Thanks very much for your answering, I’m very grateful for it. I think bascially your idea is “The impact of AI risks research is fat-tailed”. But there’s still a question: If there are money left, and 80% of people aren’t funded, why don’t you fund them even though they have little impact? Maybe you’ll say we should save money, but will the AI risks researchers in the future be much more capable than now? In other words, if the funding bar is still that high, is it probable 10 years later, still 80% of people can’t reach the funding bar and do direct work?
It seems many unfunded s-risks researchers are already senior(have 5+ years of experience), which means even if they have 10 years more, they probably wouldn’t get more capable and pass the funding bar. But I’m unceratin and welcome to criticize this idea.
Thanks very much for your answering, I’m very grateful for it. I think bascially your idea is “The impact of AI risks research is fat-tailed”. But there’s still a question: If there are money left, and 80% of people aren’t funded, why don’t you fund them even though they have little impact? Maybe you’ll say we should save money, but will the AI risks researchers in the future be much more capable than now? In other words, if the funding bar is still that high, is it probable 10 years later, still 80% of people can’t reach the funding bar and do direct work?
It seems many unfunded s-risks researchers are already senior(have 5+ years of experience), which means even if they have 10 years more, they probably wouldn’t get more capable and pass the funding bar. But I’m unceratin and welcome to criticize this idea.