EA lurker, hi. I ranked first and second two that I’ve donated to this year so had already researched. First ALLFED which I’ve been a fan of and donated to for years. As far as I know truly a neglected area, don’t know of a comparable effort. Hope the D never happens but cool learnings regardless. Second Center for Election Science which I’m highly uncertain has a big marginal impact (I’m not sure approval or score voting will obtain significantly more optimal outcomes given noise) but I feel like the established and usual alternative systems represent a kind of lack of ambition that is paralyzing. After that I skimmed the posts about every candidate (enjoyable) and mostly ranked in tiers starting with health, then animals, then meta EA, then AI, and within the tiers mostly concrete interventions over evaluative or resource-to-field causes. Though I appreciate the need for eval/meta I feel like there are so many no brainer inteventions that I’m less convinced field building/effectiveness are more beneficial. AI last because I think the most important AI prep is not about AI but rather good governance/inclusive institutions/disaster resilience that will pay off regardless of timelines (any of which I consider highly speculative), and it wasn’t apparent to me that any of the causes mentioning AI took that non-AI path.
EA lurker, hi. I ranked first and second two that I’ve donated to this year so had already researched. First ALLFED which I’ve been a fan of and donated to for years. As far as I know truly a neglected area, don’t know of a comparable effort. Hope the D never happens but cool learnings regardless. Second Center for Election Science which I’m highly uncertain has a big marginal impact (I’m not sure approval or score voting will obtain significantly more optimal outcomes given noise) but I feel like the established and usual alternative systems represent a kind of lack of ambition that is paralyzing. After that I skimmed the posts about every candidate (enjoyable) and mostly ranked in tiers starting with health, then animals, then meta EA, then AI, and within the tiers mostly concrete interventions over evaluative or resource-to-field causes. Though I appreciate the need for eval/meta I feel like there are so many no brainer inteventions that I’m less convinced field building/effectiveness are more beneficial. AI last because I think the most important AI prep is not about AI but rather good governance/inclusive institutions/disaster resilience that will pay off regardless of timelines (any of which I consider highly speculative), and it wasn’t apparent to me that any of the causes mentioning AI took that non-AI path.