To be clear, despite de-upvoting, I still do like the post and think it pretty easily passes the threshold of “worth posting” :)
Understood!
Hmm, the argument I was imagining myself to be making by making that linkpost (note that it is a linkpost with mild editing to improve reading speed to my & firstuserhere’s eyes) was to attempt to reduce imagined cost of a skim to people who were putting off papers due to thinking they needed to read sequentially. For me, at least, seeing that link a few years ago was revelatory.
Perhaps I do still need to figure out what I want to say about the decision to read papers at all, then. Because it is my view that unless one is reading a lot of papers a month, you’re not going to have a very strong understanding of the manifold of deep learning programs. And they need to be well selected, diverse papers, driven by both curiosity and news, topically relevant, you likely want ai helping you find them. More or less, my view is that the strongest form of cyborgism is to get everyone up to a reading speed where they can get useful alignment-relevant stuff out of skimming research papers not directly in their part of the alignment field.
For some examples of papers I wish more people—especially ones at miri—would at least skim the abstracts to, see my papers posts.
I see. People’s decision/willingness to read papers at all seems like something plausibly worth exploring more. “Talking to users” seems like a good place to start (not that you haven’t already).
Understood!
Hmm, the argument I was imagining myself to be making by making that linkpost (note that it is a linkpost with mild editing to improve reading speed to my & firstuserhere’s eyes) was to attempt to reduce imagined cost of a skim to people who were putting off papers due to thinking they needed to read sequentially. For me, at least, seeing that link a few years ago was revelatory.
Perhaps I do still need to figure out what I want to say about the decision to read papers at all, then. Because it is my view that unless one is reading a lot of papers a month, you’re not going to have a very strong understanding of the manifold of deep learning programs. And they need to be well selected, diverse papers, driven by both curiosity and news, topically relevant, you likely want ai helping you find them. More or less, my view is that the strongest form of cyborgism is to get everyone up to a reading speed where they can get useful alignment-relevant stuff out of skimming research papers not directly in their part of the alignment field.
For some examples of papers I wish more people—especially ones at miri—would at least skim the abstracts to, see my papers posts.
see also this comment
I see. People’s decision/willingness to read papers at all seems like something plausibly worth exploring more. “Talking to users” seems like a good place to start (not that you haven’t already).