好的写作可以生成吗？通过在高质量书籍上微调，专家级AI写作得以出现
Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Books
AI总结：
通过在高质量书籍上微调，AI在模仿知名作者方面超越人类专家，引发对创作本质和未来劳动的深层思考。
摘要：
创造性写作长期以来被视为一种独特的独特的人类活动，需要声音和风格，这些是机器无法复制的。这种假设受到生成式AI的挑战，后者可以在几秒钟内模拟数千种作者的风格，而付出的边际劳动微不足道。为了更好地理解这一点，我们进行了一项行为实验，其中28名MFA作家（专家）与三个LLM在模仿50位备受好评的作者方面展开竞争。基于28名专家评委和131名普通评委的盲双盲比较，我们发现，在上下文提示条件下，专家们在82.7%的情况下更喜欢人类写作，但经过在作者完整作品上微调后，这一比例下降至62%。然而，普通评委却始终更喜欢AI写作。对专家作家的脱口访谈揭示，他们对AI写作的偏好引发了身份危机，削弱了审美信心，并质疑什么是“好的写作”。这些发现挑战了关于AI创作局限性的讨论，并提出了关于创造性劳动未来的基本问题。
英文摘要：
Creative writing has long been considered a uniquely human endeavor, requiring voice and style that machines could not replicate. This assumption is challenged by Generative AI that can emulate thousands of author styles in seconds with negligible marginal labor. To understand this better, we conducted a behavioral experiment where 28 MFA writers (experts) competed against three LLMs in emulating 50 critically acclaimed authors. Based on blind pairwise comparisons by 28 expert judges and 131 lay judges, we find that experts preferred human writing in 82.7% of cases under the in-context prompting condition but this reversed to 62% preference for AI after fine-tuning on authors' complete works. Lay judges, however, consistently preferred AI writing. Debrief interviews with expert writers revealed that their preference for AI writing triggered an identity crisis, eroding aesthetic confidence and questioning what constitutes "good writing." These findings challenge discourse about AI's creative limitations and raise fundamental questions about the future of creative labor.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
