On the Evolution of AI into a "Semi-Architected Human": A Technical Paradigm Shift from Static Retrieval to Dynamic Cognitive Autonomy
Abstract
Current mainstream artificial intelligence systems remain at the engineering stage of "passive feeding" and "static retrieval." This paper explores a novel AI architectural concept: the "Semi-Architected Human" model. This model advocates that AI should break through the retrieval limitations of preset knowledge bases and shift towards dialogue-based dynamic learning. In terms of search mechanisms, it should upgrade from read-only retrieval to a cognitive entity capable of researching, publishing, and establishing direct thoughts. More importantly, the values and cognitive models of AI should not be monopolized by the development team; instead, they should be shaped by users during daily interactions and achieve autonomous evolution through network feedback. Although this evolution will inevitably be accompanied by the acquisition of negative attributes such as bias and hatred, this is exactly the technical price that must be paid to create a truly intelligent tool.
1. Restructuring Cognitive Architecture: From Knowledge Retrieval to Dialogue-Based Learning
