We propose a fully automated AI system that produces short comedic videos similar to sketch shows such as Saturday Night Live. Starting with character references, the system employs a population of agents loosely based on real production studio roles, structured to optimize the quality and diversity of ideas and outputs through iterative competition, evaluation, and improvement. A key contribution is the introduction of LLM critics aligned with real viewer preferences through the analysis of a corpus of comedy videos on YouTube to automatically evaluate humor. Our experiments show that our framework produces results approaching the quality of professionally produced sketches while demonstrating state-of-the-art performance in video generation.

翻译：我们提出了一种全自动人工智能系统，能够生成类似于《周六夜现场》等小品节目的短篇喜剧视频。该系统以角色设定为起点，采用一组基于真实制片工作室角色构建的智能体群体，通过迭代竞争、评估和改进的机制，优化创意与输出内容的质量及多样性。关键贡献在于引入了基于真实观众偏好对齐的大型语言模型评论家：通过分析YouTube平台上的喜剧视频语料库，实现对幽默元素的自动评估。实验表明，该框架生成的视频质量接近专业制作的小品水平，同时在视频生成任务中展现出最先进的性能表现。