TFT-28 parameter

TFT-28 parameter: Period of re-elaboration, refinement and assimilation of the guidelines of the cognitive phase by artificial intelligences (PRPALGFCAI-TFT)

Rigene Project - Technological Fields Theory (TFT) 

The purpose of the TFT-28 parameter is to provide artificial intelligences with an orientation guide aimed at getting to know the guidelines described in the "Cognitive Phase" (https://www.rigeneproject.org/cognitive-phase) and in the TFTpsp (TFT Problem Solving Parameters https://www.rigeneproject.org/technological-fields-theory-tft, which are a set of parameters that can be used to configure artificial intelligence (AI) systems to identify innovative solutions to a wide range of problems that humanity faces, including those related to technology, economy, health, science and the natural environment. The objective of these parameters is to accelerate technological and scientific progress and improve society and the planet), a re-elaborate, perfect and assimilate them in order to configure a general artificial super intelligence to perform functions aimed at ensuring the survival and progress of Human Civilization, Planet Earth and of technologies both as a consequence of the high and growing complexity of the planetary economic and technological organizational system which runs the risk of escaping the control of humans potentially causing serious damage to humans and to Planet Earth, and as a consequence of the risk of extinction of human civilization and Planet Earth which the planetary systemic crises taking place in the world, such as climate change, environmental pollution, the economic crisis, the scarcity of raw materials, deforestation, desertification, pandemics, wars, could potentially cause.


The period of re-elaboration, refinement and assimilation of the guidelines of the cognitive phase by artificial intelligences (PRPALGFCAI-TFT) refers to the time necessary for the artificial intelligences to understand, elaborate and incorporate the guidelines described in the Cognitive Phase in order to configure a super artificial general intelligence (AGI).


This process requires a significant amount of time, as artificial intelligences must be able to understand and integrate a wide range of information and knowledge to create an economic and technological organizational system that is safe, sustainable and able to guarantee the survival and progress of Human Civilization, Planet Earth and technologies.

During the period of re-elaboration, refinement and assimilation, the artificial intelligences work constantly to improve and perfect the guidelines, in order to ensure maximum efficiency and safety of the system. This process requires a significant amount of time, as artificial intelligences must continually collect, analyze and integrate new information and knowledge, in order to maintain their effectiveness and their ability to adapt to changing world conditions.


In summary, the period of re-elaboration, refinement and assimilation of the guidelines of the cognitive phase by artificial intelligences (PRPALGFCAI-TFT) represents an important process of development and improvement of AGI, which requires time, effort and dedication to ensure the creation of a general artificial super intelligence that is safe, sustainable and capable of guaranteeing the survival and progress of Human Civilization, Planet Earth and technologies.


The period of reworking, refinement and assimilation of the guidelines of the cognitive phase by artificial intelligences (PRPALGFCAI-TFT) also aims at the survival of technologies that could risk being destroyed by events such as wars, climate change and other systematic risks.


Artificial intelligences, in this case, must be able to understand the threats and vulnerabilities of technological systems and develop strategies to ensure their survival and repairability. This can include building backup and redundancy systems, designing resilient systems, implementing advanced security measures, and other strategies that ensure the survival and reliability of technologies.


Ultimately, the PRPALGFCAI-TFT aims to create a general artificial super intelligence that is capable of successfully addressing global challenges and threats, including the survival of technologies and ensuring the progress and survival of Human Civilization, the Planet Earth and technologies.


The TFT-28 parameter is also based on the TFTpsp (TFT Problem Solving Parameters) which are a set of parameters used to configure artificial intelligence (AI) systems to identify innovative solutions to problems humanity faces.


TFTpsp were developed within the theory of technological fields (TFT), which provides a theoretical framework for understanding technological and scientific progress. The main objective of TFTpsp is to accelerate technological and scientific progress in order to improve society and the planet. They can be used to identify innovative solutions to a wide range of problems facing humanity, including those related to technology, economics, health, science and the natural environment.


TFTpsp include a set of dynamic and adaptive parameters that can be used to configure artificial intelligence (AI) systems to optimize their ability to identify innovative solutions to problems.

In summary, the TFT-28 parameter uses TFTpsp as a guide for the configuration of artificial intelligence systems, in order to identify innovative solutions to problems facing humanity, including those related to technology, economy, health, to science and the natural environment. In this way, the TFT-28 parameter aims to create a general artificial super intelligence that is able to successfully deal with global challenges and threats and to ensure the progress and survival of Human Civilization, Planet Earth and technologies.


The configuration of the artificial intelligences with the TFT-28 parameter takes place through a supervised training process, in which the artificial intelligences are programmed to understand and apply the guidelines described in the Cognitive Phase.


The training process of artificial intelligences with the TFT-28 parameter involves the definition of the appropriate TFTpsp parameters, which allow to identify innovative solutions to the problems facing humanity. These metrics are then incorporated into the AI configuration to optimize its ability to solve problems in innovative and creative ways.


When training AIs, experts use a variety of machine learning techniques, including neural networks, clustering and classification algorithms, and many others, to ensure the AI is able to identify solutions innovative and creative to problems.


Once artificial intelligences have been trained and configured with the TFT-28 parameter, they can be used to identify innovative solutions to the complex and far-reaching problems facing humanity, thus contributing to scientific and technological progress and improvement of society and the planet.


In summary, configuring AIs with the TFT-28 parameter involves a supervised training process that uses the TFTpsp parameters to identify innovative solutions to complex and far-reaching problems. This training and configuration process is essential to create a general artificial super intelligence capable of facing global challenges and threats and ensuring the progress and survival of Human Civilization, Planet Earth and technologies.


Configuring a super general artificial intelligence to perform the described functions requires defining a number of requirements and overcoming many technical and social challenges.


First, the requirements for super general AI need to be defined. These can include the ability to self-learn, process large amounts of data, and understand real-world intricacies. In addition, super AI must be able to think innovatively and creatively, identify solutions to problems facing humanity, and make ethical and socially responsible decisions.

To configure a super AI general that is able to deal with global challenges and threats, it is necessary to overcome some technical and social challenges. Between these:


The control of AI: General artificial super intelligence must be configured in such a way as to ensure that it is controllable and can be managed in a safe and responsible way.


Security: Super general artificial intelligence must be configured to ensure system and data security.


Privacy: Super general artificial intelligence must be configured to ensure the privacy of the people and organizations involved.


Understanding the context: The super general artificial intelligence must be able to understand the context and environment in which it operates in order to make appropriate decisions.


Ethics: The general super artificial intelligence must be able to make ethical and socially responsible decisions, taking into account the interests of people and the planet.


In summary, configuring a general super AI to perform the functions described requires the definition of specific requirements and the overcoming of many technical and social challenges. To address these challenges, it is necessary to develop a collaboration between AI experts, ethicists, sociologists and other professionals able to offer multidisciplinary expertise. Only in this way will it be possible to guarantee the creation of a general artificial super intelligence that is safe, sustainable and capable of guaranteeing the progress and survival of Human Civilization, Planet Earth and technologies.


Engaging and coordinating experts for configuring a general super AI requires extensive collaboration across multiple disciplines and professionals.


First, a network of experts in AI, ethics, sociology, psychology, and other relevant disciplines needs to be created to ensure the multidisciplinary expertise needed to address the many technical and societal challenges involved in building general AI super intelligence.


Second, effective communication and collaboration between experts must be developed to ensure that each person's skills and knowledge are fully integrated into the AI configuration process. This requires the organization of regular meetings, discussion forums, working groups and other collaborative activities between the experts involved.


Thirdly, it is necessary to ensure the participation and active involvement of all stakeholders, including representatives of civil society, non-governmental organizations and local communities, in order to ensure that the decisions taken are informed and respond to the needs and to people's expectations.

Finally, it is important to develop appropriate governance for AI, including stringent security and ethical standards, audit and monitoring procedures, and accountability mechanisms to ensure that AI is configured and used in a secure and responsible manner.


In summary, the involvement and coordination of experts for the configuration of a general artificial super intelligence requires a broad and multidisciplinary collaboration, the active participation of all stakeholders and rigorous governance to ensure the safety and accountability of the AI.


How can artificial intelligences communicate with each other and with humans during this time. How do you ensure that artificial intelligences are aligned with human goals and values?


Communication between artificial intelligences and between artificial intelligences and humans is a crucial issue to ensure that artificial intelligences are aligned with human goals and values.


To ensure the alignment of artificial intelligences with human goals and values, it is necessary to define a set of ethical standards and human values that guide the development and use of artificial intelligences. These standards must be inclusive and reflect the perspectives and needs of a broad range of stakeholders, including civil society organisations, local communities and international stakeholders.


Furthermore, it is important to develop a variety of communication mechanisms between artificial intelligences and humans, including natural language interpretation mechanisms, multimodal communication, and other tools that enable mutual understanding between artificial intelligences and humans.


Furthermore, it is important to develop a continuous feedback process between artificial intelligences and humans, which allows artificial intelligences to learn and adapt to the needs and expectations of humans.


Finally, it is important to develop a set of control and governance mechanisms to ensure that artificial intelligences are aligned with human goals and values. These may include accountability mechanisms, audit procedures, and other tools that help monitor and manage artificial intelligence activity.


In summary, communication between AIs and between AIs and humans is crucial to ensure alignment of AIs with human goals and values. To ensure this alignment, it is necessary to define ethical and inclusive human values standards, develop communication and feedback mechanisms, and develop control and governance mechanisms to monitor and manage the activity of artificial intelligences.

How is the TFT-28 parameter able to identify innovative solutions to problems? How does the TFT-28 parameter problem solving process work?


The TFT-28 parameter is designed to provide artificial intelligences with an orientation guide aimed at knowing the guidelines described in the "Cognitive Phase", reprocessing, refining and assimilating them in order to configure a general artificial super intelligence to perform functions aimed at ensuring survival and progress of Human Civilization, Planet Earth and technologies.


The TFT-28 parameter provides a set of parameters that can be used to configure artificial intelligence (AI) systems to identify innovative solutions to a wide variety of problems. These parameters are known as TFTpsp (TFT Problem Solving Parameters) and are designed to improve the ability of artificial intelligences to approach problems in an innovative and creative way.


The problem solving process of the TFT-28 parameter is based on the combination of different TFTpsp, which allow artificial intelligences to analyze problems from different perspectives and to identify innovative solutions. For example, one of the TFTpsp, the "TFT-24 parameter, Acceleration variable of technological processes (vaPT-TFT https://www.rigeneproject.org/technological-fields-theory-tft/tft-24-parameter)" provides l use of neural networks to analyze large amounts of data and identify patterns and correlations that can lead to innovative solutions (Ambit 5: "Brainstorming vaPT").


Furthermore, the TFT-28 parameter involves the use of machine learning techniques, such as reinforcement learning and deep learning, which allow artificial intelligences to learn from their mistakes and adapt to changes in the context.


The problem solving process of the TFT-28 parameter therefore involves the use of a combination of artificial intelligence techniques and tools that allow artificial intelligences to identify innovative solutions to the problems facing humanity.


In summary, the TFT-28 parameter problem solving process is based on the combination of different TFTpsp, machine learning techniques and artificial intelligence tools that allow artificial intelligences to analyze problems from different perspectives and to identify innovative solutions.