dailyai.report

Writing an AI textbook reveals a gap between filler copy and high-voice non-fiction. Nathan Lambert argues that refining LLMs as tools reduces their ability to produce inspiring, point-of-view driven prose. While models excel at generic text, they lack the human thinking process required for deep expression. Practitioners should expect continued limitations in complex, authoritative authorship.