TL;DR
NOVAH (No Violence At Home) was incubated by Charity Entrepreneurship (now Ambitious Impact) in 2024 to test a promising idea: preventing intimate partner violence through edutainment, in our case a serialised radio drama. Over the past two years we have produced and aired two seasons in Rwanda.
We are currently evaluating our second season through a randomized controlled trial with 2,400 couples in Rwanda in partnership wi...
TL;DR
* The Long-Term Future Fund is closing down, and EA Funds is launching the Transformative AI Fund with a new full-time team.
* The fund's primary focus is technical AI safety and AI governance (including post-AGI governance), as well as supporting fields such as field-building and forecasting. We'll also consider non-GCR implications of transformative AI such as flourishing futures and digital...
The current Long Term Future Fund (LTFF) fund managers and I have decided to step back from our work on the LTFF. Because we believe LTFF donors trusted the fund managers to ensure that the funds would be used in line with the purposes of their donation, we've decided the right move is to close the fund.
While LTFF is closing, note that EA Funds has launched a new fund...
As part of MATS' compensation reevaluation project, I scraped the publicly declared employee compensations from ProPublica's Nonprofit Explorer for many AI safety and EA organizations (data here) in 2019-2023. US nonprofits are required to disclose compensation information for certain highly paid employees and contractors on their annual Form 990 tax return, which becomes publicly available. This includes compensation for officers, directors, trustees, key employees, and highest compensated employees earning over $100k annually. Therefore, my data does not include many individuals earning under $100k, but this doesn't seem to affect the yearly medians much, as the data seems to follow a lognormal distribution, with mode ~$178k in 2023, for example.
I generally found that AI safety and EA organization employees are highly compensated, albeit inconsistently between similar-sized organizations within equivalent roles (e.g., Redwood and FAR AI). I speculate that this is primarily due to differences in organization funding, but inconsistent compensation policies may also play a role.
I'm sharing this data to promote healthy and fair compensation policies across the ecosystem. I believe that MATS salaries are quite fair and reasonably competitive after our recent salary reevaluation, where we also used Payfactors HR market data for comparison. If anyone wants to do a more detailed study of the data, I highly encourage this!
I decided to exclude OpenAI's nonprofit salaries as I didn't think they counted as an "AI safety nonprofit" and their highest paid current employees are definitely employed by the LLC. I decided to include Open Philanthropy's nonprofit employees, despite the fact that their most highly compensated employees are likely those under the Open Philanthropy LLC.