Nick Heiner

Right.

Exactly.

You know, every, every like longitudinal nutrition study.

Right.

But, you know, but just, just like in biology where people are working on cell simulators to be able to get around some of that, you know, that is, again, the benefit of an oral environment is once you figure out how to verify these tasks, you have a simulated environment in which you can, you know, have many hours, you know, many years of like,

Yeah, I mean, it's like the Codex app that just recently came out where they're really having as a first class concern managing a swarm of agents.

So yeah, I mean, the simpler form is like what you see we published already with CoreCraft where you have one agent solving a customer support task at a time.

But yeah, when you get more nuanced, it's things like a financial markets simulator where you have multiple agents that are all participating in the market at the same time and in real time.

And you just see sort of who comes out on top.

So, yeah, that's definitely a very interesting area of research for us.

Yeah.

Yeah.

So it's important to distinguish here.

Like when people say multiple models, sometimes they literally mean like a new model has been trained to make PowerPoints.

And sometimes they mean it's the same LLM that just has like a different system prompt.

It's just sort of like an agent that's pointed towards a different subtask.

Right.

Yeah.

I mean, the latter is absolutely a technique that is used a lot today.

Just because when you, just like humans, when you let an agent focus on something, it does a better job.