CNL-WP-2026-011 Working Paper

The Mass–Energy–Information–Consciousness Equivalence: A Theoretical Framework

Published: January 29, 2026 Version: 2 This version: April 5, 2026

Abstract

This working paper proposes a theoretical framework unifying mass, energy, information, and consciousness through a chain of experimentally grounded conversion factors, extended by a hypothesized consciousness–information relationship. Beginning with Einstein’s mass–energy equivalence (E = mc²) and Landauer’s principle establishing the thermodynamic cost of information processing, we trace a conversion network through the Bekenstein–Hawking bound connecting information to space. We then hypothesize a consciousness–information conversion factor κ, proposing that consciousness (Ψ) emerges as the product of information integration (Φ), uncertainty resolution rate (dI/dt), and temporal binding duration (τ). The framework suggests that consciousness represents a radical compression of information—approximately 10⁵:1 from sensory input to phenomenal experience—rather than simple information accumulation. We explore implications for distributed observation systems and propose that sufficiently dense measurement networks may increase the total “observation density” of a region, connecting this theoretical work to practical applications in environmental sensing and the Macroscope paradigm. In v2, we incorporate the first experimental observation of Bell correlations in momentum-entangled massive particles (Athreya et al. 2026), which strengthens the physical foundations of the conversion network by extending quantum nonlocality to external motional states.

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AI Collaboration Disclosure

Claude (Anthropic ) — Analysis

This working paper was developed through collaborative dialogue with Claude (Anthropic, Claude Opus 4.5). The AI contributed to literature synthesis, mathematical formulation, dimensional analysis, and manuscript drafting. Interactive visualizations were co-developed to explore the theoretical framework. The author takes full responsibility for the content, accuracy, and conclusions.

Human review: full

Version History

Version Date Notes Link
v2 April 5, 2026 Latest
v1 January 29, 2026 Initial publication View

Cite This Document

(2026). "The Mass–Energy–Information–Consciousness Equivalence: A Theoretical Framework." Canemah Nature Laboratory Working Paper CNL-WP-2026-011. https://canemah.org/archive/CNL-WP-2026-011

BibTeX

@unpublished{cnl2026massenergyinformationconsciousness, author = {}, title = {The Mass–Energy–Information–Consciousness Equivalence: A Theoretical Framework}, institution = {Canemah Nature Laboratory}, year = {2026}, number = {CNL-WP-2026-011}, month = {january}, url = {https://canemah.org/archive/document.php?id=CNL-WP-2026-011}, abstract = {This working paper proposes a theoretical framework unifying mass, energy, information, and consciousness through a chain of experimentally grounded conversion factors, extended by a hypothesized consciousness–information relationship. Beginning with Einstein’s mass–energy equivalence (E = mc²) and Landauer’s principle establishing the thermodynamic cost of information processing, we trace a conversion network through the Bekenstein–Hawking bound connecting information to space. We then hypothesize a consciousness–information conversion factor κ, proposing that consciousness (Ψ) emerges as the product of information integration (Φ), uncertainty resolution rate (dI/dt), and temporal binding duration (τ). The framework suggests that consciousness represents a radical compression of information—approximately 10⁵:1 from sensory input to phenomenal experience—rather than simple information accumulation. We explore implications for distributed observation systems and propose that sufficiently dense measurement networks may increase the total “observation density” of a region, connecting this theoretical work to practical applications in environmental sensing and the Macroscope paradigm. In v2, we incorporate the first experimental observation of Bell correlations in momentum-entangled massive particles (Athreya et al. 2026), which strengthens the physical foundations of the conversion network by extending quantum nonlocality to external motional states.} }

Permanent URL: https://canemah.org/archive/document.php?id=CNL-WP-2026-011