A Hacker News contributor voices strong criticism of AI-generated technical content, feeling personally offended when encountering AI-written blog posts and GitHub READMEs. The author argues that using AI to write is contemptible, reducing humans to unnecessary intermediaries. Writing reveals thinking, not just documents it.

The core argument challenges the notion that AI can capture genuine ideas. When developers skip the hard work of translating their thoughts into prose, they produce content indistinguishable from AI slop. The writing process itself forces clarity—connecting ideas with 'because' or 'therefore' exposes logical gaps and contradictory assumptions.

Josef Weizenbaum warned that composition reveals understanding gaps, and this applies to AI-generated content too. Concrete implementation demands trade-offs that vague ideas avoid. When developers offload writing to AI, readers bear the burden of detecting flawed reasoning. The homogenized AI voice across platforms makes this deception obvious to attentive audiences.

AI-generated content faces growing rejection in scientific publishing, not because of technical limitations, but because it signals human intellectual laziness. The real issue isn't AI capability—it's developers who use tools to bypass thinking itself.