Mamoon Hamid

Okay, so we just talked about how everyone's over-investing right now into the cycle. None of us can miss, whether it's the large incumbents or us as venture investors back in companies. And so your question is like, where do we invest as venture investors? And I can tell you, we've invested in a lot of application layer companies that are solving very specific pain points.

The way we've looked at it pretty simply is we took actually the top 20 jobs in the US, who makes the most? And it's doctors, its lawyers, and its developers. How do we help supercharge these people who are highly scarce, highly skilled, and we're not producing enough of them? So you try to build software, AI, that helps them do their job better.

The way we've looked at it pretty simply is we took actually the top 20 jobs in the US, who makes the most? And it's doctors, its lawyers, and its developers. How do we help supercharge these people who are highly scarce, highly skilled, and we're not producing enough of them? So you try to build software, AI, that helps them do their job better.

The way we've looked at it pretty simply is we took actually the top 20 jobs in the US, who makes the most? And it's doctors, its lawyers, and its developers. How do we help supercharge these people who are highly scarce, highly skilled, and we're not producing enough of them? So you try to build software, AI, that helps them do their job better.

So we've backed companies that help doctors, lawyers, and developers, co-pilots. So Harvey, Ambience, Codium.

So we've backed companies that help doctors, lawyers, and developers, co-pilots. So Harvey, Ambience, Codium.

So we've backed companies that help doctors, lawyers, and developers, co-pilots. So Harvey, Ambience, Codium.

Yeah, I think it's like any other space, any other traditional linear software space, I call them. It's about teams that will out-hustle and will outwork and have... In this case, actually, the technology really does matter. The quality of the output of their models really does matter. The tuning of what they've done to the frontier model does matter.

Yeah, I think it's like any other space, any other traditional linear software space, I call them. It's about teams that will out-hustle and will outwork and have... In this case, actually, the technology really does matter. The quality of the output of their models really does matter. The tuning of what they've done to the frontier model does matter.

Yeah, I think it's like any other space, any other traditional linear software space, I call them. It's about teams that will out-hustle and will outwork and have... In this case, actually, the technology really does matter. The quality of the output of their models really does matter. The tuning of what they've done to the frontier model does matter.

You can't have a medical transcriber that's 87% good. It has to be close to like 99% good. That actually requires real technical depth and adeptness. I would say all three of these examples I cited are started by founders who are extremely technical. And they've been at it. It's not just like some tourist AI engineer.

You can't have a medical transcriber that's 87% good. It has to be close to like 99% good. That actually requires real technical depth and adeptness. I would say all three of these examples I cited are started by founders who are extremely technical. And they've been at it. It's not just like some tourist AI engineer.

You can't have a medical transcriber that's 87% good. It has to be close to like 99% good. That actually requires real technical depth and adeptness. I would say all three of these examples I cited are started by founders who are extremely technical. And they've been at it. It's not just like some tourist AI engineer.

It is like sort of deep ML experts have been doing this before they started these companies and paired up with a very domain expert co-founder who understood the market that they're going after.

It is like sort of deep ML experts have been doing this before they started these companies and paired up with a very domain expert co-founder who understood the market that they're going after.

It is like sort of deep ML experts have been doing this before they started these companies and paired up with a very domain expert co-founder who understood the market that they're going after.

No different than anything else in venture capital. Our job is to invest in early stage companies that make history and are generational in nature. And our job is to recognize the trends and the tectonic shifts in technology and then invest in the right people and the right markets at the right time. And right now, I would say the entropy in the system is really high. It's crazy out there.

No different than anything else in venture capital. Our job is to invest in early stage companies that make history and are generational in nature. And our job is to recognize the trends and the tectonic shifts in technology and then invest in the right people and the right markets at the right time. And right now, I would say the entropy in the system is really high. It's crazy out there.

No different than anything else in venture capital. Our job is to invest in early stage companies that make history and are generational in nature. And our job is to recognize the trends and the tectonic shifts in technology and then invest in the right people and the right markets at the right time. And right now, I would say the entropy in the system is really high. It's crazy out there.

It is like things are changing left and right. That makes, I think, the job really fun. I just would say that it's the same as it was 25 years ago.