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<v Speaker 1>Hello everyone, and welcome to Talk Nerdy. Today is Monday,

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<v Speaker 1>August third, twenty twenty six, and I'm the host of

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<v Speaker 1>the show Doctor Kara Santa Maria. And this is the

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<v Speaker 1>last of three episode intros that I am pre recording

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<v Speaker 1>before I leave for a trip to Australia and New

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<v Speaker 1>Zealand with the other podcast that I work on, The

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<v Speaker 1>Skeptics Guide to the Universe. I should be getting back today.

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<v Speaker 1>Time travel is weird like that, isn't it. So next

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<v Speaker 1>week I will make sure to thank any patrons that

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<v Speaker 1>I missed in the meantime.

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<v Speaker 2>And now I say we just dive into it. This

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<v Speaker 2>is a fascinating episode. I had the opportunity to chat

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<v Speaker 2>with doctor Rupica Rissom. She is a professor of Digital

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<v Speaker 2>Humanities and Social Engage at Dartmouth, where her research explores

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<v Speaker 2>how histories of race, empire, and technology shape the modern world.

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<v Speaker 2>She's written several books, including New Digital Worlds, and was

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<v Speaker 2>a co editor of Anti Racist Community Engagement and The

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<v Speaker 2>Digital Black Atlantic. She's also the past president of the

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<v Speaker 2>Association for Computers and the Humanities. But today we're going

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<v Speaker 2>to be talking about her newest book. It's called Data Empire.

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<v Speaker 2>The power of information to organize, control and dominate. So,

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<v Speaker 2>without any further ado, here she is doctor Rupica. Rissom Well, Rupica,

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<v Speaker 2>thank you so much for joining me today.

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<v Speaker 3>Thank you so much. Care I'm excited to be here.

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<v Speaker 2>I'm so pumped to talk about not just your new book,

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<v Speaker 2>but also all of the work that you do and

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<v Speaker 2>how it feeds into this that you have to tell,

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<v Speaker 2>which I think is it's one of those interesting ideas

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<v Speaker 2>that is unique in that we don't often, I guess,

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<v Speaker 2>think about history and power structures having to do with data,

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<v Speaker 2>especially historically. I think more and more people are being

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<v Speaker 2>attuned to that now. But so it's like a unique

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<v Speaker 2>way of telling this important insight but also incredibly ubiquitous

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<v Speaker 2>and probably everybody goes duh once you start to talk

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<v Speaker 2>about it, right.

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<v Speaker 3>Absolutely, I feel like that's sort of the story of

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<v Speaker 3>my life, which is I'm saying things that I feel

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<v Speaker 3>like are very very obvious, and yeah, in conversation they're not,

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<v Speaker 3>but once we start talking about it, all of a sudden,

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<v Speaker 3>those dots get connected.

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<v Speaker 4>Absolutely.

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<v Speaker 2>So before we even get into the book, let's dig

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<v Speaker 2>into sort of your academic positioning, because it's a very

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<v Speaker 2>interesting multidisciplinary position. I guess, Wow, that wasn't redundant at all.

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<v Speaker 2>So you are an associate professor of Digital Humanities and

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<v Speaker 2>Social Engagement at Dartmouth. What department or are you like

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<v Speaker 2>matrix between departments.

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<v Speaker 3>I'm actually a full professor now as ten days ago.

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<v Speaker 4>Stop it, I love it. Okay, I'm gonna update that

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<v Speaker 4>for the intro. And I'm so congratulation.

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<v Speaker 3>Thank you. I'm very excited. It's been a long time.

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<v Speaker 3>And yes, I am this professor of this thing called

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<v Speaker 3>Digital Humanities and Social Engagement. But I'm situated in two departments,

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<v Speaker 3>the Film and Media Studies department and the Compared Literature Department.

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<v Speaker 4>Ah interesting, Okay, I.

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<v Speaker 3>Can make this way more complicated by explaining that I

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<v Speaker 3>have a PhD in English, and I started out my

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<v Speaker 3>career at Salem State University of Public University in Massachusetts,

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<v Speaker 3>where I was in an English and a higher education

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<v Speaker 3>and so I just go, I go with They'll take

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<v Speaker 3>me really anywhere that wants to let me do my work.

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<v Speaker 4>I love it.

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<v Speaker 2>You know where I did my PhD Media Studies was

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<v Speaker 2>in the psychology department.

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<v Speaker 4>Oh nice, yeah, yeah.

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<v Speaker 2>So it's I think a lot of these uh, these

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<v Speaker 2>kind of boundaries are quite wiggily right.

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<v Speaker 4>This is definitely a I don't know.

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<v Speaker 2>I've had whole episodes that we dedicated to the problem

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<v Speaker 2>non problem of human beings really needing to categorize things

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<v Speaker 2>and put labels on things.

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<v Speaker 3>Very fitting considering the topic of my book.

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<v Speaker 4>So this is so interesting.

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<v Speaker 2>So you've studied English, You're you're working in these two

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<v Speaker 2>different departments that really have a lot of kind of

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<v Speaker 2>culture and societal influence. You know, we're talking about historical

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<v Speaker 2>but also contemporary ways that individuals I guess, uh, not

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<v Speaker 2>even and just individuals, but whole systems exist within within

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<v Speaker 2>culture and how that shifts and changes. So that has

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<v Speaker 2>everything to do with race and gender and class and

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<v Speaker 2>kind of country of origin, and also capitalism and socialism

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<v Speaker 2>and different kind of financial structures and different governmental structures.

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<v Speaker 2>Like how do you even know where to focus your attention?

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<v Speaker 3>My interests have always been on the impact of colonialism

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<v Speaker 3>on culture and on history, and it started with literature

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<v Speaker 3>because when I was in college and read postcolonial literature,

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<v Speaker 3>so literature from countries like India or Jamaica, for the

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<v Speaker 3>first time, I felt like the writers put language to

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<v Speaker 3>experiences that I had had that I did not want

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<v Speaker 3>to talk about being an immigrant to the US myself

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<v Speaker 3>as a young child and coming from a family who's

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<v Speaker 3>originally from Kishmir. And so I was really interested because

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<v Speaker 3>I thought, Okay, there's a language for talking about why

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<v Speaker 3>it feels like some countries have more power over each

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<v Speaker 3>other and how did I even get here? And so

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<v Speaker 3>the point of entry for me was literature, but very

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<v Speaker 3>very quickly I started becoming interested in history. I started

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<v Speaker 3>becoming interested in digital culture and how we have these

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<v Speaker 3>incredible tools for content creation available to us, whether it's

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<v Speaker 3>to do it as individuals who want to tell our

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<v Speaker 3>own stories or as academics who want to tell stories

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<v Speaker 3>that haven't been told that come out of their research.

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<v Speaker 3>And yet I always felt like, why aren't people actually

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<v Speaker 3>using these tools to do that important thing? And that's

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<v Speaker 3>why I got interested in the field of digital humanities.

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<v Speaker 3>And it was at a moment in time in the

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<v Speaker 3>late twenty tens where rather it was in the early

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<v Speaker 3>twenty tens where the field was sort of starting to

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<v Speaker 3>be a thing, and I thought, Okay, here's actually my

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<v Speaker 3>moment to say, we have these powerful tools, let's actually

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<v Speaker 3>use them to not just tell everybody who Shakespeare.

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<v Speaker 2>Is right, such an such an interesting origin story. Do

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<v Speaker 2>you have family still in Kashmir?

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<v Speaker 3>Oh?

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<v Speaker 2>Yeah, of course, So when you do you consider you know,

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<v Speaker 2>I've I've had a lot of folks on the show

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<v Speaker 2>when we talk about you know, intersectionality and identity and

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<v Speaker 2>the I guess, the struggles and the difficulties, but also

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<v Speaker 2>the beauty in you know, being bicultural or multi cultural.

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<v Speaker 2>Do you consider yourself like a firmly bicultural individual at.

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<v Speaker 3>The very least. So I was born in Wales.

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<v Speaker 4>Oh, interesting, okay.

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<v Speaker 3>And because my parents left Kashmir in the early seventies

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<v Speaker 3>and they went to the UK, and they lived in London,

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<v Speaker 3>outside of London, and eventually in Wales, where I was born.

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<v Speaker 3>And then they decided after about four or five years

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<v Speaker 3>there that they wanted something different from their lives, and

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<v Speaker 3>we had some family in the US, and so we

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<v Speaker 3>came here. And so I very much feel KASHMIRI I

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<v Speaker 3>very much feel British, and I also feel American, and

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<v Speaker 3>so it's very it's very strange. But you know, you

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<v Speaker 3>can take the best parts of all of it and

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<v Speaker 3>try to ignore the rest.

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<v Speaker 2>Yeah, yeah, better advice, I have not heard. It's something

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<v Speaker 2>we often talk about in so I work as a

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<v Speaker 2>psychologist in a cancer center, and very often when we're

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<v Speaker 2>talking about I don't know, mortality and religion and politics

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<v Speaker 2>and all of these deeply existential things that people are

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<v Speaker 2>grappling with today. That seems to be the consensus amongst

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<v Speaker 2>the professionals and the patients, like is sort of take

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<v Speaker 2>what serves you, take what you find joy in, and

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<v Speaker 2>just leave the rest behind.

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<v Speaker 3>It's really all we can do, especially when you consider

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<v Speaker 3>so many of the pressures that we're dealing with right now,

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<v Speaker 3>from particularly in the US, from a political system that

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<v Speaker 3>feels very.

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<v Speaker 2>Much in turmoil, to put it lightly, agree wholeheartedly. So

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<v Speaker 2>it's so interesting this kind of very intersectional approach that

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<v Speaker 2>you take to understanding you know, our contemporary I guess

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<v Speaker 2>placement or situation context milieu against the historical background, especially

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<v Speaker 2>with an eye towards colonialism, which of course encompasses all

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<v Speaker 2>of those different features of misogyny and supremacy and racism

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<v Speaker 2>and just power and othering and and yet this story

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<v Speaker 2>not and yet but and also this story specifically is

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<v Speaker 2>about like information, it's about data. So when we think

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<v Speaker 2>about data, I think we often think about the Internet,

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<v Speaker 2>or computers or modern tools that are used to store data,

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<v Speaker 2>or even like DNA. But I think a lot of

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<v Speaker 2>us forget that data really is just what recorded information.

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<v Speaker 2>It's it's a it's a meta concept of seeing or

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<v Speaker 2>organizing information and figuring out a way to transmit it.

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<v Speaker 2>It doesn't it could have been quite crude in the past.

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<v Speaker 3>Right, absolutely. And the way I think of it is

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<v Speaker 3>that most things really just aren't that new, and even

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<v Speaker 3>if they are, we got them somehow. And my interest

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<v Speaker 3>has always been how far back can we trace idea

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<v Speaker 3>a concept that is being positioned as being new or

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<v Speaker 3>disruptive or unprecedented, which is my least favorite.

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<v Speaker 4>Word, disruptive. Yeah, President good.

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<v Speaker 3>So if we look as far back as we can

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<v Speaker 3>based on what archaeologists have found so far, we get

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<v Speaker 3>back forty three thousand years ago to the mountains at

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<v Speaker 3>the border of Uswatini Mozambique in South Africa, the La

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<v Speaker 3>Mambo Mountains, where archaeologists have found a baboon femur with

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<v Speaker 3>these notches on it, and they've determined that they're not

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<v Speaker 3>decorative and they're not accidental, and so someone was intentionally

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<v Speaker 3>carving these little markers and they were tracking something, and

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<v Speaker 3>it's so powerful just to think forty three thousand years

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<v Speaker 3>ago someone thought, you know, I need to remember something

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<v Speaker 3>i'm seeing or a phenomenon I'm observing, and there I'm

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<v Speaker 3>going to carve these little notches into this bone to

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<v Speaker 3>do that. And what else are we doing now, really

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<v Speaker 3>other than carving notches and bones? Only now we have computers.

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<v Speaker 2>Absolutely, even this concept of counting before we may have

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<v Speaker 2>even developed a system for I've always been fascinated by

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<v Speaker 2>the idea that mathematics is not really a language. We

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<v Speaker 2>can talk about it like it's a language of organization,

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<v Speaker 2>but very very simple. Mathematics is in some ways baked

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<v Speaker 2>into the fabric of reality. And I think about that

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<v Speaker 2>a lot when I think about our relationship to science,

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<v Speaker 2>our relationship to the humanities, that a lot of what

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<v Speaker 2>we do is just to try to use language or

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<v Speaker 2>use tools to conceptualize things that we're just observing anyway.

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<v Speaker 3>Absolutely, and that's where I start the story of data,

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<v Speaker 3>which is that it's simply about creating a physical representation

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<v Speaker 3>or a material representation of something that we think is important.

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<v Speaker 3>And that, for me is actually why I get very

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<v Speaker 3>frustrated when people try to claim that data is neutral

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<v Speaker 3>and objective, because even from that moment forty three thousand

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<v Speaker 3>years ago, there was an intention there. There is a decision,

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<v Speaker 3>a decision to count and to track, and that's still happening.

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<v Speaker 4>I just don't I've never understood the argument.

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<v Speaker 2>I see it all the time working in the sciences

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<v Speaker 2>and kind of working within this subculture of scientific skepticism,

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<v Speaker 2>where I notice a lot of, like you said, claims

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<v Speaker 2>that either scientific approaches or data can somehow be neutral

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<v Speaker 2>or unbiased or you know, kind of like perfectly representative of.

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<v Speaker 4>Existence that is out there.

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<v Speaker 2>And it's like, I feel like just saying it's done

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<v Speaker 2>by people should be enough, Right, Like people have minds

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<v Speaker 2>and they make decisions about what they want to count

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<v Speaker 2>and what they don't want to count, and they make

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<v Speaker 2>decisions about why things are important and other things are

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<v Speaker 2>less important. And you can't tease any bias, I mean,

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<v Speaker 2>you can't not see bias inside of that. It doesn't

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<v Speaker 2>necessarily mean it's bad or wrong, or there has to

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<v Speaker 2>be a value judgment on it, although oftentimes there is one.

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<v Speaker 2>But you can't you can't be quote pure in your

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<v Speaker 2>approach if you're a person because by definition of being

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<v Speaker 2>a person, you have a perspective.

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<v Speaker 3>It's true, and I blame I blame the late seventeenth

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<v Speaker 3>century scientists for this, and then in the eighteenth century

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<v Speaker 3>scientists as well, because that's when we first see that

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<v Speaker 3>word data showing up in the English language, and it

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<v Speaker 3>starts in math, and it's used synonymously with the givens

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<v Speaker 3>of a proof. We're doing geometrical proofs and we're saying, given,

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<v Speaker 3>here's the fact, and that word eventually becomes used by

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<v Speaker 3>people in royal societies for natural science as a way

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<v Speaker 3>of talking about observed phenomena like a barometric measuring or

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<v Speaker 3>where a star is in the sky, that they can

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<v Speaker 3>write down and it's been plucked out of its natural

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<v Speaker 3>context and put down on a piece of paper, and

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<v Speaker 3>that it can be compared with other measurements, or it

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<v Speaker 3>could be analyzed or calculated and then generalized now with

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<v Speaker 3>the natural world, assuming that everyone has a shared vocabulary

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<v Speaker 3>of how you're analyzing it, which isn't necessarily the case,

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<v Speaker 3>depending on one's culture and the cultural context in which

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<v Speaker 3>one's doing science. Other than that case, you know, so

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<v Speaker 3>to the idea that you can just take something, write

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<v Speaker 3>it down, compare it with something else and then make

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<v Speaker 3>a generalized theory based on it is hiding a whole

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<v Speaker 3>lot of human hands, Yeah, playing a role in.

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<v Speaker 2>It, absolutely, and who are those human hands? And I

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<v Speaker 2>think that's one of those. I mean, it's such a

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<v Speaker 2>it's such a fascinating thing to start to try to

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<v Speaker 2>really tease a part when you look when you try

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<v Speaker 2>to empathize with the oppressor, for example, you try to

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<v Speaker 2>empathize with the colonist, or even just with the individuals

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<v Speaker 2>who were in power. Due to all of the different

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<v Speaker 2>factors and features, you know, the cultural historical milieu, there

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<v Speaker 2>is a privilege you know, we I don't use that

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<v Speaker 2>word lightly, but there is a privilege that comes along

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<v Speaker 2>with experiencing the world that you experience and being told

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<v Speaker 2>from the time you're born that your view is somehow

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<v Speaker 2>more important, more dominant, more clean, more reflective of reality

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<v Speaker 2>that you probably just never questioned it that there were

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<v Speaker 2>probably a lot of these, you know, seventeenth and eighteenth

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<v Speaker 2>century thinkers that you were talking about, especially scientists, maybe

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<v Speaker 2>less so the earlier philosophers, but also no, I shouldn't

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<v Speaker 2>say that. Definitely the philosophers as well, but that just

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<v Speaker 2>kind of we're like, well, I was endowed with this smarty,

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<v Speaker 2>smart brain. Therefore what I'm saying is probably the most real.

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<v Speaker 3>I wouldn't know. They never had that problem.

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<v Speaker 4>Me neither.

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<v Speaker 2>But you know, it's interesting to try to empu you know.

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<v Speaker 2>I think when we talk about colonialism from the perspective

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<v Speaker 2>of hindsight and knowledge, you know, what we know today,

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<v Speaker 2>there's always conflict between the individuals who kind of see

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<v Speaker 2>the havoc that has been reaked and the individuals. You know,

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<v Speaker 2>it's a very like right wing perspective that we see

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<v Speaker 2>often in the United States of like, well, I wasn't there,

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<v Speaker 2>it's not my fault, and we're past that, and you know,

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<v Speaker 2>it's all level playing field now, and you're like, Okay,

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<v Speaker 2>that is definitely not true. But I think when you

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<v Speaker 2>get beyond that conflict and you try to see the

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<v Speaker 2>world as it was through the eyes of those who

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<v Speaker 2>were in power and architects, I'm always curious how much

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<v Speaker 2>they knew, you know, how much insight they had.

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<v Speaker 4>I guess it's a good way to put it.

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<v Speaker 2>Into what they were actually doing, and how much they

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<v Speaker 2>thought that this was just the natural way of things existing.

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<v Speaker 3>I think they absolutely did, and we think about the

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<v Speaker 3>context of the eighteenth century, for example, in Europe, where

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<v Speaker 3>a lot of this theorization of data is happening. These

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<v Speaker 3>are the people who are in cultures that have gone

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<v Speaker 3>out around the world and conquered other people and have

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<v Speaker 3>felt that they absolutely had the right to it. So

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<v Speaker 3>I'm not sure why I would also simultaneously be expecting

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<v Speaker 3>them to have a critical eye on the production of science. Right.

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<v Speaker 2>That's such a good point, and it's fascinating to think that,

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<v Speaker 2>And that's why I'm always like very eked out.

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<v Speaker 4>I don't know if you have the same experience, but.

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<v Speaker 2>Among my peers and colleagues in circles that I respect

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<v Speaker 2>and run in because I am very, very pro science,

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<v Speaker 2>I always get incredibly eked out and kind of feel

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<v Speaker 2>a defensiveness rise when I hear rhetoric about let's say,

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<v Speaker 2>space exploration or about mineral rights or mining that feel

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<v Speaker 2>so deeply colonial with just this unapologetic well, science for

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<v Speaker 2>science sake, you know, exploring is our sort of natural proclivity,

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<v Speaker 2>and it's a good thing that we should make sure

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<v Speaker 2>that we're always promoting. Not that I think it's wrong

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<v Speaker 2>to ask open ended questions, but I'm so worried about

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<v Speaker 2>that reckless perspective, as if there is no potential downside

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<v Speaker 2>to going places we've never been and just like fucking

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<v Speaker 2>stuff up.

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<v Speaker 3>One of the things we always talk about in my

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<v Speaker 3>house is is it morally okay to colonize Mars? Yes? Exactly.

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<v Speaker 4>It's a huge argument on my other podcast.

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<v Speaker 3>Yeah, because the thing is, one could argue there are

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<v Speaker 3>no people there, but then what about the bacteria?

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<v Speaker 2>Yep, and that's what Yeah, that's always there. They're like,

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<v Speaker 2>it's not the same as colonialism because there's no people there.

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<v Speaker 2>And I'm like, yeah, but the colonists, at least the

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<v Speaker 2>early ones who were like going west because they thought

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<v Speaker 2>they might fall off the world if they didn't, they

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<v Speaker 2>didn't expect there to be people there.

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<v Speaker 3>Oh gosh, yeah, that's absolutely true, right. They thought it

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<v Speaker 3>was just the empty land.

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<v Speaker 2>Yeah, and then when people were in the way, that's

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<v Speaker 2>how they saw them. They're like, look, gotta get rid

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<v Speaker 2>of this complication that we've run into. And I'm not

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<v Speaker 2>saying if we go to Mars we're gonna find people.

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<v Speaker 2>We've been to Mars plenty of times with robots. We

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<v Speaker 2>know there's no people, but.

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<v Speaker 4>It's that perspective.

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<v Speaker 2>That's that kind of very Western person, and I'm always

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<v Speaker 2>just like, can we just listen to indigenous wisdom sometimes.

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<v Speaker 4>Maybe once in a while.

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<v Speaker 3>One of the things I was thinking about is that

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<v Speaker 3>we talk about the most cutting edge large language models,

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<v Speaker 3>we call them frontier models. Oh wow, right, it's the

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<v Speaker 3>language is so baked in right there.

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<v Speaker 2>Gosh you must it's I remember early on in my

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<v Speaker 2>sort of identity development and then later in my career

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<v Speaker 2>development and journalism. In psychology, there's that inflection point where

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<v Speaker 2>you realize like, oh, patriarchy is everywhere, right, or like

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<v Speaker 2>like white supremacy is everywhere. And you know, I had

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<v Speaker 2>a professor who would always say, yeah, it's the water

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<v Speaker 2>we swim in. It's why you don't even see it,

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<v Speaker 2>because it's all around us all the time. I can't

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<v Speaker 2>imagine that for you. Colonialism is the water use I mean,

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<v Speaker 2>you must see it kind of manifesting everywhere in language,

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<v Speaker 2>in even in math.

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<v Speaker 3>It ruins everything I really want to enjoy project call Mary.

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<v Speaker 3>Oh no, I really did. No. Actually I thought it

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<v Speaker 3>was great, but I definitely at that moment of oh no,

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<v Speaker 3>here we go again. Yeah, I still.

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<v Speaker 2>A friend just told me I need to see it

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<v Speaker 2>because I loved the Martian right, and I loved Andy Weir,

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<v Speaker 2>and I loved the approach.

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<v Speaker 4>But yeah, I was like, I have.

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<v Speaker 2>A feeling I'm gonna have the same experience.

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<v Speaker 3>It's really it's wonderful, though, don't please go see it,

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<v Speaker 3>please sell.

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<v Speaker 4>I think that's the thing too.

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<v Speaker 2>We still have to live in the world we live in, right,

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<v Speaker 2>And I think a lot of times there's a black

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<v Speaker 2>and white way of thinking, and I can't imagine and

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<v Speaker 2>tell me if this has been your experience as an

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<v Speaker 2>academic who raises a lot of these uncomfortable conversations and truths.

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<v Speaker 2>I imagine that you get trolls and haters and pushback

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<v Speaker 2>from people who are very black and white in their thinking,

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<v Speaker 2>who are kind of like, don't rain on our parade.

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<v Speaker 2>Don't tell me all this bad stuff. Because I still

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<v Speaker 2>want to be able to engage in the world that

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<v Speaker 2>I engage in, and I still want you know, progress

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<v Speaker 2>and capitalism and all the things that make my life easier.

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<v Speaker 2>But like it's complicated, it's ambivalent. Both these things can

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<v Speaker 2>be true at the same time, right.

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<v Speaker 3>Absolutely, I am the ruiner of fun in many cases,

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<v Speaker 3>but at the same time, this is the world that

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<v Speaker 3>we live in, and the world that we live in

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<v Speaker 3>is complicated, and I think one of my frustrations, whether

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<v Speaker 3>it's coming from people who want to say racism doesn't

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<v Speaker 3>exist or people who want to say I have developed

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<v Speaker 3>this leftist ideological purity test that you must adhere to

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<v Speaker 3>if you want to be respected, neither of those are

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<v Speaker 3>really able to address the complexity of lived reality. And

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<v Speaker 3>I don't say this to say I am all here

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<v Speaker 3>to be a relativist about it. I think absolutely if

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<v Speaker 3>you think that racism is not a problem, then we

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<v Speaker 3>don't actually have very much to talk about it, right,

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<v Speaker 3>because that is going to then influence this entire conversation.

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<v Speaker 3>And I cannot take you very seriously unless you want

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<v Speaker 3>to have a conversation about why you might be wrong, in

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<v Speaker 3>which case right.

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<v Speaker 2>But yeah, it's almost an a priori assumption that if

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<v Speaker 2>that is the you know, sacred cow you hold on to,

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<v Speaker 2>every conversation beyond that is in some ways moot or

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<v Speaker 2>at least it's deeply biased, and you're probably not going

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<v Speaker 2>to get anywhere. It's like it's like talking to a

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<v Speaker 2>flat earth or about physics or geometry, Like there's just

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<v Speaker 2>a certain point where it's like, there's no point of

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<v Speaker 2>having this conversation.

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<v Speaker 3>It's absolutely true. You know. I just worry so much

396
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<v Speaker 3>though when I look at so just happening right now

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<v Speaker 3>in the US, and I think about what's happening with

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<v Speaker 3>NIH or you know, what's happened where they're going after

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<v Speaker 3>the Smithsonian now, and just thinking about how on the

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<v Speaker 3>one hand, sometimes I want to really dig in and

401
00:25:21.559 --> 00:25:27.720
<v Speaker 3>I want to say, you know, we absolutely cannot have

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<v Speaker 3>this conversation. And then on the other hand, you know,

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<v Speaker 3>how do we otherwise try and convince people that they're

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<v Speaker 3>about to make really, really big mistakes that are going

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<v Speaker 3>to have material harm on people and their lives.

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<v Speaker 2>Yeah, it's it's such a difficult place to be when

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<v Speaker 2>individual reality.

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<v Speaker 4>Is as polarized as it is.

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<v Speaker 2>And yet I have to always stop and say to myself, like,

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<v Speaker 2>this isn't new, is it? Like it feels new to

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<v Speaker 2>us in America, but this concept globally is not new.

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<v Speaker 2>People have been way more polarized, And yeah, I shouldn't

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<v Speaker 2>say they got out without any suffering. There's been mass

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<v Speaker 2>and horrific suffering because of it. But individuals have always persisted,

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<v Speaker 2>and even forty five thousand years ago with the baboon bone,

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00:26:26.039 --> 00:26:30.599
<v Speaker 2>there was probably a lot of polarization amongst small, you know,

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<v Speaker 2>hunter gatherer tribes.

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<v Speaker 3>I'm sure there was, And I think back to really

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<v Speaker 3>going to the moment where we start seeing humans settling

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<v Speaker 3>down into more permanent living situations instead of nomadic life,

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<v Speaker 3>and particularly in ancient Mesopotamia, as more and more people

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00:26:57.559 --> 00:27:00.960
<v Speaker 3>came to settle down because pretty good place to live,

423
00:27:01.839 --> 00:27:05.400
<v Speaker 3>they how to start figuring out how do you actually

424
00:27:05.400 --> 00:27:09.880
<v Speaker 3>deal with people who you're not related to and they're

425
00:27:09.880 --> 00:27:12.319
<v Speaker 3>here and you all have to live together. And so

426
00:27:12.400 --> 00:27:14.960
<v Speaker 3>one of the innovations in data is actually the development

427
00:27:15.000 --> 00:27:18.200
<v Speaker 3>of tokens, which are simply just little counters made out

428
00:27:18.200 --> 00:27:22.559
<v Speaker 3>of clay that people used to mark an obligation or

429
00:27:22.599 --> 00:27:26.839
<v Speaker 3>a debt and to navigate that challenge of what happens

430
00:27:26.839 --> 00:27:31.319
<v Speaker 3>when suddenly you can't inherently trust the people that you

431
00:27:31.519 --> 00:27:34.400
<v Speaker 3>are living with because you are so different.

432
00:27:36.559 --> 00:27:40.200
<v Speaker 2>So it's almost like it's funny because everything we talk

433
00:27:40.240 --> 00:27:43.359
<v Speaker 2>about we talk about with a hindsight bias, as if

434
00:27:43.440 --> 00:27:45.759
<v Speaker 2>everything was leading up to this point intentionally, but it

435
00:27:45.839 --> 00:27:49.960
<v Speaker 2>wasn't right. We just happened to be at a point

436
00:27:50.000 --> 00:27:53.240
<v Speaker 2>in history where we can not see the future, but

437
00:27:53.319 --> 00:27:55.119
<v Speaker 2>we can see all the past, or at least as

438
00:27:55.119 --> 00:27:57.359
<v Speaker 2>best as we can. And so you know, I say

439
00:27:57.359 --> 00:28:00.519
<v Speaker 2>this with that caveat, but it's almost like an early

440
00:28:02.279 --> 00:28:10.160
<v Speaker 2>tool for maybe money barter description, an early tool to

441
00:28:10.319 --> 00:28:16.160
<v Speaker 2>allow for the structures that eventually will come into place,

442
00:28:16.839 --> 00:28:22.240
<v Speaker 2>to talk about property rights, to talk about individuation, me

443
00:28:22.400 --> 00:28:24.759
<v Speaker 2>and my stuff versus you and your stuff.

444
00:28:26.039 --> 00:28:29.279
<v Speaker 3>Absolutely, and I think that's it always come back to

445
00:28:29.359 --> 00:28:36.079
<v Speaker 3>trying to figure out to what extent is this a

446
00:28:36.319 --> 00:28:40.720
<v Speaker 3>human thing, right, a desire to say this is mine

447
00:28:40.759 --> 00:28:43.480
<v Speaker 3>and my families, and this is yours and your families,

448
00:28:43.559 --> 00:28:49.079
<v Speaker 3>and I want that. How do I get that the

449
00:28:49.119 --> 00:28:55.519
<v Speaker 3>most basic level, though, it starts with being about survival,

450
00:28:55.920 --> 00:28:58.279
<v Speaker 3>and then what I think happens over time is that

451
00:28:59.119 --> 00:29:03.200
<v Speaker 3>what it means to serve five changes, because I think

452
00:29:03.359 --> 00:29:06.279
<v Speaker 3>I always think about one of the distinctions between what

453
00:29:06.400 --> 00:29:11.519
<v Speaker 3>it means to be, say a Republican or a Democrat,

454
00:29:11.599 --> 00:29:18.119
<v Speaker 3>or conservative or a liberal, is between I'm looking out

455
00:29:18.319 --> 00:29:27.680
<v Speaker 3>for my people, for the Republican that's my blood family,

456
00:29:28.799 --> 00:29:32.680
<v Speaker 3>and for the Democrat in some cases, in many cases,

457
00:29:32.720 --> 00:29:38.240
<v Speaker 3>it's I'm looking out for people that people are my people,

458
00:29:38.960 --> 00:29:44.079
<v Speaker 3>and this mentality between a really expansive notion of who

459
00:29:44.160 --> 00:29:47.799
<v Speaker 3>counts as the people that you're going to make a

460
00:29:47.839 --> 00:29:53.519
<v Speaker 3>political decision about representation to support. Is it all people

461
00:29:53.759 --> 00:30:00.640
<v Speaker 3>or is it your perception of your blood family? And

462
00:30:00.839 --> 00:30:03.720
<v Speaker 3>one makes very I think, one makes very different kinds

463
00:30:03.720 --> 00:30:08.319
<v Speaker 3>of decisions if you're looking at those two different scales.

464
00:30:08.440 --> 00:30:11.319
<v Speaker 3>And then I think, for example too, you know, I

465
00:30:11.359 --> 00:30:16.920
<v Speaker 3>mean I vote for Democrats, not always a huge fan,

466
00:30:17.039 --> 00:30:21.400
<v Speaker 3>but I mean better than the alternatives. And you know,

467
00:30:21.599 --> 00:30:25.680
<v Speaker 3>I make decisions that either they're either going to have

468
00:30:25.839 --> 00:30:30.720
<v Speaker 3>very little impact on my life individually or in some

469
00:30:30.759 --> 00:30:33.079
<v Speaker 3>cases are probably gonna I'm na pay more taxes, but

470
00:30:33.160 --> 00:30:39.960
<v Speaker 3>actually do not care, right, because I'm good, and I

471
00:30:40.000 --> 00:30:42.960
<v Speaker 3>know that the alternative is potentially going to be so

472
00:30:43.079 --> 00:30:48.680
<v Speaker 3>much more, so much worse for people who are more vulnerable.

473
00:30:50.359 --> 00:30:53.400
<v Speaker 2>Right, kind of an understanding or at least a hope,

474
00:30:53.480 --> 00:30:55.319
<v Speaker 2>because I don't know if we've ever been able to

475
00:30:55.359 --> 00:30:59.880
<v Speaker 2>engage in this experiment fully, but a hope that if

476
00:31:00.119 --> 00:31:05.759
<v Speaker 2>the most vulnerable among us at least have a basic

477
00:31:06.400 --> 00:31:12.160
<v Speaker 2>level of safety and comfort, all of us will benefit

478
00:31:12.200 --> 00:31:16.440
<v Speaker 2>from that. Versus, let's see how much me and mine

479
00:31:17.079 --> 00:31:21.039
<v Speaker 2>can ensure my own safety and you know everybody else,

480
00:31:21.759 --> 00:31:22.279
<v Speaker 2>you do you.

481
00:31:24.720 --> 00:31:30.400
<v Speaker 3>Yeah, it is. And then and then the conversely, on say,

482
00:31:30.440 --> 00:31:34.440
<v Speaker 3>the more right, the right wing side of the political spectrum,

483
00:31:35.440 --> 00:31:39.079
<v Speaker 3>the most vulnerable person having rights becomes the threat to

484
00:31:39.119 --> 00:31:40.319
<v Speaker 3>them and their family.

485
00:31:40.599 --> 00:31:42.640
<v Speaker 2>Right exactly because it means, you know, because it's a

486
00:31:42.720 --> 00:31:45.039
<v Speaker 2>zero sum game, and that means I have to take

487
00:31:45.079 --> 00:31:48.319
<v Speaker 2>from what I worked so hard for and give to you,

488
00:31:48.519 --> 00:31:50.240
<v Speaker 2>even though I look at you and I don't see

489
00:31:50.279 --> 00:31:53.640
<v Speaker 2>you as working as hard as I am. And I

490
00:31:53.640 --> 00:31:58.279
<v Speaker 2>think that is a very common perspective. And you know,

491
00:31:58.400 --> 00:32:01.400
<v Speaker 2>while I don't think it is reflective of reality or

492
00:32:01.440 --> 00:32:04.759
<v Speaker 2>you know, I don't see validity in it, I do

493
00:32:05.319 --> 00:32:08.759
<v Speaker 2>always strive from a kind of.

494
00:32:12.359 --> 00:32:13.000
<v Speaker 4>I don't know from.

495
00:32:13.200 --> 00:32:17.240
<v Speaker 2>I always strive to at least try to understand it

496
00:32:18.079 --> 00:32:21.440
<v Speaker 2>from that perspective, you know, instead of just discounting it

497
00:32:21.759 --> 00:32:24.480
<v Speaker 2>whole cloth. I always want to understand why people think

498
00:32:24.480 --> 00:32:25.200
<v Speaker 2>the way they think.

499
00:32:27.039 --> 00:32:29.680
<v Speaker 3>I agree, And I think part of is also education

500
00:32:31.759 --> 00:32:38.200
<v Speaker 3>and really understanding what the perspective you're opposed to is

501
00:32:38.400 --> 00:32:42.079
<v Speaker 3>or what the person who the person you're whose existence

502
00:32:42.079 --> 00:32:44.680
<v Speaker 3>you're opposed to really is. And I always think about

503
00:32:44.960 --> 00:32:49.119
<v Speaker 3>my parents, who if you ask them, they will tell

504
00:32:49.119 --> 00:32:53.359
<v Speaker 3>you they are Republicans. I'm actually in their house right now.

505
00:32:54.000 --> 00:32:58.519
<v Speaker 3>Hopefully they're not listening. They will tell you they're Republicans.

506
00:32:58.559 --> 00:33:01.920
<v Speaker 3>When you start drilling down, take away the label and

507
00:33:01.960 --> 00:33:03.519
<v Speaker 3>you say to them, do you think we should have

508
00:33:03.640 --> 00:33:08.880
<v Speaker 3>nationalized healthcare? Saying you know, they say, actually, yeah, we should, right, yeah,

509
00:33:08.880 --> 00:33:12.359
<v Speaker 3>when you take all the indicators, all the like, I

510
00:33:12.359 --> 00:33:15.359
<v Speaker 3>guess the terms that make it what it is.

511
00:33:15.799 --> 00:33:17.079
<v Speaker 4>It's the same thing with my folks.

512
00:33:17.440 --> 00:33:21.279
<v Speaker 2>It's fascinating, like we always come down to we want

513
00:33:21.279 --> 00:33:24.519
<v Speaker 2>the same things, but we really disagree on how to

514
00:33:24.559 --> 00:33:25.000
<v Speaker 2>get there.

515
00:33:25.480 --> 00:33:27.880
<v Speaker 3>It's so true. And then I thought, you know, my

516
00:33:28.000 --> 00:33:31.079
<v Speaker 3>father is saying last night, so and so is a leftist,

517
00:33:31.119 --> 00:33:32.920
<v Speaker 3>And so I said, okay, let me play this game.

518
00:33:33.119 --> 00:33:35.799
<v Speaker 3>Like okay, I was like, how do you feel about ice?

519
00:33:36.400 --> 00:33:43.440
<v Speaker 3>How do you feel about billionaires? You sound a little

520
00:33:43.440 --> 00:33:44.799
<v Speaker 3>bit like leftists right out.

521
00:33:47.200 --> 00:33:50.279
<v Speaker 2>You know, I think that's such a perfect like those

522
00:33:50.319 --> 00:33:52.960
<v Speaker 2>two examples that you just stated, like, you know, we

523
00:33:53.240 --> 00:33:57.240
<v Speaker 2>can come back to our slice of time and look

524
00:33:57.279 --> 00:34:02.440
<v Speaker 2>at ice and look at billionaires hoarding wealth and say,

525
00:34:03.000 --> 00:34:09.519
<v Speaker 2>these are huge social problems that our system actually perpetuates

526
00:34:09.679 --> 00:34:12.559
<v Speaker 2>and created. But there must be a version of that

527
00:34:12.880 --> 00:34:18.599
<v Speaker 2>even in early civilization, right, the policing of those who

528
00:34:18.639 --> 00:34:31.000
<v Speaker 2>were other and therefore a threat to whatever somebody's narrative is, safety, security, peace, prosperity,

529
00:34:31.199 --> 00:34:36.199
<v Speaker 2>So the ice of ancient civilization. And then also billionaires

530
00:34:36.280 --> 00:34:40.760
<v Speaker 2>like the person who was really adept at counting or

531
00:34:40.800 --> 00:34:44.719
<v Speaker 2>figured out how to sort of game the token system

532
00:34:44.920 --> 00:34:48.079
<v Speaker 2>early on, and everyone goes, m, that guy, he's real smart.

533
00:34:48.079 --> 00:34:49.559
<v Speaker 2>Look at all the tokens he's got.

534
00:34:51.119 --> 00:34:52.480
<v Speaker 3>That is exactly what happened.

535
00:34:55.280 --> 00:34:57.719
<v Speaker 2>And instead of going look at all the tokens he's got,

536
00:34:57.719 --> 00:34:59.960
<v Speaker 2>what a crook? Or like, oh, I don't trust that guy.

537
00:35:00.039 --> 00:35:02.440
<v Speaker 2>He seems to always just be after our tokens. I

538
00:35:02.440 --> 00:35:04.519
<v Speaker 2>think there has been a cultural I mean, and probably

539
00:35:04.559 --> 00:35:06.360
<v Speaker 2>it's been up and down, but there have been many

540
00:35:06.400 --> 00:35:08.639
<v Speaker 2>times in our cultural history where we're like, look at

541
00:35:08.639 --> 00:35:10.920
<v Speaker 2>all those tokens, Maybe one day I could have tokens.

542
00:35:11.599 --> 00:35:14.239
<v Speaker 3>That's the problem. The problem is everybody thinks they're gonna

543
00:35:14.280 --> 00:35:17.280
<v Speaker 3>one day have tokens, and just in case, they make

544
00:35:17.280 --> 00:35:19.599
<v Speaker 3>sure the taxes stay low because they don't want to

545
00:35:19.719 --> 00:35:21.280
<v Speaker 3>give them away to anybody else.

546
00:35:22.119 --> 00:35:24.280
<v Speaker 2>Right, And instead they're just keeping that one guy with

547
00:35:24.320 --> 00:35:26.719
<v Speaker 2>the tokens, keeping all the tokens.

548
00:35:26.800 --> 00:35:33.880
<v Speaker 3>So true. You know, in ancient Mesopotamia, after the town

549
00:35:34.039 --> 00:35:40.360
<v Speaker 3>started becoming cities and the cities became city states, there

550
00:35:40.400 --> 00:35:45.960
<v Speaker 3>actually were people. They were priests who assumed the position

551
00:35:46.719 --> 00:35:49.760
<v Speaker 3>of the person who keeps track of all the tokens

552
00:35:51.000 --> 00:35:54.400
<v Speaker 3>and then therefore controlled all the provisions or the wages.

553
00:35:55.679 --> 00:35:59.159
<v Speaker 3>And there were there were upsides to it, which is

554
00:36:00.239 --> 00:36:04.880
<v Speaker 3>someone was managing life, and therefore everyone didn't have to

555
00:36:04.920 --> 00:36:08.679
<v Speaker 3>be subsistence farmers. You can become a potter, you could

556
00:36:08.719 --> 00:36:15.440
<v Speaker 3>do metalwork. Sounds delightful, there's there over and over, right,

557
00:36:15.519 --> 00:36:21.519
<v Speaker 3>we invest our trust in the person who has taken

558
00:36:21.679 --> 00:36:26.519
<v Speaker 3>that administrative duty, and it there I don't it's hard

559
00:36:26.519 --> 00:36:29.000
<v Speaker 3>to find examples where someone did that in a really

560
00:36:29.119 --> 00:36:33.559
<v Speaker 3>great way, right, like, because you have to always ask why.

561
00:36:33.639 --> 00:36:35.239
<v Speaker 2>I think it's the same thing, you know, the modern

562
00:36:35.320 --> 00:36:39.559
<v Speaker 2>equivalent is like why people don't trust politicians, because there

563
00:36:39.599 --> 00:36:44.519
<v Speaker 2>are people who get into politics because of a deep

564
00:36:45.159 --> 00:36:50.400
<v Speaker 2>desire and a social justice kind of cause and orientation

565
00:36:51.079 --> 00:36:58.719
<v Speaker 2>towards ensuring public safety and prosperity and serenity and you know,

566
00:36:59.280 --> 00:37:02.079
<v Speaker 2>public good. And then we always have to ask the question,

567
00:37:02.280 --> 00:37:06.320
<v Speaker 2>like does absolute power corrupt? Absolutely? Like did this person

568
00:37:06.360 --> 00:37:09.639
<v Speaker 2>go into it because they were power hungry, or once

569
00:37:09.679 --> 00:37:11.880
<v Speaker 2>they started to feel that power, did they realize. So

570
00:37:11.920 --> 00:37:15.199
<v Speaker 2>you've got the early token counter who Maybe that person

571
00:37:15.360 --> 00:37:18.079
<v Speaker 2>was in that role because they were good at counting,

572
00:37:18.480 --> 00:37:21.199
<v Speaker 2>or maybe it was because they said I'm ordained by God,

573
00:37:21.360 --> 00:37:22.599
<v Speaker 2>and everybody goes, I believe you.

574
00:37:23.639 --> 00:37:25.159
<v Speaker 4>It's just like, oh, that's shisty.

575
00:37:25.960 --> 00:37:28.039
<v Speaker 2>Or maybe that person got into it for any number

576
00:37:28.079 --> 00:37:30.440
<v Speaker 2>of maybe they did see early on ooh the counter

577
00:37:30.559 --> 00:37:33.159
<v Speaker 2>gets to pocket some of the tokens. But either way,

578
00:37:33.360 --> 00:37:38.800
<v Speaker 2>even if it was like a kind of noble cause, right,

579
00:37:38.880 --> 00:37:41.119
<v Speaker 2>like I'm just pretty good accounting and everybody says the

580
00:37:41.159 --> 00:37:44.000
<v Speaker 2>counting person should probably count the tokens. After a while,

581
00:37:44.000 --> 00:37:46.199
<v Speaker 2>the counting person goes, oh, nobody else can count. They

582
00:37:46.199 --> 00:37:47.880
<v Speaker 2>won't notice a few of these missing.

583
00:37:48.719 --> 00:37:52.000
<v Speaker 3>This is what I think about. Academic administrators and a

584
00:37:52.119 --> 00:37:57.000
<v Speaker 3>hospital administrators think, well, so think about it, because you know,

585
00:37:57.039 --> 00:37:59.960
<v Speaker 3>I feel like perhaps I will end up doing one

586
00:38:00.079 --> 00:38:02.920
<v Speaker 3>of those jobs as an academic administrator someday, and then

587
00:38:02.960 --> 00:38:05.320
<v Speaker 3>I think that, am I just going to become evil?

588
00:38:05.840 --> 00:38:06.800
<v Speaker 4>Right? Exactly?

589
00:38:07.119 --> 00:38:11.440
<v Speaker 2>Like does having that much you know, whatever you want

590
00:38:11.480 --> 00:38:13.519
<v Speaker 2>to define it as. I was going to say resource

591
00:38:14.079 --> 00:38:16.400
<v Speaker 2>or that much power and then it was like, oh, yeah,

592
00:38:16.440 --> 00:38:19.159
<v Speaker 2>what are we talking about here? That much data, that

593
00:38:19.280 --> 00:38:25.639
<v Speaker 2>much control over information, How does one do that without

594
00:38:25.679 --> 00:38:30.440
<v Speaker 2>some amount of personal I mean, our president is like

595
00:38:30.480 --> 00:38:33.400
<v Speaker 2>the most extreme example we have had in modern history.

596
00:38:33.880 --> 00:38:37.960
<v Speaker 2>Like we all can tell that the reason he is

597
00:38:38.000 --> 00:38:42.599
<v Speaker 2>the president is so he can have secondary gain, Like

598
00:38:42.760 --> 00:38:45.440
<v Speaker 2>he only wants to be president to get richer and

599
00:38:45.480 --> 00:38:48.000
<v Speaker 2>to get his name out there more and to be

600
00:38:48.079 --> 00:38:51.039
<v Speaker 2>on buildings and line his pockets. Like he's using it

601
00:38:51.079 --> 00:38:52.519
<v Speaker 2>as a conduit to that.

602
00:38:54.320 --> 00:39:01.159
<v Speaker 3>Undoubtedly, I wonder sometimes I think about, how, okay, let's

603
00:39:01.159 --> 00:39:05.800
<v Speaker 3>talk about President Obama. Who you know, there are things

604
00:39:05.800 --> 00:39:08.880
<v Speaker 3>that he did that I feel like we're disappointing.

605
00:39:09.159 --> 00:39:12.159
<v Speaker 2>So yeah, some area with some journalists, some stuff. You know,

606
00:39:12.199 --> 00:39:14.599
<v Speaker 2>It's like, yeah, yeah, I could criticize him for sure.

607
00:39:14.840 --> 00:39:16.920
<v Speaker 3>What I feel like he did really well is he

608
00:39:17.079 --> 00:39:24.599
<v Speaker 3>surrounded himself with a smart people and b it doesn't

609
00:39:24.599 --> 00:39:26.719
<v Speaker 3>seem like he surrounded himself with people are and tell

610
00:39:26.800 --> 00:39:28.480
<v Speaker 3>him what he wanted to hear exactly.

611
00:39:28.519 --> 00:39:33.400
<v Speaker 2>He surrounded himself with people who would challenge him. And

612
00:39:33.440 --> 00:39:36.599
<v Speaker 2>I think that is so important. If the token counter

613
00:39:36.800 --> 00:39:40.000
<v Speaker 2>early on said I'm going to count the tokens, but

614
00:39:40.159 --> 00:39:44.039
<v Speaker 2>you guys can choose five other people from the community

615
00:39:44.679 --> 00:39:49.960
<v Speaker 2>to check my books every day. That's a totally different system.

616
00:39:50.239 --> 00:39:52.840
<v Speaker 2>Then I'm going to count all the tokens. Trust me

617
00:39:53.320 --> 00:39:55.360
<v Speaker 2>and know you're not allowed to enter my office while

618
00:39:55.360 --> 00:39:56.280
<v Speaker 2>I'm counting tokens.

619
00:39:57.559 --> 00:40:00.199
<v Speaker 3>It's true. I think that's where it comes back to

620
00:40:01.159 --> 00:40:05.119
<v Speaker 3>the twenty first century and what we see how much

621
00:40:05.280 --> 00:40:09.000
<v Speaker 3>trust that governments around the world, and certainly the US

622
00:40:09.119 --> 00:40:13.360
<v Speaker 3>government are putting in tech companies. Because let's talk about

623
00:40:13.400 --> 00:40:17.000
<v Speaker 3>for example, we've been talking about Ice partnering with Palenteer

624
00:40:17.880 --> 00:40:24.760
<v Speaker 3>to develop immigration os to find people to deport. We're

625
00:40:24.760 --> 00:40:30.480
<v Speaker 3>in a pretty dangerous situation because governments want to do

626
00:40:30.559 --> 00:40:33.079
<v Speaker 3>things that involve a lot of data. They don't have

627
00:40:33.119 --> 00:40:35.639
<v Speaker 3>the capacity to actually do it themselves, so they contract

628
00:40:35.679 --> 00:40:37.840
<v Speaker 3>with companies to do it. But in the US, particularly

629
00:40:37.920 --> 00:40:41.159
<v Speaker 3>without something like GDPR, it's in an environment where there's

630
00:40:42.400 --> 00:40:45.400
<v Speaker 3>very little in the way of regulation. And so essentially

631
00:40:45.440 --> 00:40:48.559
<v Speaker 3>you have tech companies working with governments they have given

632
00:40:48.599 --> 00:40:52.599
<v Speaker 3>them exactly what they want, which is room to do

633
00:40:52.719 --> 00:40:57.719
<v Speaker 3>whatever they want, and governments who are saying, Okay, tell

634
00:40:57.760 --> 00:40:59.360
<v Speaker 3>me how you're going to fix my problems. And so

635
00:40:59.360 --> 00:41:04.280
<v Speaker 3>it's this little echo chamber in which where's the pushback and.

636
00:41:04.960 --> 00:41:07.760
<v Speaker 4>There's the rails? Exactly where are the rails?

637
00:41:07.800 --> 00:41:10.880
<v Speaker 2>Like the government says, hey, tech company, I want you

638
00:41:10.960 --> 00:41:12.519
<v Speaker 2>to look at all this big data to tell us

639
00:41:12.519 --> 00:41:15.039
<v Speaker 2>where the threats are. And the tech company goes, cool,

640
00:41:15.159 --> 00:41:16.800
<v Speaker 2>give me a bunch of money for that, and also

641
00:41:17.559 --> 00:41:19.599
<v Speaker 2>thanks for all the access. We're going to figure out

642
00:41:19.599 --> 00:41:22.159
<v Speaker 2>how to monetize all this access on the back end too.

643
00:41:22.719 --> 00:41:24.039
<v Speaker 4>What a good deal for us.

644
00:41:24.679 --> 00:41:27.280
<v Speaker 2>And as you mentioned, nobody has the time to do

645
00:41:27.360 --> 00:41:30.079
<v Speaker 2>it all themselves. So they're like, oh, we'll just develop

646
00:41:30.960 --> 00:41:34.599
<v Speaker 2>an algorithm and now we have you know, llms and

647
00:41:34.679 --> 00:41:39.440
<v Speaker 2>other AI approaches, we'll develop an algorithm using you know,

648
00:41:39.519 --> 00:41:42.239
<v Speaker 2>the most cutting edge tech to just do it for us.

649
00:41:43.360 --> 00:41:47.239
<v Speaker 2>But when you're using AI to develop that tech, you

650
00:41:47.400 --> 00:41:51.960
<v Speaker 2>don't necessarily have access to the how Some things are

651
00:41:52.000 --> 00:41:55.159
<v Speaker 2>a black box. So it's like, let's hope it all works,

652
00:41:57.280 --> 00:42:00.840
<v Speaker 2>you know, and even if it does work the way

653
00:42:00.880 --> 00:42:03.719
<v Speaker 2>they intend it to work, you know, it's what is

654
00:42:03.719 --> 00:42:07.599
<v Speaker 2>that old adage that if you are not paying for

655
00:42:07.639 --> 00:42:12.480
<v Speaker 2>the product, you are the product. Like we are, our

656
00:42:12.519 --> 00:42:18.840
<v Speaker 2>own lives, our behaviors are, decision making is being traded.

657
00:42:20.119 --> 00:42:23.119
<v Speaker 4>To market to like what's so depressing.

658
00:42:24.320 --> 00:42:26.000
<v Speaker 3>It is. I don't know if I'm supposed to try

659
00:42:26.000 --> 00:42:26.679
<v Speaker 3>and fix out that.

660
00:42:28.159 --> 00:42:30.199
<v Speaker 2>But do you notice when it comes to this conversation

661
00:42:30.280 --> 00:42:33.159
<v Speaker 2>about data, And I'm curious how you approach this in

662
00:42:33.199 --> 00:42:35.199
<v Speaker 2>your work, you know, whether it's in the book or

663
00:42:35.519 --> 00:42:40.119
<v Speaker 2>in your greater work. This movement away from like making stuff.

664
00:42:40.159 --> 00:42:43.039
<v Speaker 2>And it's true, we still need stuff, but we've outsourced

665
00:42:43.039 --> 00:42:49.079
<v Speaker 2>a lot of our stuff making to large, large countries

666
00:42:49.639 --> 00:42:55.480
<v Speaker 2>with sometimes questionable regulation where individual human rights are really

667
00:42:55.480 --> 00:42:57.639
<v Speaker 2>trampled upon, so that we can get cheaper and cheaper

668
00:42:57.719 --> 00:43:00.960
<v Speaker 2>stuff because you know it's cheaper, the labor is cheap

669
00:43:01.000 --> 00:43:07.039
<v Speaker 2>and or free, meaning human trafficking, slavery, all of those things.

670
00:43:07.760 --> 00:43:11.920
<v Speaker 2>But a lot now of what is paying the bills

671
00:43:12.199 --> 00:43:15.360
<v Speaker 2>for the government for these large tech companies is not stuff.

672
00:43:16.280 --> 00:43:20.880
<v Speaker 4>They're trading their equity, their commodities.

673
00:43:20.960 --> 00:43:25.400
<v Speaker 2>It's information, like we're not making anything anymore. So is

674
00:43:25.400 --> 00:43:29.519
<v Speaker 2>it not like a bubble? Like is this not built

675
00:43:29.519 --> 00:43:31.039
<v Speaker 2>on a house of cards.

676
00:43:31.960 --> 00:43:34.360
<v Speaker 3>I'm completely convinced it is. And part of this is

677
00:43:34.400 --> 00:43:37.559
<v Speaker 3>because when you hear there's recently a study that came

678
00:43:37.559 --> 00:43:41.000
<v Speaker 3>out in January of twenty twenty five, and you ask

679
00:43:41.119 --> 00:43:46.360
<v Speaker 3>CEOs if they thought that AI was going to help

680
00:43:46.400 --> 00:43:48.280
<v Speaker 3>them reduce their labor force, as if that's a good

681
00:43:48.280 --> 00:43:53.880
<v Speaker 3>thing they about it was around sixty percent or so

682
00:43:54.159 --> 00:43:58.159
<v Speaker 3>said yeah, absolutely, this is going to lead to reduction aheadcount.

683
00:43:58.719 --> 00:44:02.039
<v Speaker 3>And the study of CEOs from the same people doing

684
00:44:02.840 --> 00:44:05.519
<v Speaker 3>doing came out last week said twenty one percent of

685
00:44:05.559 --> 00:44:08.639
<v Speaker 3>them say that. I'm sure they think that's a bad thing.

686
00:44:08.920 --> 00:44:13.159
<v Speaker 3>I think it sounds great because people having jobs, to

687
00:44:13.239 --> 00:44:16.039
<v Speaker 3>me is a good thing. And also I do not

688
00:44:16.239 --> 00:44:23.840
<v Speaker 3>trust the I don't trust that any technology should be

689
00:44:24.320 --> 00:44:28.760
<v Speaker 3>making decisions about anything without humans being.

690
00:44:28.480 --> 00:44:32.599
<v Speaker 2>Involved, right, at least having oversight or a check in

691
00:44:32.679 --> 00:44:33.480
<v Speaker 2>a balance.

692
00:44:33.599 --> 00:44:33.760
<v Speaker 3>Right.

693
00:44:33.960 --> 00:44:36.880
<v Speaker 4>I'm happy to offload portions of my job.

694
00:44:36.960 --> 00:44:40.480
<v Speaker 2>I cannot wait until my hospital has an AI that's

695
00:44:40.519 --> 00:44:43.280
<v Speaker 2>good enough that I can do a therapy session with

696
00:44:43.320 --> 00:44:45.800
<v Speaker 2>my patient and just press enter at the end and

697
00:44:45.840 --> 00:44:49.239
<v Speaker 2>my note is written for me. Like that would be phenomenal,

698
00:44:49.480 --> 00:44:51.199
<v Speaker 2>because that is a part of my job that I

699
00:44:51.239 --> 00:44:55.039
<v Speaker 2>hate and I shouldn't be getting paid to do this,

700
00:44:55.199 --> 00:44:59.440
<v Speaker 2>like grunt work that doesn't really serve anybody except the

701
00:44:59.440 --> 00:45:00.400
<v Speaker 2>insurance commpanies.

702
00:45:01.280 --> 00:45:04.360
<v Speaker 3>Yeah, I just like kind deal with my emails, Yeah exactly.

703
00:45:04.440 --> 00:45:06.639
<v Speaker 2>Like there are things that it's like, yes, yes, yes, please.

704
00:45:07.079 --> 00:45:09.079
<v Speaker 2>But I sometimes worry. I think about the way that

705
00:45:09.119 --> 00:45:11.920
<v Speaker 2>we do ballad initiatives in California, like the way we

706
00:45:12.039 --> 00:45:14.599
<v Speaker 2>vote where I love my state to death. But one

707
00:45:14.639 --> 00:45:17.320
<v Speaker 2>of the things I think is very problematic is we

708
00:45:17.400 --> 00:45:20.840
<v Speaker 2>sometimes will decouple the initiative from the way we're going

709
00:45:20.920 --> 00:45:23.199
<v Speaker 2>to pay for the initial for you know, you have

710
00:45:23.280 --> 00:45:24.800
<v Speaker 2>this ballad and we want all this cool stuff, and

711
00:45:24.800 --> 00:45:27.679
<v Speaker 2>everybody goes yes, yes, someting seventeen or whatever, and then

712
00:45:27.679 --> 00:45:29.639
<v Speaker 2>they go, Okay, we're gonna do this, this, this in

713
00:45:29.719 --> 00:45:32.000
<v Speaker 2>order to pay for No, don't want that, And all

714
00:45:32.000 --> 00:45:33.719
<v Speaker 2>of a sudden, we have all this stuff we said

715
00:45:33.800 --> 00:45:36.440
<v Speaker 2>we're gonna do, and we don't have any funding for it.

716
00:45:36.719 --> 00:45:38.920
<v Speaker 4>And I think about that with sure.

717
00:45:39.280 --> 00:45:42.559
<v Speaker 2>An in a utopia, a tech ceo saying I'm going

718
00:45:42.599 --> 00:45:44.360
<v Speaker 2>to cut my labor force in half and have the

719
00:45:44.440 --> 00:45:48.119
<v Speaker 2>robots in the machines take all of this menial labor

720
00:45:48.599 --> 00:45:52.559
<v Speaker 2>is great if we have universal basic income. You know,

721
00:45:52.639 --> 00:45:54.599
<v Speaker 2>it's like, but you can't decouple those things.

722
00:45:55.199 --> 00:45:57.400
<v Speaker 3>It's so true, And I think the hard part is

723
00:45:57.440 --> 00:46:03.880
<v Speaker 3>that they keep talking as if one day AI generative

724
00:46:03.920 --> 00:46:07.920
<v Speaker 3>AI superintelligence is going to free us from all of

725
00:46:07.960 --> 00:46:10.159
<v Speaker 3>the things we don't actually want to do, and we're

726
00:46:10.159 --> 00:46:15.119
<v Speaker 3>going to have these lives of leisure, And I wonder who's.

727
00:46:14.840 --> 00:46:17.119
<v Speaker 4>Paying for that exactly, who's going to pay for it?

728
00:46:17.159 --> 00:46:17.320
<v Speaker 3>Oh?

729
00:46:17.400 --> 00:46:19.880
<v Speaker 4>Is that why you're amassing all this wealth? I don't

730
00:46:19.920 --> 00:46:20.400
<v Speaker 4>think so.

731
00:46:22.480 --> 00:46:27.800
<v Speaker 3>The other bubbly part about it is that the funding

732
00:46:27.880 --> 00:46:36.880
<v Speaker 3>model is completely suspect. Because the enterprise, the enterprise license charges,

733
00:46:37.119 --> 00:46:41.559
<v Speaker 3>the consumer subscription charges for any of these models Claude

734
00:46:42.519 --> 00:46:47.239
<v Speaker 3>Mermanthropic or GBT for open AI, they're not actually covering

735
00:46:47.280 --> 00:46:50.920
<v Speaker 3>the cost of running the models. But let's be even

736
00:46:50.960 --> 00:46:55.199
<v Speaker 3>putting aside that there are an environmental costs with water

737
00:46:55.400 --> 00:46:59.159
<v Speaker 3>and emissions and so forth. Those are all very real things.

738
00:46:59.480 --> 00:47:03.280
<v Speaker 3>Even you put that aside. Their model is being supported

739
00:47:03.360 --> 00:47:08.639
<v Speaker 3>by either mergers and acquisitions that are happening within Silicon

740
00:47:08.719 --> 00:47:12.360
<v Speaker 3>Valley or vast amounts of venture capital, and all that

741
00:47:12.400 --> 00:47:17.960
<v Speaker 3>funding is propping this up. And sometimes I just sometimes

742
00:47:18.000 --> 00:47:22.840
<v Speaker 3>I look at my my stock I think it's great,

743
00:47:23.000 --> 00:47:29.039
<v Speaker 3>And then sometimes more of the time I just think, so,

744
00:47:29.039 --> 00:47:33.760
<v Speaker 3>what happens when finally the venture capitalists to say, you

745
00:47:33.800 --> 00:47:39.800
<v Speaker 3>know what, we cannot infinitely prop up right a technology

746
00:47:39.960 --> 00:47:43.239
<v Speaker 3>that can that actually has no return on investment.

747
00:47:43.239 --> 00:47:46.440
<v Speaker 2>Mm hmm, yeah, the Great Depression happens, right, or the

748
00:47:46.440 --> 00:47:49.800
<v Speaker 2>two thousand and eight financial crisis, Like your stock portfolio

749
00:47:50.639 --> 00:47:52.199
<v Speaker 2>is in the toilet when that happens.

750
00:47:52.400 --> 00:47:53.840
<v Speaker 4>Yeah, And that's.

751
00:47:53.679 --> 00:47:58.519
<v Speaker 2>Like, that's a scary proposition for anybody who is and

752
00:47:58.559 --> 00:48:00.639
<v Speaker 2>I say this myself being one of the anybody who

753
00:48:00.679 --> 00:48:04.440
<v Speaker 2>is privileged enough to be concerned about that, you know,

754
00:48:04.599 --> 00:48:06.360
<v Speaker 2>And it's.

755
00:48:06.159 --> 00:48:06.960
<v Speaker 4>I love.

756
00:48:08.480 --> 00:48:16.880
<v Speaker 2>The way that you directly tie these existential eschatological like

757
00:48:17.320 --> 00:48:22.760
<v Speaker 2>really terrifying realities of this kind of precipice that a

758
00:48:22.760 --> 00:48:28.000
<v Speaker 2>lot of us feel we are on in modern society,

759
00:48:28.039 --> 00:48:33.599
<v Speaker 2>back to the earliest anthropologic evidence that we have of

760
00:48:33.719 --> 00:48:37.480
<v Speaker 2>human beings existing around each other, and then carry it

761
00:48:37.679 --> 00:48:42.519
<v Speaker 2>all the way through the recorded human history that we have.

762
00:48:43.280 --> 00:48:46.320
<v Speaker 2>There are good examples though, right, Like there are examples

763
00:48:46.320 --> 00:48:53.320
<v Speaker 2>where some cultures figured out how to utilize data, saw

764
00:48:53.360 --> 00:48:58.199
<v Speaker 2>that data and information is power, and managed to at

765
00:48:58.280 --> 00:49:05.159
<v Speaker 2>least maintain some level of I don't know, egalitarianism or

766
00:49:05.239 --> 00:49:06.039
<v Speaker 2>is that just a myth.

767
00:49:07.559 --> 00:49:10.920
<v Speaker 3>Absolutely there are examples of that, I think for back to,

768
00:49:11.000 --> 00:49:15.920
<v Speaker 3>for example, the use of the KEEPU, which was the

769
00:49:16.800 --> 00:49:22.159
<v Speaker 3>ink in word for a system of information management that

770
00:49:22.239 --> 00:49:26.519
<v Speaker 3>involved tying knots and strings, which was used as early

771
00:49:26.559 --> 00:49:30.119
<v Speaker 3>as around thirty five hundred BC or so, same time

772
00:49:30.159 --> 00:49:32.960
<v Speaker 3>as the emergence of our civilizations of Mesodotamia, but in

773
00:49:33.039 --> 00:49:38.079
<v Speaker 3>ancient Peru, where it's an interesting society archaeologically because there's

774
00:49:38.079 --> 00:49:42.400
<v Speaker 3>actually no evidence of there having been any war. There's

775
00:49:42.519 --> 00:49:46.519
<v Speaker 3>people who didn't have war, and there was also there's

776
00:49:46.559 --> 00:49:48.920
<v Speaker 3>no ruler in the sense of there was a king,

777
00:49:48.960 --> 00:49:53.119
<v Speaker 3>which was pretty standard for civilizations at that time to

778
00:49:53.199 --> 00:49:57.960
<v Speaker 3>have a king. Certainly that there was hierarchical society, but

779
00:49:58.599 --> 00:50:02.559
<v Speaker 3>it was not hierarchical in that same way that it

780
00:50:02.639 --> 00:50:06.360
<v Speaker 3>wasn't say Mesopotamia the Near East, and so they were

781
00:50:06.920 --> 00:50:09.320
<v Speaker 3>certainly someone was in charge of tying the knots in

782
00:50:09.360 --> 00:50:11.519
<v Speaker 3>the strings, and they were sort of like mnemonic devices,

783
00:50:11.519 --> 00:50:14.360
<v Speaker 3>so they feel the string and feel how it was

784
00:50:14.400 --> 00:50:17.119
<v Speaker 3>tied or how how far was it spaced from another,

785
00:50:17.239 --> 00:50:21.079
<v Speaker 3>not you know, to remember what the information was. But

786
00:50:21.800 --> 00:50:24.239
<v Speaker 3>it was an example where it was, you truly just

787
00:50:24.280 --> 00:50:28.760
<v Speaker 3>treated as a method of managing the scale of life

788
00:50:28.880 --> 00:50:35.679
<v Speaker 3>without it having to become this kind of massive, you know,

789
00:50:36.559 --> 00:50:43.639
<v Speaker 3>massively unequal society. And I think that's that's a really

790
00:50:45.119 --> 00:50:46.320
<v Speaker 3>good example of that.

791
00:50:46.880 --> 00:50:49.079
<v Speaker 2>Yeah, it's it's it almost like begs the sort of

792
00:50:49.320 --> 00:50:53.760
<v Speaker 2>question of the chicken and the egg sort of is

793
00:50:53.800 --> 00:51:02.840
<v Speaker 2>it that the tools themselves allowed for a intentionality that

794
00:51:02.920 --> 00:51:08.559
<v Speaker 2>already existed, or is it that the tools created an intentionality?

795
00:51:08.639 --> 00:51:13.599
<v Speaker 2>Like did this ancient inca society just have egalitarian values

796
00:51:14.719 --> 00:51:18.719
<v Speaker 2>and did they develop these tools in order to have

797
00:51:18.800 --> 00:51:22.000
<v Speaker 2>this sort of just I couldn't say completely neutral, but

798
00:51:22.079 --> 00:51:27.480
<v Speaker 2>like likely neutral outcome? Or you know, the tokens, were

799
00:51:27.480 --> 00:51:30.280
<v Speaker 2>the tokens there early on, the clay tokens and Mesopotamia?

800
00:51:30.320 --> 00:51:33.559
<v Speaker 2>Were they there early on simply as a tool or

801
00:51:34.039 --> 00:51:36.880
<v Speaker 2>were they actually you know, was it a feature not

802
00:51:37.000 --> 00:51:43.280
<v Speaker 2>a bug that they became or existed as a means

803
00:51:43.440 --> 00:51:47.000
<v Speaker 2>to divide power unequally.

804
00:51:48.000 --> 00:51:52.679
<v Speaker 3>By completely unscientific speculation on this is that if it

805
00:51:52.840 --> 00:51:56.400
<v Speaker 3>hadn't been the tokens, it would have been something else. Yep.

806
00:51:56.440 --> 00:51:58.440
<v Speaker 2>That's how I feel about religion, if I'm being honest,

807
00:51:58.519 --> 00:52:00.880
<v Speaker 2>Like it's not the really religion itself. I think a

808
00:52:00.880 --> 00:52:02.800
<v Speaker 2>lot of people blame religion for a lot of things,

809
00:52:02.840 --> 00:52:03.440
<v Speaker 2>and I'm like, no.

810
00:52:03.519 --> 00:52:06.079
<v Speaker 4>That's just the way they did it. You know, those

811
00:52:06.079 --> 00:52:08.800
<v Speaker 4>people were going to do that using some other method.

812
00:52:09.840 --> 00:52:12.039
<v Speaker 3>Yeah, And I mean I'm not you know, trying to

813
00:52:12.639 --> 00:52:17.239
<v Speaker 3>paint the ancient civilization Carol soupet Peru as like some

814
00:52:17.320 --> 00:52:20.320
<v Speaker 3>kind of eutopian paradise. We actually don't know. We just

815
00:52:20.440 --> 00:52:23.599
<v Speaker 3>know what we see there and what we don't see there.

816
00:52:23.960 --> 00:52:26.960
<v Speaker 3>But at the same time, it's quite telling when you

817
00:52:28.239 --> 00:52:32.760
<v Speaker 3>look to ancient Mesopotamia and you see over time, based

818
00:52:32.800 --> 00:52:36.559
<v Speaker 3>on the you know, layers of archaeological research that people

819
00:52:36.639 --> 00:52:40.480
<v Speaker 3>have done, is the movement of the tokens out of

820
00:52:40.519 --> 00:52:46.400
<v Speaker 3>the homes into the granaries, you know, into the temples,

821
00:52:46.480 --> 00:52:48.800
<v Speaker 3>and then the tablets with the cuneiform writing are in

822
00:52:48.880 --> 00:52:51.079
<v Speaker 3>the temples. And so it's because it's very clear that

823
00:52:51.199 --> 00:52:54.800
<v Speaker 3>the people in the temples of like assumed the control

824
00:52:54.960 --> 00:52:58.760
<v Speaker 3>over this tool and then are using it, you know,

825
00:52:59.079 --> 00:53:01.880
<v Speaker 3>I mean, perhaps let's be nice, like at first it's like, great,

826
00:53:01.920 --> 00:53:04.559
<v Speaker 3>it's a tool. It can help me do a thing.

827
00:53:04.760 --> 00:53:07.719
<v Speaker 3>But then you know, all of a sudden you are

828
00:53:07.760 --> 00:53:11.519
<v Speaker 3>a warlord going after the next town and trying to

829
00:53:11.559 --> 00:53:13.960
<v Speaker 3>take it over. And then think about you know, one

830
00:53:13.960 --> 00:53:18.320
<v Speaker 3>of the recent studies that came out about about generative AI,

831
00:53:19.119 --> 00:53:23.800
<v Speaker 3>which is that it was there's a study that says

832
00:53:23.840 --> 00:53:27.840
<v Speaker 3>that it was making tiny changes in output it was

833
00:53:27.920 --> 00:53:32.039
<v Speaker 3>generating on the topic of abortion rates, and that those

834
00:53:32.159 --> 00:53:35.239
<v Speaker 3>tiny changes were actually changing the meaning. And if people

835
00:53:35.280 --> 00:53:39.480
<v Speaker 3>aren't reading the output that they're asking for before they

836
00:53:39.519 --> 00:53:42.639
<v Speaker 3>are using it somewhere, they may not actually realize that

837
00:53:42.800 --> 00:53:46.559
<v Speaker 3>a small semantic change has actually changed the meaning of

838
00:53:46.599 --> 00:53:50.599
<v Speaker 3>their sentence and the political meeting of their sentence. And

839
00:53:50.679 --> 00:53:53.320
<v Speaker 3>so now we're in this weird situation where you know,

840
00:53:53.360 --> 00:53:58.679
<v Speaker 3>again like there's this tool, you know, arguably not inherently bad.

841
00:53:59.320 --> 00:54:02.599
<v Speaker 3>People are you using it? They're using it because you know,

842
00:54:02.639 --> 00:54:05.239
<v Speaker 3>they want efficiency, they want optimization, they want to get

843
00:54:05.239 --> 00:54:08.119
<v Speaker 3>ahead whatever it is they're using it for. But now

844
00:54:08.119 --> 00:54:11.360
<v Speaker 3>it's sort of flipping in a way that the token couldn't,

845
00:54:11.480 --> 00:54:16.280
<v Speaker 3>the tablet couldn't, in which the actual tool itself is

846
00:54:17.800 --> 00:54:21.639
<v Speaker 3>changing the output. And that, to me is where we

847
00:54:21.679 --> 00:54:23.039
<v Speaker 3>should be deeply worried.

848
00:54:23.400 --> 00:54:27.480
<v Speaker 2>Yeah, there's this like potential for a runaway feedback loop.

849
00:54:28.039 --> 00:54:29.639
<v Speaker 2>I mean, I think about climate change, and I think

850
00:54:29.679 --> 00:54:33.480
<v Speaker 2>about all of these other sort of large systemic inflection

851
00:54:33.639 --> 00:54:38.199
<v Speaker 2>points that human beings have reached where we see then

852
00:54:38.360 --> 00:54:41.760
<v Speaker 2>massive population decline, where we see them huge you know,

853
00:54:41.800 --> 00:54:46.599
<v Speaker 2>industrial revolution, right, huge increases and in danger to health

854
00:54:46.599 --> 00:54:49.199
<v Speaker 2>and human safety, but also to all of the organisms

855
00:54:49.239 --> 00:54:55.559
<v Speaker 2>on the planet. These financial systems, I sometimes worry, like, well,

856
00:54:55.559 --> 00:54:58.239
<v Speaker 2>I don't even worry. I think I am somewhat cynical

857
00:54:58.400 --> 00:55:01.199
<v Speaker 2>about the g being out of the bottle, Like, we

858
00:55:01.199 --> 00:55:05.639
<v Speaker 2>can't recork this at this point, we just have to

859
00:55:05.639 --> 00:55:06.760
<v Speaker 2>figure out how to manage it.

860
00:55:07.480 --> 00:55:10.000
<v Speaker 3>I think that's absolutely right. I think we can think

861
00:55:10.000 --> 00:55:12.920
<v Speaker 3>about it as something that we could iterate on and improve.

862
00:55:14.039 --> 00:55:15.800
<v Speaker 3>I think the ship sailed. It was funny because I

863
00:55:15.880 --> 00:55:17.840
<v Speaker 3>was writing this book. I realized after the fact that

864
00:55:17.840 --> 00:55:23.559
<v Speaker 3>I had tried very, very hard to not have to

865
00:55:23.679 --> 00:55:28.400
<v Speaker 3>not communicate that really this is just about capitalism, or

866
00:55:28.480 --> 00:55:35.119
<v Speaker 3>really this is just about colonialism, because it's not. Certainly

867
00:55:35.760 --> 00:55:42.480
<v Speaker 3>people aren't running a capitalist economy in an ancient sumer. Yeah.

868
00:55:43.159 --> 00:55:52.960
<v Speaker 3>At the same time, it's a very interesting correlation that capitalism,

869
00:55:53.360 --> 00:56:00.400
<v Speaker 3>transatlantic slave trade, colonialism, we're all happening at the same time,

870
00:56:00.440 --> 00:56:02.519
<v Speaker 3>and it's hard to separate them out from each other,

871
00:56:03.039 --> 00:56:06.000
<v Speaker 3>and so it's very kind afterwards, I was I think

872
00:56:06.000 --> 00:56:07.679
<v Speaker 3>I was at the point at which I was doing

873
00:56:07.679 --> 00:56:10.239
<v Speaker 3>my final final revisions, and I realized I had not

874
00:56:10.320 --> 00:56:13.800
<v Speaker 3>used the word capitalism once because I was trying so hard. Yeah,

875
00:56:13.960 --> 00:56:17.079
<v Speaker 3>not to just have this be oh like some like

876
00:56:17.159 --> 00:56:20.719
<v Speaker 3>leftists like Gridigo just thinks that capitalism is bad like well, actually, yeah,

877
00:56:20.719 --> 00:56:23.639
<v Speaker 3>I kind of do, but not trying to alienate the

878
00:56:23.679 --> 00:56:24.280
<v Speaker 3>readers here.

879
00:56:24.519 --> 00:56:25.920
<v Speaker 4>And it's so much deeper than that.

880
00:56:26.039 --> 00:56:28.800
<v Speaker 2>Capitalism as we define it is a much more complex

881
00:56:28.840 --> 00:56:31.079
<v Speaker 2>system and it has specific values and it has but

882
00:56:31.159 --> 00:56:35.000
<v Speaker 2>this is like, this is the sort of the building blocks.

883
00:56:35.159 --> 00:56:38.320
<v Speaker 2>These are the things that happened before capital and like

884
00:56:38.480 --> 00:56:40.760
<v Speaker 2>the way that we're looking at it, it's even in

885
00:56:40.880 --> 00:56:45.960
<v Speaker 2>socialist nations there were capitalists undertones, because where there is property,

886
00:56:46.840 --> 00:56:48.519
<v Speaker 2>there's capitalism.

887
00:56:48.559 --> 00:56:52.039
<v Speaker 3>One hundred percent. I mean, it's yeah, and it's not

888
00:56:52.119 --> 00:56:55.360
<v Speaker 3>like this. I mean I have two examples, one from

889
00:56:55.639 --> 00:57:00.239
<v Speaker 3>Solenist Russia and one from Mao's China, where it's not

890
00:57:00.320 --> 00:57:03.119
<v Speaker 3>like things were going much better for the people living there.

891
00:57:03.159 --> 00:57:06.280
<v Speaker 3>And so but it was very funny because I realized

892
00:57:06.280 --> 00:57:09.039
<v Speaker 3>that I had taken such pains to not have this

893
00:57:09.159 --> 00:57:13.760
<v Speaker 3>be reducible to capitalism. Is the problem that I didn't

894
00:57:13.760 --> 00:57:15.280
<v Speaker 3>even have it in there, and then I had to

895
00:57:15.320 --> 00:57:19.440
<v Speaker 3>go back fix that because I don't I'm not named

896
00:57:19.639 --> 00:57:22.239
<v Speaker 3>part of the problem. But this at the same time,

897
00:57:22.280 --> 00:57:27.480
<v Speaker 3>I think that this particular mode in the US of

898
00:57:27.599 --> 00:57:30.119
<v Speaker 3>I guess some people call it late stage capitalism, but

899
00:57:30.679 --> 00:57:37.559
<v Speaker 3>the deep lack of regulation, the you know, corporations or

900
00:57:37.760 --> 00:57:42.559
<v Speaker 3>you have the rights of people, these are to me

901
00:57:43.000 --> 00:57:46.360
<v Speaker 3>areas for improvement, and there's no reason we can't. I mean,

902
00:57:46.400 --> 00:57:49.119
<v Speaker 3>I live in Salem, Massachusetts, and we're doing a universal

903
00:57:49.159 --> 00:57:50.480
<v Speaker 3>basic income pilot.

904
00:57:51.320 --> 00:57:52.480
<v Speaker 4>I think that's pretty cool.

905
00:57:53.159 --> 00:57:56.079
<v Speaker 3>And you know, there's other cities, other towns around the

906
00:57:56.119 --> 00:57:59.719
<v Speaker 3>country have found out that turns out, one way you

907
00:57:59.760 --> 00:58:04.039
<v Speaker 3>can solve the problem of people being unhoused is providing

908
00:58:04.079 --> 00:58:04.920
<v Speaker 3>them with housing.

909
00:58:05.519 --> 00:58:08.599
<v Speaker 2>Yeah, and you've seen it in places as wildly different

910
00:58:08.679 --> 00:58:13.480
<v Speaker 2>as like Salt Lake City, Utah, and Los Angeles, California. Yeah.

911
00:58:13.519 --> 00:58:18.639
<v Speaker 3>And so if I think my worry is that the

912
00:58:18.679 --> 00:58:21.159
<v Speaker 3>world feels so overwhelming right now that it's easy to

913
00:58:21.159 --> 00:58:23.320
<v Speaker 3>feel like there's absolutely nothing that anyone could do about

914
00:58:23.360 --> 00:58:27.519
<v Speaker 3>it because there's these big systems, right big tack capitalism.

915
00:58:28.440 --> 00:58:32.800
<v Speaker 3>But that's not actually true. I just look at the Obviously,

916
00:58:32.800 --> 00:58:35.760
<v Speaker 3>I live in like a little utopia in Sale, Massachusetts

917
00:58:35.800 --> 00:58:41.159
<v Speaker 3>with our rainbow flag crosswalks and our universal basic GACO pilot.

918
00:58:41.199 --> 00:58:44.400
<v Speaker 3>But I do think, you know, that's a community that

919
00:58:44.599 --> 00:58:48.639
<v Speaker 3>said this is what we want to try and maybe

920
00:58:48.639 --> 00:58:50.480
<v Speaker 3>it's gonna work, maybe it's not gonna work, but we're

921
00:58:50.519 --> 00:58:53.320
<v Speaker 3>gonna try it. And that doesn't mean that everyone there agrees,

922
00:58:53.519 --> 00:58:57.320
<v Speaker 3>because they're definitely people who think that this is completely

923
00:58:58.960 --> 00:59:03.920
<v Speaker 3>ass backwards, but we are, on the whole have agreed

924
00:59:03.960 --> 00:59:06.559
<v Speaker 3>to try to do something different. And I think it's

925
00:59:06.679 --> 00:59:09.480
<v Speaker 3>that those kinds of changes on the local level, you know,

926
00:59:09.599 --> 00:59:13.000
<v Speaker 3>in your community, what can you try and advocate for

927
00:59:13.159 --> 00:59:14.519
<v Speaker 3>how do you talk to you know, how do you

928
00:59:14.559 --> 00:59:17.039
<v Speaker 3>talk to your parent and say, like, are you really

929
00:59:17.079 --> 00:59:20.079
<v Speaker 3>your pabucking? Because it doesn't sat me, you don't say

930
00:59:20.119 --> 00:59:23.159
<v Speaker 3>that part, but be talking to them about specific policies

931
00:59:23.280 --> 00:59:24.800
<v Speaker 3>or what do you really think? What do you agree with?

932
00:59:24.880 --> 00:59:26.960
<v Speaker 3>What do you disagree with? You know, have you considered

933
00:59:27.599 --> 00:59:30.440
<v Speaker 3>this perspective that maybe isn't your own? I think that's

934
00:59:30.480 --> 00:59:32.880
<v Speaker 3>where that's where I find the hope.

935
00:59:33.079 --> 00:59:33.559
<v Speaker 4>Yeah.

936
00:59:33.639 --> 00:59:36.960
<v Speaker 2>Yeah, And it's so funny because a, you're very good

937
00:59:37.000 --> 00:59:41.760
<v Speaker 2>at this, because any other podcaster would end the conversation

938
00:59:42.119 --> 00:59:44.840
<v Speaker 2>right there, because you did such a beautiful job of

939
00:59:44.920 --> 00:59:47.679
<v Speaker 2>introducing us to the concept of picking a few examples

940
00:59:47.719 --> 00:59:51.400
<v Speaker 2>throughout history and then closing with this this beautiful message

941
00:59:51.400 --> 00:59:54.280
<v Speaker 2>of hope. And yet I am not every other podcast,

942
00:59:55.599 --> 00:59:59.320
<v Speaker 2>and I cannot help but like it's been boring into

943
00:59:59.360 --> 01:00:02.039
<v Speaker 2>my brain the whole time we've been talking. You mentioned,

944
01:00:02.079 --> 01:00:05.480
<v Speaker 2>you know, this approach where capitalism is underlying a lot

945
01:00:05.480 --> 01:00:07.000
<v Speaker 2>of it, but you don't want it to be the

946
01:00:07.119 --> 01:00:10.000
<v Speaker 2>end all and sort of the overall concept. We've talked

947
01:00:10.000 --> 01:00:13.079
<v Speaker 2>about this sort of the intersectional nature of colonialism and

948
01:00:13.119 --> 01:00:16.440
<v Speaker 2>of all of these kind of variables that underlie this

949
01:00:17.400 --> 01:00:21.400
<v Speaker 2>long story of data and information and power. And yet

950
01:00:21.719 --> 01:00:24.639
<v Speaker 2>I cannot help but keep going back in my mind

951
01:00:24.760 --> 01:00:26.840
<v Speaker 2>to my interviews that have done his on the show

952
01:00:26.880 --> 01:00:32.119
<v Speaker 2>before with Angela Sani and her work, both her books

953
01:00:32.199 --> 01:00:37.599
<v Speaker 2>Inferior and Superior, Sure, but specifically her book The Patriarchs,

954
01:00:38.440 --> 01:00:43.880
<v Speaker 2>about the rise of kind of the ruling male class

955
01:00:44.079 --> 01:00:50.599
<v Speaker 2>and how it's situated back in these early attempts to

956
01:00:50.719 --> 01:00:55.519
<v Speaker 2>record data and to pass on wealth. Right, this is yours,

957
01:00:55.519 --> 01:00:59.119
<v Speaker 2>this is mine, who owns that piece? And while there

958
01:00:59.119 --> 01:01:03.360
<v Speaker 2>have been matriline societies that she points to, we saw

959
01:01:03.400 --> 01:01:08.800
<v Speaker 2>a huge shift into patrilineal property ownership and spreading, and

960
01:01:09.639 --> 01:01:13.039
<v Speaker 2>I don't and we've have small examples of matriarchs, but honestly,

961
01:01:13.920 --> 01:01:17.119
<v Speaker 2>I can't point to a single time in history where

962
01:01:17.719 --> 01:01:21.039
<v Speaker 2>the dominant power structure was held by women, And I

963
01:01:21.239 --> 01:01:24.639
<v Speaker 2>just cannot help, And it's my cynicism and my feminist

964
01:01:25.000 --> 01:01:26.360
<v Speaker 2>ideals here, I.

965
01:01:26.480 --> 01:01:30.320
<v Speaker 4>Just cannot help. But wonder what would all of this

966
01:01:30.440 --> 01:01:30.960
<v Speaker 4>look like.

967
01:01:32.440 --> 01:01:36.400
<v Speaker 2>If all the way at the beginning, that early decision

968
01:01:36.400 --> 01:01:39.840
<v Speaker 2>making around power, however it came to be, was shifted

969
01:01:39.840 --> 01:01:43.639
<v Speaker 2>in the other direction. Would women have just become men

970
01:01:43.840 --> 01:01:49.320
<v Speaker 2>like or would everything we're talking about be wildly different.

971
01:01:51.079 --> 01:01:54.880
<v Speaker 3>It's also great thought experiment because, of course, immediately I

972
01:01:54.920 --> 01:01:58.199
<v Speaker 3>want to say Margaret Thatcher, but then one argues that

973
01:01:58.280 --> 01:02:02.159
<v Speaker 3>we had Margaret Thatcher precisely because.

974
01:02:01.840 --> 01:02:05.440
<v Speaker 2>Because of men, exactly because the only way to play

975
01:02:05.480 --> 01:02:07.039
<v Speaker 2>with the boys is to become one of the boys,

976
01:02:07.119 --> 01:02:10.440
<v Speaker 2>or even more of a boy than the rest of them. Yeah,

977
01:02:10.480 --> 01:02:13.000
<v Speaker 2>and we see that a lot with women in positions

978
01:02:13.000 --> 01:02:16.440
<v Speaker 2>of power in male dominant fields. Sure like the most

979
01:02:16.719 --> 01:02:20.320
<v Speaker 2>violent and aggressive in their approach because they have to be.

980
01:02:22.360 --> 01:02:26.440
<v Speaker 3>They absolutely do. And it always makes me think of how,

981
01:02:26.840 --> 01:02:29.960
<v Speaker 3>you know, there are some women that one encounters in

982
01:02:30.000 --> 01:02:33.400
<v Speaker 3>the workplace who are you know, senior to you, who

983
01:02:33.639 --> 01:02:37.960
<v Speaker 3>they're either the kind who think I went through this

984
01:02:38.000 --> 01:02:40.440
<v Speaker 3>horrible experience to get where I got to and therefore

985
01:02:40.480 --> 01:02:43.559
<v Speaker 3>you must too, or the ones who think I went

986
01:02:43.599 --> 01:02:45.480
<v Speaker 3>through it and therefore I want to make it better

987
01:02:45.519 --> 01:02:48.519
<v Speaker 3>for you so you don't have to. And those are

988
01:02:48.559 --> 01:02:50.199
<v Speaker 3>the people I wish would have been in power in

989
01:02:50.239 --> 01:02:51.039
<v Speaker 3>ancient MESSI.

990
01:02:50.840 --> 01:02:54.119
<v Speaker 2>Betaia say, say, those are the people I wish were

991
01:02:54.159 --> 01:02:57.719
<v Speaker 2>in power now, and I just it's You're right. All

992
01:02:57.760 --> 01:03:00.599
<v Speaker 2>it can be is a thought experiment, but I just

993
01:03:00.719 --> 01:03:04.559
<v Speaker 2>can't help. It's the water, because the patriarchy is the

994
01:03:04.559 --> 01:03:07.360
<v Speaker 2>water we swim in. I can't help but always want

995
01:03:07.400 --> 01:03:13.559
<v Speaker 2>to point out that these conversations about power throughout human

996
01:03:13.679 --> 01:03:19.159
<v Speaker 2>history also can't be separated from conversations about gender inequity

997
01:03:20.400 --> 01:03:22.800
<v Speaker 2>because it's you know, it's like when we talk about

998
01:03:22.840 --> 01:03:26.559
<v Speaker 2>violent crime and people are talking about like predictive value

999
01:03:26.960 --> 01:03:29.679
<v Speaker 2>of violent crime in this area versus that area, and okay,

1000
01:03:29.760 --> 01:03:30.760
<v Speaker 2>is it the amount of guns?

1001
01:03:30.800 --> 01:03:30.960
<v Speaker 3>Is it?

1002
01:03:30.960 --> 01:03:32.559
<v Speaker 4>The amount of poverty? Is it, the amount of drugs?

1003
01:03:32.639 --> 01:03:33.519
<v Speaker 4>Is it the amount of whatever?

1004
01:03:34.840 --> 01:03:41.559
<v Speaker 2>The most predictive variable is maleness, but by and large,

1005
01:03:41.639 --> 01:03:45.000
<v Speaker 2>over anything else, it is so much more predictive, but

1006
01:03:45.079 --> 01:03:47.199
<v Speaker 2>we just leave it out of the formula because it's

1007
01:03:47.280 --> 01:03:49.280
<v Speaker 2>so obvious.

1008
01:03:49.880 --> 01:03:51.880
<v Speaker 3>It's true, and one of the things I really took

1009
01:03:51.960 --> 01:03:54.400
<v Speaker 3>a lot of care to try to do is to

1010
01:03:54.480 --> 01:03:58.760
<v Speaker 3>not have this book be yet another book of great men.

1011
01:03:59.559 --> 01:04:00.559
<v Speaker 3>And it's it's.

1012
01:04:00.400 --> 01:04:04.599
<v Speaker 2>Really hard because or men great.

1013
01:04:05.360 --> 01:04:09.239
<v Speaker 3>Yeah, exactly, it is a book. Ye, so many of

1014
01:04:09.239 --> 01:04:11.719
<v Speaker 3>them were men. You know. There is this one example

1015
01:04:11.760 --> 01:04:13.719
<v Speaker 3>that I'm thinking of that I didn't end up leaving

1016
01:04:13.719 --> 01:04:15.719
<v Speaker 3>in the book because there were just too there were

1017
01:04:15.760 --> 01:04:19.800
<v Speaker 3>too many examples. So a woman named tin Hannan who

1018
01:04:20.800 --> 01:04:25.960
<v Speaker 3>was essentially a leader of a group of Berbers around

1019
01:04:26.000 --> 01:04:32.159
<v Speaker 3>the beginning of the Common Era, and she this origin

1020
01:04:32.239 --> 01:04:36.360
<v Speaker 3>story is vague, but it's it comes out of the

1021
01:04:36.360 --> 01:04:42.199
<v Speaker 3>Berber legends of people who's still still you know, the

1022
01:04:42.239 --> 01:04:45.719
<v Speaker 3>culture community still exists, and in their legends she is

1023
01:04:45.760 --> 01:04:50.119
<v Speaker 3>sort of their great you know, matriarch. And she came

1024
01:04:51.480 --> 01:04:56.199
<v Speaker 3>kind of walking on a riding a horse and walking

1025
01:04:56.320 --> 01:05:00.480
<v Speaker 3>with her servant one day. She came from a family

1026
01:05:00.480 --> 01:05:04.920
<v Speaker 3>in the mountains and ended up you know, in the

1027
01:05:06.039 --> 01:05:12.960
<v Speaker 3>Suahelle and attracting groups of the nomadic people and doing so,

1028
01:05:13.320 --> 01:05:17.119
<v Speaker 3>you know, because of her knowledge of the earth, of

1029
01:05:17.159 --> 01:05:20.119
<v Speaker 3>her wisdom, her ability to figure out how to find water,

1030
01:05:21.039 --> 01:05:26.840
<v Speaker 3>and none of the none of the kinds of the

1031
01:05:26.880 --> 01:05:28.639
<v Speaker 3>other A lot of the other women I would encounter

1032
01:05:28.719 --> 01:05:33.280
<v Speaker 3>were always sort of mimicking the male model of gaining power. Yeah,

1033
01:05:33.519 --> 01:05:36.920
<v Speaker 3>and she wasn't right. It was a very very different approach.

1034
01:05:37.079 --> 01:05:41.199
<v Speaker 3>And I mean, I are one could argue, you know,

1035
01:05:42.039 --> 01:05:45.440
<v Speaker 3>it is sort of essentializing gender to say that the

1036
01:05:45.519 --> 01:05:48.880
<v Speaker 3>women who adopted a so called like sort of male

1037
01:05:48.960 --> 01:05:53.199
<v Speaker 3>model were doing that as opposed to you know, one

1038
01:05:53.239 --> 01:05:56.840
<v Speaker 3>can you know, be expressed female power in all kinds

1039
01:05:56.880 --> 01:06:00.800
<v Speaker 3>of ways. But this absolutely strike me to think that,

1040
01:06:01.239 --> 01:06:04.039
<v Speaker 3>you know, in an example like the one of Tin Hinnan,

1041
01:06:05.239 --> 01:06:09.719
<v Speaker 3>which is you know, happening outside of, say, the context

1042
01:06:09.800 --> 01:06:13.159
<v Speaker 3>of the Roman Empire, which is also happening at the time,

1043
01:06:14.719 --> 01:06:17.679
<v Speaker 3>somebody was saying things could be different, and that was

1044
01:06:17.760 --> 01:06:19.039
<v Speaker 3>a woman, right.

1045
01:06:20.320 --> 01:06:22.599
<v Speaker 4>I want you to write that book.

1046
01:06:24.280 --> 01:06:28.400
<v Speaker 2>Next project. I would love to learn more about her.

1047
01:06:28.400 --> 01:06:32.719
<v Speaker 2>She sounds absolutely fascinating. But first, everybody, you got to

1048
01:06:32.719 --> 01:06:35.199
<v Speaker 2>dig through this one because there's so much good stuff

1049
01:06:35.239 --> 01:06:37.920
<v Speaker 2>in here. We didn't even get We didn't even remotely,

1050
01:06:38.639 --> 01:06:39.800
<v Speaker 2>not that we didn't get to all of it, we

1051
01:06:40.079 --> 01:06:43.280
<v Speaker 2>barely got to any of it. But unfortunately we can't

1052
01:06:43.360 --> 01:06:45.679
<v Speaker 2>keep talking all all day long. But this has been

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01:06:45.679 --> 01:06:48.039
<v Speaker 2>such a fascinating chat. I would love to have you

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01:06:48.679 --> 01:06:50.800
<v Speaker 2>back on the show at some point because I just

1055
01:06:50.840 --> 01:06:52.440
<v Speaker 2>really enjoyed it and I learned so much.

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01:06:52.920 --> 01:06:54.960
<v Speaker 3>This is so much fun, and likewise, I would love

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01:06:55.000 --> 01:06:55.920
<v Speaker 3>to talk to you forever.

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01:06:56.440 --> 01:06:57.480
<v Speaker 4>Yay everybody.

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01:06:57.519 --> 01:07:02.199
<v Speaker 2>The book is Data Empire The Power of Information to Organize,

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01:07:02.239 --> 01:07:08.719
<v Speaker 2>control and Dominate by doctor Rupica Rissom and everybody listening.

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<v Speaker 2>Thank you for coming back week after week. I'm really

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01:07:12.239 --> 01:07:14.679
<v Speaker 2>looking forward to the next time we all get together

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<v Speaker 2>to talk nerdy
