Anjney Midha

to 8.30 a.m., and then we make our priorities and then go execute.

And, you know, it's

Basically, we have AIs predict new materials.

We then have robots synthesize the new materials.

We then have an X-ray diffraction machine that tests whether the material has the properties that the AI said.

And then we pipe that verification loop back into the training ground as many times as we need for the agents to continue predicting new superconductors.

And in the last 90 days,

We've had more material verifications than I think in the last decade in the field.

And so I'm a huge believer in unblocking frontier progress and domains where it, the verification sort of loop is clearly just like, we know it's going to work, but execution is the bottleneck.

And then I like getting these, the best teams, the best scientists, the best engineers, the capital to compute the commercial help they need.

Now, I think that the beauty about having Anthropic around is that it's made this idea of the bitter lesson and scaling legible to the capital market.

So now, instead of me having to call up 22 friends, I'm getting 21 no's, which was the case with the seed round of Anthropic.

Now I make two calls.

Instead, we get like, you know, we get three times oversubscribed.

So capital is no longer the bottleneck, which is phenomenal.

You know, again, we've been at it eight weeks, have more than a billion dollars committed for our first fund.

I'm a solo.

key man GP on the fund and there's lots of institutions pension funds sovereign funds who are like how much more can you put to work especially in publics privates buyouts it's a bonanza for people who want to be true partners who want to be the Arthur Rock of this era I think if you believe in the bitter lesson it's not new it's been around for ages you and I the three of us talked about this like over a year ago at the last recent Horowitz AGM yeah still better

I'm more Zen than I am bitter.

How are you thinking about building out the team on both sides?