Opinion: AI labs' coding focus creates a cycle making models better at code but worse at writing
BLUECOW009 · x · 2026-08-10
An argument highlights that the majority of profits for AI labs currently stem from coding tasks, with developers being the most active daily users.
This commercial incentive forces AI companies to focus heavily on code and math during model training. This creates a self-reinforcing cycle: models will continue to excel in coding but potentially degrade in their natural writing capabilities, making their outputs increasingly incomprehensible to non-technical users.
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