Man-Machine Hyperintelligence: disrupting AI humanoid robots
Man-Machine Superintelligence (MMSI) is the design, development, deployment, distribution and maintenance of technological/computational/machine systems that can model, simulate and understand the world/reality/the universe by creating the omniverse of ontological/scientific/mathematical/virtual/digital models and algorithms that can analyze, process and interpret the world's knowledge/information/data to make discoveries, predictions, decisions, solving problems, generate content and behave rationally and autonomously.
Leveraging the Omniverse' Multi-graph Hyper-graph Causal Networks, MMSI integrates Scientific Knowledge, Predictive Analytics, AI, ML, DL, ANNs, NLP/NLU, Generative AI, LLMs, Robotics and Automation, the Internet of Things, etc.
The MMSI Omniverse encompasses all possible universes, including the Metaverse and Multiverse, representing the sum of all possible realities, physical, mental, social, digital.
The article explains the rationale behind the Global AI Big Tech Class Actions: Machine Intelligence and Learning (MIL) vs. Antihuman Intelligence (AI): the Statement of Claims.
Why Outlaw Big Tech AI
As a creator of Real Machine Intelligence and Learning Models, my principal position: we have to outlaw "Artificial intelligence (AI) as the development, deployment, and maintenance of computational systems that can replicate human intelligence".
Such an AI owned by big tech is fake and false as human-mimicking, competing, and replacing.
Since 2022, the tech industry has experienced massive layoffs, as large tech companies have reduced their workforce numbers in response to rising interest rates and emerging generative AI technology.
Technology firms globally are cutting their workforces as they look to increase spending on and investment in artificial intelligence. Workforce reductions are mounting across the tech sector globally as firms attempt to free up more resources for their artificial intelligence (AI) deployments.
According to tracking website Layoffs.fyi, tech companies laid off more than 165,000 people in 2022 and 264,000 people in 2023, with the latest data showing that 410 tech firms have laid off more than 132,900 employees in 2024 so far. BestBrokers estimated the number to be much higher, with a total of 203,946 employees being laid off across more than 165 tech companies worldwide since the start of the year.
The Pause Giant AI Experiments: An Open Letter, signed by 33+K smart minds, begins with the same claim:
"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".
We must make illegal and forbid anti-human ideas of artificial humans, as artificial human bodies, brain, brains, behavior, business, etc., promoted by the "caricature models" of neurons, thinking, intelligence, behavior and humans:
2. "Computing Machinery and Intelligence" (A. M. Turing Source: Mind, New Series, Vol. 59, No. 236 (Oct., 1950), pp. 433-460 ) Can Machines Think or Win a Game? The Imitation Game/The Turing Test assesses a machine's ability to exhibit intelligent behavior equivalent to, or indistinguishable from, that of a human.
3. AI as Artificial Human Intelligence (AHI) or Human AI. In the early 1950s, there were various names for the field of "thinking machines":?cybernetics,?automata theory, and complex?information processing. On September 2, 1955, the project was formally proposed by?McCarthy,?Marvin Minsky,?Nathaniel Rochester?and?Claude Shannon. The proposal is credited with introducing the term 'artificial intelligence'. "The study is to proceed on the basis of the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves. We think that a significant advance can be made in one or more of these problems if a carefully selected group of scientists work on it together for a summer.” (1956 the Dartmouth Summer Research Project on Artificial Intelligence)
AHI is plagued not only with conceptual and technical problems, but also comes with ethical and societal concerns. These issues, ranging from biases in datasets and privacy to the potential for mass job displacement and loss of human agency, or misuse, as LAWs, cyberattacks and deepfake technologies, feel increasingly inevitable as AI becomes more integrated into human life and practice.
Human-centered AI — AI that is fair, transparent, and beneficial — is impossible when designed with intention as the Human-Like Machines.
Humanoid AI refers to "the general ability of computers to emulate human?thought and perform tasks in real-world environments, while machine learning refers to the technologies and algorithms that enable systems to identify patterns, make decisions, and improve themselves through experience and data".
HAI or AHI as human-competing machines and human-mimicking agents or humanoid robots should be either prohibited or disrupted by Real/True/Transdisciplinary AI as Real Machine Intelligence and Learning about Reality.
Man-Machine Intelligence and Learning (MMIL) as AI/AGI Disruptions
Machine Intelligence and Learning (MIL) refers to "the general ability of computers to model and simulate the world, understanding the universe of physical, mental, social, digital realities and performing tasks in real-world environments, while causal machine learning refers to the technologies and algorithms that enable systems to identify real-world patterns, make causal decisions, and improve themselves through interactions, experience and data".
Man-Machine Hyperintelligence Technology =
the World/Reality/Universe Modeling/Simulation/Understanding/Interacting Machine >
Multiverse/Metaverse/Omniverse >
Turing machines > the Internet/WWW >
artificial intelligence +
symbolic AI +
machine learning +
deep learning +
neural networks +
领英推荐
generative AI +
LLMs +
causal AI/ML/DL +
computer vision +
natural language processing +
knowledge graphs +
robotics + automation + IoT +...
AGI +
ASI +
world's scientific knowledge +
HUMAN INTELLIGENCE
The Poverty of Humanoid AI Robots
There is no MIL with real brains or true intelligence and learning effectively navigating and interacting with the world, and implemented as AI Robotics and Hyper-Automation, yet.
Whoever claims the opposite is either lying or deluding or hallucinating as LLMs.
It is like during the Summit on Humanoid Robots and Embodied Intelligence Development Forum at WAIC 2024, the National Local Joint Humanoid Robot Innovation Center demonstrated Qinglong, China’s first full-sized general-purpose humanoid robot, selling it as “an ideal platform for developing general artificial intelligence software and hardware”.
What sold as humanoid robotics has no brains, intelligence or any mind, be it Sophia, Atlas, Unitree G1, Figure 02, Tesla Optimus, Forerunner K2, Talos, Ameca, Phoenix plus China’s humanoid robots..
Still, non-AI robots are now appearing in industries and sectors, including manufacturing, healthcare, agriculture, logistics, retail, and domestic services. Among the many use cases of modern robotics are industrial robots, autonomous drones, cargo robots, surgical and dental robots, robotic exoskeletons, agricultural robots, warehouse automation systems, robot bartender, small “cobots”—collaborative robots that work alongside humans.
Real/True, Human-Completing AI robots must be autonomous, adaptive and interactive, with the world modeling, simulation and understanding capabilities.
Again, we are to build MI, ML, Automation, Robotics (MIMLAR) as the Man-Machine-Hardware-Software-Mindware ecosystem, which is to disrupt all sorts and kinds and types of AHI Humanoid Human-Competing Robots.
Man-Machine Super/Hyperintelligence
Our forecasting about the Machine Intelligence and Learning (MIL) R & TD & I & I for the period between 2025 and 2030:
Resources
Fascinating insights into the evolving synergy between humans and machines! Man-Machine Superintelligence (MMSI) represents an ambitious step in leveraging advanced technologies like AI, ML, and generative systems to model and interpret our world with precision. Integrating predictive analytics and causal networks could redefine how discoveries are made and problems are solved. Excited to see how this paradigm shapes the future of innovation and responsibility in tech! ???? #AIInnovation #ManMachineCollaboration #FutureTech
MMSI’s combination of generative AI and advanced analytics is truly groundbreaking.?