Like I remember telling my parents that that uh I joined the swim team and uh my roommate was really buff and so every d

The first time when you were giving Elon that crazy AI chip, right? Oo, that was a big moment. That was a huge That felt crazy to be there. I was like watching these wizards of tech like exchange information and and you're giving him this crazy device, you know, and then the other time was uh I was shooting arrows in my backyard and uh randomly get this call from Trump and he's hanging out with you.

The definition of power, you know, often times the definition definition of power is military power or physical power. But in in the case of technology power when we translate all of those operations it's towards more refined thinking you know more reflection more planning more options I think the big fears that people have is one a big fear is military applications that's a big fear because people are very concerned that you're going to have AI systems that make decisions th

That's what they said in the Terminator movie and it hasn't happened. But you guys are working towards it. Um the the thing about you're saying about conscience and sensience that you don't think that AI will achieve consciousness or that the question is what's the definition? What's the definition of what is the definition to you?

And then you show another. Now it's an image of a dog and it guesses it takes a swing at it and it comes up with a bunch of garbage and you say no no no the answer is this is a dog I want you to produce dog and all of the other switch all the other outputs have to be zero and I want to back propagate that and just do it over and over and over again. It's just like uh showing a a kid this is an apple, this is a dog, this is a cat. And you just keep showing it to them until the

Imagine a car over the course of 10 years that became a 100,000 times faster or at the same speed 100,000 times cheaper or at the same speed 100,000 times less energy. If your car did that, it doesn't need energy at all. What I mean what what I'm trying to say is that in 10 years time the amount of energy necessary for artificial intelligence for most people will be minuscule utterly minuscule and so we'll have AI running in all kinds of things and all the time because it doe

And so we connected eight of these chips together instead of just two. And all of them work together just like your Quake rig did to solve this deep learning problem to train this model. And so I create we created this thing. I announced it at GTC and at one of our annual annual events and I described this deep learning thing, computer vision thing and this computer called DJX1.

And so I explained it to him humbly, honestly. I gave him the background. explain to him why the technology doesn't work, why we thought it was going to work, why it doesn't work. And um and I asked him to uh convert the last $5 million that they were to complete the contract to give us that money as an investment instead.

And I I said, you know, we have a lot of customers, and the demand's really great, and we're going to tape out a chip to you, and I like to go directly to production because I know it works. And they said, "Nobody has ever done that before. Nobody has ever taped out a chip that worked the first time. And nobody starts out production without looking at it.

there there um there there's a whole bunch of ways and and it takes it takes um takes a whole bunch of things but let me just start uh you have to be surrounded by amazing people and Nvidia is now you know if you look at look at look at um the large tech companies in the world today most of them have a business in advertising or social media or you know content distribution and at the core of it is really fundamental computer science and so the company's business is not compu