Why do you think it was naive instead of a good bet that happened to not work out?

Another two:

1. Rethink Priorities, but could be hard to evaluate. You'd also have to restrict funding to the animal department.
2. THL UK, which fundraises separately from THL and gets limited funding from THL.

I had Perplexity do a review and compare PETA's report with Welfare Footprint's research here, and also critique and review the report Perplexity generated here. Summary from the second link:

Where Models Agree

Another: Animal Policy International

I'm guessing this is on your radar, but I think it's worth checking basically every Coefficient Giving, Navigation Fund and EA Animal Welfare Fund grantee over the last ~2 years.

You could focus on those that received at least $X (e.g. $100K) if you're looking to filter quickly, but we should also be looking to get good orgs to consider more ambitious plans.

Several more invertebrate agriculture uses here.

From 2000 to 2023, the number of species comprising 85% of aquaculture production grew from 14 to 22.

Does this account for the >1 trillion fish fry artificially propagated in China per year, a large share of which are probably fed live to mandarin fish? See my post here, and some (higher) estimates here. My sense is that these fish aren't counted in the FAO stats, because they're not slaughtered for food, and fish fed to mandarin fish are from a smaller number of species. From my post:

Li and Xia (2018) wrote “Almost all prey for mandarin fish is provided through artificial propagation”, and single out mud carp as the favourite feed fish, although others are reported elsewhere, e.g. FAO:

Common live foods for mandarin fish include mud carp (Cirrhinus molitorella), Wuchang fish (also called Chinese bream, Megalobrama amblycephala), silver carp (Hypophthalmichthys molitrix), bighead carp (H. nobilis), grass carp (Ctenopharyngodon idellus), crucian carp (Carassius carassius), common carp (Cyprinus carpio), stone moroko (Pseudorasbora parva) and other wild and trash fish. Wuchang fish fry is preferred at the start of food intake, then feeding bighead and silver carp follows. When body length reaches 25 cm, common and crucian carps are fed.

And “silver carp, bighead, grass carp, Wuchang fish or tilapia fry” (Kuanhong/FAO, 2009).

I agree with those benefits but there's no mention here of potential costs? Maybe you don't think those are significant? 

If we're assuming the post would be good quality, then I don't expect the costs (to me) to be significant, but I'm open to reasons otherwise. If the posts are sometimes low quality or repetitive, then AI could enable more of them, and that would be bad. I'd lean towards allowing 100% AI written posts and seeing what happens to the EA Forum, i.e. tracking the results and reassessing. 

Maybe the voting system, minimum karma to post, and throttling based on recent net negative karma posts/comments are enough to handle this without negatively affecting engagement. Banning 100% AI-written posts is a blunt tool, and it seems worth trying other things.

Its a completely different question but are you happy to receive 100% AI grant application as well?

I'd prefer human-written applications, because it can be hard to distinguish ~100% AI-written but primarily using the applicants' own ideas and reasoning from ~100% AI-generated, including writing, ideas and reasoning.^[1] Grants are bets on the grantees' abilities, not just the project idea. However, I tend to also talk to applicants over calls or in person, and see their work in other ways.

I can imagine for a project for which communication by the applicant is an important part of the project's path to impact, if the application looks AI-written, I would ask them to resubmit or I would reject them, if and because the people the applicant would be communicating to dislike AI writing. This hasn't come up yet, though.

And would you be happy on your grantmaker end to allow your own AI to review that application or would you insist on reading it yourself

At this point, I'd insist on at least personally reading parts that are enough to be decisive one way or the other.

1. ^{^}

   Of course, this leaves another possibility (and others in between the different possibilities outlined so far, including no AI use): 100% of the ideas and reasoning come from AI, but the application is 100% written by the applicant. Hopefully by writing it themself, they've taken the time to understand what they're submitting, but it would still be better if the ideas came from the applicant.