What is the expectations for how long human effort will last in the center of AI research tasks if we are in the early stages of RSI?

One of my observations that makes me think we may be *approaching* a form of RSI, rather than in it, is how everyone who builds LLMs at a frontier lab is in a total grindfest. They work SO hard and often on fairly narrow tasks that accumulate to the model.

In an era of RSI, I would expect the human effort to progressively decrease. Is the contention that there was so much work to be done for humans AND AI assistants, that AI's are doing so much more and humans are doing the same amount -- both with more things they could do?

Seems like so long as humans are that deeply embedded, the most extreme forms of RSI aren't on the table, and the burnout of our mutuals at labs is a fairly easy proxy to read, if they can't share more technical details.

Thoughts? This is one of a few reasons I think we're in an acceleration by AI research automation, but one that isn't immediately explosive.