Here's a list of my donations so far this year (put together as part of thinking through whether I and others should participate in an OpenAI equity donation round).
They are roughly in chronological order (though it's possible I missed one or two). I include some thoughts on what I've learned and what I'm now doing differently at the bottom.
Total so far: ~$460k (of which $360k was my own money, and $100k Manifund's money).
Note that my personal donations this year are >10x greater than any previous year; this is because I cashed out some of my OpenAI equity for the first time. So this is the first year that I've invested serious time and energy into donating. What have I learned?
My biggest shift is from thinking of myself as donating "on behalf of the AI safety community" to specifically donating to things that I personally am unusually excited about. I have only a very small proportion of the AI safety community's money; also, I have fairly idiosyncratic views that I've put a lot of time into developing. So I now want to donate in a way which "bets on" my research taste, since that's the best way to potentially get outsized returns. More concretely:
Even more recently, I've decided that I can bet on my research taste most effectively by simply hiring research assistants to work for me. I'm uncertain how much this will cost me, but if it goes well it'll be most of my "donation" budget for the next year. I could potentially get funding for this, but at least to start off with, it feels valuable to not be beholden to any external funders.
More generally, I'd be excited if more people who are wealthy from working at AI labs used that money to make more leveraged bets on their own research (e.g. by working independently and hiring collaborators). This seems like a good way to produce the kinds of innovative research that are hard to incentivize under other institutional setups. I'm currently writing a post elaborating on this intuition.