Parallel Web Systems Inc.

what if the web's biggest audience isn't human? That's the central question driving Parag Agarwal's work at Parallel Web Systems.

He's the former Twitter CEO, and he's been building this company for nearly three years now with a striking prediction.

AI agents may search the web thousands of times more than people do.

A lot of vendors now are adding base ten and fireworks as sub-processors.

And what people don't realize is that, look, if a vendor is adding those sub-processors, the probability that they're going to deploy an open source model and start using an open source model like GLM, it, it just exponentiates, right? The top five models on all of those, the company that made that model is headquartered in China.

So it's like, well, okay-

Nothing wrong

"Where applicable within law," I think is what they said.

"Where applicable within law." But still, I mean, you have this whole other problem.

There was this other tool, some, uh, uh, some like medical review website basically, where, where, you know, people log in that said, "Hey, we are not an AI company, and, you know, we don't have AI products, but any data you send us while accessing your site, we may use to develop future AI products." And so there's just, you know, it's either you're selling data, you are going to s-create an AI product, or you have an AI product, right? That's really what's happening now.

So I think that level of changes I think are valuable contractually, definitely.