<p>The emergence of artificial intelligence and the digital twin has accelerated the development of machine tools toward intelligence. The digital twin–based intelligent machining system combines advanced sensor-related technology, expert knowledge, and computing technology to facilitate the enhancement of quality traceability and production efficiency improvement. However, most of the current studies on digital twin–based intelligent machining processes concentrate on either the data analysis of machining conditions or the kinematics and dynamics of machine tools, without paying much attention to the enhancement of intelligence for digital twin services in intelligent CNC machining. This paper proposes a novel framework for the development of the digital twin machining system, a data processing procedure constructed from autonomous sensing and connection, autonomous learning and modeling, autonomous optimization and decision-making, and autonomous control and execution. On this basis, a hyperautomated digital twin system can be constructed. In terms of the implementation, the construction procedure of digital twins for the machining process and the manufacturing process is introduced. The results indicate that the proposed method enables hyperautomation in the digital twin modeling process, thus enhancing the modeling intelligence and efficiency.</p>