Hmmm, maybe your distinction is something like “conceptual” = “we are explicitly and unabashedly talking about AGI & superintelligence” and “applied” = “we’re mainly talking about existing algorithms but hopefully it will scale”??
Taking your work as an example, I would put Value loading in the human brain: a worked example as applied alignment research (where the field you’re adapting for alignment is neuroscience/cognitive science) and Thoughts on safety in predictive learning as conceptual alignment research (even though the latter does talk about existing algorithms to a great extent).
Hmmm, maybe your distinction is something like “conceptual” = “we are explicitly and unabashedly talking about AGI & superintelligence” and “applied” = “we’re mainly talking about existing algorithms but hopefully it will scale”??
Agreed that the clusters look like that, but I’m not convinced it’s the most relevant point. The difference of methods seems important too.
Taking your work as an example, I would put Value loading in the human brain: a worked example as applied alignment research (where the field you’re adapting for alignment is neuroscience/cognitive science) and Thoughts on safety in predictive learning as conceptual alignment research (even though the latter does talk about existing algorithms to a great extent).