I'm pretty worried about designing new datasets specifically around observing things we've already seen in real data. Sure, we can observe spatial priors and do

I'm pretty worried about designing new datasets specifically around observing things we've already seen in real data. Sure, we can observe spatial priors and double descent with this dataset by design, but when we see a new interesting property, what's the chance that it carries over to real-world data?