The Exchanges

Q upside that is aligned with the idea of independence, the idea of having differentiated value and quality. Um, and so we're very interested in doing that, but you know, my belief is we have to take a sort of a first principles approach and not just, you know, stuff ads in a thing, but ask the question, like, what would the good version of this be? And help build that.

A Yeah, I think the, the, the bear case for, for ads has been sort of, you know, dumb it down content or, or sort of, you know, click, click bait for, for the masses. The, the, the bull case has been sort of allows, you know, niche writers to, to monetize without charging their, their audience, uh, a, a, a, a ton, or it, you know, doesn't fall succumb. Uh, it doesn't succumb to audience capture in the same way that a subscription could be basically there, there are pros and cons with, With, with both business models and you guys have to, you know, figure out how to, how to integrate it in a way that, that, that works for the reader and the writer.

AI assessment note: “figure out how to integrate it in a way that works for the reader”

Q like DeepSeek to the rest of the world. So what do we want our allies on, DeepSeek or Lama? That's sort of what it comes down to at the model level of the stack, right? The reality is that a number of countries are not waiting around to find out. The ones that certainly have the ability to fund their own Sovereign infrastructure are rushing to do it right now.

A And what does that mean for the sort of nationalization debate, or how you see that playing out? You know, Leopold Aschenbrenner, formerly of OpenAI, in his famous sort of report, talked about how, hey, if, um, if this thing becomes as critical to national security as, as, as we think it will be, at some point, they're not just going to let, the governments aren't just going to let private companies run it. They're going to want to have a much more integrated sort of approach with it. Um, Where do you stand on sort of the likelihood of that, and what does that mean if the feasibility of regulation in a world where, um, it's much more decentralized?

AI assessment note: “Where do you stand on sort of the likelihood of that”

Q Uber? And then right back to what we were saying at the beginning of this conversation, you know, what does this mean for Uber? Well, their operations get x percent more efficient, and now the fraud detection works. And, you know, ok, maybe they're autonomous cars, different conversation. But presume they're autonomous cars, that's a whole other conversation. Otherwise, as Uber, what does this change? Well, Not a huge amount.

A I want to sort of zoom out a little bit. This whole framing the, um, so you've been doing these presentations for a while now, you, you know, you've bumped them up to two times, um, because there's so much is changing. Um, and, and one of the things you do in each presentation is, is you're famous for asking, you know, really great questions and chronicling. What, what are the important questions to, to be asking? I'm, I'm curious as you reflect, you know, maybe post, uh, you know, chat GPT in two, or GPT three rather, um, The questions you were asking then, and you reflect on to now, uh, to what extent, uh, do we have some direction on some of those questions or to what extent are they the same questions or, or new and, and, and different questions or what, what is sort of your, you know, if I woke up on a, in a coma, uh, after reading your, you know, your original presentation, let's say, you know, the one after GPT three launch, uh, came out, um, and then seeing this one now. What were the sort of most surprising things or things that we learned that updated those questions?

AI assessment note: “I want to sort of zoom out a little bit.”