Alexandr (Alex) Wang

Do you have the chips to go inside them?

That's like a large-scale industrial project in question.

And then data.

Do you have all of the lifeblood?

Do you have all of the data that feeds into these algorithms that they learn off of?

And it's really kind of like the raw material for a lot of this intelligence.

And so that's why I think data is the closest thing to oil because it is what gets fed into these algorithms, fed into the chips to make AI so powerful.

And everything we know about AI is that the better you are at all three of these things, algorithms, computational power, data, the better your AI get.

And it's just all about racing ahead on all three of these things.

They all have separate data centers.

This is actually one of the major...

lanes of competition between the companies is who has the ability to secure more power and build bigger data centers because ultimately

you know, as AI gets more and more powerful, the question then becomes, how many AIs can you run?

So let's say for a second that we get to, you know, a really powerful AI that can do automated cyber hacking.

So it can do like it can log into any kind of server or log into another, you know, or try to hack some website or try to hack some other try to hack some some system.

Then the question is just, okay, if I have that, how many of those can I run?

Can I run 1,000 copies of that?

Can I run 10,000 copies of that?

Can I run 100 million copies of that?

And that all just boils down to how many data centers do you have up and running?