jackchang110
Bio
Participation1
How others can help me
A 19-year-old man deciding if he should double major in dentistry and CS(takes 8 years) or single major on CS(4 years). Currently suffering from knowing the feasibility of working in non-EA world to reduce AI s-risks
How I can help others
I'd be willing to spend time discuss with you on anything related to EA and serve as a thinking partner ( especially s-risks and career planning)
Posts 39
Comments67
Hello Jeff,
Thanks a lot for your reply. I'm really grateful for it.
I think you're right that double majoring in dentistry for an extra 4 years is a risk. For example, if a human-level AGI robot comes in 10 years, dentists might be replaced. However, not studying dentistry could also be a risk if human-level AGI comes slowly — for instance, if AGI isn’t developed in the next 30 years. In that case, dentists probably won’t be replaced for 30 years. But the average CS engineer’s salary may decrease significantly in just 5 years.
You’re right that management is important, but if I’m average at management and I can't be expert at any useful things, dentistry might be the only path where I can have significant impact (by earning to give).
That’s the reason I’m wondering whether the contribution of an average direct worker may be significantly lower than that of dentists donating $80,000 a year. (However, I’m really uncertain about this. I’d be grateful if you’d like to share your thoughts on it.)
Hello Jeff: (I'm a big fan of your writings).
I'm a college freshman deciding between double majoring in CS and dentistry (8 years total) or majoring only in CS (4 years). Although dentistry isn't useful for reducing AI risks and isn't quite interesting to me, the main appeal is adding another earning-to-give route as a dentist.
However, I'm not asking whether I should pursue dentistry. I'd like to isolate one key sub-question here:
If the fat-tailed distribution of impact holds true(as picture below), an average direct worker's contribution may be negligible compared to the talented (though I'm uncertain). Therefore, if my ability in AI risks direct work turns out average compared to other EA people in future, how would you compare an average direct AI risks worker's contribution to a dentist who donates an extra $80,000 per year?
Instead of asking which is better, I'd ask: How do you personally evaluate this trade-off?
I've been thinking for like 300 hours and I feel like hitting diminishing returns from isolated thinking.
Therefore, please don't aim for a correct or rigorous answer. Replies of 1-minute gut intuitions as short as “My main crux is X” or “I think you may be neglecting Y” would already be extremely helpful. Thank you very much.
Hello Roman: I'm Jack, I think it's postively related but not 100% accurate. For example, if an EA organizations is funding constraint, it may decrease its salary and if an EA org is rich it may be more willing to provide high salary. The impact of the former seems not to be less because of lower salary. (Though, working in a funding constraint company may have lower impact compared to donating money to it)
Hello Jonas: I'm Jack, It's a tough question and I'm also thinking of the answer. However, I want to say your question is really important for EA. For myself, I quit watching NBA(basketball games) everyday and turn to watch NBA paper magazines recently, I found it significantly improved my concentration and productivity. Maybe you can consider check out a topic in EA forum which is called"Productivity" to give you more ideas.
Hello Davey: As I know the closest thing is EA anywhere Slack. You could google it and apply joining it. I resonante with you a lot because I'm also looking for EA poeple to connect and discuss with. However a harsh reality is that it seems most EA people are very busy to reply other's messages/mails.
Welcome you to contact me by DM me on EA Forum if you have anything related to EA to ask/ discuss. Though I'm definitely not an EA expert, but recently I have time to discuss.
Thanks for your answering a lot.
1. Yes, of course we don't completely know. However 80000 hours has written in their research that even if we are talking on "ex-ante" expected distribution of people, it's probably still fat- tailed distribution. Therefore, it's possible we "often" know who's going to be in fat tailed and who's probably not.
2.I've heard of this heuristic. However in my case, I have to predict in advance. (I can't work in a non-profit now since I'm only 19). Also, it's probable you reduce AI risks in the non-EA world. In that case, your marginal impact isn't the gap of you and the second best applying the job.
Some additional thoughts: We often talk about personal fit, but would my comparative advantage/personal fit be earn-to-give as a dentist in the future? If I end up only aver ge at direct work, while dentistry would let me donate $80,000 per year, then that means I could fund one independent researcher who failed getting EA granting. If he's more talented than me, then donating may have more impact.
Also, if you think this question is not meaningful, feel free to tell me why.
It's interesting and is actually an under discussed but important topic in EA community.
However, I think you could compare direct work vs donating to support AI safety research directly, not donating Givewell(which mainly focus on improving global health) Because for some people, donating to longtermism funds is much more effective than GiveWell.