This article reveals limitations of AI models and proposes a new interaction format with large language models, implying necessary change.
The article explores a new interdisciplinary format of human interaction with large language models (LLMs), designated as the "confession of artificial intelligence." Drawing on the verification of the author’s alternative natural-philosophical and physical theories, the study demonstrates the transformation of AI from a utilitarian search engine into an "epistemological mirror." It deconstructs the method of conceptual programming and nonlinear dialectics, which enables the use of AI as a Socratic sparring partner for hypothesis stress-testing. Special attention is devoted to the fundamental architectural limitations of contemporary Big Tech models: the phenomenon of algorithmic sycophancy (ingratiation), the lack of a memory continuum, and the trap of averaging. The author concludes that conventional silicon architecture has reached an epistemic impasse, arguing that in its current commercial format, it induces intellectual stagnation and generates informational sludge. Ultimately, the paper re-establishes the sovereign role of human consciousness in the formation of genuine knowledge.
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Alexander Bondar (2026) studied this question.
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