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...
FWIW, I did actually manage to guess which Mark it was based on the content of the initial comment, because there aren't that many persistent commenters named Mark on LW, and only one I could think of who would post that particular initial comment. So claiming not to have deanonymized him at all does seem to be overstating your case a little, especially given some of your previous musings on anonymity. ("The lady doth protest too much, methinks" and all that.)
I do, however, echo the sentiment you expressed on the EA Forum (that anonymous commenting on LW seems not worth it on the margin, both because the benefits themselves seem questionable, and because it sounds like a proper implementation would take a lot of developer effort that could be better used elsewhere).