Jensen Huang

But unsupervised AI learning is now here.

And so the AI could learn by itself.

And the reason why the AI could learn by itself is because we have many examples of right answers.

Like, for example, if I want to learn, if I want to teach an AI how to predict the next word,

I could just grab it, grab a whole bunch of text that we already have, mask out the last word, and make it try and try and try again until it predicts the next one.

Or I mask out random words inside the text, and I make it try and try and try until it predicts it.

You know, like, Mary goes down to the bank.

Is it a river bank or a money bank?

Well, if you're going to go down to the bank, it's probably a river bank.

And it might not be obvious even from that.

It might need...

and caught a fish.

Okay, now you know it must be the riverbank.

And so you give these AIs a whole bunch of these examples and you mask out the words, it'll predict the next one, okay?

And so unsupervised learning came along.

These two ideas, the fact that it's scalable and unsupervised learning came along,

we were convinced that we had to put everything into this and help create this industry because we're going to solve a whole bunch of interesting problems.

And that was in 2012.

By 2016, I had built this computer called the DGX-1.

The one that you saw me give to Elon is called DGX Spark.