In the Post-Turing era, artificial intelligence increasingly shapes social coordination and meaning formation rather than merely automating cognitive tasks. The central challenge is therefore not whether machines become conscious, but whether processes of interpretation and shared reference are progressively automated in ways that marginalize human participation. This paper introduces the PRMO framework, relating AI design trajectories to four constitutive dimensions of human subjectivity: Perception, Representation, Meaning, and the Real. Within this framework, Synthetic Sociality denotes a technological horizon in which artificial agents negotiate coherence and social order primarily among themselves, raising the structural risk of human exclusion from meaning formation. To address this risk, the paper proposes Quadrangulation as a design principle for socially embedded AI systems, requiring artificial agents to treat the human subject as a constitutive reference within shared contexts of meaning. This work is a conceptual perspective that contributes a structural vocabulary for analyzing AI systems at the intersection of computation and society, without proposing a specific technical implementation.

翻译：在后图灵时代，人工智能日益塑造着社会协调与意义形成过程，而非仅仅自动化认知任务。因此，核心挑战不在于机器是否具备意识，而在于解释与共享指涉的过程是否正以逐渐边缘化人类参与的方式被自动化。本文引入PRMO框架，将人工智能设计轨迹与人类主体性的四个构成维度——感知、表征、意义与实在——联系起来。在此框架内，合成社会性指代一种技术前景，即人工智能体主要在彼此间协商一致性与社会秩序，从而引发人类被排除在意义形成之外的结构性风险。为应对此风险，本文提出四方校验作为社会嵌入式人工智能系统的设计原则，要求人工主体在共享意义语境中将人类主体视为构成性参照。本工作是一种概念性视角，为分析计算与社会交叉领域的人工智能系统贡献了一套结构性词汇，而未提出具体的技术实现方案。