Machine learning models and, in particular, neural networks are trained with data often collected from the real world, such as images of real people.

Meanwhile, neural networks (such as GANs) are also used for data generation. Each year, they become better at this task to the point that even humans are not able to distinguish real-world data from the artificially generated one.

So it is possible that neural networks will start to learn with data that was generated by other neural networks, because it will look as real even for a human, but naturally will be not related to the real world.

1. Will it lead to some machine learning collapse?
2. Might it lead to some changes in human's perception of the world, because people get a very big part of their knowledge using computers, connected to the Internet?
3. Is anyone thinking about this potential problem?