[Chirono]

Nice paper. I particularly like how they talk through the ideas they tried that didn’t work, and the process they used to land on the final results. A lot of ML papers present the finished result as if it appeared from nowhere without trial and error, perhaps with some ablations in the appendix and I wish more papers followed this one in talking about the dead ends along the way.

[sjwhevvvvvsj]

Nothing would benefit the scientific enterprise more than explicitly publishing papers about failed experiments.

How much public money, time, and careers have been wasted chasing something that is already known not to work?

[vacuity]

Unfortunately, careers don't get advanced that way. There are very backwards incentives.

[sjwhevvvvvsj]

I’m aware, I left the academic world in no small part that I refused to write papers that weren’t worth reading. A high quality, but short, CV is a career ender these days. I’m happier now though!