I think this is a totally reasonable argument, and you can add a piece that’s about personal fit. Like 80,000 hours has pretty arbitrarily guesstimated how heavily one ought to weigh personal fit in career choice, slapped some numbers on it and published it in a prioritization scale that people take too seriously sometimes and doesn’t actually make sense if you actually look at what some of the numbers imply (ie everybody should work on AI safety even if an actively bad fit).
But if you start by weighing personal fit more highly, there becomes a case for saying “ok, I happen to care a lot about climate change, so even if it’s not the highest priority cause, it’s still what I personally ought to work on. And I need guidance about how to move the needle on climate change.” And if you start from there you can still do a whole EA solutions prioritization analysis just taking for granted that it will be 100% climate change focused.
Personally I suspect that’s a good solution—we have great ideas about how to prioritize stuff but I’m not very optimistic about our ability to fundamentally change what causes people work on. Like maybe people should work on AI x risk even if they’re an actively bad fit, but they won’t, and we shouldn’t waste time trying to convince them to. Instead we should just create a great on-ramp for people who are interested in AI safety and a second great on-ramp for people who are interested in climate change. Figure out where people are and are not flexible in what they work on and target that.
I think this is a totally reasonable argument, and you can add a piece that’s about personal fit. Like 80,000 hours has pretty arbitrarily guesstimated how heavily one ought to weigh personal fit in career choice, slapped some numbers on it and published it in a prioritization scale that people take too seriously sometimes and doesn’t actually make sense if you actually look at what some of the numbers imply (ie everybody should work on AI safety even if an actively bad fit).
But if you start by weighing personal fit more highly, there becomes a case for saying “ok, I happen to care a lot about climate change, so even if it’s not the highest priority cause, it’s still what I personally ought to work on. And I need guidance about how to move the needle on climate change.” And if you start from there you can still do a whole EA solutions prioritization analysis just taking for granted that it will be 100% climate change focused.
Personally I suspect that’s a good solution—we have great ideas about how to prioritize stuff but I’m not very optimistic about our ability to fundamentally change what causes people work on. Like maybe people should work on AI x risk even if they’re an actively bad fit, but they won’t, and we shouldn’t waste time trying to convince them to. Instead we should just create a great on-ramp for people who are interested in AI safety and a second great on-ramp for people who are interested in climate change. Figure out where people are and are not flexible in what they work on and target that.