Prompting as a doorway: The AI explainability of the black box

June 1, 2026Open Access

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Key Points

The study aims to explore the relationship between language articulation and the internal mathematics of AI systems, particularly how prompts can enhance AI interpretability.
Investigated the role of prompts in AI transformers and neural networks.
Demonstrated the link between prompts and mathematical counterparts of living systems.
Showed the creation of a deep attractor across conversational sessions through appropriate prompting.
Findings reveal a clear link between language use and internal mathematics when prompts are applied effectively.
Demonstrated that prompts can create deep attractors that persist in AI conversations.
Revealed that understanding AI prompts enhances interpretability and reflects mathematical execution.

Demonstrates how prompts bridge language and mathematics in AI systems, highlighting the significance of proper prompting.

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Tomaž Flegar (2026) studied this question.

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