Scientists have recently offered new insights into the increasing complexity of the universe, examining how natural laws drive this continuous development. For decades, scholars have puzzled over this phenomenon, striving to formulate a unified theory that explains why complexity grows from simple particles to intricate biological systems and even human societies. In March 2023, a team of physicists led by Simon Collins from the Massachusetts Institute of Technology (MIT) published a paper that proposes a fundamental mechanism for the growth of complexity: the "Information Accumulation and Processing Systems" (IAPS). IAPS suggests that complexity in the universe arises from the continuous accumulation and processing of information across different levels of systems. This theory extends beyond biology to encompass physics, chemistry, and the social sciences. The core of IAPS lies in the way information is transmitted and processed. On both macroscopic and microscopic scales, the ongoing exchange of information pushes systems from simpler states to more complex ones. For instance, single-celled organisms evolve into multicellular forms by interacting with their environment and processing the information they gather. Similarly, simple atoms form molecules and complex chemical structures through their interactions. This phenomenon is also evident in human societies, where the dissemination of knowledge and information has fueled rapid technological and social advancements. IAPS can also shed light on longstanding scientific mysteries, such as the origin of life, the emergence of consciousness, and the large-scale structure of the universe. The research team highlights that feedback mechanisms in information processing are crucial to these complex phenomena. For example, DNA molecules use encoding and decoding processes to enable life's self-replication and evolution. In the human brain, information processing and feedback generate consciousness and advanced cognitive abilities. Collins and his colleagues aim to use IAPS as a foundational framework across various disciplines, hoping to provide scientists with a more comprehensive understanding of universal complexity. To achieve this, they are developing mathematical models to simulate and predict the growth of complexity in different systems. The team also plans to collaborate with experts in biology, neuroscience, and sociology to further validate and expand the applications of IAPS. Since its publication in March 2023, this research has garnered significant attention in the physics community and beyond. Many interdisciplinary researchers agree that IAPS offers a fresh perspective on the mysteries of universal complexity. As the study progresses, there is a strong belief that IAPS will play a vital role in advancing future technological innovations and scientific understanding.