Subjectively, the idea of pseudo-labeling sounds a bit like putting a car on a highway and placing a brick on the gas pedal - for a while, the car will be driving very well indeed, with significant positive acceleration. But after a while a turn may come, or, in our terminology, the properties of the data stream which you’re putting into your predictive model may change, requiring you to step back and perhaps go through the labeling process once again.