Jaden Schaefer

What's interesting to me is that OpenAI actually did confirm that there was some sort of contingency.

They didn't say exactly what the contingency set was.

They just said that that additional $35 billion is going to be delivered, quote, in the coming months when certain conditions are met.

So they're not telling the public what the conditions are.

If that's AGI, if that's an IPO, that's still kind of confidential information.

And there's a whole bunch of details on the NVIDIA partnership, and those are much more limited.

But I think opening, I said that they've committed about three gigawatts of dedicated inference capacity and two gigawatts of training on NVIDIA's Vera Rubin systems.

So NVIDIA's participation in this, I think this is something that a lot of people have been speculating about.

There were some earlier reports of a potential hundred billion dollar commitment.

This obviously has been revised downwards, right?

And not to say that

maybe they won't put more in the future.

But that was kind of the headline was going to be 100 billion.

And now it's somewhere closer to 30 billion.

And, you know, a lot of people have kind of asked Jensen Huang why that happened.

In January, he pushed back on a bunch of rumors, talking about how NVIDIA was going to invest really heavily in OpenAI's work specifically versus just like some of the other competitors.

So

I think a lot of the funding announcements are happening at the same time that they're announcing some big milestones.

And this typically is something that happens when you see companies go and raise money, they'll hit the milestones, or they'll be close to hitting the milestones, but go and kind of announce that to investors, look, we're about to hit XYZ target or

Maybe they've hit it.