>
How much more do we need to see to know that this is not normal??
YouTube Will Not Monetize Content Featuring AI-Generated Videos from July 15, 2025
Author Nick Bryant Reveals Why the Government Threw the Diddy Trial and Its Links to Epstein...
I Just Spoke With a Top FBI Source | What They Told Me About Bongino Changes...
Magic mushrooms may hold the secret to longevity: Psilocybin extends lifespan by 57%...
Unitree G1 vs Boston Dynamics Atlas vs Optimus Gen 2 Robot– Who Wins?
LFP Battery Fire Safety: What You NEED to Know
Final Summer Solar Panel Test: Bifacial Optimization. Save Money w/ These Results!
MEDICAL MIRACLE IN JAPAN: Paralyzed Man Stands Again After Revolutionary Stem Cell Treatment!
Insulator Becomes Conducting Semiconductor And Could Make Superelastic Silicone Solar Panels
Slate Truck's Under $20,000 Price Tag Just Became A Political Casualty
Wisdom Teeth Contain Unique Stem Cell That Can Form Cartilage, Neurons, and Heart Tissue
Hay fever breakthrough: 'Molecular shield' blocks allergy trigger at the site
Back in the early yo dawg/me gusta era of internet memes, around 2010, some larrikin made an image ridiculing how-to-draw books. "How to draw an owl," it read. "First, draw some circles. Next, draw the rest of the [expletive] owl." It beautifully skewered the giant leaps some of these how-to books would take between steps, and much mirth was spread.
Well, it seems we can stop laughing, because nVidia has just built an app that lets you draw a few lines and circles, and will then consult its knowledge of a million-odd real images to draw the rest of the [expletive] scenery. And yes, it really does look that simple. Check out the video.
The app is named GauGAN, a nod to French post-impressionist painter Paul Gauguin as well as to the GAN, or Generative Adversarial Network processing that it uses to learn about and mimic scenes.
It's worth understanding a bit about GANs. nVidia founder and CEO Jensen Huang believes they're a massive step forward in deep learning and artificial intelligence, because they remove a huge bottleneck from the AI training process – human interaction. If you're trying to train an AI to recognize owls, for example, you need to feed it a huge number of images, and have a human tell it where the owls are. That's incredibly time consuming, as you'd imagine.