magic_lobster_party
I believe this is some crossover comic where Spider-Man and Superman face each other. The entire fight Superman was holding back. At the end of the fight he realizes Spider-Man is actually a good guy, so he decides to stop the fight by standing still taking punches from him until he gives up. Long time ago I read it.
Just some lazy writing to accommodate that Superman is too OP for this kind of crossover.
The theory behind this is that no ML model is perfect. They will always make some errors. So if these errors they make are included in the training data, then future ML models will learn to repeat the same errors of old models + additional errors.
Over time, ML models will get worse and worse because the quality of the training data will get worse. It’s like a game of Chinese whispers.
Is this a gang bang?