Jensen Huang

And so somebody has to go make sure that weather prediction, biology, AI, AI for biology, physical AI, all of that stuff can be pushed to the limits and pushed to the frontier.

We don't build cars, but we want to make sure every car company has access to great models.

We don't discover drugs, but I want to make sure that Lilly has the world's best

biology AI systems so that they can go use it for discovering drugs.

So these three fundamental reasons, both in recognizing that AI is not just language, that AI is really broad, that we want to engage everybody into the world of AI, and then also co-design of AI.

Yeah, I appreciate you for saying that.

We open source the models, we open source the weights, we open source the data, we open source how we created it.

You know, first of all, the deepest misunderstanding about TSMC is that...

Their technology is all they have.

That somehow they have a really great transistor.

And if somebody shows up another transistor, game over.

It's the technology.

And of course, you know, I don't mean just the transistor and metallization systems, the packaging, the 3D packaging, the silicon photonics that, you know, all of the technology that they have.

That technology is really what makes the company special.

Their technology makes the company special.

but their ability to orchestrate the, the demands, the dynamic demands of hundreds of companies in the world, as they're moving up, shifting out, you know, increasing, decreasing, push, pushing out, pulling in, um, changing from customer to customer.

Uh,

Wafer starting, wafer stopping, emergency wafer starts, you know, all of this dynamics of the world's complexity as the world is shape shifting all the time.

And somehow they're running a factory with high throughput.

high yields, really great costs, excellent customer service.