Real AGI Machines (RAGIM) = Interaction/Causality Engine (ICE) + Generative AI (GenAI) +LMLMs...

As an engine is the heart of physical machines, an interaction/causality engine is the mind/brain of intelligent machines, following the development algorithm of real artificial general intelligence (RAGI):

RAGIM = Real AI = AGI = Real/Causal AGI Machines = the World Modeling and Reality Simulating Machine [Interaction/Causality Engines] +

Software/Hardware Information Tools [ AI chips + Symbolic AI + Predictive AI + GenAI + LLMs + LMLMs + Knowledge Graphs + Digital Twins + Robotics]

If your machines are missing the Interaction/Causality Engines, they are simply information machines or data processing tools or advanced software systems.

Specifically, symbolic AI, predictive AI, gen AI, or large multimodal language models (LMLMs) are simply advanced statistical learning machines, software/hardware information tools, or quasi-AI, fake AI or false AI.

The examples of the quasi-AI models are OpenAI's?GPT?series of models,?GPT-3.5?and?GPT-4, ChatGPT?and?Microsoft Copilot,?Google's?PaLM?and?Gemini,?xAI's?Grok,?Meta's?LLaMA?family of open-source models,?Anthropic's?Claude?models,?Mistral AI's?open source?models,?Databricks' open source?DBRX...

Here is a simple universal criterion (iron law) of intelligence: "something/somebody is rational or intelligent, a human, animal or machine, IFF IT KNOWS WHAT IT IS DOING.

Otherwise, it is simply advanced software/hardware tools, widely misrepresented as "Artificial intelligence , or AI, technology that enables computers and machines to simulate human intelligence and problem-solving capabilities".

Without understanding the cause and effect of interactions within the world, there is no True Learning and Intelligence or Understanding, or Autonomous Machine Intelligence, as Real AI or AGI, with various models and applications.

Interaction/Causality pervades all and everything, as the engine of the world, at all possible levels and scales, from the quantum microworld to the macroworld to the whole universe.

The same eights systems of Earth (atmosphere, hydrosphere, cryosphere, geosphere, pedosphere, lithosphere, biosphere, and the magnetosphere) interact and feedback through material and energy fluxes, between the Earth's sub-systems' cycles, processes and "spheres", to produce the environments we are familiar with.

Building Causal AI/AGI Machines

AA/AI Rule: "Without understanding the cause and effect of interactions within the world, no software or hardware, computers, AI models, ML algorithms, DL techniques, robotic agents, programming applications, language machines, digital technologies, or ICT tools are rational or intelligent", be it:

Natural language generation converting structured data into the native language

Speech recognition converting human speech into a useful and understandable format by computers

Virtual agents, computer applications that interact with humans to answer their queries, from Google Assistant to the IMB Watson

Biometrics, AI-powered facial recognition systems. fingerprint/iris/gait/speech/emotion/behavior recognition

Decision management systems for data conversion and interpretation into predictive models

Machine learning empowering machine to make sense from data sets without being actually programmed, to make informed decisions with data analytics and statistical models

Robotic process automation configuring a robot (software application) to interpret, communicate and analyze data

Peer-to-peer network connecting between different systems and computers for data sharing without the data transmitting via server

Deep learning platforms based on ANNs teaching computers and machines to learn by example just the way humans do

Artificial neural networks of various structures and topologies

Generative AI tools, as LLMs, GPT-4, ChatGPT, AlphaCode, GitHub Copilot, Bard, Cohere Generate, Claude, Synthesia

AI optimized hardware support AI models, as neural networks, deep learning, and computer vision, including CPUs, GPUs, TPUs, OPUs to handle scalable workloads, special purpose built-in silicon for neural networks, neuromorphic chips, etc.

Robotic machines and autonomous vehicles, humanoid robots

ICT, the internet, internet of things, metaverse, virtual reality and social media, cloud computing services, video conferencing and collaboration tools, unified communications systems, mobile communication networks, etc.

Again, "if generative AI and LLMs are to be transformed as true AGI, then a comprehensive rational world model is what that information tools or robotic machines or software agents need for real intelligence and true understanding, as of their identities and actions".

Or, bringing together computer programming and world modeling/reality simulating , not simply logical symbolic systems, mathematics, statistics, linguistics, training data, or mental models, is the only rational way to produce real AI or AGI:

AI = AGI = Real/Causal AGI Machines = the World Modeling and Reality Simulating Machine [Interaction/Causality Engines] +

Software/Hardware Information Tools [ AI chips + Symbolic AI + Predictive AI + GenAI + LLMs + LMLOMs + Knowledge Graphs + Digital Twins]

Causality Engines as Causality Software/Hardware Engines are the Reality AI Mechanism of the World Modeling Machine.

Causality Engines are causal machines transforming, translating or converting matter, energy or information, as material, forces, movement or data, into new forms of matter, energy or information, for changes and actions, interactions or effects, prescriptions or predictions.

"Causal AI is an artificial intelligence system that can explain the cause and the effect. You can use casual AI to interpret the solution given the AI Machine learning model and the algorithm. In different verticals, casual AI can help explain the decision making and the causes for a decision".

Why is a causality engine superior to a ML/AI engine?

Causality Software/Hardware Engine is an AGI technology platform that learns, understands, infers and interacts with the world based on reality simulation and causation of matter/energy/data input, not on statistical patterns and correlations.

It evaluates all the possible variables in a system, process or data—from trades, sales and marketing to human resources, from innovative R & D to digital twins—and finds causal patterns, insightful relationships, objective regularities. It operates on extremely large datasets to derive valuable knowledge about the combinations of factors that contribute most strongly to specific outcomes.

Causality AGI Engines automatically applies rational, ontological, mathematical, scientific, and computational methods to world's data to find causal models/regularities/patterns/correlations/associations to explain reasons, discover inventions, infer predictions, prescriptions and create rational interactions.

A Hierarchy of Causal Machines

Machine , device, instrument, tool, invention, unit, or physical system to augment or replace human or animal effort for the accomplishment of tasks, as the robotics field is to create intelligent machines that can assist or replace humans in all possible of ways.

Any machine is a causal machine that uses causal power/mechanism/forces to control changes and to perform an action.

The operation of a physical machine may involve the transformation of potential, chemical,?thermal, electrical, or?nuclear energy?into?mechanical energy, or vice versa, or simply to modify and transmit forces and motions.

All machines have a causal input, an output, and a transforming or modifying and transmitting causal mechanism.

All machines are either prime movers, or generators, or motors, or operators, or the combinations thereof, like robotic machines which ideally could combine all the categories in one unit:

Since the invention of simple basic machines, humanity has been dealing with material machines of increasing complexity.

All material machines marked with physical constraints, limitations and specifications, processing matter, energy or/and data, with all its parts working together for specific tasks or functions, classified, as in:

physical machines, from basic to complex hybrid machines

simple basic machines: the wedge, screw, lever, pulley, inclined plane and the wheel and axle

mechanical machines, motors, engines, mechanical automata

electrical machines, electro-mechanical automata, electrical propulsion systems, electrical automata

electromagnetic machines, electrostatic machines, motors, dynamo machines, generators, transformers, electromagnetic-rotor machines, EM automata

thermodynamic machines, heat engines, from Earth's heat engine to internal combustion engines to refrigerators and firearms

chemical machines, chemical engines, chemical propulsion systems, chemical reactors, chemical automata

physico-chemical machines, vehicle machines of all types,?wagons,?bicycles,?motor vehicles?(motorcycles,?cars,?trucks,?buses,?mobility scooters),?electric vehicles (trolleybuses, solar machines), railed vehicles?(trains,?trams),?watercraft?(ships,?boats,?underwater vehicles),?amphibious vehicles?(screw-propelled vehicles,?hovercraft),?aircraft?(airplanes,?helicopters,?aerostats) and?spacecraft, physico-chemical automata

biological machines, bioreactors, nanites, molecular machines

computing machinery

computers, nano-computers, micro-computers, mini-computers, servers, mega-computers, supercomputers, quantum computing machines, the internet, "a global computer network connecting computers all over the world to provide a variety of information and communication facilities"

cyber-physical machines

robotic machines, mechanized, automatic, semi-autonomous, autonomous

drone machines, UAVs, swarm drones, trans-media machines, flying submarines, submersible aircraft

the internet of things

the internet of machines, the worldwide networking of machines via the Internet

complex living machines

animals

humans, human body machines

intelligent machines

human brain machines

ML machines (ANNs), AI models, LLMs, GPT-x, Chatbots, medical, educational, conversational, financial, voice, Q/A, self-driving, autonomous systems

AGI machines (humanoid robots)

Rational Cyber-Physical Systems

Hyperintelligent Man-Machine Technology

Superintelligent Transformers, Universal machines

Resources

What is Real Artificial General Intelligence (RAGI), and who prevails the AGI arms race?

https://www.dhirubhai.net/pulse/master-mechanism-universe-interaction-principle-x-y-only-abdoullaev/#:~:text=The%20Man%2DMachine%20Interaction%20Ontology%3A%20The%20Reality%20AI%20Engine%3A%20Causal%20Machine%20Intelligence%20and%20Learning