How Real AI Works, or beware of big tech fake AI and false humanoid robots
AI as Real Machine Intelligence and Learning is broadly recognized as a disruptive and highly transformational, general-purpose technology deciding the future of humanity.
As a life-critical existential technology, AI should be protected from all possible speculative bubbles, mass-market consumer frauds and product liability crimes, globally manufacturing or selling fake and false AI products and services.
The fake/false AI chipmaker NVIDIA has now the highest ever market capitalization of any public company, passing Apple with $3.621 T market cap, which is largely due to three intertwined reasons, a big tech AI bubble, big lie, and big fraud, coming from the completely false assumptions of simulating human intelligence in machines. [Largest AI companies by market capitalization]
To build a really sustainable future of humanity, we have to construct a real machine intelligence and learning technologies, as human-friendly, human-completing, hyperintelligent machinery, while disrupting all fake and false big tech AI technologies, as human-hostile, human-competing quasi-intelligent machinery.
Therefore, we initiate the Global AI Big Tech Class Actions Litigation: Machine Intelligence and Learning (MIL) vs. Antihuman Intelligence (AI): the Statement of Claims, including the largest FFAI companies by trillion market capitalization, as Nvidia, Apple, Microsoft, Alphabet, Meta and Tesla, heavily investing in FFAI technology for its Full Self-Driving (FSD) cars, trucks, and autonomous vehicles.
What is Real/True AI/AGI/ASI
Real Artificial intelligence (RAI) is the simulation of reality by machines, especially computer systems. Essentially, it involves computer programs to learn and reason about reality basing on the world modeling hypergraph networks by focusing on comprehending the universe.
RAI is a transdisciplinary R & D & I involving ontology, science, technology, arts, engineering and mathematics, O-STREAM, led by computer science and engineering, to build computing machinery, technologies and systems, capable of learning, computing, inferencing, and understanding, navigating, adapting and interacting with the world, systems, machines and people, in the most rational, effective and sustainable ways.
What is Fake/False AI/AGI/ASI
Fake/False AI (FFAI) is "the simulation of human intelligence processes by machines, especially computer systems". It involves computer programs to reason on the same model as a human brain, by focusing on three cognitive skills – reasoning, learning and self-correction.
FFAI is about "building machines capable of performing tasks that are typically thought to require human intelligence". FAI is about "computer systems that are capable of performing tasks traditionally associated with human intelligence — such as making predictions, identifying objects, interpreting speech and generating natural language".
Fake False AGI (FFAGI) is about machines "which are able to think, learn and act the same way as humans do, blurring the line between organic and machine intelligence".
Then any AGI models, as a human-like and human-level AI, belong to fake or false AGI applications, including OpenAI's AGI.
OpenAI's internal five-step plan for achieving Artificial General Intelligence (AGI) provides a structured framework for tracking progress in AI development. The company shared this classification system with employees on July 9, 2024, and plans to release it to investors and external parties in the future.
The plan outlines five levels of AI capability, starting from conversational AI (Level 1), exemplified by models like ChatGPT, and progressing through Reasoners, Agents, and Innovators, culminating in AI systems capable of functioning as entire Organizations (Level 5), that can function as entire entities, possessing strategic thinking, operational efficiency, and adaptability to manage complex systems and achieve organizational goals.
Again, all today’s FFAI is owned by big tech, aiming to replicate human bodies and brains, or human intelligence and behavior on mass industrial scales.
Why is FFAI Defective?
As a matter statistics, big data, mathematical models, computing power, massive energy consumption, FFAI is completely incompatible with human intelligence by its very design, having no real intelligence, no understanding, no learning capacities,
Essentially, it has no capabilities to deal with reality in terms of the world models, "concepts, classes, categories, laws, patterns, abstractions and generalizations", as general variables and relationships,
In reality, FFAI systems do not work by replicating. simulating human bodies and brains “using algorithms and a massive amount of data collected and applied to mathematical models, or algorithms, which use the information to recognize patterns and make predictions in a process known as training”. Statistical algorithms can not be “trained or learn from and adapt to new data”.
This nothing but a fake and false, human-mimicking ffAI, as pictured below
Disadvantages, Risks and Dangers of FFAI
Job Displacement, AI’s abilities to automate human cognitive functions, tasks, jobs, processes, generate rapid content and work can mean?structural unemployment for all human workers.
Bias and Discrimination
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Hallucinations
Privacy Concerns
Ethical Concerns
Environmental Costs
Taking Over the World
Real AI as Reality-Grounded Machines
Real AI systems work by using the encoded world understanding models completed with computation, programs, algorithms and data. Mathematical models, or algorithms, are unable themselves "to learn from data, understand visuals, recognize patterns or make predictions or decisions".
Real AI is conceptual machines with conceptual models of the world processed with conceptual learning, categorical understanding or scientific intelligence.
Conceptual/ontological/scientific/mathematical/computational intelligence is the essence of intelligence, human and machine: it enables humans or machines to represent reality in concepts, not in simply numbers or data, to think and understand in concepts, not in simply numbers or data, to learn efficiently and deeply in concepts, not in numbers or data, and subsequently create the content, inventions and innovations of any utility or complexity.
All scientific advancement is due to conceptual modeling of reality involving “conceptual models to better understand, operational models to operationalize, mathematical models to quantify, computational models to simulate, and graphical models to visualize the world, its parts and features, objects, phenomena, processes and interactions.
Again, without programmed understanding the world, its classes and categories, machines are unable to “learn from large datasets by identifying patterns and relationships within the data, performing tasks associated with human intelligence — such as making predictions, identifying objects, interpreting speech, generating natural language”.
Without understanding the universe, your faking human intelligence humanoid AI is simply statistical inductive software/hardware applications, simulating and automating humans, our bodies and brains and cognitive functions, as humanoid robots, various specialized superhuman AI models, Deep ML algorithms and multimodal LLMs, all super productive and cost-efficient as machines, but without any real minds, brains, learning or intellect.
Humanoid Robot Technology
As a likely probable future, since 2030, the world could be taken by the FFAI humanoids or humanoid FFAI robots, as figured above, if to follow with the same big tech Humanoid FFAI technology,
"Humanoid robots are not just the future; they are becoming a tangible part of the present, bringing us closer to a world where they assist us in tasks that are dangerous, dirty, or dull", including any human tasks enhancing efficiency and safety, and thus substituting human workforce by machines.
So, humans might not bother themselves with creating any strategic planning beyond 2030,
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