Imposing alignment principles on general-purpose LLMs can inadvertently degrade performance in certain use cases. For instance, excessive toxicity suppression tailored for children’s content may hinder other applications, while attempts to eliminate demographic bias could negatively impact targeted advertising. The landscape of LLM capabilities has evolved significantly, raising important questions about the trade-offs involved in model adjustments.
