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Global Intelligence Platform: world's intelligence = community's intelligence + human intelligence + AI [ML + LLMs] + KG + Web data + IoT
Intelligence's major resource is reality and its data, "the new oil of digital economy", involved in the complex world-AI interactions mediated by data, information or knowledge:
the world/environment - action/influence - data/input - intelligence/AI world model - data/output - reaction/behavior - the world/environment.
It covers the updated OECD’s definition of an AI system:
"a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment".
As such, it is ranging from abstract concepts to concrete observations, raw facts and figures, statistics and quantity and variables, big data or web data, patterned as information, data insights and intelligence, knowledge and sciences, by data science techniques, ML and AI.
A general formula of generalized intelligent systems could be identified as an equation:
Intelligences (humans or information systems or AI) = Intelligence (Intellect, Mind, Reason or Compute, Software Computation or AI models and ML algorithms and LLMs) + World [Learning, Inference and Interaction] Engine/Model (Data Structures + Information Architecture + Knowledge Graphs)
In AI, ML and Robotics, data models are mathematical models or conceptual models or intellectual models, digitized abstractions of things in the world, whether physical or social, mental or digital, dynamically representing a past, present, future, actual or potential world's state of affairs.
An intelligent data model may represent a single thing/instance/case/event, whole classes of things, the physical universe or the world as a whole.
So the intelligent/ontological/conceptual/logical/statistical/physical data model/schema of AI applications may be defined using the entity–interaction [domain] data models, information architectures and knowledge graphs.
Information architecture (IA) focuses on organizing, structuring, and labeling content in an effective and sustainable way, involving organization schemes/ structures, labeling systems, navigation systems and search systems within shared information environments.?
A knowledge graph focusing on items and categories as concepts is to store, process and reproduce conceptual information/knowledge as verifiable facts (assertions, axioms, statements, …) linked to objective, real-world data, unlike text graphs focusing only on strings, like LLMs, or mathematical set theory with no semantics and pragmatics.
KG Structures: Entity - Interaction - Entity: Entity–Attribute–Value; Object–Parameter–Value: Concept - Relationships - Concept: Subject - Predicate - Object: node — relation — node, node — link — node, domain — function — range, head — relation — tail, subject — predicate — object, vertex — edge — vertex, argument — predicate — argument, entity — feature — value, entity — slot — filler, etc.
The World of Intelligences
In all, the concept of intelligence and intellect can be applied to different contexts, arranged as the Grand Ladder of Intelligence:
"Plant Intelligence",
"Animal Intelligence,"
"Human Intelligence,"
"Machine Intelligence,"
"Corporate Intelligence",
"Communal Intelligence",
"Urban Intelligence",
"National Intelligence",
"Social Intelligence",
"Global Intelligence",
"Cosmic Intelligence", "Logos",
"Universal Intelligence". " Nous"
Intelligence and Intellect as Nous was identified either as "the apprehension of eternal intelligible substances and first principles or the highest or divine intellect", as the Primum Mobile, the outmost sphere in the geocentric model of the universe, having its own intellect/intelligence or nous?– a cosmic equivalent to the human mind.
Human intelligence is "the sum of mental capacities such as abstract thinking, understanding, communication, reasoning, learning and memory formation, action planning, and problem solving".
National intelligence is commonly reduced to "information gathered within or outside the U.S. that involves threats to our nation, its people, property, or interests; development, proliferation, or use of weapons of mass destruction; and any other matter bearing on the U.S. national or homeland security".
Artificial Intelligence is "the intelligence of machines or software, as opposed to the intelligence of humans or animals", it looks for patterns and trends within the data it's given, allowing computers to?take in all of the world’s available information and combine various pieces of that information to come up with new solutions.
A common definition of intelligence revolves around the power to effectively interact with the world, learning data, information or knowledge, applying inferences, solving problems, creating complex structures, adapting to new situations and shaping sustainable environments.
Intelligence is the most challenging concepts to decode how it makes sense of the world and its things and interactions. It’s going to be a monumental task to create intelligent machines, not mentioning the lost cause of replicating human intelligence.?
Even if researchers develop machines that are capable of emulating human mind in its entirety, their use of emulation and mechanical nature can always be used to undermine their status as human-like and human-level "conscious" machines.
Since the launch of ChatGPT in November 2022, there have been lots of confusion and misconceptions that NL data generative AI solutions can be considered AGI.?
It can respond to user prompts in natural language with significant depth in a way that indicates autonomous thinking on the surface, but in reality, the LLMs simply predict the next word in a sequence of text based on patterns they’ve rote learned from their training data.?
Nevertheless, it currently has over two million developers and over 100 million weekly active users and is being used by at least 92% of Fortune 500 companies.
Global Intelligence, with its applications and reifications
The concept of world's intelligence is generalizing and integrating several major intelligence levels:
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a country's intelligence, intelligent states and smart nations,
city's intelligence, intelligent cities,
community's intelligence, intelligent communities,
corporate intelligence, superminds,
human intelligence, individual,
special domain intelligence, military, economic, business, political, demographic or environmental, scientific or technological intelligence.
digital data intelligence, the web,
artificial neural networks, replicating the human brain’s neural structures
artificial intelligence and machine learning and deep learning,
generative AI, transformers, GPT,
large language models, ChatGPT,
automated, robotic intelligence,
machine consciousness, artificial consciousness, AGI, strong AI...
human minds
All is controlled and communicated, governed and monitored by the Global Trans-AI Platform. [WHY WE NEED A GLOBAL ARTIFICIAL INTELLIGENCE PLATFORM]
The world's intelligence is causally associated with a world's state of affairs, its economy and society,
government and leadership,
ecology and environment,
stability and sustainability,
prospects and future.
It is represented by
a world's data and information and knowledge,
STEM,
the humanities and art,
policies and strategies,
planning and programming,
business and practice,
culture and religion,
All is governed by the global AI networks.
Global Intelligence AI Platform
AI is a rapidly-evolving transdisciplinary complex of science, technology and practice that encompasses various fields, such as computer science and engineering, data science and engineering, machine learning, natural language processing, or robotics.
With so many different parts, it’s no wonder whether AI is software or hardware or data models or large language models (LLMs), such as GPT-4 from OpenAI, PaLM 2 from Google, Claude from Anthropic, LLaMA 2 from Meta, etc.
Since AI is the fundamental and general-purpose technology, it integrates software and hardware and world modeling components that work together to create powerful, autonomous, self-knowing intelligent systems as real and true or scientific AI.
To become real and intelligent, Generative AI must include the techno-scientific intelligence of the world learning, inference and interaction model engine.
Or, Real AI is computer systems that learn, inference and interact knowingly and intelligently.
Real AI is Transdisciplinary, Transformative and Translational AI, or Trans-AI, as described in Trans-AI: How to Build True AI or Real Machine Intelligence and Learning...
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1 年It's becoming clear that with all the brain and consciousness theories out there, the proof will be in the pudding. By this I mean, can any particular theory be used to create a human adult level conscious machine. My bet is on the late Gerald Edelman's Extended Theory of Neuronal Group Selection. The lead group in robotics based on this theory is the Neurorobotics Lab at UC at Irvine. Dr. Edelman distinguished between primary consciousness, which came first in evolution, and that humans share with other conscious animals, and higher order consciousness, which came to only humans with the acquisition of language. A machine with only primary consciousness will probably have to come first.