This is fundamentally philosophically to me a different problem.

The previous decade had mostly been about understanding data that already exists,

but the next decade was going to be about understanding new data.

Visual, spatial intelligence is so fundamental.

It's as fundamental as language.

It is like unwrapping presents on Christmas.

That every day you know there's going to be some amazing new discovery,

some amazing new application or algorithm somewhere.

If we see something or if we imagine something,

both can converge towards generating it. I think we're in the middle of a

cabrian explosion. To many, the last two years of AI have felt like a light switch, pre and post

DPT3, pre and post being able to generate an image with natural language, and even

pre and post translating any video with a click of a button.

But to some like Dr. Faye Faye Lee, often referred to as the quote Godmother of AI and

longtime professor of computer science at Stanford, who by the way taught some very well-known

researchers like Andre Carpathi, to people like Faye, artificial intelligence unlocks have

existed on a multi-decade long continuum.

And that continuum is destined to proceed

into the physical spatial world.

At least, that's what Faye and her co-founders

of new company, World Labs, believe. And these four founders pioneered the ecosystem in so many ways.

From Faye's ImageNet to Justin Johnson's work on scene graphs, Ben Mildenhall's work on

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