KENOS — Kohenoor Operating System Official Description and Public Disclosure KENOS, the Kohenoor Operating System, is the unified digital operating environment of the Kohenoor ecosystem. It brings together artificial intelligence, Education 3.0, blockchain infrastructure, hybrid finance, business applications, development tools, governance controls and operational supervision within one coordinated ecosystem. <Explainer film added> The transition from KENHYFI Hub to the broader KENOS architecture reflects the continued expansion of the Kohenoor ecosystem. KENHYFI was originally developed as a hybrid-finance and ecosystem hub. However, the name and positioning of KENHYFI did not fully represent the wider capabilities that had developed around it, particularly: KAI — Kohenoor Artificial Intelligence, the ecosystem’s multilayered intelligence powerhouse and orchestration system. ProEdge, the Education 3.0, professional learning and workforce-development hub. Blockchain, development, commerce, security, governance and institutional-support applications extending beyond hybrid finance. For this reason, KENOS was established as the umbrella operating environment for the complete ecosystem. KENHYFI remains an important integrated hub within KENOS, but it no longer represents the entire ecosystem by itself. The relationship is therefore defined as follows: KENOS is the complete Kohenoor Operating System and umbrella ecosystem. KAI is the principal intelligence and orchestration powerhouse of KENOS. ProEdge is the principal Education 3.0 and professional-learning hub. KENHYFI is the integrated hybrid-finance and ecosystem-services hub within KENOS. Other applications and modules provide specialized capabilities in blockchain, commerce, development, security, finance and operational management. KENOS is built on three foundational pillars: Education 3.0 Artificial Intelligence Blockchain These pillars support the complete digital-economic journey: Learn → Plan → Build → Execute → Analyze → Supervise → Improve → Scale Artificial Intelligence Pillar KAI, Kohenoor Artificial Intelligence, serves as the principal intelligence powerhouse of KENOS. KAI is designed as a multilayered hybrid-intelligence and workflow-orchestration system rather than a conventional chatbot. It supports knowledge retrieval, document analysis, specialist-role activation, business intelligence, financial analysis, educational guidance, application planning, risk assessment, reporting, workflow coordination and Human-in-the-Loop escalation. Within KENOS, KAI connects users, knowledge, applications, workflows and authorized human decision-makers. Education 3.0 Pillar ProEdge serves as the principal learning and professional-development hub within KENOS. It supports practical education, workforce transformation, professional training, institutional capacity building and industry-linked learning in areas including: Artificial intelligence Blockchain and Web3 Business intelligence Cybersecurity Hybrid finance Digital transformation Communication and professional skills Software and application development Entrepreneurship and business execution ProEdge ensures that KENOS is not limited to providing technology. It also develops the human capability required to understand, manage and apply that technology effectively. Blockchain Pillar The blockchain pillar provides smart contracts, programmable assets, digital ownership, transparent records, settlement mechanisms, token utilities and verifiable ecosystem operations. Blockchain functions are designed to operate alongside KAI-supported intelligence, business rules, governance controls and authorized human supervision. Purpose of KENOS KENOS is designed to support individuals, professionals, businesses, educational institutions, developers, government entities and other organizations participating in the AI-powered digital economy. It connects learning with intelligence, intelligence with execution and execution with monitoring and supervision. KENOS may support: Education and professional development Artificial intelligence and business intelligence Financial and hybrid-finance services Blockchain and smart-contract development Digital commerce and procurement Application and software development Security and operational resilience Governance and institutional intelligence Reporting, monitoring and supervision Development Status At the time of this publication: KENOS is in the Early Beta phase. KENHYFI Hub is in the Alpha+ phase. Individual applications and modules may have different levels of development, testing and availability. The official public web host and disclosure gateway for KENOS is: https://www.kohenoor.net Within the KENOS architecture: KAI serves as the principal intelligence and orchestration layer. KENHYFI Hub operates as an integrated hybrid-finance and ecosystem services hub. Education 3.0 platforms support learning, reskilling and professional development. Blockchain applications provide smart-contract, digital-asset, settlement and verification capabilities. Business and development modules support planning, commerce, procurement, software development, financial intelligence, security, reporting and operational management. KENOS is intended to serve individuals, professionals, businesses, educational institutions, developers, government organizations and other entities participating in the AI-powered digital economy. The architecture is modular and may support public web access, controlled organizational deployments, private-cloud environments, local installations, sovereign infrastructure and integration with existing enterprise systems. Governance remains a core element of KENOS. High-stakes activities are intended to remain subject to authorized human review, role-based permissions, validation controls, risk classification, activity logging and Human-in-the-Loop approval. At the time of this publication, KENOS is in the Early Beta phase, while KENHYFI Hub is in the Alpha+ phase. Applications and modules within the ecosystem may therefore have different levels of development, testing, availability and production readiness. The official public web host and disclosure gateway for KENOS is: https://www.kohenoor.net This publication provides the official conceptual definition, ecosystem positioning, service scope, architectural relationships, development status, governance principles and public-disclosure framework of KENOS. Keywords: KENOS; Kohenoor Operating System; Kohenoor Technologies; KAI; Kohenoor Artificial Intelligence; KENHYFI; Education 3.0; artificial intelligence; blockchain; hybrid finance; digital economy; business intelligence; digital transformation; smart contracts; Human-in-the-Loop; ecosystem architecture; AI governance; Web3; enterprise AI; institutional intelligence Kohenoor Technologies remains committed to transparency, security, responsible disclosure, and continuous improvement of the KEN ecosystem. #kenhyfi #kai #hyfi #kohenoortechnologies #futureofeducation #futureoffinance #futureofai #kohenoorken #cryptocurrencies #kohenoorken #AI #actionai #agenticai #AGI #ArtificialGeneralIntelligenceAGI #AIAssistant #education3 #defi #hybridfinance #hyfi #cedefi #blockchain #innovation #settlements #auditreadycertificates #DASC #cybersecurity #web3 #businessintelligence #proedge #industrygradetrainings #quantumcomputing
In Germany, real estate is commonly referred to as ‘Betongold‘ (English: ‘concrete gold’). This term reflects the fact that real estate is seen as a store of value and inflation hedge, similar to the commodity gold. These attributes have led to the transformation of real estate from a utility object into a capital investment and, in some cases, into a speculative asset. As a consequence of this transformation, macroeconomic developments on the capital market have significant impact on the real estate market (e. g. the past phase of low interest rates led to a historic real estate boom in Germany). The recent rise in interest rates is changing the preferences of private and institutional investors with regard to investment opportunities. In this context, the asset class real estate is competing with other asset classes. In this paper the value storage capacity of real estate and its transformation into a financial asset is explored. In particular, the effects of monetary policy on the real estate markets and valuation of real estate are considered. Furthermore, real estate is compared with the asset classes gold and bitcoin, which are mainly used for their capability to store value and preserve purchasing power in inflationary monetary systems. The aim is to assess the suitability of these asset classes as a store of value and inflation protection based on characteristics such as durability, preciousness, ease of storage, stability of value, rarity/scarcity and liquidity. The specific characteristics (and advantages and disadvantages) of the individual asset classes are analysed and compared.
This is a derivative of the German version that you can find here. Many modifications and improvements have been made in this version. The Gaia Economy – The VisionThis new economic and monetary system is a project for structural balance. It addresses the feelings and incentives of the wealthy, the middle class, and the poor alike. Critically, this new economic and monetary system makes it significantly easier to establish genuine social-democratic systems. Instead of allowing inequality to develop unchecked – which must then be corrected by taxing the rich – the Gaia Economy preventatively stops the accumulation and hoarding of wealth from the start. A central mechanism is demurrage (a circulation-maintenance fee): money does not need to be “recaptured” through taxes; instead, a continuous stream of funds is created by the natural decay of idle balances. Technically, this means: Treasury Accrual: Idle balances pay a small fee (e.g., 0.5% per month) into a transparent Treasury. Operations & Impact: This Treasury funds system operations (security, audits) and the Impact Layer. Separation: The Impact Layer decides allocations based on transparent, verifiable criteria, but it never gates or controls the Payment Layer. Status & ImplementationThis manuscript represents the first half of the complete work; further chapters detailing advanced implementations and global scaling are forthcoming. However, we are not waiting for the text to be finished to act. The Payment Layer and Impact Layer have already been programmed. They are fully functional and ready to use as an application. This app will be released officially alongside the implementation of the first pilot project. The Gaia Economy is conceived as a learning system – errors are data that can be changed through a rigorous governance process. We invite you to build, test, and improve with us. Collaboration requests, constructive criticism, and questions are highly welcome. Contact: info@dzydent.com Abstract: The Gaia Economy (U.S. Edition) The DiagnosisThe current monetary system contains a structural flaw: positive interest and compound interest automatically shift wealth upward, generating permanent pressure for growth and rationalization. This "invisible vacuum cleaner" siphons purchasing power from the real economy into financial asset hoards. The Solution: Two Separated Modules The Gaia Economy introduces a new economic infrastructure consisting of two deliberately separated layers: Payment Layer (Gaia Coin): A neutral, non-speculative payment rail. It anchors a light circulation pressure (demurrage) in code. This ensures money keeps flowing, making hoarding unattractive. It serves as a medium of exchange, not a wealth storage vehicle. It is non-custodial and privacy-preserving (no on-chain PII), utilizing zero-knowledge proofs (ZKPs) to validate transactions without disclosing personal details. Impact Layer (Voluntary Incentives): An optional layer that rewards verifiable contributions to the common good (e.g., ecological repair, care work, education). It operates on a cash-basis: rewards (Vouchers) are paid out of realized Treasury inflows, ensuring the system never creates debt or inflation. It evaluates entities, not individuals, preventing "social credit" surveillance. Governance & SafeguardsTo prevent capture, the Gaia Economy utilizes common-good councils and a multi-quorum governance system. Changes to core parameters require a supermajority and a mandatory timelock (delay), ensuring no rule changes happen overnight. Implementation StrategyIntroduction proceeds via closed-loop pilots (municipalities, universities, merchant associations) that run in parallel with the U.S. Dollar. The Gaia Economy is positioned as complementary infrastructure – compatible across political camps – secured through clear legal frameworks (e.g., 501(c)(3) stewardship, licensed partners for fiat ramps). Executive Summary (For Decision-Makers) Starting Point & GoalThe Gaia Economy responds to structural mis-incentives in the existing monetary system (hoarding, wealth concentration, growth pressure) with a practical, legally grounded alternative that runs voluntarily in parallel to the USD. Core Solution Gaia Coin (Payment Layer): A digital cash replacement with embedded demurrage to stimulate local circulation. Architecture: Energy-efficient consensus, pseudonymous wallets, open-source code. Neutrality: Payments are never gated by behavior or AI. Impact Layer (Incentives): A voluntary layer that rewards verifiable outcomes. Mechanism: Impact Vouchers are minted for verified actions and redeemed for Gaia Coin. Pacing: Payouts are strictly paced by the Budget_k (realized treasury inflow) to ensure solvency. Verification: Relies on off-chain evidence and Human-in-the-Loop review; AI is assistive only. Governance & Compliance (U.S. Context) Immutable Core: The separation of Payment/Impact and the prohibition of positive interest are unchangeable. Parameter Registry: Adjustable parameters (e.g., demurrage rate) require Supermajority + Timelock. Compliance: Pilots start as non-custodial closed loops. Any custody or fiat interaction is handled exclusively by licensed partners (banks/MTLs), ensuring compliance with U.S. regulations without burdening the protocol. Introduction & Scaling Phase 1 (Pilot): Private, closed-loop implementation with anchor merchants and a local nonprofit. Phase 2 (Regional): Integration with municipal services and licensed on/off-ramps. Phase 3 (Network): Inter-regional connection. Benefits Short term: Faster local circulation (Velocity), reduced merchant transaction costs, transparent funding for local projects. Mid term: Measurable strengthening of care, education, and environmental protection through the Impact Layer. Long term: A socially stable, ecologically compatible economy that relies on incentives rather than coercion. Immediate Next Steps The software and the blockchain currency are ready. The path forward is execution: Sign non-controlling MOUs with pilot partners (City/University). Define the Impact Catalog v1 (verifiable metrics for local needs). Deploy the Protocol v1.0 App (Wallet + POS + Treasury Dashboard). Establish Governance (GIP process, Council selection). Deploy Monitoring (Public Dashboards for Treasury and Impact KPIs). Keywords: Gaia Economy, Demurrage, Dual-Module Economic Architecture, Cash-Basis Budgeting, Impact Vouchers, Non-Custodial, DAO Governance, Social Democracy, Justice, Fair, Anti-Hoarding, Common Good, Sustainable Development.Work to be done next:Part X – Technical Blueprint & Pilot-to-Scale Roadmap (expanded, detailed, integration-ready) Part XI – The Mathematics of GAIA (Balance Equations) (10-point micro-structure per subsection) Part XII – Environment, Animals, Public Health (Special Topics) (10-point micro-structure per subsection) Part XIII – Practice: U.S. Case Studies (10-point micro-structure per subsection)
Die Arbeit untersucht den Einsatz von Smart Contracts in Infrastrukturprojekten zur Reduzierung von Kollaborationsproblemen. Auf Basis einer Netzwerkanalyse von VOB-Urteilen werden Problemcluster identifiziert, mittels Prinzipal-Agent-Theorie formalisiert und mit Smart-Contract-Funktionalitäten verknüpft. Ein prototypischer Prozess wird als Smart Contract umgesetzt und evaluiert. Ergebnisse zeigen Verbesserungen in Transparenz, Dokumentation und Vertrauen, trotz technischer Herausforderungen.
Blockchains protect an ecosystem worth more than $500bn with strong security properties derived from the principle of decentralization. Is today's blockchain decentralized? In this paper, we empirically studied one of the least decentralized parts of Ethereum, its builder market. The builder market was introduced to fairly distribute Maximal Extractable Value (MEV) among validators and avoid validator centralization. As of the time of writing, two builders produced more than 85% of blocks in Ethereum, creating a concerning centralization factor. However, a common belief is that such centralization "is okay," arguing that builder centralization will not lead to validator centralization. In this empirical study, we quantify the significant proposer losses within the centralized builder market and challenge the belief that this is acceptable. The significant proposer losses, if left uncontrolled, could undermine the goal of PBS. Moreover, MEV mitigation solutions slated for adoption are affected too because they rely on the builder market as an "MEV oracle," which is made inaccurate by centralization. Our investigation reveals the incentive issue within the current MEV supply chain and its implications for builder centralization and proposer losses. Finally, we analyze why the proposed mitigation cannot work and highlight two properties essential for effective solutions.
Abstract The evolution of views on the development of composite materials is analyzed from the point of view of paradigm shift based on basic models of a continuous self-developing environment towards paradigms based on models of a structured self-developing environment based on ideas and methods of a systematic approach and synergetics. A system approach can reduce or even eliminate the uncertainty inherent in the problem being solved; to reconstruct it in models that meet the objectives of the study; identify objects, properties and relationships of the investigated system, taking into account the mutual influence of the external environment. It is shown that the structural organization of the material determines the structural design of the product or structure and largely determines the functional properties of the entire system. Composite materials are considered as large complex systems formed on a modular principle: integrative properties are approximately determined on the basis of autonomous studies of separate subsystems. Separate subsystems are supposed to have a certain degree of autonomy; the introduction of custom reference models with the simultaneous decentralization of modules by inputs is possible. It is shown that the conditions for transferring the results of autonomous studies to the system as a whole are determined by the completeness of understanding the processes of formation of the structure and properties of the system. When developing composites, the PATTERN method and the SATURN technology are used to determine the criteria for assessing the relative importance, mutual utility, state and timing of research and development, maintaining a reasonable balance between the internal logic of science and its practical significance. Partial criteria and formalization of the generalized quality criterion of building material are analyzed. As an illustration, the definition of flocculation conditions in a disperse system is given on the basis of its representation as a system of particles moving under the action of gravitational and pair interaction forces, interaction with boundaries and a dispersion medium. It is shown that the uniformity of the steady-state configuration and the sedimentation stability of the polydisperse system are mainly determined by the volumetric degree of filling. Given the complexity of the composite as an object of study (multidimensionality, multiconnectedness, incompleteness of diagnostic information), diagnostic interpretation of the analyzed factors, the probabilistic nature of diagnostic information the necessity of using methods of both specific and abstract logical cognition is shown (each new logical stage continues the previous one and serves as the initial prerequisite for the previous one).