I think there is still a ton to learn about usefulness of the training data itself, and how we can find out what is an optimal "fit" for a LLM? Right now, the big LLM's simply have the kitchen sink thrown at them. Who's to say that will automatically outperform a leaner, high quality, data set? And again, "high quality" for us me be different to an AI?