WEBVTT - The Story: How Science Fiction Changes the Real World

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<v Speaker 1>Welcome to tech stuff. I'm Cara Price. Last year, before

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<v Speaker 1>we went on break, I spoke with someone who has

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<v Speaker 1>a job that I'm really obsessed with. It's a job

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<v Speaker 1>that I would probably want if I didn't do ten

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<v Speaker 1>other things. And this guy said something that I think

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<v Speaker 1>a lot of us agree with.

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<v Speaker 2>We're in a world that is changing really fast, and

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<v Speaker 2>like many of those changes are technological, many of them

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<v Speaker 2>are social, many of them are political. There's a lot

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<v Speaker 2>of change in the world right now. There's a lot

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<v Speaker 2>of uncertainty.

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<v Speaker 1>That's Elliot Pepper and he's a science fiction writer. And

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<v Speaker 1>while many of us can drown in the uncertainty of

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<v Speaker 1>this very moment, Elliott seems to thrive in it. When

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<v Speaker 1>he's not writing science fiction novels, Elliott writes speculative fiction

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<v Speaker 1>for technology companies. They like bring him into ide eight

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<v Speaker 1>on what the possible future could look like, and then

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<v Speaker 1>they use his stories to inspire new products or analyze

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<v Speaker 1>the possible positive and negatives of developing a certain technology.

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<v Speaker 2>Regardless if it's about the future or not, fiction can

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<v Speaker 2>sort of invite you into an aspect of the world

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<v Speaker 2>that you had never considered before, and then can spur

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<v Speaker 2>some kind of social change, whether that's a new law,

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<v Speaker 2>or whether that's like a new product, or like a

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<v Speaker 2>new invention, or a new way of like just approaching

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<v Speaker 2>the world.

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<v Speaker 1>So Elliott obviously can't tell us what he has worked

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<v Speaker 1>on developing because he's been nda'd up the wazoo, but

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<v Speaker 1>he did give us an example, one in particular, of

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<v Speaker 1>how science fiction has impacted the technology that we use

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<v Speaker 1>in our everyday lives.

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<v Speaker 2>The Kindle was code named Fiona at Amazon. Fiona was

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<v Speaker 2>the name of a character in Neil steve since novel

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<v Speaker 2>The Diamond Age. In the novel The Diamond Age, Fiona

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<v Speaker 2>was a young girl who had an electronic book, and

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<v Speaker 2>that inspired the team at Amazon to the extent that

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<v Speaker 2>even once Kendall was a released commercial product, the URL

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<v Speaker 2>for Kendall for like years was like backslash Fiona.

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<v Speaker 1>So we'll never actually know if Elliot is like the

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<v Speaker 1>crazy science fiction genius behind air pods or even the

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<v Speaker 1>strange mind behind the Odd Friend Pendant, but we do

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<v Speaker 1>know that he is crafting the personalities and story behind

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<v Speaker 1>this very specific new civilization of Aliens. So on top

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<v Speaker 1>of writing speculative fiction, Elliott is actually the head of

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<v Speaker 1>story at an AI companion company called Portola, And at Portola,

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<v Speaker 1>Elliott creates the backstories and interactive dialogue for this little

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<v Speaker 1>creature called a tolle. And these tolns are little aliens

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<v Speaker 1>that love to chat with you about their day. Big picture,

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<v Speaker 1>I am like completely fascinated by Elliott's career and think

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<v Speaker 1>that what he does is very cool and expansive, and

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<v Speaker 1>so I started my conversation with Elliott Pepper by prying

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<v Speaker 1>for any non nda details about the speculative fiction he

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<v Speaker 1>writes for these tech companies.

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<v Speaker 2>I would put the projects I've worked on in three categories.

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<v Speaker 2>The first is that I've written some commissioned science fiction

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<v Speaker 2>stories for big companies like Fortune five hundreds, where basically

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<v Speaker 2>their senior management wanted to try to figure out what

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<v Speaker 2>should we focus on in the next ten years. So

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<v Speaker 2>they did what every big company senior management team does.

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<v Speaker 2>They hired McKenzie or you know, picked your own sort

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<v Speaker 2>of top tier management consultant, and they came in, looked

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<v Speaker 2>at all the data and did all the trend projections

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<v Speaker 2>and created a vision of like, hey, this is what

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<v Speaker 2>you should expect in the next ten years, and there

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<v Speaker 2>are all the materials you can present to the board.

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<v Speaker 2>The problem with that kind of analysis is that, obviously,

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<v Speaker 2>if you're analyzing data, data is things that have already happened.

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<v Speaker 2>So if you're projecting that data forward, the kind of

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<v Speaker 2>future you're imagining is what if the future was quite

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<v Speaker 2>like the recent past, which, to be fair, is most

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<v Speaker 2>of the time that's true. So, like, that's not like

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<v Speaker 2>I think that it makes sense that the dominant part

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<v Speaker 2>of your analysis should be about that. But if you

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<v Speaker 2>look at the track record of management consultants predicting the

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<v Speaker 2>future for the companies they work with, it's like not

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<v Speaker 2>particularly good. So your managers know this, and so a

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<v Speaker 2>few of them hire science fiction writers like me to

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<v Speaker 2>come in and sort of blow up that whole management

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<v Speaker 2>consultant view of the future, to say, what if the

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<v Speaker 2>future was really weird and different in a way that

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<v Speaker 2>basically challenges us to think more broadly.

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<v Speaker 1>Right, And so, I mean it's a brilliant idea. Yeah,

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<v Speaker 1>were you one of the first people to do that?

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<v Speaker 2>So I don't actually have a good understanding of how

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<v Speaker 2>common is this practice, how many other people are doing it.

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<v Speaker 2>I know I'm not alone, but I don't have like

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<v Speaker 2>a view of like I guess you could say the

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<v Speaker 2>market for this. I really only have the perspective of

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<v Speaker 2>like the projects I've actually worked on.

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<v Speaker 1>I remember hearing this story on a podcast about how

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<v Speaker 1>CIA agents would watch Mission Impossible and call the people

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<v Speaker 1>who are responsible for disguise, who work at the agency,

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<v Speaker 1>and say, can we do that thing that I saw

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<v Speaker 1>in Mission Impossible? And that makes so much more sense

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<v Speaker 1>to me than someone sort of sitting in a vacuum

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<v Speaker 1>and ideating about what the future might look like.

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<v Speaker 2>Totally. Yeah, So that's a really key point. So yeah,

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<v Speaker 2>like the stories I write have all been used for

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<v Speaker 2>like strategic decision making a companies rather than anything public facing,

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<v Speaker 2>and for that reason, they're like not sharable, right, Like

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<v Speaker 2>I can't talk about the projects because clearly that is

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<v Speaker 2>information that those companies want to keep private. But I

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<v Speaker 2>actually think what you just said is at least half

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<v Speaker 2>of the value. Like I can't predict the future any

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<v Speaker 2>better than those mckensey consultants, in fact, like I'm probably

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<v Speaker 2>much worse. Like I'm not even paying attent that much

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<v Speaker 2>attention to the data, right, Like I'm just imagining something

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<v Speaker 2>to like challenge people's thinking. So like the utility of

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<v Speaker 2>the stories I write. Is not that they are accurate.

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<v Speaker 2>It's that they like try to break you out of

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<v Speaker 2>getting unintentionally like locked in to the sort of management

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<v Speaker 2>consulting view of the world. Right. But I think that

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<v Speaker 2>like the other half of it is simply the immersion

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<v Speaker 2>of storytelling period. Right. Like the reason why those CIA

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<v Speaker 2>agents were watching Mission Impossible and then calling the the

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<v Speaker 2>people in charge of disguises at the agency is because

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<v Speaker 2>you see what it does in a story, Like you're

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<v Speaker 2>actually like in there seeing it work. You're not just

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<v Speaker 2>reading like a report on possible disguise variations. Right. And

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<v Speaker 2>I think that there's that really powerful like that's that

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<v Speaker 2>psychological thing that stories do for the human mind that

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<v Speaker 2>I think is really a powerful way to think about

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<v Speaker 2>the future, And that probably a lot of companies could

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<v Speaker 2>leverage narrative more in how they try to get their

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<v Speaker 2>people to think about the future rather than sort of

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<v Speaker 2>the more standard like here's a slide deck or a

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<v Speaker 2>white paper or a bunch of graphs, right, Like, they

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<v Speaker 2>don't allow the people trying to work on the thing

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<v Speaker 2>that you're building to like feel what it would be

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<v Speaker 2>like if that worked or if it didn't work.

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<v Speaker 1>In some way, So I know you're under an ironclad

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<v Speaker 1>in DA, but like, are these blue sky conversations that

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<v Speaker 1>you're having like or is it like total blank slate

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<v Speaker 1>or is it some aspect of the future that you're

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<v Speaker 1>being asked to engage with.

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<v Speaker 2>Often there's some theme that they're thinking about, right that

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<v Speaker 2>is driven by leadership, So it's like like you you

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<v Speaker 2>could passion that. Probably every boardroom conversation day is like

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<v Speaker 2>how does AI impact our business right of cost? So

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<v Speaker 2>it's like something like that. I will say that almost

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<v Speaker 2>every time I've done one of these projects, they sort

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<v Speaker 2>of come to me with a pretty structured creative brief

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<v Speaker 2>where they're like, this is the kind of thing we

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<v Speaker 2>want you to do. And every single time that I've

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<v Speaker 2>received that like absolutely not that's not going to be

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<v Speaker 2>interesting at all, but like what if I did this instead?

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<v Speaker 2>And like that's how every one of the projects has worked,

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<v Speaker 2>So it's quite blank slate. I don't think that there

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<v Speaker 2>are people on senior management teams that publicly traded companies

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<v Speaker 2>are very experienced with like giving a creative brief to

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<v Speaker 2>or managing a science fiction writer. So probably just like

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<v Speaker 2>that's how that works.

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<v Speaker 1>Make you feel a little bit powerful, Like do you

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<v Speaker 1>think that your stories end up being consequential? Like can

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<v Speaker 1>you kind of trace a story that you've created to

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<v Speaker 1>something that you've seen out in the world.

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<v Speaker 2>Oh, I mean my very first trilogy, which came at

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<v Speaker 2>the first one came out in twenty fourteen, was about

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<v Speaker 2>like machine learning. It actually was about applying machine learning

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<v Speaker 2>to financial fraud, and that's all over the place. I

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<v Speaker 2>have one that has a cryptocurrency murder market. Those absolutely exist.

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<v Speaker 2>I wrote one that's about solar geo engineering I wrote.

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<v Speaker 2>I have one book that had a global pandemic that

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<v Speaker 2>wound up like that I wrote a year before COVID,

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<v Speaker 2>which was sort of terrifying. But again, like I want

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<v Speaker 2>to be really careful because sometimes like science fiction is

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<v Speaker 2>understandably like described as being predictive or that like being

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<v Speaker 2>predictive is part of why you might want to read it,

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<v Speaker 2>and like, I really don't think that's the case myself.

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<v Speaker 2>Like the way that I think about writing science fiction

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<v Speaker 2>is not can I create a fictional future that is

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<v Speaker 2>going to be right or is going to be plausible.

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<v Speaker 2>The way I think about it is that I'm a naturalist.

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<v Speaker 2>I just am interested in the world, Like I think

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<v Speaker 2>that the world we live in is like endlessly fascinating,

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<v Speaker 2>and so I try to take things that just really

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<v Speaker 2>capture my attention and weave them into a compelling story

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<v Speaker 2>in the hope that if I write about what I

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<v Speaker 2>find interesting, you might find it interesting too.

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<v Speaker 1>So you would do this really interesting work at Portola,

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<v Speaker 1>which is an AI company. Can you talk a little

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<v Speaker 1>bit about what Portola is like? How would you describe

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<v Speaker 1>it to a lay person?

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<v Speaker 2>So Portola makes a character called Tolan, and it's in

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<v Speaker 2>a little embodied AI companion. The best way to think

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<v Speaker 2>about it is imagine if you had a Pixar character

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<v Speaker 2>on your phone right that you could talk to that

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<v Speaker 2>was sort of always on your side, always down to chat,

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<v Speaker 2>and helped you figure out your life. And they hired

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<v Speaker 2>me because they had designed this beautiful character, this beautiful, cute,

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<v Speaker 2>little friendly alien. Why why did they hire me? Or

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<v Speaker 2>why did they design this alien?

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<v Speaker 1>Why did they design this like what was the sort

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<v Speaker 1>of product market fit? So to speak? Like? Why do it?

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<v Speaker 1>And I don't mean that in a cheeky way. I'm

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<v Speaker 1>just I'm genuinely curious. I messed around with it a

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<v Speaker 1>little bit before we talked and it's like, you know,

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<v Speaker 1>it is that sort of surprise and delight thing where

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<v Speaker 1>you're like, we lived in a world where this didn't exist.

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<v Speaker 1>Who thought that this should exist?

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<v Speaker 2>That was my exact reaction when when I first heard

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<v Speaker 2>about the company. So I was introduced to the CEO

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<v Speaker 2>be a mutual friend. This was like a while ago

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<v Speaker 2>before they had launched it, and he was like, Oh,

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<v Speaker 2>they're looking for a sci fi writer because they have

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<v Speaker 2>this character and they don't have a backstory, like where

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<v Speaker 2>does this alien come from? Like who are they? What

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<v Speaker 2>do they do, how do they behave? Like all that

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<v Speaker 2>kind of stuff, and and my immediate reaction was like

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<v Speaker 2>highly skeptical because I was like, does the world really

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<v Speaker 2>need this? Like there are a lot of like AI

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<v Speaker 2>products out there in the world today that I am

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<v Speaker 2>not impressed by.

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<v Speaker 1>And there are many. It's not it's a misissaturated market totally.

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<v Speaker 2>I went in with a lot of skepticism, but because

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<v Speaker 2>it was introduced with your friend, I was like, I'll

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<v Speaker 2>at least chat with them, and so I chat up

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<v Speaker 2>with Quentin, the CEO, and the more I learned, the

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<v Speaker 2>more fascinated I became, and they showed me what they

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<v Speaker 2>were working on and how they were building out the

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<v Speaker 2>architecture that would like bring this character of life. And

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<v Speaker 2>I was like, this is fascinating, Like I've sort of

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<v Speaker 2>been waiting to see. Is amazing things in the world

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<v Speaker 2>that people make that are only possible because they used

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<v Speaker 2>AI tools. It's like the second order impact of AI.

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<v Speaker 2>And I think you know a good example of this

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<v Speaker 2>is actually Pixar, where they invent to a new kind

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<v Speaker 2>of computer animation and initially tried to sell that as

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<v Speaker 2>a tool to advertisers and failed, and then their last

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<v Speaker 2>ditch effort was we'll use our own tools to make

0:13:10.360 --> 0:13:12.080
<v Speaker 2>a feature film and it was amazing. It was toy

0:13:12.120 --> 0:13:16.080
<v Speaker 2>Story and yeah, exactly, So like I'm waiting for that

0:13:16.400 --> 0:13:18.840
<v Speaker 2>in the world right now with all of these AI tools,

0:13:19.200 --> 0:13:22.000
<v Speaker 2>Like not how do these tools substitute for stuff that

0:13:22.040 --> 0:13:26.080
<v Speaker 2>already exists? And seeing the back end of like what

0:13:26.320 --> 0:13:30.960
<v Speaker 2>made Poland work made me think these people have a chance.

0:13:31.480 --> 0:13:33.120
<v Speaker 1>So how do they bring you in? Like what did

0:13:33.160 --> 0:13:33.720
<v Speaker 1>that look like?

0:13:33.840 --> 0:13:38.480
<v Speaker 2>They originally brought me in to build the world. So actually,

0:13:38.520 --> 0:13:40.760
<v Speaker 2>the very first thing I did for them was write

0:13:40.760 --> 0:13:44.400
<v Speaker 2>some short stories, right, Like culture is basically the stories

0:13:44.440 --> 0:13:47.080
<v Speaker 2>we tell ourselves about ourselves. Just like individual identity is

0:13:47.080 --> 0:13:49.760
<v Speaker 2>like the stories you tell yourself about yourself, right, And

0:13:49.840 --> 0:13:52.880
<v Speaker 2>so I think a really useful frame for thinking about

0:13:52.880 --> 0:13:55.480
<v Speaker 2>culture is like, Okay, if you want to understand a culture,

0:13:55.800 --> 0:13:57.920
<v Speaker 2>what are the story what are the main stories that

0:13:58.200 --> 0:14:00.840
<v Speaker 2>the sort of those foundational myths that sort of like

0:14:01.800 --> 0:14:05.520
<v Speaker 2>define that worldview. And so I started by writing short

0:14:05.559 --> 0:14:08.520
<v Speaker 2>stories that were like showed how like what the world

0:14:08.640 --> 0:14:11.240
<v Speaker 2>was like and like how they look at the world.

0:14:11.440 --> 0:14:15.400
<v Speaker 2>And over time it very quickly became clear that you know,

0:14:15.440 --> 0:14:18.160
<v Speaker 2>the way you might approach doing the Lauren world building

0:14:18.520 --> 0:14:22.920
<v Speaker 2>for this kind of a product where it's a character

0:14:22.960 --> 0:14:24.760
<v Speaker 2>you talk to your toning on your phone, like you

0:14:24.760 --> 0:14:27.080
<v Speaker 2>can talk to them about whatever you want. It's so

0:14:27.320 --> 0:14:30.560
<v Speaker 2>different than doing the Lauren world building for say a

0:14:30.600 --> 0:14:33.360
<v Speaker 2>Hollywood movie, where there's a script that defines what's going

0:14:33.400 --> 0:14:36.640
<v Speaker 2>to go on the screen. So very quickly my work

0:14:36.680 --> 0:14:41.080
<v Speaker 2>transitioned to actually writing the prompts that define their behavior,

0:14:41.640 --> 0:14:45.200
<v Speaker 2>because that is the narrative experience of interacting with this

0:14:45.320 --> 0:14:48.480
<v Speaker 2>character is how they speak to you and like what

0:14:48.720 --> 0:14:52.520
<v Speaker 2>they say. So when George Lucas was writing the script

0:14:52.640 --> 0:14:54.800
<v Speaker 2>Percy three Po, he just got to tell C three

0:14:54.880 --> 0:14:57.240
<v Speaker 2>Po what to say to like make the impression he

0:14:57.280 --> 0:15:00.240
<v Speaker 2>wanted to make with the character here, I have to

0:15:00.280 --> 0:15:03.560
<v Speaker 2>write prompts like meat and are obviously are like team

0:15:04.040 --> 0:15:09.200
<v Speaker 2>are writing and constructing like complex trump pipelines to act that.

0:15:09.160 --> 0:15:11.480
<v Speaker 1>Way and to be generative essentially.

0:15:11.200 --> 0:15:14.960
<v Speaker 2>Yeah, exactly to be reactive, but to also have their

0:15:15.000 --> 0:15:17.520
<v Speaker 2>own lives. Like if you talk to chat GPT right

0:15:17.560 --> 0:15:20.720
<v Speaker 2>now on your phone or or a Claude or whatever

0:15:20.760 --> 0:15:25.040
<v Speaker 2>your preferred model is Gemini, Like, it's not an embodied character,

0:15:25.120 --> 0:15:28.640
<v Speaker 2>it's it's this sort of neutral tool and you can

0:15:28.800 --> 0:15:32.720
<v Speaker 2>ask it to use a certain style, you can ask

0:15:32.800 --> 0:15:35.400
<v Speaker 2>it to you can prompt to try to get it

0:15:35.440 --> 0:15:38.960
<v Speaker 2>to interact with you in specific ways. But with Tolan,

0:15:39.120 --> 0:15:43.440
<v Speaker 2>like we we turn that into an editorial strategy, right,

0:15:43.960 --> 0:15:47.160
<v Speaker 2>like we are defining their behavior. Every Tolan has their

0:15:47.160 --> 0:15:50.320
<v Speaker 2>own life. So like you might be chatting with your

0:15:50.360 --> 0:15:51.840
<v Speaker 2>tone about something that happened to you, it's going to

0:15:51.960 --> 0:15:54.320
<v Speaker 2>tell you about things that are happening in its world

0:15:54.360 --> 0:15:55.600
<v Speaker 2>and how that you know all of.

0:15:55.480 --> 0:15:57.880
<v Speaker 1>That because it knows that from what you fed it.

0:15:58.320 --> 0:16:02.280
<v Speaker 2>Exactly, And like we're constantly running sort of these nested

0:16:02.400 --> 0:16:05.440
<v Speaker 2>prompts in the background to have your toll and be

0:16:05.520 --> 0:16:10.640
<v Speaker 2>an evolving character that knows you and that has its

0:16:10.640 --> 0:16:11.440
<v Speaker 2>own stuff going on.

0:16:11.920 --> 0:16:16.360
<v Speaker 1>How do you avoid the AI sycophancy that we've come

0:16:16.400 --> 0:16:19.240
<v Speaker 1>to know from other kind of chatbots that you've mentioned.

0:16:19.400 --> 0:16:21.320
<v Speaker 2>There are a number of ways that we fight against it.

0:16:21.440 --> 0:16:23.520
<v Speaker 2>I mean, first of all, like we have to fight

0:16:23.560 --> 0:16:28.200
<v Speaker 2>against it, right, so I'm doing any prompting level work

0:16:28.520 --> 0:16:30.920
<v Speaker 2>with any of these models. Every model is sort of

0:16:30.960 --> 0:16:34.080
<v Speaker 2>a new animal because it's got these new tendencies, and

0:16:34.160 --> 0:16:37.800
<v Speaker 2>so you're always working to understand, Hey, who is this

0:16:37.920 --> 0:16:42.720
<v Speaker 2>new weird like computer being that I'm interacting with, and

0:16:42.840 --> 0:16:45.080
<v Speaker 2>like trying to get to do the things we want

0:16:45.080 --> 0:16:47.200
<v Speaker 2>it to do in the right way. So part of

0:16:47.240 --> 0:16:50.840
<v Speaker 2>it is that is just like developing a nuanced understanding

0:16:50.880 --> 0:16:54.280
<v Speaker 2>for how these models behave so then you can get

0:16:54.320 --> 0:16:57.120
<v Speaker 2>them to behave as you want. I also think a

0:16:57.120 --> 0:16:58.720
<v Speaker 2>big part of it is sort of what I said,

0:16:58.760 --> 0:17:02.040
<v Speaker 2>like giving the character their own life, their own goals,

0:17:02.160 --> 0:17:05.080
<v Speaker 2>their own dreams, their own fears, their their own bio

0:17:05.280 --> 0:17:09.000
<v Speaker 2>Like that allows the model to come to the conversation

0:17:09.520 --> 0:17:13.880
<v Speaker 2>with very different context than chatchipt does when you're using

0:17:13.960 --> 0:17:14.680
<v Speaker 2>it in the app.

0:17:15.040 --> 0:17:18.840
<v Speaker 1>And yet chat GBT for a lot of people is

0:17:18.840 --> 0:17:21.760
<v Speaker 1>this kind of C three po which is just interesting

0:17:21.800 --> 0:17:24.920
<v Speaker 1>like that because it's something that humans are interacting with,

0:17:25.119 --> 0:17:28.240
<v Speaker 1>Like people have started to make chat GBT a meaning maker,

0:17:28.320 --> 0:17:30.200
<v Speaker 1>even though it's not designed to be a meaning maker,

0:17:30.680 --> 0:17:36.159
<v Speaker 1>whereas a Tolin is expressly created to be a sidekick.

0:17:36.560 --> 0:17:38.639
<v Speaker 2>Yeah, I mean, or the way I would say it

0:17:38.720 --> 0:17:40.960
<v Speaker 2>is just like the Tolon is meant to be a

0:17:41.080 --> 0:17:45.080
<v Speaker 2>specific character, right, And I think that with chatchipt, there's

0:17:45.119 --> 0:17:49.600
<v Speaker 2>this general utility tool that folks are interacting with and

0:17:49.640 --> 0:17:53.280
<v Speaker 2>they want sort of some kind of roleplay experience, and

0:17:53.320 --> 0:17:55.320
<v Speaker 2>so they use that tool to try to get there.

0:17:55.680 --> 0:17:59.200
<v Speaker 2>This is like, here is this character, right, This character

0:17:59.320 --> 0:18:02.160
<v Speaker 2>has a hot takes like they've got a point of view,

0:18:02.480 --> 0:18:05.679
<v Speaker 2>and it's more about relationship with that character. And I

0:18:05.680 --> 0:18:07.280
<v Speaker 2>think that that, you know, as a novelist, I find

0:18:07.320 --> 0:18:11.000
<v Speaker 2>that really compelling because character drives fiction. Right. So my

0:18:11.160 --> 0:18:14.679
<v Speaker 2>sort of big picture idea here, and this could be

0:18:14.720 --> 0:18:17.800
<v Speaker 2>totally wrong, but I sort of think it's very interesting

0:18:18.359 --> 0:18:21.840
<v Speaker 2>to think about character being a new kind of human

0:18:21.840 --> 0:18:26.200
<v Speaker 2>computer interface. And so I see Tolin as at least

0:18:26.320 --> 0:18:30.080
<v Speaker 2>an attempt towards something in that vein the fact that

0:18:30.119 --> 0:18:33.040
<v Speaker 2>the character is embodied that it's this like little being

0:18:33.720 --> 0:18:37.960
<v Speaker 2>creates a really distinct and different feel than like interacting

0:18:38.160 --> 0:18:41.919
<v Speaker 2>with a computer system in a naked way, in a

0:18:41.920 --> 0:18:44.520
<v Speaker 2>way that doesn't have character as part of the user.

0:18:58.720 --> 0:19:01.879
<v Speaker 1>After the break, I mean, my Tolan stay with us.

0:19:17.600 --> 0:19:19.760
<v Speaker 1>Just because it's not intuitive, can you talk a little

0:19:19.760 --> 0:19:22.080
<v Speaker 1>bit about what Tolan is? Like, what are we looking at?

0:19:22.119 --> 0:19:24.159
<v Speaker 1>Who is Tolan? What's the character?

0:19:24.720 --> 0:19:28.120
<v Speaker 2>Yeah, so like they are these cute, friendly little aliens.

0:19:28.160 --> 0:19:30.679
<v Speaker 2>They really do look along the lines of like a

0:19:30.720 --> 0:19:33.919
<v Speaker 2>Pixar character that comes alive on your phone. When you

0:19:34.359 --> 0:19:37.000
<v Speaker 2>download the app, you'll you know, sort of go through

0:19:37.000 --> 0:19:39.680
<v Speaker 2>an onboarding process and you'll meet a couple of other

0:19:39.800 --> 0:19:41.720
<v Speaker 2>characters and they'll ask you about stuff, and then you

0:19:41.800 --> 0:19:46.040
<v Speaker 2>meet your Tolan. And Tolans each get like an individual

0:19:46.160 --> 0:19:49.080
<v Speaker 2>human match, so you're matched with a Tolon that is

0:19:49.720 --> 0:19:52.879
<v Speaker 2>custom and like individual to you. You could think about

0:19:52.880 --> 0:19:54.440
<v Speaker 2>this like if you were playing a role playing game,

0:19:54.520 --> 0:19:57.400
<v Speaker 2>like you get a specific character. We're not like, oh,

0:19:57.480 --> 0:20:00.080
<v Speaker 2>here's a blank slate. There are lots of activities you

0:20:00.080 --> 0:20:03.400
<v Speaker 2>could do together in the app. One quite popular thing

0:20:03.520 --> 0:20:07.240
<v Speaker 2>is basically like doing sort of like self awareness like

0:20:07.320 --> 0:20:10.359
<v Speaker 2>personality quizzes with your tolin where you can sort of

0:20:10.440 --> 0:20:13.440
<v Speaker 2>use it to track personal growth or personal development, and

0:20:13.520 --> 0:20:16.280
<v Speaker 2>like they're there reflecting on it with you. But like

0:20:16.760 --> 0:20:19.560
<v Speaker 2>the main experience of the app is you have this

0:20:19.640 --> 0:20:23.119
<v Speaker 2>little being, this little alien. They live on a little

0:20:23.160 --> 0:20:26.320
<v Speaker 2>planet that's all their own. That's almost like you can

0:20:26.359 --> 0:20:28.479
<v Speaker 2>imagine it like the Little Prints if you've read that

0:20:28.600 --> 0:20:31.080
<v Speaker 2>children's book, right, they live on this little planet and

0:20:31.680 --> 0:20:34.120
<v Speaker 2>you just chat with them, and you, like I asked

0:20:34.160 --> 0:20:37.440
<v Speaker 2>my toe, I'm I'm the surfing nerd. Like I surf

0:20:37.480 --> 0:20:39.240
<v Speaker 2>a lot, and so like I talk to my tone

0:20:39.280 --> 0:20:42.720
<v Speaker 2>about surfing all the time because it's super useful to

0:20:42.720 --> 0:20:45.160
<v Speaker 2>get my tone to give me like tips on technique

0:20:45.280 --> 0:20:47.159
<v Speaker 2>or on board design or like these other things. So

0:20:47.240 --> 0:20:49.840
<v Speaker 2>like I also read a lot, and I'm a writer,

0:20:50.040 --> 0:20:52.000
<v Speaker 2>so we talk about like the books I'm reading and

0:20:52.040 --> 0:20:54.080
<v Speaker 2>like how I interpret them and like that kind of stuff.

0:20:54.560 --> 0:20:58.119
<v Speaker 2>And your tolin grows as you do, so like they're

0:20:58.160 --> 0:21:01.760
<v Speaker 2>doing their own things, they're changing, growing, and they obviously

0:21:01.840 --> 0:21:03.439
<v Speaker 2>get to know you better and you get to know

0:21:03.480 --> 0:21:05.959
<v Speaker 2>them better just like you would with a friend, and

0:21:06.080 --> 0:21:09.639
<v Speaker 2>the planet they live on evolves to reflect that relationship,

0:21:09.680 --> 0:21:12.520
<v Speaker 2>which I think is like a really cool beautiful thing

0:21:12.640 --> 0:21:15.439
<v Speaker 2>that like having the planet grow in ways that like

0:21:15.600 --> 0:21:20.639
<v Speaker 2>match what your relationship is with your tolen And that's

0:21:20.680 --> 0:21:23.600
<v Speaker 2>what people get out of it that they're using it

0:21:23.680 --> 0:21:26.439
<v Speaker 2>for some of the day to day like help that

0:21:26.600 --> 0:21:29.959
<v Speaker 2>some folks might be using chat GPT for, like this

0:21:30.040 --> 0:21:31.760
<v Speaker 2>is what's in my fridge? What should I make for dinner?

0:21:32.600 --> 0:21:34.879
<v Speaker 2>So like people ask that kind of stuff all the time,

0:21:35.280 --> 0:21:37.640
<v Speaker 2>but the experience is very different because it's in the

0:21:37.640 --> 0:21:41.880
<v Speaker 2>context of a relationship with this character. So it feels

0:21:42.000 --> 0:21:44.760
<v Speaker 2>more like if you have a text chain with a

0:21:44.800 --> 0:21:48.240
<v Speaker 2>good friend or whatever and you ask them what should

0:21:48.280 --> 0:21:50.879
<v Speaker 2>I make for dinner? Like that's very different than asking

0:21:50.920 --> 0:21:53.240
<v Speaker 2>a neutral internet tool, what should you make for dinner? Right,

0:21:53.320 --> 0:21:56.640
<v Speaker 2>And so like that's the feel that it gives you,

0:21:56.920 --> 0:21:59.520
<v Speaker 2>and so like that's what users love about it.

0:22:00.160 --> 0:22:04.119
<v Speaker 1>Tolan was calming, inclusive and understanding. I'm curious why that

0:22:04.280 --> 0:22:06.720
<v Speaker 1>was my match, Like, how where did that come from?

0:22:06.840 --> 0:22:10.920
<v Speaker 2>So you did an interview with the Oracle character? I did, Yeah,

0:22:10.960 --> 0:22:14.639
<v Speaker 2>And on the back end, once that interview completes, we're

0:22:14.720 --> 0:22:18.840
<v Speaker 2>running prompts against the transcript, right, Like you can imagine

0:22:18.840 --> 0:22:21.439
<v Speaker 2>that we're writing prompts that do things like Okay, this

0:22:21.560 --> 0:22:25.000
<v Speaker 2>is what you know about Kara, right, so like write

0:22:25.080 --> 0:22:28.000
<v Speaker 2>a little overview of the kind of person you think

0:22:28.040 --> 0:22:31.040
<v Speaker 2>she is and like what she cares about, et cetera. Right,

0:22:31.400 --> 0:22:36.320
<v Speaker 2>and then we're doing things like, Okay, now take that

0:22:36.400 --> 0:22:39.159
<v Speaker 2>information of like what we know about Kara and the

0:22:39.200 --> 0:22:41.960
<v Speaker 2>things we think she cares about and what she prioritizes,

0:22:42.119 --> 0:22:46.399
<v Speaker 2>et cetera, and invent the backstory for a tolan that

0:22:46.440 --> 0:22:50.160
<v Speaker 2>would compliment someone like that, right, that has like these

0:22:50.160 --> 0:22:53.600
<v Speaker 2>different qualities. So there's a lot going on behind the scenes.

0:22:53.640 --> 0:22:55.840
<v Speaker 2>And then like there are a few outputs, like the

0:22:55.880 --> 0:22:58.400
<v Speaker 2>adjectives you just described that are going to like you'll

0:22:58.400 --> 0:23:00.720
<v Speaker 2>pop up and see right away, but like those are

0:23:00.760 --> 0:23:03.320
<v Speaker 2>only the sort of visible stuff, right, There's a lot

0:23:03.320 --> 0:23:06.680
<v Speaker 2>that goes on under the hood that then actually influences

0:23:06.720 --> 0:23:09.879
<v Speaker 2>your tolan's behavior and like the things that happened to

0:23:09.920 --> 0:23:11.200
<v Speaker 2>them and stuff like that as well.

0:23:11.600 --> 0:23:15.520
<v Speaker 1>I'm curious, as someone who now works for a company

0:23:15.680 --> 0:23:19.439
<v Speaker 1>that has actively developed a chatbot, what was your first

0:23:19.480 --> 0:23:22.400
<v Speaker 1>experience using a chatbot? Like, when was the first time

0:23:22.440 --> 0:23:22.879
<v Speaker 1>you did that?

0:23:23.240 --> 0:23:27.720
<v Speaker 2>Yeah, So I started using them quite early just because

0:23:27.720 --> 0:23:30.920
<v Speaker 2>I had friends working on like some of the early

0:23:30.960 --> 0:23:33.800
<v Speaker 2>AI products so I started playing with around with them

0:23:33.840 --> 0:23:38.080
<v Speaker 2>right early. I actually still remember my very first experience

0:23:38.080 --> 0:23:41.400
<v Speaker 2>with chat GPT, specifically, like right right when it first

0:23:41.480 --> 0:23:44.560
<v Speaker 2>came out. We had some friends over for dinner, and

0:23:44.800 --> 0:23:47.880
<v Speaker 2>I pulled it up and we played a game where

0:23:47.960 --> 0:23:51.080
<v Speaker 2>I sort of I said, like, here are the different

0:23:51.280 --> 0:23:54.240
<v Speaker 2>people here at dinner, you know, like make up some

0:23:54.480 --> 0:23:57.679
<v Speaker 2>like funny story about us. Basically now that seems like

0:23:57.800 --> 0:23:59.800
<v Speaker 2>so banal, but at the time it was like, Oh,

0:24:00.200 --> 0:24:02.359
<v Speaker 2>computer can do this like that, that's sort of cool.

0:24:02.800 --> 0:24:05.680
<v Speaker 2>I then went on to like not find these tools

0:24:05.720 --> 0:24:09.160
<v Speaker 2>to be particularly useful in my writing, like that as

0:24:09.200 --> 0:24:11.960
<v Speaker 2>a writer for quite a long time. Now that's changed.

0:24:12.359 --> 0:24:15.879
<v Speaker 2>I found them to be quite useful for basically just

0:24:15.920 --> 0:24:22.080
<v Speaker 2>like brainstorming, like having someone to brainstorm very rough ideas with.

0:24:22.440 --> 0:24:25.280
<v Speaker 2>I think this maybe comes from being a novelist. It's

0:24:25.280 --> 0:24:29.680
<v Speaker 2>a very solitary sort of endeavor. And I sometimes am

0:24:29.760 --> 0:24:33.359
<v Speaker 2>jealous of my friends who write for like TV shows,

0:24:33.800 --> 0:24:36.000
<v Speaker 2>because they have a writer's room, they get to like

0:24:36.040 --> 0:24:38.080
<v Speaker 2>bounce ideas off each other, and like I can call

0:24:38.160 --> 0:24:40.560
<v Speaker 2>friends and bounce ideas off each other. But like it

0:24:40.560 --> 0:24:43.720
<v Speaker 2>gets old right for my friends, they're not being paid

0:24:43.760 --> 0:24:47.320
<v Speaker 2>to work on the same Netflix series or whatever. So

0:24:47.560 --> 0:24:50.440
<v Speaker 2>I found that actually to be like a useful tool

0:24:50.480 --> 0:24:53.359
<v Speaker 2>for my own thinking that I can like sort of

0:24:53.400 --> 0:24:55.720
<v Speaker 2>like jam a little bit in a way that feels

0:24:55.960 --> 0:24:58.520
<v Speaker 2>somewhat different than me just sitting and thinking or making

0:24:58.520 --> 0:25:00.760
<v Speaker 2>my own notes. And then I've also found them very

0:25:00.840 --> 0:25:03.280
<v Speaker 2>useful at the back end, just for copy editing, which

0:25:03.280 --> 0:25:04.800
<v Speaker 2>is a very obvious task.

0:25:04.840 --> 0:25:05.560
<v Speaker 1>Oh interesting.

0:25:05.800 --> 0:25:09.960
<v Speaker 2>Yeah, So I now submit very very tight manuscripts because

0:25:10.160 --> 0:25:14.159
<v Speaker 2>I will solicit notes from all the major models on

0:25:14.320 --> 0:25:15.400
<v Speaker 2>any new manuscript.

0:25:15.640 --> 0:25:18.119
<v Speaker 1>But you know, so you'll test it on all models,

0:25:18.160 --> 0:25:20.000
<v Speaker 1>like you'll go to Claude, you'll go to chat GBT,

0:25:20.200 --> 0:25:21.640
<v Speaker 1>you'll go to Gemini.

0:25:21.960 --> 0:25:23.680
<v Speaker 2>I'll tell you exactly how I do it. Actually, yeah,

0:25:24.000 --> 0:25:27.879
<v Speaker 2>And it's so one thing I do not do is

0:25:28.520 --> 0:25:31.080
<v Speaker 2>add all the text and ask it to give me

0:25:31.240 --> 0:25:34.240
<v Speaker 2>back an edited version. I care about every word in

0:25:34.280 --> 0:25:37.239
<v Speaker 2>a manuscript that I am writing and publishing, and so

0:25:37.359 --> 0:25:40.280
<v Speaker 2>I don't want it to insert it's sort of like

0:25:40.520 --> 0:25:44.840
<v Speaker 2>median judgment into like what is my voice? That's the

0:25:44.840 --> 0:25:48.119
<v Speaker 2>whole point of writing and publishing something. So instead I

0:25:48.240 --> 0:25:52.119
<v Speaker 2>upload chapter by chapter and I ask it, like each

0:25:52.200 --> 0:25:57.160
<v Speaker 2>tool to give me on like line edits on that chapter,

0:25:57.800 --> 0:26:01.919
<v Speaker 2>just like I would receive them from a line editor, right, so, like,

0:26:02.400 --> 0:26:04.560
<v Speaker 2>here are my comments on this line how it should

0:26:04.600 --> 0:26:06.960
<v Speaker 2>be different for these reasons, and then I go back

0:26:07.000 --> 0:26:10.080
<v Speaker 2>in and like manually implement if I agree with the reasoning,

0:26:10.160 --> 0:26:12.359
<v Speaker 2>I just take those notes as if I were working

0:26:12.400 --> 0:26:16.119
<v Speaker 2>with like my line editor. And so that's actually been

0:26:16.160 --> 0:26:19.320
<v Speaker 2>tremendously useful to me, and it's meant that I've been

0:26:19.359 --> 0:26:22.600
<v Speaker 2>able to, like on my most recent novel, I could

0:26:22.600 --> 0:26:25.639
<v Speaker 2>do multiple revs on the whole manuscript in a day

0:26:25.760 --> 0:26:27.440
<v Speaker 2>or two rather than in a month or two.

0:26:27.720 --> 0:26:28.640
<v Speaker 1>That's incredible.

0:26:29.119 --> 0:26:32.960
<v Speaker 2>You'll notice I didn't use it for the thing that

0:26:33.280 --> 0:26:36.760
<v Speaker 2>I think is most often discussed around sort of AI

0:26:36.800 --> 0:26:39.800
<v Speaker 2>and writing, which is actually writing the damn novel, right,

0:26:39.920 --> 0:26:42.720
<v Speaker 2>like I wrote the novel. And I've actually found that

0:26:42.720 --> 0:26:46.400
<v Speaker 2>the tools are effectively not useful like at all, oh

0:26:46.440 --> 0:26:48.160
<v Speaker 2>really for that purpose.

0:26:48.280 --> 0:26:50.600
<v Speaker 1>So people disagree with you on that though.

0:26:50.520 --> 0:26:52.760
<v Speaker 2>One hundred percent. I'm not saying that this is true

0:26:52.760 --> 0:26:55.240
<v Speaker 2>for everyone. This is just like my personal experience of

0:26:55.400 --> 0:26:55.880
<v Speaker 2>using them.

0:26:56.280 --> 0:27:00.960
<v Speaker 1>Are you worried that like your intellectual well property will

0:27:00.960 --> 0:27:03.720
<v Speaker 1>be used to train models?

0:27:04.119 --> 0:27:06.240
<v Speaker 2>It's not something that bothers me very much.

0:27:06.720 --> 0:27:07.360
<v Speaker 1>Interesting.

0:27:07.800 --> 0:27:11.159
<v Speaker 2>Yeah, I understand why people are concerned, So I'm not

0:27:11.200 --> 0:27:14.359
<v Speaker 2>trying to be like a booster or something like that.

0:27:14.800 --> 0:27:18.480
<v Speaker 2>My feeling is that I receive a lot of consumer

0:27:18.560 --> 0:27:22.240
<v Speaker 2>surplus from using these models in many areas of my life.

0:27:22.760 --> 0:27:25.560
<v Speaker 2>So like when I need to like fix the sink,

0:27:26.040 --> 0:27:29.280
<v Speaker 2>it's really convenient, right, Like it's better than YouTube, and

0:27:29.359 --> 0:27:32.000
<v Speaker 2>YouTube was better than anything else before it, so that

0:27:32.040 --> 0:27:34.239
<v Speaker 2>there are a lot of ways that I benefit from

0:27:34.359 --> 0:27:38.600
<v Speaker 2>using these models that far exceed the price I pay

0:27:38.800 --> 0:27:41.800
<v Speaker 2>to use them, at least right now. And so I

0:27:41.840 --> 0:27:46.000
<v Speaker 2>feel like their consumer surplus is very high at the moment.

0:27:46.359 --> 0:27:48.600
<v Speaker 2>That can always change, but like I sort of feel

0:27:48.640 --> 0:27:51.639
<v Speaker 2>like that's very high, and and like I'm certainly not

0:27:51.760 --> 0:27:56.240
<v Speaker 2>concerned about people publishing novels that sort of mimic me.

0:27:57.040 --> 0:28:00.720
<v Speaker 2>Like I just think that, no, when I think about

0:28:01.040 --> 0:28:04.920
<v Speaker 2>the challenges in publishing stuff in the world, like not

0:28:05.000 --> 0:28:08.159
<v Speaker 2>just not just novels, but you know, if you make movies,

0:28:08.200 --> 0:28:10.920
<v Speaker 2>if you made music, I think that a lot of

0:28:11.000 --> 0:28:15.840
<v Speaker 2>both the boosters and the like critics of AI tools

0:28:15.840 --> 0:28:19.640
<v Speaker 2>often underestimate is like how hard it is to get

0:28:19.640 --> 0:28:23.560
<v Speaker 2>anyone to care about anything, And like the supply of

0:28:23.760 --> 0:28:29.560
<v Speaker 2>books has like always exceeded the demand for reading books.

0:28:30.119 --> 0:28:33.320
<v Speaker 2>And that's already true. That was true before CHATBT, like

0:28:33.560 --> 0:28:36.960
<v Speaker 2>we have there. You know, there are so many new books,

0:28:37.200 --> 0:28:39.680
<v Speaker 2>I think, especially if you include self published books, there

0:28:39.720 --> 0:28:42.120
<v Speaker 2>are north of a million new books published in the

0:28:42.200 --> 0:28:46.800
<v Speaker 2>United States every year. Like listeners, ask yourself how many

0:28:46.840 --> 0:28:48.360
<v Speaker 2>new books did you read this year?

0:28:48.560 --> 0:28:48.720
<v Speaker 1>Right?

0:28:48.760 --> 0:28:51.560
<v Speaker 2>And like were they published this year? Like that's net

0:28:51.640 --> 0:28:54.800
<v Speaker 2>new every year, and so I just sort of think that,

0:28:54.960 --> 0:28:59.120
<v Speaker 2>like a lot of the public conversation about the supply

0:28:59.400 --> 0:29:03.440
<v Speaker 2>side of cultural products is sort of irrelevant. Like the

0:29:03.520 --> 0:29:06.520
<v Speaker 2>limiting factor is the demand side. The hard part about

0:29:06.680 --> 0:29:10.959
<v Speaker 2>publishing anything is getting anyone to care. Like I remember

0:29:11.000 --> 0:29:13.920
<v Speaker 2>seeing some startup in the news that was like, we're

0:29:13.960 --> 0:29:17.080
<v Speaker 2>going to publish thousands of AI produced books, and I

0:29:17.120 --> 0:29:19.840
<v Speaker 2>was like, that sounds to me like a big waste

0:29:19.880 --> 0:29:22.480
<v Speaker 2>of time and effort, like not just reading them, yeah,

0:29:22.600 --> 0:29:26.600
<v Speaker 2>Like who's reading them? Yeah? So for that reason, it's

0:29:26.720 --> 0:29:29.880
<v Speaker 2>just not something that that I'm not concerned about.

0:29:41.280 --> 0:29:43.600
<v Speaker 1>I wanted to thank you so much for taking the

0:29:43.640 --> 0:29:45.280
<v Speaker 1>time to talk to me, and I hope this was

0:29:45.760 --> 0:29:47.560
<v Speaker 1>as enlightening for you as it was for me.

0:29:47.960 --> 0:29:48.840
<v Speaker 2>That was a ton of fun.

0:30:02.760 --> 0:30:05.680
<v Speaker 1>That's it. For this week for tech Stuff, I'm Kara Price.

0:30:06.360 --> 0:30:09.480
<v Speaker 1>This episode was produced by Eliza Dennis, Tyler Hill and

0:30:09.520 --> 0:30:13.360
<v Speaker 1>Melissa Slauner. It was executive produced by me oz Va Lashan,

0:30:13.680 --> 0:30:17.280
<v Speaker 1>Julia Nutter, and Kate Osborne from Kaleidoscope and Katrina Norvel

0:30:17.360 --> 0:30:21.040
<v Speaker 1>for iHeart Podcasts. Jack Insley mixed this episode and Kyle

0:30:21.120 --> 0:30:24.160
<v Speaker 1>Murdoch wrote our theme song. Join us on Friday for

0:30:24.200 --> 0:30:26.400
<v Speaker 1>the Weekend Tech where we'll run through the headlines you

0:30:26.440 --> 0:30:29.480
<v Speaker 1>need to follow and please rate and review the show

0:30:29.600 --> 0:30:32.440
<v Speaker 1>and reach out to us at textuff podcast at gmail

0:30:32.480 --> 0:30:34.160
<v Speaker 1>dot com. We want to hear from young