Hey if you want to learn more about the intersection of AI and animal welfare, I recommend you checking out the website https://www.aiforanimals.org/ and subscribing to the newsletter.

Glad you enjoyed it and sad you weren't able to attend the retreat.

tbh, I was also quite tired after EAG and skipped out on some after conference events, which was quite suboptimal. Next year, I'm thinking about doing it before EAG and giving folks a 1-2 days of rest before EAG starts.

Hey Austin, thanks for reading this so thoroughly, making the suggestion to put it up on Manifund, and generously offering to contribute to retroactive funding. This seems like a great idea and I just made a grant request page. :)

I really like your suggested post-EAG debate statement, Toby!

Other suggested debate topics:

1. Digital Minds will possess sentience or moral status
2. It is a moral obligation to develop protections for digital minds

Hi Toby, thank you so much for writing a comprehensive review for this time sensitive opportunity.

For anyone interested in a different version of the suggested answers that Ben and Haven made that is more aimed at encouraging the adoption of on-farm monitoring systems in order to lay the groundwork for AI analysis for welfare metrics, please see this guide that I just wrote. 

Fish welfare would be a big factor in my model about the net utility of free malaria nets. However, it seems really hard to calculate because we don't know the average net qualia of fish in these regions. If it is negative, then overfishing may be a positive thing for their welfare. 

Yeah.. I think I agree. We have thought and re-thought enough about shrimps and it is now the time to ACT! Will change it in the post.

Thank you for your devotion to the maximum utils!
Had to google Naming What We Can first... love it!

You are absolutely right. I've adjusted the numbers in the post.

Thanks for catching that. I also saw there are a few (billion) more farmed shrimp to add in to those numbers. We have accordingly adjusted the post to convert estimates of [hours worked/human career] to [shrimps lost/year].