This is fundamentally philosophically to be 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's 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 Cambrian explosion.

The next chapter of AI isn't about better language models.

It's about understanding the 3D world as fundamentally as we understand text.

Recently, World Labs launched Marble, their first product,

so we're replaying our most popular conversation to date, a discussion with

World Labs co-founders Faye-Lee and Justin Johnson about why spatial intelligence is the missing

piece for truly intelligent machines. Together with A16Z general partner, Martin Casato,

Fei-Fei and Justin talk about how ImageNet's million image bet in 2009 unlocked modern computer vision,

why today's multimodal models are still trapped in one dimension despite processing pixels

and how their team is building the infrastructure to generate fully interactive 3D worlds as

easily as we generate texts today. From the convergence of reconstruction and generation

that's redefining computer

vision to why AR, VR, and robotics desperately need native 3D understanding, this is the story

of four legendary researchers betting everything that the path to AGI runs through spatial intelligence.

Let's get into it. Over the last two years, we've seen this kind of massive rush of consumer AI companies and technology, and it's been quite wild.

But you've been doing this now for decades.

...