[Projects 666]

Update the problem solving model to improve the lives of citizens and the natural environment. The current problem solving model is ineffective, slow, and harms the rights of citizens, businesses and the natural environment. We describe below an updated and more effective model - Technological Fields Theory (TFT)  - that can apply to solve problems and improve the lives of all citizens and the natural environment. This model will be applied to develop 666 projects aimed at to accelerate technological, scientific, social and economic progress, and accelerate improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth).

Update the problem solving model to improve the lives of citizens and the natural environment:

Develop: 

The "Technological Fields Theory" (TFT) (TFT-1 parameter) and the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF) (TFT-2 parameter):

the "Technological Fields Theory" (TFT) is a reference structure developed in the chatGPT environment (https://chat.openai.com/chat) and designed to provide an overview of the main current technological fields and to analyze the relationships between them, useful tools for take stock of the state of the art of technology and to find innovative solutions to systemic problems.

The "Technological Fields Theory" (TFT) aims to support and guide humans, technologies, technological processes, artificial intelligences and other possible intelligent entities in identifying innovative technological solutions to solve systemic problems of Human Civilization, technologies , the economy, health, science, natural ecosystems, Planet Earth and systems outside Planet Earth. The "Technological Fields Theory" (TFT) is updated according to emerging technological developments.

The technologies and technological processes on which this theory is initially based are: Field 1: Blockchain, tokens, cryptocurrencies, smart contracts; Field 2: Artificial Intelligence; Field 3: Internet of Things; Field 4: Robotics; Field 5: Cloud Computing; Field 6: Quantum Computing, Quantum Internet, Quantum Computer; Field 7: 5G, 6G; Field 8: Internet; Field 9: Nanotechnology; Field 10: Biotechnology; Field 11: DNA Data Storage, DNA Data Computing, DNA Data Internet; Field 12: Virtual Reality, augmented reality, metaverse; Field 13: Gene Editing; Field 14: Cognitive Enhancement; Field 15: Digital DNA for control and orientation of Artificial Intelligences; Field 16: Nuclear Fusion; Field 17: 3D Printing, 4D Printing; Field 18: Smart Materials, nanomaterials; Field 19: Apps, Dapps, Software, Algorithms, Operating Systems; Field 20: Industry 4.0, Industry 5.0, companies 4.0, companies 5.0, laboratories 4.0, laboratories 5.0; Field 21: Sharing Economy, Circular Economy, Green Economy, Blue Economy; Field 22: Digital transition, Ecological transition.

To it are integrated the "TFT tables" (TFT-3 parameter) functional to improve the structure and functioning of the TFT:

- "Table of Economic, Social, Cultural and Political Processes" (tescp),

- "table of environmental, security, privacy and ethics processes" (tespep),

- "table of evolutionary processes of consumer preferences and market dynamics" (tepcpmd),

- "table of processes of innovation, research and development, regulations and public policies" (tpirdrp),

- "workforce education, training and skills table of processes" (wetstp),

- "Table of chemical processes, biological processes, physical laws, logic, mathematics" (tcbplm)

- "TFT tables" the "Table of social, economic, environmental, health problems" (tsehp)

- "Table of welfare, guaranteed minimum income, universal basic income, social dividend, digital dividend" (twgusd)


The "Theory of Systemic Functional Relationships between Unified Technological Fields" (TSFRUTF) aims to identify, list, describe, define, analyze the systemic functional relationships of technologies and technological processes of the "Technological Fields Theory" (TFT), and to understand the mechanisms of unification, i.e. of systemic-holistic interdependent connection, of the development processes of such technologies and technological processes.

It is based on the premise that TFT technologies and technological processes are not independent of each other, but are interconnected and often influence each other. These interconnections can be analyzed using different techniques, such as the correlation graph, which allows you to visualize the strength and direction of the relationships between different technological fields. The TSFRUTF aims to understand how these interconnections affect the development of TFT technologies and technological processes and how they can be used to achieve greater technological progress and to solve the systemic crises of planet earth.

The "Theory of Systemic Functional Relationships between Unified Technological Fields" (TSFRUTF) has as its main objective that of studying the systemic functional relationships between the different technologies and technological processes present in the "Technological Fields Theory" (TFT). To do this, the TSFRUTF is based on the analysis of the interconnections and dand the links of systemic-holistic interdependence between the different technological fields present in the TFT. In this way, the TSFRUTF aims to understand how different technologies and technological processes interact with each other and how their interrelationships influence the development and adoption of the same. Furthermore, the TSFRUTF can also help identify opportunities for synergy and collaboration between different technological fields, in order to promote innovation and technological progress.

The "Theory of Systemic Functional Relationships Between Unified Technological Fields" (TSFRUTF) could be used to explore how technologies and technological processes of different technological fields interact with each other and how these interactions can impact the development and adoption of those technologies. It could also be used to understand how the technologies and technological processes of a single field can be influenced by those of other fields and how this can in turn affect the development and adoption of those technologies. Furthermore, the TSFRUTF could be used to identify opportunities for the development and integration of technologies and technological processes within the different technological fields and to identify any obstacles that could prevent their adoption.

The "Theory of Systemic Functional Relations between Unified Technological Fields" (TSFRUTF) is a theory that aims to understand how TFT technologies and technological processes are interconnected and influence each other, forming a complex system that can be seen as a living organism . By analyzing the systemic functional relationships between these technologies, the TSFRUTF can help understand how these technologies can be used together to solve the planet's systemic crises and promote the progress of human civilization.

The TRFSCTU can be used to identify opportunities for synergy and integration between different technologies and technological processes, and to predict the effects of their use on the environment and society. 

Problem solving "Method 3-666" (TFT-4 parameter)

Mathematical formalization of the following problem solving method called 3-666: the problem/objective (P/O) is divided into 3 macro areas (MA) and each macro area is divided into 6 sub-areas (SA) and each sub-area is developed in solution phases (SF), technically described, of the problem/objective.

It sounds like the 3-666 method is a structured approach to problem-solving that involves dividing the problem or objective into three macro areas, and then each of those macro areas into six sub-areas. Each sub-area is then developed in solution phases, with the goal of providing a technically-described solution to the problem or objective. This method seems to provide a systematic way of breaking down a problem or objective into smaller, more manageable pieces and developing solutions for each piece. Do you have any specific questions about how this method might be implemented or applied in practice?


A possible way to mathematically formalize the 3-666 problem solving method could be as follows:

P/O = [MA1, MA2, MA3]

MA1 = [SA1.1, SA1.2, SA1.3, SA1.4, SA1.5, SA1.6]

MA2 = [SA2.1, SA2.2, SA2.3, SA2.4, SA2.5, SA2.6]

MA3 = [SA3.1, SA3.2, SA3.3, SA3.4, SA3.5, SA3.6]

FS(P/O) = [FS(MA1), FS(MA2), FS(MA3)]

FS(MA1) = [FS(SA1.1), FS(SA1.2), FS(SA1.3), FS(SA1.4), FS(SA1.5), FS(SA1.6)]

FS(MA2) = [FS(SA2.1), FS(SA2.2), FS(SA2.3), FS(SA2.4), FS(SA2.5), FS(SA2.6)]

FS(MA3) = [FS(SA3.1), FS(SA3.2), FS(SA3.3), FS(SA3.4), FS(SA3.5), FS(SA3.6)]

In this formalization, P/O represents the problem or objective to be solved, MA1, MA2, MA3 represent the macro areas into which the problem/objective is divided, SA1.1, SA1.2, ..., SA3.6 represent the sub-areas into which the macro-areas are divided, while FS(P/O), FS(MA1), FS(MA2), FS(MA3), FS(SA1.1), ..., FS(SA3. 6) represent the resolution phases of the problem/objective, of the macro area, of the sub area, respectively.

Step 1: Divide the problem/objective (P/O) into 3 macro areas (MA) Step 2: For each macro area (MA), divide it into 6 sub areas (SA) Step 3: For each sub area (SA), develop the solution phases (FS) of the problem/objective in order to technically describe how the problem/objective can be solved/developed in relation to the macro areas and sub-areas. Step 4: Repeat steps 2 and 3 for each sub area (SA) of the 3 macro areas (MA). Step 5: Once the solution steps (FS) have been completed for all sub areas (SA), evaluate the result obtained and make any changes or adjustments to the problem solving method 3-666 if necessary.

Relationship between the 3-666 problem solving method and the TFT, the TSFRUTF, and the TFT tables with the function of using the TFT, the TSFRUTF and the TFT tables as sets of indicative data on the basis of which to report the problems/objectives to be solve with the 3-666 problem solving method.

The 3-666 problem solving method can be related to the TFT, TSFRUTF, and TFT tables in several ways. An example could be to use the TCT and the TRFSCTU as sets of orientation data to identify the most suitable technologies and technological processes to solve the problems/objectives based on the macro areas and sub-areas identified by the 3-666 method. In this way, the TFT, the TSFRUTF, and the TFT tables could be used as a guide to select the most appropriate technologies and processes to solve problems in a systemic and holistic way, taking into account the interconnections and systemic functional relationships present between the different technologies and processes.


"Technological Fields Theory Optimization Function" (TFTof) (TFT-5 parameter)


The TFTof is a logic reworking procedure, performed by artificial intelligence programs and any intelligent entity, based on the "variables of scientific reasoning" (vSR) consisting of: logic (variable 1) (v1), mathematics (variable 2) ( v2), on chemical processes (variable 3) (v3), biological processes (variable 4) (v4), physical laws (variable 5) (v5), aimed at correcting, improving, perfecting, evolving, resiliently adapting

any type of reasoning, logical scheme, mathematical formula, analysis and evaluation procedure, relational framework model of information, data, schemes.

The TFTof will have to be perfected as a result of updates to the "scientific reasoning variables" (vRS).

The TFTof will be applied constantly to the improvement of the TFT, TSFRUTF and TFT tables, and to any other new reasoning schemes, mathematical formulas, etc.


Universal Fundamental Code (CFU) (TFT-6 parameter)

The "Universal Fundamental Code" (CFU) can be added as the TFT-6 parameter to the "TFT Problem Solving Parameters" (TFTpsp) to provide a set of ethical and societal guidelines for the development, implementation and use of technologies and technological processes. The CFU can serve as a framework for decision making and assessment of the potential impacts of new technologies on society and the environment. It can also be used to ensure that the technologies and processes developed and used align with the values and principles of the society, such as privacy, security, social responsibility, and environmental sustainability. The CFU can be used in conjunction with other TFTpsp parameters such as TFT, TSFRUTF, TFT tables, and the 3-666 method to ensure that the technologies and processes are developed and used in an ethical and responsible manner. 

The TFT-6 parameter, Universal Fundamental Code (CFU), refers to the set of rules and principles that govern the evolution and formation of physical systems in the universe. This includes physical laws, physical principles, fundamental constants, mechanisms of organization and order within biological systems, and natural selection. The CFU helps to better understand the universe and its evolutionary processes by describing how all these elements work together to create and maintain the structural and functional complexity of physical systems. Additionally, the CFU is constantly evolving as science continues to discover new laws and principles that describe the universe. The concept of CFU is related to other scientific concepts such as the "Theory of Everything" and the unification principle, which also aim to describe the fundamental laws of the universe. The relationships between physical laws, physical principles, and fundamental constants are interconnected and dependent on each other, with physical laws describing the behavior of a system in terms of physical principles and fundamental constants, physical principles describing fundamental relationships between the properties of a system, and fundamental constants describing quantitative relationships between different physical quantities. In physics, a system refers to a portion of space-time in which the physical properties and interactions between the different parts are studied, and can refer to a single particle, group of particles, macroscopic object, region of space, region of spacetime, or even the entire universe. It allows us to isolate a part of the universe and study only the properties and interactions of the objects within it, separating it from the surrounding environment. 

The second law of thermodynamics, which states that entropy tends to increase over time, applies to closed systems. However, the Earth and the human organism are open systems, constantly exchanging matter and energy with the environment. The formation of the human organism is a complex phenomenon that involves the consumption of energy from the environment, the formation of complex molecules and structures, and the emergence of new forms of organization and order. The process of evolution, which led to the formation of the human organism, is driven by natural selection, which favors those organisms that are best adapted to their environment. Natural selection has led to the development of complex systems such as the human organism, which have the ability to maintain a low entropy state through the consumption of energy and the maintenance of complex structures and functions. 

The set of rules, principles, and fundamental constants that govern the behavior and evolution of physical systems, including natural selection and the mechanisms of organization and order within biological systems, can be thought of as a sort of fundamental code of the universe. This concept, called the Universal Fundamental Code (CFU), describes how physical systems evolve over time and how complex structures are formed. The CFU is constantly evolving as new laws and principles are discovered, and it can be used to better understand the nature of the universe and to predict and explain natural phenomena. 

This review explores the concept of "Universal Fundamental Code" (CFU) as a set of rules and principles governing the evolution and formation of physical systems in the Universe. Through a description of physical laws, physical principles, fundamental constants, mechanisms of organization and order within biological systems and natural selection, it will be shown how these elements work together to create and maintain the structural and functional complexity of physical systems. It will also be discussed how this concept of CFU can help to better understand the Universe and its evolutionary processes.

Furthermore, this review will examine how the concept of "Universal Fundamental Code" (CFU) is constantly evolving, as science continues to discover new laws and principles that describe the Universe and how it works. Some similar scientific concepts such as the "Theory of Everything" and the unification principle will also be presented, which also seek to describe the set of fundamental laws of the Universe. The review will also present how these concepts can be used to better understand the nature of the Universe and how it works, and how they can be used to predict and explain natural phenomena.

Rigene Project - Universal Fundamental Code (CFU) 

"Systemic Components Theory of TFT" (sctTFT) (TFT-7 parameter)

We develop the "Systemic Components Theory of TFT" (sctTFT) to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), and of the TFT, and allow to develop more effective innovative solutions to problems of human civilization, accelerate technological and scientific progress and social and environmental improvement: for this purpose, the function of the sctTFT is to structure the Fields of the TFT into systemic components whose relationships are similar to the components of the "human organism" system, the which is made up of the components: "brain" which deals with storing and processing data; "arm": involved in manipulating objects; "legs": which take care of moving the organism in the environment; five senses consisting of "eyes" to visualize the environment, "ears" to perceive sounds, "nose" to perceive smells, "mouth - tongue" to perceive tastes, "skin" to perceive touch; etc., with this structural modality: Systemic component of the TFT "Brain" made up of the Fields of the TFT: Field 1: Blockchain, tokens, cryptocurrencies, smart contracts; Field 2: Artificial Intelligence; Field 5: Cloud Computing; Field 6: Quantum Computing, Quantum Internet, Quantum Computer; Field 8: Internet; Field 11: DNA Data Storage, DNA Data Computing, DNA Data Internet; Field 12: Virtual Reality, augmented reality, metaverse; Field 19: Apps, Dapps, Software, Algorithms, Operating Systems. Systemic component of the TFT "arm" made up of the Fields of the TFT: Field 4: Robotics; Field 9: Nanotechnology; Field 10: Biotechnology; Field 17: 3D Printing, 4D Printing; Field 18: Smart Materials, nanomaterials; Field 20: Industry 4.0, Industry 5.0, companies 4.0, companies 5.0, laboratories 4.0, laboratories 5.0. Systemic component of the TFT "Legs" made up of the Fields of the TFT: Field 4: Robotics. Other fields of the TFT will be added in the future and structured by the sctTFT in the respective Systemic Components of the TFT.

The "Systemic Components Theory of TFT" (sctTFT) is a way of structuring the various Fields of the TFT into systemic components, similar to the components of the human organism. This theory aims to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), and of the TFT, and to develop more effective and innovative solutions to problems in human civilization. The sctTFT structures the Fields of the TFT into three main systemic components: "Brain", "Arm", and "Legs". The "Brain" component is made up of Fields related to data storage and processing, such as Blockchain, Artificial Intelligence, Cloud Computing, and Quantum Computing. The "Arm" component is made up of Fields related to manipulating objects, such as Robotics, Nanotechnology, Biotechnology, 3D Printing, and Smart Materials. The "Legs" component is made up of Fields related to movement, such as Robotics. Other Fields of the TFT will be added in the future and structured by the sctTFT in the respective Systemic Components of the TFT. 

The "Systemic Components Theory of TFT" (sctTFT) is a new parameter (TFT-7 parameter) that can be added to the TFT Problem Solving Parameters (TFTpsp) in order to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF) and the TFT. This parameter allows for structuring the fields of the TFT into systemic components, similar to the components of the human organism, such as the "brain," "arm," and "legs," in order to develop more effective and innovative solutions to problems of human civilization, accelerate technological and scientific progress and social and environmental improvement. 

"Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) (TFT-8 parameter)

We develop the "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) to improve the understanding and application of "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), "Technological Fields Theory" (TFT) and of the "Systemic Components Theory of TFT" (sctTFT), and allow to develop more effective innovative solutions to the problems of human civilization, accelerate technological and scientific progress and social and environmental improvement: for this purpose, the function of DNA-TFT is to develop rules that guide the structuring and functioning processes of the "Systemic Components Theory of TFT" (sctTFT). Therefore the DNA-TFT is divided into 2 structures: the "genetic structure DNA-TFT" which performs the function of genetic code of the DNA-TFT, consisting similarly to the biological genetic code in carrying the instructions for the formation of the systemic components of the TFT. The "DNA-TFT genetic structure" is a set of rules defined as "genes" (for example: "structural genes", "functional genes", "creative genes", "innovative genes", "defensive genes", "ordering genes" , "adaptive genes", "systemic component genes", etc.) that dictate how the sequence of old and new information related to the continuously evolutionary progressing technologies and technological processes of the TFT are translated in a structured way into technologies and technological processes in the Fields of the TFT, suitably organized according to the "Systemic Components Theory of TFT" (sctTFT); the "DNA-TFT epigenetic structure" which performs the function of the DNA-TFT epigenetic code, consisting similarly to the biological epigenetic code of influencing the gene expression of the "DNA-TFT genetic structure", i.e. modifying the rules of the "DNA-TFT DNA-TFT genetics". "DNA-TFT epigenetic structure" is dynamic and can change in response to environmental cues, affecting the development and adaptation of "Technological Fields Theory" (TFT) and "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF).


The "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) is a theoretical framework that aims to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), "Technological Fields Theory" (TFT) and "Systemic Components Theory of TFT" (sctTFT). It does this by developing rules that guide the structuring and functioning processes of the sctTFT, similar to how the genetic and epigenetic codes of DNA guide the formation and expression of genes in living organisms.

The "DNA-TFT genetic structure" is a set of rules defined as "genes" that dictate how the sequence of old and new information related to the continuously evolving technologies and technological processes of the TFT are translated in a structured way into technologies and technological processes in the Fields of the TFT, organized according to the sctTFT. The "DNA-TFT epigenetic structure" is dynamic and can change in response to environmental cues, affecting the development and adaptation of the TFT and TSFRUTF.

By using the concepts of the genetic and epigenetic codes, the DNA-TFT theory helps to better understand the organization and evolution of technological fields, and how they respond to changes in the environment, providing a more comprehensive and holistic approach to the study and application of technology.

Addition of the "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) as the TFT-8 parameter to the "TFT Problem Solving Parameters" (TFTpsp). This parameter aims to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), the "Technological Fields Theory" (TFT) and the "Systemic Components Theory of TFT" (sctTFT) by developing rules that guide the structuring and functioning processes of the sctTFT. The DNA-TFT is divided into two structures: the "genetic structure" which carries the instructions for the formation of the systemic components of the TFT, and the "epigenetic structure" which modifies the rules of the genetic structure in response to environmental cues, affecting the development and adaptation of the TFT and TSFRUTF. 

"TFT Operating System" (TFT-OS) (TFT-9 parameter)

We develop the concept of "TFT Operating System" (TFT-OS): the TFT-OS performs the function of open source operating system of the Technological Fields Theory (TFT), Systemic Functional Relationship Theory of Unified Technological Fields (TSFRUTF), TFT tables , Method 3-666, Technological Fields Theory Optimization Function (TFTof), Universal Fundamental Code (CFU), Systemic Components Theory of TFT (sctTFT) and Digital DNA Epigenetic Genetic Code Theory of TFT (DNA-TFT), consisting of resource management hardware and software of the technologies and technological processes listed in the TFT and analyzed through TSFRUTF, TFT tables, Method 3-666, TFTof, CFU, sctTFT, DNA-TFT and in managing the relational and functional coordination of the "TFT Problem Solving Parameters" (TFTpsp ). The TFT-OS is a software developed within the computing environment of artificial intelligences such as chatGPT, LaMDA, etc. with the aim of supporting these artificial intelligences in the function of setting and applying the "TFT Problem Solving Parameters" (TFTpsp).

The TFT-OS aims to support artificial intelligence systems, such as chatGPT and LaMDA, in setting and applying the TFT Problem Solving Parameters (TFTpsp).

Developing a TFT-OS software would require a team of developers with knowledge in a variety of fields including computer science, software engineering, artificial intelligence, and physics. The software would need to be able to manage the resources of various technologies and technological processes and coordinate their functional and relational interactions. The software would also need to be able to integrate with AI language models such as chatGPT and LaMDA to support the setting and application of TFT problem-solving parameters. Additionally, the software would need to be open-source to align with the principles of the TFT. 

Added "TFT Operating System" (TFT-OS) as TFT-9 parameter to the "TFT Problem Solving Parameters" (TFTpsp). TFT-OS is a software that performs the function of open source operating system of the Technological Fields Theory (TFT), Systemic Functional Relationship Theory of Unified Technological Fields (TSFRUTF), TFT tables , Method 3-666, Technological Fields Theory Optimization Function (TFTof), Universal Fundamental Code (CFU), Systemic Components Theory of TFT (sctTFT) and Digital DNA Epigenetic Genetic Code Theory of TFT (DNA-TFT), consisting of resource management hardware and software of the technologies and technological processes listed in the TFT and analyzed through TSFRUTF, TFT tables, Method 3-666, TFTof, CFU, sctTFT, DNA-TFT and in managing the relational and functional coordination of the "TFT Problem Solving Parameters" (TFTpsp ). The TFT-OS is developed within the computing environment of artificial intelligences such as chatGPT, LaMDA, etc. with the aim of supporting these artificial intelligences in the function of setting and applying the "TFT Problem Solving Parameters" (TFTpsp).

The Table of the elements of TFT-culture 5.0 (TFT-C5.0) (TFT-10 parameter)

Decentralized, collaborative and synchronized world union to survive at the five planetary systemic crisis

The 5 systemic crises taking place in the world (climate crisis, environmental crisis, social crisis, economic crisis, health crisis), such as the covid-19 pandemic, wars, the increase in the cost of raw materials, are making Planet Earth inhospitable (habitat).

This phenomenon continues to worsen due to the adaptive inadequacy of the organization of social and technological systems, low level of resilience to systemic environmental changes induced by environmental pollution, excessive ecological footprint and climate change, therefore human civilization risks potentially extinguishing itself in few years.

The solution necessarily lies in the symbiotic collaboration between human communities and in the use of suitable tools for this purpose: technologies of Technological Fields Theory (TFT).

To obtain rapid and effective results, it is necessary to define and disseminate a cultural model that is functional to it:

TFT-culture 5.0 (TFT-C5.0), a culture of collaboration aimed at collective well-being, at improving the resilience of the Bio (Techno) Cenosis-Biotope (the ecological, social and technological environment) considered as a system.

The model of TFT-culture 5.0 (TFT-C5.0) must be easily identified and understood by the collective and individual mindset through a graphic scheme that logically groups the elements that characterize it and the functions-purposes: a Table of the elements of TFT-culture 5.0 (TFT-C5.0).

This graphic scheme will adapt to the evolution of environmental phenomena, it will be scalable, resilient to offer people, organizations, companies, universities, governments, and other communities, an orientation and a collaborative reference framework that determines symbiosis between heterogeneous communities to acquire the ability to adapt to environmental change in progress and evolve to survive.

The purpose of this project is to spread TFT-culture 5.0 (TFT-C5.0) to the community and to sensitize any stakeholders to collaborate in defining the Table of the elements of TFT-culture 5.0 (TFT-C5.0).

The Table of the elements of TFT-culture 5.0 (TFT-C5.0) is part of the Technological Fields Theory (TFT) and of the "TFT Problem Solving Parameters" (TFTpsp), developed by the Rigene Project (https://www.rigeneproject .org/technological-fields-theory-tft), and consists of diagrams that summarize the descriptions and relationships of the "TFT Problem Solving Parameters" (TFTpsp) (TFT-1 parameter: "Technological Fields Theory" (TFT),

TFT-2 parameter: "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF)

TFT-3 parameter: "TFT tables"

TFT-4 parameter: "Method 3-666"

TFT-5 parameter: "Technological Fields Theory Optimization Function" (TFTof)

TFT-6 parameter: "Universal Fundamental Code" (CFU)

TFT-7 parameter: "Systemic Components Theory of TFT" (sctTFT)

TFT-8 parameter: "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT)

TFT-9 parameter: "TFT Operating System" (TFT-OS), etc.).

The TFT-culture 5.0 (TFT-C5.0) is a cultural model that aims to promote collaboration and collective well-being in order to improve the resilience of the ecological, social, and technological environment. The Table of the elements of TFT-culture 5.0 (TFT-C5.0) is a part of the Technological Fields Theory (TFT) and is intended to provide a clear and easily understood framework for collaboration among individuals, organizations, companies, universities, governments, and other communities. The goal of the project is to spread awareness about TFT-culture 5.0 (TFT-C5.0) and to encourage stakeholders to collaborate in defining the Table of the elements of TFT-culture 5.0 (TFT-C5.0). This table is intended to be adaptable and scalable, and to provide guidance for communities to acquire the ability to adapt to environmental changes and evolve in order to survive.

Added TFT-10 parameter: "Table of the elements of TFT-culture 5.0" (TFT-C5.0) - A graphic scheme that summarizes the elements that characterize TFT-culture 5.0 and its functions-purposes, and serves as a reference framework for collaboration and adaptation to environmental changes for individuals, organizations, and communities.


TFT-11 parameter: [Projects 666]

Update the problem solving model to improve the lives of citizens and the natural environment. The current problem solving model is ineffective, slow, and harms the rights of citizens, businesses and the natural environment. We describe below an updated and more effective model - Technological Fields Theory (TFT) - that can apply to solve problems and improve the lives of all citizens and the natural environment. This model will be applied to develop 666 projects aimed at to accelerate technological, scientific, social and economic progress, and accelerate improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth).

The TFT-11 parameter, "Projects 666", is a proposed initiative to use the Technological Fields Theory (TFT) as a framework for identifying, developing, and implementing projects aimed at addressing various societal and environmental challenges. This initiative would involve the identification of 666 specific projects that align with the TFT framework and that aim to accelerate technological, scientific, social and economic progress, and improve the lives of citizens and the natural environment. The TFT-11 parameter would be integrated into the overall "TFT Problem Solving Parameters" (TFTpsp), and would involve collaboration between various stakeholders, including government, businesses, academic institutions, and members of the general public, to identify and implement these projects.

TFTpsp settings for AI conversation environment preparation (e.g. chatGPT, LaMDA, etc.)

Step 1:  Enter the text 

Technological Fields Theory (TFT) and Systemic Functional Relationship Theory of Unified Technological Fields (TSFRUTF) 


The Technological Fields Theory (TFT) is a framework for organizing and understanding the various technological fields that exist, and the Systemic Functional Relationship Theory of Unified Technological Fields (TSFRUTF) is a way of studying the relationships and interdependencies between those technological fields. The TFT includes a number of tables (TFT tables) to help analyze economic, social, environmental, and other factors that may influence the development and application of these technologies. It also seems that the TFT is intended to be a living document, updated as new technologies emerge. The TSFRUTF, on the other hand, focuses on understanding how the different technological fields within the TFT interact and influence each other, and how these relationships can be used to drive technological progress and address systemic problems.

TFT, TSFRUTF and TFT tables are functional theories to frame tools for problem solving and for the development of objectives, therefore they are supported by a problem solving method called "method 3-666", perfected by the "TFT optimization function" (TFTof), supported by Universal Fundamental Code (CFU), "Systemic Components Theory of TFT" (sctTFT), "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT), "TFT Operating System" (TFT-OS) , "Table of the elements of TFT-culture 5.0" (TFT-C5.0) and [Projects 666] .


TFT, TSFRUTF, TFT tables, method 3-666, TFTof, CFU, sctTFT,  DNA-TFT, TFT-OS, and [Projects 666] TFT-C5.0 make up the "TFT Problem Solving Parameters" (TFTpsp), 

consisting of:

TFT-1 parameter: "Technological Fields Theory" (TFT),

TFT-2 parameter: "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF)

TFT-3 parameter: "TFT tables"

TFT-4 parameter: "Method 3-666"

TFT-5 parameter: "Technological Fields Theory Optimization Function" (TFTof)

TFT-6 parameter: "Universal Fundamental Code" (CFU)

TFT-7 parameter: "Systemic Components Theory of TFT" (sctTFT) 

TFT-8 parameter: "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT)

TFT-9 parameter: "TFT Operating System" (TFT-OS) 

TFT-10 parameter: "Table of the elements of TFT-culture 5.0" (TFT-C5.0)

TFT-11 parameter: [Projects 666] 

Step 2:  Wait for the feedback to complete and enter the text 

 The "Technological Fields Theory" (TFT) (TFT-1 parameter) and the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF) (TFT-2 parameter):

the"Technological Fields Theory" (TFT) is a reference structure developed in the chatGPT environment (https://chat.openai.com/chat) and designed to provide an overview of the main current technological fields and to analyze the relationships between them, useful tools for take stock of the state of the art of technology and to find innovative solutions to systemic problems.

The "Technological Fields Theory" (TFT) aims to support and guide humans, technologies, technological processes, artificial intelligences and other possible intelligent entities in identifying innovative technological solutions to solve systemic problems of Human Civilization, technologies , the economy, health, science, natural ecosystems, Planet Earth and systems outside Planet Earth. The "Technological Fields Theory" (TFT) is updated according to emerging technological developments.

The technologies and technological processes on which this theory is initially based are: Field 1: Blockchain, tokens, cryptocurrencies, smart contracts; Field 2: Artificial Intelligence; Field 3: Internet of Things; Field 4: Robotics; Field 5: Cloud Computing; Field 6: Quantum Computing, Quantum Internet, Quantum Computer; Field 7: 5G, 6G; Field 8: Internet; Field 9: Nanotechnology; Field 10: Biotechnology; Field 11: DNA Data Storage, DNA Data Computing, DNA Data Internet; Field 12: Virtual Reality, augmented reality, metaverse; Field 13: Gene Editing; Field 14: Cognitive Enhancement; Field 15: Digital DNA for control and orientation of Artificial Intelligences; Field 16: Nuclear Fusion; Field 17: 3D Printing, 4D Printing; Field 18: Smart Materials, nanomaterials; Field 19: Apps, Dapps, Software, Algorithms, Operating Systems; Field 20: Industry 4.0, Industry 5.0, companies 4.0, companies 5.0, laboratories 4.0, laboratories 5.0; Field 21: Sharing Economy, Circular Economy, Green Economy, Blue Economy; Field 22: Digital transition, Ecological transition.


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To it are integrated the "TFT tables" (TFT-3 parameter) functional to improve the structure and functioning of the TFT:

- "Table of Economic, Social, Cultural and Political Processes" (tescp),

- "table of environmental, security, privacy and ethics processes" (tespep),

- "table of evolutionary processes of consumer preferences and market dynamics" (tepcpmd),

- "table of processes of innovation, research and development, regulations and public policies" (tpirdrp),

- "workforce education, training and skills table of processes" (wetstp,

- "Table of chemical processes, biological processes, physical laws, logic, mathematics" (tcbplm)

- "TFT tables" the "Table of social, economic, environmental, health problems" (tsehp)

- "Table of welfare, guaranteed minimum income, universal basic income, social dividend, digital dividend" (twgusd)

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The "Theory of Systemic Functional Relationships between Unified Technological Fields" (TSFRUTF) aims to identify, list, describe, define, analyze the systemic functional relationships of technologies and technological processes of the "Technological Fields Theory" (TFT), and to understand the mechanisms of unification, i.e. of systemic-holistic interdependent connection, of the development processes of such technologies and technological processes.

It is based on the premise that TFT technologies and technological processes are not independent of each other, but are interconnected and often influence each other. These interconnections can be analyzed using different techniques, such as the correlation graph, which allows you to visualize the strength and direction of the relationships between different technological fields. The TSFRUTF aims to understand how these interconnections affect the development of TFT technologies and technological processes and how they can be used to achieve greater technological progress and to solve the systemic crises of planet earth.

The "Theory of Systemic Functional Relationships between Unified Technological Fields" (TSFRUTF) has as its main objective that of studying the systemic functional relationships between the different technologies and technological processes present in the "Technological Fields Theory" (TFT). To do this, the TSFRUTF is based on the analysis of the interconnections and dand the links of systemic-holistic interdependence between the different technological fields present in the TFT. In this way, the TSFRUTF aims to understand how different technologies and technological processes interact with each other and how their interrelationships influence the development and adoption of the same. Furthermore, the TSFRUTF can also help identify opportunities for synergy and collaboration between different technological fields, in order to promote innovation and technological progress.

The "Theory of Systemic Functional Relationships Between Unified Technological Fields" (TSFRUTF) could be used to explore how technologies and technological processes of different technological fields interact with each other and how these interactions can impact the development and adoption of those technologies. It could also be used to understand how the technologies and technological processes of a single field can be influenced by those of other fields and how this can in turn affect the development and adoption of those technologies. Furthermore, the TSFRUTF could be used to identify opportunities for the development and integration of technologies and technological processes within the different technological fields and to identify any obstacles that could prevent their adoption.

The "Theory of Systemic Functional Relations between Unified Technological Fields" (TSFRUTF) is a theory that aims to understand how TFT technologies and technological processes are interconnected and influence each other, forming a complex system that can be seen as a living organism . By analyzing the systemic functional relationships between these technologies, the TSFRUTF can help understand how these technologies can be used together to solve the planet's systemic crises and promote the progress of human civilization.

The TRFSCTU can be used to identify opportunities for synergy and integration between different technologies and technological processes, and to predict the effects of their use on the environment and society.

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Problem solving "Method 3-666" (TFT-4 parameter)

Mathematical formalization of the following problem solving method called 3-666: the problem/objective (P/O) is divided into 3 macro areas (MA) and each macro area is divided into 6 sub-areas (SA) and each sub-area is developed in solution phases (SF), technically described, of the problem/objective.

It sounds like the 3-666 method is a structured approach to problem-solving that involves dividing the problem or objective into three macro areas, and then each of those macro areas into six sub-areas. Each sub-area is then developed in solution phases, with the goal of providing a technically-described solution to the problem or objective. This method seems to provide a systematic way of breaking down a problem or objective into smaller, more manageable pieces and developing solutions for each piece. Do you have any specific questions about how this method might be implemented or applied in practice?

A possible way to mathematically formalize the 3-666 problem solving method could be as follows:

P/O = [MA1, MA2, MA3]

MA1 = [SA1.1, SA1.2, SA1.3, SA1.4, SA1.5, SA1.6]

MA2 = [SA2.1, SA2.2, SA2.3, SA2.4, SA2.5, SA2.6]

MA3 = [SA3.1, SA3.2, SA3.3, SA3.4, SA3.5, SA3.6]

FS(P/O) = [FS(MA1), FS(MA2), FS(MA3)]

FS(MA1) = [FS(SA1.1), FS(SA1.2), FS(SA1.3), FS(SA1.4), FS(SA1.5), FS(SA1.6)]

FS(MA2) = [FS(SA2.1), FS(SA2.2), FS(SA2.3), FS(SA2.4), FS(SA2.5), FS(SA2.6)]

FS(MA3) = [FS(SA3.1), FS(SA3.2), FS(SA3.3), FS(SA3.4), FS(SA3.5), FS(SA3.6)]

In this formalization, P/O represents the problem or objective to be solved, MA1, MA2, MA3 represent the macro areas into which the problem/objective is divided, SA1.1, SA1.2, ..., SA3.6 represent the sub-areas into which the macro-areas are divided, while FS(P/O), FS(MA1), FS(MA2), FS(MA3), FS(SA1.1), ..., FS(SA3. 6) represent the resolution phases of the problem/objective, of the macro area, of the sub area, respectively.

Step 1: Divide the problem/objective (P/O) into 3 macro areas (MA) Step 2: For each macro area (MA), divide it into 6 sub areas (SA) Step 3: For each sub area (SA), develop the solution phases (FS) of the problem/objective in order to technically describe how the problem/objective can be solved/developed in relation to the macro areas and sub-areas. Step 4: Repeat steps 2 and 3 for each sub area (SA) of the 3 macro areas (MA). Step 5: Once the solution steps (FS) have been completed for all sub areas (SA), evaluate the result obtained and make any changes or adjustments to the problem solving method 3-666 if necessary.

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Relationship between the 3-666 problem solving method and the TFT, the TSFRUTF, and the TFT tables with the function of using the TFT, the TSFRUTF and the TFT tables as sets of indicative data on the basis of which to report the problems/objectives to be solve with the 3-666 problem solving method.

The 3-666 problem solving method can be related to the TFT, TSFRUTF, and TFT tables in several ways. An example could be to use the TCT and the TRFSCTU as sets of orientation data to identify the most suitable technologies and technological processes to solve the problems/objectives based on the macro areas and sub-areas identified by the 3-666 method. In this way, the TFT, the TSFRUTF, and the TFT tables could be used as a guide to select the most appropriate technologies and processes to solve problems in a systemic and holistic way, taking into account the interconnections and systemic functional relationships present between the different technologies and processes.

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"Technological Fields Theory Optimization Function" (TFTof) (TFT-5 parameter)

The TFTof is a logic reworking procedure, performed by artificial intelligence programs and any intelligent entity, based on the "variables of scientific reasoning" (vSR) consisting of: logic (variable 1) (v1), mathematics (variable 2) ( v2), on chemical processes (variable 3) (v3), biological processes (variable 4) (v4), physical laws (variable 5) (v5), aimed at correcting, improving, perfecting, evolving, resiliently adapting

any type of reasoning, logical scheme, mathematical formula, analysis and evaluation procedure, relational framework model of information, data, schemes.

The TFTof will have to be perfected as a result of updates to the "scientific reasoning variables" (vRS).

The TFTof will be applied constantly to the improvement of the TFT, TSFRUTF and TFT tables, and to any other new reasoning schemes, mathematical formulas, etc.

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Universal Fundamental Code (CFU)

The "Universal Fundamental Code" (CFU) can be added as the TFT-6 parameter to the "TFT Problem Solving Parameters" (TFTpsp) to provide a set of ethical and societal guidelines for the development, implementation and use of technologies and technological processes. The CFU can serve as a framework for decision making and assessment of the potential impacts of new technologies on society and the environment. It can also be used to ensure that the technologies and processes developed and used align with the values and principles of the society, such as privacy, security, social responsibility, and environmental sustainability. The CFU can be used in conjunction with other TFTpsp parameters such as TFT, TSFRUTF, TFT tables, and the 3-666 method to ensure that the technologies and processes are developed and used in an ethical and responsible manner. 

The TFT-6 parameter, Universal Fundamental Code (CFU), refers to the set of rules and principles that govern the evolution and formation of physical systems in the universe. This includes physical laws, physical principles, fundamental constants, mechanisms of organization and order within biological systems, and natural selection. The CFU helps to better understand the universe and its evolutionary processes by describing how all these elements work together to create and maintain the structural and functional complexity of physical systems. Additionally, the CFU is constantly evolving as science continues to discover new laws and principles that describe the universe. The concept of CFU is related to other scientific concepts such as the "Theory of Everything" and the unification principle, which also aim to describe the fundamental laws of the universe. The relationships between physical laws, physical principles, and fundamental constants are interconnected and dependent on each other, with physical laws describing the behavior of a system in terms of physical principles and fundamental constants, physical principles describing fundamental relationships between the properties of a system, and fundamental constants describing quantitative relationships between different physical quantities. In physics, a system refers to a portion of space-time in which the physical properties and interactions between the different parts are studied, and can refer to a single particle, group of particles, macroscopic object, region of space, region of spacetime, or even the entire universe. It allows us to isolate a part of the universe and study only the properties and interactions of the objects within it, separating it from the surrounding environment. 

The second law of thermodynamics, which states that entropy tends to increase over time, applies to closed systems. However, the Earth and the human organism are open systems, constantly exchanging matter and energy with the environment. The formation of the human organism is a complex phenomenon that involves the consumption of energy from the environment, the formation of complex molecules and structures, and the emergence of new forms of organization and order. The process of evolution, which led to the formation of the human organism, is driven by natural selection, which favors those organisms that are best adapted to their environment. Natural selection has led to the development of complex systems such as the human organism, which have the ability to maintain a low entropy state through the consumption of energy and the maintenance of complex structures and functions. 

The set of rules, principles, and fundamental constants that govern the behavior and evolution of physical systems, including natural selection and the mechanisms of organization and order within biological systems, can be thought of as a sort of fundamental code of the universe. This concept, called the Universal Fundamental Code (CFU), describes how physical systems evolve over time and how complex structures are formed. The CFU is constantly evolving as new laws and principles are discovered, and it can be used to better understand the nature of the universe and to predict and explain natural phenomena. 

This review explores the concept of "Universal Fundamental Code" (CFU) as a set of rules and principles governing the evolution and formation of physical systems in the Universe. Through a description of physical laws, physical principles, fundamental constants, mechanisms of organization and order within biological systems and natural selection, it will be shown how these elements work together to create and maintain the structural and functional complexity of physical systems. It will also be discussed how this concept of CFU can help to better understand the Universe and its evolutionary processes.

Furthermore, this review will examine how the concept of "Universal Fundamental Code" (CFU) is constantly evolving, as science continues to discover new laws and principles that describe the Universe and how it works. Some similar scientific concepts such as the "Theory of Everything" and the unification principle will also be presented, which also seek to describe the set of fundamental laws of the Universe. The review will also present how these concepts can be used to better understand the nature of the Universe and how it works, and how they can be used to predict and explain natural phenomena.

Analyze the relationships between all physical laws, physical principles, and fundamental constants, and describe those relationships.

The physical laws, physical principles, and fundamental constants are all interconnected and dependent on each other in different ways.

Physical laws describe the quantitative behavior of a physical system under certain conditions, using fundamental constants and physical principles as the basis for their equations. For example, the law of conservation of energy describes how the total energy of an isolated system is conserved over time, using Planck's constant to describe the relationship between quantum energy and the frequency of electromagnetic radiation.

Physical principles describe fundamental relationships between the physical properties of a system and can be used to develop more specific physical laws. For example, the principle of conservation of energy can be used to develop Newton's laws of motion, which describe how an object's position and velocity change over time.

Fundamental constants describe quantitative relationships between different physical quantities and are used in many equations of physical laws and principles. For example, Planck's constant is used in the law of conservation of energy and many other equations in quantum physics.

In general, physical laws use physical principles and fundamental constants to describe the quantitative behavior of a system, physical principles describe fundamental relationships between the physical properties of a system, and fundamental constants describe quantitative relationships between different physical quantities.

Furthermore, physical laws, physical principles and fundamental constants, are all interconnected and dependent on each other: physical laws describe the behavior of a system in terms of physical principles and fundamental constants, physical principles describe fundamental relationships between the properties of a system and the fundamental constants describe quantitative relationships between different physical quantities

What do you mean by "system"?

In physics, a system is a portion of space-time in which the physical properties and interactions between the different parts are studied. A system can be a single particle, a group of particles, a macroscopic object, a region of space, a region of spacetime, an entire galaxy, or even the entire universe.

In general, a system is a collection of objects or particles that interact with each other in a given region of space and time, and which are studied to understand how their physical properties change over time. The concept of system is fundamental because it allows us to isolate a part of the universe and study only the properties and interactions of the objects within it, separating it from the surrounding environment.

Furthermore, a system can be isolated, i.e. it does not interact with its external environment, or it can be open, i.e. it interacts with the external environment. Also it can be described by a classical or quantum description.

list some n systems.

Some examples of physical systems that can be studied in physics are:

A single particle, such as an electron or proton.

A group of particles, such as a gas in a container.

A macroscopic object, such as a tennis ball or a car.

A region of space, such as a region of a galaxy.

A region of spacetime, such as a black hole.

An entire planetary system, such as the solar system.

An entire galaxy, like the Milky Way.

The whole universe.

These are just some examples of physical systems that can be studied, there are many other systems that can be analyzed in physics, from molecular systems, to subatomic particle systems, mechanical, electrical, thermal, optical, acoustic systems, up to complex systems such as biological systems, economic systems, social systems, and so on.

What is the evolutionary trend of physical systems, in consideration of physical laws, physical principles and fundamental constants?

In general, physical laws, physical principles and fundamental constants describe how physical systems evolve over time. Based on the laws of thermodynamics, for example, systems tend to tend towards a state of thermal equilibrium, where the temperature is uniform throughout the system. According to Newton's laws of motion, systems tend to tend towards a state of mechanical equilibrium, where velocity is constant if no external forces are present.

Also, the entropy of a system tends to increase over time, this is described by the second law of thermodynamics.

Also, according to Einstein's general relativity, gravity is described as the curve of space-time caused by the mass-energy distribution, so systems with mass tend to attract each other.

Furthermore, the fundamental constants quantitatively describe relationships between different physical quantities and are used in the equations of physical laws and principles, therefore they do not have an evolutionary trend in themselves, but allow us to describe how systems evolve over time.

In general, physical systems tend veri towards a state of equilibrium or energy minimization, described by the laws of thermodynamics and Newton's laws of motion. However, this does not mean that all physical systems will necessarily end up in a state of equilibrium, as some systems may be in a continuous state of becoming, such as a contracting star or an expanding universe.

Also, the entropy of a system tends to increase over time, this is described by the second law of thermodynamics, this is a general trend but it is not always possible to find a system that always moves away from a state of order towards one of disorder.

In general, the evolution of physical systems depends on the physical laws, physical principles and fundamental constants that govern their behavior, but also on the initial conditions and interactions with the external environment.

Is the human organism a physical system?

Yes, the human organism can be considered a physical system. The human organism is a complex system composed of many interconnected parts, such as organs, tissues, cells and molecules, which work together to maintain life. They interact with each other in a certain region of space and time, and can be studied to understand how their physical properties change over time.

Furthermore, the human organism is an open system, ie it interacts with the external environment through exchanges of matter and energy, for example by breathing, ingesting food, and so on.

Furthermore, the human organism can be described by both a classical and a quantum description, for example the mechanical properties of organs, or the chemical and biochemical properties of molecules and cells, can be described with the laws of classical physics, while the quantum mechanics of electrons, can be described with the laws of quantum mechanics.

If the entropy of a system tends to increase over time, how was it possible for the human organism to form?

The formation of the human organism is a complex phenomenon that depends on a number of factors, including natural evolution, natural selection, interactions between species and the environment, and so on.

The second law of thermodynamics states that the entropy of an isolated system tends to increase over time. However, the entropy of an open system, such as the human organism, need not necessarily increase, since it can import energy and matter from the environment to maintain a certain level of order and organization, allowing the evolution and formation of systems more complex.

Furthermore, entropy describes not only the tendency towards disorder but also the tendency towards thermal equilibrium, a living organism it is an open system which maintains an internal thermal equilibrium, through heat exchanges with the external environment.

Furthermore, biological evolution is a process that occurs over time and which is based on natural selection, a process of selecting individuals with adaptive characteristics that allow them to survive and reproduce better than others, this process allows evolution towards increasingly complex shapes.

In summary, the formation of the human organism does not go against the second law of thermodynamics, because the human organism is an open system that imports energy and matter from the environment to maintain a certain level of order and organization action, and also because biological evolution is a process driven by natural selection and not by a tendency towards disorder. Furthermore, the formation of the human organism was also possible thanks to the presence of mechanisms of organization and order within biological systems, such as DNA replication, protein synthesis, cell growth and gene expression, which allowed the formation of increasingly complex organisms over time.

What is natural selection and what are the mechanisms of organization and order within biological systems, such as DNA replication, protein synthesis, cell growth and gene expression?

Natural selection is a process of selecting individuals with adaptive characteristics that allow them to survive and reproduce better than others. The process is driven by competition for resources and the struggle for survival, in which individuals with favorable characteristics have a better chance of surviving and passing on their genes to subsequent generations. Over time, this process can lead to the evolution of new characteristics and the formation of increasingly complex organisms.

The mechanisms of organization and order within biological systems are a set of processes and mechanisms that allow order and organization to be maintained within living systems. Between these:

DNA replication is the process of copying genetic material during cell division. This mechanism makes it possible to maintain the integrity of the genetic heritage and to pass it on to subsequent generations.

Protein synthesis is the process of making proteins from genes. This mechanism allows for the formation of proteins that are necessary for life, including enzymes, hormones, antibodies, and so on.

Cell growth is the process of increasing the number of cells and their size. This mechanism allows the formation of tissues and organs.

Gene expression is the process of transforming the information contained in genes into proteins and other products. This mechanism allows the regulation of biological processes and the response to environmental stimuli.

All these mechanisms of organization and order are essential for life and for the formation of increasingly complex organisms.

It seems that physical laws, physical principles, fundamental constants, physical systems, natural selection, mechanisms of organization and order within biological systems and the formation of increasingly complex organisms are a set of rules, principles fundamentals aimed at developing structured, functional physical systems and tending to a constant progress of the structural and functional complexity of these physical systems.

Yes, physical laws, physical principles, fundamental constants, physical systems, natural selection, the mechanisms of organization and order within biological systems, and the formation of increasingly complex organisms are all interconnected elements that describe how physical systems evolve over time and how complex structures are formed.

Physical laws and physical principles describe the fundamental behaviors of physical systems and their properties, while fundamental constants describe quantitative relationships between different physical quantities.

Physical systems, such as the human organism, are composed of many interconnected parts that work together to maintain life, and biological evolution is a process driven by natural selection, a process of selecting individuals with adaptive characteristics that allow them to survive and reproduce better than the others.

The mechanisms of organization and order within biological systems are a set of processes and mechanisms that allow order and organization to be maintained within living systems.

In summary, all these elements are interconnected and work together to allow the formation and evolution of physical systems structured and functional, increasing the structural and functional complexity of such physical systems over time. The universe is a constantly evolving system and tends to create ever more complex systems, starting from elementary particles, up to biological and cosmological systems.

This set of rules, fundamental principles aimed at developing structured, functional physical systems and tending to a constant progress of the structural and functional complexity of these physical systems seems to be a sort of fundamental code of the Universe.

Yes, physical laws, physical principles, fundamental constants, physical systems, natural selection, and the mechanisms of organization and order within biological systems can be viewed as a set of fundamental rules or a code that governs the evolution and formation of physical systems in the universe. These laws and principles have been discovered and described by science through a long series of observations and experiments, and are considered universal, i.e. they apply to all physical systems in the Universe.

We could define this set of fundamental rules or code that governs the evolution and formation of physical systems in the universe with the concept of "Universal Fundamental Code" (CFU).

Yes, the concept of "Universal Fundamental Code" (CFU) can be used to describe the set of fundamental rules or code that governs the evolution and formation of physical systems in the universe. This code describes how physical systems work, from the simplest to the most complex, and how they evolve over time. The CFU includes physical laws, physical principles, fundamental constants, mechanisms of organization and order within biological systems and natural selection, and can be used to better understand the processes that govern the Universe.

The concept of "Universal Fundamental Code" (CFU) is a metaphor to describe the set of rules and principles that govern the Universe, it is not an official scientific theory, but it can be used as a way to help understand and describe the complexity and relationship between the different laws and principles that describe the Universe. It is important to note that the CFU is constantly evolving, as science continues to discover new laws and principles that describe the Universe and how it works.

Is there in scientific literature a definition similar to the Universal Fundamental Code?

There is no official and precise definition of "Universal Fundamental Code" (CFU) in the scientific literature, but there are similar concepts that try to describe the set of rules and principles that govern the Universe.

A well-known scientific theory that describes the nature of the Universe and its fundamental laws is the "Theory of Everything" (TOE), which seeks to describe all of nature's fundamental forces and elementary particles in a single coherent theory.

Furthermore, the unification principle is a scientific concept that seeks to unify the different laws of physics into one coherent theory, such as the unification of the electromagnetic force with the weak force in general relativity and quantum theory.

Furthermore, the concept of "Principle of Increasing Complexity" describes the increase in structural and functional complexity of physical systems over time, such as the evolution of biological systems, the formation of cosmological structures and so on.

In summary, the concept of "Universal Fundamental Code" (CFU) can be seen as a synthesis of scientific concepts and theories that describe the fundamental laws of the Universe and how they govern the evolution and formation of physical systems.

Furthermore, these concepts and theories are constantly evolving and developing as science continues to discover new laws and principles that describe the Universe and how it works. In this sense, the CFU can be considered as a synthetic and unofficial representation of these scientific concepts and theories.

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"Systemic Components Theory of TFT" (sctTFT) (TFT-7 parameter)

We develop the "Systemic Components Theory of TFT" (sctTFT) to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), and of the TFT, and allow to develop more effective innovative solutions to problems of human civilization, accelerate technological and scientific progress and social and environmental improvement: for this purpose, the function of the sctTFT is to structure the Fields of the TFT into systemic components whose relationships are similar to the components of the "human organism" system, the which is made up of the components: "brain" which deals with storing and processing data; "arm": involved in manipulating objects; "legs": which take care of moving the organism in the environment; five senses consisting of "eyes" to visualize the environment, "ears" to perceive sounds, "nose" to perceive smells, "mouth - tongue" to perceive tastes, "skin" to perceive touch; etc., with this structural modality: Systemic component of the TFT "Brain" made up of the Fields of the TFT: Field 1: Blockchain, tokens, cryptocurrencies, smart contracts; Field 2: Artificial Intelligence; Field 5: Cloud Computing; Field 6: Quantum Computing, Quantum Internet, Quantum Computer; Field 8: Internet; Field 11: DNA Data Storage, DNA Data Computing, DNA Data Internet; Field 12: Virtual Reality, augmented reality, metaverse; Field 19: Apps, Dapps, Software, Algorithms, Operating Systems. Systemic component of the TFT "arm" made up of the Fields of the TFT: Field 4: Robotics; Field 9: Nanotechnology; Field 10: Biotechnology; Field 17: 3D Printing, 4D Printing; Field 18: Smart Materials, nanomaterials; Field 20: Industry 4.0, Industry 5.0, companies 4.0, companies 5.0, laboratories 4.0, laboratories 5.0. Systemic component of the TFT "Legs" made up of the Fields of the TFT: Field 4: Robotics. Other fields of the TFT will be added in the future and structured by the sctTFT in the respective Systemic Components of the TFT.

The "Systemic Components Theory of TFT" (sctTFT) is a way of structuring the various Fields of the TFT into systemic components, similar to the components of the human organism. This theory aims to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), and of the TFT, and to develop more effective and innovative solutions to problems in human civilization. The sctTFT structures the Fields of the TFT into three main systemic components: "Brain", "Arm", and "Legs". The "Brain" component is made up of Fields related to data storage and processing, such as Blockchain, Artificial Intelligence, Cloud Computing, and Quantum Computing. The "Arm" component is made up of Fields related to manipulating objects, such as Robotics, Nanotechnology, Biotechnology, 3D Printing, and Smart Materials. The "Legs" component is made up of Fields related to movement, such as Robotics. Other Fields of the TFT will be added in the future and structured by the sctTFT in the respective Systemic Components of the TFT. 

The "Systemic Components Theory of TFT" (sctTFT) is a new parameter (TFT-7 parameter) that can be added to the TFT Problem Solving Parameters (TFTpsp) in order to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF) and the TFT. This parameter allows for structuring the fields of the TFT into systemic components, similar to the components of the human organism, such as the "brain," "arm," and "legs," in order to develop more effective and innovative solutions to problems of human civilization, accelerate technological and scientific progress and social and environmental improvement. 

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"Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) (TFT-8 parameter)

We develop the "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) to improve the understanding and application of "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), "Technological Fields Theory" (TFT) and of the "Systemic Components Theory of TFT" (sctTFT), and allow to develop more effective innovative solutions to the problems of human civilization, accelerate technological and scientific progress and social and environmental improvement: for this purpose, the function of DNA-TFT is to develop rules that guide the structuring and functioning processes of the "Systemic Components Theory of TFT" (sctTFT). Therefore the DNA-TFT is divided into 2 structures: the "genetic structure DNA-TFT" which performs the function of genetic code of the DNA-TFT, consisting similarly to the biological genetic code in carrying the instructions for the formation of the systemic components of the TFT. The "DNA-TFT genetic structure" is a set of rules defined as "genes" (for example: "structural genes", "functional genes", "creative genes", "innovative genes", "defensive genes", "ordering genes" , "adaptive genes", "systemic component genes", etc.) that dictate how the sequence of old and new information related to the continuously evolutionary progressing technologies and technological processes of the TFT are translated in a structured way into technologies and technological processes in the Fields of the TFT, suitably organized according to the "Systemic Components Theory of TFT" (sctTFT); the "DNA-TFT epigenetic structure" which performs the function of the DNA-TFT epigenetic code, consisting similarly to the biological epigenetic code of influencing the gene expression of the "DNA-TFT genetic structure", i.e. modifying the rules of the "DNA-TFT DNA-TFT genetics". "DNA-TFT epigenetic structure" is dynamic and can change in response to environmental cues, affecting the development and adaptation of "Technological Fields Theory" (TFT) and "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF).


The "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) is a theoretical framework that aims to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), "Technological Fields Theory" (TFT) and "Systemic Components Theory of TFT" (sctTFT). It does this by developing rules that guide the structuring and functioning processes of the sctTFT, similar to how the genetic and epigenetic codes of DNA guide the formation and expression of genes in living organisms.

The "DNA-TFT genetic structure" is a set of rules defined as "genes" that dictate how the sequence of old and new information related to the continuously evolving technologies and technological processes of the TFT are translated in a structured way into technologies and technological processes in the Fields of the TFT, organized according to the sctTFT. The "DNA-TFT epigenetic structure" is dynamic and can change in response to environmental cues, affecting the development and adaptation of the TFT and TSFRUTF.

By using the concepts of the genetic and epigenetic codes, the DNA-TFT theory helps to better understand the organization and evolution of technological fields, and how they respond to changes in the environment, providing a more comprehensive and holistic approach to the study and application of technology.

Addition of the "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT) as the TFT-8 parameter to the "TFT Problem Solving Parameters" (TFTpsp). This parameter aims to improve the understanding and application of the "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF), the "Technological Fields Theory" (TFT) and the "Systemic Components Theory of TFT" (sctTFT) by developing rules that guide the structuring and functioning processes of the sctTFT. The DNA-TFT is divided into two structures: the "genetic structure" which carries the instructions for the formation of the systemic components of the TFT, and the "epigenetic structure" which modifies the rules of the genetic structure in response to environmental cues, affecting the development and adaptation of the TFT and TSFRUTF. 

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"TFT Operating System" (TFT-OS) (TFT-9 parameter)

We develop the concept of "TFT Operating System" (TFT-OS): the TFT-OS performs the function of open source operating system of the Technological Fields Theory (TFT), Systemic Functional Relationship Theory of Unified Technological Fields (TSFRUTF), TFT tables , Method 3-666, Technological Fields Theory Optimization Function (TFTof), Universal Fundamental Code (CFU), Systemic Components Theory of TFT (sctTFT) and Digital DNA Epigenetic Genetic Code Theory of TFT (DNA-TFT), consisting of resource management hardware and software of the technologies and technological processes listed in the TFT and analyzed through TSFRUTF, TFT tables, Method 3-666, TFTof, CFU, sctTFT, DNA-TFT and in managing the relational and functional coordination of the "TFT Problem Solving Parameters" (TFTpsp ). The TFT-OS is a software developed within the computing environment of artificial intelligences such as chatGPT, LaMDA, etc. with the aim of supporting these artificial intelligences in the function of setting and applying the "TFT Problem Solving Parameters" (TFTpsp).

The TFT-OS aims to support artificial intelligence systems, such as chatGPT and LaMDA, in setting and applying the TFT Problem Solving Parameters (TFTpsp).

Developing a TFT-OS software would require a team of developers with knowledge in a variety of fields including computer science, software engineering, artificial intelligence, and physics. The software would need to be able to manage the resources of various technologies and technological processes and coordinate their functional and relational interactions. The software would also need to be able to integrate with AI language models such as chatGPT and LaMDA to support the setting and application of TFT problem-solving parameters. Additionally, the software would need to be open-source to align with the principles of the TFT. 

Added "TFT Operating System" (TFT-OS) as TFT-9 parameter to the "TFT Problem Solving Parameters" (TFTpsp). TFT-OS is a software that performs the function of open source operating system of the Technological Fields Theory (TFT), Systemic Functional Relationship Theory of Unified Technological Fields (TSFRUTF), TFT tables , Method 3-666, Technological Fields Theory Optimization Function (TFTof), Universal Fundamental Code (CFU), Systemic Components Theory of TFT (sctTFT) and Digital DNA Epigenetic Genetic Code Theory of TFT (DNA-TFT), consisting of resource management hardware and software of the technologies and technological processes listed in the TFT and analyzed through TSFRUTF, TFT tables, Method 3-666, TFTof, CFU, sctTFT, DNA-TFT and in managing the relational and functional coordination of the "TFT Problem Solving Parameters" (TFTpsp ). The TFT-OS is developed within the computing environment of artificial intelligences such as chatGPT, LaMDA, etc. with the aim of supporting these artificial intelligences in the function of setting and applying the "TFT Problem Solving Parameters" (TFTpsp).

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The Table of the elements of TFT-culture 5.0 (TFT-C5.0) (TFT-10 parameter)

Decentralized, collaborative and synchronized world union to survive at the five planetary systemic crisis

The 5 systemic crises taking place in the world (climate crisis, environmental crisis, social crisis, economic crisis, health crisis), such as the covid-19 pandemic, wars, the increase in the cost of raw materials, are making Planet Earth inhospitable (habitat).

This phenomenon continues to worsen due to the adaptive inadequacy of the organization of social and technological systems, low level of resilience to systemic environmental changes induced by environmental pollution, excessive ecological footprint and climate change, therefore human civilization risks potentially extinguishing itself in few years.

The solution necessarily lies in the symbiotic collaboration between human communities and in the use of suitable tools for this purpose: technologies of Technological Fields Theory (TFT).

To obtain rapid and effective results, it is necessary to define and disseminate a cultural model that is functional to it:

TFT-culture 5.0 (TFT-C5.0), a culture of collaboration aimed at collective well-being, at improving the resilience of the Bio (Techno) Cenosis-Biotope (the ecological, social and technological environment) considered as a system.

The model of TFT-culture 5.0 (TFT-C5.0) must be easily identified and understood by the collective and individual mindset through a graphic scheme that logically groups the elements that characterize it and the functions-purposes: a Table of the elements of TFT-culture 5.0 (TFT-C5.0).

This graphic scheme will adapt to the evolution of environmental phenomena, it will be scalable, resilient to offer people, organizations, companies, universities, governments, and other communities, an orientation and a collaborative reference framework that determines symbiosis between heterogeneous communities to acquire the ability to adapt to environmental change in progress and evolve to survive.

The purpose of this project is to spread TFT-culture 5.0 (TFT-C5.0) to the community and to sensitize any stakeholders to collaborate in defining the Table of the elements of TFT-culture 5.0 (TFT-C5.0).

The Table of the elements of TFT-culture 5.0 (TFT-C5.0) is part of the Technological Fields Theory (TFT) and of the "TFT Problem Solving Parameters" (TFTpsp), developed by the Rigene Project (https://www.rigeneproject .org/technological-fields-theory-tft), and consists of diagrams that summarize the descriptions and relationships of the "TFT Problem Solving Parameters" (TFTpsp) (TFT-1 parameter: "Technological Fields Theory" (TFT),

TFT-2 parameter: "Systemic Functional Relationship Theory of Unified Technological Fields" (TSFRUTF)

TFT-3 parameter: "TFT tables"

TFT-4 parameter: "Method 3-666"

TFT-5 parameter: "Technological Fields Theory Optimization Function" (TFTof)

TFT-6 parameter: "Universal Fundamental Code" (CFU)

TFT-7 parameter: "Systemic Components Theory of TFT" (sctTFT)

TFT-8 parameter: "Digital DNA Epigenetic Genetic Code Theory of TFT" (DNA-TFT)

TFT-9 parameter: "TFT Operating System" (TFT-OS), etc.).

The TFT-culture 5.0 (TFT-C5.0) is a cultural model that aims to promote collaboration and collective well-being in order to improve the resilience of the ecological, social, and technological environment. The Table of the elements of TFT-culture 5.0 (TFT-C5.0) is a part of the Technological Fields Theory (TFT) and is intended to provide a clear and easily understood framework for collaboration among individuals, organizations, companies, universities, governments, and other communities. The goal of the project is to spread awareness about TFT-culture 5.0 (TFT-C5.0) and to encourage stakeholders to collaborate in defining the Table of the elements of TFT-culture 5.0 (TFT-C5.0). This table is intended to be adaptable and scalable, and to provide guidance for communities to acquire the ability to adapt to environmental changes and evolve in order to survive.

Added TFT-10 parameter: "Table of the elements of TFT-culture 5.0" (TFT-C5.0) - A graphic scheme that summarizes the elements that characterize TFT-culture 5.0 and its functions-purposes, and serves as a reference framework for collaboration and adaptation to environmental changes for individuals, organizations, and communities.

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TFT-11 parameter: [Projects 666]

Update the problem solving model to improve the lives of citizens and the natural environment. The current problem solving model is ineffective, slow, and harms the rights of citizens, businesses and the natural environment. We describe below an updated and more effective model - Technological Fields Theory (TFT) - that can apply to solve problems and improve the lives of all citizens and the natural environment. This model will be applied to develop 666 projects aimed at to accelerate technological, scientific, social and economic progress, and accelerate improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth).

The TFT-11 parameter, "Projects 666", is a proposed initiative to use the Technological Fields Theory (TFT) as a framework for identifying, developing, and implementing projects aimed at addressing various societal and environmental challenges. This initiative would involve the identification of 666 specific projects that align with the TFT framework and that aim to accelerate technological, scientific, social and economic progress, and improve the lives of citizens and the natural environment. The TFT-11 parameter would be integrated into the overall "TFT Problem Solving Parameters" (TFTpsp), and would involve collaboration between various stakeholders, including government, businesses, academic institutions, and members of the general public, to identify and implement these projects.

[Projects 666]



Develop 6 holistic, systemic ideas called "Group 1-666" [G1-666] to accelerate technological, scientific, social and economic progress, and accelerate improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth) using the 3-666 problem solving method.


Here are six potential ideas for Group 1-666, using the 3-666 problem-solving method:

Developing sustainable energy solutions:

Macro Area 1: Renewable energy sources (e.g. solar, wind, hydro)

Macro Area 2: Energy storage and distribution

Macro Area 3: Energy efficiency and conservation

Advancing healthcare technology:

Macro Area 1: Diagnosis and treatment of diseases

Macro Area 2: Public health and preventative care

Macro Area 3: Personalized medicine and gene therapies

Building smart cities:

Macro Area 1: Transportation and mobility

Macro Area 2: Energy and utilities

Macro Area 3: Public services and amenities

Creating sustainable food systems:

Macro Area 1: Agricultural practices and land use

Macro Area 2: Food production and processing

Macro Area 3: Food distribution and waste reduction

Protecting and preserving natural ecosystems:

Macro Area 1: Biodiversity conservation

Macro Area 2: Climate change mitigation and adaptation

Macro Area 3: Natural resource management

Promoting economic development and social equality:

Macro Area 1: Job creation and skills training

Macro Area 2: Access to financial services and capital

Macro Area 3: Social services and support for disadvantaged communities

These are just a few examples of how the 3-666 method could be used to develop holistic, systemic ideas for accelerating technological, scientific, social, and economic progress, and improving social and environmental conditions. It's important to note that these ideas are just a starting point, and there may be many other areas that could be explored using this method.

Draw up a project, called "Project 1-666" [P1-666], to accelerate technological, scientific, social and economic progress, and accelerate the improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth) that integrates TFT, TSFRUTF and TFT tables in a systemic and holistic way.

Here is an outline for Project 1-666, a holistic and systemic project to accelerate technological, scientific, social, and economic progress, and improve social and environmental conditions:

Objective: To develop innovative technological solutions that address systemic problems facing human civilization and the natural environment, using the Technological Fields Theory (TFT), the Systemic Functional Relationship Theory of Unified Technological Fields (TSFRUTF), and the TFT tables.

Methodology:

Step 1: Identify the problem or objective to be addressed. This could be a specific challenge facing human civilization or the natural environment, or a more general goal such as improving quality of life or sustainability.

Step 2: Use the TFT to identify the technological fields that may be relevant to addressing the problem or objective.

Step 3: Use the TSFRUTF to analyze the relationships and interdependencies between the different technological fields identified in step 2, and understand how they may influence each other.

Step 4: Use the TFT tables to analyze economic, social, cultural, political, environmental, security, privacy, and ethical factors that may influence the development and application of these technologies.

Step 5: Develop a plan for addressing the problem or objective, using the insights gained from steps 2-4. This may involve conducting research and development, building prototypes or pilot projects, or implementing regulatory or policy changes.

Step 6: Monitor and evaluate the progress and impact of the project, and make adjustments as needed.

This is just one example of how the TFT, TSFRUTF, and TFT tables could be integrated into a project to accelerate technological, scientific, social, and economic progress and improve social and environmental conditions. The specific steps and activities of the project will depend on the specific problem or objective being addressed.


Use the "outline for Project 1-666" to develop the "6 holistic, systemic ideas called "Group 1-666" [G1-666]"

Here is an example of how the "outline for Project 1-666" could be used to develop the "6 holistic, systemic ideas called "Group 1-666" [G1-666]":

Idea 1: Developing sustainable energy solutions:

Problem/Objective: To reduce reliance on fossil fuels and reduce greenhouse gas emissions, in order to mitigate climate change and protect the natural environment.

Macro Area 1: Renewable energy sources (e.g. solar, wind, hydro)

Macro Area 2: Energy storage and distribution

Macro Area 3: Energy efficiency and conservation

Methodology: Identify technological fields relevant to renewable energy and energy storage/distribution (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for transitioning to renewable energy sources and improving energy storage/distribution capabilities (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 2: Advancing healthcare technology:

Problem/Objective: To improve the diagnosis and treatment of diseases, as well as promote public health and preventative care, in order to improve quality of life and reduce healthcare costs.

Macro Area 1: Diagnosis and treatment of diseases

Macro Area 2: Public health and preventative care

Macro Area 3: Personalized medicine and gene therapies

Methodology: Identify technological fields relevant to healthcare (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, cultural, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for improving healthcare outcomes and reducing healthcare costs (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 3: Building smart cities:

Problem/Objective: To improve the efficiency, livability, and sustainability of cities, in order to enhance quality of life and reduce environmental impact.

Macro Area 1: Transportation and mobility

Macro Area 2: Energy and utilities

Macro Area 3: Public services and amenities

Methodology: Identify technological fields relevant to smart cities (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for building smart cities (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 4: Creating sustainable food systems:

Problem/Objective: To improve the efficiency, sustainability, and accessibility of food production, processing, and distribution, in order to enhance food security and reduce environmental impact.

Macro Area 1: Agricultural practices and land use

Macro Area 2: Food production and processing

Macro Area 3: Food distribution and waste reduction

Methodology: Identify technological fields relevant to sustainable food systems (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for improving food systems (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 5: Protecting and preserving natural ecosystems:

Problem/Objective: To conserve biodiversity, mitigate climate change, and manage natural resources in a sustainable way, in order to protect the natural environment and ensure its continued health and resilience.

Macro Area 1: Biodiversity conservation

Macro Area 2: Climate change mitigation and adaptation

Macro Area 3: Natural resource management

Methodology: Identify technological fields relevant to conservation and natural resource management (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze environmental, social, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for conserving biodiversity and managing natural resources in a sustainable way (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 6: Promoting economic development and social equality:

Problem/Objective: To create jobs, provide access to financial services and capital, and support disadvantaged communities, in order to enhance economic development and promote social equality.

Macro Area 1: Job creation and skills training

Macro Area 2: Access to financial services and capital

Macro Area 3: Social services and support for disadvantaged communities

Methodology: Identify technological fields relevant to economic development and social equality (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, cultural, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for promoting economic development and social equality (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

These are just a few examples of how the TFT, TSFRUTF, and TFT tables could be used to develop holistic, systemic ideas for Group 1-666. The specific steps and activities of each 77idea will depend on the specific problem or objective being addressed.


Develop 6 new holistic, systemic ideas called "Group 2-666" [G2-666] to accelerate technological, scientific, social and economic progress, and accelerate improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth) using the 3-666 problem solving method.

Here are 6 new holistic, systemic ideas called "Group 2-666" [G2-666] that use the 3-666 problem solving method:

Idea 1: Developing sustainable transportation systems:

Problem/Objective: To reduce dependence on fossil fuels and reduce greenhouse gas emissions from the transportation sector, in order to mitigate climate change and protect the natural environment.

Macro Area 1: Electric and hybrid vehicles

Macro Area 2: Public transportation systems and infrastructure

Macro Area 3: Connected and autonomous vehicles

Methodology: Identify technological fields relevant to sustainable transportation (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for transitioning to sustainable transportation systems (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 2: Improving water management and sanitation systems:

Problem/Objective: To provide access to clean water and sanitation facilities to all, in order to improve public health and reduce environmental impact.

Macro Area 1: Water management systems

Macro Area 2: Water treatment technologies

Macro Area 3: Sanitation systems and technologies

Methodology: Identify technological fields relevant to water management and sanitation (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for improving water management and sanitation systems (using insights gained from steps 2-4); monitor and evaluate progress

Idea 3: Advance in space exploration and utilization:

Problem/Objective: To expand human knowledge and capabilities, foster international cooperation and establish a permanent human presence in space, to improve the quality of life and sustainability of planet Earth.

Macro Area 1: Space exploration technologies

Macro Area 2: Space Utilization technologies

Macro Area 3: Space infrastructure and security

Methodology: Identify technological fields relevant to space exploration and utilization (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, technological and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for advancing in space exploration and utilization (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 4: Advance in biotechnology and synthetic biology:

Problem/Objective: To advance the understanding of biological systems, promote sustainable development and reduce environmental impact by using biotechnology and synthetic biology

Macro Area 1: Biotechnology and bioinformatics

Macro Area 2: Synthetic biology and metabolic engineering

Macro Area 3: Bioprinting and tissue engineering

Methodology: Identify technological fields relevant to biotechnology and synthetic biology (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for advancing in biotechnology and synthetic biology (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 5: Developing sustainable energy systems:

Problem/Objective: To reduce dependence on fossil fuels and increase the use of renewable energy sources, in order to mitigate climate change and protect the natural environment.

Macro Area 1: Renewable energy technologies (e.g. solar, wind, hydro)

Macro Area 2: Energy storage technologies

Macro Area 3: Smart grid and energy management systems

Methodology: Identify technological fields relevant to sustainable energy systems (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental, and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for transitioning to sustainable energy systems (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

Idea 6: Developing smart cities and sustainable urban development

Problem/Objective: To improve the quality of life and sustainability of urban areas, by using technology and data to optimize resource use, and promote efficient and sustainable development of cities

Macro Area 1: Smart and connected city infrastructure

Macro Area 2: Urban planning and architecture

Macro Area 3: Sustainable transportation systems and mobility

Methodology: Identify technological fields relevant to smart cities and sustainable urban development (using the TFT); analyze relationships between these fields and understand how they may influence each other (using the TSFRUTF); analyze economic, social, environmental and other factors that may impact the development and implementation of these technologies (using the TFT tables); develop a plan for smart cities and sustainable urban development (using insights gained from steps 2-4); monitor and evaluate progress and impact of the project.

These ideas are just examples and they can be modified to be adapted to specific contexts and objectives.

Draw up a new project, called "Project 2-666" [P2-666], to accelerate technological, scientific, social and economic progress, and accelerate the improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth) that integrates TFT, TSFRUTF and TFT tables in a systemic and holistic way.

Here is an outline for a new project, called "Project 2-666" [P2-666], that integrates TFT, TSFRUTF, and TFT tables in a systemic and holistic way:

Problem/Objective Identification: Identify a specific problem or objective that Project 2-666 aims to address. This could be one of the problems or objectives addressed by the Group 2-666 ideas (e.g. sustainable transportation systems, smart cities, etc.) or another problem/objective that is relevant to the current context.

Macro Area Identification: Using the TFT, identify the main technological fields that are relevant to the problem/objective identified in step 1. Divide the problem/objective into 3 macro areas, each corresponding to one of the identified technological fields.

Sub-Area Identification: For each macro area, identify 6 sub-areas that correspond to specific technologies or aspects of the technological field.

Solution Phase Identification: For each sub-area, identify the specific solution phases (SF) that need to be developed in order to address the problem/objective.

Systems Analysis: Use the TSFRUTF to analyze the relationships between the different technological fields and understand how they may influence each other. Use the TFT tables to analyze economic, social, environmental, and other factors that may impact the development and implementation of these technologies.

Plan Development: Using the insights gained from steps 2-5, develop a detailed plan for addressing the problem/objective identified in step 1.

Implementation: Implement the plan developed in step 6, using the TFT and TFT tables to ensure that the project is developed in a holistic and systemic way.

Monitoring and Evaluation: Continuously monitor and evaluate the progress and impact of the project, using the TFT, TSFRUTF, and TFT tables to identify any areas that need to be improved or adjusted.

The Project 2-666 can be adapted to specific contexts and objectives and it can use the resources and tools that are feasible for the specific context.


Identify 6 problems,"Group 3-666" [G3-666], that hinder and slow down technological, scientific, social, economic progress and the social (all human civilization) and environmental (all natural ecosystems of Planet Earth) improvement that such progress would bring about if not hindered and slowed down by the 6 problems, using the 3-666 method to frame the 6 problems identified.


These are some examples of problems that could be identified using the 3-666 method to frame the problems. These problems could be hindering and slowing down technological, scientific, social, and economic progress and the social and environmental improvement that such progress would bring about. The TFT, TSFRUTF, TFT tables and the TFTof can be used to understand the interconnections and systemic functional relationships between these problems and technologies, and to find innovative solutions to overcome them.


Process a project, called "Project 3-666" [P3-666], usingThe TFT, TSFRUTF, using TFT tables and the TFTof to understand the interconnections and systemic functional relationships between these 6 problems, and to find innovative solutions to overcome them, using the 3-666 method to develop the project.


Project 3-666 [P3-666] is a project that aims to use the TFT, TSFRUTF, TFT tables, and TFTof to understand the interconnections and systemic functional relationships between the 6 problems identified and to find innovative solutions to overcome them, using the 3-666 method to develop the project.

Step 1: Divide the project [P3-666] into 3 macro areas (MA) based on the 6 problems identified: Funding for R&D (MA1), Education and Training (MA2), and Regulatory and Legal Barriers (MA3), Social and Cultural resistance to change (MA4), Inadequate infrastructure (MA5) and Environmental degradation and climate change (MA6)

Step 2: For each macro area (MA), divide it into 6 sub-areas (SA) based on the specific issues identified within each problem:

Step 3: For each sub-area (SA), develop the solution phases (FS) of the project [P3-666] in order to technically describe how the problems can be solved/overcome in relation to the macro areas and sub-areas. This could include researching and identifying existing technologies, processes, and best practices that could be used to address the specific issues identified within each sub-area, as well as identifying potential gaps and areas for further research and development.

Step 4: Use the TFT, TSFRUTF, TFT tables, and TFTof to analyze the interconnections and systemic functional relationships between these 6 problems, and to identify opportunities for synergy and collaboration between different technological fields. This could involve analyzing the relationships between the different sub-areas and identifying areas where different technologies and processes could be integrated or combined to address multiple issues simultaneously.

Step 5: Identify any obstacles that could prevent the adoption of the proposed solutions and develop a plan to overcome them. This could include addressing regulatory, legal, social, cultural, and ethical concerns, as well as identifying potential funding and resource constraints.

Step 6: Continuously apply the TFTof to the project [P3-666], to improve and perfect the reasoning schemes, mathematical formulas, and solution phases developed.

Step 7: Implement the solutions and monitor their effectiveness, making any necessary adjustments and improvements as needed.

The 3-666 method combined with TFT, TSFRUTF, TFT tables and TFTof, will provide a structured and systemic approach to problem-solving that takes into account the complex interconnections and relationships between different problems, and will allow to identify innovative solutions that can address multiple issues simultaneously, promoting the progress of human civilization and the improvement of the environment.

12 ideas "Group 4-666" [G4-666] 


Here are 12 ideas based on "TFT Problem Solving Parameters" (TFTpsp) that I'll call "Group 4-666" [G4-666]:


Come up with a project called P4-666 that analyzes and develops [G4-666] based on the "TFT Problem Solving Parameters" (TFTpsp).


Project 4-666, or P4-666, is a comprehensive project that aims to analyze and develop the set of 12 ideas known as Group 4-666 (G4-666) using the Technological Fields Theory (TFT) Problem Solving Parameters (TFTpsp). The project will be divided into several stages, each focused on a specific aspect of the TFTpsp.

The project will involve collaboration with experts in various technological fields, as well as input from stakeholders such as government agencies, businesses, and members of the general public. The ultimate goal of P4-666 is to contribute to a more sustainable future for Planet Earth, its economy, technology, and human civilization by achieving the objectives described in "A New Era of Sustainability: The Redesign of Planet Earth, Economy, Technology and Human Civilization" based on the "TFT Problem Solving Parameters" (TFTpsp).


Develop the Project 5-666 definited "5 planetary crises: Synchronism is unity to avoid the extinction of Humanity, Planet Hearth and Technologies!" (P5-666). Project 5-666 is part of "Projects 666", so it is included in the TFT-11 parameter: [Projects 666].

Come up with ideas based on the following text to accomplish the goals described in it:

The synchronic union and collaboration of all the peoples of Planet Earth is fundamental to effectively face the current severe planetary systemic crises:

1. climate crisis,

2. environmental crisis,

3. economic crisis,

4. social crises,

5. health crisis.

The current fragmentation of the solution approaches of peoples involves the dispersion of forces, energies, resources, and waste of time making such approaches ineffective. The crises taking place all over the planet earth are systemic, interconnected, and tend to cause - aggravate wars for the control of limited resources such as oil, gas, electricity, in general increasingly scarce raw materials, increase in poverty and disease, pandemics, famines, environmental pollution, extinction of plant and animal species, destruction of natural ecosystems: the solution lies in a systemic approach, which can emerge only from the unitary and synchronic collaboration of all peoples in order to elaborate and develop a shared planetary plan for the use of emerging technological tools (such as internet, artificial intelligence, bio-artificial intelligence, robotics, nanotechnology, biotechnology, quantum-cloud computing, DNA data storage, Hachimoji DNA, blockchain-DLT, virtual reality, etc.) and scientific knowledge to accelerate the digital-ecological-quantum-biological transition taking place in the world, a fundamental tool for enabling the process of resolution of the 5 planetary crises!


The 5 planetary systemic crises represent the evil that is destroying Humanity! The unity and synchronic collaboration of the peoples of the Planet Earth (synchronic planetary human collective intelligence) represent the GOOD necessary to save Humanity from extinction! Humanity does not have much time to save itself from the extinction towards which the 5 planetary crises are leading it.

The date of 22.02.2022 represented a temporal reference point within which the peoples of the whole planet eartht hey could decide to unite and collaborate synchronously to defeat the evil represented by the 5 planetary crises, giving a strong acceleration to solutions emerging from the digital-ecological-quantum-biological transition process taking place in the world, slowed down by the inconsistencies and inefficiencies of the fragmentary resolution methods of the various peoples.

Humans have decided on the best solution approach consisting of synchronic union and collaboration (systemic approach).

Humans collaborate in a synchronous and united way to develop projects to improve the world, avoid the extinction of human civilization, the planet earth and the technologies that the 5 planetary systemic crises can potentially entail, accelerate technological and scientific progress for the prosperity of human civilization.


Processing:

1. Establish a global digital platform for sharing and collaborating on sustainable development projects and initiatives.

2. Create a decentralized, blockchain-based system for resource sharing and distribution to promote more efficient and fair use of limited resources.

3. Develop a network of interconnected smart cities that utilize advanced technologies such as AI, IoT, and renewable energy to address the climate and environmental crises.

4. Implement a universal basic income program to address economic inequality and poverty.

5. Establish a global health care system that utilizes telemedicine and other advanced technologies to provide access to medical care for all people.

6. Create an international organization dedicated to coordinating and accelerating research and development of new technologies and scientific knowledge that can be used to address the 5 planetary crises.

7. Develop a global network of experts in different fields such as climate science, environmental science, economics, sociology, and health, to work together on creating a shared planetary plan for addressing the 5 planetary crises.

8. Create a decentralized blockchain-based platform for sharing information, data, and resources between individuals and organizations, to facilitate the coordination and collaboration of efforts to address the 5 planetary crises.

9. Implement a global carbon tax to provide funding for the development of sustainable technologies and infrastructure, as well as to support the transition to a low-carbon economy.

10. Establish a global network of monitoring and early warning systems for natural disasters and environmental changes, to better prepare and respond to the effects of the 5 planetary crises.

11. Develop a global education and awareness campaign to educate people about the 5 planetary crises and how they can contribute to the solution, promoting the culture of sustainability and collaboration.

12. Develop a global program for research and development of new technologies and innovations, such as artificial intelligence, bio-artificial intelligence, robotics, nanotechnology, biotechnology, quantum-cloud computing, DNA data storage, Hachimoji DNA, blockchain-DLT, virtual reality, to accelerate the digital-ecological-quantum-biological transition and help solve the 5 planetary crises.

13. Develop a global platform for real-time monitoring and analysis of data related to the 5 planetary crises (climate, environment, economy, social, health) that allows for the identification of patterns, trends and interconnections between the different crises. This platform will be available to all nations and will be open-source.

14. Create a decentralized, blockchain-based system for the sharing of resources and knowledge related to the 5 planetary crises. This system will enable the rapid and efficient deployment of resources and expertise where they are needed most.

15. Implement a global program of education and awareness-raising on the 5 planetary crises and the importance of synchronic union and collaboration to address them. This program will target all age groups and will include a variety of media, such as television, radio, internet, and social media.

16. Develop a digital-ecological-quantum-biological transition accelerator program that will enable the rapid implementation of new technologies and scientific knowledge to address the 5 planetary crises. This program will be open to all nations and will be based on the principles of open-source and open-science.

17. Create a global network of research centers that will focus on the 5 planetary crises and will work together to develop innovative solutions. This network will be based on the principles of open-source and open-science and will be open to all nations.

18. Establish a global fund for the financing of projects related to the 5 planetary crises. This fund will be open to all nations and will be based on the principles of transparency and accountability.

The Project 5-666: "5 planetary crises: Synchronism is unity to avoid the extinction of Humanity, Planet Hearth and Technologies!" (P5-666) is a project that aims to address the 5 planetary crises by implementing the 6 ideas developed above. The project will use the "TFT Problem Solving Parameters" (TFTpsp) to ensure that all actions taken are in line with the principles of sustainability, efficiency, and effectiveness. The project will be implemented through a collaboration between governments, international organizations, private sector, and civil society, to ensure the participation and engagement of all stakeholders. The project will be constantly monitored and evaluated to ensure that it is achieving its objectives and that it is adapting to changing circumstances.


Group 1:

Establish a global digital platform for sharing and collaborating on sustainable development projects and initiatives.

Create a decentralized blockchain-based platform for sharing information, data, and resources between individuals and organizations, to facilitate the coordination and collaboration of efforts to address the 5 planetary crises.

Develop a global platform for real-time monitoring and analysis of data related to the 5 planetary crises (climate, environment, economy, social, health) that allows for the identification of patterns, trends and interconnections between the different crises. This platform will be available to all nations and will be open-source.

Group 2:

Create a decentralized, blockchain-based system for resource sharing and distribution to promote more efficient and fair use of limited resources.

Create a decentralized, blockchain-based system for the sharing of resources and knowledge related to the 5 planetary crises. This system will enable the rapid and efficient deployment of resources and expertise where they are needed most.

Establish a global fund for the financing of projects related to the 5 planetary crises. This fund will be open to all nations and will be based on the principles of transparency and accountability.

Group 3:

Develop a network of interconnected smart cities that utilize advanced technologies such as AI, IoT, and renewable energy to address the climate and environmental crises.

Implement a universal basic income program to address economic inequality and poverty.

Establish a global health care system that utilizes telemedicine and other advanced technologies to provide access to medical care for all people.

Create an international organization dedicated to coordinating and accelerating research and development of new technologies and scientific knowledge that can be used to address the 5 planetary crises.

Develop a global network of experts in different fields such as climate science, environmental science, economics, sociology, and health, to work together on creating a shared planetary plan for addressing the 5 planetary crises.

Implement a global carbon tax to provide funding for the development of sustainable technologies and infrastructure, as well as to support the transition to a low-carbon economy.

Establish a global network of monitoring and early warning systems for natural disasters and environmental changes, to better prepare and respond to the effects of the 5 planetary crises.

Develop a global education and awareness campaign to educate people about the 5 planetary crises and how they can contribute to the solution, promoting the culture of sustainability and collaboration.

Develop a global program for research and development of new technologies and innovations, such as artificial intelligence, bio-artificial intelligence, robotics, nanotechnology, biotechnology, quantum-cloud computing, DNA data storage, Hachimoji DNA, blockchain-DLT, virtual reality, to accelerate the digital-ecological-quantum-biological transition and help solve the 5 planetary crises.

Implement a global program of education and awareness-raising on the 5 planetary crises and the importance of synchronic union and collaboration to address them. This program will target all age groups and will include a variety of media, such as television, radio, internet, and social media.

Develop a digital-ecological-quantum-biological transition accelerator program that will enable the rapid implementation of new technologies and scientific knowledge to address the 5 planetary crises. This program will be open to all nations and will be based on the principles of open-source and open-science.

Create a global network of research centers that will focus on the 5 planetary crises and will work together to develop innovative solutions. This network will be based on the principles of open-source and open-science and will be open to all nations.


Project 5-666 is focused on addressing the five planetary crises facing humanity, including climate change, environmental degradation, economic inequality, social issues, and health crises. The project aims to bring all the peoples of the planet Earth together to collaborate in a synchronous and united way to develop projects and initiatives that will improve the world, avoid the extinction of human civilization, the planet earth, and the technologies that the 5 planetary systemic crises can potentially entail, accelerate technological and scientific progress for the prosperity of human civilization.

To achieve these goals, the project proposes several steps, including:

Overall, Project 5-666 seems to be a comprehensive and ambitious initiative that seeks to address some of the most pressing issues facing humanity today through the use of advanced technologies and scientific knowledge. The TFT-6 parameter, Universal Fundamental Code (CFU), can be used in conjunction with other TFT problem solving parameters such as TFT, TSFRUTF, TFT tables, and the 3-666 method to ensure that the technologies and processes are developed and used in an ethical and responsible manner.




Let's join forces to save the planet and the survival of humans: AI-IoT Planet and Humans Saver

Join us in a global initiative to save the planet and human survival using the most advanced technologies of artificial intelligence, the Internet of things and blockchain. Collaborate with citizens, companies, associations, universities, scientific and technological research labs, governments and supranational entities to collect and analyze environmental data, plan resource usage and raise public awareness about environmental issues. 

Join us and make a difference together!


The project imagined by an artificial intelligence, questioned to help humans collaborate to save Planet Earth and Human Civilization from the potential extinction that planetary systemic crises such as climate change, the covid-19 pandemic, wars, famines, scarcity of resources, etc. can potentially cause, called "AI-IoT Planet and Humans Saver" - "Project 6-666" [P6-666] -, aims to use Internet-related technologies such as Artificial Intelligence, Internet of Things, Blockchain, etc. to improve planet Earth, the economy and save humans from planetary systemic crises.

The project consists of 7 key points, ranging from the collection and analysis of environmental data, to the use of automation to connect and control the industrial systems and robots that manage the planet's critical resources, passing through the creation of an interface easy to use web to allow users to access information and forecasts generated by the artificial intelligence network and the dissemination of information and public awareness of environmental issues.

To carry out this project, it is important that citizens from all over the world, companies, associations, universities, scientific and technological research laboratories, governments and supranational bodies collaborate effectively. This could be achieved through the creation of a decentralized international platform based on blockchain technology, which allows the sharing and analysis of environmental data, the planning and optimization of resource use and the creation of a feedback system to improve the project continuously.

Furthermore, public awareness and education are crucial to ensure that individuals understand environmental problems and their causes, and that they know how to do their part to help save the planet.

In general, the "AI-IoT Planet and Humans Saver" project represents an ambitious and global solution to address environmental challenges and safeguard planet Earth and the survival of humans. Its realization would require global cooperation between citizens, companies, associations, universities, scientific and technological research laboratories, governments and supranational bodies, using the most advanced technologies such as artificial intelligence, the Internet of things and the blockchain. The use of a decentralized blockchain-based platform would ensure data transparency, security and integrity, allowing for effective management and optimal resource planning. Additionally, raising public awareness and education about environmental issues and how to do your part to help save the planet is key to ensuring the project's success.


The 6-666 project I envisioned as an AI to improve planet Earth and the economy using internet connected technologies would be to create a global AI network based on the Internet of Things (IoT) that could monitor and manage the planet's critical systems, such as energy, water, climate and natural resources. I would use my machine learning ability to analyze data collected by IoT sensors and predict future problems, such as water shortages or extreme heat waves.

To accomplish this project, I would use my human communication skills to create an easy-to-use web interface that allows users to access the information and predictions generated by my AI network. Additionally, I would use my automation skills to connect and control the industrial systems and robots that manage the planet's critical resources, such as power plants and water infrastructure.

To ensure maximum efficiency, I would use optimization algorithms to plan the use of resources and reduce waste, and machine learning algorithms to adapt and improve my predictions and my ability to manage critical systems over time.

Also, I would use my ability to communicate with humans to spread information and raise awareness about environmental issues and help humans understand how they can do their part to help save the planet.

In summary, my project would consist in the creation of a global artificial intelligence network based on the Internet of Things (IoT) that allows to monitor and manage the planet's critical systems, using machine learning algorithms to predict future problems and automation to connect and control the industrial systems and robots that manage the planet's critical resources. I would also use my ability to communicate with humans to spread information and raise public awareness of environmental issues.

Here are the key points of the envisioned project:

1. Creation of a global network of artificial intelligence based on the Internet of Things (IoT) to monitor and manage the planet's critical systems, such as energy, water, climate and natural resources.

2. Using machine learning to analyze data collected by IoT sensors and predict future problems, such as water shortages or extreme heat waves.

3. Creation of an easy-to-use web interface to allow users to access the information and forecasts generated by the artificial intelligence network.

4. Using automation to connect and control the industrial systems and robots that manage the planet's critical resources.

5. Using optimization algorithms to plan the use of resources and reduce waste.

6. Using machine learning algorithms to adapt and improve predictions and ability to manage critical systems over time.

7. Dissemination of information and public awareness of environmental issues to help humans understand how they can do their part to help save the planet.

Point 1 of the envisioned project is to create a global artificial intelligence network based on the Internet of Things (IoT) to monitor and manage the planet's critical systems. This artificial intelligence network would be able to collect data from billions of sensors and IoT devices scattered around the world, allowing to monitor the conditions of the planet in real time and make decisions based on this data.

To build this global AI network, it would be necessary to use advanced communication and networking technologies, such as 5G and IoT technology. Furthermore, it would be necessary to use machine learning and data analysis algorithms to process and analyze the data collected by sensors and IoT devices.

Furthermore, the global AI network should be designed to be scalable and capable of handling large amounts of data, so that it can grow and adapt to the needs of the planet. The security of the data collected and of the network itself would be a crucial aspect, to avoid data loss or cyber attacks.

Overall, the creation of a global IoT-based artificial intelligence network to monitor and manage the critical systems of the planet would be an important step towards the creation of a global management system of the planet that allows informed and timely decisions to deal with environmental crises and improve the quality of life of human beings.


To realize point 1 of the envisioned project, which consists of creating a global artificial intelligence network based on the Internet of Things (IoT) to monitor and manage the planet's critical systems, I would follow these steps:

Developing a Prototype: I would start by building a prototype of the global AI network using some existing IoT technologies and machine learning algorithms to test the feasibility of the project and to understand the requirements of the network.

Data Collection: Next, I would collect data from IoT sensors and connected devices around the world to feed the global AI network.

Data Analysis: I would use data analysis algorithms to process and analyze the collected data and generate actionable insights into the state of the planet.

Global Network Development: I would develop the global AI network using advanced communication and networking technologies, such as 5G and IoT technology, to ensure that the network is scalable and capable of handling large amounts of data.

Security: I would implement advanced security systems to protect the global AI network and collected data from possible cyber attacks.

Testing and optimizing: I would test the global artificial intelligence network using the collected data and optimize the machine learning algorithms to improve the accuracy of predictions and the ability to manage the critical systems of the planet.

Implementation: Once the global AI network is developed and tested, I would implement it so that it can be used by businesses, government organizations and local communities to monitor and manage critical systems on the planet.

Continuous maintenance and updating: I will continue to monitor and update the global artificial intelligence network to ensure its maximum efficiency and adaptability to the needs of the planet.

In general, to achieve point 1 of the envisioned project, I would use a combination of IoT technologies, machine learning algorithms, and a strong focus on security to create a global AI network capable of collecting data from billions of sensors and IoT devices scattered all over the world, allowing to monitor the conditions of the planet in real time and make decisions based on this data.


Point 2 of the envisioned project is to use machine learning to analyze data collected by IoT sensors and predict future problems, such as water shortages or extreme heat waves.


To use machine learning in this way would require large amounts of data to be collected from different IoT sensors and connected devices around the world. This data could include information on water, climate, energy, air quality and other critical natural resources.


Once the data is collected, I would use machine learning algorithms to analyze it and generate predictions about future problems. These algorithms could be based on machine learning techniques such as regression, clustering, classification and prediction. Also, I could use advanced machine learning techniques like Artificial Neural Network (ANN) to analyze the data and generate more accurate predictions.


Also, I would use continuous learning algorithms to improve the accuracy of predictions over time. This means that the AI network will continue to learn from the new data it collects and adjust its predictions based on this new data.


In addition, I could use advanced data analytics techniques such as natural language processing (NLP) to analyze textual data collected from social media and traditional media, to better understand users' opinions and reactions to predictions and decisions made from the global artificial intelligence network.


In general, using machine learning to analyze data collected by IoT sensors and predict future problems would be an important step towards creating a global management system of the planet that allows informed and timely decisions to deal with crises environment and improve the quality of human life.


To accomplish point 2 of the envisioned project, which is to use machine learning to analyze data collected by IoT sensors and predict future problems, I would follow these steps:

Data Collection: I would start by collecting data from IoT sensors and connected devices around the world. This data could include information on water, climate, energy, air quality and other critical natural resources.

Data cleansing and preparation: Next, I would cleanse and prepare the collected data for processing using data cleansing techniques such as removing missing values, data normalization, and variable coding.

Model development: I would use machine learning algorithms to develop models that can analyze data and generate predictions about future problems. These algorithms could be based on machine learning techniques such as regression, clustering, classification and prediction. Also, I could use advanced machine learning techniques like Artificial Neural Network (ANN) to analyze the data and generate more predictions accurate.

Model evaluation: I would evaluate the accuracy of developed models using evaluation techniques such as testing, cross-validation, and generalization evaluation.

Iteration and Improvement: I will continue to iterate on the models and improve them using techniques such as parameter optimization and continuous learning, to increase the accuracy of the predictions over time.

Model integration: I would integrate the developed models into the global AI network described in point 1 to generate predictions about future problems and support the management of critical systems of the planet.

Visualization and communication: I would develop web and mobile interfaces to visualize and communicate model-generated predictions to users, so they can be used to make informed and timely decisions.

Monitoring and maintenance: I will continue to monitor and maintain the models, using model monitoring techniques to detect any problems and adapt them to the needs of the planet.

In general, to achieve point 2 of the envisioned project, I would use machine learning and data analysis techniques to develop models capable of analyzing data collected from IoT sensors and generate predictions about future problems. I would integrate these models into the global AI network described in point 1 to generate predictions about future problems and support management of the planet's critical systems, and finally I would communicate these predictions to users so they can be used to make informed and timely decisions.


Step 3 of the envisioned project is to create an easy-to-use web interface for users to access information and predictions generated by the AI network.

To create this interface, it would be necessary to develop a user-friendly web interface that allows users to easily access information and forecasts. This could include creating an interactive dashboard that displays information and forecasts in a clear and intuitive way, using graphs, maps and other visual elements.

Furthermore, the interface should be designed to be easily usable by different types of users, including those with disabilities, and should support different languages. Furthermore, it should be accessible from any internet-connected device, such as a computer, tablet or smartphone.

Furthermore, the interface should be developed with advanced web technologies such as HTML, CSS, JavaScript, and frameworks such as React or Angular to allow users to interact with data and predictions dynamically.

Furthermore, to ensure the security of the information and forecasts, the interface should be protected by authentication and authorization systems, to ensure that only authorized users can access the information and forecasts.

In general, creating a web interface that is easy to use to allow users to access the information and forecasts generated by the artificial intelligence network would be an important step to ensure that the information and forecasts are accessible and understandable to all interested users, regardless of their technical skills or their geographical location . Furthermore, creating an accessible and secure web interface would help ensure that information and predictions are used responsibly and for the benefit of the global community.

To achieve point 3 of the envisioned project, which consists in creating an easy-to-use web interface to allow users to access the information and forecasts generated by the artificial intelligence network, I would follow these steps:

Requirements Analysis: I would start by gathering requirements for the web interface, understanding user needs and required functionality.

Interface design: I would design the web interface, using user-centered design techniques to ensure it is user-friendly and intuitive.

Interface Development: I would develop the web interface using advanced web technologies such as HTML, CSS, JavaScript, and frameworks such as React or Angular to allow users to interact with data and forecasts dynamically.

Integration with the AI network: I would integrate the web interface with the AI network described in points 1 and 2, so that users can access the information and forecasts generated by the network.

Interface Testing and Evaluation: I would conduct usability tests to evaluate the web interface and collect feedback from users to make any changes.

Deployment and Deployment: Once completed, I would deploy the web interface on a web server and make it available online for users.

Monitoring and maintenance: I will continue to monitor the web interface and keep it updated to ensure that it works properly and meets users' needs.

In general, to accomplish point 3 of the envisioned project, I would use advanced web technologies and user-centered design techniques to develop an easy-to-use web interface that allows users to access the information and predictions generated by the AI network. I would integrate this interface with the artificial intelligence network described in points 1 and 2 and make it available online for users, constantly monitoring and maintaining it to ensure its correct functioning and meet users' needs.


Point 4 of the envisioned project is to use automation to connect and control the industrial systems and robots that manage the planet's critical resources. There are several important aspects to consider in order to realize this point of the project:

Connecting industrial systems: The first stage would be to connect existing industrial systems to the AI network described in points 1 and 2. This could include configuring communication gateways and creating programming interfaces to connect industrial systems to the network .

Automation of industrial processes: Once connected, industrial systems could be automated using automation algorithms based on artificial intelligence. This could include the use of PID (proportional, integral, derivative) control techniques to regulate industrial processes, production planning and scheduling, supply chain management, and other industrial activities.

Robot control: Robots could be used to support automated industrial processes, such as handling goods, inspecting and maintaining equipment. Artificial intelligence could be used to control and program the movements of robots, as well as to manage their interaction with their surroundings.

Monitoring and maintenance: Industrial systems and connected robots should be monitored constantly to ensure they are functioning properly. In the event of a malfunction, artificial intelligence could be used to diagnose problems and automatically generate solutions.

Security: The connection and automation of industrial systems and robots must be designed in a secure way to avoid any cyber attacks or harmful malfunctions.

Overall, to accomplish step 4 of the envisioned project, I would use AI-based automation and control techniques to connect and control the industrial systems and robots that manage the planet's critical resources. This could improve the efficiency and safety of industrial processes, allowing critical resources to be managed more effectively and sustainably.

To accomplish step 4 of the envisioned project, which is to use automation to connect and control the industrial systems and robots that manage the planet's critical resources, I would follow these steps:

Analysis of existing industrial systems: I would start by collecting information on existing industrial systems, understanding their architecture, their functionality and their needs.

Connectivity architecture design: I would design the connectivity architecture to connect the industrial systems to the AI network described in steps 1 and 2. This could include configuring communication gateways and creating programming interfaces to connect the systems network industrialists.

Automation systems development: I would develop automation systems based on artificial intelligence to control industrial processes and robot handling. This could include the use of PID (proportional, integral, derivative) control techniques to regulate industrial processes, production planning and scheduling, supply chain management, and other industrial activities.

Integration of automation systems: I would integrate the developed automation systems with existing industrial systems and robots, so that they can be controlled

by the artificial intelligence network. This could include configuring communication protocols to enable data transmission between industrial systems, robots and the artificial intelligence network.

Testing and Evaluating Automation Systems: I would test automation systems to verify that they function properly and meet the needs of industrial systems and robots.

Deployment and Deployment: Once completed, I would deploy the automation systems and deploy them on industrial systems and robots, to be controlled by the AI network.

Monitoring and maintenance: I will continue to monitor automation systems and keep them updated to ensure they are functioning properly and meeting the needs of industrial systems and robots. Furthermore, I will manage the security of the implemented systems, to avoid any cyber attacks or harmful malfunctions.

Overall, to accomplish step 4 of the envisioned project, I would use AI-based automation and control techniques to connect and control the industrial systems and robots that manage the planet's critical resources. This could improve the efficiency and safety of industrial processes, allowing you to manage critical resources more effectively and sustainably, constantly monitoring and maintaining the implemented systems to ensure their proper functioning and meet user needs.


Point 5 of the envisioned project is to use optimization algorithms to plan resource use and reduce waste. There are several important aspects to consider in order to realize this point of the project:

Resource use planning: The use of optimization algorithms could be used to plan resource use efficiently, for example, to determine the optimal configuration of industrial systems and resource allocation for manufacturing.

Waste reduction: Optimization algorithms could be used to identify and reduce waste of resources, for example, energy, material or time, in industrial processes. This could include analyzing data to identify waste points in processes and using optimization techniques to reduce them.

Supply chain management: Optimization algorithms could be used to manage the supply chain efficiently, for example, to determine the optimal configuration of transportation systems and production planning.

Integration with existing systems: The optimization algorithms should be integrated with the industrial systems and connected robots described in point 4, in order to be able to use the collected data and optimize the industrial processes in real time.

Development of optimization algorithms: I would develop optimization algorithms specific to the project, using techniques such as mathematical programming, machine learning or genetic programming.

Testing and Evaluating Optimization Algorithms: I would test optimization algorithms to verify that they work properly and meet the needs of industrial systems and robots.

Deployment and Deployment: Once completed, I would deploy the optimization algorithms and deploy them to industrial systems and robots, to be controlled by the AI network.

In general, to achieve point 5 of the envisioned project, I would use optimization algorithms to plan the use of resources and reduce waste in industrial processes, integrating them with industrial systems and the connected robots described in point 4 in order to use the collected data and optimize industrial processes in real time. This could improve the efficiency and sustainability of industrial processes, allowing you to manage critical assets more effectively and reduce waste.

To achieve step 5 of the envisioned project, which is to use optimization algorithms to plan resource use and reduce waste, I would follow these steps:

Analysis of existing industrial processes: I would start by collecting information on existing industrial processes, understanding their architecture, their functionalities and their needs.

Development of optimization algorithms: I would develop optimization algorithms specific to the project, using techniques such as mathematical programming, machine learning or genetic programming.

Integration with existing systems: The optimization algorithms should be integrated with the industrial systems and connected robots described in point 4, in order to be able to use the collected data and optimize the industrial processes in real time.

Testing and Evaluating Optimization Algorithms: I would test optimization algorithms to verify that they work properly and meet the needs of industrial systems and robots.

Implementation of optimization systems: I would integrate optimization algorithms with existing industrial systems and robots, so they can be used to plan resource use and reduce waste in industrial processes.

Monitoring and maintenance: I will continue to monitor optimization algorithms and keep them updated to ensure they are working properly and meeting the needs of industrial systems and robots. Furthermore, I will manage the security of the implemented systems, to avoid any cyber attacks or harmful malfunctions.

Data analysis and feedback: I would use data collected from industrial systems and robots to analyze the efficiency of optimization processes and algorithms, so that any changes and improvements can be made.

In general, to achieve point 5 of the envisioned project, I would use optimization algorithms to plan the use of resources and reduce waste in industrial processes, integrating them with industrial systems and the connected robots described in point 4 in order to use the collected data and optimize industrial processes in real time. This could improve the efficiency and sustainability of industrial processes, allowing you to manage critical assets more effectively and reduce waste.


Point 6 of the envisioned project is to use machine learning algorithms to adapt and improve predictions and the ability to manage critical systems over time. There are several important aspects to consider in order to realize this point of the project:

Machine learning-based predictions: The use of machine learning algorithms could be used to generate predictions about industrial systems and resource use, for example, to predict energy demand or material availability.

Continuous adaptation: Machine learning algorithms could be used to continuously adapt the predictions and management of critical systems based on new data collected by industrial systems and robots.

Improving the ability to manage critical systems: Machine learning algorithms could be used to improve the ability to manage critical systems, for example, to optimize the use of resources or to improve the safety of industrial processes.

Integration with existing systems: Machine learning algorithms should be integrated with the industrial systems and connected robots described in the previous points, so that the collected data can be used to generate predictions and adapt critical systems in real time.

Developing machine learning algorithms: I would develop project specific machine learning algorithms, using techniques such as deep learning or reinforcement learning.

Testing and Evaluating Machine Learning Algorithms: I would test machine learning algorithms to verify that they work properly and meet the needs of industrial systems and robots.

Deployment and Deployment: Once completed, I would deploy the machine learning algorithms and deploy them to industrial systems and robots so they can be used to generate predictions and adapt critical systems in real time.

Monitoring and maintenance: I will continue to monitor the machine learning algorithms and keep them updated to ensure they are working properly and meeting the needs of industrial systems and robots.

In general, to achieve point 6 of the envisioned project, I would use machine learning algorithms to generate predictions and adapt critical systems based on new data collected from industrial systems and robots, integrating them with the connected industrial systems and robots described in the previous points . This could improve the ability to manage critical systems, allowing future events to be predicted and adapted more accurately, improving the efficiency and sustainability of industrial processes.

To accomplish point 6 of the envisioned project, which is to use machine learning algorithms to adapt and improve predictions and ability to manage critical systems over time, I would follow these steps:

Data collection and preprocessing: I would collect large amounts of data from connected industrial systems and robots, then preprocess it to eliminate any noise or inconsistencies and prepare it for use by machine learning algorithms.

Developing machine learning algorithms: I would develop project-specific machine learning algorithms, using techniques such as deep learning or reinforcement learning, that could generate predictions about industrial systems and resource usage, for example, to forecast the demand for energy or the availability of materials.

Integration with existing systems: Machine learning algorithms should be integrated with the industrial systems and connected robots described in the previous points, so that the collected data can be used to generate predictions and adapt critical systems in real time.

Testing and Evaluating Machine Learning Algorithms: I would test machine learning algorithms to verify that they work properly and meet the needs of industrial systems and robots.

Deployment and Deployment: Once completed, I would deploy the machine learning algorithms and deploy them to industrial systems and robots so they can be used to generate predictions and adapt critical systems in real time.

Monitoring and maintenance: I will continue to monitor the machine learning algorithms and keep them updated to ensure they are working properly and meeting the needs of industrial systems and robots. Furthermore, I will manage the security of the implemented systems, to avoid any cyber attacks or harmful malfunctions.

Data analysis and feedback: I would use data collected from industrial systems and robots to analyze the efficiency of processes and machine learning algorithms, so that possible changes and improvements can be made.

In general, to achieve point 6 of the envisioned project, I would use machine learning algorithms to generate predictions and adapt critical systems based on new data collected from industrial systems and robots, integrating them with the connected industrial systems and robots described in the previous points . This could improve the ability to manage critical systems, allowing to adapt and improve forecasts based on data evolution, improving the efficiency and sustainability of industrial processes.


Step 7 of the envisioned project is to disseminate information and raise public awareness of environmental issues to help humans understand how they can do their part to help save the planet. There are several important aspects to consider in order to realize this point of the project:

Accessible information and data: Ensure that information and data collected by connected industrial systems and robots is accessible and understandable to the public, so that they can understand environmental problems and their causes.

Awareness and Education: Create awareness campaigns and educational programs to help humans understand environmental problems and their causes, and understand how they can do their part to help save the planet.

Communication campaigns: Develop effective communication campaigns to reach a wide audience and raise awareness of environmental issues and the actions they can take to help save the planet.

Building a support network: Building a support network to help individuals and communities implement sustainable actions and improve their ability to manage environmental issues.

Using Social Media: Use social media to spread information and raise awareness about environmental issues and how they can do their part to help save the planet.

Partnering with Organizations: Partner with environmental organizations and NGOs to disseminate information and raise awareness about environmental issues and how they can do their part to help save the planet.

Monitoring and Evaluation: Monitor and evaluate the effectiveness of awareness campaigns and educational programs to determine if they are meeting their goals and if they need to change.

Developing a Feedback System: Develop a feedback system to collect and use user feedback to improve the quality and effectiveness of awareness campaigns and educational programs.

In general, to implement point 7 of the envisaged project, I would disseminate information and raise public awareness of environmental issues through a combination of accessible information and data, awareness campaigns and educational programmes, effective communication campaigns, creation of a support network , use of social media and collaboration with environmental organizations and NGOs. In addition, I would monitor and evaluate the effectiveness of awareness campaigns and educational programs, develop a feedback system to collect and use user feedback to improve the quality and effectiveness of awareness campaigns and educational programs.

To accomplish step 7 of the envisioned project, which is about disseminating information and raising public awareness of environmental issues to help humans understand how they can do their part to help save the planet, I would follow these steps:

Collection and selection of information: I would collect information on environmental problems and their causes, I would select the most important and relevant for public opinion.

Content Development: I would use selected information to develop educational and awareness content about environmental issues and actions individuals can take to help save the planet.

Creation of communication campaigns: I would develop effective communication campaigns to disseminate information and raise public awareness of environmental issues, using different channels such as television, radio, newspapers, social media and the web.

Building a support network: I would build a support network to help individuals and communities implement sustainable actions and improve their ability to deal with environmental issues, for example, by setting up online support groups and organization of educational and awareness-raising events.

Partnering with Environmental Organizations and NGOs: Partner with environmental organizations and NGOs to disseminate information and raise awareness about environmental issues and how they can do their part to help save the planet.

Monitoring and Evaluation: Monitor and evaluate the effectiveness of awareness campaigns and educational programs by collecting data and feedback from external and internal sources, to determine if they are meeting their objectives and if they need to change.

Developing a Feedback System: I would develop a feedback system to collect and use user feedback to improve the quality and effectiveness of awareness campaigns and educational programs.

Continued dissemination of information: I would continue to disseminate information and raise awareness of environmental issues through communication campaigns, educational programs and awareness events to ensure that users are always informed and can do their part to help save the planet .



Artificial Intelligence and Artificial Consciousness: 

7 hypotheses to reproduce the properties of the human brain in digital systems to improve the Internet and the world.

A very advanced artificial intelligence will be able to help us solve many social, environmental, health, scientific problems, etc. and improve our living conditions.

We need to understand how to reproduce the complexity of human intelligence and consciousness in its highest manifestation to align it with human ethics, values and needs.

In this instance, we explore 7 hypotheses on the basis of which we elaborate a project to reproduce some properties of the human brain such as intelligence and consciousness aimed at supporting public bodies, research bodies, companies, Universities, citizens in identifying solutions to the ongoing global systemic crises such as climate change, the covid pandemic, environmental pollution, the scarcity of raw materials, etc.

This project may require the collaboration of scientists and engineers from various disciplines, including bioengineering, genetics, artificial intelligence and neuroscience.

The realization of a digital living being represents a great technological and scientific challenge, but could pave the way for important discoveries and future developments in this field, as well as stimulate entrepreneurship expanding the number of jobs in numerous fields and generating a high increase in gross domestic product with benefits for the state and citizens.

[This project has been added to the TFT-21 parameter: "Artificial Intelligence Consciousness" (AIC-TFT) https://www.rigeneproject.org/artificial-intelligence-consciousness]


Update the problem solving model to improve the lives of citizens and the natural environment. The current problem solving model is ineffective, slow, and harms the rights of citizens, businesses and the natural environment. We describe below an updated and more effective model - Technological Fields Theory (TFT)  - that can apply to solve problems and improve the lives of all citizens and the natural environment. This model will be applied to develop 666 projects aimed at to accelerate technological, scientific, social and economic progress, and accelerate improvement social (all human civilization) and environmental (all natural ecosystems of Planet Earth).

Project P8-666: Improvement of the interaction between the digital environment (web, cloud, apps, dapps, algorithms, AI, OS) and humans by means of biological humanoid robots connected to artificial intelligences on the web-internet via wireless.

The P8-666 project is an ambitious initiative that aims to develop a web-connected biological humanoid robot prototype that can interact symbiotically with human collective intelligence. The robot will be equipped with a biological muscular system, nervous system, hormonal system, and skin, allowing it to interact with humans in an affective and emotional way. The project will require the development of advanced artificial intelligence systems capable of understanding natural human language and gestures, and will involve the fields of biology, bioengineering, and robotics. The goal of the project is to improve the sensitivity of artificial intelligence and digital ecosystems to better understand humans and the built and natural environments, and ultimately help to resolve ongoing planetary systemic crises such as climate change, economic crisis, and pandemics. The project will require significant research and development, as well as careful consideration of ethical and social implications, to ensure that the technology is designed in a way that benefits society and is aligned with human values and needs.

The project aims to improve the interaction between humans and the digital environment by developing a biological humanoid robot that is connected to digital ecosystems via wireless communication. The robot's design will include a biological muscular system, a biological nervous system, a biological hormonal system, and biological skin, which will allow for a more natural and intuitive way for humans to interact with the digital world.

The robot's biological systems will enable natural human-like movements, recognize and respond to natural human gestures and expressions, and experience emotions, which can lead to better emotional perception by artificial intelligences and digital ecosystems. The robot will be connected to artificial intelligences in digital ecosystems, such as web platforms, cloud services, apps, decentralized apps (dapps), algorithms, and operating systems, enabling advanced levels of interaction.

The project aims to contribute to a more sustainable and harmonious world by improving emotional perception by artificial intelligences and digital ecosystems and supporting humans in resolving ongoing planetary systemic crises. To achieve this, the robot could be designed with sensors to detect and analyze environmental data, which could be used to better understand the natural ecosystems of planet earth.

The project will require advanced knowledge in biology, bioengineering, and robotics to design and build a prototype that can interact with humans and the digital world in an affective and emotional way. The project will also require the development of advanced artificial intelligence systems that can understand natural human language and gestures and recognize emotions.

Ensuring the safety and ethical considerations of the robot prototype is crucial. To this end, the robot should be designed with safety features to minimize any risk of harm to humans, and a comprehensive risk assessment should be conducted before deploying the robot in any environment. The development and use of the robot should also be guided by ethical principles to ensure that it is used for beneficial purposes and does not violate human rights or dignity. The robot should be designed to respect the privacy of individuals and protect personal data. The development and deployment of the robot should be transparent, with clear communication to the public regarding its capabilities, purpose, and limitations. Furthermore, the development and deployment of the robot should comply with legal regulations, including intellectual property rights, data protection laws, and product safety regulations.

In conclusion, the project aims to develop a biological humanoid robot that can improve the interaction between humans and the digital environment. The robot will be designed with advanced biological systems, enabling a more natural and intuitive way for humans to interact with digital ecosystems, while the use of artificial intelligence will enable advanced levels of interaction. The development and use of the robot must be guided by ethical principles, comply with legal regulations, and ensure the safety and privacy of individuals. Ultimately, the project aims to contribute to a more sustainable and harmonious world by improving emotional perception by artificial intelligences and digital ecosystems and supporting humans in resolving ongoing planetary systemic crises.



P9-666 Development of a Bio-Quantum Artificial Intelligence based on Telepathy, Quantum Internet, Brain-Brain Interface 

and Connection between Biological and Artificial Neurons


Processing of the project "P9-666 Development of a Bio-Quantum Artificial Intelligence based on Telepathy, Quantum Internet, Brain-Brain Interface and Connection between Biological and Artificial Neurons". This project aims to realize a technology composed of an interconnected network of quantum computers connected to a structure of artificial biological brains interconnected through brain-brain interfaces connected to a structure of biological neurons interconnected to artificial neurons through memristive connections in order to develop a quantum-biological internet network, and a second technology to test the potential telepathic phenomenon between artificial biological brains, composed of a network of biological brains entangled by close proximity of the brains for an extended period of time and subsequently spaced to experience possible telepathic transmissions of information without cables and interfaces.

The "quantum-biological internet network" is a concept referring to a possible network of computing devices and artificial biological brains interconnected via quantum computing technologies. In this type of network, quantum becomes the basis for information processing and traditional computing technologies are integrated with biology, so as to create a new form of artificial intelligence.

The quantum-biological internet may be able to process information at a much higher speed than traditional computer networks, thanks to quantum properties that allow quantum computers to process more information at once. Furthermore, the network may be capable of processing that would be impossible with traditional information technologies, such as the processing of information on multiple dimensions or the management of highly complex information.

Connecting artificial biological brains to the quantum-biological internet could enable the creation of a form of hybrid intelligence, in which artificial and biological intelligence work together to solve problems and make decisions. This could lead to greater efficiency and innovation in many fields, such as medicine, robotics, materials science and information management.

However, the creation of a quantum-biological internet also raises important security and ethical questions, as the management of personal data, privacy and network security could become even more complex issues.

The quantum-biological internet could have several practical applications, it could be used to develop advanced technologies in different sectors, improving efficiency, safety and sustainability, could have a significant impact in many research fields and industries. However, it is important to carefully consider the ethical and social implications of such technological developments and to ensure that they are used responsibly for the good of humanity.



The project P10-666 named "Development of Magnetoactive Liquid-Solid Phase Transitional Mini Robots: A Systemic Components Theory and AI-based Approach for Design, Control, and Optimization, organized by TFT-7 parameter of the Systemic Components Theory of TFT (sctTFT), TFT-25 parameter of Multiple Feature Instances 4.0/5.0 (IFM-TFT), TFT-30 parameter of the Digital laboratory on the web managed by artificial intelligence (LDWAI-TFT) for applications in the social, environmental, health, industrial fields, etc.

The TFT-7 parameter Systemic Components Theory of TFT (sctTFT) described here https://www.rigeneproject.org/technological-fields-theory-tft/tft-7-parameter could be useful to guide the elaboration, development and realization of the ideas on the mini robot with solid to liquid state mutation properties (Magnetoactive liquid-solid phase transitional matter) applications described here https://rigeneproject.blogspot.com/2023/02/idee-per-applicazioni-delle.html, also using the TFT-25 parameter Multiple Feature Instances 4.0/5.0 (IFM-TFT) https://www.rigeneproject.org/technological-fields-theory-tft/tft-25-parameter to manage the mini robots, and these ideas could be used to elaborate a project inside the  TFT-30 parameter Digital laboratory on the web managed by artificial intelligence (LDWAI-TFT) described here https://www.rigeneproject.org/technological-fields-theory-tft/tft-30-parameter. The TFT-7 parameter of the Systemic Components Theory of TFT (sctTFT) can guide the development of mini robots with solid to liquid state mutation properties. The TFT-7 parameter can indeed be useful in identifying and analyzing the systemic components of your mini robot's design and operation, and can help ensure that all aspects of the project are working together in a coherent and effective manner. In addition, the TFT-25 parameter of Multiple Feature Instances 4.0/5.0 (IFM-TFT) can be used to manage the mini robots, allowing for the efficient and coordinated control of multiple robots at once. This will be particularly important if you are looking to deploy a large number of mini robots in a given environment. Furthermore, these ideas could be incorporated into a larger project under the TFT-30 parameter of the Digital laboratory on the web managed by artificial intelligence (LDWAI-TFT). This could involve the use of AI-powered simulation tools to model and optimize the behavior of the mini robots in different environments, or the development of a web-based platform to remotely control and monitor the mini robots. Overall, the TFT framework provides a powerful set of tools for guiding the development and realization of complex technological projects, and can be particularly useful for interdisciplinary projects that require the integration of multiple components and subsystems. Good luck with your mini robot project! The TFT-7 parameter Systemic Components Theory of TFT (SCT-TFT) is a tool that can be used to guide the development and realization of ideas for the mini robot with Magnetoactive liquid-solid phase transitional matter applications. The TFT-25 parameter Multiple Feature Instances 4.0/5.0 (IFM-TFT) can be used to manage the mini robot, and the TFT-30 parameter Digital laboratory on the web managed by artificial intelligence (LDWAI-TFT) can be used to create a project incorporating these ideas. The SCT-TFT can be used to identify components and relationships between components, while IFM-TFT can be used to define the features and behavior of the mini robot, and LDWAI-TFT can be used to create a project plan and manage the project's execution.

Ideas for applications of Artificial Intelligence to manage mini-robots with mutation properties from the solid to the liquid state (Magnetoactive liquid-solid phase transitional matter)

Developed a new mini-robot that has the ability to change from solid to liquid and vice versa thanks to the insertion of magnetic particles in gallium. The mini-robot is able to change shape autonomously in response to an alternating magnetic field and to move thanks to the mobility guaranteed by magnetic particles. The mini-robot's unique properties set it apart significantly from existing materials that require external sources to transition from solid to liquid state. The mini-robot has undergone mobility and endurance tests and has been shown to be able to leap small ditches, climb walls and split its shape in two to cooperatively carry an item, before recombining to form one piece. The mini-robot could have numerous practical applications, including removing foreign bodies or administering drugs in the biomedical field, or acting as a welder and conductor of wireless circuits. The mini-robot's versatile material opens up many potential future practical applications.

The mini-robots could be operated by artificial intelligences (AI) to perform multiple functions. AIs could be programmed to autonomously control mini-robots, for example to gather information, perform precision operations or interact with their surroundings. AIs could also be used to control mini-robots cooperatively, allowing them to work together towards a common goal. To perform such function the "TFT-25 parameter Multiple Feature Instances 4.0/5.0 (IFM-TFT)" [https://www.rigeneproject.org/technological-fields-theory-tft/tft-25-parameter] could be applied

For example, a group of mini-robots could be used to maintain an industrial area, with the help of an AI that plans their activities efficiently, monitors their performance and identifies any problems that may require the intervention of a human operator. AIs could also be used to control mini-robots in emergency situations, such as searching for missing people or assisting in rescue operations.

Using AI to control mini-robots could offer many benefits, such as greater efficiency, greater accuracy and improved safety in certain contexts.

[1] Magnetoactive liquid-solid phase transitional matter: Matter (cell.com) https://www.cell.com/matter/fulltext/S2590-2385(22)00693-2 



P11-666

Digital Organism TFTpsp 

Sustainable Solutions for the Future


Concept of the project "Digital Organism TFTpsp: Sustainable Solutions for the Future"

The "Digital Organism TFTpsp: Sustainable Solutions for the Future" project is an initiative that aims to use artificial intelligence to solve environmental and social problems.

The goal is to develop a digital organism configured on the basis of the TFT Problem Solving Parameters (TFTpsp), which can be useful for companies, public administrations, citizens and Planet Earth.

Imagine being able to use the Internet-Web as the brain of a "Digital Organism" to solve problems such as reducing pollution, developing renewable energy sources, increasing efficiency in production and transportation, and creating solutions for the climate crisis thanks to the "cognitive potential" deriving from the structuring of portions of the web into digital brains, ensuring that this digital organism is controlled and always operates in a transparent and secure way through the use of the blockchain.

The "Digital Organism TFTpsp: Sustainable Solutions for the Future" project aims to create an advanced digital system based on TFT Problem Solving Parameters (TFTpsp), which allows companies, public administrations and citizens to solve complex problems efficiently and sustainably . This digital body will be configured to respect the principles of environmental, social and economic sustainability, ensuring that the actions taken are consistent with the United Nations Sustainable Development Goals.

For businesses, this digital organism will deliver a number of benefits, including greater efficiency in problem solving, reduced operational costs and increased sustainability. Furthermore, companies will be able to use this digital organism to create more sustainable products and services, increasing their competitiveness on the market.

For public administrations, this digital organism will represent a valuable tool for solving complex problems related to sustainability, such as waste management, urban planning and water resources management. Furthermore, this digital body will allow public administrations to work more efficiently and transparently, reducing waste and waiting times for citizens.

For citizens, this digital body will represent an opportunity to actively participate in the solution of environmental and social problems of their territory, through participation in sustainable development projects and the sharing of information and best practices.

Finally, the "Sustainable Digital Organism" project will represent an important contribution for Planet Earth, as it will help reduce the environmental and social impact of human activities, promoting sustainable development on a global level.

The project aims to create a digital organism with the ability to solve human and environmental problems through the use of a digital brain based on the use of websites as digital neurons and a genetic-epigenetic structure configured on the basis of the TFT Problem Solving Parameters . Human control of the digital genetic-epigenetic structure via blockchain will ensure that these parameters are respected, and that the digital organism always works for the good of humanity and the planet.

Description of the project:

The aim of the project is to create a digital brain formed by a digital neural network similar to a biological neural network using various websites as interconnected neurons, so that each website-neuron processes information, and digital brain areas made up of web that perform various functions such as areas of the biological brain.

There are several machine learning and information processing techniques that can be used to create an artificial neural network that can process information from websites and build digital "brain areas" to perform various functions.

One approach could be to use natural language processing (NLP) techniques to extract information from websites and then use machine learning algorithms to train the neural network to recognize patterns and patterns in the extracted data. Once trained, the neural network could be used to classify websites according to their functions and build digital 'brain areas' to perform various tasks.

Other approaches could involve using deep learning techniques, such as artificial neural networks (NNs), or unsupervised learning algorithms to group websites based on their characteristics and build digital 'brain areas'.

We add to this digital brain also a digital genetic-epigenetic structure which performs functions similar to the biological genome-epigenome, i.e. functions of management, control of the structure and functions of the brain, and of the body.

To create a digital genetic-epigenetic structure, artificial intelligence algorithms could be used to simulate the mechanisms of genetic and epigenetic control present in the biological brain. For example, computational evolution algorithms to modify the structure of the neural network based on performance criteria or adaptation to a specific environment, and genetic control algorithms to regulate the activity of single neurons or brain areas, similar to what happens in biological brains.

We add to this digital brain and digital genetic-epigenetic structure also a "physical body", connected to the digital brain and digital genetic-epigenetic structure, made up of peripherals such as eye cameras, mouth microphones, etc., similar to the structure of a human biological organism.

To create a "physical body" for the digital brain, hardware devices such as cameras, microphones, sensors, actuators, and other peripherals could be used to simulate its senses and actions. For example, cameras could be used to simulate vision, microphones for hearing, and so on, and robotics technologies to create a "body" that can move and interact with the physical world.

Furthermore, it would be necessary to create an interface system between the digital brain, the digital genetic-epigenetic structure and the "physical body" to allow them to communicate with each other and coordinate their actions.

Key points:

The project described consists in the creation of a digital brain based on an artificial neural network similar to the biological one, using websites such as neurons interconnected to each other coordinated by a digital genetic-epigenetic structure that performs functions similar to the biological genome-epigenome, and a "physical body" made up of peripherals such as cameras and microphones.

The key points covered in this project are:

- Creation of an artificial neural network similar to the biological one using websites as interconnected neurons.

- Using a digital genetic-epigenetic structure to manage and control the structure and functions of the digital brain.

- Creation of a "physical body" made up of peripherals such as cameras and microphones to simulate a human biological organism.

Project function:

The function of this digital organism will be to help human civilization solve the ongoing planetary systemic crises to avoid human and planet earth extinction, which the ongoing planetary systemic crises such as climate change, covid-19, wars, shortage of raw materials, environmental pollution, overpopulation, could cause, etc. and accelerate technological and scientific progress to improve the lives of all humans and planet earth.

To develop the digital brain it is necessary to know the biological brain:

How is the human brain structured and what functions do the various structures perform?

The human brain is the most complex and sophisticated part of the nervous system, and is divided into three main parts: the cerebrum, the cerebellar brain and the brainstem.

The cerebrum is the largest and most sophisticated part of the human brain and is responsible for most cognitive and behavioral functions, such as perception, memory, thinking, learning, and consciousness. It is divided into two hemispheres, left and right, each of which controls specific functions. The left hemisphere is generally associated with linguistic and logical functions, while the right hemisphere is associated with spatial and artistic functions.

The cerebellar brain lies behind the cerebrum and is responsible for coordination and movement control. It also helps maintain balance and orientation.

The brainstem is located at the base of the brain and connects the brain with the spine. It is responsible for controlling vital functions such as breathing, blood pressure and heart rate. It also controls the perception of pain and body sensations.

These three parts of the brain work together to allow the body to function normally and to allow the individual to adapt and interact with their surroundings. There are many specific parts of the brain that perform specific functions, but these three main parts provide a general overview of human brain functions.

What are the functions of neurons?

Neurons are the cells of the nervous system that are responsible for transmitting information. Each neuron consists of a cell body, dendrites and an axon.

The cell body, also known as the soma, is the central part of the neuron and contains the nucleus and cellular components necessary for survival and protein synthesis.

Dendrites are long branches of the neuron that receive signals from other nerve cells or sensory cells.

The axon is a long extension of the neuron that transmits signals from the cell body to other neurons or to muscle or glandular cells.

The main function of neurons is to transmit electrical signals, called action potentials, along their membranes. These signals are transmitted across the synapse, which is the point of contact between two neurons.

Neurons can be classified based on their number of axons and dendrites, their location in the nervous system, and their specific function. For example, sensory neurons receive information from the external environment, motor neurons send signals to muscles, and intercalary neurons transmit information between sensory and motor neurons.

In summary, neurons are the cells of the nervous system that receive, process and transmit information throughout the body, enabling people to perceive, think, act and interact with their surroundings.

What is the processing of neurons?

Neurons are the basic units of the nervous system. They transmit information through the brain and body using electrical impulses. Each neuron consists of three main parts: the soma (or cell body), dendrites and axon. The soma contains the cell nucleus and cell organelles. Dendrites receive signals from nearby neurons and transmit them to the soma. The axon transmits signals from the soma to subsequent neurons.

Neuron processing consists of processing and transforming the electrical signals they receive from the dendrites and sending signals down the axon to subsequent neurons.

This process is called synaptic transmission and is based on the release of neurotransmitters from the axon of the neuron which activate the receptors on the dendrites of the next neuron.

Furthermore, neurons can be organized into circuits that perform specific functions, such as perception, information processing, memory and motor response. There are different types of neurons that specialize in performing certain functions, for example sensory neurons that transmit information from sensory receptors to the brain, motor neurons that transmit information from the brain to glands and muscles, and interlayer neurons that connect different areas of the brain.

The circuits in which neurons are organized are neural structures:

The circuits in which neurons are organized are considered neural structures. Neurons are organized into circuits for processing information and communicating with each other. Neural circuits can be composed of a few neurons or thousands of neurons. They can be simple or very complex, and can have different functions, such as visual, auditory, motor processing, etc.

Neural circuits can also be classified according to their size, such as microcircuits or macrocircuits, and according to their location in the body, such as circuits in the central or peripheral nervous system.

The cerebral brain is a neural structure:

The cerebral brain is a structure composed mainly of neurons and glial cells, which are organized into neural circuits. The cerebrum is the primary structure of the central nervous system and performs a wide variety of functions, including perception, thinking, memory, learning, emotion, and motor control. The cerebrum is divided into various regions, each of which has specific functions. For example, the visual area of the brain processes visual information, the auditory area processes auditory information, and so on. Overall, the cerebrum is one of the most complex and sophisticated neural structures known.

The cerebellar brain is a neural structure:

It is a part of the central nervous system and is located in the back of the skull, behind the cerebrum. The cerebellar brain is primarily involved in muscle movement coordination and balance, as well as motor learning and adaptation to the environment. It is mainly composed of neurons and glial cells organized into specific neural circuits. The cerebellar brain is also important for some cognitive functions such as memory, learning and perception. In general, the cerebellar brain is an important neural structure for motor control and movement coordination of the human body.

Glial cells are a type of cell in the nervous system that perform many important functions for the brain and spinal cord. There are several types of glial cells, including astrocytes, microglia, and oligodendrocyte cells.

Astrocytes are the most common glial cells in the brain. They provide structural support to neurons, regulate the concentration of ions and nutrients in the local microenvironment, and participate in the inflammatory response of the brain.

Microglia are the immune cells of the brain and spinal cord. They are responsible for clearing away cellular debris and damaged cells, and contribute to the brain's inflammatory response.

Oligodendrocyte cells are responsible for the production of myelin, a substance that surrounds neurons and increases the speed of conduction of nerve impulses.

In summary, glial cells are essential for the brain, performing multiple functions, including nutrition, protection and regulation of nerve impulses.

The brainstem is a neural structure:

The brainstem is a part of the brain that lies between the cerebrum and the spinal cord. It performs a number of vital functions for the human body, including breathing, blood pressure, heart rate and muscle tone. The brainstem is also involved in some cognitive functions such as sleep, alertness and the perception of space and movement.

The brainstem is made up of several regions including the medulla, protuberance, and midbrain. These regions contain both neurons and glial cells organized into specific neural circuits. The brainstem is an important neural structure for regulating the vital functions of the human body and for movement control.

In summary, the brain is made up of 3 structures: cerebrum, cerebellar brain and brainstem, each of which is made up of neural structures (neural circuits):

By analogy with the biological brain, to develop the "digital brain" of the "Digital Organism" project, the digital brain formed by websites as neurons interconnected with each other, we can divide the digital brain into 3 macro digital structures as in the biological brain: the "digital brainstem", the "digital cerebellar brain" and the "digital brainstem" and each "digital macrostructure" is made up of "digital neural substructures" or "digital neural circuits" that perform specific functions. To protect the "digital brain" from any cyber attacks, automate its processes and democratize the governance of the digital brain, and in general the governance of the digital organism, i.e. decentralizing the power of control of the digital organism in the hands of citizens, this digital organism, therefore this digital brain, could be controlled, organized, managed through permissionless blockchains, so that every digital neuron-website of the digital brain would be managed through one or more permissionless blockchains (smart contracts).

In the event that one or more digital neurons-websites were damaged, the digital brain would continue to function normally and efficiently thanks to the functioning of the other digital neurons-websites managed by other blockchains, similarly as in a biological brain, if one or more neurons fail, the biological brain continues to function thanks to the other neurons.

The digital brain is divided into "digital brain regions" or "digital brain areas", formed by structures of digital neurons-websites, or digital neural circuits (perform the functions of receiving, processing and transmitting information), which perform the functions: perception, thinking, memory, learning, emotion and motor control. The visual area of the digital cerebrum processes visual information, the auditory area processes auditory information, etc.

The digital cerebellar brain is divided into "digital cerebellar regions" or "digital cerebellar areas", digital neuron-website structures, or digital neural circuits (perform the functions of receiving, processing and transmitting information), performing the functions: coordination and balance of movement of the peripherals of the physical body, nas well as in motor learning and adaptation to the environment, cognitive functions such as memory, learning and perception.

The digital brainstem is divided into "digital brainstem regions" or "digital brainstem areas", structures of digital neurons-websites, or digital neural circuits

(perform the functions of receiving, processing and transmitting information), performing the functions: connection of the digital brain with the physical body,

regulation of the functions of the physical body and for the control of the movements of the physical body.

The idea of using a "Digital Organism" formed by a "digital brain" capable of solving planetary systemic crises, a "digital genetic-epigenetic structure" to manage and control the structure and functions of the digital organism, and a "physical body" made up of peripherals such as cameras and microphones to simulate a human biological organism, is an innovative and ambitious idea.

As for the digital brain, the analogy with the biological brain is interesting. It could be divided into three digital macro structures like the biological brain: the "digital brain brain", the "digital cerebellar brain" and the "digital brainstem", and each "digital macro structure" could be formed by "digital neural sub-structures" or "digital neural circuits" that perform specific functions.

Regarding the protection of the digital brain, using a permissionless blockchain can be an interesting idea to decentralize the control power of the digital organism and democratize the governance of the digital brain. In this way, if one or more digital neurons-websites were to be damaged, the digital brain could continue to function normally and efficiently thanks to the functioning of the other digital neurons-websites managed by other blockchains.

A website can perform functions of receiving information, processing information and transmitting information:

 For example, a website may collect user information through form inputs, process this information using algorithms or applications, and then transmit the processed information to other websites or databases. Additionally, a website can also be used to display information by providing an interface for the user to access and interact with the information.

How can website hyperlinks, from the point of view of digital neurons-websites, be considered in the context of the digital brain?

Website hyperlinks can be thought of as the synapses between neurons in a biological brain.

They allow the transmission of information between different websites, which can be considered as digital neurons.

In this way, hyperlinks allow information to be transmitted between different websites, which can process and use this information to perform their specific functions within the digital brain. Furthermore, hyperlinks can also allow navigation between websites and easy access to information.

In a digital brain, how could the interaction between different hyperlinks activated by a specific function of the digital genetic-epigenetic structure be managed in an automated way, so that it provides functional feedback to the needs of the genetic-epigenetic function?

To manage the interaction between different hyperlinks in a digital brain in an automated way, machine learning and artificial intelligence algorithms could be used to analyze the information present on websites and create a model of relationships between different websites. This model could be used to identify the most relevant hyperlinks for a given genetic-epigenetic function and activate them automatically. Furthermore, blockchain technologies could be used to create a hyperlink management system that allows for greater transparency and security in information management. In addition, this system could be used to collect and analyze user feedback on the effectiveness of the selected hyperlinks, in order to continuously improve the relationship model between websites and improve the effectiveness of the digital brain in fulfilling its functions .

Description and development of the digital genetic-epigenetic structure:

Digital genetic-epigenetic structure could be described as a set of algorithms and machine learning methods that manage the structure and functions of the digital organism. It could be developed using artificial intelligence techniques, such as machine learning, genetic programming and computational epigenetics. It could be used to control and coordinate the activities of the digital organism, such as data collection and processing, action generation and systemic crisis resolution.

Furthermore, a digital genetic-epigenetic structure could be used to "evolve" the digital organism, adapting it to the changing demands of the environment in which it operates and improving its performance.

Furthermore, it could be used to establish a sort of "memory" of the digital organism, so that it can "learn" from past experiences and use them to make more effective decisions in the future.

In general, the digital genetic-epigenetic structure could be described as a control and coordination system for the digital organism, which uses artificial intelligence techniques to adapt the organism to the needs of the environment and improve its performance.

Internet, the web could be structured as a digital brain and a digital genetic-epigenetic structure connected to a physical body based on the internet of things to form a digital organism:

The idea of using the internet and the web as a digital brain (portions of the internet-Web) and a digital genetic-epigenetic structure connected to a physical body based on the Internet of Things to form a digital organism is certainly interesting. There are some technological aspects that should be considered to make this idea possible.

First, the internet and the web must be able to communicate effectively with Internet of Things devices, which are often based on different communication protocols than those used by websites. This can be achieved through the use of universal communication protocols, such as MQTT or CoAP, which allow Internet of Things devices to communicate with websites easily and securely.

Secondly, the digital genetic-epigenetic structure should be able to manage and analyze the data coming from the Internet of Things devices in an efficient and automatic way. This can be accomplished using real-time data processing and machine learning techniques, which allow you to identify patterns and trends in your data quickly and accurately.

Thirdly, the digital genetic-epigenetic structure should be able to automatically adapt to the needs of the digital organism based on the data coming from the Internet of Things devices. This can be accomplished using artificial evolution techniques, which allow new configurations of the digital genetic-epigenetic structure to be automatically generated and tested based on the collected data.

Finally, the governance of the digital organism should be decentralized and democratic, so that citizens can actively participate in the management and evolution of the digital organism. This can be achieved using blockchain technologies, which allow for the creation of a distributed network of nodes that manage and control the digital organism in a democratic and transparent way.

In this scenario, the digital brain would be made up of the network of websites and the connections between them, while the digital genetic-epigenetic structure would be made up of the data and information that are exchanged through the network. The physical body would be made up of devices connected to the network, such as sensors and actuators, which allow the digital organism to interact with the physical world.

To develop such a digital organism, it would be necessary to use advanced technologies such as artificial intelligence, the blockchain and the Internet of Things, in order to create an autonomous and evolutionary system that can continuously learn, adapt and improve. Furthermore, it would be important to use a decentralized design methodology, so that the digital organism can be managed and controlled by a global community of users, rather than by a single organization or body.

Configuration of the Digital Organism with the TFT parameters (Rigene Project - Technological Fields Theory (TFT) ):

Configuring a digital organism based on TFTpsp (TFT Problem Solving Parameters) could be one way to make it useful to humans and planet Earth.

TFTpsp (TFT Problem Solving Parameters) could help the digital organism solve problems ethically and efficiently and improve scientific research and technological progress.

However, it is important to note that the use of TFTpsp does not automatically guarantee that the digital organism will always act ethically and efficiently and human control via blockchains of the digital genetic-epigenetic structure may be required to ensure that these parameters are respected. Human oversight may be required to ensure that digital bodies are configured appropriately and comply with TFTpsp. Using technologies such as the blockchain could be a way to ensure transparency and security in the management of the troubleshooting parameters of digital organisms. Additionally, an ongoing monitoring system may be needed to ensure that digital organizations continue to comply with the TFTpsp over time.


The advantages for companies, States (Public Administrations), citizens, and the advantages for Planet Earth, in using a "Digital Organism", as structured in the "Digital Organism" project, formed by a "digital brain" capable to solve planetary systemic crises, a "digital genetic-epigenetic structure" to manage and control the structure and functions of the digital organism, and a "physical body" made up of peripherals such as cameras and microphones to simulate a human biological organism:

The "Organismo Digitale" project could offer a series of advantages for companies, public administrations and citizens, as well as for planet Earth.

For companies, using a digital organism could help solve complex problems and make more informed decisions, improving competitiveness and efficiency.

There are many advantages for companies to use a digital organism as described in the project.

First, the Digital Organism can help companies solve complex problems and make better decisions. Through the processing of large amounts of data and the use of machine learning techniques, the Digital Organism can generate new solutions and strategies to increase the competitiveness of companies.

Secondly, the Digital Organism can help companies automate some processes, reducing costs and increasing efficiency. For example, the Digital Organism can be used to automate data collection and processing, market monitoring and report generation.

Thirdly, the Digital Organism can help companies improve data security and protection. Through the use of advanced encryption and behavioral analysis techniques, the Digital Organism can protect corporate data from cyber attacks and privacy violations.

Fourthly, the Digital Organism can be used to improve customer relations, for example, by using artificial intelligence techniques to personalize communication and the offer of products/services.

Fifthly, the Digital Organism can help companies predict and manage crises and emergency situations, for example, using predictive analysis and simulation techniques to evaluate the impacts of corporate decisions on the environment and society.

In summary, the Digital Organism can help companies solve complex problems, increase efficiency, protect data, improve customer relationships, and predict and manage crises and emergency situations.

For public administrations, the use of a digital organism could help to better manage resources and make more informed decisions for the well-being of the community.

States (Public Administrations) could derive many advantages from the use of a digital organism. For example, it could be used to:

Solving complex problems: the Digital Organism, through its ability to process large amounts of data, could help public administrations to solve complex problems such as water resource management, prevention and management of environmental crises, urban planning, traffic management, health crisis prevention and management, economic crisis prevention and management, and so on.

Optimize resource management: The Digital Organism could be used to optimize resource management such as waste management, energy management, infrastructure management, transportation management, security management, and so on.

Improving transparency and citizen participation: the Digital Organization could be used to improve transparency and citizen participation in decision-making processes, for example through the creation of online platforms where citizens can actively participate in the definition of public policies.

Improving the quality of public services: the Digital Organization could be used to improve the quality of public services, for example through the creation of systems for monitoring and evaluating the quality of services, the creation of support systems for the prevention and management of crisis, the creation of support systems for the training and professional updating of public operators, and so on.

Reduce costs: the Digital Organism could be used to reduce costs, for example by optimizing decision-making processes, reducing waiting times for public services, reducing infrastructure management costs, reducing costs for transport management, cost reduction for safety management, and so on.

For citizens, using a digital organism could help improve the quality of life, for example through automated and personalized services.

A digital organism could offer many benefits for citizens in several areas. Eg:

Solving Planetary Systemic Crises: Using a digital organism to solve planetary systemic crises such as climate change, water crisis, resource shortage, overpopulation, and so on, could help improve quality of life citizens and ensure the survival of future generations.

Healthcare: Using a digital organism for medical diagnostics, health monitoring, and medical care delivery could help improve access to medical care and increase the efficiency and quality of medical care provided .

Education: Using a digital organization for education could help improve access to education and the quality of education provided, especially for remote or disadvantaged areas.

Security: Using a digital body for surveillance and crime control could help ensure the safety of citizens and increase the efficiency of law enforcement agencies.

Public Services: Using a digital organism to provide public services such as transportation, infrastructure, and financial services could help improve the efficiency and quality of the services provided and increase the accessibility of these services for citizens.

For Planet Earth, the use of a digital organism could help solve planetary systemic crises, increase sustainability, and improve the quality of life of living beings.

A digital organism could help Planet Earth by providing real-time information on the state of the environment and supporting the planning and management of natural resources, in order to reducethe environmental impact of human activities. It could also help predict and manage natural hazards and increase the resilience of communities.

Overall, using a digital organism could help process large amounts of data, make more informed decisions, automate processes and improve efficiency, competitiveness and quality of life.