Reading ML papers seems like a pretty useful skill. They’re quite different from blog posts, less philosophical and more focused on proving that their methods actually result in progress. Over time, they’ll teach you what kinds of strategies tend to succeed in ML, and which ones are more difficult, helping you build an inside view of different alignment agendas. MLSS has a nice list of papers, and weeks 3 through 5 of AGISF have particularly good ones too.
Reading ML papers seems like a pretty useful skill. They’re quite different from blog posts, less philosophical and more focused on proving that their methods actually result in progress. Over time, they’ll teach you what kinds of strategies tend to succeed in ML, and which ones are more difficult, helping you build an inside view of different alignment agendas. MLSS has a nice list of papers, and weeks 3 through 5 of AGISF have particularly good ones too.