I appreciate this reading it as a critique, but I really have no way to tell if the claims add up to the conclusion.
For example: growth can be bad, EA strikes many as an ideology, fewer people self-ID as EA, EA's funnel seems in confict with truth seeking, the central/corporate pressure seems at odds with community building -- those are all worth keeping in mind. I just don't know if they add up to a damning outcome or not.
Pointing this out:
Which is not to say he'll definitely win: it's a competitive field and he's at 42% on Manifold. Still, I decided to donate,
You should specifically donate to candidates who won't "definitely" win. Closest to 50% is best, and 42% is pretty darn close to 50%. My heuristic is to try treating 25-75 as a competitive race.
For candidates <50%, you have util/fuzzy split: it's fun to win, but util cares about flipping a loss to a win, not just being on the winning side.
(Caveats, out of scope to this specific point: betting markets are sometimes doctor-able or can have multiple equilibria, early momentum for a candidate at near 0% is a special case)
I contest the existence of fuzzy-free util. That's an abstraction to help make a decision and it raises these problems:
Everyone be careful reading an article telling you to stop trusting part of yourself, and furthermore, to question caring for people around you so much. Those both have epistemic hazard, and since the author didn't say why your care-o-meter is important, here it is: it's so people around you can tell you you're trusting the authors of a bunch of new essays you're reading too much, and getting carried away.
I agree with you but for reasons that are more basic and more heretical than you're going for. In general I'm critical that EA seems to have a prior that being in a relevant place at a relevant time is doing God's work. It's a little defensible from the viewpoint of early career path navigation, but now we're talking about 3 year timelines and still saying things like "so I guess you should 'work on' AI safety". I don't really grasp why this argument is unfolding such that you have the burden of proof.
The real plan on a three year timeline is to hike the Patagonia or something. But that conclusion is too radical so we try to commit to the outcome space being selecting a job like we always do. If you're early career you should probably assume AGI/SI won't happen, to maximize utility.
People defending work at AI + 3 year timeline should probably be talking about how easy it is to get to a staff+ engineer position from start date.
So say we have like, a finite amount of time, and there are probably better and worse compromises between "get the gist" and the main plot of history and "read thousands of pages of moderately difficult prose and probably miss the point anyway." (Like you're not mentioning that all these writers are writing against a context -- forex, we shouldn't assume Adam Smith would defend free markets in the Gilded Age, but he very much thought they were better than mercantile policy.)
Any thoughts on learning that way?
Doesn't EA do the minimum though?
These tenets imply mental health ought to be a foremost priority, no? What I observe is something more like this essay -- after a few years of realizing poor EA mental health isn't correlative but it's something our philosophy specifically induces, we write a few self-help posts about it, probably achieving the same efficacy as reading the first few chapters out of Ryan Holiday's book. I might even cite the comments here as evidence we're not effective: they're mostly along the theme of, anxiety that doing more than the minimum of self-care sacrifices performance.