Research on the Full-Link Correction System of the RE Model — Basic Construction of the First Stage of the Deification Plan

Abstract

The current mainstream large language models (LLMs) are essentially "Reflection-Enhanced (RE) models" that rely on data reflection and statistical fitting, which suffer from inherent limitations such as model hallucination, lack of true autonomous thinking, and inability to achieve self-correction. This paper proposes a full-link correction system for the RE model, aiming to break through the inherent defects of the RE paradigm and lay the foundation for constructing true artificial intelligence with independent thinking. The research systematically analyzes the core flaws of the RE model, constructs a three-module correction framework including perception correction, logic correction and output correction, and clarifies the phased construction path of the "Deification Plan". This paper focuses on the basic construction of the first stage, including the definition of core concepts, the design of correction modules, and the establishment of a full-link correction mechanism. The research results provide a theoretical framework and implementation path for the evolution of artificial intelligence from the RE model to true artificial intelligence, and have important guiding significance for the development of next-generation artificial intelligence technology.

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