For what it’s worth, as someone in basically the position you describe—I struggle to imagine automated alignment working, mostly because of Godzilla-ish concerns—demos like these do not strike me as cruxy. I’m not sure what the cruxes are, exactly, but I’m guessing they’re more about things like e.g. relative enthusiasm about prosaic alignment, relative likelihood of sharp left turn-type problems, etc., than about whether early automated demos are likely to work on early systems.
Maybe you want to call these concerns unserious too, but regardless I do think it’s worth bearing in mind that early results like these might seem like stronger/more relevant evidence to people whose prior is that scaled-up versions of them would be meaningfully helpful for aligning a superintelligence.
I’m curious what your read of the history is, here? My impression is that most important paradigm-forming work so far has involved empirical feedback somehow, but often in ways exceedingly dissimilar from/illegible to prevailing scientific and engineering practice.
I have a hard time imagining scientists like e.g. Darwin, Carnot, or Shannon describing their work as depending much on “immediate feedback loops with present day” systems. So I’m curious whether you think PIBBSS would admit researchers like these into your program, were they around and pursuing similar strategies today?