Chamath

You could do that today. It's just that- That's an interesting point.

You could do that today. It's just that- That's an interesting point.

So let's wrap this up so we can get to the next thing. Yes, please.

So let's wrap this up so we can get to the next thing. Yes, please.

So look, I think that on the whole, I agree with Benioff here that there's more net new opportunity for AI companies, whether they be startups or you know, existing big companies like Salesforce that are trying to do AI, then there is disruption. I think there will be some disruption. It's very hard for us to see exactly what AI is going to look like in five or 10 years.

So look, I think that on the whole, I agree with Benioff here that there's more net new opportunity for AI companies, whether they be startups or you know, existing big companies like Salesforce that are trying to do AI, then there is disruption. I think there will be some disruption. It's very hard for us to see exactly what AI is going to look like in five or 10 years.

So I don't want to discount the possibility that there will be some disruption of existing players. But I think on the whole, there's more net new opportunity. For example, the most highly valued public software company right now in terms of ARR multiple is Palantir. And I think that's largely because the market perceives Palantir as having a big AI opportunity. What is Palantir's approach?

So I don't want to discount the possibility that there will be some disruption of existing players. But I think on the whole, there's more net new opportunity. For example, the most highly valued public software company right now in terms of ARR multiple is Palantir. And I think that's largely because the market perceives Palantir as having a big AI opportunity. What is Palantir's approach?

The first thing Palantir does when they go into a customer is they integrate with all of its systems. And they're dealing with the largest enterprises. They're dealing with the government, the Pentagon, Department of Defense. The first thing they do is go in, and integrate with all of these legacy systems. And they collect all of the data in one place. They call it creating a digital twin.

The first thing Palantir does when they go into a customer is they integrate with all of its systems. And they're dealing with the largest enterprises. They're dealing with the government, the Pentagon, Department of Defense. The first thing they do is go in, and integrate with all of these legacy systems. And they collect all of the data in one place. They call it creating a digital twin.

And once all the data is in one place with the right permissions and safeguards, now analysts can start working it. And that was their historical value proposition. But in addition, AI can now start working that problem. So anything that the analysts could work, now AI is going to be able to work. And so they're in an ideal position to master these new AI workflows.

And once all the data is in one place with the right permissions and safeguards, now analysts can start working it. And that was their historical value proposition. But in addition, AI can now start working that problem. So anything that the analysts could work, now AI is going to be able to work. And so they're in an ideal position to master these new AI workflows.

So what is the point I'm making? It's just that you can't just throw an LLM at these large enterprises. You have to go in there and integrate with the existing systems. It's not about ripping out the existing systems because that's just a lot of headaches that nobody needs. It's generally an easier approach just to collect the data.

So what is the point I'm making? It's just that you can't just throw an LLM at these large enterprises. You have to go in there and integrate with the existing systems. It's not about ripping out the existing systems because that's just a lot of headaches that nobody needs. It's generally an easier approach just to collect the data.

I just think that that's the cycle. Whenever you're dealing with a disruption as big as this current one, I think it's always tempting to think in terms of the existing pie getting disrupted and shrunk as opposed to the pie getting so big with new use cases that on the whole, the ecosystem benefits. No, no, no, I agree with that. I suspect that's what's going to happen.

I just think that that's the cycle. Whenever you're dealing with a disruption as big as this current one, I think it's always tempting to think in terms of the existing pie getting disrupted and shrunk as opposed to the pie getting so big with new use cases that on the whole, the ecosystem benefits. No, no, no, I agree with that. I suspect that's what's going to happen.

Speaking of investing in late-stage companies, we never closed the loop on the whole open AI thing. What did we think of the fact that they're completely changing the structure of this company? They're changing it into a corporation from the nonprofit, and Sam's now getting a $10 billion stock package.

Speaking of investing in late-stage companies, we never closed the loop on the whole open AI thing. What did we think of the fact that they're completely changing the structure of this company? They're changing it into a corporation from the nonprofit, and Sam's now getting a $10 billion stock package.

I've got enough money.

I've got enough money.