The World’s First Trans-AI Model for Narrow AI, ML, DL, and Human Intelligence: Innovating A Superintelligent Human-Machine General-Purpose Technology Platform

Azamat ABDOULLAEV [EIS Encyclopedic Intelligent Systems]

https://futurium.ec.europa.eu/en/user/10596

Introduction

Unlike any previous general-purpose technology, as the language or steam engine or electricity or nuclear energy or the internet, Artificial Intelligence (AI) is to radically transform our world, our society, our industry, and our future.

AI is set up to change how the world works, being the engine of digital revolution. The COVID-19 crisis has accelerated the need for human-machine digital intelligent platforms facilitating new knowledge, competences and workforce skills, advanced cognitive, scientific, technological, and engineering, social, and emotional skills.

In the AI and Robotics era, there is a high demand for the scientific knowledge, digital competence, and high-technology training in a range of innovative areas of exponential technologies, such as artificial intelligence, machine learning and robotics, data science and big data, cloud and edge computing, the Internet of Thing, 6G, cybersecurity and digital reality.

The combined value – to society and industry – of digital transformation across industries could be greater than $100 trillion over the next 10 years. “Combinatorial” effects of AI, ML, DL, Robotics with mobile, cloud, sensors, and analytics among others – are accelerating progress exponentially, but the full potential will not be achieved without collaboration between humans and machines.

Given all, a real-world, transdisciplinary AI paradigm shift is innovated to integrate mono- and inter-disciplinary AIs, symbolic/logical or statistic/data, as Machine Learning (ML) Algorithms (Deep Learning (DL), Artificial Neural Networks (ANNs)), aiming to augment or substitute biological intelligence or intelligent actions with machine intelligence.

The Trans-AI is to be developed as a Man-Machine Global AI (GAI) Platform to integrate Human Intelligence with Narrow AI, ML, DL, Human-level AI, and Superhuman AI. It relies on fundamental scientific world’s knowledge, cybernetics, computer science, mathematics, statistics, data science, computing ontologies, robotics, psychology, linguistics, semantics, and philosophy.

Since it is widely recognized that the lack of reality with causality is the “root cause” of development problems of current machine learning systems, the Trans-AI is designed as a Causal Machine Intelligence and Learning Platform, to be served as Artificial Intelligence for Everybody and Everything, AI4EE.

The Trans-AI technology could make the most disruptive general-purpose technology of the 21st Century, given an effective ecosystem of innovative business, government, policy-makers, NGOs, international organizations, civil society, academia, media and the arts. The Trans-AI Knowledge Graph covers ERC’s fields of research: Physical Sciences and Engineering (PE), Life Sciences (LS), and Social Sciences and Humanities (SH), as listed in the Supplement.

Innovating Man-Machine Superintelligence 2025: AI for Everything and Everyone (AI4EE)

In 2020, EIS Encyclopedic Intelligent Systems LTD has successfully completed its strategic R&D of the Transdisciplinary AI Model as a Real-World AI or a Causal Machine Intelligence and Learning, trademarked as Causal Artificial Superintelligence (CASI) GPT Platform complementing human intelligence, collective and individual.

The company has spent zero public funding and private investment for the outstanding discovery, which is set up to change the ways the world works, relying only on its own resources, intelligent and material.

EIS is to build/engineer the Real AI GPT Platform. We are welcome large public and private investors from the EU, the USA, China, Russia, and the UK and/or socially responsible big tech companies, to develop the Proof-of-Concept/Mechanism/Principle Prototype to demonstrate the CASI feasibility for a full-scale global deployment.

To estimate a prospective CASI investment, we could mention the business case of Microsoft, which is investing $1 billion in OpenAI to support it in building artificial general intelligence (AGI). https://openai.com/blog/microsoft/

As the POC/POM/POP demonstrating that a CASI design concept is feasible could serve USECS, the Catalogue of the World, classifying all the possible things, states, processes and relationships in reality, physical, mental, social, digital or virtual (1717 pages). 

The CASI's Global Knowledge Base presents the universal schema of the world as the hierarchical order of all things, creating the World Reference Framework (WRF) and Universal Standard Entity Classification System, USECS.

The universe of world entities is categorized as the Quadrivium of Substance, State, Change and Relationship. The USECS enables the United Global Encyclopedia, Dictionary and Thesaurus and the Unified Wisdom Science, as well as the Internet of Everything and Wise World Wide Web (WWWW). The New Wisdom Book provides the Total Catalog of the World, the Universal Directory of Entities, serving as the base for the classification systems in science, technology, and engineering, industry, commerce, and trade, like as used by Amazon and Alibaba.

https://eis-suo.tripod.com/USECS.pdf

The theoretical POC/POM/POP results are documented in the proprietary corporate White Book

Real AI Project Confidential Report

How to Engineer Man-Machine Superintelligence 2025: AI for Everything and Everyone (AI4EE)

The World=Reality > World Data > Human Intelligence > AI > ML > MI > Super-Intelligent AI > Minds > Man-Machine Super-Intelligence > General Purpose Intelligent Technology > I-World

Real AI and Global Data Strategy for Institutions, Governments and Corporations

Content

The World of Reality, Causality and Real AI: Exposing the great unknown unknowns

Transforming a World of Data into a World of Intelligence

WorldNet: World Data Reference System: Global Data Platform

Universal Data Typology: the Standard Data Framework

The World-Data modeling: the Universe of Entity Variables

Global AI & ML disruptive investment projects

USECS, Universal Standard Entity Classification SYSTEM:

[https://eis-suo.tripod.com/USECS.pdf, the Catalogue of the World]

The WORLD.Schema, World Entities Global REFERENCE

GLOBAL ENTITY SEARCH SYSTEM: GESS

References

Supplement I: AI/ML/DL/CS/DS Knowledge Base

Supplement II: I-World

Supplement III: International and National AI Strategies

WHITE PAPER | April 5, 2021 | EIS ENCYCLOPEDIC INTELLIGENCE SYSTEMS LTD

The First GLOBAL AI Company: EIS Encyclopedic Intelligent Systems ltd

The Trans-AI Technology Platform vs. the Narrow/Weak AI/ML/DL Applications

The Trans-AI General-Purpose Technology is an omnipresent and omniscient technology with virtually unlimited applications in all parts of human life.

As to its scale and scope, the trans-AI has most valuable advantages vs. the narrow/weal AI/ML/DL paradigm, which subject to a loose interpretation and misinterpretation, use or misuse.

 https://www.bbntimes.com/technology/advantages-and-disadvantages-of-artificial-intelligence-how-to-use-ai-in-your-business

Such inconsistencies come from the subjective, human-imitating definition of the mainstream AI, as “simulating the human intelligence processes in machines, as computing systems” or “the hardware and software mimicking human the functions of the human brain, mind, behaviour or reasoning to solve complex problems” (Cognitive Computing). 

“Artificial intelligence (AI) refers to systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals”.  

“Artificial intelligence (AI) refers to systems designed by humans that, given a complex goal, act in the physical or digital world by perceiving their environment, interpreting the collected structured or unstructured data, reasoning on the knowledge derived from this data and deciding the best action(s) to take (according to pre-defined parameters) to achieve the given goal. AI systems can also be designed to learn to adapt their behaviour by analysing how the environment is affected by their previous actions”. https://ec.europa.eu/futurium/en/system/files/ged/ai_hleg_definition_of…

“Artificial intelligence (AI) refers to systems that display intelligent behaviour by analysing their environment and taking actions – with some degree of autonomy – to achieve specific goals”.

https://digital-strategy.ec.europa.eu/en/library/communication-artificial-intelligence-europe

“AI system: An AI system is a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems are designed to operate with varying levels of autonomy”. https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0449

As a result, there are no real AI tools, libraries, and platforms in existence, be it Azure, Caffe, Tensorflow, Torch, IBM Watson, Keras, or the large-scale statistic language models, as Wu Dao 2.0 or OpenAI’s GPT-3.

https://www.bbntimes.com/science/wu-dao-2-0-why-china-is-leading-the-artificial-intelligence-race

This all is about advanced data analytics, predictive models, statistic learning, computational statistics, and automation software, hyped as “AI, ML, or DL”.

Again, today's AI, in fact, is a non-real AI, not any real-world AI. At the very best, it is a sort of automatic learning technologies, ML/DL/NN pattern-recognizers, which are essentially mathematical and statistical in nature, unable to act intuitively or model their environment, being with ZERO intelligence, NIL real learning, and NO understanding.

Overall, there are a wide number of conceptions of machine intelligence, as sampled below:

1. "Understanding of the world, ability to interact with the world, and self-awareness".

2. “There are degrees, or levels, of intelligence, and these are determined by: 1) the computational power of the system’s brain (or computer), 2) the sophistication of the algorithms the system uses for sensory processing, world modelling, behaviour generating, value judgement, and global communication, and 3) the information and values the system and stored in its memory.”

3. "Intelligence measures an agent’s ability to achieve goals in a wide range of environments" or the “the capacity to realize complex goals”.

Most of them are aligned with the today’s narrow and weak AI/ML/DL, strong AI or AGI, and superhuman AI, marked by implicit anthropocentric and anthropomorphistic conceptions, ethical issues, and the pursuit of human-like intelligence as the golden standard for AI. Such a human-centered paradigm involves practically unsolvable social, economic, political, environmental, technological, cultural, military, ethical, or moral issues.

Most concerns are caused by LAWs (lethal autonomous weapon systems, autonomous weapon systems, robotic weapons, killer robots or slaughterbots) and ethical problems of the mainstream AI/ML/DL applications, software, programs, algorithms, and hardware machines, devices, and technology platforms.  

The mainstream AI/ML/DL is missing the complexity, versatility, and wholeness of real intelligence, coming from its effective interactions, understanding, learning, or computing the world itself, the world of reality, physicality, and mentality as being reflected, modelled, or simulated with all its structures, phenomena, mechanisms, and forms in the mixed, cyber-physical digital reality.

The Trans-AI man-machine technology platform is designed to to organize and transform the world's data/information into the world’s knowledge making it universally accessible and useful (cf. Google’s with mission, “to organize the world's information and make it universally accessible and useful”, https://www.google.com/search/howsearchworks/mission/). 

It is to govern both the cloud Narrow AI platforms and the ML/DL/AI-based systems as purely software-based, acting in the virtual world (e.g. voice assistants, image analysis software, search engines, speech and face recognition systems) or embedded in hardware devices (e.g. autonomous spacecrafts, advanced robots, autonomous transportation, drones or Internet of Things applications).

The Real-World AI Paradigm and its Disruptive Impact

As far as our rate of technological advancement increases exponentially or even explosively, the 70-years-old AI/ML/DL conception needs its paradigm shift, a major change in its philosophy, concepts, and practices of how AI works or is accomplished. Paradigms are important both for humans and machines because they define how intelligent agents perceive reality and how they behave within it.

We have to found all our study and practice on the solid scientific definition:

“AI is the master computing algorithm, code or program that learns, understands, reasons and effectively interacts with any environments, physical, mental, social, digital, or virtual”.

A paradigm shift results after the accumulation of anomalies or evidence, as inconsistent advantages and disadvantages, that challenges the status quo, or due to some revolutionary innovation or discovery.

The paradigm shift implies a major change in how people think and get things done, upending and replacing the prior paradigms, as of symbolic AI or statistic ML.

The AI paradigm shift consists in the disruptive idea of Transdisciplinary Human-Machine Intelligence [Superintelligence/Supermind] implying the Deep Causal AI as a Real-World AI model for Narrow AI, ML, DL and Human Intelligence.

The Trans-AI internet will be disruptively groundbreaking, creating a paradigm shift in how people live, think, work, study, and play and get their information, communicate, and shop. The first I-commerce companies to capitalize on this new paradigm will thrive, living many internet firms as well as the big tech companies, as Amazon, Apple, Google, Facebook, Microsoft, went out of business.

For those who occupy the established paradigm are traditionally reluctant, or even hostile, toward contradictory theories or evidence that challenge their worldview or practices.

Besides, the Trans-AI paradigm shift is a radical change in the perception of how things should be thought about, done, or made. It can require educational programs to be reviewed, national AI strategies to be recalled, entire institutions, companies and departments to be upgraded or created. 

In the end, the man-machine superintelligence digital platforms need to be deployed while the old cloud ML/DL/AI/Data Analytics platforms and social media networks applications with their internet search engines are to be disrupted or renovated, as listed below:

Top 10 Social Networking Sites by Market Share Statistics [2021]

  • Facebook – 2.74 Billion Active Users.
  • YouTube – 2.291 Billion Active Users.
  • WhatsApp – 2.0 Billion Active Users.
  • Facebook Messenger – 1.3 Billion Active Users.
  • Instagram – 1.221 Billion Active Users.
  • Weixin/WeChat – 1.213 Billion Active Users.

https://www.linkedin.com/pulse/trans-ai-eat-world-azamat-abdoullaev/?published=t

Will Artificial Superintelligence (ASI) Create Infinite Economic Growth or More Inequality?

Conclusion

Unlike the steam engine or electricity in the past, the trans-AI is to constructively disrupt our world, our society, and our industry. Exponential growth in computing power, digital data and progress in data analytics, ML, DL computing algorithms could turn the real-world AI into the most strategic general-purpose technologies of the 21st century. Amid fierce narrow/weak AI global competition, a solid, sustainable, robust, real-world AI framework is originated.

“The stakes could not be higher. The way we approach AI will define the world we live in” [Communication Artificial Intelligence for Europe: Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe].

Sources

Engineering Human-Machine Superintelligence by 2025: AI for Everything and Everyone (AI4EE)

WHITE PAPER | January 17, 2021 | EIS ENCYCLOPEDIC INTELLIGENCE SYSTEMS LTD

EIS has Created the First Trans-AI Model for Narrow AI, ML, DL, and Human Intelligence

https://futurium.ec.europa.eu/en/european-ai-alliance/posts/eis-has-created-first-trans-ai-model-narrow-ai-ml-dl-and-human-intelligence?fbclid=IwAR345O-tQt12kE_5g0m6eGJ6Fnmqn5sZCqe5ehhfJXfCAXlPOuIivJw6plE

Man-Machine Superintelligence Paradigm Shift: Trans-AI, Deep AI, or Real-World AI, as an integral Trustworthy AI Model

https://futurium.ec.europa.eu/en/european-ai-alliance/posts/man-machine…

https://futurium.ec.europa.eu/en/user/10596

A European approach to artificial intelligence

https://digital-strategy.ec.europa.eu/en/policies/european-approach-artificial-intelligence

Communication Artificial Intelligence for Europe

Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and the Committee of the Regions on Artificial Intelligence for Europe.

https://digital-strategy.ec.europa.eu/en/library/communication-artificial-intelligence-europe

SUPPLEMENT

Global AI Academy: AI4EE

Specifically, the GAIA is to advance the highly-innovative socio-technological agenda:

Global AI Academy: AI4EE

https://www.linkedin.com/pulse/global-ai-academy-sota-learning-excellence-centres-azamat-abdoullaev/?published=t