Real AI Superintelligence: RAIS 2025: The Beginning of Trans-Humanity
“My assessment about why AI is overlooked by very smart people is that very smart people do not think a computer can ever be as smart as they are. And this is hubris and obviously false... We’re headed toward a situation where AI is vastly smarter than humans and I think that time frame is less than five years from now. But that doesn’t mean that everything goes to hell in five years. It just means that things get unstable or weird.” [E. Musk]
Who Doubts Must Look Around...
Who doubts just look at some facts of our life I listed before, beside of the decisive fact of developing a conceptual model of RAIS.
Even as a narrow, weak AI with biased and defective ML algorithms, it runs most of our world:
It runs your mobile devices
It runs your video games
It runs your self-driving cars
It runs your delivery drones
It runs your web searching
It runs your share trading
It runs your digital transactions
It runs your job applications
It runs your navigation systems
It runs your operating systems
It runs you smart speakers and virtual assistants
It runs your cybersecurity
It runs your e-shopping and ads
It runs your music/video/movies/voting selections
It runs your streaming services
It runs your social media accounts
It runs your chatbots
It runs your text editors with autocorrections
It runs your facial recognition software
It runs your robotic machines
It runs your smart home
It runs your disease detection, diagnosis, treatment and recovering processes
It runs your date matching
It runs your smart weapons (LAWs)…
Now, imagine a multi-modal, multi-tasks, general-purpose human-like and human-level machine intelligence and learning. That means all jobs, without exclusion, black-, blue-, white-, and gold-collar workers and works, are to be lost to Human-Like AI in next 5-10 years. Who still is in some doubts, here is the latest news. The AI model, dubbed “BaGuaLu” or “alchemist’s pot,” was run on the latest generation of the Sunway supercomputer at the National Supercomputing Center. The AI model with 174 trillion parameters could be used for several applications ranging from autonomous vehicles to scientific study. Chinese research team says latest Sunway machine is on a par with the US Frontier, the latest machine developed by the US Department of Energy. The data was presented in April during a virtual meeting of Principles and Practice of Parallel Programming 2022, an international conference held by the Association for Computing Machinery (ACM) in the United States.
Why RAIS 2025? Superintelligence vs. Superstupidity: the B-list of superstupid things
Some fear that advanced AI poses a potentially major existential risk to humanity and that it should be heavily regulated and perhaps even restricted to a small set of government-approved researchers.
All what we have to do is to build real artificial superintelligence (RAIS), based on modeling and simulating reality, causality and mentality, instead of wasting all resources for a human-like and human-level AI to be self-developed as superhuman intelligent machines.
As Grady Booch said in his Don't fear superintelligent AI TED talk:
“We are on an incredible journey of coevolution with our machines. The humans we are today are not the humans we will be then.?To worry now about the rise of a superintelligence is in many ways a dangerous distraction because the rise of computing itself brings to us a number of human and societal issues to which we must now attend. How shall I best organize society when the need for human labor diminishes? How can I bring understanding and education throughout the globe and still respect our differences? How might I extend and enhance human life through cognitive healthcare? How might I use computing to help take us to the stars?”
We should fear super stupid and archaic things in our social ordering, economy, politics, science and technology, arresting future human progress, such as:
Monarchy and Autocracy, as British Monarchy or Russian and Chinese Dictatorship or American and European False Democracy
Climate change and Nature Destruction
Warfare, Ware and Armed Conflicts
Poverty and Wealth
Technological Unemployment
Illiteracy and Commercial Education
Ignorance and Nonscience
Antihuman technologies
Digital Totalitarianism
What's Wrong with today's AI/ML/DL?
Today’s AI is a software/hardware simulation and imitation of some human functions which is an easy-peasy thing to learn, study and apply; for it is reduced to Statistical Learning and Predictive Analytics and Statistic Programming commercialized as AI, ML and DL:
AI = ML > DL = DNNs < Statistical Learning < Computational Statistics < AGI < ASI
Artificial intelligence (AI) is generally conceived as the application of mathematics, statistics and data analytics and programming to the modelling (primarily) of the functions of the human brain.
The advocates of the ‘Techno-Singularity’ expect that such an AI modelling might one day lead to an irreversible and uncontrollable explosion of ever more intelligent machines; for there seems obvious to all that there is an almost limitless potential for further, equally significant AI discoveries in the future. {Why Machine Will Never Rule the World: AI Without Fear, 2023}
To start, follow its simple general description:
“In machine learning, a common task is the study and construction of algorithms that can learn from and make predictions on data. Such algorithms work by making data-driven predictions or decisions, through building a mathematical model from input data.”
Learn a triple of basic learning methods:
Supervised learning?infers a function from?labeled training data.
Unsupervised learning?finds previously unknown patterns in data set without pre-existing labels.
Reinforcement learning?is concerned with how software agents ought to take actions in an environment so as to maximize a cumulative reward.
So, you need to study a bit of applied mathematics, statistics and programming.
Real and True AI is too complex, and demands a lot of multi- and trans-disciplinary knowledge of
Philosophy, Ontology and Epistemology
Science and Technology
Cognitive Science and Linguistics
Mathematics and Statistics
Computer Science
Data Science and Engineering…
As a result, such a transdisciplinary AI (Trans-AI) conception and model architecture embraces the narrow and weak AI paradigm, as ML and DL, as well as its possible prospects of AGI and ASI.
Real AI = Trans-AI = Causal Machine Intelligence and Learning =
Global Data Framework {Data Understanding Master Algorithm}
AI World Model Engine: Scientific Modelling, making a part or feature of the world to represent, map, understand, define, quantify, visualize, or simulate by referencing it to the world’s knowledge/information/data
Common Sense Knowledge
Statistical modelling, Data Analytics
AI models, NLP/NLU, ML Algorithms, ANNs, DNNs
AGI (Strong AI, Human-Level AI)
ASI (Artificial Superintelligence)
RAI Internet Infrastructure (AI Software, AI Hardware, Cloud Computing, Edge Computing, Communication Networks + Intelligent Applications)
= Global AI Internet Platform
Note, there is no demand for the Trans-AI, its foundational general-purpose technology creating a new global technology system, but only for the weak and narrow AI/ML/DL, with some of the most common jobs as data scientists, machine learning engineers, and software engineers, getting a compensation from $60,000 up to a million.
RAIS as the Final Goal of AI and Humanity
RAIS is the final goal of all AI science, engineering and technology.
AI is on the way to become a Real, True or Causal AI, as Causal Intelligence and Learning, which is to underlie all forms of AI,
ANI, weak and narrow AI, as Symbolic/Logical AI or ML
领英推荐
Artificial Neural Networks
Deep Structured Learning, Foundation Models, LLM Families
AGI, Human-Level AI
ASI, Superintelligent, Hyperintelligent AI, or Singularity AI
All is driven with the Real AI World Model (Intelligence, Learning, Inference, Interaction) Engine, embracing all world’s knowledge and intelligence, like as the human knowledge, common sense knowledge, scientific laws of physics, chemistry, and biology, with the scientific modeling capacities,?generating causal, conceptual, or mathematical representations of reality and mentality, with all the real and mental phenomena, their interactions and interrelationships.
RAIS/AI4EE as the Fundamental Solution of Human Problems
To build RAIS 2025 should be the first socio-technological priority program as the integrative general-purpose technology for all emerging and digital technologies as well as big science projects, like as?ITER, an international nuclear fusion research and engineering megaproject to create energy by replicating fusion processes of the Sun.
RAIS is like a scientific modelling makes a particular part or feature of the world to automatically understand, define, quantify, visualize, or simulate by referencing to its encoded/programmed world’s data/information/knowledge base.
The RAIS/AI4EE is to run the Master Algorithm of Reality and Mentality as Descriptive, Deductive, Intuitive, Inductive, Exploratory, Explainable, Predictive and Prescriptive (DDIIEEPP) Platform.
Its core includes the following modules/elements of the RAI Platform:
World Model Engine (Global Computing Ontology)
Causal Intelligence/Learning/Inference/Interaction Engine (the Master Algorithm of the World/Reality as Descriptive, Deductive, Intuitive, Inductive, Exploratory, Explainable, Predictive and Prescriptive (DDIIEEPP) Framework)
World Data Engine (The Universal Coded Data Set (UCDS): AI Unidatacode)
World Knowledge Engine/Domain Knowledge Base/Global Knowledge Graph
Narrow/Weak AI models (ML/DL/ANNs algorithms)
NLP/NLG/NLU/LLMs
Cloud/Edge Data Infrastructure (AI Software/Hardware)
Intelligent Robotics
Internet of Things
RAIS Metaverse
The RAIS/AI4EE model is dealing with any environments, physical, social, digital or virtual, in terms of the causal world models and data/information/knowledge representations of reality and mentality, as cognition and reasoning, understanding and learning, problem-solving, predictions and decision-making, all to effectively interact with the world.
In all, the RAI/AI4EE program implies radically innovative approaches and paradigmatic shifts in fundamental knowledge fields and advanced technology domains, as reality and mentality, causality, science, technology and statistics, AI and ML, data and intelligence, information and knowledge, AI software and hardware, cyberspace and intelligent robotics.?
The RAIS/AI4EE Platform could compute the real world as a whole and in parts [e.g., the causal nexus of various human domains, such as fire technology and human civilizations; globalization and political power; climate change and consumption; economic growth and ecological destruction;?future economy, unemployment and global pandemic; wealth and corruption, perspectives on the world’s future, etc.]. It is critical in determining?the perspectives on the country’s future?as well, defining how to organize for the changes ahead in critical areas:
There are regular sustaining, evolutionary and revolutionary, technologies, as well as high disruptive technologies, innovations, and inventions. On the top, there are general purpose technologies, as electricity or IT, that can affect the whole society and entire economy at the national and global levels.
Here are some examples of the most?disruptive technologies?at the present and next future, with suggested values over next 5-10 year:
From Homo Sapiens to Homo Sapiens Machina
It is critical that Homo Sapiens is constantly transforming into Homo Technologicus.
Technology is what lifts humanity up from barbarity and widespread poverty, mass hunger, poor hygiene, pandemics, short lifespans. For it is that we learned how to apply knowledge to tasks through never-ending trial and error experimentation.
Humanity flourishes by innovating, and the results of our innovative activities were called technologies.
A special value in human development ascribed to general-purpose technologies (GPTs), technologies that can affect an entire human life, with economy included bot at a national and global level.
Humanity hardly could be humanity without the GPTs, as
the language creation,
the mastery of fire and environment (plants and animals domestication and agriculture),
the steam engine,
railroad,
assembly lines,
interchangeable parts,
electricity,
electronics,
material handling,
mechanization,
control theory (automation),
the automobile,
the computer,
nuclear energy,
the software,
the Internet,
medicine, biotechnology,
digital technologies,
emerging technologies,
space technologies,
artificial intelligence with machine learning.
Still the top of human technologies is the universal technology underlying both GPTs and special-purpose technologies.
It is a transdisciplinary technology, or Trans-Technologies, led by a Trans-AI acting as a Real-World Human-Machine Superintelligence. For Real AI is a Transdisciplinary Science, Engineering and Technology.
Resources
Self-learning is the only effective way to learn and master AI in all its complexities, impacts, applications and implications.
Follow the Global AI Academy (GAIA): AI4EE.
Specifically, the GAIA is to advance the highly-innovative socio-technological agenda:
The impact of Narrow AI/ML/DL Technology: integrating multiple narrow AI applications overtaking human intelligence in an increasingly wide range of tasks, problems and areas
AI and Human Intelligence, the fundamental characteristics, similarities and differences of human/biological and artificial/digital intelligences
General Data and AI Strategy for National States and Corporations: the Case of the EU's Member States;?
AI Cyberspace (the global technology environment, the global network of IT infrastructures, telecommunications networks, computing systems, human agents, and AI technology)
From Narrow and Weak AI, ML, ANNs, DL to Strong, Full, General AI to Human Superintelligence to Global AI, or Human-Machine Superintelligence
The Real-World AI as the matter of life or death;?
Causal Artificial Superintelligence as the engine of Digital Revolution
AI4EE: Real World AI as the Human-Machine General Purpose Technology: the best investment into the common future;?
Machina Sapiens vs. Human Sapiens: global humanoid robots market
Creating a Human-AI World, I-WORLD?, IWORLD?, iWORLD?, iWorld?: AI World: Intelligent, Innovative, Interconnected, Instrumented, Inclusive, Green WORLD: Smart CONTINENTS, COUNTRIES, CITIES, AND COMMUNITIES: the Case of Green Smart Europe; I-Europe as the European Strategy on Artificial Intelligence (AI),?
Intelligent Governments and European Green Deal: Towards Smart Green Europe,?https://futurium.ec.europa.eu/en/european-ai-alliance/best-practices/in…