On the Self Iteration of Systems: A Temporal Ontology from Biological Evolution to Decentralized Architecture **Introduction: Refactoring the Cognitive Paradigm of Input/Output (I/O)** In traditional Internet software engineering, the system's understanding of "Input/Output (I/O)" is usually limited to the process of human-computer interaction. This type of model based on external interaction masks the essence of self growth in complex systems. When we jump out of the traditional framework of Internet software and re-examine the underlying architecture of biological perception, cognitive evolution and even decentralized networks, we will find a completely different I/O paradigm - a process of self growth. **1、 The self iterative mechanism of biology and cognition** The natural growth mechanism provides excellent physical and biological metaphors for this novel I/O model. Taking the process of human height growth as an example: the true output of the system is newly generated cells, while the input is aged or dead cells. The evolution of life is essentially the process in which the subject takes its existing cells as inputs and generates new outputs. In this perspective, the food and other resources ingested by the outside world are only environmental factors that promote the system to do work, and are not related to the I/O process of the life core. The root of any growth in self-organizing systems or their own capabilities lies entirely in their own self iteration. This mechanism also governs the evolution of human cognition and thought. The progress of perception is not a rigid infusion of external information, but an internal cognitive iteration: the input of perception is the cognition that the subject already possesses, while the output is the generated new cognition. When sensory cells come into contact with a new external environment and perform tasks, their function is to promote the transformation of existing cognitive inputs into new cognitive inputs in the subject. This explains from the underlying logic of epistemology why people can only understand things within their current cognitive framework when reading or doing things. Because the input of human cognition is never purely external knowledge, but the cognitive state that the subject already possesses at present. **2、 Topological opposition between spatial structure and temporal structure** By mapping the above natural laws to cryptography and decentralized network architecture, we have discovered two distinct topological features of the system. Traditional Internet software is based on a "spatial structure" of I/O. Taking the interface of Ethereum EVM as an example, its operations and state updates are highly dependent on external system interactions and spatial state changes, so it only has spatial structure inputs/outputs. On the contrary, in the pursuit of ultimate decentralization architecture, there is no such spatial structure of I/O, only the I/O model before and after time exists. The UTXO (Unspent Transaction Output) model and the heaviest chain consensus mechanism of Bitcoin are the perfect mathematical expressions of this time dimension self iterative model. In the UTXO architecture based on the time chain, the system functions like biological cell metabolism, generating future "new cells" (new UTXOs as outputs) by consuming past "old cells" (old UTXOs as inputs). **Conclusion: Closed loop of self transformation and introspection of cognition** From the turnover of biological cells and the expansion of cognitive boundaries to the advancement of decentralized networks, the underlying principles follow the same set of mathematical and philosophical logic that does not rely on external interfaces. The I/O system constructed by Satoshi Nakamoto has evolved only through its own transformation. **All its scope is limited to the system itself, which is the maximum level of attention investment, which Satoshi Nakamoto referred to as "the best effort". At the same time, this logic of not attempting to cross its own boundaries and only iterating based on existing states is also the best respect for human self-awareness. ** This purely time vector based, non self referential self iteration mechanism not only overturns the traditional computer spatial I/O model, but also deeply reveals how complex systems achieve sustainable survival through pure internal focus and state change.