Imagine if research was like github, but deduplicated : a giant graph database of unique facts, hypothesis, assumptions, proofs and experiment results, where anyone can contribute, from fixing a typo to publishing experiment dataset.

You would reference to previous knowledge without having to think about citing authors, because it would be automatically generated from the graph.

Then we would have hundreds of "knowledge verifiers", like we have bots scanning github, and ultimately bots deriving new knowledge and contributing to the graph.

The whole world would be building a shared database of knowledge, without any duplicated effort.

Most of the individual facts in this database would probably be boring (like the trivial facts in logic or mathematic), but once in a while, an interesting and important fact would be found.