Anjney Midha

Dario and Tom and I started doing these weekly working sessions in early 2021.

And yeah, I assumed that...

If we went and talked to a bunch of venture capitalists on Sand Hill Road, especially some of the ones who were involved in the biggest hits of the last decade before that, they would get it.

These are the creators of GPT-3.

And they were like, we just don't get this.

We've heard the whole AI story before.

This whole general intelligence thing is a pipe dream.

And it was painful.

We tried to raise $500 million.

We couldn't.

We instead scraped together about $100 million, which I know sounds like a lot, but at the time it was a rounding error compared to how much Google has spent on the same kind of systems.

And it was all angels in that first round, a bunch of cats and dogs, all of us who believed in the mission.

And then over the next 18 months, Dario, Tom, and team put together a plan that we kind of workshopped on getting Amazon involved as a strategic.

And that resulted in a $4 billion compute and capital partnership that made me realize

infrastructure, especially, you know, compute infrastructure was just a key requirement to create any kind of modern AI lab.

And so since then, I've spent the past five, six years figuring out how to unblock that compute bottleneck for research teams.

So the answer to your first question is yes, there are many frontiers to be conquered and pioneered.

And it's not just one frontier.

I think that's a fundamental misunderstanding people have about the frontier.

Exactly, jagged intelligence.