Friedberg

And what are their incentives? Is it war? Is it self-enrichment? Is it power? Is it all three?

Jason, are you okay?

Jason, are you okay?

I mean, what I'm saying is, has the money been wired and the docs been signed?

I mean, what I'm saying is, has the money been wired and the docs been signed?

It's great. I mean, I loved it. He's really awesome. He's super cool. It's good to do long form stuff like this so that I can actually talk.

It's great. I mean, I loved it. He's really awesome. He's super cool. It's good to do long form stuff like this so that I can actually talk.

Someone called me, someone called me Frohman or Frohman from the 70s show. That was funny. The amount of trash talking in Rogan's YouTube comments, it's next level. It is. I mean, it is. It is the wild, wild west in terms of the comment section on YouTube.

Someone called me, someone called me Frohman or Frohman from the 70s show. That was funny. The amount of trash talking in Rogan's YouTube comments, it's next level. It is. I mean, it is. It is the wild, wild west in terms of the comment section on YouTube.

Okay, let's steel man the bear case. Yes, that's what I'm asking, please. So one would just be on the fundamental technology itself. And I think the version of that story would go that the underlying Frameworks that people are using to make these models great is well described and available in open source.

Okay, let's steel man the bear case. Yes, that's what I'm asking, please. So one would just be on the fundamental technology itself. And I think the version of that story would go that the underlying Frameworks that people are using to make these models great is well described and available in open source.

On top of that, there are at least two viable open source models that are as good or better at any point in time than open AI. So what that would mean is that the value of those models, the economic value basically goes to zero and it's a consumer surplus for the people that use it. So that's very hard theoretically to monetize.

On top of that, there are at least two viable open source models that are as good or better at any point in time than open AI. So what that would mean is that the value of those models, the economic value basically goes to zero and it's a consumer surplus for the people that use it. So that's very hard theoretically to monetize.

I think the second part of the bear case would be that specifically meta becomes much more aggressive in inserting meta AI into all of the critical apps that they control, because those apps really are the front door to billions of people on a daily basis.

I think the second part of the bear case would be that specifically meta becomes much more aggressive in inserting meta AI into all of the critical apps that they control, because those apps really are the front door to billions of people on a daily basis.

So that would mean WhatsApp, Instagram, Messenger, the Facebook app, and Threads gets refactored in a way where instead of leaving that application to go to a chat GPT-like app, you would just stay in the app. And then the companion to that would be that Google also does the same thing with their version in front of search.

So that would mean WhatsApp, Instagram, Messenger, the Facebook app, and Threads gets refactored in a way where instead of leaving that application to go to a chat GPT-like app, you would just stay in the app. And then the companion to that would be that Google also does the same thing with their version in front of search.

So those two big front doors to the internet become much more aggressive in giving you a reason to not have to go to ChatGPT because A, their answers are just as good, and B, they're right there in a few less clicks for you. So that would be the second piece. The third piece is that all of these models basically run out of viable data to differentiate themselves.

So those two big front doors to the internet become much more aggressive in giving you a reason to not have to go to ChatGPT because A, their answers are just as good, and B, they're right there in a few less clicks for you. So that would be the second piece. The third piece is that all of these models basically run out of viable data to differentiate themselves.

And it basically becomes a race around synthetic information and synthetic data, which is a cost problem. Meaning if you're going to invent synthetic data, you're going to have to spend money to do it. And the large companies, Facebook, Microsoft, Amazon, Google, Apple, have effectively infinite money compared to any startup. Hmm.