@ I want to quickly note that it's a bit unfair for me to specifically only call you out on this or rather, that this is a thing I find with many AI safety projects. It just came up high on Manifund when I logged on for other reasons and saw donations from people I respect.
That said, no, this doesn't exactly assuage my concerns/make me want to donate here. I don't think this work really takes that much time but more importantly, I just don't think it passes the cost-effectiveness bar that I hold my donations and my regrants to given the other opportunities I know of that are out there.
I don't think people doing "non-profit" work should have to make some kind of bare minimum amount to barely cover expenses but I do think that $100k/year to repost short clips on tiktok shows that spending habits in EA have gotten a bit out of control and we should do a bit of a sanity check. I also don't think that the correct metric here is that it's reasonable to pay the equivalent salary of an ML engineer in France. I think people usually/often inflate their earning potential but more importantly, I just don't think it's reasonable for non-profit work to get paid your maximum earning potential.
I think there are two relevant cost-effectiveness factors to consider in grantmaking: raw impact per dollar, and also the reasonable cost to reproduce. I feel uncertain on the former here (and I'm going to be doing a project to address this), but on the latter, I feel pretty confident that I could get 4-5x this impact by having low-cost EAs in 2nd/3rd world countries or college students doing this work.
Based on what you wrote, I think you might feel undercompensated for previous work (on the SB 1047 documentary) and thus want to recoup some of that on this work but I don't think that is what philanthropic funders should do here. Perhaps I'm somewhat open to retroactive funding for the documentary if I/others investigated but I don't think it's good to