Claude's attribution errors show LLM reliability gaps for content work

A developer documented cases where Claude misattributes quotes and ideas to the wrong people—a problem that matters if you're building tools that rely on AI for research, writing, or fact-checking. The post highlights why LLM output still needs human verification, especially for anything where accuracy carries consequences.