The Exchanges

Every argument clarity score on this site is built from rows on this page. Each question and answer was assessed with names hidden, the host's own answers included, on four things from 1 to 5: directness (does it answer the question asked), coherence (do the ideas follow), precision (concrete details and clear references), compression (says a lot per word). The weighted mix (30/30/25/15) is the exchange score. A person's published score averages their exchange scores on raw tape only, at least 8 of them, shrunk toward the cohort mean. Full method →

Eugenia Kuyda no published score: only 3 usable exchanges on raw tape, and a fair score needs 8+ · coarse estimate ≈4.5/5 from 3 raw tape exchanges record → ← everyone

Every exchange below was scored with names hidden, four dimensions each from 1 to 5. An exchange's score is 0.30·directness + 0.30·coherence + 0.25·precision + 0.15·compression. The published score averages the raw tape exchange scores and shrinks small samples toward the cohort mean, so five great answers can't beat twenty good ones. Produced feed rows count only toward coarse estimates, never toward a full score.

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Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q So Jenna, excited to get into everything you're doing with Wabi, but first let's contextualize this a little bit. When you look back at sort of the arc of, of your career, perhaps the last decade, how do you contextualize, what is the through line, you know, through replica, Wabi, et cetera?

A Oh, wow. That's a, um, that's a hard question, but I guess the, um, Maybe the main theme, uh, is we're always early, sometimes a little bit too early, sometimes, hopefully this time around, you know, or, uh, the right, the right kind of early, the right type of early, but generally, yeah, I've started, uh, working on AI in 2012, so over a decade ago, um, and was always fascinated by kind of the idea that you'll be able to talk to, um, to a machine, to have a good conversation, meaningful conversation with the machine, but more importantly, with the fact that That could influence your life in a really good way, and before that was really, the focus was on these AI companions, AI friends that could really be there for you and help you live a better life, help you feel better, and now I guess it's just the same idea but applied to personal software. Like, can we build many apps or software that will really help us throughout the day in a very personal way, and we'll be focused on You, on helping you live a better life.

AI assessment note: “Maybe the main theme, uh, is we're always early”

Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q Paint more of a picture of what the world will look like when this Windows or Mac OS moment happened. What will that look like?

A Well, I do think right now we exist, um, in the paradigm of, you know, when I was growing up, we had TV and, um, you know, here you had maybe a few dozen TV channels. Back in Russia, we only had six TV channels. Um, and so then of course now, uh, TV still exists, but when now we watch YouTube and Reels and TikTok, a lot of UGC stuff. And so I think the same will happen with, um, software. Right now we're Kind of stuck in this world where are these few apps developed by professional developers? Um, and then eventually, of course, we're going to move on to this new world where apps are built by all of us for all of us, and maybe so, and maybe sometimes by AI for us. So if you think about it, the operating system of the future, you open it up and you see your regular popular apps you use all the time. Maybe it's X, maybe it's Instagram, whatever it is. Um, and then you see maybe some cool apps that you discovered Uh, your friend, your best friend's using, or maybe you built for yourself, or you tweaked one of the apps you found for yourself, and then you'll see AI suggesting some apps for you. Maybe you're going to New York next week, and there's, you're into art, so it made an art show finder app for you, uh, which is gonna help you find art shows around the Airbnb you're staying at. So it's a lot more flexible, malleable, and very deeply personalized. Think of it as an operating…

AI assessment note: “you open it up and you see your regular popular apps”

Answered raw tape D 5 · C 5 · P 4 · Cm 4 4.60

Q Paint more of a picture of what the world will look like when this Windows or Mac OS moment happened. What will that look like?

A Well, I do think right now we exist, um, in the paradigm of, you know, when I was growing up, we had TV and, um, you know, here you had maybe a few dozen TV channels. Back in Russia, we only had six TV channels. Um, and so then of course now, uh, TV still exists, but when now we watch YouTube and Reels and TikTok, a lot of UGC stuff. And so I think the same will happen with, um, software. Right now we're Kind of stuck in this world where are these few apps developed by professional developers? Um, and then eventually, of course, we're going to move on to this new world where apps are built by all of us for all of us, and maybe so, and maybe sometimes by AI for us. So if you think about it, the operating system of the future, you open it up and you see your regular popular apps you use all the time. Maybe it's X, maybe it's Instagram, whatever it is. Um, and then you see maybe some cool apps that you discovered Uh, your friend, your best friend's using, or maybe you built for yourself, or you tweaked one of the apps you found for yourself, and then you'll see AI suggesting some apps for you. Maybe you're going to New York next week, and there's, you're into art, so it made an art show finder app for you, uh, which is gonna help you find art shows around the Airbnb you're staying at. So it's a lot more flexible, malleable, and very deeply personalized. Think of it as an operating…

AI assessment note: “the operating system of the future, you open it up and you see your regular”

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