It is a promising idea, but it falls prey to the same tautology as in the game-playing agent days. In order for simulation to be useful, you need a really robus

It is a promising idea, but it falls prey to the same tautology as in the game-playing agent days. In order for simulation to be useful, you need a really robust model of the world, but if you had a really robust model of the world, you wouldn't need the simulator. Simulation is really really good for one thing: learning a policy that can find a particular corner of the search space as fast as possible (such as a wining state in a Go game). But simulation is not good at actually generating the space. It's going to extrapolate mistakes really badly. Also, while humans are better at judging (look at that fake thing!) than generating (drawing a realistic photo), I think you may find that — despite our abilities — detection is actually quite a bit harder. As an example: "John Doe is dead." This was very easy for me to create, but it's quite difficult for you to judge whether or not it is true due to a variety of factors (which John Doe, am I being honest, when was the last time you saw John Doe, do you know anyone who knows John doe and could check, perhaps John Doe had a twin who died, etc.)