Technical abstractionization is truly the trend. Renowned computer scientist Stephen Wolfram pointed out that AI will not make jobs disappear, but will instead accelerate the obsolescence of "underlying mechanism learning."

Think about our programming history—from assembly language to today's high-level languages, each leap is about abstracting complexity. You don't need to understand how the CPU works or how memory is allocated; the code you write still runs. Wolfram straightforwardly said, "You don't have to be rooted in the low-level... that stuff is already useless."

This logic also applies to AI. When AI can handle low-level logic, human advantages shift toward higher-dimensional creativity and decision-making. Technology is always evolving to higher levels, and what we need to do is keep up with this pace.