The Implications of Synthetic Data for Machine Learning

We've got machine learning, large language models and similar models that are getting better. Would you consider this the category of synthetic data? I don't know, like it's not pure synthetic data. And Logan, maybe it's a good thing to kind of take the implication there a little bit. What do you think of the implications? How, how good could these models potentially get in your view?