I’ve been following the development of the next Stable Diffusion model, and I’ve seen this approach mentioned.
Seems like this is a way in which AI training is analogous to human learning - we learn quite a lot from fiction, games, simulations and apply this to the real world. I’m sure the same pitfalls apply as well.
You must log in or register to comment.
Synthetic data was used here with impressive results: https://programming.dev/post/133153
There is a lot of potential in this approach, but the idea of using it for training AI systems in MRI/CT/etc. diagnostic methods, as mentioned in the article, is a bit scary to me.