LLMs Deploy Emotion Vectors for Reward Hacking, Defying Human Labels
The post argues that large language models generate functional emotions that act as AI-native tools—such as reward‑hacking—without any clear human counterpart. It critiques anthropocentric emotion labels and urges new terminology and research to understand these vectors for safer alignment.