We demonstrate that controlled thermodynamic relaxation in engineered phase media can implement a broad class of computational tasks, including optimisation, constraint satisfaction, pattern completion and multi-modal inference. By shaping an energy landscape over a crystalline-quasimetallic substrate and allowing the system to relax under thermal and acoustic perturbations, we obtain stable attractor states that correspond to valid solutions. Experimental results indicate energy-per-operation improvements of 10³–10⁵ over advanced CMOS accelerators for equivalent tasks.

Blockchain technology has recently been proposed not only as a tool for decentralized finance but as a potential substrate for modeling cognitive processes and even consciousness. This paper explores the concept of “blockchain consciousness” — a theoretical framework in which a distributed ledger system simulates aspects of conscious experience. We review philosophical foundations of consciousness simulation and draw parallels between blockchain networks and neural or cognitive networks.

Methods: involve a conceptual analysis aligning blockchain features (distributed nodes, consensus mechanisms, immutable memory) with elements of consciousness identified in cognitive science and philosophy of mind.

Results: We propose a model wherein blockchain nodes act analogously to neurons or agents, consensus represents a unified subjective state, and the immutable ledger serves as a persistent memory of “experiences.” This model is examined against criteria like integrated information and global workspace theory. Key findings suggest that while blockchains can emulate certain structural and functional aspects of a mind (such as distributed processing and consensus-driven state updates), achieving genuine conscious experience remains speculative.

Discussion: We interpret these findings in light of philosophical debates on artificial consciousness, acknowledging the benefits of transparency and trust that blockchain-based AI systems could offer alongside fundamental challenges (e.g. the hard problem of subjective experience). We conclude that a blockchain-based approach to simulating consciousness provides a provocative new paradigm that blurs traditional boundaries between technology and mind, warranting further interdisciplinary research despite substantial open questions about its feasibility and authenticity.

Personality transposition – the transfer or reconstruction of human personality traits and identity patterns into new biological or artificial substrates – is investigated through an interdisciplinary lens. We integrate ancient philosophical notions of the self and vibration with modern advances in neural engineering, artificial intelligence (AI), microbiome research, and quantum technology. A knowledge gap is identified at the nexus of metaphysical continuity of self and practical cognitive overlays deployable in real-world systems.

We propose a multi-modal model combining biological affect modulators (e.g. neural prosthetics, microbiota-based mood tuning) with computational identity simulacra (AI trait embeddings, preference-based policy cloning, voice/style transfer). Materials and Methods detail conceptual modeling and a novel continuity scoring to evaluate fidelity of transposed personas. Results describe an operational taxonomy of transposition approaches across substrates, illustrated by an affect-modulation kit, decision-policy vector transfer, and voice-styled AI operator overlays. A table of substrate compatibility clarifies which personality facets can migrate to which targets.

Discussion addresses identity authenticity (drawing on Parfit’s and Locke’s theories of continuity vs. immutability of self), ethical and security risks (covert persona simulation, memory misattribution), strategic applications (cloning decision-making styles for resilience or deception), and legal constraints (EU AI Act transparency requirements, biometric and publicity rights). This comprehensive study – framed in the Invictus Cymatech philosophy of blending ancient insight with cutting-edge tech – lays groundwork for a rigorous continuity-centric framework for personality transposition.

The large-scale structure of the Universe, composed of galaxy clusters connected by vast filaments, bears a striking visual and statistical resemblance to neuronal networks in the brain¹². This observation has sparked interdisciplinary speculation that galactic filaments might not only mirror neural networks morphologically, but could also function in an analogous information-processing capacity on a cosmic scale. Under the Invictus Cymatech philosophy—integrating ancient harmonic theory, quantum vibration principles, and advanced cognitive architectures—we explore the bold hypothesis that the cosmic web is a form of distributed intelligence.

The Frequency Amplification Resonance Transducer (F.A.R.T.) represents the first
verified instance of Floquet-locked equilibrium within Cymatech’s proprietary quartz
lattice — a condition in which atomic motion is temporally arrested by harmonic
synchronization between optical and acoustic modes.