You know, this is a fundamentally huge moment and a sort of a wake-up call to America with just how quickly DeepSeek has developed. And it's a big threat. And it's going to have to be met with a response. It's going to have, you know, there's a whole kind of rethink about how we've been going about developing these models. If Open AI had been a stock today, it would have been

crushed way more than Nvidia was. I think they're the ones that have been affected the most.

We've got to go open source. We've got to focus on software optimization. And I think the Trump

administration has to support that and they have to support other areas that could potentially

leapfrog the Chinese and AI, which are names like the

quantum names. I like Grigetti, the most. I own it. And the area called post-wantam

cryptography, which is the security to protect ourselves from quantum attacks. Okay.

And the name there I like the most is BTQ. That it is possible that they were using

some of the highest performing

invidia chips, perhaps as many as 50,000 of them, to build this model. Now, and they

weren't supposed to have those chips. Right. If that's true, not the size of

the dynamic is different. If it's not true, then maybe all bets are off.

It's possible, by the way, even if it is true, meaning even if they use those chips to create

this, or at least partially to create this, it is still a significantly more efficient

and better model.

I think everybody agrees that right this moment, I mean, I don't know if you, did you get

the play?

It is mind-blowing. It looks really great. I mean, it feels like it's that. It's open source so people can test this out

themselves. But I can say all the tests that I do just to see whether I think, whether I think

the writing is better, whether I think it can answer certain questions. I mean, it was not only

faster, it was more human.

The reasoning was shocking.

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