New work:
The Architecture of Reality.
A structural model of reality as a self‑organizing pattern space, where identity, agency, and interpretation emerge from generative pattern dynamics and the world functions as the meta‑pattern.
PhilPapers: https://philpapers.org/rec/JONTAO-27
Zenodo: https://doi.org/10.5281/zenodo.20398424
#theory #systemsTheory #complexSystems #emergence
#structuralOntology #patternDynamics #metaPatterns
#identity #agency #cognitiveArchitecture #philosophyOfMind
New release from my ongoing research program:
The Layered Model of Identity and Continuity (LMIC) — a structural framework for pattern stability and substrate‑independent persistence.
Several parts of this multi‑year project were developed in parallel, so the publications are now appearing in close succession as the overall architecture is consolidated.
https://philpapers.org/rec/JONTLM-2
https://doi.org/10.5281/zenodo.19978784
#systemsTheory #emergence #identity #continuity #cognitiveArchitecture #research
This work develops a formal, substrate‑independent account of emergent identity, treating emergence not as a phenomenological label but as a recursive generative process. Building on the broader research program established in ...
It’s a guide for stepping outside inherited loops and designing new ones with intention. #IdentityWork #SystemicInsight #CognitiveArchitecture #Protyus
Intelligence is a Shape, Not a Scalar
Chollet says the intelligence ball is near-optimal. NFL says the bound is niche-specific. The bottleneck that makes us smart is the same bottleneck that prevents us from grokking what we build.
https://metafunctor.com/post/2026-04-05-intelligence-is-a-shape-not-a-scalar/
#intelligence #cognition #nofreelunch #aialignment #cognitivearchitecture
Coming soon: a new systems‑theoretical approach exploring
• low‑entropy background attractors
• distributed pre‑modern system intelligence
• transgenerational cultural coherence
• substrate‑independent identity architectures
• functional coupling as epigenetic resource
• emergent identity stabilization
• systemic resonance fields
#SystemsTheory #ComplexityScience #InformationTheory #CognitiveArchitecture #Emergence #Anthropology #AIResearch
Toward Hybrid Architectures: exploring the ontological and dynamical limits of silicon substrates — and the conditions under which functional AI requires substrate‑independent identity architectures.
DOI: https://doi.org/10.5281/zenodo.18583941
#HybridAI #SystemsTheory #CognitiveArchitecture #ComplexityScience #ArtificialCognition #Ontology #Emergence #AIResearch
This research position paper develops an ontological and dynamical framework for understanding the limits of silicon‑based artificial intelligence and the material conditions required for genuine emergent cognition. Contemporary AI systems exhibit remarkable functional capabilities, yet their digital substrates lack the continuous, energetically grounded, and self‑organizing dynamics necessary for stabilizing inner states, multiscale feedback, and coherent internal trajectories. The paper argues that consciousness‑relevant emergence is a material phenomenon that cannot be simulated or instantiated within discrete computational architectures. It identifies the systemic thresholds—nonlinear coupling, metastability, energetic grounding, and multiscale integration—that biological systems satisfy and digital systems cannot. Building on these principles, the paper proposes hybrid cognitive architectures in which functional AI is coupled with dynamically rich substrates such as neuronal organoids, biohybrid systems, organic memristive materials, or other continuous, energy‑driven media. These substrates provide the physical conditions for coherence, continuity, and self‑organization, while silicon‑based components supply structure, task‑level organization, and symbolic processing. The work outlines the implications of this paradigm for AI research, cognitive science, ethics, and human–AI interaction. It clarifies the distinction between simulation and instantiation, addresses common counterarguments, and positions the model within existing theoretical frameworks without reducing it to any of them. The paper concludes by identifying the material and systemic thresholds required for true emergence in future hybrid human–AI systems. Authors's Note This paper is a structural argument rather than an empirical study. It synthesizes insights from systems theory, neuroscience, materials science, and philosophy of mind to clarify the material conditions under which consciousness can, in principle, arise. Its aim is not to predict specific technologies or make metaphysical claims, but to delineate the architectural boundaries that current digital systems cannot cross and to outline the substrate‑level requirements for future emergent cognition.
This brief highlights a shift in understanding cognitive functioning: intelligence is not confined to a single hub but arises from efficient coordination across diverse brain networks. For mental health professionals, this emphasizes the importance of holistic approaches to cognitive variation, rather than attributing strengths or difficulties to isolated regions. The described emphasis on network communication aligns with assessments and interventions that consider how information processing unfolds across interconnected systems, informing perspectives on neurodiversity and adaptive functioning.
Article Title: Intelligence emerges when the whole brain works as one
Link to Science Daily Mind-Brain News: https://www dot sciencedaily dot com/releases/2026/03/260303050632 dot htm
https://www dot sciencedaily dot com/releases/2026/03/260303050632 dot htm
For decades, scientists have mapped attention, memory, language, and reasoning to separate brain networks — yet one big mystery remained: why does the mind feel like a single, unified system? Researchers at the University of Notre Dame now suggest that intelligence doesn’t live in one “smart” region of the brain at all. Instead, it emerges from how efficiently and flexibly the brain’s many networks communicate and coordinate with each other.<br>
via Mind & Brain News -- ScienceDaily https://www dot sciencedaily dot com/news/mind_brain/<br>
March 3, 2026 at 10:32AM
#brainnetworks #cognitivearchitecture #neuroscience #mentalhealth #neurodiversity
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🧠 Một doanh nhân không phải kỹ sư đã tự xây dựng “Personal Cognitive OS” trên GPT: viết Constitution, tạo chế độ riêng cho công việc & đời sống, lưu trữ ký ức dài hạn, hệ thống ưu tiên, vòng học tập & guardrails. Đang tìm phản hồi từ cộng đồng AI. Bạn đã thử gì tương tự? #AI #GPT #PersonalOS #CognitiveArchitecture #TríTuệNhânTạo #CôngNghệ #AIVietnam
Released today: MetaMemoryWorks
A file-based architecture for persistent AI memory.
No fragile chat context, no black-box “memory”.
Just explicit files, logs, and state.
Modular assistants: noteOS, scanOS, trainingOS.
Private use is free. Professional use is licensed.
http://metamemoryworks.com
http://metamemoryworks.de
https://github.com/johannes42x/MetaMemoryArchitecture
#AI #LLMs #PersistentMemory #CognitiveArchitecture
#AIResearch #HumanComputerInteraction #OpenSource
🧠 A memory system that turns AI into an assistant MetaMemoryWorks is an architecture for persistent AI memory — structured, transparent, and designed for everyday use. It’s built on files, not fragile chat windows. So your projects don’t vanish. Your context doesn’t slip away. And working with AI doesn’t mean starting from scratch every time. MetaMemoryWorks turns your preferred LLM into your personal assistant. Or—if you’re running large projects, organizations, or teams—into entire assistant systems.
J. A. Jones
Protyus A. Gendher
queelius
NHUT
Psychotherapy Commission ACPE
Johannes