I think I’m in some ways confused about this. I think it’s true that the hiring situation is hard, but my priors say that this is likely to change fast[1] and that the downside risk for many people is probably low: especially in the technical side, time upskilling for AI Safety is probably not time completely wasted for the industry at large[2].
Are there any particular things you think we could do better? I think one could be just in general being less quick to suggest AIS as a career path for people who might be in risk for financial hardship as a result. Career guides in general do seem very oriented to people who can often take the risk of spending months unemployed, and doing upskilling or job hunting.[3]
Especially ML-wise. But this is probably less true (if at all) for people upskilling in AI Safety policy and governance, strategy and fieldbuilding, etc.
I predict scaling up organizations will be slow and painful rather than easy and fast. I predict organizations will have a hard time productively scaling fast, though they may be either productive or scale fast.
This seems mostly independent of funding.
(I don’t particularly disagree with the rest of the comment.)
I think this would be more the result of new orgs rather than bigger orgs? Like I would argue that we currently don’t have anything near the optimal amount of orgs dedicated to training programs, and as funding increases, we will probably get a lot of them.
I think I’m in some ways confused about this. I think it’s true that the hiring situation is hard, but my priors say that this is likely to change fast[1] and that the downside risk for many people is probably low: especially in the technical side, time upskilling for AI Safety is probably not time completely wasted for the industry at large[2].
Are there any particular things you think we could do better? I think one could be just in general being less quick to suggest AIS as a career path for people who might be in risk for financial hardship as a result. Career guides in general do seem very oriented to people who can often take the risk of spending months unemployed, and doing upskilling or job hunting.[3]
Both as a result of higher funding and people funding a lot of orgs whenever there is both excess talent and funding overhang.
Especially ML-wise. But this is probably less true (if at all) for people upskilling in AI Safety policy and governance, strategy and fieldbuilding, etc.
Something something rich western countries
I predict scaling up organizations will be slow and painful rather than easy and fast. I predict organizations will have a hard time productively scaling fast, though they may be either productive or scale fast.
This seems mostly independent of funding.
(I don’t particularly disagree with the rest of the comment.)
I think this would be more the result of new orgs rather than bigger orgs? Like I would argue that we currently don’t have anything near the optimal amount of orgs dedicated to training programs, and as funding increases, we will probably get a lot of them.
I’d also predict something similar about well functioning founding orgs.
Doing things is hard.