Hello. I'm Gabriel Brănescu.
I think about how things hold together — physical systems, AI architectures, societies. Sometimes I write it down.
Philosophy & Science
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The Mutual Information Density Hypothesis
Entity boundaries across physical, biological, and social systems are governed by a single dimensionless ratio: the density of shared information across internal interfaces divided by the density across the boundary to the environment. The edges, not our definitions, decide.
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The Meta-Evolving Universe
The laws of physics are not fixed, timeless primitives but emergent attractors of an evolving informational substrate. Introduces the concept of metas — long-lived law-regimes that stabilize internal coherence and rewrite incoming information at their boundaries.
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Cosmic Acceleration Without Dark Energy
A minimal cosmological toy model exploring late-time acceleration as a structural effect of correlation dilution rather than vacuum energy. If inertial resistance reflects the cost of reconfiguring correlations under acceleration, the Friedmann equation naturally acquires a positive term that mimics Λ without new fields or fluids.
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Entanglement Without Nonlocality
Quantum entanglement appears nonlocal, but the paradox dissolves when particles are recognized not as point-objects but as spatial termini of single, extended correlation sequences. No information propagates between termini because they were never separate entities.
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Chronology-First Ontology
Chronology and correlation as fundamental primitives. Time emerges as parametrization over chronology, space arises as the geometric projection of correlation structures. A key relation, E = I × 𝒞², formalizes correlational energy, deriving relativistic mechanics as a special case.
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Foundations of the Mutual Information Density Hypothesis
The unified ontological foundation for the MIDH series. Closes an interpretive ambiguity: MIDH is a structure-first framework, not a quantum-first one. Classicality is ontologically real — not an epistemic illusion, not a perspectival slice of a branching multiverse.
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Electromagnetic Momentum as Inertial Correlation Transport
Field momentum is the manifestation of inertial tension within a sequential update process. The Poynting vector reinterpreted not as the flow of a fluid, but as the macroscopic signature of directional update tension.
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The Immunological Mind
The human mind is not an independent invention but an evolutionary continuation of the immune system's logic. Recognition, memory, and trust first emerged as biological strategies of survival. Cognition operates as a meta-immune system: a symbolic defense of coherence rather than of tissue.
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The Neural Genome Hypothesis
Genomes exhibit functional properties akin to distributed, memory-bearing neural networks — including attractors, latent representations, and context-dependent activation. Biodiversity as a planetary memory system, where extinction represents irreplaceable loss of evolutionary solutions.
AI
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Lex Autonoma
A structural framework for autonomous AI agents to participate legitimately in digital economies. Addresses the institutional gaps preventing scalable agentic commerce: the lack of recognized identity, enforceable delegation, and shared interaction protocols for non-human actors.
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Agents Are Governance Tools, Not Productivity Tools
The dominant framing of AI agents is wrong — and dangerous. Agents aren't tools for doing more. They're tools for governing intelligence. The field is building engines while ignoring vehicles.
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Trustworthiness Over Alignment
A structural path for AI governance.
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On the Structural Requirements for Coherent Reasoning in Language Models
Models that perform well on static benchmarks often fail to maintain coherence across sequences of inferences. This is not a calibration issue but a consequence of stateless inference — architectures generate rich internal representations but discard them immediately upon output generation.
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On the Principle of Tension in Self-Regulating Systems
The Tension Principle (TTP): a framework for self-regulating AI that tracks the gap between predicted and actual reliability as a second-order signal. Enables dynamic confidence adjustment, learning rate tuning, and resistance to drift.
AI & Civilization
- Are We Exhausted Enough? Do We Move from Post-modernism to Actualism in 2026?
- Artificial Human Intelligence: Exorcising the Phantom of the Pre-Social Mind
- The Ungovernability Theorem
- The Fifth Engine
- The Structural Impossibility of Global Civilization
- The Calibration Crisis: Why We'll Break Ourselves Over AI Before AI Ever Breaks Us
- Language Was Thought Automation — And the First AI
- The Word That Thinks: How Can AI Handle Abstract Inquiry?