Three passions, simple but overwhelmingly strong, govern my life: the longing for love, the desire to make my time on earth count, and unbearable pity for the suffering of all sentient beings. (To paraphrase Bertrand Russell.)
I’m looking for grantmaking roles in AI safety, AI x animals, and grantmaking infrastructure.
I hold an MSc in computer science, worked as a senior quantitative software engineer (16 years professional experience, 26 years total), have been in the charity space for 16 years, effective altruism for 12 years, and animal rights and AI safety for 11 years.
My top three missions are:
Increase the “surface area” of AI safety,
Support promising ideas to improve international and inter-AI coordination in the multipolar takeoff, and
Improve the strategic positioning of AI safety funders and other decision-makers during the takeoff.
I would like to pursue these and more proactively through incubation, research grants, and retroactive funding.
Previously, I launched a crowdsourced, market-based charity evaluator that efficiently finds and prefilters large numbers of giving opportunities under $100k; ran two charities whose purpose it was to fundraise through events, music, and art, and to grantmake for charities in animal rights and international development; founded EA Berlin; and worked for what is now the Center on Long-Term Risk.
You can get up to speed on my thinking at Impartial Priorities.
Surplus sounds useful!
I think everything hinges on the funding unfortunately…
Most of the projects on my list require some $200–500k in the first year to get started, and then can scale to a few million per year over time. The large-scale retrofunding needs to start higher – $10m might work, $100m works for the XPrize, $1b could be the goal.
The natural starting point is the incubator itself, which falls into the $200–500k range, but more towards the upper end to provide seed funding for the incubated projects.
Why did Guesstimate/Squiggle as for-profit not work out?
I’d love to have a call and catch up in any case! I’m curious whether you already have an opinion on whether places like DeepMind will be interested in paying for evals like the two types mentioned here (character and backdoors).