Two AIs, one goal—outsmart each other. Welcome to the world of GANs.
30 Days, 30 AI Papers – Day 18
Paper: Generative Adversarial Nets (GANs)
Ever noticed how two friends improve faster when they challenge each other?
What if two AIs do the same—and get more creative with every round?
This paper introduced GANs: where one AI (the generator) creates fake images or data, and the other AI (the discriminator) judges if it's real or not.
Through constant competition, both improve—until the generated content looks super real.
That’s how we got deepfakes, AI art, hyperrealistic avatars, and even synthetic training data.
🔥 Creativity meets coding. Magic meets logic.
If this blew your mind, comment GAN Magic!
Follow @connectwithaadi for more of Ilya Sutskever’s top 30 AI breakthroughs.
Share this with a friend who still thinks AI can’t be creative. 😄
30 Days, 30 AI Papers – Day 18
Paper: Generative Adversarial Nets (GANs)
Ever noticed how two friends improve faster when they challenge each other?
What if two AIs do the same—and get more creative with every round?
This paper introduced GANs: where one AI (the generator) creates fake images or data, and the other AI (the discriminator) judges if it’s real or not.
Through constant competition, both improve—until the generated content looks super real.
That’s how we got deepfakes, AI art, hyperrealistic avatars, and even synthetic training data.
🔥 Creativity meets coding. Magic meets logic.
If this blew your mind, comment GAN Magic!
Follow @connectwithaadi for more of Ilya Sutskever’s top 30 AI breakthroughs.
Share this with a friend who still thinks AI can’t be creative. 😄
