In Generative Adversarial Networks (GAN), the discriminator assesses data and determines whether it's real or generated by the generator. The ultimate aim is for the generator to create data that the discriminator can't distinguish from real data. Although Solvice's primary focus is on solvers and optimization, understanding GAN dynamics can provide insights into certain optimization techniques.