I remember reading something about reasoning through a very simple (couple of divisions or something) math problem, where a deliberately (and later obviously) wrong working-out was initially defined, then corrected, to illustrate the importance of end-to-end understanding.
On the other hand,
a) Programming is equivalently complicated to "two-story-high whiteboard full of Greek letters and integration functions", but is never acknowledged by industry as such because of the associated responsibility nobody wants anything to do with
b) We live in a world where entire industries - ML-based AI - are literally!! based on the idea of not understanding the structure of the solution to the problem.
I remember reading something about reasoning through a very simple (couple of divisions or something) math problem, where a deliberately (and later obviously) wrong working-out was initially defined, then corrected, to illustrate the importance of end-to-end understanding.
On the other hand,
a) Programming is equivalently complicated to "two-story-high whiteboard full of Greek letters and integration functions", but is never acknowledged by industry as such because of the associated responsibility nobody wants anything to do with
b) We live in a world where entire industries - ML-based AI - are literally!! based on the idea of not understanding the structure of the solution to the problem.