's been

0:21:17.200 --> 0:21:19.520
<v Speaker 1>a long time since, uh, since I took calculus to

0:21:19.680 --> 0:21:23.159
<v Speaker 1>more than twenty years now. But yeah, the Bernoulli numbers

0:21:23.160 --> 0:21:28.040
<v Speaker 1>were named for Jaco Bernoulli, who published actually the work

0:21:28.080 --> 0:21:31.120
<v Speaker 1>was published after his death. It was published in seventeen thirteen,

0:21:31.600 --> 0:21:34.320
<v Speaker 1>um and based on the and that was in the

0:21:34.800 --> 0:21:37.439
<v Speaker 1>art I hope I probably am not pronouncing this right

0:21:37.640 --> 0:21:42.640
<v Speaker 1>ours knjak Condi or yeah, anyway, anyway, it was published

0:21:42.640 --> 0:21:45.520
<v Speaker 1>by Mr Bernoulli, who was one of several in his

0:21:45.600 --> 0:21:49.320
<v Speaker 1>family to work with math um. But the Bernoulli numbers

0:21:49.320 --> 0:21:51.879
<v Speaker 1>are very very important because they can be used in

0:21:51.920 --> 0:21:55.639
<v Speaker 1>a lot of different ways related to number theory and

0:21:55.680 --> 0:21:59.040
<v Speaker 1>triggonometric functions as well. But yes, number theory, I mean

0:21:59.640 --> 0:22:02.480
<v Speaker 1>we're talking about a lot of pure mathematics here. Yeah,

0:22:02.600 --> 0:22:05.160
<v Speaker 1>it's it's basically has to deal with the consecutive integers

0:22:05.240 --> 0:22:08.760
<v Speaker 1>and and the way the sums of powers are calculated. Yeah,

0:22:08.840 --> 0:22:14.000
<v Speaker 1>I read that, and um sure ye. Also I should

0:22:14.000 --> 0:22:16.879
<v Speaker 1>also point out before anyone writes in uh, he was

0:22:16.920 --> 0:22:18.919
<v Speaker 1>not the first, He was not the only person to

0:22:19.040 --> 0:22:21.760
<v Speaker 1>discover this principle. Well, I mean this is a time

0:22:21.800 --> 0:22:24.960
<v Speaker 1>of people who were discovering things at the same time,

0:22:25.040 --> 0:22:28.560
<v Speaker 1>right at the same time. There was two different forms.

0:22:28.920 --> 0:22:32.320
<v Speaker 1>I want to say it was a Japanese scholar who

0:22:32.359 --> 0:22:36.480
<v Speaker 1>discovered it, and also his work was published after he

0:22:36.560 --> 0:22:40.399
<v Speaker 1>passed away, and it was published in seventeen twelve, one

0:22:40.480 --> 0:22:44.480
<v Speaker 1>year before. But they probably discovered it around the same time. Yeah,

0:22:44.520 --> 0:22:47.440
<v Speaker 1>because this was actually almost ten years I think after

0:22:47.680 --> 0:22:51.480
<v Speaker 1>Bernoulli's death, so it would have been back concurrently, simultaneous,

0:22:52.080 --> 0:22:56.040
<v Speaker 1>concurrently sign I was sorry that would have been rely redundant. Well,

0:22:56.400 --> 0:22:59.000
<v Speaker 1>it's hard to say he was first, but they were

0:22:59.040 --> 0:23:01.560
<v Speaker 1>around the same time. I'm just as you know, in

0:23:01.600 --> 0:23:05.920
<v Speaker 1>the immediately preceding years we have the calculus being conceived of.

0:23:06.000 --> 0:23:08.160
<v Speaker 1>It's fast. It must have been a really heavy time

0:23:08.200 --> 0:23:11.760
<v Speaker 1>for mathematicians. Oh sure, and uh so yeah, I mean

0:23:12.119 --> 0:23:15.320
<v Speaker 1>the fact that that Lovelace was able to you know,

0:23:15.400 --> 0:23:18.879
<v Speaker 1>she she knew of course about this um the algorithm

0:23:18.880 --> 0:23:22.840
<v Speaker 1>to generate Bernoulli numbers and was able to program a

0:23:23.680 --> 0:23:25.399
<v Speaker 1>You know this this is all more or less a

0:23:25.400 --> 0:23:29.240
<v Speaker 1>thought experiment, because again, nothing existed with which upon which

0:23:29.240 --> 0:23:31.359
<v Speaker 1>she could run this program. But she was able to

0:23:31.400 --> 0:23:34.520
<v Speaker 1>create a program that would have generated Bernoulli numbers based

0:23:34.560 --> 0:23:37.480
<v Speaker 1>upon the way that the analytical engine would have worked.

0:23:38.640 --> 0:23:43.919
<v Speaker 1>So the fact that one she understood this, which all

0:23:44.400 --> 0:23:46.800
<v Speaker 1>by itself is pretty amazing to me, because I mean

0:23:47.040 --> 0:23:50.560
<v Speaker 1>in the sense that I find it completely incomprehensible. Too.

0:23:50.720 --> 0:23:53.440
<v Speaker 1>She was able to write a program for something that

0:23:53.560 --> 0:23:57.239
<v Speaker 1>only existed in theory, I mean, and and she had

0:23:57.280 --> 0:23:59.159
<v Speaker 1>a lot of influence with Babbage. The two of them

0:23:59.240 --> 0:24:03.880
<v Speaker 1>together really kind of shaped the analytical engine, and they

0:24:03.880 --> 0:24:07.600
<v Speaker 1>would find errors into each other's work. So it wasn't

0:24:07.640 --> 0:24:10.440
<v Speaker 1>like like Babbage would make mistakes because he's human and

0:24:10.560 --> 0:24:13.119
<v Speaker 1>Lovelace would find them. And sometimes Lovelace would make mistakes

0:24:13.119 --> 0:24:15.080
<v Speaker 1>and Babbage would find them. They had a very long

0:24:15.119 --> 0:24:20.640
<v Speaker 1>history of correspondence um and also a web comic. Yes, yeah,

0:24:20.680 --> 0:24:24.000
<v Speaker 1>we have to mention that the Lovelace and Babbage web comic.

0:24:24.520 --> 0:24:28.160
<v Speaker 1>Oh this, guys, do a search on on the web

0:24:28.240 --> 0:24:31.520
<v Speaker 1>for the Lovelace and Babbage web comic because it is phenomenal.

0:24:32.359 --> 0:24:35.600
<v Speaker 1>I think it's a it's a very playful, tongue in

0:24:35.680 --> 0:24:38.600
<v Speaker 1>cheek tribute to these two individuals. But I think it's

0:24:38.640 --> 0:24:41.600
<v Speaker 1>also you can tell it's it's made out of love.

0:24:42.280 --> 0:24:44.440
<v Speaker 1>I mean that kind of effort to go into two

0:24:44.480 --> 0:24:49.720
<v Speaker 1>and and it's great art. It's great writing. Um. It

0:24:49.920 --> 0:24:52.879
<v Speaker 1>kind of picks up on the presumption of Lovelace and

0:24:52.920 --> 0:24:56.919
<v Speaker 1>Babbage becoming kind of like a crime fighters using computational

0:24:57.160 --> 0:25:00.560
<v Speaker 1>in the analytical engine to to deffe eat crime and

0:25:00.560 --> 0:25:04.199
<v Speaker 1>solve mysteries and what those sort of sound like, the

0:25:04.680 --> 0:25:06.639
<v Speaker 1>like it should be a Hanna Barberi show or something

0:25:06.880 --> 0:25:09.920
<v Speaker 1>kind of, but the arts better. So yeah, no, it's

0:25:09.960 --> 0:25:13.840
<v Speaker 1>really great stuff. I definitely recommended. And you know, you

0:25:13.920 --> 0:25:18.239
<v Speaker 1>know why we got these these emails so close together, right,

0:25:18.560 --> 0:25:22.920
<v Speaker 1>why is that? It's because of it a Lovelace Day. Ah. Yeah. Now,

0:25:22.960 --> 0:25:25.520
<v Speaker 1>the very first Aida Lovelace Day was held on the

0:25:25.600 --> 0:25:28.719
<v Speaker 1>March two thousand nine, and they had another one this

0:25:28.800 --> 0:25:34.120
<v Speaker 1>year again March. And you can find information about Ada

0:25:34.160 --> 0:25:37.119
<v Speaker 1>Lovelace Day on Facebook, on on the web in general.

0:25:37.560 --> 0:25:41.080
<v Speaker 1>There's a Twitter feed for called finding Ada and Ada

0:25:41.240 --> 0:25:44.800
<v Speaker 1>is a d A so it's all one word finding Ada. Um,

0:25:44.840 --> 0:25:46.920
<v Speaker 1>and they try and get people to sign a pledge

0:25:47.000 --> 0:25:50.399
<v Speaker 1>to blog about Ada Lovelace and kind of increased public

0:25:50.440 --> 0:25:53.120
<v Speaker 1>awareness of who this woman was and what she accomplished

0:25:53.600 --> 0:25:59.320
<v Speaker 1>and how really amazing you know, she was. And um

0:25:59.440 --> 0:26:04.480
<v Speaker 1>there if you look at contemporary records of Lovelace, uh,

0:26:04.520 --> 0:26:06.879
<v Speaker 1>it's it's a little for me, it's a little discomforting

0:26:07.000 --> 0:26:11.280
<v Speaker 1>because it's it's almost dismissive. It's like she's amazing despite

0:26:11.320 --> 0:26:13.840
<v Speaker 1>the fact that she's a woman, I mean, which is

0:26:13.960 --> 0:26:18.760
<v Speaker 1>of course indicative of the the general philosophy of the era, right,

0:26:19.280 --> 0:26:22.760
<v Speaker 1>but I mean it's you know, I ignore that because

0:26:23.119 --> 0:26:27.400
<v Speaker 1>this woman was just phenomenal period, absolutely brilliant. Yeah yeah,

0:26:27.440 --> 0:26:29.840
<v Speaker 1>And I should point out to that that's not the

0:26:29.840 --> 0:26:33.280
<v Speaker 1>only time she's been honored, um, you know, and recognized

0:26:33.320 --> 0:26:35.200
<v Speaker 1>for her work. Uh the As a matter of fact,

0:26:35.359 --> 0:26:38.479
<v Speaker 1>oddly enough, the United States Department of Defense honored her

0:26:38.600 --> 0:26:44.879
<v Speaker 1>with her own program own programming language in nine. So

0:26:44.960 --> 0:26:47.160
<v Speaker 1>she's I think she's fascinating enough that she just sort

0:26:47.200 --> 0:26:49.080
<v Speaker 1>of keeps popping up in history from time to time.

0:26:49.119 --> 0:26:51.239
<v Speaker 1>People get fascinated and want to learn more about her

0:26:51.280 --> 0:26:55.520
<v Speaker 1>and every reason she's absolutely brilliant. Lay anyone, anyone who

0:26:55.560 --> 0:26:59.159
<v Speaker 1>has a computer science background has heard of her just

0:26:59.240 --> 0:27:03.320
<v Speaker 1>from their their studies. But yeah, I can't help but

0:27:03.520 --> 0:27:07.560
<v Speaker 1>feel that had she not had cancer, had she been

0:27:07.600 --> 0:27:11.240
<v Speaker 1>able to to live on and continue her work, um,

0:27:11.280 --> 0:27:13.960
<v Speaker 1>that possibly the era of computers would have come a

0:27:13.960 --> 0:27:17.600
<v Speaker 1>little faster. Now. It's the main thing that would have

0:27:17.600 --> 0:27:20.720
<v Speaker 1>had to have happened was that the combination of Lovelace

0:27:20.760 --> 0:27:24.320
<v Speaker 1>and Babbage's work would together would have to convince people

0:27:24.440 --> 0:27:29.359
<v Speaker 1>to invest in completing the analytical engine. Um because of

0:27:29.400 --> 0:27:32.399
<v Speaker 1>course they didn't have the resources at their disposal to

0:27:32.400 --> 0:27:35.520
<v Speaker 1>create an electrical computer that would still it would still

0:27:35.520 --> 0:27:39.080
<v Speaker 1>have been a mechanical instrument, and who knows how sophisticated

0:27:39.240 --> 0:27:41.800
<v Speaker 1>it ultimately would have been. It may be that her

0:27:42.080 --> 0:27:46.520
<v Speaker 1>vision of of mathematics representing music and graphics and that

0:27:46.560 --> 0:27:49.440
<v Speaker 1>sort of thing would take longer and possibly a totally

0:27:49.440 --> 0:27:53.000
<v Speaker 1>different form factor than the analytical engine. But we might

0:27:53.040 --> 0:27:55.640
<v Speaker 1>compute completely differently than we do now. Yeah, who knows.

0:27:55.680 --> 0:27:57.440
<v Speaker 1>It could have been a very steampunk kind of a

0:27:58.119 --> 0:28:03.360
<v Speaker 1>kind of future. Right. Well, I hope we did justice

0:28:03.600 --> 0:28:07.159
<v Speaker 1>to uh Ada Lovelace again, And if you want to

0:28:07.160 --> 0:28:09.600
<v Speaker 1>know more about her as a person, definitely check out

0:28:10.280 --> 0:28:12.439
<v Speaker 1>the stuff you missed in history class. Yes, they do,

0:28:12.680 --> 0:28:14.920
<v Speaker 1>they do. It's an excellent job. Yeah, we I listened

0:28:14.960 --> 0:28:18.119
<v Speaker 1>to it before we did this podcast, and uh and

0:28:18.119 --> 0:28:20.040
<v Speaker 1>and Katie and Sarah really do a great job at

0:28:20.280 --> 0:28:22.439
<v Speaker 1>giving an idea of what her life was like, and

0:28:22.720 --> 0:28:26.280
<v Speaker 1>especially her relationship with her mother, which was a very

0:28:26.320 --> 0:28:31.640
<v Speaker 1>complex relationship. Um and sometimes combative, but it's a it's

0:28:31.680 --> 0:28:35.680
<v Speaker 1>an interesting story, kind of tragic ultimately, but definitely helps

0:28:35.760 --> 0:28:40.480
<v Speaker 1>shape the way the history of computers. And that wraps

0:28:40.560 --> 0:28:43.240
<v Speaker 1>up this classic episode of tech Stuff. I hope you

0:28:43.360 --> 0:28:46.520
<v Speaker 1>enjoyed it. If you really like the story of Ada Lovelace,

0:28:46.680 --> 0:28:49.680
<v Speaker 1>you gotta check out our store over at t public

0:28:49.840 --> 0:28:53.920
<v Speaker 1>dot com slash tech stuff. We have the code like

0:28:53.960 --> 0:28:57.040
<v Speaker 1>a Girl T shirt that has Ada Lovelace on The

0:28:57.080 --> 0:29:00.360
<v Speaker 1>shirt has an illustration of Ada Lovelace. It's one of

0:29:00.400 --> 0:29:03.320
<v Speaker 1>my favorite shirts. Um. I own a couple of them.

0:29:03.360 --> 0:29:06.600
<v Speaker 1>In fact, I bought them. In fact, I loved it

0:29:06.640 --> 0:29:08.760
<v Speaker 1>so much I would have purchased it. Didn't tell anyone,

0:29:08.800 --> 0:29:10.440
<v Speaker 1>and then everyone said, hey, we could have sent you

0:29:10.960 --> 0:29:13.520
<v Speaker 1>a version of that if you wanted, but no, I

0:29:13.520 --> 0:29:18.120
<v Speaker 1>I really felt like that was something important. And uh,

0:29:18.280 --> 0:29:20.760
<v Speaker 1>I love that particular shirt. You should go check that out.

0:29:20.800 --> 0:29:22.640
<v Speaker 1>Even if you don't buy one, go at least take

0:29:22.640 --> 0:29:24.120
<v Speaker 1>a look at it, because I'm really proud of that

0:29:24.160 --> 0:29:28.120
<v Speaker 1>particular product. If you guys have any suggestions for future

0:29:28.200 --> 0:29:31.440
<v Speaker 1>episodes of tech Stuff, send me an email. The address

0:29:31.520 --> 0:29:34.640
<v Speaker 1>is tech Stuff at how stuff works dot com. Don't

0:29:34.680 --> 0:29:37.200
<v Speaker 1>forget to visit our website that's over at tech stuff

0:29:37.280 --> 0:29:39.960
<v Speaker 1>podcast dot com. You can find us on social media

0:29:40.040 --> 0:29:42.000
<v Speaker 1>over there as well, and I'll talk to you again

0:29:42.400 --> 0:29:50.400
<v Speaker 1>and really soon for more on this and thousands of

0:29:50.440 --> 0:30:00.120
<v Speaker 1>other topics, because at how stuff works dot com you