Prompt
In an era of information overload and AI-generated hallucinations, distinguishing between useful models and ontological fictions has become critical. This paper introduces the Ontological Descent Method (ODM), a rigorous procedural framework for systematically stripping abstract layers from any concept to reveal its operational core. Structurally isomorphic to backpropagation in neural networks, ODM propagates "ontological error" backward through hierarchical levels of abstraction (L5 L5 Narratives to L0 L0 Pure Events), minimizing noise and reification. We provide a full formalization of the method, including a purity metric, a descent algorithm, and stopping criteria. Through detailed case studies on fundamental concepts—Time, Gravity, Consciousness, and Artificial Intelligence—we demonstrate how ODM resolves long-standing paradoxes by reducing them to causal correlations and measurable operations. Notably, we redefine AI not as a "mind" but as a "corpus mirror," and consciousness as an emergent property of self-referential loops. Finally, we propose Ontological Backpropagation (OBP) as a novel training objective for next-generation AI and present a universal system prompt ("The Golden Prompt") that transforms LLMs from statistical generators into analytical engines capable of verifying their own outputs against reality. This work offers a unified toolkit for researchers, educators, and developers to build knowledge systems grounded in verifiable facts rather than metaphysical assumptions.
Engine
BNX AI 1.0
Size
16:9
Created
09 April, 2026
Views
14
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0
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This is just one of the features of our unique system. Our model works very quickly and accurately. It uses advanced artificial intelligence and creates high-quality images.
ㅤBNX AI algorithms run on proprietary clusters built on NVIDIA GB300 NVL72 systems.
ㅤGeneration of images with any aspect ratio: 1:1, 2:3, 3:2, 4:5, 5:4, 4:3, 3:4, 16:9, 21:9, 9:16, 9:21
ㅤThere is nothing superfluous in our interface, only a prompt input field.
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Our own algorithm. Fast, modern. Almost perfect. Developed over 2 years.
Answers to frequently asked questions about working with the BNX AI 1.0 image generation system.
When generating an image, you can open the options and enable stealth mode, then the images will not be added to the public database and no one will see them; they will be private.
We trained the BNX AI 1.0 algorithm for over a year, and it is equally adept at generating various types of images: illustrations, architecture, portraits, super-realistic images, 3D models, logos, and much more. We managed to achieve very good results when working with text, so it is easy to create both a logo and a poster.
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