I never curated this when it first appeared, but I’m curating it now to give people an extra nudge to read or skim the post and explore the methodology. And of course, the visualizations are excellent. (Thanks so much for working on this project, all!)
One reason I’m curating this right now is that the discussion around Why Neuron Counts Shouldn’t Be Used as Proxies for Moral Weight (both in the comments and in conversations I’ve had about the post since) seems to often center on considerations like, “ok, neuron counts are great, but we need to use something and it’s not clear what to use.” I think this post offers a concrete counter-proposal.
Assorted other things I like (non-exhaustive list):
Being clear on the limitations of the information presented (there are very few negative results, etc.), or potential biases that might have influenced it
The spreadsheet is really well presented, and I really appreciate the fact that you’ve given readers the chance to explore it and follow the sources
Maybe this is obvious, but the core subject of the post is extremely important and a point of uncertainty or disagreement with a lot of people. That’s great.
Thank you, Lizka! We really appreciate your drawing attention to our work. In January, we’ll propose a way to aggregate all this information to generate welfare range estimates. In the interim, there’s a bit more ground-clearing to do.
I never curated this when it first appeared, but I’m curating it now to give people an extra nudge to read or skim the post and explore the methodology. And of course, the visualizations are excellent. (Thanks so much for working on this project, all!)
One reason I’m curating this right now is that the discussion around Why Neuron Counts Shouldn’t Be Used as Proxies for Moral Weight (both in the comments and in conversations I’ve had about the post since) seems to often center on considerations like, “ok, neuron counts are great, but we need to use something and it’s not clear what to use.” I think this post offers a concrete counter-proposal.
Assorted other things I like (non-exhaustive list):
Being clear on the limitations of the information presented (there are very few negative results, etc.), or potential biases that might have influenced it
The spreadsheet is really well presented, and I really appreciate the fact that you’ve given readers the chance to explore it and follow the sources
Maybe this is obvious, but the core subject of the post is extremely important and a point of uncertainty or disagreement with a lot of people. That’s great.
Thank you, Lizka! We really appreciate your drawing attention to our work. In January, we’ll propose a way to aggregate all this information to generate welfare range estimates. In the interim, there’s a bit more ground-clearing to do.