How can statistically generated tokens help in basic research to find things outside the training set? This is where things are “inefficient” as it’s driven by extrapolated knowledge and often requires money to proceed. Sometimes in quantity. And things often fail.

As basic research transitions to engineering, things built from the current knowledge base, if suitably updated, should be useful. And work within the training set should go well.