Nabeel Hyatt

I think Replit Agents, the way that they've rebuilt, another really good example of evolving the medium in a way. Descript is another example. You cannot take the incumbent UI and just slap Descript on. It is a rethinking of how you would do audio and video editing from scratch with AI in mind. So that's evolution.

And then the last one, revolution, this is the canonical, like I'm sure this gets talked about every week on your podcast, but this is Uber, right? This is like, it's an entirely new platform that would only exist because this technology exists.

And then the last one, revolution, this is the canonical, like I'm sure this gets talked about every week on your podcast, but this is Uber, right? This is like, it's an entirely new platform that would only exist because this technology exists.

And then the last one, revolution, this is the canonical, like I'm sure this gets talked about every week on your podcast, but this is Uber, right? This is like, it's an entirely new platform that would only exist because this technology exists.

Oh, we are in the industrialization of startups playbook land where everybody's trying to churn out some piece of ridiculous arbitrage every week in order to get through the end of their incubator and raise their seed round. So we mostly have evolved products that are not good enough, or we have adapted products with a coat of paint on top that says AI. What do you find most interesting?

Oh, we are in the industrialization of startups playbook land where everybody's trying to churn out some piece of ridiculous arbitrage every week in order to get through the end of their incubator and raise their seed round. So we mostly have evolved products that are not good enough, or we have adapted products with a coat of paint on top that says AI. What do you find most interesting?

Oh, we are in the industrialization of startups playbook land where everybody's trying to churn out some piece of ridiculous arbitrage every week in order to get through the end of their incubator and raise their seed round. So we mostly have evolved products that are not good enough, or we have adapted products with a coat of paint on top that says AI. What do you find most interesting?

We invest most of our largest exits at Spark over time and most of them are the most satisfying work over time has been on the revolution and sometimes the evolution category. So we have no desire to invest in anything that's an adaptation. We're trying to lean towards the more disruptive, the higher risk, knowing that that won't always work out, but at least it's a journey worth traveling.

We invest most of our largest exits at Spark over time and most of them are the most satisfying work over time has been on the revolution and sometimes the evolution category. So we have no desire to invest in anything that's an adaptation. We're trying to lean towards the more disruptive, the higher risk, knowing that that won't always work out, but at least it's a journey worth traveling.

We invest most of our largest exits at Spark over time and most of them are the most satisfying work over time has been on the revolution and sometimes the evolution category. So we have no desire to invest in anything that's an adaptation. We're trying to lean towards the more disruptive, the higher risk, knowing that that won't always work out, but at least it's a journey worth traveling.

Yeah.

Yeah.

Yeah.

I wouldn't call that hedging. I believe both could win. We were a very early investor. Do you maintain that stay with models? Absolutely. Yeah. I mean, we were early investor in Anthropic and very happy about the investment and think there's a lot ahead for it and feel really, really positive about it. Absolutely. And then on the other end... Can you paint the ball case for me with Anthropic?

I wouldn't call that hedging. I believe both could win. We were a very early investor. Do you maintain that stay with models? Absolutely. Yeah. I mean, we were early investor in Anthropic and very happy about the investment and think there's a lot ahead for it and feel really, really positive about it. Absolutely. And then on the other end... Can you paint the ball case for me with Anthropic?

I wouldn't call that hedging. I believe both could win. We were a very early investor. Do you maintain that stay with models? Absolutely. Yeah. I mean, we were early investor in Anthropic and very happy about the investment and think there's a lot ahead for it and feel really, really positive about it. Absolutely. And then on the other end... Can you paint the ball case for me with Anthropic?

Sure. The thing to understand about Anthropic and OpenAI, ChapGP, they're direct competitors, obviously, is to think about it in the terms of this adaptation, evolution, revolution framework. I'll just use this thing we just talked about a minute ago as a way to make this point. If you are trying to make the next best model and you're running out of data, then what do you need?

Sure. The thing to understand about Anthropic and OpenAI, ChapGP, they're direct competitors, obviously, is to think about it in the terms of this adaptation, evolution, revolution framework. I'll just use this thing we just talked about a minute ago as a way to make this point. If you are trying to make the next best model and you're running out of data, then what do you need?

Sure. The thing to understand about Anthropic and OpenAI, ChapGP, they're direct competitors, obviously, is to think about it in the terms of this adaptation, evolution, revolution framework. I'll just use this thing we just talked about a minute ago as a way to make this point. If you are trying to make the next best model and you're running out of data, then what do you need?

you need to understand how people want to use your model. If you want to understand how people want to use your model, then you need a lot of people using your model. And so the fact that those two companies have a user interface, which has both insights to how a user would use it, but also, frankly, data exhaust,