Another more general comment:

There general interest across a variety of disciplines to kick the tires of LLMs with respect to their competence in DOMAIN_X. This is good in general terms, but, especially with larger studies, they tend to be out-of-date by the time of publication, and super out-of-date by the time they hit the media circuit. Out-of-date here in terms of testing against models 1 or 2 or more generations back from SOTA.

The DOMAIN_X experts do have a lot to offer in terms of defining success criteria across domain tasks, but the studies (snapshots in time) could be much more impactful if they were instead packaged as benchmarks (that could track model progress over time, and even steer it).

AI community / industry could probably do some outreach work to streamline or standardize methods for general researchers to produce reusable benchmarks.