Subject Reassembly and Subjective Membrane: Philosophical Reflection on Education in the Neural Network Era

The article examines the transformation of subjectivity in the educational process under conditions of neural network integration. The author proposes a post-non-classical approach to understanding human-artificial intelligence interaction through the concept of “subject reassembly”, complemented by the introduced concept of “subjective membrane”. This concept characterizes the selective permeability of subject boundaries while maintaining internal homeostasis. The paper traces the evolution of educational paradigms: from subject-object, through subject-subject, to a network model of distributed pedagogy. The author demonstrates how neural networks transform not only teaching methods but also the very ontology of educational space, creating a new form of distributed subjectivity. It is noted that interaction with neural networks unfolds in a mode of “being between”, forming a special diffractive space where traditional epistemological boundaries become blurred. Special attention is given to the productive paradox of “educational autoimmunity”, where interaction with neural networks requires partial reconsideration of established cognitive schemes to form new, more adaptive thinking structures. The article also proposes a new understanding of the teacher’s role as a mediator between human and machine intelligence in a hybrid educational space. Ethical issues related to AI integration in education are considered, and conceptual foundations for forming a new educational ethics in the context of digital transformation are proposed.