To the best of my knowledge, the Federal Reserve has no official position in favor of or against raising the minimum wage. Claiming otherwise is speculation and likely misinforming people.
Disclosure: Former researcher at the Federal Reserve Board
This is how their model was trained, but I think what you've said may not quite be the case.
Because the discriminator (D) and generator (G) usually compete in a minimax game, the equilibrium probability of D correctly classifying an image as fake tends to 1/2 (ignoring distributional factors). If the competing networks have enough capacity and can be stably trained, then in theory they will reach equilibrium as the data distribution from G converges to the actual data distribution. If this is the case, then the discriminator correctly identifies fake videos with a probability of 1/2.
They may not reach equilibrium (making D > 0.5), but it's not clear that the discriminator itself is a panacea for identifying fake videos/images.
I tend to disagree on this. A method that improves on a previous best in class benchmark by ~30 percent is certainly impressive. While supervised learning state of the art benchmarks for visual tracking are significantly higher, we shouldn't ignore unsupervised (or essentially unsupervised, as in this case) methods simply because they are currently weaker. While they may remain weaker, there's immense value in increasing our unsupervised benchmarks, as another commenter pointed out.
Disclosure: Former researcher at the Federal Reserve Board