Travis Kalanick
👤 PersonAppearances Over Time
Podcast Appearances
And if the money's going and it's flowing and access to capital is a strategic competitive weapon or advantage, you must play ball. Yeah. Now, we did stuff with the Saudis before even Vision Fund existed. They stroked a $3.5 billion check when that was the biggest thing that ever happened. So we were okay with not having the MASA money, but that MASA money then went to all of our competitors.
Well, look, I think this goes to some of the things that Shamath is saying, which is like if constraint is the mother of invention or whatever that euphemism is, the aphorism is, if that's the case, you get into a real weird spot when you get over- Capitalized.
Well, look, I think this goes to some of the things that Shamath is saying, which is like if constraint is the mother of invention or whatever that euphemism is, the aphorism is, if that's the case, you get into a real weird spot when you get over- Capitalized.
In the Uber model, the war was subsidizing rides for market share, essentially being the wrapper for transportation and using the parlance we were using earlier in this discussion. So it was necessary. You're screwed if you don't. The question is, do you get to this place of overcapitalized, too big, too bureaucratic, too loose, too weak, too soft?
In the Uber model, the war was subsidizing rides for market share, essentially being the wrapper for transportation and using the parlance we were using earlier in this discussion. So it was necessary. You're screwed if you don't. The question is, do you get to this place of overcapitalized, too big, too bureaucratic, too loose, too weak, too soft?
When you have an open source model that's very smart and it's a thousand flowers blooming, lots of innovation happening everywhere, could be an overwhelming force. Now, I think there's going to be different sectors treated different ways where like going full stack in certain industry sectors is going to matter.
When you have an open source model that's very smart and it's a thousand flowers blooming, lots of innovation happening everywhere, could be an overwhelming force. Now, I think there's going to be different sectors treated different ways where like going full stack in certain industry sectors is going to matter.
And then in other places having like a very sort of chaotic, everybody does a little slice. It's going to be okay in other places. And I think we could probably spend days or hundreds of dozens of hours just talking about the nuances there.
And then in other places having like a very sort of chaotic, everybody does a little slice. It's going to be okay in other places. And I think we could probably spend days or hundreds of dozens of hours just talking about the nuances there.
Well, I take Washington Post off that list, but yes.
Well, I take Washington Post off that list, but yes.
The New York Times comes off the list too.
The New York Times comes off the list too.
Jason, you're such an old school copyright guy. You're such an old school media guy, by the way.
Jason, you're such an old school copyright guy. You're such an old school media guy, by the way.
Yeah. I mean, here's the thing, guys. At some point, the amount of data becomes the long pole in the tent. At some point, the quality of the algorithms becomes a long pole in the tent and more compute is not going to change that. I don't think we're there yet.
Yeah. I mean, here's the thing, guys. At some point, the amount of data becomes the long pole in the tent. At some point, the quality of the algorithms becomes a long pole in the tent and more compute is not going to change that. I don't think we're there yet.
That's the one thing that counters the cheap AI means more AI is, is there enough data and or algorithms to make the more AI, to make it work? And I do agree with the siloing it and getting expert and getting better in these ways. But I think this is an interesting sort of trade-off between some of these variables.
That's the one thing that counters the cheap AI means more AI is, is there enough data and or algorithms to make the more AI, to make it work? And I do agree with the siloing it and getting expert and getting better in these ways. But I think this is an interesting sort of trade-off between some of these variables.
How do I get on this group chat? What's that about?