I am a university student in computer science. My plan is to earn to give via SWE/ML because I don’t think there is enough opportunity in AI safety. Someone on the forum said there were ballpark 70 AI safety roles in 2023. Meanwhile, SPAR got like 600 applications last round. MATs has a 1% acceptance rate. AI safety is very competitive. However, I think most AIS researchers work under grant funding which surely cannot pay as well as an earning to give tech job. Surely I could do more good earning to give by funding multiple AIS researchers who would have otherwise chosen a different research field.
Rob Wiblin and a few others said that in the ideal world, only 15% of EAs earn to give. But I can’t understand the reasoning
I am looking for opinions, please comment if you have any.
sorry for the late reply. SWE/ML is low absorbency in a sense that there are a limited number of AIS orgs that can employ people. They are high absorbency if you want to use these skills to do earning to give. Hope that clarifies what I meant!