https://github.com/NimbleEdge/sparse_transformers and https://www.reddit.com/r/LocalLLaMA/comments/1l44lw8/sparse_... were the inputs
I find that if I generate a Deepresearch paper in Gemini first, then pass that Deepresearch paper to NotebookLM, I get really good results if I don't have the sources to hand first.
https://github.com/NimbleEdge/sparse_transformers and https://www.reddit.com/r/LocalLLaMA/comments/1l44lw8/sparse_... were the inputs