📄 中文摘要
在将人工智能技术应用于产品时，初衷通常是希望其表现出色，能够生成更好的文本和更有趣的结果。然而，当这些功能进入实际工作流程后，用户的关注点从“这是否有趣”转变为“我能否依赖这个”。此时，许多AI功能开始面临挑战。创造力在探索性环境中是有价值的，但在实际应用中，可靠性显得更加重要。用户需要的是稳定、一致的输出，而非仅仅是创新和变化。
为什么输出一致性胜过“创造力”
出处: Why Output Consistency Beats “Creativity”
发布: 2026年3月30日
📄 English Summary
Why Output Consistency Beats “Creativity”
When AI is first integrated into products, the primary goal is often to impress users with better text generation and more interesting results. However, as these features transition into real workflows, the focus shifts from 'Is this interesting?' to 'Can I rely on this?'. This is where many AI features begin to struggle. While creativity is valuable in exploratory contexts, reliability becomes paramount in practical applications. Users prioritize consistent and dependable outputs over mere novelty and variation.