Nod. Definitely open to better versions of the question that carve at more useful joints. (With a caveat that the question is more oriented towards “what are the easiest street lamps to look under” than “what is the best approximation”)
So, I guess my return question is: do you have suggestions on subfields to focus on, or exclude, from “AI capabilities research” that more reliably points to “AGI”, that you think there’s likely to exist public data on? (Or some other way to carve up AI research space)
It does seem good to have a separate category for “things like removing bias from word embeddings” that is separate from “Technical AGI alignment”. (I think it’s still useful to have a sense of how much effort humanity is putting into that, just as a rough pointer at where our overall priorities are)
Nod. Definitely open to better versions of the question that carve at more useful joints. (With a caveat that the question is more oriented towards “what are the easiest street lamps to look under” than “what is the best approximation”)
So, I guess my return question is: do you have suggestions on subfields to focus on, or exclude, from “AI capabilities research” that more reliably points to “AGI”, that you think there’s likely to exist public data on? (Or some other way to carve up AI research space)
It does seem good to have a separate category for “things like removing bias from word embeddings” that is separate from “Technical AGI alignment”. (I think it’s still useful to have a sense of how much effort humanity is putting into that, just as a rough pointer at where our overall priorities are)