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> 4 different defense contractors in the last day Now I'm just wondering what the hell defense contractors need image generation for that isn't obviously horri

> 4 different defense contractors in the last day Now I'm just wondering what the hell defense contractors need image generation for that isn't obviously horrifying...

morleytj 1y ago
It's probably horrifying!
Aeolun 1y ago
“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.”
- ziml77 1y ago
  That's very outdated, they're absolutely supposed to be at the Empire State Building with baseball caps now.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"
  - artemisart 1y ago
    That was the joke.
    - deleted 1y ago
      [deleted]
    - Dylan16807 1y ago
      The joke is AI knowing the job requirements better than the person using it? When talking about chatgpt? I'm confused.
deleted 1y ago
[deleted]
sieabahlpark 1y ago
[dead]
renewiltord 1y ago
They make presentations. Most of their work is presentations with diagrams. Icons.
vFunct 1y ago
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.
qatanah 1y ago
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.
- daemonologist 1y ago
  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.
  - notarealllama 1y ago
    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

> 4 different defense contractors in the last day Now I'm just wondering what the hell defense contractors need image generation for that isn't obviously horrifying...

morleytj 1y ago

It's probably horrifying!

Aeolun 1y ago

“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.”

ziml77 1y ago
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"
- artemisart 1y ago
  That was the joke.
  - deleted 1y ago
    [deleted]
  - Dylan16807 1y ago
    The joke is AI knowing the job requirements better than the person using it? When talking about chatgpt? I'm confused.

deleted 1y ago

[deleted]

sieabahlpark 1y ago

[dead]

renewiltord 1y ago

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

vFunct 1y ago

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.

qatanah 1y ago

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.

daemonologist 1y ago
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.
- notarealllama 1y ago
  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