Yeah. I’m a fan of multiple learning passes over important concepts covering various perspectives, although not necessarily of full graph exploration for its own sake except in certain sandboxed settings. When to do the passes and what perspectives would be determined by some mix of internal signals (interest/burgeoning taste and learning-by-writing, whose step 3 forcing function seems orthogonal to interest) and external signals (e.g. what end users and collaborators find useful). I do think the right amount of cramming is not zero, although not necessarily maximising concept count but rather something like forcing a viewpoint phase shift.
Yeah. I’m a fan of multiple learning passes over important concepts covering various perspectives, although not necessarily of full graph exploration for its own sake except in certain sandboxed settings. When to do the passes and what perspectives would be determined by some mix of internal signals (interest/burgeoning taste and learning-by-writing, whose step 3 forcing function seems orthogonal to interest) and external signals (e.g. what end users and collaborators find useful). I do think the right amount of cramming is not zero, although not necessarily maximising concept count but rather something like forcing a viewpoint phase shift.