For one, I think opening up the decision making on which problems to work on would be extremely helpful. Or more publicity to scientists around it. I’d like the support ai for science but largely never know where to start
Deciding what is desirable / acceptable in the pursuit of knowledge is a philosophical / political question, which we don't address here directly, and of course extends beyond private sector labs. But some of the activities we discuss, such as problem selection, responsibility and monitoring could help identify and manage some of the implicit risks attached to picking problems/approaches to working on those problems.
Of course in other areas, the current challenge is too little knowledge rather than too much knowledge, and in many areas of science the more we learn, the less we know, as we just open up entirely new worlds of complexity. Are there specific areas that you have in mind Phil, when you call for limits?
This is such a wonderful piece, I hope to see more of this
Thanks Austin. More to come!
I really enjoy this as a direction for big tech policy teams, when a lot of times it feels like just damage control.
For one, I think opening up the decision making on which problems to work on would be extremely helpful. Or more publicity to scientists around it. I’d like the support ai for science but largely never know where to start
“Tell the stories”
This is an excellent writeup. Thank you for taking the time to write this
Thanks Devansh! We're big fans of your newsletter, so that means a lot.
No way. We should collab on a few posts.
Yes!
Shooting you a message right now
Deciding what is desirable / acceptable in the pursuit of knowledge is a philosophical / political question, which we don't address here directly, and of course extends beyond private sector labs. But some of the activities we discuss, such as problem selection, responsibility and monitoring could help identify and manage some of the implicit risks attached to picking problems/approaches to working on those problems.
Of course in other areas, the current challenge is too little knowledge rather than too much knowledge, and in many areas of science the more we learn, the less we know, as we just open up entirely new worlds of complexity. Are there specific areas that you have in mind Phil, when you call for limits?