Jesse Zhang

We don't care that much about what Decagon's costs are.

In fact, we probably don't care about at all.

What we care about is what is the business ROI that we're getting?

It's like we're downsizing our operations by this much.

We're actually generating more revenue now because the AI can engage people and keep them retained.

So that is where we probably see the most dynamic here.

And I do think this is generally not really a hot take.

In the early days, we were like, oh, they're just like chat GPT wrappers and so on.

And yeah, a lot of wrappers, if it's too thin, it's like not going to be valuable.

But if you have enough software built around the models, then that's where you can actually almost capture the most value.

That's why I think the open AIs of the world will continue to move towards applications.

Because it's quite hard for them to make money long-term on like their API, for example, because there's like such high competition.

All the labs are building.

It's very easy for people to swap.

It's not like moving from AWS to GCP is like very hard, but moving from a open AI model to an anthropic model, you just change like one line of code.

Yeah, I think generally people say rapper in a derogatory way.

It's like, hey, you're just a rapper.

It's not black and white.

Yes, there are a lot of apps that are just rappers and not going to become real businesses because there's just not that much value.

I mean, one argument, don't know too much about this space, but at least from the outside, it has seemed like copywriting, for example, has been difficult because someone can just log into ChatGBT and just like, hey, write this for me and I'll just write it.