I give a lot of weight to Yudkowsky and adjacent people whereas it sounds like you don’t.
To be clear, I do give a lot of weight to Yudkowsky in the sense that I think his arguments make sense and I mostly believe them. Similarly, I don’t give much weight to Yann LeCun on this topic. But that’s because I can read what Yudkowsky has said and what LeCun has said and think about whether it made sense. If I didn’t speak English, so that their words appeared as meaningless noise to me, then I’d be much more uncertain about who to trust, and would probably defer to an average of the opinions of the top ML names, eg. Sutskever, Goodfellow, Hinton, LeCun, Karpathy, Benigo, etc. The thing about closely studying a specific aspect of AI (namely alignment) would probably get Yudkowsky and Christiano’s names onto that list, but it wouldn’t necessarily give Yudkowsky more weight than everyone else combined. (I’m guessing, for hypothetical non-English-speaking me, who somehow has translations for what everyone’s bottom line position is on the topic, but not what their arguments are. Basically the intuition here is that difficult technical achievements like Alexnet, GANs, etc. are some of the easiest things to verify from the outside. It’s hard to tell which philosopher is right, but easy to tell which scientist can build a thing for you that will automatically generate amusing new animal pictures.)
If I didn’t speak English, so that their words appeared as meaningless noise to me, then I’d be much more uncertain about who to trust, and would probably defer to an average of the opinions of the top ML names, eg. Sutskever, Goodfellow, Hinton, LeCun, Karpathy, Benigo, etc.
Do you think it’d make sense to give more weight to people in the field of AI safety than to people in the field of AI more broadly?
I would, and I think it’s something that generally makes sense. Ie. I don’t know much about food science but on a question involving dairy, I’d trust food scientists who specialize in dairy more than I would trust food scientists more generally. But I would give some weight to non-specialist food scientists, as well as chemists in general, as well as physical scientists in general, with the weight decreasing as the person gets less specialized.
To be clear, I do give a lot of weight to Yudkowsky in the sense that I think his arguments make sense and I mostly believe them. Similarly, I don’t give much weight to Yann LeCun on this topic. But that’s because I can read what Yudkowsky has said and what LeCun has said and think about whether it made sense. If I didn’t speak English, so that their words appeared as meaningless noise to me, then I’d be much more uncertain about who to trust, and would probably defer to an average of the opinions of the top ML names, eg. Sutskever, Goodfellow, Hinton, LeCun, Karpathy, Benigo, etc. The thing about closely studying a specific aspect of AI (namely alignment) would probably get Yudkowsky and Christiano’s names onto that list, but it wouldn’t necessarily give Yudkowsky more weight than everyone else combined. (I’m guessing, for hypothetical non-English-speaking me, who somehow has translations for what everyone’s bottom line position is on the topic, but not what their arguments are. Basically the intuition here is that difficult technical achievements like Alexnet, GANs, etc. are some of the easiest things to verify from the outside. It’s hard to tell which philosopher is right, but easy to tell which scientist can build a thing for you that will automatically generate amusing new animal pictures.)
Do you think it’d make sense to give more weight to people in the field of AI safety than to people in the field of AI more broadly?
I would, and I think it’s something that generally makes sense. Ie. I don’t know much about food science but on a question involving dairy, I’d trust food scientists who specialize in dairy more than I would trust food scientists more generally. But I would give some weight to non-specialist food scientists, as well as chemists in general, as well as physical scientists in general, with the weight decreasing as the person gets less specialized.