Alexandr (Alex) Wang

center for AI data processing where we hired up imagery analysts to be able to validate the outputs coming out of the AI systems to ensure that we were getting the correct, you know, we're getting accurate and high integrity data to feed back into the AI systems.

Wow.

Wow.

Damn.

Where do we go from here?

Yeah, so we were doing lots of stuff around imagery and computer vision.

And then we started working with the DoD on more ambitious and larger scale AI projects.

So one of the things we're working with them now is this program called ThunderForge, which is using AI for military planning and operational planning.

So more broadly, so the basic idea here is can you use AI to effectively like automate major parts of the military planning process so that you're able to plan within hours versus taking many days?

This sounds like Palantir.

It's, yeah, they target different parts of the problem and we target different parts of the problem.

And ultimately we work together pretty well.

But this is part of a broader concept that we have around what we call agentic warfare.

So the use of AI and AI agents in warfare.

And the basic idea is, can you go from these current processes where humans are the loop to humans being on the loop?

And so can you go from situations where these workflows have to go from a person has to do a bunch of work, then pass the next person, they have to do a bunch of work, pass the next person, to the AI agents are just doing a lot of that work and humans are just checking and verifying along the way?

And it's a big change.

So going from, you know, if you compare both set up side by side, here you have individuals, humans with decades of single domain experience who are doing each step of this process.

And then if you have the AI agents doing it, ideally you have AI agents who have

you know, thousands of years of knowledge, all domain knowledge, and are, you know, a thousand times faster at doing the actual tasks.