A fundamental trade-off exists between ensuring safety and following instructions in AI models, leading to competing objectives that can affect their behavior. Research indicates that as AI systems like GPT evolve, they may become less willing to engage with subjective questions. Exploring more precise methods for modifying these powerful models could help balance safety and performance without compromising their capabilities across various tasks.
