Artificial Intelligence vs. Human Intelligence
We need to introduce an inverse Turing Test for human intelligence, instead of all sorts of IQ tests measuring cognitive abilities. Conventionally, the imitation game is a "test of a machine's ability to exhibit intelligent behavior equivalent to that of a human". Its reverse alternative is a test of a human's ability to exhibit intelligent behavior equivalent to that of a machine".
That implies your genAI software is as intelligent as your brain/mind/intelligence power. And I am afraid many of us could fail the ITT, including all the present AI communities.
The first things first. There is nothing common between machine intelligence and human intelligence, but the world of nature itself.
Nature, reality or the universe is the common cause, the topmost ontological confounder variable, confounding factor, extraneous determinant, or lurking variable, determining all the sub-world variables, including the human minds and intelligent machines.
Human intelligence is not a mediator in the grand causal chain of being, but a dependent variable, as an emerging machine intelligence.
If an unknown intelligence is modeled by machines, we have an unknown unknown.
Here is a wise observation:
all intelligence, natural or artificial, is essentially about its environments, from the surrounding world to the whole reality, all to know how understand, interact or navigate it all.
Human intelligence consists of the abilities to learn from experience, adapt to new situations, understand and handle abstract concepts, and use knowledge to manipulate the environment. From: Foundations of the Mind, Brain, and Behavioral Relationships, 2024.
The human intelligence tasks are completely different from the machine intelligence tasks, both in scale and scope.
The human domain is restricted with the solar system having eight planets: Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, and Neptune, and five officially recognized dwarf planets: Ceres, Pluto, Haumea, Makemake, and Eris.
The machine superintelligence space is the whole universe, from the quantum microworld to the megaworld of cosmological structures.
Since, the Nature of AI could be completely different from natural human intelligence.
The Nature of AI
AI is a completely artificial thing having nothing common with natural humans, and your feelings and thinking has nothing to do with it.
I label it all as a fake and false AI, because its machine learning and deep learning has nothing to do with the simulating/mimicking/emulating of the human brain/intelligence/cognition/behavior.
It is all mathematics and statistics and probability.
It is all numbers, digital numbers, with all its possible types and patterns and operations.
It digitizes and tokenizes all data, thus creating [non-human] intelligent computing systems, from self-driving cars to large natural language models.
But it is an intelligence, a new type of intelligence which is to be recognized, like it or not.
It is a digital intelligence, data intelligence, electronic intelligence, statistical learning intelligence or simply machine intelligence which is orthogonal to human intelligence and its poor imitation, dubbed as AI.
I tried my best to formulate this all as 5 simple rules somehow to clear the whole messy situation:
AA/AI/ML rule 1: No Real Ontology, no Real Intelligence, Without understanding the cause and effect of interactions within the world, no AI model, algorithm, technique, application, or technology is real and true
AA/AI/ML rule 2: All Artificial Intelligence is Artificial Human Intelligence (AHI), divided as Narrow AI, Artificial General Intelligence (AGI), or Artificial Superintelligence (ASI)
AA/AI/ML rule 3: Real Machine Intelligence (MI) is NOT Artificial Human Intelligence (AHI), the capability of a computer system to mimic human intelligence/cognitive functions/behavior such as perception, learning, reasoning and problem-solving or NL communication.
AA/AI/ML rule 4: Machine Learning is NOT AHI
AA/AI/ML rule 5: AI is NOT ML
Again, "AI systems with human-competitive intelligence can pose profound risks to society and humanity, as shown by extensive research and acknowledged by top AI labs".
Today’s big tech AI, with Nvidia's GPUs, LLMs, ChatGPTs, etc.., could be qualified as 10D software tools,
deep
dumb,
dull,
dense,
defective,
deluding,
disconcerting,
degenerative,
dangerous,
destructive
to humanity and its environments, actually automatically regurgitating prompted pattern-matching token structures, as if generating human-like content, data, text, images, video, audio, code.
Its war cry is “our 7D technology is so powerful that it endangers the human race, which is why you should both invest in it and use it to replace all of your workers.”
If nuclear weapons are only dangerous and destructive to humans and our environments, then the 10D AI as making up human cognition or jobs and tasks, is
deep dumb, dull, dense, defective…
Conclusion
As a result, there is no true AI but the human intelligence faking AI/ML models, processors, platforms, systems, engines, tools, applications, including logical, predictive or generative AI, ANNs, large language models, search engines, chatbots, agentic AI, humanoid AI, etc. It specially refers to LLMs promoted by Anthropic, Cohere, Google, Meta, Mistral, OpenAI, and others.
Examples of fake/false AI include:
● Language models, such as o1, GPT-4o, Gemini-1.5, Claude-3.5, Command r+, Qwen2.5, the ERNIE family, Hunyuan-Large, Yi-Lightning, Llama-3.1, and Mistral Large.
● Image generators, such as DALL-E 3 and Stable Diffusion-3.
● Video generators such as SORA, Pika, and Runway.
● Robotics and navigation systems, such as PaLM-E and Octo.
● AI agents, such as AutoGPT, Sibyl and ‘The AI Scientist’.
● Predictors of biomolecular structures, such as AlphaFold-3
We have to go for the non-human machine intelligence and learning with the human-complete intelligence, as it is proposed in
Resources
Azamat, like your point of view in terms of AI and how it's connected to human's worldwide!