The discussion delves into the vulnerabilities of deep learning models, particularly in the realm of deepfakes. Siwei highlights how the limitations of computational power lead to distinctive artifacts in generated images, making them detectable. Despite the uncanny nature of these fakes, there's a belief that machines can be developed to recognize them, even if the exact methods are still in progress.
