“Generate me a crowd of civilians with one terrorist in.”

“Please move them to some desert, not the empire state building.”

“The civilians are supposed to have turbans, not ballcaps.”

That's very outdated, they're absolutely supposed to be at the Empire State Building with baseball caps now. See: ICE arrests and Trump's comment on needing more El Salvadoran prison space for "the homegrowns"

That was the joke.

The joke is AI knowing the job requirements better than the person using it? When talking about chatgpt?

I'm confused.

All I can think of is image generation of potential targets like ships, airplane, airfield and feed them to their satellite or drones for image detection and tweak their weapons for enhance precision.

I think the usual computer vision wisdom is that this (training object detection on generated imagery) doesn't work very well. But maybe the corps have some techniques that aren't in the public literature yet.

My understanding is the opposite, see papers for "synthetic" data training. They use a small bit if real data to generate lots of synthetic data and get usable results.

The bias leans towards overfitting the data, which in some use cases - such as missile or drone design which doesn't need broad comparisons like 747s or artillery to complete it's training.

Kind of like neural net back propogation but in terms of model /weights

Show me a tunnel underneath a building in the desert filled with small arms weapons with a poster on the wall with a map of the United States and a label written with sharpie saying “Bad guys here”. Also add various Arabic lettering on the weapons.

It's probably horrifying!

They make presentations. Most of their work is presentations with diagrams. Icons.