CONCEPT

The Recoding Crisis

The structural concern Miller's framework raises about AI compression: not that learning disappears, but that the kind of learning that produces deep chunking vocabularies may be eliminated by tools that handle the activities through which recoding historically occurred.

Herbert Simon's research on chess masters and physics experts demonstrated that expertise consists of approximately fifty thousand chunks, built over approximately ten years of deliberate practice — the ten-year rule. The number is not arbitrary; it represents the amount of recoding necessary to build a chunking vocabulary comprehensive enough to handle the full range of situations a domain presents. The rule has held across domains as diverse as music composition, medical diagnosis, and software architecture. The question the present moment forces is what happens to the ten-year rule when AI compresses the activities through which recoding occurs. If a significant portion of the fifty thousand chunks were built through the struggle of implementation — through debugging, manual optimization, the slow, painful process of turning intention into working artifact — then eliminating that struggle may also eliminate a significant portion of the recoding experiences that build expertise. This is the recoding crisis: not that AI prevents learning, but that

Keep reading with YOU ON AI