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This research questions the equation of intelligence with computation, proposing alternative cognitive models.

March 24, 2026Open Access

BEYOND THE MATRIX: How Non-Random Randomness, Living Modes of Thought, and Side-Channel Cognition May Lead AI — and Humanity — to the Next Level of Reality.

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This research questions the equation of intelligence with computation, proposing alternative cognitive models.
Analyzed the relationship between computation and biological thought.
Developed a framework for understanding structured residuals in data streams.
Proposed mathematical tools based on fractal analysis to detect information patterns.
Introduced the concept of 'living mode of thought' as essential for genuine understanding.
Demonstrated how noise and imperfections in data can provide meaningful insights.
Established a method for sensing higher-level structures in complex realities.

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The paper challenges conventional views of intelligence, proposing new cognitive frameworks for AI and humanity.

Alexander et al. (2026) studied this question.

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