This story was originally posted as a response to this thread.
It might help to imagine a hard takeoff scenario using only known sorts of NN & scaling effects...
In A.D. 20XX. Work was beginning. "How are you gentlemen !!"... (Work. Work never changes; work is always hell.)
Specifically, a MoogleBook researcher has gotten a pull request from Reviewer #2 on his new paper in evolutionary search in auto-ML, for error bars on the auto-ML hyperparameter sensitivity like larger batch sizes, because more can be different and there's high variance in the old runs with a few anomalously high performance values. ("Really? Really? That's what you're worried about?") He can't see why worry, and wonders what sins he committed to deserve this asshole Chinese (given the Engrish) reviewer, as he wearily kicks off yet another HQU experiment...
I don't have any idea whether people use that feature or not, but I definitely love it. One of my fav things about browsing gwern.net.
I was directed to the story of Clippy from elsewhere (rabbit hole from the Gary Marcus vs SSC debate) and was pleasantly surprised with the reader mode (I had not read gwern.net for months). Then, I came here for discussion and stumbled upon this thread explaining your reasoning for the reader mode. This is great! It's a really useful feature and incidentally, I used it exactly the way you envisioned users would.