The piece argues that contemporary AI has reached a “Chabuduo” or “good enough” threshold: across many intellectual domains people can now get outputs sufficient for practical use without mastering underlying skills. It frames a looming “Stockfish moment” for fields where AI will eventually outperform humans so utterly that human effort can only degrade results. The text stresses that genuine expertise takes hundreds to thousands of hours and automaticity that can’t be speedrun - illustrated by a failed rapid chess-learning gambit against Magnus Carlsen and by educational tools that accelerate learning but cannot recreate deep, practiced fluency. AI doesn’t supercharge mastery; it short-circuits the learning process and produces familiarity without true proficiency.
Concrete consequences follow: creators who adopt AI (the writer cites using AI for cover art) will likely never develop distinctive technical styles, programmers already report abandoning hand-editing code, and many professionals rationally outsource tasks to get better immediate outputs at the cost of skill atrophy. Empirical signals include a study-based graph showing homework scores anti-correlating with exam performance in Chinese schools and reports of mass use of AI in a university class. The piece concludes that as AI becomes sufficient for more tasks, thousands-hour skills will lose devotees, shifting human roles toward managerial “directing” of models while core capacities in many domains wither.
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