Vibe AIGC：通过代理编排实现内容生成的新范式
Vibe AIGC: A New Paradigm for Content Generation via Agentic Orchestration
AI总结：
Vibe AIGC通过代理编排实现内容生成，解决意图-执行差距问题，推动人机协作经济变革。
摘要：
在过去十年中，生成式人工智能（AI）的发展轨迹一直由以模型为中心的范式主导，这一范式受到规模定律的驱动。尽管在视觉保真度上取得了显著进步，但这种方法却遇到了一个"可用性天花板"，表现为意图-执行差距（即创作者的高层次意图与当前单次-shot模型的随机、黑箱性质之间的根本差异）。在本文中，受Vibe编码的启发，我们引入了Vibe AIGC，一种通过代理编排实现内容生成的新范式，它代表了分层多代理工作流的自主合成。在这一范式下，用户的角色超越了传统的提示工程，演变为指挥官，提供一种Vibe，即包含审美偏好、功能逻辑等的高层次表示。一个中央化的元规划器则作为系统架构师，将这种"Vibe"分解为可执行、可验证和适应性的代理流水线。通过从随机推断转向逻辑编排，Vibe AIGC弥合了人类想象力与机器执行之间的差距。我们认为这种转变将重新定义人机协作经济，使AI从脆弱的推断引擎转变为稳健的系统级工程伙伴，从而民主化复杂、长周期数字资产的创建。
英文摘要：
For the past decade, the trajectory of generative artificial intelligence (AI) has been dominated by a model-centric paradigm driven by scaling laws. Despite significant leaps in visual fidelity, this approach has encountered a ``usability ceiling'' manifested as the Intent-Execution Gap (i.e., the fundamental disparity between a creator's high-level intent and the stochastic, black-box nature of current single-shot models). In this paper, inspired by the Vibe Coding, we introduce the \textbf{Vibe AIGC}, a new paradigm for content generation via agentic orchestration, which represents the autonomous synthesis of hierarchical multi-agent workflows. Under this paradigm, the user's role transcends traditional prompt engineering, evolving into a Commander who provides a Vibe, a high-level representation encompassing aesthetic preferences, functional logic, and etc. A centralized Meta-Planner then functions as a system architect, deconstructing this ``Vibe'' into executable, verifiable, and adaptive agentic pipelines. By transitioning from stochastic inference to logical orchestration, Vibe AIGC bridges the gap between human imagination and machine execution. We contend that this shift will redefine the human-AI collaborative economy, transforming AI from a fragile inference engine into a robust system-level engineering partner that democratizes the creation of complex, long-horizon digital assets.
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。
