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Speaker 1: Cool Zone Media.

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Speaker 2: Hello, and welcome to Cool People Do Cool Stuff, your

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Speaker 2: weekly podcast about how there's sometimes cool people who did

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Speaker 2: cool stuff like me. I'm the host. I'm Margaret Kiljoy

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Speaker 2: and I was going to segue into introducing Bridget Todd,

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Speaker 2: who's the host of There Are No Girls on the Internet,

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Speaker 2: but instead I messed it up. But Hi, Bridget, how

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Speaker 2: are you?

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Speaker 3: Hi?

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Speaker 2: Margaret? You do plenty of cool stuff. That's all you

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Speaker 2: do is cool stuff. All I do is read history books.

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Speaker 2: But I kind of like it, so I'm not complaining

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Speaker 2: about my job. I got the best one I think

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Speaker 2: anyone on this earth has. And the person who helps

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Speaker 2: me have that job is my producer, Sophie.

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Speaker 1: Hi.

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Speaker 2: Sophie, Hi, mag Pie, thanks for producing my podcast. Oh

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Speaker 2: that's a privilege. We also have an audio engineer named Daniel.

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Speaker 1: Hi.

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Speaker 2: Danel Hey, Daniel, Hi, Daniel. Our theme music was written

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Speaker 2: for us by Unwoman. And this is part two and

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Speaker 2: a two parter about Lord Byron and Ada Lovelace, And

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Speaker 2: it was meant to mostly be about Ada Lovelace, and

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Speaker 2: then I spent an entire episode talking about the archtypical,

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Speaker 2: the original fuck boy, her father, Lord Byron. Usually I

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Speaker 2: say you can't listen to part two without listening to

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Speaker 2: part one. You could probably listen to part two today.

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Speaker 2: But I actually think it's really useful to understand where

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Speaker 2: Aida is coming from because she's really into her dad.

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Speaker 2: That's my disclaimer. So yeah, in part one we talked

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Speaker 2: about an agent of chaos sent straight from hell to

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Speaker 2: home wreck, or a misunderstood fuck boy. In part two,

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Speaker 2: we're gonna talk about his daughter, Ada. The actual reason

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Speaker 2: we're doing these episodes. The person who qualifies as a

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Speaker 2: cool person doing cool stuff, Ada Lovelace, who was not

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Speaker 2: born Ada Lovelace was born in eighteen fifteen, right before

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Speaker 2: her mom left her dad. Her mother, Lady Byron, was

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Speaker 2: a dedicated reform activist, And I kind of assumed that

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Speaker 2: this was a pretty milk toast and uninteresting thing when

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Speaker 2: I read that, like, oh, a dedicated orform activist, that

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Speaker 2: just sounds like some rich lady who wants to feel

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Speaker 2: better or whatever. She was part of the group that

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Speaker 2: ended slavery in the British Empire than freed eight hundred

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Speaker 2: thousand people.

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Speaker 3: So she was a cool person who or a person

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Speaker 3: who was doing cool stuff on her own, right, Yeah, yeah, exactly,

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Speaker 3: And she fought for prison reform. I wish I knew

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Speaker 3: a little bit more about what that meant, but that's

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Speaker 3: still great, especially since England at the time was like,

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Speaker 3: let's just hang everyone, right, and she fought for the

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Speaker 3: abolition of slavery. She was one of the very few

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Speaker 3: women involved very actively in the British abolitionist movement because

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Speaker 3: the men wouldn't let women be involved because men, and

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Speaker 3: so she was one of like three or so women

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Speaker 3: at the eighteen forty World Anti Slavery Convention. This was

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Speaker 3: held in England. It was about two hundred Brits, fifty Americans,

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Speaker 3: and a few other random folks. Almost all of them

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Speaker 3: are white men. There's a handful of white women and

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Speaker 3: a handful of black men, is the best I can figure.

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Speaker 3: I'm not aware of black women being invited, since women

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Speaker 3: weren't invited at all, and it was almost an afterthought. Whatever,

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Speaker 3: I'm not impressed by the politics of this particular group

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Speaker 3: around identity.

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Speaker 2: Issues, not intersectional right. However, this convention came out of

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Speaker 2: movement that had just managed to abolish slavery in the

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Speaker 2: British Empire in eighteen thirty four, which three day, one

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Speaker 2: hundred thousand people like I mentioned the main group behind

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Speaker 2: that I never would have thought would have done anything

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Speaker 2: worthwhile based on their name. Usually the cool groups have

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Speaker 2: like the League of Something or whatever. Right, this was

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Speaker 2: the Society for the Mitigation and gradual Abolition of slavery

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Speaker 2: throughout the British dominions? Who came up with that name?

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Speaker 2: That was not a good name, no, but it it worked.

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Speaker 2: I only read so much every now and then. I

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Speaker 2: read about the Abolisist movement in the UK, but I

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Speaker 2: don't know as much about it as I know about

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Speaker 2: the Ablisihist movement in the US. Right, Okay, that said,

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Speaker 2: you know how the British Empire can kind of take

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Speaker 2: anything that sounds good and make it bad. Abolished slavery

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Speaker 2: was the rallying cry that was used in the Scramble

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Speaker 2: for Africa. That where like, they colonized Africa and killed

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Speaker 2: fuck tons of people and set the content up for

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Speaker 2: a pretty economically terrible twentieth and twenty first century. Because

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Speaker 2: empire can make anything that's good into a bad thing.

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Speaker 2: That's a just get that like tattooed or like put

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Speaker 2: on a shirt. I know, I live by it. So

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Speaker 2: they had this conference, right, this is forty years before

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Speaker 2: the Scramble for Africa really kicks off. So I can't

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Speaker 2: say that these people were responsible for that. They were

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Speaker 2: in the middle of doing something actually good. The non

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Speaker 2: inclusion of women at this conference was on purpose. It

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Speaker 2: was for men only. The larger faction there was like

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Speaker 2: a big fight about whether or not women should be included,

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Speaker 2: and the larger faction won. And then three women showed

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Speaker 2: up anyhow, and including Lady By, and they had some

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Speaker 2: supporters from within the convention who forced their inclusion. The

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Speaker 2: same faction that fought for the inclusion of women actually

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Speaker 2: made an effort to bring Oh I don't know, black

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Speaker 2: people from America, where slavery was a big problem, including

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Speaker 2: this guy who is just really fucking cool. I'd never

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Speaker 2: really read about him before, Charles Lennox Remond. He is

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Speaker 2: credited as the first black public speaker talking about abolition

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Speaker 2: in the United States. Oh wow, I hadn't ordered him either. Yeah, Like,

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Speaker 2: he wasn't a minor figure at the time, but he

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Speaker 2: wasn't like the wildest militant. He was born free, so

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Speaker 2: he doesn't have the cool escape story. Like, don't get

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Speaker 2: me wrong, the escape stories are fucking cool, but like

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Speaker 2: he just was like putting in the work as an

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Speaker 2: orator and as an organizer, and he was the kid

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Speaker 2: of two hairdressers. And one of his big things that

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Speaker 2: he fought for successfully was that he organized that basically

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Speaker 2: like free black people would leave and mass any church

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Speaker 2: that didn't let them sit as equals at the communion table.

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Speaker 2: And when he made it to England for this convention,

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Speaker 2: all the women were denied entry, so he protested and

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Speaker 2: walked out alongside of them. He had just traveled across

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Speaker 2: the fucking ocean to come to this thing that was

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Speaker 2: like for freeing black people. And he was like, well,

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Speaker 2: I'm intersectional. Fuck all that.

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Speaker 3: Yeah, I mean it's I was joking earlier about how

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Speaker 3: the group wasn't intersectional, but it's not like there weren't

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Speaker 3: people who were down intersectionality back then.

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Speaker 2: Yeah, And it's actually it's something that's come up a

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Speaker 2: bunch of times, like when you look at for good reason,

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Speaker 2: people are critical of the early feminist movement for being racist, right,

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Speaker 2: and people look at some of the abolitionist movement and

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Speaker 2: see the exclusion of women or whatever. But the thing

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Speaker 2: that I actually run across way more is people who

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Speaker 2: cared about both, saw them as connected and fought for both.

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Speaker 2: Like they're just not as talked about, I mean, especially

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Speaker 2: because like once rich people, feminism kicks in and the

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Speaker 2: Suffragettes kind of there's some big racism problems and they're

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Speaker 2: worth paying attention to, you know. But but yeah, so Charles,

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Speaker 2: he's probably the most uncomplicatedly cool person in this week's episode.

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Speaker 2: He helped recruit black soldiers to the Union Army. He

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Speaker 2: after the war, he worked as a street lamp inspector,

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Speaker 2: a clerk, and then ended his life as a farmer.

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Speaker 2: So he's just a working class kid, a hairdressers who.

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Speaker 3: Yeah, do you know if he was like sending his

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Speaker 3: pubic hair to people and like sleeping with everyone's partners

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Speaker 3: and any of that.

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Speaker 2: See, I'm not aware of that. And so that's part

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Speaker 2: of like I'm like, maybe he's the uncomplicated character because

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Speaker 2: I didn't read a whole book about him, right, you know.

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Speaker 3: Because like everyone, he did all that and just didn't

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Speaker 3: write it down.

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Speaker 2: Yeah, exactly. He was like, oh man, you won't believe what

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Speaker 2: I got up to in England, you know whatever. As

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Speaker 2: long as everyone's into it, I don't care. And Frederick

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Speaker 2: Douglass went on to name one of his sons after

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Speaker 2: this guy, Charles rem And Douglas was the first black

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Speaker 2: man to join the Union Army, and Charles Remon Douglas,

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Speaker 2: Douglas's kid was actually too sick to actually wind up

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Speaker 2: marching on the Confederacy, but did a lot of work

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Speaker 2: and was That's still a pretty fucking cool thing to

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Speaker 2: get to say you did, you know.

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Speaker 3: So?

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Speaker 2: And one of the reasons I think about this is

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Speaker 2: that I'm like, I'm about to talk about the origin

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Speaker 2: of computers and all this stuff, and instead of thinking

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Speaker 2: of history as this distinct, unrelated things you need your

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Speaker 2: big red yarn board. The same guy who stands up

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Speaker 2: for Luddites also fought for Greek independence against the Ottomans

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Speaker 2: and was married to a British woman who was directly

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Speaker 2: involved in the abolition of slavery in both the UK

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Speaker 2: and the US. Like, and that's where computer software comes from.

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Speaker 2: You know.

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Speaker 3: Yeah, I love how you put that, because it's so easy.

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Speaker 3: No one who listened. I don't think anybody who listens

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Speaker 3: to this pod thinks this way. But it's very easy

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Speaker 3: to think of history as this thing that happened forever ago,

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Speaker 3: that was like very distinct, right, and so like we'll

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Speaker 3: put black history in one bucket, or like women's history

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Speaker 3: in another bucket, or like you know, gender studies or

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Speaker 3: sexuality in another bucket, and those and there's this idea

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Speaker 3: that those things are not bleeding over and intersecting and

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Speaker 3: having connections, and then something else like technology that's in

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Speaker 3: a completely separate realm, and it's like, no, it's all

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Speaker 3: mixed in.

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Speaker 2: It's all history.

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Speaker 3: It's all this like very complex, you know, patchwork of

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Speaker 3: things that happened and intersected.

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Speaker 2: Yeah, my Google history is just full of like person's name,

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Speaker 2: religious beliefs, person's names, political views, persons named feminism, person's name, abolitionist,

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Speaker 2: just to see what comes up, you know, because there's

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Speaker 2: always more to people, because people want to have this

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Speaker 2: one dimensional view of everyone, you know. Lady Byron also

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Speaker 2: set up England's first cooperative school, basically socialist education. I

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Speaker 2: don't know whether she identified as a socialist or not,

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Speaker 2: but one of the people who whose work she was

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Speaker 2: using to set up this cooperative school was outspokenly a

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Speaker 2: socialist and the specific point of it. One of the

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Speaker 2: things that I feel like I don't quite understand about England.

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Speaker 2: England is a weird thing, you know, I mean, so

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Speaker 2: is America. Like white American society is evil too. I'm

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Speaker 2: not trying to be like, oh those English so there's

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Speaker 2: only bad people. But the educational system there was absolutely

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Speaker 2: horrific in terms of bullying kids, forcing them into like

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Speaker 2: a fearful environment in which they are hyper competitive of

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Speaker 2: each other, right, and that I mean that causes the

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Speaker 2: British Empire on some level, right' It's chicken an egg problem.

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Speaker 2: But it's like this culture of fear and domination, and

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Speaker 2: so Lady Byron tries to stop it by setting up

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Speaker 2: a cooperative school. Her quote about this is about talking

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Speaker 2: about how students should be treated, is that fear makes

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Speaker 2: slaves and the love of distinction leads to bullying and

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Speaker 2: the aggressive passions encouraged in England's elite public school systems.

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Speaker 3: That's so progressive to be seeing the ways that competition

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Speaker 3: and I guess, like the desire to be distinct I

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Speaker 3: guess how she put it, how that would fuel all

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Speaker 3: these ugly things in society. I can't imagine that was like.

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Speaker 2: Well received at the time, I know, and the school

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Speaker 2: managed to last about eighty years. They taught the basics.

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Speaker 2: They taught kids how to garden and track their income

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Speaker 2: and shit. Also in addition to like you know, teaching

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Speaker 2: literature and math and all these things, so they actually

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Speaker 2: like taught practical life skills, like useful stuff that we

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Speaker 2: should have all learned in school. Yeah, exactly. And eventually

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Speaker 2: it shut down in nineteen seventeen, but it lasted like

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Speaker 2: eighty years. And yeah, like people kind of I think

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Speaker 2: there was a little bit the best I can tell,

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Speaker 2: I only read so much about her, but I read

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Speaker 2: a decent bit about her as best as I can tell.

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Speaker 2: People were like, oh, wacky hippie is doing their wacky

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Speaker 2: hippie thing. You know. Probably there was a lot of

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Speaker 2: culture war stuff about, like, no, it's the it's the

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Speaker 2: fighting pits of educational system that makes England the world

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Speaker 2: power we are, you know. So Ada's mother was pretty cool,

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Speaker 2: at least politically. She used to take Ada around on

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Speaker 2: tours of like textile mills to look at the conditions

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Speaker 2: that workers were in, which is probably if you are

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Speaker 2: raised a noble you should probably have to go see

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Speaker 2: how the other half lives, you know. And anything that

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Speaker 2: Lady Byron was working on was willing to hire black

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Speaker 2: Americans escaping slavery, and that I think was a pretty

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Speaker 2: big deal that a lot of people in England were

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Speaker 2: like not okay with and she was like, I don't care,

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Speaker 2: We're going to do it. And I'm annoyed that she's

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Speaker 2: mostly remembered as the wife of Lord Byron.

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Speaker 3: Because all of these cool things, Like she was doing

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Speaker 3: cool stuff on her own.

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Speaker 2: Yeah, not as like sexy, you know. She just kind

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Speaker 2: of was like fairly polite and religious and tried to

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Speaker 2: make the world better. You know. She stayed in love

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Speaker 2: with her husband after their separation because and I think

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Speaker 2: it's because she viewed his problems as madness right, not

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Speaker 2: as a character flaw. And she was also constantly trying

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Speaker 2: to save his soul from damnation. He's like in Greece

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Speaker 2: and stuff, and she's like writing letters being like, hey,

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Speaker 2: you're gonna repent, like you know that like meme format,

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Speaker 2: that's like something something today, Hey babe, like you want

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Speaker 2: to do this today? You know, yeah, basically just texting

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Speaker 2: him constantly being like, what's up. You wanna you want

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Speaker 2: to accept Jesus Christ your personal Lord and savior today.

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Speaker 2: This probably didn't endear her to him. But as for

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Speaker 2: how she raised Ada, this is messier. She seems like

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Speaker 2: maybe not the best mom.

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Speaker 1: Now.

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Speaker 2: To be clear, single moms get way more flack than

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Speaker 2: they should, and Lord Byron certainly didn't do a very

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Speaker 2: good job of fathering her. On the other hand, she

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Speaker 2: didn't let Lord Byron have an anything to do with

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Speaker 2: their kid as far as I can tell. And basically

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Speaker 2: Lady Byron was like, no matter what, I am going

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Speaker 2: to make sure my kid does not end up a

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Speaker 2: wild libertine like her father. Her father dies when eight

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Speaker 2: is eight. And the way that she set about to

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Speaker 2: do this was to not let her have an imagination.

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Speaker 2: This is the way it gets described, downplayed or outright

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Speaker 2: forbade teaching poetry and shit like that, no creativity all Stem,

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Speaker 2: except according to other sources, did teach a lot of

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Speaker 2: like music, so it might have just been a specific

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Speaker 2: like no poetry, right.

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Speaker 3: Well, I mean it makes sense if she was like,

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Speaker 3: I don't want my daughter to end up like her

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Speaker 3: libertine poet dad.

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Speaker 2: No poetry in this house.

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Speaker 3: I was going to say something, though, I do think

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Speaker 3: like the idea of STEM only. I know a lot

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Speaker 3: of people who think that the only thing worth studying

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Speaker 3: it if you're if you're interested in tech or you

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Speaker 3: have aspirations to be in tech. The only thing worth

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Speaker 3: studying is a hard science or a stem, and that

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Speaker 3: humanity's poetry, music, gender studies, literature or all of that

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Speaker 3: is just fluff and the only thing that matters is

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Speaker 3: a hard tech. And those people I feel like they,

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Speaker 3: even if they are like gifted engineers or something, I

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Speaker 3: think that they might have trouble understanding what it is

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Speaker 3: that people who are going to go on to use

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Speaker 3: the technology that you build are using it for, which

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Speaker 3: is often culture or you know, something that is not

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Speaker 3: a hard tech.

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Speaker 2: And so I guess I would.

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Speaker 3: Say like I say that to say that you need

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Speaker 3: all the things to be a well rounded technologist. I

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Speaker 3: don't like it when people poo poo the humanities because

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Speaker 3: they're like only focusing on programming or whatever. I think

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Speaker 3: it's I think it's a really myopic way of seeing technology.

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Speaker 2: No, totally. And that's Ada's gift to computing and technology

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Speaker 2: is that it's the reason that she's seen is so

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Speaker 2: important or is so important, is that she bridged the

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Speaker 2: world between math and creativity and this became like her

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Speaker 2: whole fucking thing because she was both her parents' kid.

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Speaker 2: You know, like exactly everything that you're saying about it

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Speaker 2: is the thing that she was about, and like why

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Speaker 2: I got really excited about her as I was reading

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Speaker 2: all this stuff, you know, And so it didn't work,

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Speaker 2: this attempt to stifle the creative spirit, which might be

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Speaker 2: an unkind reading of Lady Byron. It's hard to tell.

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Speaker 2: Everyone who's writing these things feels really strongly about Lord Byron.

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Speaker 2: No one gives a shit about Ada. No one gives

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Speaker 2: a shit about Lady Byron. Everyone either fucking loves or

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Speaker 2: hates Lord Byron. So everything revolves around him. And I

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Speaker 2: know that some of it does, and I had to

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Speaker 2: start with him, but it's so hard to tell. It's

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Speaker 2: so hard to tell exactly because some of the people saying, oh,

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Speaker 2: she was a terrible mother are Byron apologists or Lord

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Speaker 2: Byron apologists. Anyway, there are definitely versions where the mother's

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Speaker 2: pretty monstrous. She's a rich kid, so she has all

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Speaker 2: these private tutors and shit, right, apparently any of them again,

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Speaker 2: according to this reading, any of them got too close

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Speaker 2: emotionally to Ada were fired, so she's like not allowed

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Speaker 2: to care about her teachers or have like affection. And

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Speaker 2: there's a portrait of her dad, Lord Byron, hanging in

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Speaker 2: her grandmother's house, but she's not allowed to see it.

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Speaker 2: It is behind green velvet curtains. Like, what a way

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Speaker 2: to make a kid obsessed with their dad?

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Speaker 3: Yeah, that's I mean, first of all, that's like put

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Speaker 3: anything behind big velvet green curtains and tell a child

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Speaker 3: you must never.

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Speaker 2: Look behind these curtains.

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Speaker 3: Of course they're going to like fixate on what's behind

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Speaker 3: those curtains.

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Speaker 2: I of course I know what's her obsession with the

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Speaker 2: forbidden box of forbiddenness? Kid, Why can't you just forget

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Speaker 2: about the forbidden box of forbiddenness? Yeah. So when she's

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Speaker 2: eleven and her father is like safely dead in the ground,

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Speaker 2: her mother takes her tour around Europe for a year

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Speaker 2: because that's like a normal rich people thing to do.

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Speaker 2: But they couldn't do it when she was younger because

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Speaker 2: they didn't want to accidentally run into Lord Byron. Young

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Speaker 2: Ada came back with her imagination on fire. She was like,

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Speaker 2: holy shit, there's a world out there, and she became

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Speaker 2: obsessed with trying to invent a flying machine. She studied birds,

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Speaker 2: she tried to get every book she could about birds

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Speaker 2: so that she could build a steam powered ornithopter. I

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Speaker 2: don't think the word ornithopter existed yet, but this is

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Speaker 2: what she wanted to build. Is before people figured out

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Speaker 2: fixed wing aircraft, and so everyone's into ornithopters, which are

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Speaker 2: like the fly he wants. I guess everyone knows what

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Speaker 2: it is now because Dune's out, but some of us

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Speaker 2: just have a terrible background in steampunk. And so I've

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Speaker 2: known about this for a long time. And it makes

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Speaker 2: sense that people thought about flapping wings instead of fixed

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Speaker 2: wing aircraft, right, because if you look around and you

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Speaker 2: see the stuff that's flying, it flaps its wings, you know.

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Speaker 2: So she spends years trying to invent this thing. It

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Speaker 2: wasn't until the eighteen seventies that the first ornithopters were built,

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Speaker 2: and they used rubber bands, and so like rubber kind

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Speaker 2: of successfully invented the ornithopter to some degree. So she's

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Speaker 2: into the shit. She is the world's for steampunk. I

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Speaker 2: would argue, much like our sponsor subcultures that seem promising

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Speaker 2: and have some good elements but also some cringey stuff.

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Speaker 2: Are we sponsored by that? Are you sponsored by? Big

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Speaker 2: top hat and goggles. Who know, well, it's better than

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Speaker 2: a fifth helmet. I guess anything's better than a fifth helmet.

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Speaker 2: Steambug is the greatest subcultural betrayal of my life. I

368
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Speaker 2: was like, what, we're all obsessed with punk and also

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Speaker 2: where the industrial revolution and colonization really got going and

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Speaker 2: started destroying the world, And so we're really interested in

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Speaker 2: the people who are perfectly positioned to fight against it,

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Speaker 2: and we're making alliances across the world to destroy empire.

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Speaker 2: And then I went to the conventions and it was

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Speaker 2: all top hats and goggles, and I was like, I think,

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Speaker 2: I think I'm at the wrong convention. Anyway, maybe your

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Speaker 2: next big disappointment is here in these ads. So we're

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Speaker 2: back and Ada Lovelace is back from Europe and decides

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Speaker 2: to do the one thing that you should not do

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Speaker 2: in the nineteenth century, which is get sick. She is

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Speaker 2: bedridden for about three years. Some folks, of course, chalk

381
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Speaker 2: it up to psychosomatic stuff, like, oh, she has hysteria,

382
00:20:42,760 --> 00:20:46,399
Speaker 2: she's just stressed. Why doesn't she try yoga? You know

383
00:20:46,600 --> 00:20:52,160
Speaker 2: girls just do that. Sometimes it was probably measles and encephalitis,

384
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Speaker 2: which I had to look it up at inflammation of

385
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Speaker 2: the brain.

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Speaker 3: Oh my god, my roommate got that from a hot

387
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Speaker 3: tub at beach Week when we were in college.

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Speaker 2: It was like crazy, Yeah, the wages of sin. Yes,

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Speaker 2: that's terrible.

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Speaker 3: She all right, Oh she was fine, but like you

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Speaker 3: just needed I mean, luckily this happened in like, oh yeah,

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Speaker 3: two thousand and four and not back when Ada was living.

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Speaker 3: But yeah, she does have to get antibiotics and it

394
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Speaker 3: ruined beach Week, but she was fine.

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Speaker 2: Okay, yeah, okay, cool. Yeah. Ada spent three years lying

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Speaker 2: in bed a little different. Yeah, from like roughly thirteen

397
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Speaker 2: to sixteen or so. She gets better, but she's never

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Speaker 2: going to be in the most robust health at any

399
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Speaker 2: point in her life. And she goes off to London

400
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Speaker 2: to join that bullshit society of five thousand rich assholes

401
00:21:39,400 --> 00:21:42,840
Speaker 2: who run the world. She is presented at court and

402
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Speaker 2: meets the King and all that shit and the whole

403
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Speaker 2: like her whole life, she's a little bit like, she

404
00:21:47,680 --> 00:21:50,520
Speaker 2: doesn't really play this game that much. She's like dresses

405
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Speaker 2: as an intellectual instead of dressing as like a proper

406
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Speaker 2: lady or whatever, because she's cool. I mean, dressing is

407
00:21:56,080 --> 00:21:57,880
Speaker 2: a proper lady is cool too, but it's also cool

408
00:21:57,880 --> 00:22:03,920
Speaker 2: when you flout all about. On June fifth, eighteen thirty three,

409
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Speaker 2: she's seventeen years old. She meets the man who will

410
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Speaker 2: change her life forever in cement her place in history,

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Speaker 2: and thank god this is not a romantic story. She

412
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Speaker 2: meets the forty one year old Charles Babbage, who is

413
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Speaker 2: generally credited as inventing the first computer. Obviously that's more

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Speaker 2: or less true.

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Speaker 3: Actually, did you ever go to the store babbage Is

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Speaker 3: in the mall when you were a kid?

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Speaker 1: Oh?

418
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Speaker 2: My god, I did, and I would buy little I

419
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Speaker 2: would buy video games that on three and a half

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Speaker 2: inch three and a quarter inch floppy disks. I love.

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Speaker 2: That's that's why I know who Charles Babbage Is've been

422
00:22:37,280 --> 00:22:43,399
Speaker 2: like a figure in my life. Yeah cool. Yeah, no,

423
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Speaker 2: I actually thought about including that in a script, and

424
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Speaker 2: I was like, oh, I'm just gonna date me. I know.

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Speaker 2: People are like, what are they talking about? Like, we're

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Speaker 2: old y'all like that.

427
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Speaker 3: That's like where you where you got your janky ass

428
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Speaker 3: video games? While your mom was shopping at Talbot's or whatever.

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Speaker 3: You would go to Babbages?

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Speaker 2: Yeah? No, I like this one has a dragon on

431
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Speaker 2: the cover. I want it so bad. Dragon War that

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Speaker 2: was my favorite. I don't even remember what. Yeah, my

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Speaker 2: dad was an early adopter and like spent all his

434
00:23:11,560 --> 00:23:14,480
Speaker 2: like spent a lot of money on computers back when

435
00:23:14,480 --> 00:23:16,760
Speaker 2: that was a hard thing to do. You know. That's

436
00:23:16,800 --> 00:23:19,520
Speaker 2: like how he chose to spend the little money had

437
00:23:19,600 --> 00:23:23,440
Speaker 2: or whatever. So she meets Charles Babbage and instead of

438
00:23:23,480 --> 00:23:27,160
Speaker 2: at a mall, it's at a soiree at his house.

439
00:23:28,400 --> 00:23:32,119
Speaker 2: And some people like to conjecture that they were sleeping together.

440
00:23:32,240 --> 00:23:34,800
Speaker 2: Usually I am the first person to believe rumors of

441
00:23:34,800 --> 00:23:37,399
Speaker 2: people fucking in history. I think that they had a

442
00:23:37,440 --> 00:23:41,520
Speaker 2: platonic intellectual friendship. She meets Charles Babbage at a soiree

443
00:23:41,520 --> 00:23:44,679
Speaker 2: at his house. He's got these like little automaton toys

444
00:23:44,720 --> 00:23:46,639
Speaker 2: like everyone does to impress people at the time. I

445
00:23:46,640 --> 00:23:49,080
Speaker 2: think he built them. He has like a silver lady

446
00:23:49,119 --> 00:23:51,359
Speaker 2: with a turban on. It's a little wind up toy

447
00:23:51,480 --> 00:23:56,040
Speaker 2: or whatever, you know. And her mother's nickname is the

448
00:23:56,040 --> 00:23:58,600
Speaker 2: Princess of Parallelograms. This is what Lord Byron called her

449
00:23:58,640 --> 00:23:59,720
Speaker 2: to make fun of her. But I think she's just

450
00:23:59,800 --> 00:24:03,240
Speaker 2: kind of into it. So Ada and her mom are

451
00:24:03,280 --> 00:24:07,199
Speaker 2: like not impressed by a little automaton. So he's like, oh,

452
00:24:07,240 --> 00:24:09,160
Speaker 2: you want to see the real shit, and he takes

453
00:24:09,200 --> 00:24:12,280
Speaker 2: them back to like back of the house. This thing

454
00:24:12,320 --> 00:24:15,919
Speaker 2: he's been working on, a fucking difference engine, is a

455
00:24:15,960 --> 00:24:20,640
Speaker 2: mechanical calculator, more ambitious than anyone has ever dreamed at

456
00:24:20,640 --> 00:24:23,680
Speaker 2: this point that I'm aware of. He has a working

457
00:24:23,800 --> 00:24:26,639
Speaker 2: fragment of it. It is about two feet tall, It

458
00:24:26,680 --> 00:24:30,160
Speaker 2: has two thousand brass parts, and it is hand cranked.

459
00:24:30,800 --> 00:24:34,280
Speaker 2: It can do basic math, including exponents and extract the

460
00:24:34,400 --> 00:24:36,720
Speaker 2: root of a quadratic equation, which is a math thing

461
00:24:36,760 --> 00:24:39,200
Speaker 2: that I looked up for this and then was like, yep,

462
00:24:39,520 --> 00:24:43,160
Speaker 2: that's a math thing because I was a computer nerd

463
00:24:43,240 --> 00:24:47,160
Speaker 2: and not a math nerd. Were you a math nerd? No, God,

464
00:24:47,240 --> 00:24:51,080
Speaker 2: not at all. You dropped out of a PhD for literature. No,

465
00:24:51,080 --> 00:24:51,359
Speaker 2: no no.

466
00:24:51,400 --> 00:24:53,320
Speaker 3: And like I was at a conversation with somebody where

467
00:24:53,320 --> 00:24:55,239
Speaker 3: they were like, oh, I did TRIG in school. What

468
00:24:55,320 --> 00:24:56,880
Speaker 3: was your math? And I was like, yeah, my math

469
00:24:57,000 --> 00:25:00,639
Speaker 3: was just called math any of those names.

470
00:25:00,840 --> 00:25:04,359
Speaker 2: Yeah. I did real well at a level of math

471
00:25:04,440 --> 00:25:07,359
Speaker 2: up where I didn't have to pay attention, And so

472
00:25:07,440 --> 00:25:09,720
Speaker 2: I was like in the like gifted smart math until

473
00:25:09,760 --> 00:25:13,240
Speaker 2: about PRECALC. And then I was like barely graduated high

474
00:25:13,240 --> 00:25:16,480
Speaker 2: school because I almost didn't pass PRECALC because I didn't

475
00:25:17,040 --> 00:25:19,560
Speaker 2: ever learn the tools with which to study because I

476
00:25:19,600 --> 00:25:23,400
Speaker 2: had undiagnosed ADHD. I mean, because I was so smart.

477
00:25:25,160 --> 00:25:26,720
Speaker 2: This is going to come up as related as Charles

478
00:25:26,920 --> 00:25:31,160
Speaker 2: Charles Babbage actually, and so this two foot tall, two

479
00:25:31,160 --> 00:25:35,080
Speaker 2: thousand part piece of a difference engine is all that

480
00:25:35,119 --> 00:25:37,879
Speaker 2: will ever be built of his math machines until more

481
00:25:37,920 --> 00:25:41,479
Speaker 2: than one hundred years after his death. The thing about

482
00:25:41,720 --> 00:25:44,080
Speaker 2: Charles Babbage and Ada Lovelace that's so impressive is like

483
00:25:44,080 --> 00:25:47,080
Speaker 2: what they almost did, what they dreamed up, what they

484
00:25:47,119 --> 00:25:50,400
Speaker 2: could have done, and more and more the more I read,

485
00:25:50,520 --> 00:25:53,000
Speaker 2: the more I realized if AIDA's poor health and Charles

486
00:25:53,280 --> 00:25:56,760
Speaker 2: his neurodivergence hadn't gotten in their way, it probably would

487
00:25:56,840 --> 00:26:00,919
Speaker 2: have done like this could have happened. They did manage

488
00:26:00,920 --> 00:26:03,320
Speaker 2: to have a direct influence on modern computing, but it

489
00:26:03,359 --> 00:26:08,159
Speaker 2: wasn't a direct lineage basically the best other people know

490
00:26:08,240 --> 00:26:10,760
Speaker 2: this better than I do. But their work was kind

491
00:26:10,760 --> 00:26:13,760
Speaker 2: of rediscovered early on in computing, rather than it being

492
00:26:13,800 --> 00:26:16,280
Speaker 2: like people like immediately just building off of what they did.

493
00:26:17,520 --> 00:26:20,000
Speaker 2: Don't sorry about Charles Babbage. You heard much about Charles

494
00:26:20,000 --> 00:26:21,159
Speaker 2: Babbage Besides the storm.

495
00:26:22,320 --> 00:26:24,320
Speaker 3: I knew a little bit about him, but most of

496
00:26:24,359 --> 00:26:26,480
Speaker 3: my entry point is the store in them all.

497
00:26:27,119 --> 00:26:30,760
Speaker 2: Yeah, fair enough, the real quick version, as he is

498
00:26:30,760 --> 00:26:36,280
Speaker 2: a cranky old man with adhd. Charles Babbage was not nobility,

499
00:26:36,560 --> 00:26:38,840
Speaker 2: but he was rich, which is kind of the same thing.

500
00:26:39,960 --> 00:26:43,439
Speaker 2: His father was a successful goldsmith and banker, and so

501
00:26:43,520 --> 00:26:45,719
Speaker 2: young Chuck. No one called him that besides me right

502
00:26:45,760 --> 00:26:48,480
Speaker 2: now that I'm aware of. He grew up with private tutors,

503
00:26:48,520 --> 00:26:50,360
Speaker 2: and then he went off to Trinity College, where Lord

504
00:26:50,359 --> 00:26:54,520
Speaker 2: Byron had gone and Oscar Wilde, and while he was there, Actually,

505
00:26:54,600 --> 00:26:58,960
Speaker 2: young Charles Babbage seems fun. He formed the Analytical Society

506
00:26:59,000 --> 00:27:01,240
Speaker 2: with some peers, which is what I consider fun. But

507
00:27:01,320 --> 00:27:03,880
Speaker 2: his other stuff is more directly fun. He was part

508
00:27:03,920 --> 00:27:09,119
Speaker 2: of the Ghost Club. They were paranormal investigators. What Yeah.

509
00:27:09,200 --> 00:27:12,119
Speaker 2: They actually both Aida and especially Charles Babbage do some

510
00:27:12,160 --> 00:27:14,960
Speaker 2: interesting like theological science stuff that I'll talk about in

511
00:27:14,960 --> 00:27:18,200
Speaker 2: a minute. He also either joins or starts a group

512
00:27:18,280 --> 00:27:22,040
Speaker 2: called the Extractors Club, which is a group of students

513
00:27:22,640 --> 00:27:25,880
Speaker 2: who swear to help each other escape asylums if any

514
00:27:25,920 --> 00:27:32,199
Speaker 2: of them are ever declared insane honestly, like practical, I know,

515
00:27:33,520 --> 00:27:36,040
Speaker 2: and just like that's like a good that is a

516
00:27:36,080 --> 00:27:38,119
Speaker 2: green flag. It's a little bit of a red flag.

517
00:27:38,480 --> 00:27:40,800
Speaker 2: But I'm not actually colorblind, but this would be the

518
00:27:40,880 --> 00:27:43,239
Speaker 2: kind of thing I'm colorblind on. This would be a

519
00:27:43,240 --> 00:27:45,600
Speaker 2: red flag and a green flag in a relationship for me.

520
00:27:46,040 --> 00:27:47,639
Speaker 3: Like the fact that you think that you might be

521
00:27:47,760 --> 00:27:51,040
Speaker 3: institutionalized against her will not great. The fact that you

522
00:27:51,040 --> 00:27:53,400
Speaker 3: would help if that happened. You were confirming that you'll

523
00:27:53,400 --> 00:27:54,400
Speaker 3: help somebody escape.

524
00:27:54,480 --> 00:28:00,439
Speaker 2: That is that is nice? Yeah, exactly, and again and

525
00:28:00,520 --> 00:28:02,440
Speaker 2: going back in time and being like this person's crazy

526
00:28:02,480 --> 00:28:04,520
Speaker 2: in the following ways is like always fraught. But like

527
00:28:05,560 --> 00:28:09,359
Speaker 2: I Charles Babbage was adhd or like had something that

528
00:28:09,720 --> 00:28:14,359
Speaker 2: I identify with really hard, which was that he he

529
00:28:14,440 --> 00:28:17,679
Speaker 2: was always starting something new. He was always studying some

530
00:28:17,840 --> 00:28:20,960
Speaker 2: new thing, and he like his work suffered because instead

531
00:28:21,000 --> 00:28:26,399
Speaker 2: of finishing projects, he was onto the next one. I

532
00:28:26,400 --> 00:28:31,520
Speaker 2: identify with that. That's a little bit of a direct hit. Well,

533
00:28:31,720 --> 00:28:33,800
Speaker 2: the next line in my script is that motherfucker should

534
00:28:33,800 --> 00:28:35,840
Speaker 2: have just gotten into podcasting because then you can deep

535
00:28:35,880 --> 00:28:37,320
Speaker 2: dive a new subject every week.

536
00:28:38,240 --> 00:28:40,200
Speaker 3: I was gonna say, I think somebody should do like

537
00:28:40,240 --> 00:28:43,280
Speaker 3: a analysis of eight people who have ADHD and also

538
00:28:43,320 --> 00:28:44,320
Speaker 3: became podcasters.

539
00:28:44,520 --> 00:28:47,560
Speaker 2: There's gonna be a big overlap. I know. I was

540
00:28:47,560 --> 00:28:50,080
Speaker 2: actually worried when I was first got this job, and

541
00:28:50,120 --> 00:28:51,120
Speaker 2: I was like, I was talking to one of my

542
00:28:51,120 --> 00:28:54,640
Speaker 2: friends and I was like, I'm I'm really good at

543
00:28:54,640 --> 00:28:57,920
Speaker 2: starting projects. I'm pretty good at seeing projects through, but

544
00:28:57,920 --> 00:28:59,640
Speaker 2: but I always need to be onto the next thing.

545
00:29:00,440 --> 00:29:04,720
Speaker 2: And my friend was like, every time I talk to you,

546
00:29:04,720 --> 00:29:07,080
Speaker 2: you are in a one month research hole about a

547
00:29:07,080 --> 00:29:10,920
Speaker 2: different thing. That never changes. The fact that you want

548
00:29:10,960 --> 00:29:13,840
Speaker 2: to be in a research hole does not change. I

549
00:29:13,880 --> 00:29:18,880
Speaker 2: was like, so, and here we are, insightful friend. I know,

550
00:29:19,720 --> 00:29:22,120
Speaker 2: he was really into math, and he was really into astronomy,

551
00:29:22,200 --> 00:29:24,720
Speaker 2: Charles Babbage. He gave lectures and wrote papers, which is

552
00:29:24,800 --> 00:29:28,480
Speaker 2: kind of like podcasting, to be honest, and he was

553
00:29:28,480 --> 00:29:31,040
Speaker 2: supported by his dad and his wife's family because there

554
00:29:31,080 --> 00:29:32,760
Speaker 2: wasn't a lot of money in this science stuff. And

555
00:29:32,800 --> 00:29:34,960
Speaker 2: so I'm I want to try this line of work

556
00:29:35,000 --> 00:29:37,040
Speaker 2: as well. Anyone who is rich and trying to get

557
00:29:37,120 --> 00:29:40,960
Speaker 2: married and wants to finance weird projects, hit me up,

558
00:29:41,160 --> 00:29:43,600
Speaker 2: especially if you're landed nobility. I'm going to change my

559
00:29:43,720 --> 00:29:46,000
Speaker 2: tune about titles and all that nonsense. If you can

560
00:29:46,080 --> 00:29:51,640
Speaker 2: make me a baroness just putting that out there, baroness

561
00:29:51,680 --> 00:29:56,000
Speaker 2: Margaret kills you, right, Yeah, but probably not. Actually, I'm

562
00:29:56,040 --> 00:29:59,680
Speaker 2: really picky. Probably don't actually DM me about this. I

563
00:29:59,760 --> 00:30:01,240
Speaker 2: was like, Oh, I'm gonna make this clever joke, and

564
00:30:01,280 --> 00:30:04,680
Speaker 2: I was like, oh, I'm going to destroy my DMS.

565
00:30:05,840 --> 00:30:08,560
Speaker 2: So at one point I wrote in the early nineteen twenties,

566
00:30:08,560 --> 00:30:11,800
Speaker 2: but I meant the eighteen twenties. He goes to France,

567
00:30:12,520 --> 00:30:14,320
Speaker 2: and when he's in France, he learns that the French

568
00:30:14,360 --> 00:30:17,520
Speaker 2: government is pouring a ton of money and energy into math.

569
00:30:18,280 --> 00:30:21,280
Speaker 2: Not theoretical math, although that's cool too, but they are

570
00:30:21,360 --> 00:30:25,160
Speaker 2: hiring computers, like the job description, people who do computing.

571
00:30:25,920 --> 00:30:27,360
Speaker 2: And if people want to hear more about that, they

572
00:30:27,360 --> 00:30:28,920
Speaker 2: can go back and listen to me and Bridget talking

573
00:30:28,960 --> 00:30:31,640
Speaker 2: about that and the black woman who put us on

574
00:30:31,680 --> 00:30:34,600
Speaker 2: the moon and all that cool shit. And so France

575
00:30:34,680 --> 00:30:38,400
Speaker 2: is hiring computers to do logarithm and trigonometry tables, which

576
00:30:38,440 --> 00:30:41,120
Speaker 2: were used for navigation and engineering, so instead of having

577
00:30:41,120 --> 00:30:43,040
Speaker 2: to sit down and do really complicated math, you can

578
00:30:43,080 --> 00:30:47,840
Speaker 2: look at the table. Charles saw this and was like oh,

579
00:30:48,680 --> 00:30:52,200
Speaker 2: doing stuff for the social good is good, and we

580
00:30:52,240 --> 00:30:57,120
Speaker 2: should have more of that. Specifically, I want that for astronomy.

581
00:30:57,320 --> 00:30:59,440
Speaker 2: I wish the British government would hire me to do that.

582
00:31:00,000 --> 00:31:03,240
Speaker 2: And he also said, quote I wish to God these

583
00:31:03,280 --> 00:31:05,640
Speaker 2: tables had been made by steam. Because he was just

584
00:31:05,720 --> 00:31:08,360
Speaker 2: looking at how much work is involved in computing all

585
00:31:08,360 --> 00:31:13,080
Speaker 2: these things. So he was like, all right, I'm gonna

586
00:31:13,080 --> 00:31:15,640
Speaker 2: figure how to do that, because at the end of

587
00:31:15,680 --> 00:31:21,320
Speaker 2: the day, what he was building wasn't a general computer,

588
00:31:22,640 --> 00:31:25,920
Speaker 2: it certainly not. At first. He wanted to build machines

589
00:31:25,960 --> 00:31:30,400
Speaker 2: that could produce mathematical charts. It was Ada who saw

590
00:31:30,440 --> 00:31:32,959
Speaker 2: what it could actually really become, but he hadn't met

591
00:31:33,040 --> 00:31:36,280
Speaker 2: her yet. This is eighteen twenty three. He meets her

592
00:31:36,280 --> 00:31:38,600
Speaker 2: ten years later. She's like seven. She probably still could

593
00:31:38,640 --> 00:31:41,880
Speaker 2: have figured this out. She was a smart kid. Eighteen

594
00:31:41,920 --> 00:31:43,920
Speaker 2: twenty three, he convinces the British government to give him

595
00:31:43,920 --> 00:31:46,600
Speaker 2: a bunch of money, about two million dollars in modern dollars,

596
00:31:47,640 --> 00:31:49,880
Speaker 2: to try and build one of these things. It would

597
00:31:49,920 --> 00:31:53,120
Speaker 2: have twenty five thousand moving parts, which eventually he gets

598
00:31:53,160 --> 00:31:58,640
Speaker 2: down to about eight thousand moving parts. He never finishes it. Instead,

599
00:31:59,640 --> 00:32:02,920
Speaker 2: he spent his life becoming increasingly bitter and grouchy, and

600
00:32:03,000 --> 00:32:04,840
Speaker 2: he spends all of his time complaining that the British

601
00:32:04,840 --> 00:32:09,800
Speaker 2: government doesn't finance the sciences, in particular him enough, Like,

602
00:32:09,880 --> 00:32:13,120
Speaker 2: this is another guy that I've met, you know, Oh.

603
00:32:13,000 --> 00:32:16,720
Speaker 3: If you are in the sciences, technology, you know this

604
00:32:16,800 --> 00:32:19,800
Speaker 3: guy academia. You know this guy who won't stop complaining

605
00:32:19,800 --> 00:32:21,800
Speaker 3: about how his stuff never gets funded.

606
00:32:22,120 --> 00:32:24,440
Speaker 2: You know him. And he's like, I'm a visionary, and

607
00:32:24,480 --> 00:32:27,080
Speaker 2: you're like, okay, Chuck, but like he actually is a visionary.

608
00:32:27,120 --> 00:32:30,360
Speaker 2: You just don't know it, you know, And he's sort

609
00:32:30,400 --> 00:32:32,640
Speaker 2: of insufferable. Later, he's going to go to war against

610
00:32:32,640 --> 00:32:37,160
Speaker 2: street musicians because they keep him awake. That I'm on

611
00:32:37,200 --> 00:32:40,680
Speaker 2: board with. Actually, oh no, I mean fair enough. As

612
00:32:40,720 --> 00:32:43,000
Speaker 2: a former street musician. He now he is complaining about

613
00:32:43,000 --> 00:32:45,160
Speaker 2: street musicians at six in the morning. And I can't

614
00:32:45,160 --> 00:32:47,840
Speaker 2: imagine when I was a street musician, I did not

615
00:32:47,880 --> 00:32:49,760
Speaker 2: live in a life. If I was awake at six

616
00:32:49,800 --> 00:32:51,640
Speaker 2: in the morning, it's because I hadn't gotten home.

617
00:32:51,560 --> 00:32:52,480
Speaker 1: Yet, you know.

618
00:32:53,320 --> 00:32:56,800
Speaker 3: Yeah, nobody like six am street musicians. That's a different level.

619
00:32:57,200 --> 00:33:01,880
Speaker 2: Yeah. Yeah. So in eighteen twenty four, the year after

620
00:33:01,920 --> 00:33:03,120
Speaker 2: he gets a bunch of money to work on the

621
00:33:03,120 --> 00:33:06,080
Speaker 2: difference engine. He takes a job making tables for a

622
00:33:06,120 --> 00:33:12,160
Speaker 2: life insurance company instead, And honestly, that's a good reminder

623
00:33:12,160 --> 00:33:13,800
Speaker 2: of what would have happened if he had built the

624
00:33:13,800 --> 00:33:17,040
Speaker 2: difference engine. It wouldn't have been like now we're mapping

625
00:33:17,080 --> 00:33:20,240
Speaker 2: the stars. It would have been like the British Empire

626
00:33:20,360 --> 00:33:24,360
Speaker 2: got computers one hundred years early, and like life insurance

627
00:33:24,400 --> 00:33:28,200
Speaker 2: gets computers one hundred years early. In eighteen twenty seven

628
00:33:28,400 --> 00:33:30,440
Speaker 2: he published a table of logarithms that would go on

629
00:33:30,480 --> 00:33:32,360
Speaker 2: to be reprinted for one hundred years. And this is

630
00:33:32,400 --> 00:33:35,160
Speaker 2: just stuff he did the math of and so his

631
00:33:35,160 --> 00:33:38,080
Speaker 2: big famous book is called Table of Logarithms of the

632
00:33:38,200 --> 00:33:42,120
Speaker 2: Natural Numbers from one to one hundred eight thousand. That's

633
00:33:42,120 --> 00:33:46,640
Speaker 2: his big book. Also in eighteen twenty seven, his dad died,

634
00:33:46,840 --> 00:33:50,280
Speaker 2: leaving him about one hundred thousand pounds sterling, which is

635
00:33:50,280 --> 00:33:53,120
Speaker 2: about fourteen million dollars in modern money. Then his wife died.

636
00:33:53,200 --> 00:33:56,800
Speaker 2: He also lost five of his eight kids. This man

637
00:33:56,880 --> 00:33:58,040
Speaker 2: was not having a good time.

638
00:33:59,280 --> 00:33:59,480
Speaker 3: Rich.

639
00:33:59,560 --> 00:34:03,960
Speaker 2: Yes, happy, No, there's that study that money buys happiness

640
00:34:04,040 --> 00:34:05,960
Speaker 2: up to about like at the time it was about

641
00:34:06,000 --> 00:34:07,960
Speaker 2: seventy thousand dollars a year, and then after that it

642
00:34:08,000 --> 00:34:10,919
Speaker 2: just levels off. The new number is probably almost twice thought.

643
00:34:10,920 --> 00:34:14,240
Speaker 2: But he also wrote a book with the catchy title

644
00:34:14,400 --> 00:34:16,759
Speaker 2: Reflections on the Decline of Science in England and on

645
00:34:16,800 --> 00:34:19,719
Speaker 2: some of its causes, which was his big like why

646
00:34:19,760 --> 00:34:23,080
Speaker 2: won't the British government give me more money? Like a

647
00:34:23,120 --> 00:34:26,239
Speaker 2: whole book about that one complaint basically, but it's actually,

648
00:34:26,280 --> 00:34:28,279
Speaker 2: I mean, it's like probably true. It argues for more

649
00:34:28,320 --> 00:34:31,400
Speaker 2: public investment in the sciences and better STEM education, you know,

650
00:34:32,120 --> 00:34:35,320
Speaker 2: and especially since like I actually wonder if that comes

651
00:34:35,360 --> 00:34:37,920
Speaker 2: out of him not being a noble right, because the

652
00:34:37,920 --> 00:34:40,520
Speaker 2: people who have access to science are rich people, and

653
00:34:40,600 --> 00:34:42,879
Speaker 2: so if you don't have to work for a living,

654
00:34:42,920 --> 00:34:45,000
Speaker 2: you can study sit around and study things at this time,

655
00:34:45,040 --> 00:34:47,399
Speaker 2: and so like actually trying to teach more people more

656
00:34:47,440 --> 00:34:51,600
Speaker 2: broadly STEM like that's cool. In eighteen thirty two, he

657
00:34:51,640 --> 00:34:54,280
Speaker 2: finished a small prototype of his difference engine. In eighteen

658
00:34:54,320 --> 00:34:58,480
Speaker 2: thirty three, shows it to Ata and her mother. Meanwhile

659
00:35:00,120 --> 00:35:02,080
Speaker 2: going with her mom to see the textile mills and

660
00:35:02,120 --> 00:35:06,839
Speaker 2: the terrible working conditions there, and her takeaway wasn't these

661
00:35:06,840 --> 00:35:08,600
Speaker 2: people are being treated terrible. I don't know how she

662
00:35:08,600 --> 00:35:10,080
Speaker 2: felt about that. Actually I was really annoyed that I

663
00:35:10,080 --> 00:35:13,240
Speaker 2: couln't find outw she felt out about that. But certainly

664
00:35:13,239 --> 00:35:15,600
Speaker 2: part of our takeaway was these machines are fucking cool,

665
00:35:17,400 --> 00:35:22,080
Speaker 2: and the history of automation and machinery and therefore computing

666
00:35:22,520 --> 00:35:25,839
Speaker 2: comes back to textiles, which we talked about on our

667
00:35:25,840 --> 00:35:28,479
Speaker 2: recent Light eight episodes about the automation of these things.

668
00:35:28,560 --> 00:35:29,960
Speaker 2: Was like, one of the first things that steam power

669
00:35:30,040 --> 00:35:32,799
Speaker 2: is being used for automation was ruining the lives of

670
00:35:32,840 --> 00:35:35,360
Speaker 2: workers when it could have been improving their lives except

671
00:35:35,680 --> 00:35:38,880
Speaker 2: for this new thing sweeping the country called capitalism. But

672
00:35:38,960 --> 00:35:41,400
Speaker 2: in the abstract, people are figuring out cool shit the

673
00:35:41,440 --> 00:35:44,600
Speaker 2: machines can do. And it's a shame that the cool

674
00:35:44,640 --> 00:35:47,000
Speaker 2: ideas for what those machines can do are the reason

675
00:35:47,040 --> 00:35:49,319
Speaker 2: that it's this spring was too hot and we've had

676
00:35:49,320 --> 00:35:52,800
Speaker 2: the hottest hero on record for several years in a row. Anyway,

677
00:35:53,560 --> 00:35:55,239
Speaker 2: it's always in the back of my mind whenever I'm

678
00:35:55,239 --> 00:35:57,560
Speaker 2: like because I still think computers and technology are cool,

679
00:35:57,560 --> 00:36:01,879
Speaker 2: but I'm always like, oh thing, Yeah, it's a love hate.

680
00:36:02,000 --> 00:36:07,000
Speaker 2: It's a complicated relationship. It is it is. In eighteen

681
00:36:07,040 --> 00:36:09,360
Speaker 2: oh four, there was this machine invented that called the

682
00:36:09,440 --> 00:36:12,680
Speaker 2: Jacquarde loom, which uses a series of punched cards chained

683
00:36:12,719 --> 00:36:16,240
Speaker 2: together in a continuous sequence to remember textile patterns for weaving.

684
00:36:17,400 --> 00:36:21,200
Speaker 2: And I would argue that the first piece of computer

685
00:36:21,360 --> 00:36:25,480
Speaker 2: art predates the computer by one hundred years because the

686
00:36:25,480 --> 00:36:28,719
Speaker 2: inventor of this loom, whose name is Jacquardes imagine that is,

687
00:36:29,719 --> 00:36:33,280
Speaker 2: he has his portrait woven from silk, and this requires

688
00:36:33,400 --> 00:36:37,239
Speaker 2: twenty four thousand punched cards to produce. And this is

689
00:36:37,280 --> 00:36:40,680
Speaker 2: like a commercially available product, like it's on order, you

690
00:36:40,680 --> 00:36:43,600
Speaker 2: have to like they're made to order. But Charles Babbage,

691
00:36:43,640 --> 00:36:47,160
Speaker 2: for example, has one of these tapestries and you could

692
00:36:47,200 --> 00:36:51,560
Speaker 2: call it a print. It still has humans involved, but

693
00:36:51,640 --> 00:36:56,520
Speaker 2: it is like a machine that is programmed to make

694
00:36:56,560 --> 00:37:01,160
Speaker 2: a thing. Such an interesting perspective. I just I find

695
00:37:01,160 --> 00:37:02,919
Speaker 2: it neat because the thing we're talking about like stem

696
00:37:03,000 --> 00:37:04,320
Speaker 2: and like, oh, what can you do with computers? And

697
00:37:04,320 --> 00:37:05,400
Speaker 2: they're like, well, the first thing you can do is

698
00:37:05,400 --> 00:37:06,920
Speaker 2: you can make a portrait of a rich asshole. It's

699
00:37:06,960 --> 00:37:11,239
Speaker 2: kind of cool. You know, it would have been like

700
00:37:11,320 --> 00:37:13,759
Speaker 2: memes and like it's like you know now it's like

701
00:37:13,760 --> 00:37:15,960
Speaker 2: whenever someone invents a new instrument, the first thing they

702
00:37:16,040 --> 00:37:20,880
Speaker 2: do is like play the Mario brother brothers, you know, like,

703
00:37:20,920 --> 00:37:24,240
Speaker 2: all right, that's fine. So Ada sees the textile machines

704
00:37:24,719 --> 00:37:27,160
Speaker 2: and she's really into it. She's also really into math

705
00:37:27,239 --> 00:37:29,359
Speaker 2: like her mother, and soon she is teaching younger women

706
00:37:29,440 --> 00:37:33,360
Speaker 2: math and she's corresponding with Babbage about his machines. And

707
00:37:33,400 --> 00:37:35,520
Speaker 2: then she makes a pretty good call. Rarely when on

708
00:37:35,520 --> 00:37:37,239
Speaker 2: the show, when I talk about someone getting married, is

709
00:37:37,239 --> 00:37:39,480
Speaker 2: it a good call if it's a woman. She marries

710
00:37:39,520 --> 00:37:43,440
Speaker 2: a wife guy. And this guy is named William Lord King.

711
00:37:44,160 --> 00:37:46,640
Speaker 2: Lord is in his middle name. His title is Lord

712
00:37:46,760 --> 00:37:50,880
Speaker 2: King because king is his last name. That fucking Britain.

713
00:37:51,800 --> 00:37:54,520
Speaker 2: Soon enough, he gets promoted by someone dying and he

714
00:37:54,520 --> 00:37:57,520
Speaker 2: becomes the Earl of Lovelace. So Ad Ada gets the

715
00:37:57,600 --> 00:38:01,319
Speaker 2: name Ada Lovelace, the Countess of Lovelace. And how did

716
00:38:01,480 --> 00:38:06,279
Speaker 2: him to becoming an earl? Makeer accountess? Who knows? Don't

717
00:38:06,320 --> 00:38:07,960
Speaker 2: want to know? If you do, If you know it,

718
00:38:08,080 --> 00:38:13,000
Speaker 2: keep it to yourself. Yeah, it's all a weird soap opera,

719
00:38:13,040 --> 00:38:14,839
Speaker 2: only in this case, it's a soap opera that, instead

720
00:38:14,880 --> 00:38:17,960
Speaker 2: of entertaining people, kills entire cultures and extracts resources from

721
00:38:17,960 --> 00:38:22,359
Speaker 2: around the world. But her husband is a pretty good guy.

722
00:38:22,680 --> 00:38:25,400
Speaker 2: He's really supportive of her. He's really into math and

723
00:38:25,440 --> 00:38:28,480
Speaker 2: science and shit, but he's not as good at it

724
00:38:28,560 --> 00:38:31,640
Speaker 2: as she is, and he doesn't care. He just supports

725
00:38:31,680 --> 00:38:36,239
Speaker 2: her in doing it, Like he leverages his credibility as

726
00:38:36,239 --> 00:38:39,200
Speaker 2: a nobleman emphasis on the dash men to get her

727
00:38:39,200 --> 00:38:42,239
Speaker 2: into spaces that are closed to women. There's like a

728
00:38:43,000 --> 00:38:45,440
Speaker 2: she joins the society for like scientists or whatever, and

729
00:38:45,480 --> 00:38:47,759
Speaker 2: they have this big library and she like can't go

730
00:38:47,920 --> 00:38:49,680
Speaker 2: in and use the books even though she's a member

731
00:38:49,680 --> 00:38:51,839
Speaker 2: of the society because she doesn't have a dick, and

732
00:38:51,840 --> 00:38:54,960
Speaker 2: that annoys me and it annoyed her. The other thing

733
00:38:54,960 --> 00:38:58,800
Speaker 2: about her husband, mister the King, he is a huge

734
00:38:58,880 --> 00:39:03,279
Speaker 2: lord Byron fan and so is Ada Lovelace. The both

735
00:39:03,320 --> 00:39:06,840
Speaker 2: of them are obsessed with the poetry of dead rockstar

736
00:39:06,920 --> 00:39:11,640
Speaker 2: Dad and like, one, what are the odds that he

737
00:39:11,640 --> 00:39:14,080
Speaker 2: turned into like this like perfectly nice husband based on

738
00:39:14,200 --> 00:39:17,040
Speaker 2: his interests. You know, this is like the person who's like, oh,

739
00:39:17,080 --> 00:39:19,160
Speaker 2: all of my interests are the following literature is just

740
00:39:19,239 --> 00:39:22,560
Speaker 2: red flag after red flag and then like perfectly sweet man,

741
00:39:24,160 --> 00:39:27,120
Speaker 2: and I would bet a moderate amount of money that

742
00:39:27,160 --> 00:39:30,120
Speaker 2: the pair swung together. I wouldn't bet all my money.

743
00:39:30,520 --> 00:39:33,120
Speaker 2: But that's like my vibe I'm picking up.

744
00:39:33,600 --> 00:39:35,919
Speaker 3: So I guess that green curtain to make sure that

745
00:39:36,400 --> 00:39:39,200
Speaker 3: she never became a libertine poet did not work.

746
00:39:40,080 --> 00:39:44,040
Speaker 2: Oh no, she is absolutely, that's the thing, Like she's

747
00:39:44,080 --> 00:39:45,920
Speaker 2: gambling or we'll talk about what she gets up to.

748
00:39:47,320 --> 00:39:49,040
Speaker 2: She now is in the prime of her life, being

749
00:39:49,040 --> 00:39:51,120
Speaker 2: a rich bit she's just like married up, even though

750
00:39:51,160 --> 00:39:54,640
Speaker 2: she was already up. You know, she has three kids,

751
00:39:54,680 --> 00:39:56,759
Speaker 2: so she's busy running the household. I put that in

752
00:39:56,840 --> 00:39:58,879
Speaker 2: quotes because she is hiring people to do the work

753
00:39:58,880 --> 00:40:02,360
Speaker 2: of running her house sold Well. Call this class bitterness

754
00:40:02,360 --> 00:40:05,040
Speaker 2: with Margaret kilj that's the name of this episode. She

755
00:40:05,080 --> 00:40:08,240
Speaker 2: spends her time riding horses, playing harp and studying really

756
00:40:08,239 --> 00:40:11,120
Speaker 2: complex math and hiring the best mathematicians in the world

757
00:40:11,120 --> 00:40:13,759
Speaker 2: to tutor her, who're willing to not just because of

758
00:40:13,800 --> 00:40:15,680
Speaker 2: the money, but because her dad is famous as hell.

759
00:40:17,320 --> 00:40:19,560
Speaker 2: And she's really into music too. She wants to be

760
00:40:19,560 --> 00:40:22,160
Speaker 2: a professional singer. And her friends are like, ah, you

761
00:40:22,200 --> 00:40:25,239
Speaker 2: should like stick to the harp and math, man, you're

762
00:40:25,320 --> 00:40:29,560
Speaker 2: so good at the harp and math. It's before I

763
00:40:29,560 --> 00:40:33,319
Speaker 2: have honest friends, maybe or maybe not you know, maybe

764
00:40:33,320 --> 00:40:38,080
Speaker 2: this should have encouraged her. Meanwhile, her mom, in classic

765
00:40:38,120 --> 00:40:40,480
Speaker 2: form of good at politics not the best at being

766
00:40:40,520 --> 00:40:43,080
Speaker 2: a mom, is controlling as hell, yelling at her about

767
00:40:43,080 --> 00:40:45,120
Speaker 2: how she handles herself in society because I think she's

768
00:40:45,160 --> 00:40:47,120
Speaker 2: kind of being a bit of a libertine, and also

769
00:40:47,200 --> 00:40:50,520
Speaker 2: how she's like raising her kids and shit. Ada meanwhile

770
00:40:50,600 --> 00:40:55,120
Speaker 2: is gambling on horses, drinking and I think fucking around.

771
00:40:55,719 --> 00:40:58,879
Speaker 2: She is her father's daughter. And all the while she's

772
00:40:58,920 --> 00:41:03,240
Speaker 2: talking to Babbage about them machines. Much like our sponsor,

773
00:41:03,280 --> 00:41:08,719
Speaker 2: the extinct store, Babbages, if you build a time machine,

774
00:41:08,760 --> 00:41:12,120
Speaker 2: you can go back, and I recommend buying anything where

775
00:41:12,160 --> 00:41:14,560
Speaker 2: you have to get a bunch of floppy discs to

776
00:41:14,680 --> 00:41:18,080
Speaker 2: install it and then swap out the floppy discs at

777
00:41:18,120 --> 00:41:20,040
Speaker 2: the end of different scenes, and then sometimes you have

778
00:41:20,080 --> 00:41:22,440
Speaker 2: to go back and forth Wizardry. You could be playing

779
00:41:22,440 --> 00:41:39,560
Speaker 2: Wizardry right now from our sponsor Babbages, and we're back.

780
00:41:40,680 --> 00:41:42,520
Speaker 2: So Charles Babbage is working on these machines, but he

781
00:41:42,520 --> 00:41:45,480
Speaker 2: has a problem. Well, his real problem is that everyone

782
00:41:45,480 --> 00:41:48,919
Speaker 2: he loves is dead and he's sad. But his other

783
00:41:48,960 --> 00:41:52,960
Speaker 2: problem is that he isn't good at finishing projects. And

784
00:41:53,560 --> 00:41:56,160
Speaker 2: his ability to be productive and make a world changing

785
00:41:56,160 --> 00:41:59,960
Speaker 2: machine is hampered by his inability to finish things. Meanwhile,

786
00:42:00,040 --> 00:42:02,200
Speaker 2: the writing books of titles like on the Economy of

787
00:42:02,239 --> 00:42:06,799
Speaker 2: Machinery and Manufacturers about how to efficiently run factories, and

788
00:42:06,840 --> 00:42:11,120
Speaker 2: he starts writing sciencey theology or what was called natural theology.

789
00:42:12,719 --> 00:42:14,920
Speaker 2: And this is kind of before I mean, there's atheist

790
00:42:14,960 --> 00:42:16,839
Speaker 2: at this time, right, He's always been atheists as soon.

791
00:42:16,880 --> 00:42:19,640
Speaker 2: But there's this thing that's happening now that people are

792
00:42:19,640 --> 00:42:22,279
Speaker 2: really into science where people are like, oh, well, like

793
00:42:23,000 --> 00:42:24,920
Speaker 2: I don't know, it's like all complicated, and God made

794
00:42:24,920 --> 00:42:27,480
Speaker 2: all the complicated and it's like kind of interesting. He

795
00:42:27,600 --> 00:42:30,440
Speaker 2: was the potentially the first person to basically suggest that

796
00:42:30,480 --> 00:42:33,920
Speaker 2: God is a programmer creating a complex system. Therefore is

797
00:42:34,000 --> 00:42:35,839
Speaker 2: responsible for the fact that we now have that thing

798
00:42:35,880 --> 00:42:37,840
Speaker 2: where some people believe we're all living in a simulation.

799
00:42:38,920 --> 00:42:42,240
Speaker 2: I am one of those people. I can't say it's wrong.

800
00:42:42,680 --> 00:42:46,520
Speaker 3: I watched a documentary and I've walked away from that

801
00:42:46,560 --> 00:42:49,680
Speaker 3: documentary thinking it's more likely than not.

802
00:42:49,840 --> 00:42:51,000
Speaker 2: I know it sounds absurd.

803
00:42:51,120 --> 00:42:52,560
Speaker 3: I know it sounds like it is like a massive

804
00:42:52,600 --> 00:42:54,640
Speaker 3: bonng rip, but like I do believe it.

805
00:42:54,680 --> 00:42:58,920
Speaker 2: I believe it. My equivalent level of wacky belief is

806
00:42:59,000 --> 00:43:02,759
Speaker 2: equantum immortality. I like, I'm like kind of sold on it.

807
00:43:04,000 --> 00:43:06,560
Speaker 3: You should do a bonus episode that's just like cool

808
00:43:06,640 --> 00:43:09,720
Speaker 3: Zone team, what's your wackieth but deeply held belief?

809
00:43:10,160 --> 00:43:13,360
Speaker 2: Yeah, totally, totally Okay, Well, so you might like his

810
00:43:13,480 --> 00:43:18,560
Speaker 2: natural theology. He says that the repeating patterns found all

811
00:43:18,600 --> 00:43:20,840
Speaker 2: throughout the natural world are evidence of the fact that

812
00:43:20,880 --> 00:43:24,640
Speaker 2: this is a programmed thing, and that miracles aren't breaking

813
00:43:24,800 --> 00:43:28,440
Speaker 2: natural laws but were instead, quote, the exact fulfillment of

814
00:43:28,560 --> 00:43:32,920
Speaker 2: much more extensive laws than those we suppose to exist. Oh,

815
00:43:33,520 --> 00:43:35,000
Speaker 2: it is that kind of like because as a kid,

816
00:43:35,040 --> 00:43:37,680
Speaker 2: we'd always be like, if someone believed in ghosts, you'd

817
00:43:37,680 --> 00:43:39,160
Speaker 2: have to figure how to reconcile with science. And the

818
00:43:39,160 --> 00:43:42,480
Speaker 2: answer is like, well, science doesn't understand it yet, right, Like,

819
00:43:42,880 --> 00:43:45,640
Speaker 2: that's not a I don't disagree with that assessment. You know,

820
00:43:45,880 --> 00:43:48,719
Speaker 2: that does not specifically my setup of beliefs, but like

821
00:43:48,920 --> 00:43:53,920
Speaker 2: makes sense to me. It makes sense. Yeah, And meanwhile

822
00:43:53,960 --> 00:43:56,920
Speaker 2: he's like throwing huge soares that Darwin and Dickens and

823
00:43:56,960 --> 00:43:59,480
Speaker 2: people like that come to He ran for office on

824
00:43:59,520 --> 00:44:02,000
Speaker 2: a yay actories and computers platform, but did not win.

825
00:44:03,360 --> 00:44:05,960
Speaker 2: He wasn't popular because people thought he squandered all the

826
00:44:05,960 --> 00:44:08,160
Speaker 2: public money, because he got a lot of money from

827
00:44:08,160 --> 00:44:10,080
Speaker 2: the government to build a machine and then he didn't

828
00:44:10,680 --> 00:44:14,200
Speaker 2: so kind of fair. He didn't finish the difference engine

829
00:44:14,719 --> 00:44:18,040
Speaker 2: in part because making it was too took too long,

830
00:44:18,200 --> 00:44:20,720
Speaker 2: and it was also it wasn't just like him carving

831
00:44:20,760 --> 00:44:23,000
Speaker 2: the brass pieces. He's like hiring people and working with

832
00:44:23,040 --> 00:44:27,240
Speaker 2: engineers and stuff. Right, But soon he already invented something

833
00:44:27,280 --> 00:44:30,320
Speaker 2: better than the difference Engine. He invented the analytical engine.

834
00:44:30,640 --> 00:44:33,320
Speaker 2: And this one would use punched cards to store data

835
00:44:33,400 --> 00:44:37,400
Speaker 2: like the looms did, and just to reiterate that modern

836
00:44:37,400 --> 00:44:39,760
Speaker 2: computing developed out of art instead of the other way around,

837
00:44:41,920 --> 00:44:45,399
Speaker 2: this analytical machine would basically be a universal computer. All

838
00:44:45,520 --> 00:44:48,600
Speaker 2: but he still mostly he's still seen it as a

839
00:44:48,640 --> 00:44:50,719
Speaker 2: way to compute tables and charts and shit, just like

840
00:44:51,200 --> 00:44:55,640
Speaker 2: more efficiently, with like less user intervention, like less programming

841
00:44:56,000 --> 00:45:00,680
Speaker 2: each individual setup. Right. In eighteen four he goes to

842
00:45:00,719 --> 00:45:03,280
Speaker 2: Italy and he gives a lecture about this analytical engine.

843
00:45:03,360 --> 00:45:06,080
Speaker 2: An Italian Army engineer who decades later is going to

844
00:45:06,080 --> 00:45:08,000
Speaker 2: become a center right Prime Minister of Italy. Is a

845
00:45:08,000 --> 00:45:11,000
Speaker 2: guy named Luigi because he's Italian. That actually is his name,

846
00:45:11,719 --> 00:45:15,040
Speaker 2: and he's into it. And in eighteen forty two he

847
00:45:15,080 --> 00:45:20,120
Speaker 2: wrote about the analytical engine in French. Aida translated it

848
00:45:20,160 --> 00:45:23,760
Speaker 2: into English for publication. The original was about eight thousand

849
00:45:23,800 --> 00:45:27,560
Speaker 2: words or so. She added a ton of shit. Her

850
00:45:27,680 --> 00:45:30,880
Speaker 2: translation was about twenty thousand words because of all the notes.

851
00:45:31,560 --> 00:45:34,960
Speaker 2: This is her thing. This is the thing that she

852
00:45:35,080 --> 00:45:38,120
Speaker 2: wrote that cements her in history, which is so wild

853
00:45:38,160 --> 00:45:41,000
Speaker 2: that it's like a translation of a thing. But that's

854
00:45:41,000 --> 00:45:44,000
Speaker 2: actually a fairly normal way for people to break into

855
00:45:44,000 --> 00:45:46,720
Speaker 2: sciences and stuff at the time is to add notes

856
00:45:46,760 --> 00:45:53,520
Speaker 2: to existing work by translating it. So while she's writing this,

857
00:45:53,520 --> 00:45:55,279
Speaker 2: this is the thing that have you run across the like, Oh,

858
00:45:55,360 --> 00:45:57,600
Speaker 2: Aida didn't really do it. Babbage did all the work.

859
00:45:57,760 --> 00:46:00,880
Speaker 3: Oh yes, many many times. That's something that tech bros

860
00:46:01,040 --> 00:46:02,120
Speaker 3: love to trot out.

861
00:46:02,600 --> 00:46:06,160
Speaker 2: Yeah you know who didn't believe that? Who Charles Babbage.

862
00:46:07,280 --> 00:46:11,560
Speaker 2: He wrote explicitly about the fact that it was Ada's work.

863
00:46:12,960 --> 00:46:16,319
Speaker 2: Take that, tech bros. Yeah, listen to your own fucking hero.

864
00:46:17,960 --> 00:46:22,080
Speaker 2: She corresponded with him about it all the time. Mail

865
00:46:22,120 --> 00:46:24,520
Speaker 2: in London was like texting. It was six times a day,

866
00:46:25,880 --> 00:46:29,680
Speaker 2: and so people just like so she just wrote him

867
00:46:29,680 --> 00:46:31,279
Speaker 2: and was like, hey, I'm working on this part of

868
00:46:31,280 --> 00:46:33,520
Speaker 2: it and stuff, and they correspond about it. But it

869
00:46:33,560 --> 00:46:37,239
Speaker 2: was her ideas. And I rarely say things are like

870
00:46:37,440 --> 00:46:39,640
Speaker 2: history has a consensus about a thing on this show,

871
00:46:39,680 --> 00:46:44,360
Speaker 2: because like usually they don't. Like Charles Babbage feels this way,

872
00:46:44,440 --> 00:46:46,520
Speaker 2: and so does everyone who actually studies it, as best

873
00:46:46,520 --> 00:46:48,920
Speaker 2: as I can tell, and like he was there, y'all,

874
00:46:49,160 --> 00:46:52,359
Speaker 2: he would know, yeah, and he's like, I mean, he's

875
00:46:52,360 --> 00:46:55,520
Speaker 2: supportive of her work, but he's not like the hero

876
00:46:55,680 --> 00:46:58,839
Speaker 2: of like progressiveness and feminism or something either. But oh

877
00:46:58,880 --> 00:47:02,800
Speaker 2: and then meanwhile, her dutiful husband is inching over her pencil,

878
00:47:03,160 --> 00:47:05,560
Speaker 2: like it's like the equivalent of like he's like typing

879
00:47:05,560 --> 00:47:08,120
Speaker 2: it up, which is like fucking cool.

880
00:47:08,600 --> 00:47:10,600
Speaker 3: Yeah, we don't get to do a lot of I

881
00:47:10,600 --> 00:47:12,240
Speaker 3: imagine you don't get to do a lot of stories

882
00:47:12,239 --> 00:47:16,239
Speaker 3: about the supportive helphol men in the orbit of a

883
00:47:16,680 --> 00:47:17,400
Speaker 3: talented woman.

884
00:47:17,800 --> 00:47:21,520
Speaker 2: I know the men quietly in the background. They do

885
00:47:21,640 --> 00:47:23,600
Speaker 2: come up and I make they make me very happy,

886
00:47:23,960 --> 00:47:26,759
Speaker 2: like secretly my favorite kind of person to cover on

887
00:47:26,800 --> 00:47:28,279
Speaker 2: the show as a wife guy, which is annoying. It

888
00:47:28,280 --> 00:47:30,680
Speaker 2: should be the cool wife or the cool unmarried woman.

889
00:47:30,760 --> 00:47:32,560
Speaker 2: But in some ways, I'm just like, oh, look at

890
00:47:32,560 --> 00:47:34,280
Speaker 2: the guy. He's so nice.

891
00:47:34,520 --> 00:47:38,000
Speaker 3: I mean, not to give unsolicited romantic advice, but somebody

892
00:47:38,040 --> 00:47:40,040
Speaker 3: once told me that if you are an ambitious woman

893
00:47:40,560 --> 00:47:43,759
Speaker 3: that and you are going to like align yourself with

894
00:47:43,800 --> 00:47:46,640
Speaker 3: a man, that man could either be an anchor or

895
00:47:46,680 --> 00:47:47,440
Speaker 3: a springboard.

896
00:47:47,480 --> 00:47:51,680
Speaker 2: There is no in between. So she's very wisely, yeah,

897
00:47:51,920 --> 00:47:55,960
Speaker 2: that makes some sense. If people don't support the projects

898
00:47:55,960 --> 00:48:00,960
Speaker 2: you're doing, it's not worth it, not worth it. And

899
00:48:01,040 --> 00:48:04,279
Speaker 2: so the thing that Babbage did try to write for

900
00:48:04,440 --> 00:48:08,000
Speaker 2: this piece, this translation, he wanted to write an anonymous

901
00:48:08,000 --> 00:48:12,160
Speaker 2: preface about how the government wasn't sponsoring science enough and

902
00:48:12,160 --> 00:48:18,040
Speaker 2: now let you get more money, and Ada is like, no,

903
00:48:18,160 --> 00:48:20,040
Speaker 2: I'm good. I don't want to bet in my book,

904
00:48:20,440 --> 00:48:22,279
Speaker 2: which is more evidence of the fact that he didn't.

905
00:48:22,320 --> 00:48:25,760
Speaker 2: Fucking like she controlled this thing. It was her project.

906
00:48:26,880 --> 00:48:29,120
Speaker 2: And it comes out and her dutiful husband is giving

907
00:48:29,120 --> 00:48:30,839
Speaker 2: away copies to all his friends, being like, look how

908
00:48:30,880 --> 00:48:33,839
Speaker 2: fucking cool my wife is. And it's the notes in

909
00:48:33,880 --> 00:48:36,880
Speaker 2: this in which she basically writes the first computer programs.

910
00:48:37,880 --> 00:48:40,680
Speaker 2: She writes out hypothetical programs that this computer could be

911
00:48:40,760 --> 00:48:43,680
Speaker 2: used for And so there's the like, you know, is

912
00:48:43,680 --> 00:48:48,160
Speaker 2: she a diversity inclusion or whatever? Is she overrated? And

913
00:48:48,320 --> 00:48:51,600
Speaker 2: She's only overrated in the same way that so is

914
00:48:51,680 --> 00:48:56,600
Speaker 2: Charles Babbage. Neither of them made computers. Both of them

915
00:48:57,040 --> 00:49:00,839
Speaker 2: thought about computers. You know. He in a cool I

916
00:49:00,920 --> 00:49:03,640
Speaker 2: like the idea that people are able to like come

917
00:49:03,760 --> 00:49:07,560
Speaker 2: up with an imaginary thing and then develop it and

918
00:49:07,600 --> 00:49:10,480
Speaker 2: build it all in their minds. And I'm impressed by that.

919
00:49:11,920 --> 00:49:14,560
Speaker 2: In terms of what they actually hypothesized. Lovelace is as

920
00:49:14,560 --> 00:49:16,960
Speaker 2: important as Babbage. There's no doubt in my mind. Babbage

921
00:49:16,960 --> 00:49:20,040
Speaker 2: did hardware, love Lace did software. Babbage figured out how

922
00:49:20,040 --> 00:49:21,879
Speaker 2: to make a thing. Lovelace figured out what you could

923
00:49:21,880 --> 00:49:25,319
Speaker 2: do with it. In this work she invented loops and

924
00:49:25,360 --> 00:49:28,560
Speaker 2: nested loops. In programming, she talked about a hypothetical thing

925
00:49:28,600 --> 00:49:30,319
Speaker 2: that could have taken three hundred and thirty cards, but

926
00:49:30,360 --> 00:49:31,879
Speaker 2: then instead figured out how to do it with only

927
00:49:31,920 --> 00:49:36,360
Speaker 2: three cards. She dreamed about what computers could do beyond numbers,

928
00:49:36,360 --> 00:49:40,000
Speaker 2: and hypothesized writing music on them. She wrote that quote

929
00:49:40,200 --> 00:49:42,840
Speaker 2: the fundamental relations of pitch sound in the Science of

930
00:49:42,840 --> 00:49:46,480
Speaker 2: Harmony could be used in order to quote compose elaborate

931
00:49:46,520 --> 00:49:50,080
Speaker 2: and scientific pieces of music of any degree of complexity

932
00:49:50,160 --> 00:49:55,280
Speaker 2: or extent. She also predicted, I think accurately that computers

933
00:49:55,320 --> 00:49:58,520
Speaker 2: will never be able to think that AI itself is

934
00:49:59,040 --> 00:50:02,960
Speaker 2: sort of an illusion. She wrote, quote, the analytical engine

935
00:50:02,960 --> 00:50:06,080
Speaker 2: has no pretensions to originate anything. It can do whatever

936
00:50:06,160 --> 00:50:11,000
Speaker 2: we know how to in order to perform, and essentially later,

937
00:50:11,520 --> 00:50:15,160
Speaker 2: the way that Babbage comes back into fame is that

938
00:50:16,080 --> 00:50:22,080
Speaker 2: Alan Turing finds Ada's writing and famously I don't remember

939
00:50:22,080 --> 00:50:23,799
Speaker 2: what episode we covered him on, but he was a

940
00:50:23,840 --> 00:50:27,360
Speaker 2: persecutive for homosexuality, inventor of computers who also defeated the Nazis.

941
00:50:27,400 --> 00:50:30,560
Speaker 2: Alan Turing that guy, okay again, annoying thing on Twitter

942
00:50:30,680 --> 00:50:32,120
Speaker 2: or right wing people are like now I see all

943
00:50:32,120 --> 00:50:33,799
Speaker 2: the right wing shit on Twitter ever since Elon must

944
00:50:33,800 --> 00:50:35,800
Speaker 2: took over and the you know, engagement bait or whatever,

945
00:50:36,000 --> 00:50:38,560
Speaker 2: but there's this thing where it's like, well, no one

946
00:50:38,600 --> 00:50:41,160
Speaker 2: from this country's flag ever invented anything, and it's like

947
00:50:41,200 --> 00:50:47,240
Speaker 2: the trans inclusive rainbow flag, and it's like Alan Turing

948
00:50:48,120 --> 00:50:55,480
Speaker 2: beat the Nazis. Yeah, like, I mean there's a lot still. Yeah,

949
00:50:55,719 --> 00:50:59,520
Speaker 2: you're talking about forty percent of the human population is

950
00:50:59,719 --> 00:51:03,040
Speaker 2: rough LGBT by old studies from one hundred years ago, Like,

951
00:51:03,600 --> 00:51:07,160
Speaker 2: I have a feeling people did some shit. People did

952
00:51:07,239 --> 00:51:07,719
Speaker 2: some shit.

953
00:51:07,800 --> 00:51:10,480
Speaker 3: And I gotta say that quote that you just read

954
00:51:10,480 --> 00:51:14,200
Speaker 3: from Lovelace about how computers would only ever be like

955
00:51:14,320 --> 00:51:18,000
Speaker 3: regurgitating what we know, I cannot believe that that was

956
00:51:18,040 --> 00:51:21,000
Speaker 3: not written this year about AI because it is so

957
00:51:21,360 --> 00:51:25,600
Speaker 3: fucking spot on, and it is wild to hear how

958
00:51:26,040 --> 00:51:26,919
Speaker 3: prescient that.

959
00:51:27,080 --> 00:51:29,879
Speaker 2: Was all the way back then. Yeah, when computers were

960
00:51:29,920 --> 00:51:34,080
Speaker 2: literally a figurement of her and Babbage's imagination. That is like,

961
00:51:34,160 --> 00:51:36,360
Speaker 2: that is like some mind blowing shit right there. Yeah,

962
00:51:36,400 --> 00:51:39,080
Speaker 2: because the actual crazy magic is what the human mind

963
00:51:39,120 --> 00:51:46,240
Speaker 2: can do. And so Alan Turing called this objection Lovelace's objection,

964
00:51:47,440 --> 00:51:50,800
Speaker 2: and it's like still stands as like a thing in

965
00:51:51,120 --> 00:51:56,120
Speaker 2: modern computer science or whatever. She was the force that

966
00:51:56,320 --> 00:51:58,600
Speaker 2: almost brought us to the computer age one hundred years early,

967
00:51:58,719 --> 00:52:02,479
Speaker 2: because she basically hounded Babbage into letting her take over

968
00:52:03,080 --> 00:52:08,000
Speaker 2: not building, but like project managing the building thereof. And

969
00:52:09,040 --> 00:52:10,279
Speaker 2: I think her husband was going to have to be

970
00:52:10,320 --> 00:52:12,520
Speaker 2: a proxy in order to like make this happen or whatever.

971
00:52:13,440 --> 00:52:15,840
Speaker 2: But I read one version where it was basically like

972
00:52:15,840 --> 00:52:17,520
Speaker 2: Babbage was the CTO and she was going to be

973
00:52:17,560 --> 00:52:21,920
Speaker 2: the CEO, you know, and this is not the kind

974
00:52:21,920 --> 00:52:23,840
Speaker 2: of thing you can build in your garage. The analytical

975
00:52:23,880 --> 00:52:25,560
Speaker 2: engine would have been the size of a freight train,

976
00:52:25,680 --> 00:52:27,719
Speaker 2: or maybe the size of an engine car. I am

977
00:52:27,760 --> 00:52:29,719
Speaker 2: confused by the thing I read about it. It would

978
00:52:29,719 --> 00:52:32,360
Speaker 2: have involved at least fifty thousand moving parts, and it

979
00:52:32,400 --> 00:52:35,000
Speaker 2: would have required government intervention to make it happen. They

980
00:52:35,040 --> 00:52:37,080
Speaker 2: actually would have had to give more money. And basically

981
00:52:37,080 --> 00:52:40,080
Speaker 2: she writes all these letters being like, hey, Bud, let

982
00:52:40,120 --> 00:52:43,560
Speaker 2: me take over. I can actually make this happen. I'm

983
00:52:43,600 --> 00:52:46,480
Speaker 2: not a bitter old man who everyone's mad at, you know.

984
00:52:46,760 --> 00:52:50,000
Speaker 2: And he eventually relents and he's like, okay, let's make

985
00:52:50,000 --> 00:52:56,200
Speaker 2: this happen. And instead she gets sick. She was never

986
00:52:56,239 --> 00:52:58,880
Speaker 2: particularly healthy, but in her thirty she got way sicker.

987
00:52:59,000 --> 00:53:01,279
Speaker 2: It was cervical cancer, though she didn't know that for

988
00:53:01,320 --> 00:53:04,200
Speaker 2: a while, and she's like taking a lot of medication,

989
00:53:04,280 --> 00:53:06,719
Speaker 2: a lot of laudanum and other stuff for the pain.

990
00:53:08,640 --> 00:53:11,080
Speaker 2: So instead of fundamentally changing the world, which she absolutely

991
00:53:11,080 --> 00:53:15,640
Speaker 2: could have done, she died at thirty six, same age

992
00:53:15,680 --> 00:53:19,280
Speaker 2: that her father died. While she was on her deathbed,

993
00:53:19,360 --> 00:53:21,920
Speaker 2: she requested that Charles Dickens come to her bedside to

994
00:53:21,960 --> 00:53:24,320
Speaker 2: read to her about death from one of his books,

995
00:53:24,960 --> 00:53:27,399
Speaker 2: and she wrote about herself while she died, I begin

996
00:53:27,480 --> 00:53:30,520
Speaker 2: to understand death, which is going on quietly and gradually

997
00:53:30,560 --> 00:53:32,560
Speaker 2: every minute, and will never be a thing of one

998
00:53:32,600 --> 00:53:38,640
Speaker 2: particular moment. And she also, while on her deathbed, made

999
00:53:38,680 --> 00:53:42,439
Speaker 2: a confession that upset her husband gravely, and we will

1000
00:53:42,480 --> 00:53:47,120
Speaker 2: never know what it was. And I'm so annoyed. My

1001
00:53:47,239 --> 00:53:52,000
Speaker 2: money is on cheating, but I'd rather it was. My father.

1002
00:53:52,080 --> 00:53:53,759
Speaker 2: Lord Byron is alive and he's a vampire and it's

1003
00:53:53,760 --> 00:53:56,600
Speaker 2: going to turn me into a vampire. Sorry, Bud. She

1004
00:53:56,719 --> 00:53:58,919
Speaker 2: let her mother save her soul on her deathbed because

1005
00:53:58,920 --> 00:54:01,720
Speaker 2: her mother's like writing her the same notes like save today,

1006
00:54:02,000 --> 00:54:06,480
Speaker 2: you know, like, hey, how about today? I want Jesus today.

1007
00:54:06,600 --> 00:54:10,680
Speaker 2: And so she religiously converted back to Christianity from people

1008
00:54:10,719 --> 00:54:14,000
Speaker 2: like to argue people like try to own her for

1009
00:54:14,080 --> 00:54:19,560
Speaker 2: whatever their particular religion or lack of religion is scientific atheism.

1010
00:54:20,040 --> 00:54:21,920
Speaker 2: It also could be possible that she was a deist

1011
00:54:22,040 --> 00:54:25,600
Speaker 2: like her father, or a pantheist. She wrote a lot

1012
00:54:25,640 --> 00:54:28,200
Speaker 2: about God as like she seemed to be kind of

1013
00:54:28,200 --> 00:54:30,960
Speaker 2: on a like natural theology page. Somewhere between that and atheism.

1014
00:54:31,040 --> 00:54:33,160
Speaker 2: She talked about science was her religion, but not in

1015
00:54:33,200 --> 00:54:35,000
Speaker 2: a way where it was like, therefore, I don't need religion.

1016
00:54:35,160 --> 00:54:39,200
Speaker 2: I think she meant it. She's just interesting And I

1017
00:54:39,200 --> 00:54:41,279
Speaker 2: have no idea if she accepted Christ in earnest, or

1018
00:54:41,280 --> 00:54:42,920
Speaker 2: if it was to ease her mother's worries, or she

1019
00:54:43,000 --> 00:54:45,320
Speaker 2: just did the like isn't it that that's that logic

1020
00:54:45,480 --> 00:54:47,839
Speaker 2: puzzle of like, well you might as well on your

1021
00:54:47,840 --> 00:54:51,080
Speaker 2: deathbed because there's no harm in not doing it, or yeah,

1022
00:54:51,360 --> 00:54:52,920
Speaker 2: I don't know. I like to think she did it

1023
00:54:52,920 --> 00:54:54,960
Speaker 2: for her mom. I mean whatever, like but like it's

1024
00:54:55,000 --> 00:54:56,399
Speaker 2: like a nice like, oh I don't need to worry

1025
00:54:56,440 --> 00:54:58,160
Speaker 2: about my soul or whatever, you know. I don't know.

1026
00:54:59,200 --> 00:55:02,760
Speaker 2: But she insisted she be buried next to her father.

1027
00:55:03,760 --> 00:55:06,759
Speaker 2: This was the fact that made me then deep dive.

1028
00:55:06,800 --> 00:55:11,200
Speaker 2: Lord Byron, I was just doing mostly Ada and a

1029
00:55:11,239 --> 00:55:15,239
Speaker 2: little bit of Charles, and I was like, man, she

1030
00:55:15,400 --> 00:55:17,719
Speaker 2: was raised to have nothing to do with her father,

1031
00:55:18,600 --> 00:55:20,759
Speaker 2: and she was like, I'm getting buried next to my father.

1032
00:55:22,200 --> 00:55:25,480
Speaker 2: Her memorial was engraved with a sonnet that she wrote

1033
00:55:25,480 --> 00:55:27,960
Speaker 2: called The Rainbow, which is about how despite the miseries

1034
00:55:28,000 --> 00:55:30,160
Speaker 2: and mourning of the world. God gives us rainbow so

1035
00:55:30,200 --> 00:55:32,520
Speaker 2: that we can be soothed. It's actually very sweet. I

1036
00:55:32,600 --> 00:55:34,640
Speaker 2: actually like it more than I like Lord Byron's poetry

1037
00:55:34,640 --> 00:55:38,239
Speaker 2: that I've read, but I've only read a little bit

1038
00:55:38,239 --> 00:55:42,839
Speaker 2: of Lord Byron's poetry. Neither her mother nor Babbage came

1039
00:55:42,840 --> 00:55:46,200
Speaker 2: to her funeral. I am not sure why, especially her mother.

1040
00:55:46,840 --> 00:55:50,160
Speaker 2: It might have been an objection to the location, and

1041
00:55:50,200 --> 00:55:54,439
Speaker 2: the obituaries about her from the time are just discussing now.

1042
00:55:54,440 --> 00:55:57,680
Speaker 2: I know she seemed really masculine, but don't worry, she

1043
00:55:57,800 --> 00:56:00,600
Speaker 2: was still feminine at heart. She liked me music like

1044
00:56:00,640 --> 00:56:03,560
Speaker 2: a proper woman, even though she did all that man's stuff.

1045
00:56:04,040 --> 00:56:07,080
Speaker 3: How embarrassing that she did so much, and that that's

1046
00:56:07,120 --> 00:56:10,080
Speaker 3: what her obituary was concerned with. Did she hear the

1047
00:56:10,160 --> 00:56:12,080
Speaker 3: traditional gender roles? Don't worry y'all.

1048
00:56:12,120 --> 00:56:18,520
Speaker 2: She totally did. Yeah, God damn it. She had three kids.

1049
00:56:18,719 --> 00:56:20,680
Speaker 2: Her oldest son and her did not get along. He

1050
00:56:20,719 --> 00:56:22,920
Speaker 2: fucked off to the navy, deserted, and died working in

1051
00:56:22,920 --> 00:56:26,200
Speaker 2: a shipyard at twenty six. Her daughter married a poet

1052
00:56:26,200 --> 00:56:28,600
Speaker 2: and moved to Southwest Asia and became the world's premier

1053
00:56:28,680 --> 00:56:33,520
Speaker 2: breeder of Arabian horses. Her youngest son inherited the title

1054
00:56:33,600 --> 00:56:36,920
Speaker 2: and stayed on the estate and was really not into

1055
00:56:36,960 --> 00:56:42,840
Speaker 2: his parents, but was into his grandma like Lady Byron,

1056
00:56:43,160 --> 00:56:47,160
Speaker 2: and wrote books talking about his grandfather. Lord Byron Babbage

1057
00:56:47,239 --> 00:56:49,840
Speaker 2: lived for another eighteen years, never quite making progress on

1058
00:56:49,840 --> 00:56:52,319
Speaker 2: his analytical machine, just writing a bunch of different shit.

1059
00:56:53,080 --> 00:56:56,160
Speaker 2: He went to war against the street musicians, cranky old Man,

1060
00:56:58,000 --> 00:57:00,160
Speaker 2: and the Pair were largely forgotten for a long time,

1061
00:57:00,400 --> 00:57:04,319
Speaker 2: but eventually there are mechanical computers, then electro mechanical, then electronic.

1062
00:57:05,440 --> 00:57:10,239
Speaker 2: In nineteen forties people started programming. Alan Turing rediscovered the

1063
00:57:10,320 --> 00:57:14,680
Speaker 2: Pair through Ada and her translation and notes, and heavily

1064
00:57:14,760 --> 00:57:18,120
Speaker 2: influenced him, specifically as he was developing the idea of

1065
00:57:18,120 --> 00:57:21,080
Speaker 2: a universal computer instead of the task specific computers that

1066
00:57:21,080 --> 00:57:25,600
Speaker 2: were being developed already. So in the end I would

1067
00:57:25,600 --> 00:57:28,800
Speaker 2: say yes, they influenced modern computing incredibly and directly, even

1068
00:57:28,800 --> 00:57:32,680
Speaker 2: though there's this like skip where they weren't for a minute,

1069
00:57:32,720 --> 00:57:36,200
Speaker 2: you know. And the part that makes me sad. A

1070
00:57:36,240 --> 00:57:37,440
Speaker 2: lot of things make me sad, A lot of things

1071
00:57:37,520 --> 00:57:39,040
Speaker 2: make me very happy. Thing it makes me sad is

1072
00:57:39,080 --> 00:57:41,919
Speaker 2: thinking about how it's probably good that the British didn't

1073
00:57:41,920 --> 00:57:45,520
Speaker 2: develop the computer during the peak of their empire. I

1074
00:57:45,560 --> 00:57:48,640
Speaker 2: want to be happy about cool machines when you add

1075
00:57:49,360 --> 00:57:52,760
Speaker 2: the willingness to treat people as numbers to one of

1076
00:57:52,800 --> 00:57:56,400
Speaker 2: the largest and worst empires the world has ever suffered under.

1077
00:57:57,840 --> 00:58:02,640
Speaker 2: Alan Turing's Lady Lovelace objection is quote an AI can't

1078
00:58:02,640 --> 00:58:07,720
Speaker 2: originate anything. That's the simplification of that. I think about

1079
00:58:07,760 --> 00:58:12,280
Speaker 2: that constantly now, which you're like, and what's cool about

1080
00:58:12,280 --> 00:58:14,680
Speaker 2: that is it's like it's not even a therefore, don't

1081
00:58:14,680 --> 00:58:17,000
Speaker 2: do it, right, you know.

1082
00:58:17,760 --> 00:58:20,880
Speaker 3: I think, yeah, I completely agree, and it's like it's

1083
00:58:20,880 --> 00:58:22,920
Speaker 3: not a therefore, don't do it, but it's it's an

1084
00:58:23,000 --> 00:58:25,680
Speaker 3: understand this at a fundamental level as you use it.

1085
00:58:26,040 --> 00:58:28,080
Speaker 2: And I think that's what sort of gets mixed up.

1086
00:58:28,120 --> 00:58:30,919
Speaker 3: It's so easy for people to think about AI as

1087
00:58:30,960 --> 00:58:35,240
Speaker 3: like hyper aware computer brains that are learning things, and

1088
00:58:35,800 --> 00:58:40,120
Speaker 3: it is just spitting back out at us things that

1089
00:58:40,160 --> 00:58:42,600
Speaker 3: we do and know and the biases that we have,

1090
00:58:42,720 --> 00:58:44,680
Speaker 3: and so yeah, just understand it that way.

1091
00:58:45,480 --> 00:58:48,840
Speaker 2: Yeah, yeah, it's the same as I mean, the analytical

1092
00:58:48,840 --> 00:58:51,840
Speaker 2: machine I'm sure seemed like magic, you know. And so

1093
00:58:51,960 --> 00:58:55,080
Speaker 2: Lovelace was sitting there being like it's not magic. It's

1094
00:58:55,120 --> 00:58:58,240
Speaker 2: a machine, and it's I think she'd be doing the

1095
00:58:58,280 --> 00:59:00,400
Speaker 2: exact same thing right now if she was alive, you know,

1096
00:59:01,040 --> 00:59:03,640
Speaker 2: I think she'd probably be pushing AI and being like,

1097
00:59:04,000 --> 00:59:08,160
Speaker 2: it doesn't create things, and it's annoying because AI, to

1098
00:59:08,200 --> 00:59:10,760
Speaker 2: me is like a perfect example of this. Like the

1099
00:59:10,840 --> 00:59:13,560
Speaker 2: reason it seems bad is there's a lot of reasons,

1100
00:59:13,560 --> 00:59:15,920
Speaker 2: but it's because of the economic system we live in,

1101
00:59:16,000 --> 00:59:19,040
Speaker 2: because of the systems of control that we live under,

1102
00:59:19,280 --> 00:59:23,360
Speaker 2: you know, I don't know. In the nineteen eighties, the

1103
00:59:23,440 --> 00:59:26,800
Speaker 2: US Department of Defense named its programming language Ada. Apparently

1104
00:59:26,880 --> 00:59:30,320
Speaker 2: it's still sometimes used, but apparently wasn't a particularly successful

1105
00:59:30,360 --> 00:59:33,400
Speaker 2: programming language. I mean, that's this stuff gets beyond me.

1106
00:59:33,440 --> 00:59:35,720
Speaker 2: I don't know as much about all of this. In

1107
00:59:35,760 --> 00:59:38,280
Speaker 2: two thousand and two, people built a difference engine based

1108
00:59:38,320 --> 00:59:41,280
Speaker 2: on Babbage's notes, and only a single correction was necessary

1109
00:59:41,280 --> 00:59:44,320
Speaker 2: to make it work. No one has yet built his

1110
00:59:44,400 --> 00:59:48,360
Speaker 2: analytical engine, so no one knows if it works. And

1111
00:59:48,400 --> 00:59:54,240
Speaker 2: that's Ada Lovelace, child of Vampire who invented programming.

1112
00:59:55,480 --> 00:59:57,680
Speaker 3: Yeah, if you would have told me that when we

1113
00:59:57,720 --> 01:00:00,200
Speaker 3: started this conversation, you were going to start with VAMPI

1114
01:00:01,000 --> 01:00:03,560
Speaker 3: and effectively loop back around to computers.

1115
01:00:03,960 --> 01:00:06,560
Speaker 2: I wouldn't have believed you, but kill Joy, you've done

1116
01:00:06,600 --> 01:00:11,800
Speaker 2: it again. Hell yeah, I spend so much money on

1117
01:00:11,880 --> 01:00:14,360
Speaker 2: red yarn. Yeah.

1118
01:00:14,400 --> 01:00:18,200
Speaker 3: Your your house supposed to be like connections between things

1119
01:00:18,200 --> 01:00:20,360
Speaker 3: that seem someone's gonna come into your house one day

1120
01:00:20,360 --> 01:00:20,840
Speaker 3: and be like.

1121
01:00:20,880 --> 01:00:24,960
Speaker 2: Is she Oka? Like what's going on with Margaret? It

1122
01:00:25,000 --> 01:00:27,080
Speaker 2: happens already, but that's mostly because of my decor. A

1123
01:00:27,080 --> 01:00:28,320
Speaker 2: lot of it is very medieval?

1124
01:00:29,520 --> 01:00:33,200
Speaker 1: Aren't you so glad? I really your statement about I'm

1125
01:00:33,200 --> 01:00:37,000
Speaker 1: really glad this wasn't created during this time. I think

1126
01:00:37,040 --> 01:00:39,600
Speaker 1: about that so often. I'm like, what if like a

1127
01:00:39,640 --> 01:00:43,560
Speaker 1: motherfucker like Oswald Mosley had like an algorithm computer?

1128
01:00:43,880 --> 01:00:51,560
Speaker 2: Like ah yeah, like it's such a it makes me

1129
01:00:51,640 --> 01:00:55,000
Speaker 2: so sad. I want us to just It's like Elon

1130
01:00:55,120 --> 01:00:59,800
Speaker 2: Musk makes Mars seem not cool? How hard do you

1131
01:00:59,800 --> 01:01:03,360
Speaker 2: have to work to make Mars seem not cool? Space

1132
01:01:03,480 --> 01:01:07,400
Speaker 2: is cool, and the reason it's sketchy is because of

1133
01:01:07,440 --> 01:01:10,960
Speaker 2: governments and stuff. But now it's even sketchier because no

1134
01:01:11,600 --> 01:01:14,560
Speaker 2: people who are terrible want to go. And how do

1135
01:01:14,600 --> 01:01:15,120
Speaker 2: you make.

1136
01:01:15,000 --> 01:01:19,280
Speaker 1: Outer space seem Lamelan.

1137
01:01:19,080 --> 01:01:23,120
Speaker 2: Musk involved, that's all you gotta do invented a cyberpunk

1138
01:01:23,160 --> 01:01:25,360
Speaker 2: looking truck and made it the worst thing that's ever

1139
01:01:25,440 --> 01:01:27,760
Speaker 2: happened to a car. Have you'll ever seen one in

1140
01:01:27,800 --> 01:01:33,280
Speaker 2: the wild? Yes, dude, I did. I saw one. I did.

1141
01:01:34,200 --> 01:01:36,400
Speaker 2: I think the first time one comes into West Virginia

1142
01:01:37,040 --> 01:01:39,000
Speaker 2: all the rest of us in regular pickups are going

1143
01:01:39,040 --> 01:01:39,760
Speaker 2: to run it off.

1144
01:01:39,640 --> 01:01:42,400
Speaker 3: The road will descend on it.

1145
01:01:42,840 --> 01:01:45,760
Speaker 2: Yeah. I saw one like two weeks ago. Be I did.

1146
01:01:45,960 --> 01:01:48,840
Speaker 2: I did? It was? What were your thoughts?

1147
01:01:49,240 --> 01:01:52,080
Speaker 1: I was like, I was like, ah, I'm programmed to

1148
01:01:52,120 --> 01:01:56,080
Speaker 1: hate this, Like, why is it shaped that way?

1149
01:01:56,640 --> 01:01:59,840
Speaker 2: What is happening? I grew up, I grew up on

1150
01:02:00,080 --> 01:02:03,320
Speaker 2: I were punk and like, so the only time I

1151
01:02:03,360 --> 01:02:06,320
Speaker 2: saw one that looked right was someone had graffitied one,

1152
01:02:07,720 --> 01:02:11,920
Speaker 2: okay on. I was like, oh, now it looks like

1153
01:02:12,240 --> 01:02:18,080
Speaker 2: it belongs in the cyberpunk dystopia. I was promised. But yeah,

1154
01:02:18,240 --> 01:02:20,640
Speaker 2: instead it's like can't drive through a mud puddle. Yeah.

1155
01:02:20,680 --> 01:02:22,600
Speaker 3: The only time I see them, it's not doing something

1156
01:02:22,640 --> 01:02:23,720
Speaker 3: cool and cyberpunky.

1157
01:02:23,800 --> 01:02:27,320
Speaker 2: It's like valeting, yeah, or like getting.

1158
01:02:27,080 --> 01:02:30,200
Speaker 3: Rusted because it rained something something decidedly not cool.

1159
01:02:30,680 --> 01:02:36,920
Speaker 2: Yeah. Wow. If people want to know more about the

1160
01:02:36,960 --> 01:02:40,000
Speaker 2: culture of the Internet and the ways in which it

1161
01:02:40,080 --> 01:02:43,360
Speaker 2: has both interesting and bad things. Is there anywhere that

1162
01:02:43,400 --> 01:02:44,520
Speaker 2: they can do that?

1163
01:02:45,040 --> 01:02:47,480
Speaker 3: Well, I would turn them to my podcast. There are

1164
01:02:47,520 --> 01:02:51,320
Speaker 3: no girls on the Internet. Also, great transition, Margaret, thank.

1165
01:02:51,120 --> 01:02:55,760
Speaker 2: You, thank you, snaps for Magpie. It's my job's security

1166
01:02:55,520 --> 01:02:59,160
Speaker 2: staying on top of this. Yeah, people should check that out.

1167
01:02:59,240 --> 01:03:02,080
Speaker 2: And if you want to check out more of my stuff,

1168
01:03:02,120 --> 01:03:04,600
Speaker 2: I write a substack I post every week. Half of

1169
01:03:04,640 --> 01:03:07,520
Speaker 2: the posts are free to everyone and are like more

1170
01:03:07,640 --> 01:03:10,680
Speaker 2: political and theoretical or historical or whatever and like on

1171
01:03:10,760 --> 01:03:13,320
Speaker 2: these kinds of subjects. The other half are more personal.

1172
01:03:13,440 --> 01:03:15,960
Speaker 2: And if you want to know more about my personal life,

1173
01:03:15,960 --> 01:03:17,960
Speaker 2: you have to pay me. And I feel fine about that,

1174
01:03:18,800 --> 01:03:21,920
Speaker 2: and that's what I have to plug. Sophie, you got

1175
01:03:21,920 --> 01:03:25,480
Speaker 2: anything tak Any new podcasts from cool Zone Media people

1176
01:03:25,480 --> 01:03:26,040
Speaker 2: could check out?

1177
01:03:26,720 --> 01:03:29,200
Speaker 1: Yeah, if you want one that's already out, check out

1178
01:03:29,560 --> 01:03:33,440
Speaker 1: Exitron's podcast Better Offline. It is a weekly tech podcast

1179
01:03:33,520 --> 01:03:37,200
Speaker 1: part of the cool Zone Media network and launching in May.

1180
01:03:37,760 --> 01:03:41,120
Speaker 1: We have a new weekly show called sixteenth Minute of

1181
01:03:41,240 --> 01:03:44,520
Speaker 1: Fame hosted by Jamie Loftus, So look out for that

1182
01:03:44,640 --> 01:03:45,480
Speaker 1: one in early May.

1183
01:03:46,480 --> 01:03:50,320
Speaker 2: All right, well, go forth and listen to podcasts, and

1184
01:03:50,320 --> 01:03:53,720
Speaker 2: then listen to this one next Monday because we'll be back. Bye,

1185
01:03:53,840 --> 01:03:58,560
Speaker 2: Hi everyone.

1186
01:03:59,520 --> 01:04:02,000
Speaker 1: Cool Poll Who Did Cool Stuff is a production of

1187
01:04:02,040 --> 01:04:05,160
Speaker 1: cool Zone Media. For more podcasts on cool zone Media,

1188
01:04:05,320 --> 01:04:08,560
Speaker 1: visit our website coolzonmedia dot com, or check us out

1189
01:04:08,680 --> 01:04:12,040
Speaker 1: on the iHeartRadio app, Apple Podcasts, or wherever you get

1190
01:04:12,080 --> 01:04:12,880
Speaker 1: your podcasts.