We do both. You can’t just fine tune if you’re trying a different model architecture, or even change some of the hyperparameters on an existing one. Every now and again you might be able to reuse some of the weights, but that’s about it. That’s part of the reason research is so incredibly expensive and time consuming in this field. I bet that $80k is only a fraction of the overall cost for the model described in the article, too.