预测下一个词无法激发真正创意，需转向互动式创作
Next Token Prediction Is a Dead End for Creativity
- 将创意视为互动过程而非单向预测
- 战歌对决中模型缺乏情感共鸣与即兴应变能力
- 适合追求真实创造力的AI交互研究者
本文认为，下一个词预测机制从根本上与真正的创造力不匹配。尽管此类模型在语言生成上取得显著进展，但其架构更倾向于表面连贯性，而非自发性、原创性与即兴冒险。我们以战歌对决为案例，揭示预测系统在对抗性或情感共鸣交流中的局限性。通过将创意重新定义为交互过程而非预测输出，提出更富表现力、响应性且契合人类创作实践的AI系统愿景。
原文摘要 · Abstract (English)
This paper argues that token prediction is fundamentally misaligned with real creativity. While next-token models have enabled impressive advances in language generation, their architecture favours surface-level coherence over spontaneity, originality, and improvisational risk. We use battle rap as a case study to expose the limitations of predictive systems, demonstrating that they cannot truly engage in adversarial or emotionally resonant exchanges. By reframing creativity as an interactive process rather than a predictive output, we offer a vision for AI systems that are more expressive, responsive, and aligned with human creative practice.
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