There’s a type of theory I’d call a “Highlevel Index” into an information body, for example, Predictive Processing is a highlevel index for Neurology, or Natural Selection is a highlevel index for Psychology, or Game Theory and Signaling Theory are highlevel indexes for all kinds of things.
They’re tools for delving into information bodies. They give you good taste for lower level theories, a better feel for what pieces of knowledge are and aren’t predictive. If you’re like me, and you’re trying to study Law or Material Science, but you got no highlevel indexes for these domains, you’re left standing there, lost, without evaluability, in front of a vast sea of lower-level more detailed knowledge. You could probs make iterative bottom up progress by layer for layer absorbing detail-info and synthesizing or discovering higher-level theories from what you’ve seen, but that’s an unknown and unknowable-feeling amount of work. Standing at the foot of the mountain, you’re not feeling it. There’s no affordance waiting to be grasped.
One correct framing here is that I’m whining because not all learning is easy.
But also: I do believe the solutionspace ceilng here is much higher than we notice, and that marginal exploration is worth some opportunity cost.
So!
Besides what’s common knowledge in rat culture, what are your fave highlevel indexes?
What non-redundant authors besides Eliezer & co talk a lot in highlevel indexes?
Are there established or better verbal pointers to highlevel indexes?
(Vague musing)
There’s a type of theory I’d call a “Highlevel Index” into an information body, for example, Predictive Processing is a highlevel index for Neurology, or Natural Selection is a highlevel index for Psychology, or Game Theory and Signaling Theory are highlevel indexes for all kinds of things.
They’re tools for delving into information bodies. They give you good taste for lower level theories, a better feel for what pieces of knowledge are and aren’t predictive. If you’re like me, and you’re trying to study Law or Material Science, but you got no highlevel indexes for these domains, you’re left standing there, lost, without evaluability, in front of a vast sea of lower-level more detailed knowledge. You could probs make iterative bottom up progress by layer for layer absorbing detail-info and synthesizing or discovering higher-level theories from what you’ve seen, but that’s an unknown and unknowable-feeling amount of work. Standing at the foot of the mountain, you’re not feeling it. There’s no affordance waiting to be grasped.
One correct framing here is that I’m whining because not all learning is easy.
But also: I do believe the solutionspace ceilng here is much higher than we notice, and that marginal exploration is worth some opportunity cost.
So!
Besides what’s common knowledge in rat culture, what are your fave highlevel indexes?
What non-redundant authors besides Eliezer & co talk a lot in highlevel indexes?
Are there established or better verbal pointers to highlevel indexes?