This looks so cool! Good luck!!!
Abby Babby
Karma: 2,013
This course sounds cool! Unfortunately there doesn’t seem to be too much relevant material out there.
This is a stretch, but I think there’s probably some cool computational modeling to be done with human value datasets (e.g., 70,000 responses to variations on the trolley problem). What kinds of universal human values can we uncover? https://www.pnas.org/doi/10.1073/pnas.1911517117
For digestible content on technical AI safety, Robert Miles makes good videos. https://www.youtube.com/c/robertmilesai
Thanks for the clarification, too many Carnegies!
From what I understand, the MacArthur foundation was one of the main funders of nuclear security research, including at the Carnegie Endowment for International Peace, but they massively reduced their funding of nuclear projects and no large funder has replaced them. https://www.macfound.org/grantee/carnegie-endowment-for-international-peace-2457/
(I’ve edited this comment, I got confused between the MacArthur foundation and the various Carnegie philanthropic efforts.)
Sounds like we need some people to make some comments!!!!!
Wow, this seems like really great news!
This is so, so, so, wonderful! Thanks for organizing such a fantastic event, as well as sharing all this analysis/feedback/reflection. I want to go next year!!!!
EA Funds That Exist 2024 (Linkpost)
So glad somebody is finally fixing Swapcard!
Any plans to have this printed on t shirts?
Would the new CEA be considered EA adjacent?
These are great things to check! It’s especially important to do this kind of due diligence if you’re leaving your support network behind (e.g. moving country). Thanks for spelling things out for people new to the job market ❤️
Thanks so much for sharing this, Michelle! It’s always strange to visit our past selves, remembering who we used to be and thinking about all of the versions of ourselves we chose not to become.
I’m glad you became who you are now ❤️
Hahaha, thanks for posting!! :)
This is a really interesting question! Unfortunately, it was posted a little too late for me to run it by the team to answer. Hopefully other people interested in this topic can weigh in here. This 80k podcast episode might be relevant? https://80000hours.org/podcast/episodes/michael-webb-ai-jobs-labour-market/
This is an interesting idea! I don’t know the answer.
Thanks for the interesting questions, but unfortunately, they were posted a little too late for the team to answer. Glad to hear writing them helped you clarify your thinking a bit!
On calls, the way I do this is not assume people are part of the EA community, and instead see what their personal mindset is when it comes to doing good.
I think 80k advisors give good advice. So I hope people take it seriously but not follow it blindly.
Giving good advice is really hard, and you should seek it out from many different sources.
You also know yourself better than we do; people are unique and complicated, so if we give you advice that simply doesn’t apply to your personal situation, you should do something else. We are also flawed human beings, and sometimes make mistakes. Personally, I was miscalibrated on how hard it is to get technical AI safety roles, and I think I was overly optimistic about acceptance rates at different orgs. I feel really badly about this (my mistakes were pointed out by another advisor and I’ve since course corrected), just being explicit that we do make mistakes!
This is a really complex space with lots of moving parts; very cool to see how you’ve compiled/analyzed everything! Haven’t finished going through your report yet, but it looks awesome :)