Implying there was a point before

Congrats and welcome!!

Are you using the API or Console (console.anthropic.com) to get more Claude? (Happy to pass along any feedback...)

Yah agreed! Opportunity cost aside, I think a generally nice time as a postdoc, then going to industry seems good from a happiness perspective. It seems likely that regret here mostly reflects a less-than-ideal experience post-PhD (by default for systemic reasons).

(If true) I think that's a very specific case, I think industry employers generally don't care or might even weakly prefer fewer years post-PhD

I remain a contrarian on this!

Poster 4.15, talk 2.30! (Is the schedule shown differently somewhere?)

One hypothesis is that the explicit coarse-graining hurts expressivity, which is preserved when modeling long-range correlations implicitly via the vanilla MPGNN. But not sure -- maybe it's possible to set-up a PointNet-style model to do better!

Yep, there are long range correlations in the data, and the global parameter $\sigma_8$ should be especially sensitive to them. Indeed PointNet++ doesn't seem to do very well at capturing them despite explicitly having hierarchical downsampling.

are we getting the greatest hits

Would like to join!