[godelski]

> The template screams NeurIPS though. Page limit for that would be 9 pages, this is 9.5,

That's a fair point and I'm not sure why I didn't consider that they would release a pre-print after they had submitted it. (This is a total fumble on my part)

> there is an issue here about big teams breaking the blind review process by putting themselves on the front

I don't see that as actually breaking the blind review part. There are many more abuses that de-anonymize themselves. Most transformer research is done by big labs because they need the processing power and are the only ones who can afford such equipment (though there was a paper that did transformers on CPUs). Just training ImageNet is out of bounds for a lot of people (I have a few A6000s and it still takes me days). A trivial example is that Google will use JFT and will include it everywhere. If you're qualified to review you're probably going to be able to de-anonymize the lab. I do think we need to do more to make a more level playing field but that's an extremely difficult thing to do. More resources just enables you do do more. But maybe we shouldn't metric hack as much, which would slow things down a little.