Yeah basically.

You use the outputs from the first run (right or wrong) as answers for the second training run, and repeat. Magically it works. That's what's so surprising.

I guess a theory is because there are so many diverse ways to be wrong that they don't accumulate error... still seems surprising and would be interesting to see if it works in other domains.