The end is interesting

> "I think that medical data is a really good example of a use case that we don't want to work on," says Elbaz. "In order to model medical diseases, you need real doctors to help you. "There's a lot of specialized knowledge that you would need in order to create this medical synthetic data. Even though medical data is extremely valuable. It's something that I think requires a separate company. It's just too hard. Anything that requires very, very, specialized knowledge is hard," he concluded.

One of the clear uses of synthetic data is areas where data is inaccessible and/or expensive to gather like medical imaging. Turns out, there may be "no free lunch".