So it turns out there is a, perhaps informal, working system in place and we can deal with it.
Peer reviewed and published insights are proven invalid all the time. This is the nature of research and how we learn.
Peer reviewed and published insights are proven invalid all the time. This is the nature of research and how we learn.
We don't know the current system can work well enough at this scale, because that's un-knowable. We know it can find some of the problems. We don't know it can find all of them.
We do know it takes more effort - that's knowable. Increased data takes increased processing.
Whether the community has the required effort available, seems unlikely, considering the expertise required to be able to assess these things hasn't changed. Only the ability to generate them has increased.
I feel your concern stems from the risk that there is additional noise everyone needs to cut through.
In reality this isn't any tom, dick or Harry giving you their vibe code output. They have spent millions of dollars on this output, so there is a filter. The biggest filter of them all, funding.
Furthermore, LLM's have given us another gift semantic search, we can easily check your work against theirs, this is valuable insight so instead of researchers wasting decades and fortunes pursuing an avenue that shows no value (this includes methods), they can purse new avenues they know what to avoid, in the same breath they know what to work towards.