Trained to see what we expect
You’ve got to fake it to make it
Real data is sparse, so the researchers simulated half a million gravitational lens images to train the CNN. The fake images have to be as realistic as possible for the CNN to be useful in dealing with real data, so blurring and noise effects were added.
Wow - once we've taught it to find what theory predicts - guess what it finds?
This is spot the sausage in a Wurst factory; where we have trained it to find the spotted dick. Even worse (wurst?) this will then lead to a 'done that; tick the box' mentality which will preclude the other, unfound information, since our tests have been defined by our expected results. A tad of a perversion of Rev (if he was) Beyes' there.