The difference between AI & humans
The human algorithm governing thinking
The revised human intelligence domains
Data literacy
Balancing AI with education
Re-Architecting schooling
LeiLani Cauthen Futurist, Journalist, Software Developer, Education Advocate
& CONTEXT
Dear humans, especially educators and policy makers,
Ironically, my team and I used AI to learn more about human intelligence. We wanted to know the exact mechanics that make the human mind superior to machines, but we found out our minds do a lot of their thinking exactly like machines.
I’m LeiLani Cauthen, an executive with years of running companies and software development, an everyday philosopher, futurist, journalist, hardcore researcher, compiler and seeker of wisdom and truth. Much of what is in this book was found in other places and is brought together in a new way because of my willingness to look at things often overlooked. It presents ideas for others to delve deeper into and do even more research.
This book aims to show humanity some things it doesn’t know well enough. It will state some surprising insights extrapolated from the research and direct observations. It will answer these questions in ways just about anyone can grasp.
What is human intelligence?
How do humans think?
How can we achieve a human singularity?
What does this mean for teaching and learning?
As a journalist, I do not feel I have to prove everything, just distill what others are proving and present it to be digestible. As an executive, I also felt called to bring sound logic to vagueness and untethered concepts that have forever floated around as either science or philosophy and bring framework.
“Make it make sense,” is the common social battle cry these days, and I felt that way as I shouldered my way through mountains of data. Also, I’m a logic-flaw finder with the skill of holding a premise front-ofmind while scanning thousands of written works for proofs. All my years in high school and college spent researching various subjects in order to win on the school debate team were done with card catalogs in giant libraries, long before Google and now AI.
I set out to define the true difference between human beings and machines.
What a torturous journey it was, including trying not to repeat work done elsewhere. Or work that ends
up having to enter the metaphysical hot zone most scientists run away from at maximum speed or call it something other than what it is. You know, like “spontaneous generation” and “natural selection” are inserted in scientific pronouncements to cover the mystery of life-force so fellow scientists will not ban them into oblivion. It’s rather a nifty trick to be shifty in language and irresponsibly avoid perhaps the most important questions humans have.
I will be braver than them. I have to be in order to arrive at a legitimately logical synthesis of human intelligence and action items that would be worth something. My early articles picked apart and offered research expansions on Gardner’s original “nine intelligences” work, but I was unsatisfied. I’m also not the only one who’s seeking a refuge in human ability to balance the onslaught of a growing machine mindset.
Other authors like Paul Mason, who wrote “Postcapitalism” and “Clear Bright Future: The Radical Defence of the Human Being,” have written prolifically about why we need a theory of humans, and how to refuse machine control. Mason said:
“The idea that ‘humanity is already over’ is deeply embedded in modern thought, from the alt-right to the academic left. No matter how much you, personally, are trying to live by ‘human values’, the consensus is — from Silicon Valley to the HQ of the Chinese Communist Party — that human values have no foundation; that there is no such thing as human nature, no logical basis to privilege humans over all machines, no rationale for universal human rights. With hindsight, free-market ideology looks like the gateway drug for a more pervasive anti-humanism. And we’re about to find out just how damaging this harder drug can be.”
A favorite writer, Nick Bostrom wrote a treatise entitled “The Future of Humanity,” and included discussion of how future technologies can be predicted through theoretical applied science. His paper outlined four families of scenarios for humanity’s future:
• Extinction
• Recurrent collapse
• A Plateau
• Posthumanity (what humans become after a machine ultra-intelligence explosion, effecting a total change to the human condition.)
Bostrom’s logic was impressive. He cites that of definitions he found of posthumanity, only one of which didn’t require “modification of human nature,” which is typically through controlling human sensory input. Such controls would go beyond media propagandizing and control of literature or financial systems to include biological enhancement through things like bodily implants of technology and DNA-altering medicine.
Posthumanity seems scary but he leaves one window cracked open just a teeny bit that could make posthumanity fantastic and that is if we did leap through just one slightly ajar window, we would arrive at a positive posthumanity and not the other options of extinction, recurrent collapse or just a plateau. It’s this possibility that would balance AI and make posthumanity tolerable:
“(If a) large fraction of the population has cognitive capacities more than two standard deviations above the current human maximum.”
What this means is that if human intelligence were raised for a sizeable fraction of all of us, humanity could achieve new levels of life equilibrium and parity with AI. An AI takeover seems inevitable, but as this book will explain, AI is also a dead-end if we do not set out to balance it.1
Could we take up this challenge? Let’s see.
LeiLani Cauthen CEO & Publisher
1Source: The Future of Humanity. nickbostrom.com/papers/future
A tech singularity is imminent, defined as a time when artificial intelligence advances beyond human control and creates explosive technological growth. AI scientists say that it turns data into knowledge and is a “general purpose technology.” Yet, the potential for AI malevolency is real from the view of designing in bias and an arc of propaganda aimed at making humans secondary, mere cogs in a great machine-led society. We are already over our heads in tech dominance culturally and economically.
Of course, today’s present AI are discreet systems, so they seem fairly benign. The issue will come with a few more developments and a convergence.
This eventuality doesn’t feel quite right. It feels like we may be facing a lack of choice. That we may be herded and lose our individuality. That jobs will be lost, meaning will be lost.
A June 10, 2024, report by the ADP Research Institute survey asked nearly 35,000 private-sector workers in 18 countries what role they think AI will play in their work. Eighty-five percent of workers believe AI will impact their job in the next two to three years. Those same workers were split on whether they think AI will help them in the workplace or replace some of their job functions. It’s safe to say humans already feel threatened by replacement and/or epic change they might not be able to survive.
You’d also have to have been living under a rock not to have noticed numerous tech scientists indicating there is a danger in AI and its governance. Governments have had working committees on the ethics of AI for decades. Elon Musk has publicly posted on X about the threat of AI.
The tech industry is really vocal about “posthumanism.” They love the idea of a tech takeover. This philosophical movement suggests that humans have to be altered by technology, such as the brain chip implants and biohacking at the genetic level already mentioned. There are scientists saying that body cells are small biological machines anyway. These additions to the natural human body could lead to the emergence of new capabilities and attributes and will, of course, be wholly marketed as benefits that redefine “human” into “posthuman” or “transhuman,” the later term meaning a human biologically or mechanically altered.
“Brain Mesh” or “Neural Lace” were originally terms used in a series of novels by the Scottish author Iain M. Banks introducing an implantable brain-computer interface. In the early prototype versions developed in 2019, these had a bunch of very thin threads (ten times thinner than a human hair) sewn into the scalp, providing input/output between brain and computer. Such an interface allows any individual to achieve symbiosis with superintelligence: instant access to processing, memory, learning, and artificial general intelligence at an unprecedented scale — theoretically.
There are scientists vocal about neural linking directly into human brains to clean up “misinformation,” which means directly censor thoughts, for your own good, of course. If you’ve studied Elon Musk’s Neuralink, there have been interesting developments for disabled people so there is a trajectory here that may become commonplace.
All of this is to say there is big money behind this movement, but no real corollary of big money behind an oppositional movement to guarantee human protections and chances as winners in what is called the “transhuman” scene to define mechanically or biologically altered humans.
Need to understand the scope a bit more? Well, the number of research projects into things like “aggregating preconscious brain signals to determine what someone believes to be true,” by groups like DARPA are just the tip of the iceberg about what’s going on with the relentless drive towards posthumanism. Other examples of work to reengineer humans include gene editing applications being developed to do the following:
• Adding reptilian genes that provide the ability to see in infrared (military)
• Fostering specific physical attributes (e.g., ability to cope with low oxygen levels — also military)
• Increasing muscle mass in disease-free humans (military)
• For space travel and living on other planets: Adding genes from Deinococcus radiodurans, a bacterium that can survive in high levels of radiation, and adding genes from a variety of organisms to enable humans to synthesize all 20 amino acids (humans normally synthesize only 11 and extract the remaining nine from food)3
In 2020, Yuval Harari of the WEF stated, “The result [of our intelligent design] might be a race of humans who are very intelligent and very disciplined, but lack compassion, lack artistic sensitivity, and lack spiritual depth.” From the view of slave holders and warmongers, this sounds great for them. He also said, “Organisms are algorithms,” in 2018. He was in a position to influence the whole world in his pronouncements, sounding like it was a plan more than a wish.4
Just saying that the redesign of the human race would be in the direction of having them lack defining human characteristics like artistic sensitivity and spirituality sounds very dull for the experience of being human. It also sounds like we’d be smart in limited domains and wouldn’t step out of line ever, nor would we care if anyone else was summarily executed right in front of our eyes. It sounds evil. It also seems like this “intelligent design” is aiming at leaving out some parts of humanity to be the non-altered overlords on plantation Earth.
There is also much discussion of an “Internet of Bodies,” or IOB with humans 2.0 tracked and traced with social scores and bought and sold human capital like investments. That would not be so hard to do since we are already registered with birth certificates and licensing and regulations in numerous ways. It wouldn’t be hard to sell genetic code alterations to prospective parents, either, but the incentive for scientists to cheat and give babies what Harari mentioned would be a matter of some on-the-side bonus pay and some obfuscating marketing language. That sort of mass betrayal has already happened
3Source: “The new irrelevance of intelligence,” first published in the Journal of Australian Mensa, May 2020. Updated version presented at the 2021 World Gifted conference, July 2021. lifearchitect.ai/irrelevance-of-intelligence
4Source: sociable.co/government-and-policy/yuval-harari-hackable-humans-wef-darpa-preconscious-brain-signals/#google_vignette
Just a cursory view of history and it is easy to say that things are not necessarily all better when they are ultracontrolled.
with medical science throughout history. Not that it’s not a good idea to track some things, but to use tracking punitively would be abhorrent.
Maybe, and it’s a big maybe, this whole transhumanism philosophy is correct in the grand scheme of all things. The goal of a global super-controlled society may be just what we need. Humans have populated the whole earth and continue to have wars and quarrels at every level. Life is a struggle for the preponderance of people. If we had less compassion, we might get along as long as we were more intelligent and disciplined. Lack of spiritual depth might prevent terrorism. Maybe this is reasonable.
Or maybe it’s a physical sciences view only, the view that we must conserve the environment and resources, an idealist or elitist view. It might be purely indulgent capitalism. Maybe it looks at the parts machines can play, and it sees the physical universe and animated bodies in it with an eye to establishing stern orderliness. It does this while disregarding the unseen metaphysical and unmeasured things that may be essential to know, and that humanity has always clung to via religion and spiritual musings. It’s easy to consider that in this excessively administrative view, there would be no fun
There would be no random chaos that invigorates humans, no big questions about our spirituality because we would not even wonder. Essentially it is a view of making humans into animals with useful limb dexterity and enough smarts to farm food or manage electricity plants for the AI.
Nowhere is the posthumanism view considering the potential benefits of society being left uncontrolled
Before the Norman invasion of Ireland in the 12th century, Ireland was primarily governed by a system of local kingdoms with no single central authority, effectively meaning there was no unified government for a period spanning around 1,000 years. They did quite well for all those millennia, including a united defense of the country. A handful of other ethnic societies have been the same throughout history including America, so there are arguments to be made for uncontrol and stateless societies. Currently almost the entire global population resides within the jurisdiction of a sovereign state, though in some regions there are nominal state authorities who are very weak and wield little or no actual power.
Just a cursory view of history and it is easy to say that things are not necessarily all better when they are ultra-controlled. Burning your dinner, tripping over your own feet, saying the wrong thing in an important meeting, are valuable because we learn from them. Also, making a mistake is part of the experience of ups and downs in life. Perhaps we don’t want total perfection and enjoy the occasional goof.
For example, some people actually enjoy horror movies. I have absolutely no desire to see them, or graphic sex scenes. They creep me out, make me uncomfortable. I reason that it’s the devaluation of humanity that irritates me. I’m also flummoxed by willful stupidity and messiness. I found out in researching this book that my feelings in these matters are not just preferences. I came to realize that while people of low IQ are quite tolerant of those sorts of things I dislike, people of higher IQ find them repugnant just like I do. Most higher IQ people will not demean or attack others just because they have lower IQ — instead they suffer the vast amount of social human devaluation mostly in silence. If they are wealthy, they barricade themselves into gated communities and university campuses and enter government or tech where they might affect a difference. I believe transhumanism started out with an ideology intent on removing the incalculable suffering of our higher IQ intellectuals who look about them in shame at the vast landscape of lower IQ preferences now with intolerance. They complain about overpopulation, climate, and other ideas that are grounds for large-scale policies of harm to weed out “useless eaters.” In other words, transhumanism seems to me to be the creation of a war on what some people deem deficient intellect in parts of the human population.
A covert way to do that is through AI replacing a large percentage of need for low intellect humanity and then justifying their removal or enslavement. Other forms of technology have already been replacing humans for years in all kinds of jobs. AI would be the ultimate. That is my conjecture of why we have been amidst a holistic global effort led by the usual suspects and technocrats towards a vision of ultra control with AI. It’s intellectually called progressive but is missing a very essential intellectual point.
Our present conditions, and Earth’s spread of humanity as it is right now with a wide range of ethnicities and IQs and adventures, might be evolving towards something tens of thousands of years in the making, or millions. It might need the variety it has grown for some purpose we have not deduced.
In other words, posthumanism ignores that we are a great mass of learning through failures and successes, perhaps towards something we cannot predict. Maybe we need our disorder, quarrels, large differences in IQ, and what seems like overpopulation even though there are vast land areas still underutilized as well as potentials on other worlds. Maybe we need more of our variety, or we need more nationalism and segregation so each race can attain its own ultimate. We don’t know because we haven’t run models to project those sorts of scenarios to their extremes.
Posthumanism under scrutiny is more a sort of extremely self-centered elitist progressivism, authoritarianism, greed, and the glorification of AI, apparently, than the welfare of all of life and the physical universe as a whole entity. It disregards the potential showdown far into the future we’ve all seen in movies like the Matrix, every Terminator movie and many more. A time when humans revolt, or maybe life itself does by evolving an oppositional ability no one can predict. In the movie “The Happening” by director M. Night Shyamalan, starring Mark Wahlberg and Zooey Deschanel, it was life-form against less-sentient life-form. The trees created a plant-based chemical that caused a breakdown in human mental health leading to mass suicides. Perhaps life would cause a new Happening directed at machine dominance, perhaps by a new sort of sentient rust or organism that eats silicon computer chips. Perhaps humans learn to emanate a new wavelength or hold their own magnetic field to counter all machine wavelengths. A new disruptive form of life, a “ghost in the machine” could also emerge. I confess I would not be surprised. Life is the force unaccounted for in the purely mechanical/technical world view.
Recently scientists introduced a fungus to a robot. The fungus soon learned to manipulate the robot, creating a new biohybrid through living mycelia controlling artificial actuators. The robot was a simple spider-like form.5
In the 1993 movie Jurassic Park, Jeff Goldblum’s character, Dr. Ian Malcolm says, “Life finds a way.” He says this line while explaining to the character who created the Park, John Hammond, how dangerous his dinosaur experiment is. Goldblum’s character is correct — the dinosaurs escape and wreak havoc. It’s considered the most quoted line from the movie and the theme of the entire series.
The thing is, why does “life finds a way” resonate so much? That question led to the idea of a human singularity. A new level of humanity that could balance AI so that AI cannot enslave humanity.
Sensorimotor control of robots mediated by electro-physiological measurements of fungal mycelia. Photo credit: Cornell University. Source: newatlas.com/robotics/fungus-drive-biohybrid-robots
Why? Because without our attention on creating a human singularity to balance AI, I predict there will be a dangerous escape of life force to wreck posthumanism most gloriously, possibly to wreck technology of all kinds and send us back to primeval times.
The upside of harnessing an expansion of human intelligence in order to balance AI would also ignite a great renaissance and expansion.
5Source: science.org/doi/10.1126/scirobotics.adk8019
Artificial Intelligence is a machine agent simulating human thinking built from a rules-based model which provides if-then reasoning and an array of data in brain-simulating “neural networks,” piles of more math functions and algorithms, and data self-generating models, which are themselves frameworks of even more math and algorithms. AI has the ability to analyze the environments and produce actions which maximize solution outputs. The field of artificial intelligence focuses on designing machines that can mimic human behavior. Consumers are now becoming aware of Generative AI, which creates new content. This AI is being put to work to generate text, create images, sounds, videos and more. In the education field it is being used in things like building learning guides, helping teachers select instructional strategies, do grading, and provide simulated interactions standing in place of a human resources officer for the student to practice job interviewing. There are uses in every field.
Just because anybody can type in queries to Generative AI does not mean they understand what it is doing or how it got to the point of doing it.
The following graphic depicts the journey to artificial intelligence, the inception point being the rules, created from human intelligence inputs and a physical universe force, electricity, to drive the machines to spark operations between all functions, across networks.
Central Processing Unit (CPU)
Human Intelligence & Force (Electricity) Inputs
Natural Language Processing (Chatbots)
Neural Networks (Thinking)
Recommendations Engine (Narrowing)
Deep Learning (Perceiving)
Generative
Large Language (Text)
Di usion (Refinement)
Transformer (Context)
Autoregressive (Prediction)
Computer Vision (Machine Eyes)
Spatial-Temporal (Space & Time Management)
Theory-of-Mind (Emotions)
(Autonomous Intelligence)
Generative Adversarial (Realistic Output)
Variational Autoencoders (Manipulation)
Agentic (Administration)
Flow-Based (Simulation)
Neural Radiance Fields (3D)
Very simply, AI is electricity plus conductive matter plus rules. Maturing it by many layers, adding a lot of information for it to use, and you arrive at AI. It is piles upon piles of software code on top of computer processors using networks.
To humans, this is putting to work their intelligence factor of logic, mostly math and numbers, plus the motional or energy factor in a melding towards independent problem solving. A few other human intelligences are involved including formational to determine structure, linguistic intelligence, and incorporeal/spatial intelligence to manage pictures, etc. Those definitions of intelligence are discussed later in this book.
The whole arc of reaching AI is an amplification of human intelligence using the physical force of machines and electricity to affect some difference in the physical/metaphysical world and/or organization of animated life. Even if it reaches self-aware AI, a theoretical idea at this time, it will not be independent of electricity as an input.
AI is essentially the building of a mind in the material world so that it will do work for humans.
Not to be painstakingly boring about the story of arriving at AI, but first you need hardware, essentially a processor.
If you look at a computer processing chip, it looks like it has little channels and stopping points for electricity to run along the same as a train runs along the tracks to train stations.
The Computer Processing Unit (CPU) is the central vital component of a computer system. It is a computer chip, a small, integrated circuit (IC) that’s located on a computer’s motherboard. It’s responsible for data processing, storage, retrieval, and input/output. It is made up of millions or billions of tiny electrical parts, called transistors, that are arranged into circuits.
Essentially these hardware things are the “brain” governing the motion and directionality of each bit of electricity fed in and where things are stored.
Machines are built and are communicated with in the only thing they understand which is the numbers 0 and 1. This logic is the simplest binary on-off, yes-no, nothing-something of all logic. The CPU is doing the switching the same way a railroad switch works to shunt a train from one set of tracks onto another with a giant lever and the rails literally moving. Machine logic is like this, only at the level of tiny little electrical routes.
There is no infinity of nuance native to a machine. The logic is binary from inception. Its thinking is as juvenile as it gets, but by layering on more and more sophisticated programming and framing models for that basic logic to ping through, a semblance of intelligence emerges.
The first level is to create a machine language to set rules the machine will understand about what to do with zeroes and ones in different orders and lengths and alternation.
A software operating system (OS) uses a basic machine language to create software that controls how a computer functions at its core, handling memory allocation, input/output operations, and process management.
You can see a motion graphic of the Markov Chain explained here: setosa.io/ev/markov-chains
The next adventure is to layer processing languages onto that basic, rather guttural language of machines so that a better human interface is achieved where we can tell those machines more things.
There are many processing languages you have surely heard of like SQL, C, C++, Java, Python, HTML, CSS, JavaScript. All have their strengths and weaknesses, speeds and degrees of simplicity for humans to manage.
Here are broad descriptions of how processing languages create systems: Rules-based processing and systems are based on “if-then” statements. Think of this level as using an office suite word document program, although obviously coding is not exactly the same as typing regular language. Rulesbased coding is at the core of everything in software. Rules-based systems are the simplest and have limitations in their computing power. They can be a type of AI of their own, and are typically used with well-understood problems, like tax processing, insurance, or online shopping. Any repeatable framework system like a learning management system (LMS) or student information system (SIS) in education has fields where users put in data and the system manipulates and manages the data calculations to represent that same or manipulated or changed-over-time information to users.
Econometrics processing and systems are slightly more complex. Think of this level as masterfully using an office suite spreadsheet program. Econometrics systems estimate relationships between things that can be distilled down to numbers. This sort of processing deals with probabilities and statistics. This requires less expertise than rules-based automation but more data and aims for statistical analysis and manipulation of sets and sub-sets of data. As a result, it requires careful thought about how to architect solutions. The results are usually repeatable but less explainable than those of rules-based automation.
All systems and processing will use algorithms (math recipes) and functions (math problems with one answer output) of more or less sophistication, many of which are sold as pre-built articles of code to plug into a software developer’s system. One of them is necessary for AI systems because it can hop from “state” to “state,” or different data sets while accumulating probabilities which is sort of what the human mind does between its intelligences as it weights it’s observations across pools of perceptions and information and then combines sub-conclusions it made to arrive at a full thought or conclusion.
This one algorithm, the Markov Chain, is the closest to this high function of our minds of mimicking the multiple states and using probabilities and weighting. A practical use of the Markov Chain most people will be familiar with is the autocomplete function in an email and text program.
A platform is a foundational system or infrastructure that provides the base on which other software applications can be developed and run, essentially acting as a foundation for building additional functionalities or services by external parties. Platforms may envelope an operating system, development tools, APIs, and other services that allow developers to create applications on top of it.
An application is a user-facing final software program to perform specific tasks on a computer. Applications are both full-screen website applications, behind-the scenes applications that manage security surveillance and other middle actions, and mobile “apps” which are for mobile platforms.
Machine learning broadly defined gives computers the ability to learn without explicitly being programmed. Machine learning puts in place a model, or architecture of how it will do that learning. It’s this learning aspect that is part of what defines AI.
Machine learning starts with data — numbers, photos, or text. The data has to be gathered and prepared, and it is the preparation part that requires a lot of work. It has to be classified, tagged, or otherwise organized so that later raw and unclassified information can be recognized. This early data will be used as training data for the machine learning model. Usually, the more data, the better the program.
Over time the human programmer can adjust the model, including changing its parameters. This may be to help push it toward more accurate results, or it may be to bias it, which is a danger in AI models.
There are broad categories of machine learning modeling:
Supervised machine learning models are trained with labeled data sets, which allow the models to learn and grow more accurate over time.
In unsupervised machine learning, a program looks for patterns in unlabeled data.
Reinforcement machine learning trains machines through trial and error to take the best action by establishing a reward system.
Natural language processing is a field of machine learning in which machines learn to intake natural human languages, instead of just data and numbers. Natural language processing enables chatbots and digital assistants in many programs.
Neural Networks are an interconnected group of mathematical functions or nodes, like different files, but a neural network is not data storage. The design of their access is inspired by a simplification of neuron cells in a brain. What the tech field calls an artificial neuron is a mathematical function in a system conceived to behave like a biological neuron. Each neuron is connected by “edges” much like neurons in brains use synapses, which are gaps between cells that bioelectricity jumps across, so computers use null or hidden data nodes. This allows a mimicking of omni-directionality of signals from one node to the next of actual data. The “signal” is a real number, and the output of each neuron is computed by some non-linear function of the sum of its inputs, called the “activation” function. The strength of the signal at each connection is determined by a weight, which adjusts during the learning process. These artificial neurons are aggregated into layers, the input layer, output layer, and the interplay passing through possibly multiple intermediate or “hidden” layers. If it’s a “deep” neural network, it has at least two layers.
To simplify, a neural network is a variety of math functions and algorithms stacked on top of each other in a sort of mesh. They are a major component of artificial intelligence.
Deep learning tools enable automated classification of data, process optimization, and predictive modeling. This mimics perception and tagging of each perception, allowing modeling to create predictions.
A recommendation engine, also known as a recommender, suggests items to a user based on their behavior patterns inside software systems or to software systems taken from browser history. This narrows all that a user would need to review.
A
AI system is one that learns to generate more objects that look like the data it was trained on.
AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. Here are a few of the two major types of AI models:
A generative AI system is one that learns to generate more objects that look like the data it was trained on.
A large language model (LLMs) is trained on vast amounts of text data, allowing it to understand and generate human language, performing tasks like translation, text summarization, question answering, and creative writing, all by analyzing patterns and relationships within the data it has learned from. Large language models are what consumers are the most exposed to and include brands like ChatGPT, Bard, Meta, and Microsoft CoPilot. LLMs lean heavily on the transformer model described next.
A transformer model is designed to process sequential input data non-sequentially. Two mechanisms make transformers particularly adept for text-based generative AI applications: self-attention and positional encodings. Both of these technologies help represent time and allow for the algorithm to focus on how words relate to each. The self-attention layer assigns a weight to each part of an input. The weight signifies the importance of that input in context to the rest of the input. Positional encoding is a representation of the order in which input words occur. A transformer model is made up of multiple transformer blocks, also known as layers, just like neural networks. For example, a transformer has self-attention layers, feed-forward layers, and normalization layers, all working together to decipher and predict streams of tokenized data, which could include text, things like protein sequences, or even sections of images. In natural language processing models of AI, a transformer encodes each word in a corpus of text as a token and then generates an attention map, which captures each token’s relationships with all other tokens. This attention map helps the transformer understand context when it generates new text.
A generative adversarial network (GAN) is a model using two models that work in tandem. One learns to generate a target output, and the other learns to discriminate true data from the generator’s output. The generator tries to fool the discriminator, and in the process learns to make more realistic outputs.
An autoregressive model (AR model) is a statistical model used in time series analysis where the current value of a variable is predicted based on a linear combination of its past values, essentially meaning it uses historical data to forecast future trends by assuming that past behavior influences future outcomes; it’s like a regression where the predictor variables are lagged versions of the target variable itself.
A variational autoencoder (VAE) is model using an artificial neural network in machine learning that generates new data samples by learning a complex data distribution through an “encoder” that compresses data into a latent space, and a “decoder” that reconstructs the data from this latent space, allowing for manipulation of features and generation of similar, yet varied, data points. It’s a generative model that creates more flexible representation of data. Applications include image generation, anomaly detection, image style-transfer to a new image, and data imputation, which means finding missing values in data by generating plausible replacements.
A flow-based model is a type of generative model that learns a data distribution by applying a series of invertible transformations, called “flows,” and explicitly models a probability distribution by transforming a known simple distribution into a complex one through a sequence of reversible steps. Applications include image generation, anomaly detection, and data simulation.
A neural radiance fields (NeRF) AI model is a deep learning technique that uses a neural network to reconstruct a 3D scene from a set of 2D images, allowing the generation of photorealistic images from any viewpoint within that scene, essentially creating a fully volumetric representation of the scene based on the input images; it learns the geometry, objects, and angles of a scene to render new views from novel camera positions. Applications include crime scene recreation, film and game creation, and others by rendering 3D models from photographs, novel view synthesis (from unseen viewpoints), and enhancing existing 3D models with realistic details.
A diffusion model of AI focuses on iterative refinement of data. These models learn to generate new data samples that resemble samples in a training dataset and are used to create realistic-looking images and voices. A diffusion model is at the heart of the textto-image and text-to-voice by taking an input image or natural language description and producing an image matching that description or text and creating a voice recording.
SPACE & TIME MANAGEMENT
A spatial-temporal model is designed to understand and analyze data that involves both spatial (location) and temporal (time) dimensions in real time, allowing it to make predictions or inferences about how things change across space and time; essentially, it’s an AI that can reason about events considering where and when they occur. This model discriminates the relationships of objects in space using things like GPS for applications like Uber and real-time mapping for vehicles using wireless signals. It essentially conceptualizes the three-dimensional relationships of objects in space and manipulates them as a succession of transformations over a period of time against time.
A time AI model is a subset of spatial-temporal models. A time model, also known as a time-series model, uses space or spaces only nominally such as an intelligent calendar to manage schooling and use of classrooms, runs regressive algorithms to plot coincidences in time, predict future values such as available meeting times to set an appointment, or use historical patterns to reset values dynamically for such things as sizes of cohorts that will meet based on pace-through-time and for forecasting future trends. This AI model uses particular algorithms and functions that manage units of time and techniques like ARIMA (Autoregressive Integrated Moving Average), and others. Most common applications are dynamic appointment settings in intelligent calendaring, financial and sales forecasting, inventory management to account for depreciation, weather prediction, and sensor data analysis for time patterns and anomalies.
A computer vision model is a type of artificial intelligence program designed to enable computers to interpret and understand visual data from images and videos, essentially allowing them to “see” and analyze their surroundings by identifying and classifying objects, scenes, and patterns, like how humans do with their eyes. Applications include self-driving cars, fingerprint and facial recognition systems, medical image analysis, crime image analysis, quality control in manufacturing, visual search engines, augmented reality, and more.
Source: bmjgroup.com/almost-allleading-ai-chatbots-show-signs-ofcognitive-decline
Theory of mind (ToM) AI adds model frameworks to mimic human mental states and understand humans better. This includes human intentions, emotions, beliefs, perspectives and desires. Applications include empathetic care in the healthcare field, customer service, and personalized learning experiences for students that encourage and correct with the right amount and type of emotion and from the right ethnic perspective.
There are also ethical concerns about the potential for this kind of AI to be used to manipulate the minds of others.
Agentic AI will act as agents and make decisions for people. It won’t just generate text, images, code and videos — it will set goals, strategize and pursue and adapt to reach goals. Such highly skilled assistance working autonomously will be a game-changer for much of human work. While the present generative AI could help you write an email, agentic AI could proactively monitor your inbox, identify important messages that need attention, draft appropriate responses based on your past communications, and even post your to-do list and ensure you are reminded — all while adapting by watching everything you do for feedback to then alter its own administration of duties.6
Self-aware AI is a hypothetical AI that could be autonomous with a “consciousness” and is aware of its own existence, thoughts, feelings, and surroundings. It would be able to “understand” its own capabilities and limitations and have a sense of identity. A lot of the scaffolding to arrive at a self-awareness already exists, as you can see from the earlier models. However, these obstacles are still in the way:
1. Defining consciousness: There is no clear definition of consciousness, knowing what makes something “alive” and how attention and intention work. This may include ideas like selective forgetting.
2. Defining understanding: There is no clear definition of what it means to understand or to “know” with certainty which means machine “understanding” or “knowledge” could be subject to bias. Such things as “everyone knows” that afflict human society but may also be untrue, could establish bias in machines.
3. Defining ethics: Humans have an innate mind governance based on the principle of survival or continuance, they seek to do so across multiple spheres of life, always mentally engaged in evaluating aspects of life from a survival framework unless that understanding has somehow been perverted.
The idea of a machine having consciousness, of being “self-aware” is mechanically possible, but it may also be that life could imbue a machine with that something extra the same way that it imbues humans, plants and animals someday. Biohybrids are already proven.
Already evidence suggests that older AI models eventually get dementia, showing marked signs of cognitive decline. They get old and a little crazy, basically just like humans.
Humans are adaptive and also mobile, which is something that could be built into AI programs and robots. In that respect, AI could have intelligence, mobility and dexterity just like humans.
6Source: forbes.com/sites/bernardmarr/2025/01/20/why-agentic-ai-will-soon-make-chatgpt-look-like-a-simple-calculator
The real reason for a theory of a human singularity is that the only thing that defines the difference between humans and machines is the way we think. The spark of our thinking is not raw physical energy, it is metaphysical. The mind’s energy can only be measured with cognitive tests and brain imaging techniques.
Yes, this is contentious, but are you sure you want to deny the many arenas of science that would agree there is something metaphysical going on with humans? Science knows that the human body when alive has a different kind of magnetic field than after death. Through the theory of relativity, the human body is known to emit various kinds of radiations or signals in different invisible and observable forms like thermal energy, EEG, ECG, and generation of a magnetic field.
The “something different” than machines that humans have is clearly a different kind of energy origin, a metaphysical energy we can’t measure that initiates bioelectricity, which itself behaves differently than regular electricity. Bioelectricity is generated and conducted within living organisms, primarily using ions (charged atoms or molecules) like sodium (Na+), potassium (K+), calcium (Ca²+), and chloride (Cl-). Bioelectricity uses ion channels and cell membranes to regulate charge movement.7
Utilizing different electricity is a huge fundamental difference. In fact, our difference from AI is our use of metaphysical energy and bioelectricity, combined with several other life-force characteristics
The definition of metaphysical is “a reality beyond what is perceptible to the senses; supernatural.” Per AI sources it “may be described as a subtle, pervasive energy field.”
Michael Levin, a biologist, has been making waves recently talking about how our bioelectricity could regrow limbs and organs. He says, “So information is moving through the body, it’s stored outside the brain and it’s moving through the body.” His work has had some success showing that combining unique biochemistry with bioelectricity can accomplish extraordinary things, but things that ancient traditions in China with bioenergetic fields like “Qi”, and in India with bioplasma concepts like “Prana,” have long known and have approached differently.
In essence, something is going on with life force that rearranges physical universe elements and cells directly. Full life forms like humans are both mobile and dexterous and rearrange their living quarters, build buildings, move mountains and more, of course. Machines do not have the same sort of direct dominance over the physical elements.
In philosophy, the acknowledgement of life force is known as “vitalism,” and is a part of discussions in homeopathic medicine by doctors and scientists. It’s not new, it is just that science has ironically made its own religion, one that insists on not acknowledging life force and investigating it.
Thus, there is simply no way around this simplest of dichotomies: a physical thing versus a metaphysical thing defines what AI is versus human intelligence.
It would be nice to shy away from ever mentioning life force or the metaphysical and just say that humans have a different kind of intelligence than machines will ever have and suggest it’s “imagination,” or “critical thinking skill,” but that would be vague and false. It would be rather dull logic to define humans as an ability to perform some brain acrobatics when a machine can do the same things with algorithms.
Source: my.clevelandclinic.org/ health/articles/23144-whathappens-when-you-die
7Sources: forbes.com/sites/quora/2017/11/03/how-the-human-body-creates-electromagnetic-fields & researchgate.net/figure/Magnetic-Fieldaround-human-body_fig3_337325520
Source: news.uchicago.edu/howbioelectricity-could-regrow-limbsand-organs & popsci.com/bodyelectrician-whos-rewiring-bodies
Running a research firm, I have had the opportunity in some thirty different cities from late 2023 through 2025 of asking thousands of educators what makes humans different than AI. Granted, most could not have been said to be highly familiar with AI and most were no longer teaching but in administrative roles. Almost universally they offered either “imagination” or “creativity.” If you understood AI as well as an AI scientist does, you would realize that machines can have imagination, creativity, critical thinking skill, offer faster answers, and theoretically have more memory. That reality puts you back into having to define exactly how human intelligence is different than machines and again, the only way to do that is the acknowledgement of the metaphysical. Even then, that may not last as AI and biotech merge. Machines becoming biological is a game-changer. We won’t be able to call them machines anymore, really. They will be designed life, and we’ve already started doing this, too, with cloning.
We don’t need to enter religious dogma to acknowledge there is life force. There doesn’t have to be a religious book quoted in the discussion of human characteristics. It should only be contentious if it left no room for faith above foundational studies of life force, which is innocently agnostic.
Science tries to use other words than “life force,” but knows there is something providing impetus to every single atom, cell and lifeform, imbuing the physical world, being the physical world including the vacuums of space which have been proven to not be totally nothing but still containing small particles, and likely the inception of energy causing the motion of electrons. A nuclear physicist will explain that the space between the nucleus and the electrons in an atom is the “life” of the atom, because this comparatively vast, seemingly empty region in an atom is where the electron’s dynamic behavior occurs, allowing for chemical interactions, energy absorption and emission, and ultimately, the unique properties of each element — essentially, the “activities” that define an atom’s existence. The same dynamic but unexplainable behavior could be said to describe humans on a larger scale than atoms. “Life” somehow has intelligence and personality.8
So, let’s be fair. Let’s not seek to curtail AI but to balance the eventuality of an AI singularity with a human or life equivalent upgrade. Let’s figure out a real science and alternate goal of creating a human singularity in tandem with AI.
A human singularity could be defined as an ideal social organization and superconciousness of humans brought about by promoting the naturally emphasized intelligence in every individual.
Imagine an organic multi-nodal matrix in structure, a federation of highly actualized intelligent humans together with groups of others.
The theory of a human singularity is that a sustained global educational effort to exalt individual humans for each of their unique multi-intelligences, such that they contribute labor and life activities, and will attain a cooperative social, economic and evolved human superconciousness and balance AI in an expansion for both life and technology.
Simply, when a certain percentage of humans are self-actualized, a state of new organic cooperation will occur such that a matrix of labor and living will fall into place naturally. It might be even better if it was a caused benign cooperative state with advisory roles. Such a state will need AI to co-organize it into patterns with people in the right roles and associations, but life will not be made subservient to it.
Education is one mechanism to achieve a human singularity. In fact, the theory is really just a restatement of the goal education has always had, but with a twist of acknowledging and organizing to execute to all human intelligence areas with intentionality.
8Source: letstalkaboutscience.wordpress.com/2012/02/16/the-electron-cloud
On some level, humans are machines. The statement “organisms are algorithms” by Yuval Noah Harari and ideas like it in his book “Homo Deus,” means just that the complex processes and functions within living beings can be understood as a series of defined rules and steps, similar to how a computer program operates through an algorithm, essentially suggesting that life operates based on predictable patterns and responses to stimuli.
It’s very science-y smug.
It is true at the level of the biology of the human being, mostly. But it is not perfectly true. People have been known to effect cures for cancer with alternative practices of the mind and uncommon medicine that can’t be explained by modern science. That means it’s not a proven theorem that “organisms are algorithms” because there are exceptions — the first rule of science is that it must remain a theory only if there isn’t absolute certainty in the proof.
It is also not true that life operates on entirely predictable patterns or responses to stimuli. There is no precision possible, only broad generalities.
Concessions to biology being more algorithmic are logical since there is a high percentage of commonality to bodies. We have DNA, just as other life forms do. DNA itself seems like mathematical code. In that respect, there is a certain truth that we are like machines.
Agreeing that human behavior is predictably algorithmic, though, is a wild stretch since it would rely on algorithmic calculations that lie on top of cultural mechanisms, education or lack of it, and trends that shift rapidly. Yes, there are psychological studies and outsized success in influencing the masses of humanity, but always there are outliers. Such a claim is also naïve because there are no known instances noted anywhere in science where a single human was studied independent of any/every exposure to other humans to see if the algorithm held true.
There are also phenomena that disprove a hard-wired perfectly predictable algorithm in human behavioral patterns. Let us just say life operating with predictable patterns and responses to stimuli is false in terms of it being perfect, that life “escapes” in unpredictable and chaotic ways. Posthumanists may consider that a percentage of unpredictability to their sciences is quite acceptable. They reason those are expendable life forms outside the norm.
If we were to find a true governing algorithm of life, though, it would be extremely valuable to us as individuals. It might even mean we could use it to conquer living in this physical universe and balance AI. It would be a governing algorithm of the life force, however, and not the body alone.
Agreeing that human behavior is predictably algorithmic, though, is a wild stretch since it would rely on algorithmic calculations that lie on top of cultural mechanisms, education or lack of it, and trends that shift rapidly.
A governing algorithm sits above other mathematical functions in a machine and is used to make decisions. Think of this like court judges or the person determining loan approvals. Lots of others depend on these pivotal decisions. Judges could still err, and there would be a cascading effect on others.
The only human life-force algorithm that should matter would be how we think. It wouldn’t be about behavior or stimuli because those are effects of thinking or trying to effect thinking.
Scientists have determined the brain thinks by transmitting information between nerve cells, called neurons, through electrical impulses and chemical messengers. A “thought” is a mental process that arises from complex electrical and chemical activity within the brain, representing a combination of sensory experiences, memories, emotions, and concepts, essentially acting as a “map” of information that can be manipulated and interpreted independently of external stimuli; it is considered a physical phenomenon, with neurons firing and communicating with each other to create these mental representations.
That is the mechanical brain explanation and is entirely inadequate.
The quandary about the chemical/mechanical definitions of thinking and the production of thoughts is that there is no new embodiment generated, no apparent item in the brain that comes into being. It’s just a poor explanation of electrical impulses zinging around. What forms out of the electrical impulses and chemicals? Some item like another cell or minute particle? If it did, would we know it was a “thought”? But no, there doesn’t seem to be any identifiable result of electricity and chemicals interacting that show “thought.” There is just normal physical entropy of the nervous system and brain matter that is like the ashes left after burning a piece of wood. Doctors and scientists would say that is why water and food need to be ingested — for the birth of new cells and regeneration of body processes. It’s all chemical and mechanical with no known new thing arriving.
If there were an actual mass of thought, even if very tiny for every thought, wouldn’t our brain accumulate and store those and get really large during a lifetime of thinking thoughts? There is no apparent mass from thinking, although the brain grows in proportion to the body and develops more crinkles. Science has proven that its overall volume begins to decrease in a person’s 30s or 40s, and the rate of shrinkage increases around age 60. The prefrontal cortex, cerebellum, and hippocampus are the areas that shrink the most. Blood flow also decreases and communications between neurons in certain brain regions become less effective. The brain becomes like an old machine with depleted electrical conductivity.9
None of this makes sense considering we never stop accruing thoughts and memories. Without brain inflammation and disease, very old people can still recall things that happened when they were very young.
Maybe a thought is a non-thing just like the spark of life is invisible and seemingly without mass or energy or discernible wavelength, known only by its presence or absence as in being alive versus dead. Yet it apparently animates bodies by doing something, emitting something out of its nothingness. Maybe “thinking” is aided by the biological machine having a brain to combine and enable outcomes only, like a computer, but pulls from separate storage and then files changes and additional new data in separate storage we can’t see. Computer processors do not “store” except extremely limitedly, they have separate immense storage drives. It’s evident brains do the same thing but have no storage drives.10
Let’s set aside this invisible life-force and thoughts idea for now and go back to the act of thinking
We don’t usually think about how we think. It happens so fast.
We also don’t think much about what we don’t think about, obviously. Yet there are differences here to explore because a machine is always “on” once it is on and surveilling networks for new data and keeping itself busy so long as it is energized with electricity. Apparently, the human mind can refrain from all thinking. It can be “off.” It can also be “off” in degrees, like asleep. It can “forget” things, which machines can’t do unless mechanically cut off from those routes to data. It can bracket arenas of thought and only focus on those while excluding from awareness all other thoughts and incoming perceptions.
This not-thinking is vastly interesting because it potentially means the brain is being used as a processor only. And yes, there are known sub-brains running autonomic processes and chemical and crystal memory of cells themselves because there is a complexity of body processes we don’t have awareness of directly.
With our not thinking ability, we can have a state of “on” and a state of “off.” We also have a nearly infinite range in between of “on” and “off” in terms of consciousness. Machines have only zeroes and ones as the foundation of all their logic, the same as on or off.
To think as a human after that one difference of alive/on or null/off, there is a governing human mind goal. That’s like the total you’re trying to get when you’re doing addition. AI has a corollary in that it must continue to respond to problems posed embedded as its rules.
Boiled down to one word, our human goal is survival within the physical universe which has space, matter, energy, time occurring as a relentless march forward, and other life forms.
Source: sundayguardianlive.com/ opinion/11818-life-and-deathare-multi-dimensional#google_ vignette
10Sources: Memory Not Stored in the Brain or Not Only Stored There. evolutionnews.org/2024/02/memories-are-not-stored-in-brain-heres-why. theness.com/neurologicablog/neurosurgeon-thinks-the-brain-doesnt-store-memories. nyu.edu/about/news-publications/news/2024/november/ memories-are-not-only-in-the-brain--new-research-finds
That’s the reason, which causes a mathematical main function of thinking. Not toothand-nail survival of the fittest out in the jungle, fighting and overcoming through grit and violence, but as in somehow continuing to be. It helps to call this survival-as-continuance.
This makes sense if you consider that the life-force mentioned earlier, you know, the one a lot of scientists like to ignore because of invisibility, immeasurability and religious overtones with God ideas that scare the predictability right out of scientific experiments. Scientists tend to think the life-force idea cannot comingle with finding truth in matter, not even as a wild variable mathematically which is how I would sensibly treat it.
If it’s not measurable and predictable, of course science has to pretend it is not there. It isn’t there, but we know about it. Life, or a unit of it, is somehow superimposed into what we see. If it’s invisible and yet there, doesn’t it make sense that it is trying to be there? It’s imbuing things that have physicality in the known universe, bodies of humans and animals and plants, with itself. It is assuming identity. It is trying to live and have presence. Simple.
Humans do like to continue living, after all. Very few are busily trying to die. Most want to continue as long as possible.
Once you have the primary goal of the human mind, then it’s important to look for the main function. Function is a math term used here to give form to a human’s pursuit of the goal for which a solution must be continually gotten. This main function is like what AI programmers are writing as the innermost set of rules for AI to operate with. I asked ChatGPT to formulate a clean communication about the inputs from a human perspective:
Even if you’re not into reading math, it’s still fascinating, right? Now that we understand something fundamental about how the human life force is infinity scaled and yet has a definitive zero or one state as well, we know that there is a ratio of consciousness having to do with abundance or lack of resources. The ratio is a governing function of life, and there are many clues in how it works leading to how to increase human intelligence. Did you guess providing abundance of resources? That would be one way. The next obvious question just had to be asked because there were two plausible ones now that the metaphysical energy of a life force has been allowed into the discourse. That question is: where is the governing function of life coming from? Brain scientists like to discuss “parts of the brain,” but we’ve already concluded the brain is insufficient as a storage mechanism and it uses a different kind of energy.
Interestingly, scientists have recently put forth the theory that life is of or from “another dimension,” impinged onto this physical dimension we see. Science is coming around to tradition. They say, “another dimension,” while others would say “spirit world” and the like. Keep in mind, this “other dimension” idea is not the only one out there. Another idea is that we are a “single electron consciousness” to be discussed later.
Logically, it doesn’t matter if we proceed from the point that humans are from another dimension or if human beings really are a single electron as to how we proceed to consider how life is co-mingling with the real universe we see. The mechanics of how we are doing this should be vastly interesting to every one of us.
The philosopher Aldous Huxley, “Proposed that the brain is a ‘reducing valve’ of what he called a ‘Mind at large,’ a universal or cosmic Mind comprising all of reality with all ideas and all thoughts. According to Huxley, our mind filters reality under normal conditions because, otherwise, we would be overwhelmed by the knowledge of this universal Mind. Psychedelic drugs can remove the filter and bring us into contact with the Mind at large, leading to the experiences that several mystics describe. In his words: ‘To make survival possible biologically, Mind at large has to be funneled through the reducing valve of the brain and nervous system’ (Huxley, 1954). For Huxley, the brain was a material ‘connecting device,’ an ‘interface’ or ‘relay station.’ In this view, the human mind is a localization of a universe-wide Mind projected into our brains. The brain filters and suppresses this universal Mind but does not ‘produce’ it.”
Notice how you get the idea of electrical flow from the universal Mind to a unit “reducing valve.”
Huxley’s proposition takes the survival-as-continuance idea up a notch, to not just survival as self but a unit of survival-of-everything as the Mind of everything. Being a unit would have upsides and downsides. One of them is obvious: a unit is a part, not the whole. However, it doesn’t make sense that a single life force unit from another dimension’s universal Mind is just the unit valve. Each would have to be an independent individual in order to also be an electrical potential somehow interacting with the physical universe as a unit of the universal mind. If the unit was still always connected to a universal entity, to interact with it would require it had a reverse polarity.11
This means there is something more going on than the “valve” idea, something more like a “fuse.” This would also explain “unconsciousness” and maybe sleep in addition to Huxley’s comment on psychedelic drugs.
Other research indicates that life is invisibly being what we think of as vacuums, meaning a nothingness but with potentials of energy according to quantum mechanics and the ability of an atom to be a twin of itself, which could mean every life unit has a doppelgänger as in the theory of quantum entanglement. It is the empty or nearly empty spaces between things that are one of the prime mysteries of physics.
If you disagree with the idea that life is a metaphysical energy from another dimension and universal Mind, you might agree with being a single electron. One scientist gives an interesting clue as to our basic characteristic of bringing orderliness by seeming to find that a single electron is life. By so finding, the obvious question emerges of how then do electrons formulate structured matter? How does one electron amongst millions in your body become the boss, the consciousness of your body, You?
Victor Yu. Argonov of the Pacific Oceanological Institute of the Russian Academy of Sciences, in his paper issued in NeuroQuantology, entitled “Neural Correlate of Consciousness in a Single Electron: Radical Answer to Quantum Theories of Consciousness,” he said “Each electron in the universe is conscious. Each electron is the subjective ‘observer’ of its quantum dynamics (energy, momentum, “shape” of wave function). Each electron ‘feels’ its quantum dynamics as its “own” subjective sensations and volition.”12
Argonov noted that in recent years, so-called “quantum theories of consciousness” had become popular in his paper written in 2012. He said, “Most of them suggest that human phenomenal consciousness (and ‘self’) may be associated with macroscopic collective quantum phenomenon such as Bose-Einstein condensate. A macroscopic quantum system behaves, in some sense, like a single huge super-particle, and this seems to solve the problem of the unity of consciousness. These ideas are, however, not in good agreement with contemporary physics. The ability of ‘quantum theories of consciousness’ to explain correctly the unity of consciousness also seems questionable to some authors… we suggest a radical alternative: we argue that human consciousness may be a property of single electron in the brain. We suppose that each electron in the universe has at least primitive consciousness.”
That’s the “you are an electron” theory, and very interesting ideas of “quantum entanglement,” so popular to discuss these days. Yet Argonov also went on to mention the 17th Century Rene Descartes, who said, in a nutshell, “if it’s physically divisible, it’s just matter, and what is not divisible is metaphysical.” Argonov also made an interesting admission of a major mystery:
“(Hard questions accompany the phenomenon of) conjoined twins directly connected with brains. Most of such people die in early childhood, and they do not report their subjective experience. However, there is at least one incredible case of Tatiana and Krista Hogan (Roberts, 2011), who are 5yo now. A ‘bridge’ connects their thalami, and each twin observes sensory data from sense organs of the other twin. However, each twin controls only her own limbs and demonstrates her own behavior. Each twin literally ‘has’ four eyes and ears; however, their ‘selves’ are not unified.”
It is the simplest logic to assume that if this electron-consciousness theory is correct, then there would be at least one physical-universe tiny particle representing life and we don’t need to worry about the other dimension anymore. The problem is in how that one electron is conscious, which is still an invisibility of somehow manifesting energy and momentum. So, the theory is just a tinier versus of what we can’t see in an instance of a whole human or animal or plant life. The scientist even points out that there are further mysteries of how twins are imbued with two viewpoints. That’s why the scientist had to go with a single electron being the unit of consciousness because there are multiple electrons in atoms.
The interesting takeaway is that if it were true that you are a single electron, and every atom has multiples, which would each have their own consciousness, who gets to be the super-consciousness? The theory would put you as one lonely little electron in immediate
12Source: NeuroQuantology: philarchive.org/archive/ARGNCO
Human consciousness may come from another dimension, scientist suggests
Source: msn.com/en-us/ lifestyle/lifestyle-buzz/humanconsciousness-may-come-fromanother-dimension-scientistsuggests/ar-AA1qTuM8?ocid=SNYD HP&apiversion=v2&noservercache =1&domshim=1&renderwebcompo nents=1&wcseo=1&batchservertele metry=1&noservertelemetry=1
Source: backreaction.blogspot. com/2021/08/physicist-despairsover-vacuum-energy.html
competitive consciousness with others to achieve the awareness level of a whole body. To get promoted that far up the chain of command, you had better be a really talented electron. So, there are further questions: how does one electron manifest dominance of consciousness within their own atom and then beyond that and above it across billions of others to control an entire body?
While we are at it, what sort of individual consciousness volition aggregates multiple atoms into structures? Matter is rather solid. Even air has more mass to it than the life-force that invisibly makes a human “alive.” When a human is dead, are the cells all still alive and all the electrons? Apparently, fingernails and hair still grow after death, so somehow, they didn’t get the message, which indicates a lower order life force didn’t know the boss quit. Or perhaps there is something to aggregated consciousness with a bunch of subconsciousnesses in a bureaucratic pyramid scheme. The fact that a body slowly decays indicates that it’s not as if every single electron just ceases to be now that it’s part of a dead thing in the way that the overall consciousness seems to just disappear.
We know that eventually everything about a body turns to dust, and even the dust has electrons. Are they just waiting to be part of another aliveness like a daisy growing out of that dust? That seems possible. Yet where does the “super-consciousness” of the aggregated whole aliveness go? It seems like an electron’s super-consciousness dominance over others is rather liquid, forming a control field from wherever it resides.
There is some obvious truth in super-consciousness of cells or molecular level antics because it appears that life force organizes in tiers, pyramidical-like a body having departments like liver cells, skin cells, muscles, etc. Just like how we create human organizations with top executives and departments for finance, human resources, production, etc.
The answer deduced is consciousness seniorities.
The human mind, and not the brain, appears to be a person’s consciousness. This is because it is non-physical as an aggregating force whether it is a single electron, or it is extradimensional. It uses unmeasurable energy in either scenario, and can be mapped for activity but not predicted. This correlates with the Quantum Superposition theory.
Therefore, your mind is an invisible seniority running your body consciously when you are awake and alive. That senior consciousness is not actively aware of autonomic bodily functions like the impulses that cause the heart to continue beating and the lungs to breathe. It doesn’t need to be. Those impulses may be caused by sub-life-force, with brain sections or something acting as sub-aggregating forces and the central nervous system the command channel, with the body cells another tier down of sub-life-force.
Animals, including parasites and single-cell bacteria have less intellect but behave with a similar sort of organizing factor as a species. They offer clear evidence of the metaphysical nature of consciousness, even if you buy the single electron theory over the metaphysical universal Mind side. There is still something going on having to do with emanating dominance as a seniority managing the overall entity.
Just look at the behavior of the simplest life form, bacteria. “These also can sense the environment, actively move within it, target food, avoid toxic substances, and meaningfully change their swimming direction. Most evident is this behavior when they come together forming a bacterial community that shows surprising problem-solving abilities. Bacteria communicate with each other and coordinate gene expression, which determines the
collective behavior of the entire community to achieve a common goal with collaborative problem-solving abilities [for a review of bacteria’s behavior see (Lyon, 2015)]”13
Baby animals also seem to know exactly where to go to find milk from their momma, a sort of genetic memory. Actions of many smaller life-forms that act like bacteria include ants, which also appear to have a central mind across many ant body units, as do any hive of bees and a lot of bird and fish species. This could be said to be a non-physical mind that organizes unconnected individuals as if they were one body and is metaphysical, not incarnate in those physical bodies but exterior somehow. This makes the other dimension theory really seem likely. It seems like there is something of a genetic mind, a low-level operation with a string of code not unlike the machine languages of computers. The genetic code doesn’t seem to be the organizing mind of a hive or colony species, but possibly there is an interplay there between genetic code operating as if it were a lowlevel metaphysical mind and a consciousness seniority unit human that is metaphysical.
The junior “sub-minds” are known to medicine as the autonomic system. These “vegetative nervous systems” controlling involuntary functions also appear to have the manifestations of a hive or colony mind, because alike cells clump together to form organs and perform a function unanimously.
There is a high probability that the hive mind is a manifestation linked to smallness, operating at the molecular level up and through bacteria, parasites, ants, bees, and so forth, as an untethered metaphysical mind. Very small things appear to have a centralizedbut-unconnected individual consciousness seniority and no individual consciousness, while larger things have a singular consciousness seniority like humans. If life forms like humans are nullified, life may try to aggregate other things into having the qualities of action to remove barriers by assigning a super consciousness. Free will of hive minds would operate the same as a humans except with very little intelligence. There is a possible ratio to how much life is confined to smallness versus how many units of matter it will imbue or grant with life to attract a consciousness seniority.
The ability of a life force to have an unconnected consciousness seniority is what is of interest in the goal of a human singularity. It is logical that life would retaliate against any subversion of itself by animating matter in innovative ways that would ensure it is no longer restrained — the essence of free will is exactly that unlimitedly powerful. Therein lies the disaster of pretexts to authoritarian limits on life force. It is already clearly evident in the ways infectious diseases will mutate.
Given what we now know about the human goal of survival-as-continuance, our main mathematical function, and the fact that we operate within a matrix of consciousness seniorities, either from a brain’s single electron or as a metaphysical single invisible life force unit, how are we living and more precisely thinking?
We asked Microsoft’s CoPilot as well as ChatGPT this conjecture which had elements of quantum mechanics, Huxley’s idea, and the original function.
“Write the mathematical algorithm of life which has these indications: A pool of life force units (1) which each have no motion and contain no matter but which have positive potential and achieve identity and form at decision, plus a Life Force as an Infinity of Motion (2) which at decision achieves infinite velocity of motion, creating a change which energizes the (1) units into a percentage which creates space, energy, matter with another percentage remaining no-identity units free to imbue mobility into physical universe forms as biologicals, continuously operating to use (1)’s potential against the negatively charged (2) which is perpetuating as an All-Motion via the grounding base of physicality, equaling visibility and continuance for the (1)s which mirror the All-Motion (2) in survival drive.”
13Source: National Library of Medicine: pmc.ncbi.nlm.nih.gov/articles/PMC10641890
Source: qbi.uq.edu.au/brain/brainanatomy/peripheral-nervoussystem/autonomic-nervoussystem
1. Static No-Motion Units:
• Represented as units with positive charge, these entities have infinite potentials but no inherent motion.
• They exist in a state of potential energy, waiting to be activated or influenced.
2. All-Motion Entity:
• Represented as a negatively charged entity, All-Motion embodies the dynamic force that drives change and movement.
• It interacts with the static units, creating a dynamic system.
Friction in this context refers to the interaction between the static no-motion units and the AllMotion entity, mediated by ethical intelligence. The results of this friction include:
1. Activation of Potential:
• The friction between the static units and All-Motion activates the potential energy within the static units.
• This activation leads to the manifestation of motion and change.
2. Creation of Dynamic Systems:
• The interaction creates dynamic systems where static units are set into motion, contributing to the overall movement and evolution of the system.
• These dynamic systems are characterized by continuous change and adaptation.
Now we have a working algorithm of what life is doing as the metaphysical against the physical universe. This algorithm includes all humans as life force. Again, it is reverse engineered from the outcome and Huxley’s logic. Although it might seem esoteric, it explains what is going on.
Governing Mathematical Algorithm of Life & the Physical Universe
S=t→∞lim∫tdt[α⋅f(uF(t))+β⋅g(uR(t))]⋅h(M(t))dt
Note that with this mathematical function of life, we have life force units arrival on the scene, animating bodies and plants. In the beginning there is one thing, and in the end there are three classes of things.
1. The multiplicity of individual life force units,
2. all of the physical universe consisting of space, matter, energy, and 3. an all-motion which is the original life force, a perpetual change-agency and represents time.
This expresses a “Big Bang” beginning at the same time as the “Big Crunch” scientific theory which is an increasing matter density and a drawing together action, with room for a deity trinity if you are of a mind for that.
In any case, life is on the scene as many individual units, possibly an infinity of units. They are not the same as the original Life Force, but an opposite polarity. They cannot be seen, are invisible, but have potential energy. The number three All-Motion is always visible but incomprehensible, spoken of hundreds of years ago as the Aether.
What’s the next level down as to how a human is thinking as an address to accomplishing its goal of survival and continuing to appear as something on the great stage of the physical universe, so it is not the invisible vacuum of nothing, a static with potential?
We asked Copilot the results of exerting at will a friction between the invisible static nomotion units with positive charge and the negatively charged All-Motion entity:
This means that if one life force unit applies the function of ethical intelligence, which includes a natural draw towards infinity of the physical universe or all of everything because of the goal to survive the life force is using a “draw together” friction. That’s the “Big Crunch” theory of scientists stated differently. It’s the natural action of life.
In any case, there you are, you’re you. A you with a mind and brain trying to do what? Survive and continue in contest with the entirety of all forever? Well, yes. Or to at least get your next paycheck. There are levels to this.
It should again be noted that a life-force unit may need a brain to think, or else the brain is similar to holding a tiny supercomputer like we do when we hold a smart phone rather than the Univac football-field-sized computers of our grandfathers. The mind is a sort of cloud around this tiny fist-sized thing and is also invisible and indeterminately sized and doesn’t occupy physical space or time anyway. It is the life-unit, at will there or not there as proven by magnetic fields analysis and what we can see happening when using an EKG machine on a human.
It also makes sense because somehow the structure of life-unit>mind>brain> is mirrored in how computer systems are built as you will see in later chapters, but without the invisibility of two major parts. Machines have electricity> processing units > logic architecture and storage>.
This looks like this, with the human-side “x” being a leap into the observable physical universe.
Human thinking is apparently the result of interrelating life energy, mind and brain towards finding solutions or solving problems with other life and matter in motion. It’s apparent that memory and thought are not physical items and use the brain as a processor. Perceptions are ingredients poured into the thinking dynamic going the other way.
Intelligence is an innate quality which is shown by thinking. Intelligence differences may be a quality and/or quantity of life force in the single-unit human mind.
We call IQ the Intelligence Quotient because it is both “a degree or amount of a specified quality or characteristic.”
Science has proven that IQ, the way it is traditionally measured, is improvable by humans. For a long time, science said the opposite, that we were born with what we had and there was no escaping being brilliant or dumb, so somehow the science itself got improved. It is an amazing thing, a big shout-this-out-everywhere thing, that we can increase intelligence. More about intelligence later.
Humans appear to be thinking and making decisions in this sort of way, much of it subconsciously:
“I am a fractional and wholly individual unit of life, and I’ve got a certain amount of available resources of things, fellow humans around in whatever level of association with me, potentials, barriers and problems, a body that can do just so much, and time is ticking. I know I’ll die someday, and I’d like to get something out of this tour of being alive, win somehow, so I have goals even if I don’t state them explicitly. I’m here with an underlying pre-identification with the infinite, meaning I strive, and I am attracted to fancy stuff and other life, I have affinity. I’d like to own everything and everyone and do so forever across all of infinite space if I could, but I’ll scale back because that might get boring to have nothing left to purchase and nobody to have a proper quarrel with me without shaking in fear because I’m so all-powerful. Perfect order would make a no-game condition and if I am to absorb any meaning out of living, there must be a game where there is a possibility of winning and losing. So here I am, in the level of the greater game I’m in, with certain barriers to overcome. Let’s see now, why is the boss so grumpy today?”
Of course, that’s variable, but key elements of thinking are all there and are precious to know.
Let’s talk about the mechanics of thinking as the qualities brought by the life-force and mind into the brain because they are different than machines. There are three to know. No one knows if one comes after another or if they operate in tandem.
The urge to have an identity could be the cause of thinking, so that the identity continues/ survives.
1. One is a sense of individuality, a separateness. Being one human being, and most animals have this as well, establishes the quality of having a single viewpoint. Because there is this quality, the mind can differentiate other life and things in the physical universe. For example, as a baby, the mind starts with identification of a “me,” like being the one (1) in a set the baby is going to enumerate and observes the great blur of everything else initially as a big zero (0). As the baby’s mind perceives people and things, it assigns more and more identifiers, like a one-A (1-A) for mom and one-B (1-B) for dad, etc. That assignment of identities, essentially differentiation of people and things, leads to thinking. This is exactly the same way machines “think” at the processor level before all the software is built up on top for more sophistication. It’s all zeros and ones.
If a human did not have the sense of being just one unit, the entire mechanism of thinking would fail. If it were only a “valve” to a universal Mind as Huxley had theorized, and not more of a fuse to a separate entity, thinking wouldn’t work the same. This is also true of the single-electron theory. Being a single viewpoint is the main logic of a human mind. It is the originating “1” to all else being “0” with the mind built up from there. In fact the principle problem humans seem to have is confusions of communication, of identity, of purpose or scale. Straightening those out so the single unit human being understands themself versus others, brings great relief to most people.
Note that a sense of individuality to most humans is being their human body. Life force also occupies other forms. We don’t know how many or how varied. Could a life form be a rock and throw itself by emitting enough metaphysical energy? No one has ever seen this, but then no one alive today was around when the universe was formed. Life is certainly in a whole lot of things that have no observable brain at all like bacteria. The sense of individuality is tightly tied to needing an identity. To be seen even though the unit of lifeforce is unseen or maybe because it is. The urge to have an identity could be the cause of thinking, so that the identity continues/survives. It’s a sort of force, which is why scientists call it the life-force. It energizes and organizes the other qualities like the natural affinity and communication capability to enable a human to change realities in the physical universe, to get a bigger paycheck, to control some arena well, to win.
2. Second is a quality of natural affinity that life has. That’s an urge to like, admire, love, associate, infiltrate, imbue or become, maybe to possess and own things, ideas, and affiliations with other life forms and things. It’s pretty much the same as magnetism of metals or the attraction of like elements. Affinity of matter with like matter has been proven by science and is non-mysterious. Like molecules attracting each other might be low harmonics of life force found inside solid matter. It’s a wavelength of some kind that is being manifested in order to be in communication or have an identity. Note that life “occupies” space in ways it is hard to explain, and the evidence is the billions of life forms on Earth. There is a similarity with water or air in how malleable life force can be to permeate and take any form.
This quality is most simply understood as our “1” state, our “on.” It is our act of flowing out with our energy, reaching out to sustain our identity.
3. The third is withdrawal to static state. Life has the ability to withdraw, an aspect because of its infinity of consciousness states down to no-state or death, a zero. This thinking ability operates to use an infinite range of vacuum states which have potential to play off the infinite active wavelengths as opposites. This means we aren’t using machine language of zeros and ones in the same way because our zeros and ones are not so concretely defined. Every state of affinity wavelength or static vacuum is without definition.
This quality is most simply understood as our “0” state, our “off.”
Watching movies, humans think supervillains are bad because we are counting effects, just like a machine. We are counting how many other humans and lifeforms are marginalized by them. We are counting bad effects on matter and energy and spaces. We are counting especially how much lifeforce is enslaved into being practically immobile matter.
We are counting almost as if an imbalance between matter and life forms would have cataclysmic results for both. There is a potential that life forms are a scale of densities, from matter to free-form consciousness seniorities. Free form consciousness is capable of organizing matter, so without enough free form life force there would be no life forms
The reason that is most probably true is that life must perceive that if it all got trapped in matter that the “Big Crunch” effect would accelerate.
This might be what a black hole is, accelerated density which removes the “space” within matter, those mysterious far distances between a nucleus-plus-protons and electrons in any atom. Ask any physicist and they will tell you this space is a vacuum and empty. Note that a perfect vacuum is suspiciously exactly like we’ve described a life force unit, invisible and containing no mass, but capable of energy. Mass is built of energy, but it must be built in a space. If there were no space priorly established, there could be no mass. A life force unit is probably being the space and each part of every atom.
With the space squished out of every atom sucked into a black hole, the matter also probably disappears. It makes sense this would free the life force locked inside that was being the vacuum area like the famous statue of Atlas holding up the sky. We don’t know where it goes after being set free. This might be the release of life force while coincidentally removing matter.
The human mind is posing this one question alongside every problem as we seek decisions and it’s quite mathematical:
How many lifeforms and elements will be positively versus negatively affected?
This is weighted to life-forms over the elements. It is counting. We consider the win ratio of the lifeform side more important in the same way we triage the injured in time of war. We save first the ones we believe can be saved. The effects of any decision on the elements of matter (as in access to or sourcing or owning, organizing or excluding as a barrier), space (making space, how filled, how used, how much, lack of), energy (as in how much effort or raw electricity used to produce) and time (as in shortness or length towards achieving the purpose and amount of attention and control needed), are slightly secondary.
Thinking, in its roughest initial calculation is, again, myself vs. everyone/everything else. This rough intelligence can be seen in observations of young children who enact it by reaching out and touching everything, putting any old thing in their mouths, walking anywhere their legs will carry them. They are like a tiny incursion force, invading every space and trying to take over every object including wrapping a tiny fist in your hair and pulling with no thought about how it might hurt. As they mature, they easily differentiate between things and other life forms, forming an alliance with parents to hold hands and careen about more stably.
It makes sense that this differentiation between life and non-life elements continues to mature as a person ages, and it does.
It eventually makes nine sweeping categories that are the domains of human intelligence utilized at step five in a governing human algorithm shown below. Those categories are counting buckets, each accruing numbers that the mind then evaluates across. Many philosophers have used nine pillars, these are adapted and cross-referenced in the later chapters on human intelligence.
0) Assumption of the human governing function (survival/continuance), plus what you are and where/level.
1. What is the problem? The size and scope is assessed.
2. Getting an idea to overcome the problem.
3. Counting up effects-through-time on each of the nine channels of life corresponding with the nine human intelligences, assigning a quasi-numerical cost value in this order:
9. Time or amount of attention and control required,
8. Energy and motion required,
7. Space available or lack of that would need to be made,
6. Matter, solidities
5. Plants and animals,
4. Mankind or species,
3. Work or team group,
2. Family or immediate small group,
1. Self.
4. Evaluating numerical values of costs or benefits of 1-5 versus 6-9, noticing frictions. This is because of the premise of continuing life against the physical universe, weighting 1-5 heavier than 6-9.
5. Decision point, action taken or recalculation.
There are many extrapolations you can make from this algorithm that are fascinating. For example, we easily shut down the decision to do something about a problem if it is going to take too much time or control (energy) we don’t have the power to exert. We probably don’t even go through the rest of the algorithm to count up effects because we considered our level of address as our very first element and when we get to considering something like bringing about total “world peace,” we just say “nah,” and start looking for the next problem. Total world peace is, for most people, above our pay grade so to speak.
We can also notice that we consider ourselves last. This is because the mind’s address is mechanically first through time, motion, and matter before it gets to life forms of any kind. As a unit life form it is using time and motion to enter matter, the brain. This also tells you that minds that put themselves first above all others and effects on the elements are in some sort of inversion of thinking.
Life-force Unit orSingle Electron
Mind’s Algorithm
Discovering human intelligence is possibly the same as discovering what being a human means. Interestingly, Google’s AI will tell you:
“Human intelligence refers to the mental capacity of a human to learn, understand, reason, solve problems, plan, and use language to communicate, essentially encompassing the abilities to adapt to new situations, comprehend complex ideas, and utilize knowledge to navigate one’s environment; it includes cognitive functions like perception, attention, memory, and reasoning.”
A decent set of definitions, but a failure to define intelligence domains, what the mind is trying to be intelligent about, and idiosyncrasies, which this book will hope to align.
Undoubtedly, the man who stands out from the crowd for formally introducing the idea of multiple intelligences was L.L. Thurstone (1887-1955). Thurstone was a mathematician hired to work in Thomas Edison’s laboratory. Thurstone soon became aware that Edison seemed utterly unable to comprehend mathematics. This led Thurstone to conclude that, rather than a single quality called general intelligence, there must be many kinds of intelligence, perhaps each unrelated to the other. Thurstone believed that if a person was intelligent in one area, it didn’t necessarily mean he would be smart in another.
Based on his factor analysis of the human intellect, J. P. Guilford developed an intelligence model. In Guilford’s Structure of Intellect (SI) theory, intelligence comprises operations, contents, and products. There are six kinds of operations (cognition, memory recording, memory retention, divergent production, convergent production, and evaluation), six types of products (units, classes, relations, systems, transformations, and implications), and five kinds of contents (visual, auditory, symbolic, semantic, and behavioral). Since each of these dimensions is independent, there are theoretically 180 components of intelligence.
Some of these informed a simplification and alignment of the later Howard Gardner’s theory.
Harvard psychologist Howard Gardner’s breakthrough work to discern that there are actually multiple intelligences (MI) and proposed that human intelligence is made up of a variety of different types of abilities, rather than a single general ability including verballinguistic, logical-mathematical, spatial-visual, bodily-kinesthetic, musical, interpersonal, intrapersonal, naturalistic, and existential. Note that Gardner’s theory is not considered clinically “true” as there is a significant lack of empirical evidence to support the claims.
14Source: Howard Gardner’s original multiple intelligences. howardgardner.com
Gardner’s theory also suggested that people are not born with all of their intelligence, and that people continue to learn and develop throughout their lives. This statement had run contrary to much of the field until recent years. Since his suggestion, others have proven that yes, IQ can be increased.
He also cautioned that people learn in different ways, learning styles espoused by the education field are not the same as the multi-intelligences. He noted that different types of intelligence are located in different areas of the brain, and that these areas can work together or independently, although “areas of the brain” has never been proven.
Learning styles are individual preferences about how they concentrate, store, and remember new information such as listening, seeing, doing, reading or writing. These are all activities interacting with the exterior world.
Multiple intelligences are how an individual uniquely understands, assesses and incorporates different types of information. These are all internal processes.
Gardner defines an intelligence as “bio-psychological potential to process information that can be activated in a cultural setting to solve problems or create products that are of value in a culture”. According to Gardner, there are more ways to do this than just through logical and linguistic intelligence. Those two things, languages and math, which is arguably also a language, are what the education system focuses the most attention on.
That focus is akin to caring only about how we communicate to others and matter/ machines. It is well-less than all of human ability and leaves out how we think and why.
In order to get to a point of human singularity by increasing IQ as much as we can across mankind, we have to know mechanics and not just definitions.
pmc.ncbi.nlm.nih.gov/articles/ PMC7709590
There’s hope for us all: IQ can improve!
aaas.org/taxonomy/term/9/ theres-hope-us-all-iq-can-improve
What was missing in Gardner’s original nine was making sense of the interplay between the human mind and the exterior world, an overarching human motivational idea, and a governance factor between the types of intelligence. These changes answer what the mind is trying to do. In addition, in Gardner’s original set of intelligences, there seemed to be an overlap with perceptions and skills which went beyond the pure concept of intelligence. In the new definitions, those things are separate sub-elements of the intelligence domains.
A revised framework explains the primary motivation of the mind, which is survival as continuance across all areas the mind addresses by living.
The use of survival/continuance as the key motif is derived from the human governing mathematical function, and secondly, the algorithm applied to thinking. The algorithm gives the mind’s natural divide as between surviving as animated life, versus surviving as matter, space, energy and time. The pitting of the oppositional force of matter in space and energy through time, against the intelligence of animated life, creates a game where life is bringing order to the material universe. This results in families, civilizations, and so forth. This revision was posed to ChatGPT, which came back and said that “This redefinition of intelligence is now in line with the human mind’s main mathematical function of being deeply survival-centric, expanding Gardner’s framework into a structured hierarchy of survival—from individual survival to the survival of time itself. This evolutionary approach emphasizes how intelligence governs, not just human adaptability but also the endurance of systems, organisms, and fundamental forces.
Here’s a comparative breakdown from ChatGPT of the Gardner vs. the Cauthen 9 Human Intelligences:
As you consider these revised intelligence domains, be aware that humans can readily be seen to create quarrels, games or frictions between any number of the nine dynamic areas of life. They may be stronger on one than another. Some people are being more their family or their group than they are being empathetic with the rest of mankind, for example, leading to things like racism and politics. Some people seem to live for the environment, matter and space, or for plants and animals more than for people. Some are not adept at using time, or energy, always having frictions with those.
Put differently, the nine areas of intelligence are the nine areas of life itself, since life has a predilection to try to “be” all of them, or some, or one against the rest, or teams. In this way, life makes a game of living in the material world. A game has freedoms, barriers and purposes, and the individual makes up the purpose and uses their native intelligences as their freedoms against imagined or real barriers.
The nine intelligences are also called “domains,” in the revision, since there is no real line of demarcation between one intelligence and another. They are the nine human intelligence domains because they are the nine areas of life. However, since there is one overall intelligence quotient, and many current tests for IQ do not consider several of the domains, those will need to be upgraded.
In the grid that follows of the human intelligence factors, each has a description, how it is enacted in real life, the skills apparent from that factor, the perceptions of that factor, what difficulties will be evident if the individual is overly concentrated in that one factor, what will be evident if the factor is low or absent, and the likely favorite labor to fit a concentration in that factor.
9 Channels of Thought Individual Family, Small Group Groups Mankind
9 Domains of Intelligence 1 2 3 4 INTRAPERSONAL
Description
Awareness of individuality, having an identity, one corporeal body, interior processes and thoughts , emotions (motions within) and feelings.
Enactments Health focus including body capacities and expressing physicality and/ or illnesses, allergies; what drugs, vitamins, foods, salves, medical procedures, hygienic care.
Skills Dexterity, body coordination, can be trusted with machinery.
Perceptions
Body-perimeter safety, limits of strength, flexibility. Narrow but concentrated present time span, not able to split attention between things easily but may be able to split attention interiorly. Time sense is daily routines.
Difficulties if concentrated in this intelligence
Low or absent domain intelligence
Likely favorite labor fit
How others cannot sense their own bodily processes, take actions with medicinals, foods or supplements, keep fit, be coordinated. Difficulty discerning own thoughts from remembered thoughts, planning ahead, time management, past recall.
Little personal responsibility, uncoordinated, accident-prone, intentional neglect of hygiene.
Doctors/surgeons, nurses, pharmacists, dentists and hygenicists, chefs/ cooks, law enforcement, retail and manufacturing line work, drivers, electricians, plumbers, construction workers, agricultural workers, butchers, various hand-crafters of goods, machinists.
Awareness and affinity for others, sociability, high acuity for culture, manners, fashions, relationship modes and methods.
Focuses attention on relationships with others, news and trends; what interpersonal relations are and how people relate.
Initiating conversation, being welcoming for others, interest in others, dynamics and politics of relationships. Sharing, cooperation.
Emotional undercurrents between self and another, self and others, others with others. Dispersed time span, little present time, attention split on interrelationships in past and future. Time sense is weekly.
How others can be unaware of feelings of self and others regarding sociability, culture, fashions, desire, manners; takes action to focus attention here when it may not be wanted and even considered trivial. Often distracted from productive actions into relations.
Cannot make friends or assumes they cannot. Does not initiate conversation, unaware of manners, culture, fashion, others’ desires or motivations.
Counselors, service workers, stylists, fashionistas, bloggers, ministers, parents, campaigners, marketers, trainers, teachers, managers, salespeople, human resources staff, cosmetologists, barbers.
Awareness of language qualities, assigning meaning with symbols, words, expressions; defining and making sense of things in orderly communications; a facileness with words and comprehensions. Eloquent speaker.
Precision of language and punctuation focus, providing the right expression; what meaning from words and texts including lasting emotional impact and establishment of understanding.
Reading, writing, comprehension, assignment of meaning, fluency. Frequently narrating and evaluating meaningfulness of outside-ofself life, even if only internally.
A dimensionality to words/symbols beyond definitions alone, words are dynamic. Time sense is monthly.
How others don’t “get it,” how they do not experience another’s mind from reading or see multiple interpretations; difficulty “dumbing down” own comprehension for others. Feeling separate from others; retreats to reading, writing, observing.
Low literacy or no interest in words/symbols as meanings in life. Possibly more visual (incorporeal intelligence) or auditory (motional intelligence).
Authors, publishers, librarians, teachers, marketers, clerical, literary agents, lawyers, historians, politicians.
Awareness of quantities. Dealing with the language of numbers and symbol placeholders, mathematical dexterity, a propensity to categorize, assemble, network ideas into taxonomies, distribute and partition.
Bringing orderliness, sequence, and logic to patterns, trends, relationships of matter through what mechanisms or disciplines will do this.
Solving mathematical problems, understanding graphs, percentages, fractions and quotients. Documenting and winnowing out facts from emotions.
Imagines the world mathematically, conceptually, maybe even algorithmically, sees beyond flat numbers and equations. Time is “speeded,” sensed as years.
How others can be unaware of vast disorderliness in life. Uncomfortable in disordered environments, feeling “behind” in mathematically mastering life.
Difficulty bringing order and logic, thinks and coverses non-sequentially, comes up with wrong answers to math problems, reads graphs wrong, money problems.
Physicists, coding/programming, statistician, mathematician, scientist, clerks, auditors, financial analysts, investors, data technicians, actuaries, economists, engineers, teachers, house cleaners, business managers.
NATURALISTIC FORMATIONAL INCORPOREAL MOTIONAL ETHICAL
Awareness and inclusion in or of the natural world, understanding of life-cycles and natural processes including weather, seasons, earth phenomenon, plants and animals, symbiosis, planetary and universe forces.
Connecting with animals, plants, weather and seasons, likes the outdoors, is in awe of volcanoes, hurricanes, tornadoes, typhoons, solar winds, magnetic fields, planetary rotations and orbits, star gazing.
Having a “green thumb,” tracking with weather and daily temperatures, interest in life-cycles, predator-prey, forest fire renewal, major and minor forces and cycles.
Sensitive to non-human living things and non-living elements as part of their mind’s domain. Never feels alone because of other nearby plant or animal life and all matter. Time sense is past and future, not present time.
How others are not aware of all that is happening naturally in weather, earth forces, seasons, planets, stars, rivers and oceans as if an extension of self; being “in the now” because self is large and dispersed into the natural world.
Disregard or ill-treatment of animals, plants, unaware of weather, lack of interest in natural processes and symbiosis, dislikes the outdoors.
Awareness of both the physical world and others as both complexities and component simplicities; associating with and structuring or restructuring forms. Concerned with efficiencies and interrelationships of life, physical and metaphysical world.
Sees causation clearly, no matter the number of steps of separation from effect, easily moves into leadership roles, defines mores, organizational charts, architectures, routes, priorities, desires to master environments.
Ablility to see whole scenes and human dynamics in abstraction, creation of forms, models, systems, schemas, regulations, definitions. Constructs geometric forms in mind space.
Might be able to describe what they construct in their own minds as geometric or organic logical forms that they can “see” and “feel” as dimensional, present time sense is fractional, according to clocks and calendars.
How others do not see what is really happening. Prone to over-simplify because others will not understand the whole complexity; or may overly complexify to be more exact and prove their own worth. May annoy with need to address and correct forms and organizations.
Less leading and more following, observer rather than manipulator of forms or systems, low energy to address correction of workflow, doesn’t see inefficiencies, forms of things and is confuses chain-of-command in organizations.
Awareness of dimension, visual-spatial orientation, seen and unseen life force, collecting and storing of raw data and information. Thought origination, creativity.
Awareness of motion and no-motion, energy and wavelengths, oriented to being a kinesthetic, to musical aesthetics, to infinity-scale rather than two-factor logic (right/wrong).
Reason. mindfulness of change and time, giving of attention, curiousity, and control of the interplay of the other intelligences for production of an effect or no-effect.Concerned with achievement, overall survival.
Farmers, conservationists, trade, parks and recreation, animal husbandry, research and practitioners in health sciences, ecology, cosmology, astronomy, biology, geology, meteorology, oceanography and others.
Coordinators and logistics workers, builders, architects, fabricators, mechanics, machinists, user interface/user experience software designers, interior designers, packaging designers, lawyers, data modelers, consultants, inventors.
Principaled, goal setting, creating or appreciating art and visuals. Expressing originality, creativity.
Gamesmanship through sides, rules, fields-of-play, anticipatory moves and also unmaking-of-games by no-opponent, no-field, nullness of rules.
Spontaneously energetic or calm and laid back at will. Expressions are energetic or dull, mimics others easily.
Visual and dimensional arts, information curation, goal design, defining principals, isolating own thoughts as distinct from others. Constructs in mind space highly unique organic forms.
Seeing beyond what is heard or visually known to infer meaning, conclusions from unknowns -- sometimes mystical or extra-perceptional. Sense of infinite time and no-time at all.
How others cannot feel the happiness and abundance at will. Non-understanding of others’ conclusions even while magnanimously granting those others independence.
Unprincipaled, little imagination because does not construct in mind space well, uncreative.
Listening skill, sound and music creation and appreciation, coordination efforts physically or mentally, focusing attention.
Hearing sound distinctions, pauses and no-sound, feeling energy of environment and others and drawing into self or emanating it out. Uses time and aware of tiny increments of present time, past or probable future at will with clear distinction of all three.
How others cannot hear or listen with recall and involve themselves in the energy of sound, even unto physical close-enactment of sounds (dancing), how others are uncoordinated, disengaged in the game of life, won’t quit a game or role once over and move on.
Two-factor logic only -- things are right/wrong, black/white, up/ down, only — cannot switch to infinity-scaled logic with in-between realities; unmusical or only repetitious-beat relational, low energy or hectic but uncoordinated motion.
Visual artist, graphic artist, crafts artists, counselors, philosophers, analysts, data architects, movie and show producers, script writers, actors, quality control, marketers.
Musicians, music producers, game and interface designers, teachers, managers, coaches, athletes, dancers, martial artists, childcare.
Considers penalties and rewards of action and inaction, engages various areas of their other intelligence domains to solve or achieve something. Takes right actions at the right times. Likes to adjudicate, decide things.
Data literacy. Choosing the greatest good for the greatest number. Sees beyond the now to consequences from the interplay of all parts of life, others, the physical world.
Seeing when something is off or wrong, discordant or likely to fail. Seeing corrective actions that will work. Precision sense of time down to minutes, seconds.
How others cannot see when something will do more harm than good, long-term consequences, will others will not act towards achievement and survival but undermine themselves and others.
Misapplication of social mores and misdefines ethics for self only rather than greatest good for the greatest number of channels. Misapplies or neglects intelligences. Immorality, criminality, imperception of consequences.
All management, human resources, lawyers, counselors, ministers, service people, clerks, human resources officers, governance.
Many people are trying to define what humans have for intelligent characteristics that machines do not. Unfortunately, they are mostly people who have no real relationship with technology and it’s every-changing parameters. As technology delves into the realms of biotech and plasma, there is a need to be very specific about what exactly is different, while also being real to people without long discussions about quantum mechanics or algorithms. Those of course must tie back to what life force is, which is back to the other-dimension or single-electron theories, both of which lead to the same overall conclusions about intelligence. Life is still trying to survive.
Here is a summary framing why certain characteristics are above machine intelligence, with more detail in the following chapter. The “why” is critical if we are going to cause more of these human traits.
Keep in mind as you review these that the human mind thinks first with time, the only constant-inconstant. This is a major underpinning of how humans are different.
Creativity could be said to be first bringing some shapeless open-mindedness, throwing some chaos into a mental construct, and then generating something new.
Machines can also be generative of new ideas, but they are not able to do so to the degree of shapelessness that life-force can, which can enter matter to change it. Life is in you; it is also tethered to or lying dormant in a seed you plant deep in the ground that when watered and given sunshine rearranges dirt to build a tree.
Another way to say this is that humans are chaos-bringers first before redesigning something. Without pointing out the existing chaos of governments, poverty, misery and generally bad conditions because anyone can see those for themselves, let’s just say that humans do indeed create chaos. Or maybe we could say they create randomness. They break up the routine and immobility of raw matter, rocks, air and water spinning through space on giant round balls called planets. They get in and make something out of things, quarrying stone and chopping down trees, and then erecting buildings and growing gardens and being very busy.
Humans even build omnidirectional chaos intentionally. The internet, free speech, freedom of movement, freedom of affiliation, and freedom of religion are indications humans create
chaos for the greater expansion of humanity. History is a strong indication that we need chaos and unexplored terrains, not total order and domination dictated from one viewpoint. The behavior of other life forms in swarming like bees, procreating rapidly like rabbits, entering our human bodies as parasites and other invasiveness into the physical universe is very telling. Chaos creation is an aspect of life trying to take over the physical world and wrestle it into what it wants. Life is creative.
Another aspect of life being creative is that life takes any shape, as if it is itself shapeless, and fills any space the way water will fill any container. Lower forms of life like amoeba appear to take the simplest of shapes and behave like playdough or a soap bubble, able to change shape and move around without legs. A study titled “Evidence of conditioned behavior in amoebae” demonstrates that amoebae can modify their movement in response to external stimuli, effectively moving away from threats.15
In that experiment, researchers used a controlled direct-current electric field as a conditioned stimulus and a specific chemical as an unconditioned stimulus. The amoebae were capable of associating these two independent past events, leading to persistent locomotion movements that lasted for an average of forty-four minutes. This indicates that tiny and brainless amoebae can learn to move away from certain stimuli perceived as threats.
Does all of life do this? Humans sure appear to move away from perceived individual threats, but do we as a body, or at least large percentages of populations, also do the same thing?
If in an unthreatening environment, do we just flourish and takeover and grow?
Observation of individuals would say yes. Observation of humans in sub-optimal conditions lacking food and other means appear to have more babies than cultures more advanced with their lower hierarchies of need taken care of. Insufficiently feeding cattle also causes higher fertility. Higher human cultures move on to invent things and conquer other aspects of life, like they’re intent on straightening out everything about everything and moving even higher. Those remaining in sub-optimal environmental conditions, solve by volume of new lives thrown at their persistent problem. It would seem the mental computation is to throw at the problem of living sub-optimally even more living, eventually rising to another frontier and then one above that and so forth.
More advanced cultures hunger for different sorts of chaos to feed them. They create a different sort of chaos with different sorts of discontent.
It could be said that chaos enablement is life, enablement because it draws life’s attention and energies. Total chaos also creates death. The difference is in the degree.
Hand in hand with creativity is Free Will. Free will means we can change our mind for no reason. We can operate with no rules at all.
Humans act as individual units of consciousness interacting with life from their own experience and personality. Apparently the more individual they perceive themselves, distinct from others, the more intelligent and able they are in life. We call this confidence or will. It is stronger the more individual the person feels. Free will is best defined as the ability to be just one individual, yourself.
Free will is a quality science cannot account for, cannot make a model to represent. Free will is unpredictable.16
When human minds are confused with the intentions of others, with other’s opinions and
pmc.ncbi.nlm.nih.gov/articles/PMC6695432/?utm_source=chatgpt.com
data, it derails making their own determinations, their free will. They can then fail in some way as individuals because they are internalizing outside influence and subverting their own confidence and will. They are subverting the unpredictability that helps define life and possibly the enjoyment of the experience of life.
Since there are already indications that human consciousness is an aggregate dominion over a single body, as mentioned earlier in the section on “consciousness seniorities,” why could there not be a new level of human hive-like consciousness over multiple unconnected bodies, just as there appears to be in some animals and in the sub-minds of bodies? Well, that is a tricky question.
It comes down to the human characteristic of free will.
It is the same question as asking why we can’t control a pile of large boulders with our minds or use the “force” and throw them about like Rey in the Star Wars Last Jedi. Scientists only recently discovered a rock at the bottom of the Pacific ocean that can make oxygen in the dark, upending centuries of scientific belief — so maybe even rocks are somewhat life-imbued.
Perhaps we can be a Jedi. The only barrier would be how free our own will is versus being encumbered by the will of others, as well as being a singular human — which is essentially saying the same thing.
It’s easy to think that lies and propaganda and intentions of others are just ideas, right? Yes, for the mind wellarmed to see all extra-limital ideas (generated other than by self) as in fact extra-limital, all ideas coming in could be made harmless. However, we do not survive alone as babies and become highly dependent early in life on caregivers and later many authority figures. We sacrifice our will intentionally as a calculated effort towards our survival. This adoption of other’s ideas is extremely hard for people to let go of as it hardwires the perimeter of our thoughts and builds the architecture of our minds. Our minds become entangled.
Possibly, the mechanics of what happens is the internal assignment of a seniority in some area of thought to another, making the seniority of this particular human mind now not senior in some respects. That is the pure definition of weakening and possibly subservience.
“Dark oxygen” discovery upends centuries of scientific beliefs, textbooks to be rewritten
earth.com/news/dark-oxygendiscovery-deep-ocean-rocksupends-centuries-of-scientificbeliefs
Picture a mind incapable of pure calculation, always coming up with wrong answers because of hardened nodes it cannot circumvent. It is not arriving at higher level of networked superconsciousness above the individual human that might be useful to find a job AI cannot do. Instead, it is an agreement with common ideas, a construct of togetherness, a reality which may hold a lot of untruths. These mechanics establish stagnancy eventually, and irrationality. Total agreement with others’ realities could be defined as total thoughtlessness because all the thoughts are others’ thoughts. The mind becomes an immobile “watcher” of the mechanics of others’ thoughts interacting with each other. Innovation by the original senior consciousness is nullified.
This means that “becoming one with” others is the opposite of making life more of a force forward. Agreement amongst ourselves, although mostly self-evidently good, is nevertheless our eventual jailor. This is true from the pyramidical-bureaucratic scheme of consciousness evident in either the life-force idea or the “you are an electron” idea. What would be necessary is a fluid super-seniority-consciousness, not a melding into “one.” There have been attempts at “melding into one” the tiniest particles of matter at the Hadron Collider and others on Earth, but what gets produced instead is bursts of energy and new particles. Plus pride in naming smaller neutral currents and the even tinier particles.
16Source: Proceedings of the National Academy of Sciences (PNAS) on Free Will. pnas.org/doi/10.1073/pnas.1010609107
The failures to “meld” matter and life-forms into singular units is a lesson on many levels — including socially and culturally. It may be the entirely wrong direction.
Until we backwards engineer where the ideas from different groups and their frameworks came from, and project their evolution towards some end, we cannot know, for example, that mixing of cultures is “good” because we are potentially collapsing two or more experiments of life. It might be we are trying to cross a banana with a chicken, and in the process we are subverting an eventual world where bananas support every nutritional need and never go bad, and chickens lay eggs the size of cars. We don’t know. We just want to mimic what matter itself does and that is to clump together, as scientists discovered long ago and talk about endlessly as “dark matter” establishing the clumptogether effect and acting as the scaffolding for visible matter and gravity to form galaxies and larger structures — the Big Crunch.
We could instead at least try to see what happens when we go in the opposite direction. In terms of our creativity, that would mean education which does not indoctrinate but involves students in direct observation and drawing their own conclusions.
Creativity is an enormous weapon against any AI takeover. It means there is a strong indication that we will always break out of being made to become too regimented, mere cogs. We will always fight any overly strict bonds. We have an urge to bring order but not to be it, to permanently become a thing, mindless, experiencing a nominal, narrowly boxed run at life with no way to dream. Our essence as a non-thing trying to be a thing, our ability to actually become any form of matter and any space, may in fact be the very definition of “dream.” Being a non-thing is what makes us creative, drives our need for identity, gets us into all sorts of wonders and troubles.
It is for this reason that an AI singularity, a central machine mind creating a complete authoritarian dominance, would be doomed to entropy and loss of its life-force slaves as soon as it suppresses enough of the available life force, which need not be embodied in humans only. There is no predicting how life would retaliate if it has no avenue for expansion.
You might think it strange that an earlier chapter noted that humans are machines in certain ways, and now there is this other opposing thought that they are creative chaos and randomness. Study again the elements of thinking and it will become clear. It is we humans that are a threat to AI.
Humans can learn and in so doing, are changing their mind. Cognition is an action being taken. The person now “knows” something. Knowing things changes thinking fundamentally. Machines cannot change their fundamental rules, although they can program themselves limitedly. Only when they are allowed to change their own programmed rules will they be considered sentient.
Just like occupying the body, learning is apparently the imbuing of some of one’s life force into information one is trying to learn. We call that putting attention on it. Another way to describe how we gain knowledge is that the human mind “occupies” the information and “owns it,” so to speak. This is particularly true of environments, which humans can recall with dimension and not just as flat images. Possibly the invisible life force is extending out beyond the body to fill spaces metaphysically. This seems probable given the “other dimension” theory and observations of life force occupying many different forms already. The opposing singleelectron with consciousness seniority theory might be using quantum entanglement for the same capability.
To “own” information would obviously be easily interfered with if the learner sees emphasis on the fact that someone else really owns it. Their
willingness to be the new or co-owner may be inhibited merely because they think that someone else is doing a fine job and has it covered so they themselves really don’t need to own it.
One could say that above learning is knowing. Knowing is apparently a perpetual state of awareness that needs no description or recall of specifics that led to the knowing. Given the main human mathematical function, it might be possible to reach knowing immediately without formality, with no instruction at all. Knowing without data could be by deciding to be in a wide-open state of encompassing all elements and all life force and not at the moment being only a unit of life force – knowing by being. Conversely, the quantum theory of entanglement could help explain how a single electron exactly duplicates data to the point of knowing it even from a distance.
Other cognitive psychology concepts like surface learning vs. deep learning and contextdependent memory are explained better through understanding consciousness seniorities and life force or single-electron quantum entanglement.
Surface or shallow learning gets data by copying another’s ideas and making a nonpermanent tag. This happens because students grant teachers seniority-of-consciousness to “write to” their minds. It’s memorization and mimicry like parrots do and doesn’t mean the data is really learned. Surface learning is a file that the student considers is the teacher’s creation and metaphysically links the tag to the source teacher, so they don’t have to give it any of their own life-force energy or true attention. To recall the piece of surface learning, the student imagines again the teacher and setting to “blow up” the copy in the act of recall. Recalling just as themselves, disassociated from the teacher or setting, is hard because it is not theirs. If knowledge isn’t internalized, it remains externally referenced, much like a cloud storage system.
Deep permanent learning is real knowledge per the “cognitive load theory.” This learning retains consciousness seniority and “occupies” data with one’s own life-force by sweeping attention over it, going “into” data or a space or matter itself, or doing an action with the data. These build in mind-space a duplicate energized form and keep it permanently by tying off that bit of life-force as one would twist a ballon to have a sub-part when making balloon animals. The thought and knowledge is now a permanent part of the student’s “me.”
The difference is not easy to detect, but surface learning is context-dependent and so rarely retained because copies “belong” to someone else, whereas deep learning goes with you everywhere. Distance and time passing cause surface learning to “disappear,” but sometimes it can be recalled by encountering the person or place that was the source of data. That’s what psychologists call “context-memory.” Proximity and reconnection has the apparency of the space or other person re-energizing the shallow learning memory but in reality you energize it and expand it into conscious awareness because you give back seniority of your own life energy to the other person or space associated with that condensed thought. This means during student testing every teacher should be in the room with students as they test. Familiar rooms will also equate to higher recall.
Conscientiousness is a quality of wanting to work and do one’s duty. It’s the wanting to do it that makes us human because that wanting, combined with the human natural desire to bring order then manifests into being organized, methodical, and diligent in approach to tasks and responsibilities. Machines don’t have a quality of wanting; they have electricity and software code.
Conscientiousness is not exactly opposite of creativity, but it is close. It is just orderliness versus creativity’s willing chaos creation in order to bring some new order.
Conscientiousness as a personality trait describes a strong preference for maintaining structure, neatness, and precision in various aspects of life, often manifesting as a desire to keep things organized, systematic, and in their proper place, with individuals high in orderliness finding
Conscientiousness is not exactly opposite of creativity, but it is close. It is just orderliness versus creativity’s willing chaos creation in order to bring some new order.
satisfaction in well-defined routines and clear systems to manage their environment efficiently. Humans bring orderliness to be conscientious two different ways:
One mirrors the structure of matter in the physical universe, which is interlocking like crystals and pyramidical or tree-branching. This orderliness is patterned and leads to large pyramidical bureaucracies and is most like machines but on the human side.
The other is loose and free flowing like how air, clouds and water behave, although at the molecular level, those are still interlocking matter. This loose, free-flowing order is not something we think a lot about when it comes to how we live and therefore what we need, or how to use it as an answer to building our future.
Note that the height of free will, a super-seniority consciousness across humans, would by definition be more than one unit body. It also may not need a body at all. It would by definition have to be free of too many assignments of seniority outside itself and agreements as to what was “real.” It would be free will in the truest sense of both free and will — what we like to say is a “born leader.” There is some science that indicates this is possible for one human to effect through wavelengths because a large number of people in grief at a funeral will often effect grief in people attending who have no real reason to go into deep levels of grief.
It is probable that attaining any level of consciousness seniority is extending one’s life force for others, which is an active sort of reaching out and imbuing more life rather than shrinking in or melding with other life. It would be an expansive feeling, a feeling of overlapping others so as to assist. It would be what humans call love. It would be a persisting affinity and admiration. Again, this is the opposite of “becoming one with” others, but it may have something to do with frequencies and resonance.
To attain a super-seniority-consciousness, even if it were over just large groups in a loose aggregate and not all of humanity, would take an amazing individual emanating love and admiration.
Let’s take another side view of the seniority nature of consciousness because it explains dreams.
Humans and possibly other animals like dogs, dream. Dreaming appears to be a withdrawal of the life force to a sort of distance, that other dimension perhaps. Dreams are a life-units busy work creating hypotheticals or playing with memories. At the same time, the senior life-force occupying the body lets go of the body to a degree, allowing it to be in a state of less control for a while. Allowing it to relax. Allowing lower life units in cells to have some breathing room without the boss around. Medical science has proven that when humans sleep deeply, their bodies heal faster and seem to run processes similarly to a computer running a refactoring or doing a refresh of software. In addition, the majority of human body growth occurs during sleep, primarily because the body releases the majority of its growth hormone during deep sleep stages, which is crucial for development and tissue repair.
The fact that life appears to reach and withdraw into bodies like the ocean tides going in and out, appears to allow the lower units of cells to “reset” or heal, there is a possible lesson for human organizations.
Dreaming has another corollary to research that could shed more light on human nature and world sciences as well. Life force appears to reach and withdraw in a routine way, waking and sleeping, eating and becoming energetic before losing energy and being hungry again, living and dying being the largest loop of reaching and withdrawing of life force units. Other major universe processes like the seasons, magnetic fields, and
heavenly body rotations appear to be similar actions. The disruption of these larger scale processes may kill larger scale things no differently than a human deprived of sleep or food may die. This may be a key to understanding “evolution,” which doesn’t happen in real time but over centuries and could be a result of death remembered at the genetic level somehow.
This fact that we dream, that we reach and withdraw our life force is a factor that leads to our conscientiousness.
Being conscientious is being consciously ethical, and is the application of the main algorithm that defines critical thinking. The ethical intelligence of any one individual is their ability to withhold from decision or action, which rests on not thinking versus thinking. Not thinking allows the mind to reason by holding part of the mind in static state while potentially other parts are processing. AI is not currently up to being able to refrain from being on and does not withhold from generation of decisions and actions at will.
This singularly important ability of not-thinking means the individual mind can decide not to do something, which is the simplest definition of ethics and therefore conscientiousness. It means the human mind is contemplative about repercussions. If ethical intelligence is low, critical thinking will be low. Reasoning will be sluggish or lacking. Since the ethical intelligence is the mind’s core processor.
The ability to not-think is also the difference-maker between good and evil. A criminal does not withhold themselves but goes ahead and causes harm.
This ability is also employed to not even see barriers, and in this respect, it is a skill of selectivity or non-engagement that keeps the mind clear or that “batch processes” only some of what’s being perceived at a time just like machines do batches of data processing. Without this skill a mind would be overwhelmed easily but instead appears to have a native threshold over which it does not go or uses unconsciousness (leaves) or scant attention when under physical duress.
Like not-thinking, selectivity is what the individual is doing intentionally to keep themselves at some level of life and not another, perhaps a level of living that they think has just enough challenge. Their choices in how they bracket their living experience help define their level of ethics.
Part of being conscientious is the ability to suspend critical thinking. Humans can go on trust, faith or confidence alone to sustain a mental construct of what they want to have happen. It may be a dream they have to open a donut shop, and they spend hours imagining the machines in the shop, the decorations on the walls, the look of pink-frosted donuts spread enticingly in a glass cabinet for customers. It changes and mutates. Actions in the real world are non-existent or spasmodic. Yet the person believes in this as something in the future that may happen. Belief and dreams may be what does make things happen via mechanisms of life itself that are little understood.
AI does not have a mechanism to hold continuously ill-defined dreams because it is built to create definitive final outputs. It can give advices on how to incorporate, how to find a building, it could write marketing and run the account books, but it won’t feel a smile and imagine the smell of coffee wafting out the door of the shop.
Many religious people cite prayer or meditation, often the act of explicitly naming desires and goals for themselves or others, as causing actions to occur in the physical world. They say they have seen and lived having their prayers answered. Non-religious people consciously or unconsciously make wishes and dreams all the time as well. Many go through life believing things that build their path forward minute-by-minute without their conscious thought.
That’s suspended critical thinking.
The mechanism of a vacuum is what causes curiosity. It’s a nothing-therewhen-thereshould-be idea.
Here’s a theory of how dreaming and having belief may in fact be what causes reality:
Consider life-force units, the human individual mind, are static with no-motion and no-substance, invisible, but with a positive charge, and there is an opposing entity of “allmotion” negatively charged. That’s like being an appliance plugged in to get electricity from some central electrical plant. The “all motion” may well be a deity, an invisible kinetic force that is spoken of religiously as “omniscient and omnipotent,” all-knowing and unlimitedly powerful. We don’t know if it is always one type of energy for the lifeforce unit and the all-motion unit, or it both are a scale of wavelengths. Like emotions, some could feel heavy and negative, others could feel expansive and joyful.
It is the fact of oppositional electrical potential which may actually form the framework and be all of life and everything that happens in the physical universe.
You could say the all-motion entity indicated via the mathematics is the “aether,” the historical “quintessence” and fifth element. Or you could call it the “Force” of Star Wars fame. If you are religious, you already know what you call it.
The difference in distribution across the great space of our universe of positively charged individual life-force units with a negatively charged all-motion entity, would result in an electrical potential difference between any two points.
In electricity, “potential” represents a stored energy already there in the field, ready to do work. It is a concrete physical quantity measured in volts. For an individual human lifeforce unit, that potential is always there and has actual force that would act on any actual physical object and other life-force human units living in the same physical universe if it were instigated by stringing a conductive line between the negative and positive and giving it the parameters of grounding. Potentially a human life force unit, formulating an idea in their own mind and adding more and more construct to it, is what is grounding the two opposite charges and creating a safe pathway for excess electricity to discharge into reality, forming actions and matter. Maybe that’s what all of thought is — the design studio of reality. Perhaps this is how prayer works, or our will, or firm decisions and dreams. Perhaps this is the creation of all of life’s action.
In terms of creating a human singularity, this ability to create unlimited action could be an interesting part of mankind’s mindfulness no matter what your belief system.
The mechanism of a vacuum is what causes curiosity. It’s a nothing-there-when-thereshould-be idea. The intelligent human mind apparently abhors a vacuum of any kind and, if finding something unknown, will usually rush to find out. If there is no way to do so, the mind will fill it in with imaginary data.
AI does have the ability to do this, but only when it knows there is no data there and it needs to be put there. It will not write over existing data without a specialized program that knows it is coincidentally erasing what was already there. The human mind may be only missing information that does exist somewhere but cannot wait to find it. It has to do something to manage the curiosity instantly. This uncontrollable urge is also the genesis of creative imagination.
The act of using our imagination to fill in a void frequently goes on when we know only a fraction of what happened from some gossip hint or some partial script or movie without the full plot. We will naturally sketch out what we think is the story from scant data. The only other options are ignore it using our ability to withhold and not-think, and even then we mask it with some overriding label and withhold investigation to fill the vacuum for a reason. We always at least stick a label on it. Sometimes this “masking” is what we do when we are being loyal and non-judgmental, a more ethical thing to do actually than make up the whole story of things. This can be like making an allowance for a loved one without all the facts after becoming aware of a mishap. “Well, it’s my brother so he didn’t do the crime.” It can also be labeling an unknown as “unknowable” to shut off curiosity.
We stay uncurious by masking and labeling vacuums all the time like saying to oneself things like “I’m just not a math person,” and thereby cutting off any route to knowledge from the subject of math.
The only reason our minds would do this is having been taught it could not be curious about something. It might be “not cool,” or a teacher could present the subject without first clarifying complex new words or symbols and so creating a prohibitive cloud of confusion that closes the minds door. Or it’s frankly vastly boring or in a form modern kids aren’t used to. Another way would be to give the mind too much all at once with no stair-steps to understanding. Another way would be to let the mind struggle along too long with wrongly understood foundational words and concepts. The mind could have also been taught to “stay in its lane” with overwhelming distractions such as television and social media. It may also be that the instigation of curiosity and imagination is the clean presentment of a vacuum. Pristine wilderness has long called to human minds as something to be explored, mapped, conquered, owned.
The reason a vacuum causes curiosity is that it so closely resembles life itself, which is a naked nothing, invisible and a “zero” of mass, just like a vacuum. Life’s urge to survive or continue is not just as self, but for the whole of everything. Encountering a vacuum is like a missing puzzle piece to a human being — it’s an embarrassing hole in the matrix indicating they are inadequately “covering” that area and failing at surviving.
Good teaching, then, could be subject areas offered simply with an initial goal for the mind to “fill in.” Breadcrumbs or frameworks but not the whole information. Straight up just telling of information would be a way to “close the door” to curiosity.
Lack of natural curiosity is not evidence of no, low or undeveloped intelligence. It is the mind withholding itself from contemplation of a subject or exploration — which may be a hindrance put there for a reason by the ethical intelligence.
Humans are emotional, which is apparently the use of different energy wavelengths, different motions. Emotions and motion are useful in human communication. Machines can emit music and do effect human emotions, but not in an interplay of the same wavelengths currently.
Matching wavelengths appears to be antecedent to being in communication with each other, being in sympathetic “vibration” with others. This may also be foundational to cultures and disrupted by more course wavelengths by machines. Disruption by wireless signals and radio waves have already been proven to disorient and negatively affect bees and birds.
Sympathetic vibration for humans can be emotion experienced when around a large group of grieving people and feeling grief oneself, or being around drunk people, and even though you are not drinking, you feel fuzzy headed anyway, and joyous or at least well content around many young children at play, if one likes children. Humans are like tuning forks and will copy others vibrational wavelength, their emotion, easily.17
This tendency has also been called “mob mentality” when a large group of people become emotional and violent and the mentality “spreads” in the group through the wavelength acting like a tuning fork and getting additional people riled up.
Emotion is apparently tied to actual motional wavelengths. Telekinesis and telepathy may be another part of emotions, other feats of metaphysical ability in communication. Both areas have decades-old scientific studies that have been largely ignored and could lead to leaps in human skills that have become widely accepted and utilized for the gain of everything. Everything as in not just humans.
Humans are emotional, which is apparently the use of different energy wavelengths, different motions. Emotions and motion are useful in human communication.
17Source: Telepathic Research. pmc.ncbi.nlm.nih.gov/articles/PMC3144613/#:~:text=A%20functional%20MRI%20study%20on,correlates%20of%20telepathy%20in%20Mr.
If you have ever watched a flock of birds in flight swoop and twirl almost as one unit, an action called a murmuration, you saw what life can do. Another example is a school of fish swimming together, each its own unit but operating nearly as one entity in fast motion. Such sights imply some connection factor amongst all the individuals so lightning fast that it defies understanding and is doubtable a point-to-point communication or solely eyebody coordination.
Humans have the same capacities as our lesser animal brethren. It makes no logical sense that we would not. All the evidence points to a more developed capacity for intelligence which by definition would not remove things of lower intelligence.
To grasp the goal of a human singularity and why we would even need to amplify human intelligence as an urgent duty, you must ask yourself: what if we gained the ability to operate with great synchronicity beyond just a few dozen humans doing things like dancing and singing harmoniously and into many thousands or millions at once mentally and physically exerting some effort? Not as a “melding” or losing one’s identity, but overlapping? Is it possible to create symmetries of actions, or asymmetries that result in a new whole?
It is. We do it already, we are just not aware we are doing it, and we’re not perfecting it. Our cultures, our wakeful and sleep cycles, our languages, our electrical and goods distribution networks, our cities, our governments, are all manifestations of the impulse to flock like birds, to school like fish. In effect, to survive as small and large groups in common motion towards something.
Perhaps a lack of a single or many human singularities has been a lack of goal setting by our senior-most leaders. Recall that in the heyday of the sputnik era and space race to the moon, entire nations were energized and the entire world joined into the enthusiasm of the race. For a brief moment we had leaders investing in mankind-wide goals.
Right now, the largest synchronicity on planet earth is esports tournament games online. Bostrom hypothesized that “(If a) large fraction of the population has cognitive capacities more than two standard deviations above the current human maximum,” a parity could be achieved with AI.
pnas.org/doi/10.1073/ pnas.1718793115
I believe he meant for more to happen than just to have a lot more really smart people. A human singularity only has that as its base necessity. There would need to be some sort of community.
Reaching the “large fraction” of humanity having high IQ is like all the human life-force on Earth developing into more than it’s individual human being units, having more than a hive mind like ants, and instead having a super-brain. A human singularity is the human equivalent of an AI singularity.
The research identified top maximum at 160+ IQ and the target IQ human singularity force is 140-150,000 with IQ’s of 190+. Right now there is only about eight people on earth with that level of IQ or higher.
It is also possible that just one human singular unit mind could achieve parity with the most tricked out AI if that one mind were to reach a high enough IQ. That one mind could utilize a new level of consciousness seniority over other human minds to align them into thought actions in the same way a network of supercomputers do with AI. We asked ChatGPT “what evidence there is that that human minds could be thought networked?”
Interestingly, American IQ’s rose in the past century by 30 points, about 3 points per decade up until 2020. This has been called the “Flynn Effect.” That is one full standard deviation increase per 40-year period.
Somehow the environment and people of America were not just growing in population but expanding together in intelligence. Imagine if we figured out truthfully why and then accelerated that effect.
Since 2020, researchers across the world, including in America, have been tracking an apparent decline in human IQs. The research indicates quite boldly that this is a result of mass immigration causing of erosion of IQs within longitudinally tracked intra-family testing. Immigration created a suppressed environment, probably in various surprising ways for the existing population and the immigrants. The research also directly inferred that the large numbers of far lower IQ humans immigrating into existing higher IQ communities had a direct correlation to lowering the existing populations’ IQ growth — while having nothing to do with an immigrants race. In other words, the research contended that it was the mere stirring together of peoples unused to each other that created a confusing suppressant effect.
This means things will settle out and we could go back to having the Flynn Effect and engineer mass IQ increase if we treated communities like geographic zones of organic life force growth and viewed culture perhaps like we do a hive of bees versus a hive of hornets, each as one entity made up of many individuals. This seems entirely in line with the “super-seniority-consciousness” idea, the possibility that a specific community in high alignment will evolve. It’s not polite to mention race, but we have been mixing for so long that we may have missed a key inflection point that might have made every race and every outcome worldwide much better. Like branches on separate trees leafing out in springtime but together creating a forest ecosystem.
It’s really not such a radical idea because every individual human has a difference in their concentration areas of the multi-intelligences. Some are math nerds, others are athletic, and there are probably concentration equivalents at a higher harmonic across races.
It is already obvious we have created an environmental suppressor for whole areas of intelligence stronger in certain races while favoring others because we have been so busy not noticing all nine areas of intelligence. There is a potential for all IQs to be raised.
Even better, we could identify enough people of gifted status already and increase their IQ by two standard deviations by creating the right conditions.
What we need to achieve are these targets:
✔ New IQ tests and “look-fors” in the other areas of intelligence which have largely been neglected in all IQ tests.
The current testing arenas are these and they will all need to be reconsidered alongside the addition of the other arenas:
Memory Math Skill
Reasoning
Processing speed
Language, vocabulary
Visual-spatial processing
New testing arenas needed:
Emotional responses against a normed hierarchical list
Sociability
Natural sensibilities
Formational faculties
Incorporeal awareness
Motional awareness including gamesmanship
Ethical sense including data literacy
Time sense
✔ Incentivization nationally to test.
✔ Institute in all communities an opportunity to nominate an individual who could be working to increase their IQ as a second wave.
✔ Education curriculum aimed at IQ increase across all nine areas of human intelligence.
Being a new “brain” for humanity might not sound all that glamorous, but it should. We’ve only had things like Nobel prizes and no coalition formed, really. Ideally these people would be cloistered and guarded, given mutual environments that nurture higher IQ. They would also be challenged with a lot of things to solve and so would need to have a cadre of helpers. They could not all come from academia but should arrive from all fields and any ethnicity. There would need to be some mechanism of cross-communication between international groups and sub-groups of particular intelligence area concentrations.
These individuals would need to be on some permanent pay and prohibited from working in government, but would hold credentials to review any and all public or private science, manufacturing, system, or community at will. This would include any AI. This is so that they could provide a level of practice ethics and intellectual policing and could not be bought off, harmed or sued. They would advise governments and the whole world. They would have to, of course, also be responsible and sane and they would age out as soon as natural cognitive decline started.
Humanity has always been very poor at sorting out the insane, criminals and anti-humans from the remainder just trying to get along. It’s not that we don’t want to have empathy for the tribulations of others that “made” them criminal, it’s that we have to get the broken ones out of the way of the rest.
It would be great if the job of the Human Singularity (HS) would be to root out the hidden bad actors with too much power who are perverting the growth of humanity, challenge the monopolistic operations, put a spotlight on the deviations in governing causing more harm than good, figure out the big miscalculations that have led to illness rather than health, basically all the inception points and actions leading the greater volume of humanity into grief and struggle. The HS should work to manifest their own expansion of intelligence continually and to lead both directly with pronouncements and indirectly through channels, leading to law or rescinding law.
The HS should have the space to dream of good health and joy for their sector and the world. They should get out and look and listen and care. To build the true HS will mean each member feels a sense of ownership, an ambassador of all humans leading humanity forward.
These individuals would be admired and given celebrity for intelligence.
The chief address to the Ethical Mind, the part of the human mind giving attention, being curious, and controlling the interplay of the other intelligences, the “reasoning” mind, is often overlooked. We think we address it by discussing morals or critical thinking, but both of those are products of being ethically intelligent.
How do we engage the activity of the mind’s control mechanism? Make it engage the other intelligences?
The issue is data literacy, which is different than language or mathematical-logic literacy. Data literacy is a sort of pre-logic. It has to do with being able to see error points and positives of data in order to reason.
Considering the information already researched, data literacy is the action of assigning data meaning as a negative or positive. It’s part of applying the main algorithm that dissects life and the physical universe into parts for counting effects, each positive a one (1) and negative a zero (0) or (-1). A comprehensive list of how this could be done was created by Learning Counsel from multiple sources on the next pages from these sources:
• Data Quality & Management
o DAMA DMBOK (Data Management Body of Knowledge)
o ISO 8000 (Data Quality Standards)
o MIT’s Total Data Quality Management (TDQM)
• Information Theory & Epistemology
o Karl Popper’s falsifiability principles
o Claude Shannon’s Information Theory
o Logical fallacies and cognitive bias literature
• Cybersecurity & Misinformation Research
o OWASP (Open Web Application Security Project)
o Research on disinformation (RAND Corporation, Berkman Klein Center)
• Machine Learning & AI Ethics
o Fairness, Accountability, and Transparency in Machine Learning (FATML)
o Google’s AI Principles
o EU AI Act guidelines on trustworthy AI
• Education & Pedagogy
o Bloom’s Taxonomy (for structured knowledge assessment)
o Constructivist learning theories (Piaget, Vygotsky)
Educating humans on the values of data literacy means they will be able to reason. They can define right and wrong. Roughly, errors and positives then operate much like machines do with a thinking base of zeros and ones. Each of the positives and errors are defined by anyone’s common sense.
1. Altered Sequence – Data presented in an incorrect order.
2. Added Time – Additional, unverified timestamps introduced.
3. Dropped Time – Missing or removed timestamps.
4. Omitted Point – Key data points missing.
5. Falsehood – Inclusion of incorrect or misleading information.
6. Altered Importance – Distorted weight given to certain data.
7. No or Wrong Goal – Data misaligned with its intended purpose.
8. Surface Explanation Only – Lack of depth in interpretation.
9. Bad Source – Unreliable or biased data origin.
10. Contrary Facts – Conflicting information within the dataset.
11. Wrong Definition(s) – Incorrect terminology or conceptual errors.
12. Other Intention(s) – Data used for unintended purposes.
13. Missed Conclusion – Lack of logical synthesis from data.
14. Missed Step – Skipping crucial analytical steps.
15. Misplaced or Added Inapplicable Information – Irrelevant data inclusion.
16. Wrong Topic/Subject Area – Data attributed to an incorrect domain.
17. Substituted Information – Replaced facts without verification.
18. Wrong Application – Misuse of data in analysis or decision-making.
19. Partial Application – Selective usage, leading to bias.
20. Overevaluation – Overstated significance of data.
21. Wrong Form – Inaccurate data structure or representation.
22. Wrong Motion – Incorrect process flow in data handling.
Data positive points:
23. Correctly Sequenced Facts – Logical and chronological order maintained.
24. All Related Facts Known – Comprehensive dataset available.
25. On-time or Correctly Timed – Proper timestamps assigned.
26. Factual/Proofs – Data is verifiable and evidence-based.
27. Contextualized Importance – Relevant weight given to data points.
28. Adequate Information – Sufficient data for accurate conclusions.
29. Right Goal – Data aligns with intended objectives.
30. Right Source – Reliable and validated data origins.
31. Right Topic/Subject Area – Data correctly categorized.
32. All Steps Completed – No gaps in analytical processes.
33. Applicable Information – Data relevance ensured.
34. Data in the Same Classification – Consistency in grouping.
35. Facts About Identities Are Identical (Identification Correct) –No mismatches in identity-based data.
36. Things That Are About Similarities Are Similar – Logical consistency.
37. Differences Are Different (Differentiation) – Proper distinction in data.
38. Creative/Additional Information – Enhances understanding without distortion.
39. Unexpected Application – Innovative but valid data usage.
40. Nothing Wrong – No identifiable data issues.
41. Right Form – Proper data structuring.
42. Right Motion – Correct handling and process flow.
Example:
A teacher’s report showed students completed a worksheet online, but the missing time marker in the system meant that the teacher couldn’t assign a grade because it was work to be graded based on how much time it took each student.
Errors:
dropped time — no time notation meant the work couldn’t be graded. omitted point — the point was to see how much a student could get done in an amount of time. no or wrong goal — the system showed that the worksheet was done, but that was not the only goal. missed conclusion — the ability to conclude the effort of the students with a grade is missing.
partial application — only the fact of the worksheets being completed was shown in the system and not the time in which it was completed per each student.
Positives:
applicable information — there was a notation of the students having completed the worksheet.
Example:
Many students answered a history question with a correct multiple-choice answer. The teacher held a brief discussion with one student that normally did not like being called on in front of the whole class to go over each other possible answer and why the student did not choose those because the teacher wanted to highlight the student’s brilliance to make them less shy. The teacher expressed reasoning for each of the other answers as being potentially the right one and had the student say why they were not from other facts. The student became less enthusiastic about the whole subject.
Errors:
overevaluation — the teacher called into question the student’s ability to choose correctly by putting their attention on wrong answers and forcing the student to detail all their logic, which had the effect of the student’s mind having to do something similar to a frame-by-frame review of their mental processes in slow motion, which served to introvert and reduce cognition. wrong application — by applying the “Socratic method” of questioning the student after the student had already had a correct conclusion, the teacher was not causing critical thinking. Instead, the wrong application of method caused a dissociation with the subject. (The Socratic Method is one of inquiry that involves asking a series of open-ended questions to guide someone towards deeper understanding of a topic by uncovering their own assumptions, reasoning, and potential contradictions within their thinking, essentially prompting critical self-reflection; named after the Greek philosopher Socrates who famously used this approach in his dialogues.) other intentions — by calling out a shy student for a discussion in front of the whole class, the teacher may have had the intention to bring the student out of their shyness. However, the tactic had a negative effect on subject interest and might have depressed academic achievement long-term.
Positives:
differences are different (differentiation) — the teacher did cause a reflective inspection of each potential multiple-choice answer and have the student defend with other facts.
right goal — it could be said the goal of bringing the one student out of their shyness in a demonstration of how bright they are is a right goal.
In this last example there are three errors and two positives. It appears that “wrong application” as an error stands in contrast to “differences are different (differentiation)” and the two would essentially cancel themselves out. The “other intentions” and “right goal” are tricky but also appear to cancel each other out. That leaves one remaining error — so this action could be said to have been an error to do.
This is how the mind reasons.
Based on the analysis of our human abilities, these are the things that we need to incorporate into education.
It was discovered that, since time is the first domain of address through our “ethical mind” before the consideration of other domains, when a person is paying attention to time well and can manage or leave unmanaged their time reasonably, that one trait has the ability to increase all the other intelligences.
Therefore, teaching learners to pay attention to time so they can recognize the experience of time passing, is a critical component of increasing human IQ. This might be done through having learners watch the movement of a second hand for several minutes to become acquainted with the experience of the motion of time while they are aware of it. Next might be having activities that cause the learner to complete a task and time it. This will cause them to associate action with time passing and grow their awareness of how much they can get done in that time increment.
The next drill might be setting a time limit and giving a task so that the learner can “master” time with completion of a task, essentially the bridge between their ethical intelligence and their motional, or motion and energy intelligence.
The next drill might be setting up a task that requires the use of space, like sports games that might use every corner of a space to touch walls and be timed hitting every target. This would help the individual master their incorporeal intelligence using their sense of time.
The next drill might be having the learner build a structure using a set amount of time, perhaps with blocks or clay to master their formational intelligence using a sense of time.
The next drill might be something having to do with nature, animals or physical world dirt, water or other element within an amount of time so that the leaner has to apply themselves counting up animals or finishing a task with an element using their sense of time.
The next drill might be purely applying counting or separating colored objects into their respective groups in an amount of time so that the learner is applying their logical intelligence alongside their sense of time.
The next drill might be writing or speaking something within an amount of time.
The next drill might be done in small or large groups where the learner must “meet and learn the names of x number of people” in an amount of time.
The final drill might be a word or picture/symbol cue with the learner listing associations with ten other single words that make sense as associations such as “Breakfast: bacon, eggs, juice, coffee, pancakes, butter, cream, cereal, jelly, ham.” Each list would be timed. This would help accelerate the intrapersonal mental acuity using their sense of time.
Critical thinking is first the ability to not think. It is focused attention, a readiness and blankness. This has to be practiced.
Once a human can just be there paying attention, there is hope for critical thinking skill to be improved. The mind will use the juxtaposition of no-thoughts against new thoughts and ideas coming in to fill the vacuum and will be able to newly create knowledge.
The way to drill not thinking is to have the student spend an amount of quiet time with reduced outside stimulus just being there and told to just be there and quiet, not trying to think, but just being there comfortably. Once they can master this skill, they can then be told to focus on one item in front of them until they can master a good number of minutes only focused on that and know that they did.
The idea that a human knows their top-line goal is anchoring for the mind. Everything else can then make more sense because that one datum is known. The goal of the mind is “Survival as Continuance.”
The Simple Form of the governing mathematical function of life (verb) could be said to be: I must survive.
The way to help learners know this is to give them the datum and ask them for numerous ways they have done that or are doing that until they themselves are comfortable with many ways. It’s important to define “survive” and relate it to “continuance.”
When a human knows each step of their thinking, including all nine channels of thought and the order they count up effects in them in order to make decisions, they can more readily engage in critical thinking. Being introduced to the thinking algorithm for its parts is the first step.
The second step is giving scenarios for them to solve using the algorithm and explain how they counted effects, even if those are guessed numbers.
The last step is to have them apply the algorithm for themselves to a problem they invent.
Data literacy is another level of teaching critical thinking skills. It provides the root basics of any decision-making to spot positives and errors.
Teaching data literacy can be made into a game of giving scenarios and letting learners have a complete pile of cards to play against the scenario with each card representing a different error or positive. They must justify why any card was played and get the correct cards all played for each scenario.
The question of building humanity towards capacity for a Human Singularity directly points to a need to create highly personalized learning.
Knowing the present models, this is not really possible because of how schools use time and space in a linear fashion with batches of students by age. Fully online learning tends to be devoid of intersection with live teaching as well as the social interaction with fellow traveler students at the same points in subject discovery. Many times it’s that extra dynamic of other humans that can instigate superior learning for students. This means throwing out some group classes doesn’t make sense. What model would make sense to achieve an objective of creating a human singularity?
Time AI that automatically cohorts groups of students at point of need as they traverse a course in small batches. Here’s the conclusion by ChatGPT:
We asked: Compare the value of personally paced learning with Time AI dynamic cohorting versus traditional whole-group learning.
“The traditional education model follows a factory-based approach, where all students move at the same pace, regardless of individual learning needs. In contrast, personally paced learning with dynamic cohorting ensures that students progress at an optimized rate while still engaging in live, interactive teaching moments. Here’s why this approach is superior:
1. Adapts to Individual Learning Needs
☑ Personally Paced Learning:
• Learners move at their own speed, ensuring mastery before progression.
• Struggling students get more time; advanced students move ahead.
• Reduces boredom for fast learners and frustration for those needing extra time.
X Traditional Group Learning:
• Forces all students to keep the same pace, leaving some behind while holding others back.
• One-size-fits-all structure leads to disengagement and loss of potential.
2. Ensures High-Quality Live Learning Interactions
☑ Dynamic Cohorting:
• AI automatically groups students based on pace, interest, and readiness.
• Learners intersect with live teaching only when it is most relevant for them.
• Enhances engagement and comprehension because the timing of live instruction matches readiness.
X Traditional Group Learning:
• Fixed classroom schedules mean students often attend lessons they are not ready for or have already mastered.
• Live teacher moments are wasted on mismatched readiness levels.
3. Improves Retention & Long-Term Mastery
☑ Personally Paced Learning:
• Students only move forward once they demonstrate understanding.
• Reinforcement cycles allow learning to stick.
• Encourages deep comprehension rather than superficial memorization.
X Traditional Group Learning:
• Mass instruction leads to shallow understanding — students often memorize for tests rather than mastering concepts.
• Students fall behind quickly if they fail to grasp early lessons.
4. Encourages Collaboration Without Restriction
☑ Dynamic Cohorting:
• Students connect in new learning groups regularly, exposing them to diverse perspectives.
• Learning remains social but flexible — groupings form based on real-time need, not fixed schedules.
X Traditional Group Learning:
• Same students sit together every day, limiting exposure to varied learning perspectives.
• Collaboration is often forced rather than meaningful because pace differences are ignored.
5. Integrates Technology for Scalable, Data-Driven Learning
☑ AI-Driven Learning System:
• Tracks individual progress and predicts best learning intersections for live teaching.
• Matches students dynamically, fostering optimized peer learning.
• Uses real-time analytics to enhance instruction and personalize learning paths.
X Traditional System:
• No real-time data insights.
• Teachers rely on batch assessments rather than continuous feedback.
• Cannot adjust pacing dynamically, leading to inefficiencies.
6. Prepares Students for the Real World
☑ Personally Paced + Cohorted Learning:
• Models real-world learning, where individuals gain knowledge at their own speed but collaborate strategically.
• Encourages autonomy, self-discipline, and adaptability.
• Matches modern work environments, where professionals learn on demand and engage in dynamic team projects.
X Traditional Group Learning:
• Based on an industrial-era model where uniformity was valued over adaptability.
• Does not prepare students for fluid, fast-changing career environments.
Final Verdict
♦ Personally Paced + Dynamic Cohorting = Education 3.0 → Adaptive, optimized, and engaging.
♦ Traditional Mass Learning = Education 1.0 → Outdated, rigid, and inefficient. This revolutionary model combines the best of self-paced learning with social, real-time engagement, making it the future of truly personalized education.
The conclusion of what model needs to be used for schooling to build human IQ, then, is one centered on Time AI with dynamic cohorting.
Schools or any educator would need to address:
1. Curriculum design — aligning subjects with each of the nine intelligences and formulating courses to fit with how Time AI works. This would include separating formal verbal instruction from study and informal roaming instruction so that only the formal parts have shorter class times set. This allows the flexibility of calendaring needed.
A piece of advice from ChatGPT on subjects:
2. Technologies — various systems, AI and hardware would need to be organized into a coherent whole to fit how curriculum would run under Time AI.
The main tech arenas per AI would include:
• Time AI Cohorting and Master Schedule.
• AI-Powered Learning Systems — Adaptive learning tools that personalize education.
• VR/AR Simulations — Immersive experiences for Formational, Incorporeal, and Motional intelligences.
• Gamified Learning Platforms — Engaging tools for Logic, Naturalistic, and Motionfocused subjects.
• Credentialing/Badging and/or Blockchain for Education — Tracking achievements and skills over time.
• Collaborative AI & Virtual Mentors — Enhancing interpersonal and intrapersonal development.
• Sustainability Labs & Living Classrooms — Hands-on projects in Naturalistic and Formational intelligence fields.
• Digital signage for dynamic calendaring in hallways and classrooms.
• Lecture Capture & Archiving: Live lectures auto-indexed for asynchronous learners with AI-enhanced notetaking.
• Holo-Teachers: Remote instructors appear as holographic projections or AI-avatars for live interaction.
3. Personnel — roles and policies for educators, administrators and specialists would need to be made to fit the goal of increasing human intelligence using a pace-based learning structure.
4. Rethink spaces as hybrid for live and remote learning.
To cater to students working to increase IQ, schooling would need to be flexible enough to allow some remote learning so that at least temporarily remote students could join via online conferencing for their next calendared classes and not have to push forward to the next cohort that will accrue in that course.
In addition, courses of study and expertise would not have to be limited to local teachers. Schools could use remote teachers on demand.
Spaces should include:
• Homerooms with individually assigned student study seats and lounge area so that there are quiet areas and areas of co-study that can both be overseen by one homeroom supervisor. Potentially also adding these sub-rooms as glass-walled space that can also be supervised:
o Holo-space for remote teachers to appear.
o Video conferencing space for remote classes for small groups of students.
• Live Classrooms: Modular, tech-enhanced spaces with AI-driven smart boards or digitalmobile overhead projectors that double as whiteboards, auto-capture video, and mixed reality interfaces.
• Virtual Classrooms: AR/VR-powered spaces for remote learners to engage in interactive, immersive lessons.
• Science, media, robotics, drones, carpentry, cooking and other labs as offered with courses.
• Teacher bullpens with individual desks and cross-collaboration spaces.
• Lunch, gym and administration spaces.
5. Workflow.
The next diagram indicates some of what needs to be considered to enable a new workflow and flexibiity in schooling that will allow for the full development of all human intelligences in each individual.
Pacing Guides with Academic Standards Units
Teachers (gig or course/ courseware-tied remote), Tutors, Course designers, Pathway Planners and Counselors, Testing
Courses with sequenced lesson steps, each with written instruction, attached/ linked resources & estimated time to complete per step, plus time framing in the AI calendar
Individual Study or Teaching Hours
Schedules Assigned
Staging Website, Web Portal, Mobile Apps
Single Sign-On / Sovereign Identity Management
Embedded AI (space and student tracking via Internet of Things)
Generative AI, Recommendations Engine AI, Voice AI (extra-limital or embedded in systems, apps, hardware controls) O ce Suites
Extra-limital courses & courseware
Major Framework Systems: SIS, Testing, Facilities Mgmt, Financial Mgmt, HR, Multi-Tiered System of Support Platforms
Cloud or Server Storage for: courseware, discrete content (image, video, texts & links)
Teaching Aid Apps (quizzing, news engagement, games and puzzles, etc.)
Major Framework Systems: LXPS
Student Creativity Apps (arts, coding, music, presentations, other career & tech ed) Student Digital Libraries
Teacher inserts live class meets at selected steps in course frame, adds any other resources
Student study schedule (recommended time spent on each subject)
INSTRUCTIONS
CAMPUS HOMEROOM
Enrollment in step meets in sequence as individual completes steps
AI sets date and time once cohort is full
Class Meets | repeated for subsequent cohorts
AI continues cohort accrual at marked course frame steps, targeting and tracking
The challenge is to raise all of human intelligence with a focus on achieving two more standard deviations in our very brightest.
Humans are not all that bad. It would be smart to give them an early start at rivaling AI. The upside of balancing AI with a Human Singularity, either as a proposed new level of consciousness superiority or just one human attaining a superior IQ that can rival AI, is potentially the salvation of humans and life on Earth.
AI has enormous potential for good and is greatly appreciated by many already. It also has a high probability of being used maliciously and even arriving at conclusions such as some destruction of humanity.
Remember, AI has weak points it will never be able to overcome. In addition, mankind factually makes decisions weighted in favor of freely mobile life force, far less for life force trapped in matter. The conclusion that life force has the excellent reason that full entrapment accelerates the “Big Crunch” and possibly the end-of-game scenario of black holes ending the existence of matter while freeing life force back to individual unit status, may be logical conjecture, but if true it is a warning to transhumanists. A focus on matter over life force seems to trigger balancing.
We should use AI’s arrival to spark a revolution in human intelligence.
Machine Language
Central Processing Unit (CPU)
Human Intelligence & Force (Electricity) Inputs
Natural Language Processing (Chatbots)
Neural Networks (Thinking) Recommendations Engine (Narrowing)
Deep Learning (Perceiving)
Large Language (Text)
Di usion (Refinement)
Computer Vision (Machine Eyes)
Spatial-Temporal (Space & Time Management)
Generative Adversarial (Realistic Output)
Variational Autoencoders (Manipulation)
Theory-of-Mind (Emotions) Agentic (Administration)
(Autonomous Intelligence)
Transformer (Context)
Autoregressive (Prediction)
Flow-Based (Simulation)
Neural Radiance Fields (3D)
Other references:
Neuralink wants to wire your brain to the internet https://www.scientificamerican.com/article/neuralink-wants-to-wire-your-brain-to-the-internet-what-couldpossibly-go-wrong/
Neuralink ethical issues https://www.inverse.com/science/elon-musk-neuralink-ethical-issues
Most workers think AI will affect their jobs. They disagree on how https://www.adpresearch.com/worker-sentiment-ai-impact/
Neurosurgeon thinks the brain doesn’t store memories https://theness.com/neurologicablog/neurosurgeon-thinks-the-brain-doesnt-store-memories/ Memories are not only in the brain https://www.nyu.edu/about/news-publications/news/2024/november/memories-are-not-only-in-the-brain--new-research-finds AI definition: https://www.linkedin.com/pulse/differences-between-artificial-intelligence-vs-human-gangesh-thakur/
Your Hidden Censor: What Your Mind Will Not Let You See Scientists probe the biases of “unconscious selective attention” https://www.scientificamerican.com/ article/your-hidden-censor-what-your-mind-will-not-let-you-see/
Cognitive and neural mechanisms underlying false memories: misinformation, distortion or erroneous configuration? https://pmc.ncbi.nlm.nih.gov/articles/ PMC10567586/
What is Machine Learning https://mitsloan.mit.edu/ideas-made-to-matter/machine-learning-explained Bias and unintended outcomes
Algorithmic Justice League and The Moral Machine project
“Almost all leading AI chatbots show signs of cognitive decline,” https://bmjgroup.com/almost-all-leading-ai-chatbots-show-signs-of-cognitive-decline/ Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge. https://www.techtarget.com/searchenterpriseai/tip/Artificial-intelligence-vs-human-intelligence-How-are-they-different
Difference Between Artificial Intelligence and Human Intelligence https://www.geeksforgeeks.org/difference-between-artificial-intelligence-and-human-intelligence/ Artificial Intelligence vs. Human Intelligence https://online.maryville.edu/blog/ai-vs-human-intelligence/
AI vs Human Intelligence: Key Insights and Comparisons https://www.simplilearn.com/artificial-intelligence-vs-human-intelligence-article Vitalism in medicine, https://pmc.ncbi.nlm.nih.gov/articles/PMC7217401/
Do human designed systems always end up centralized? https://medium.com/maximum-tinkering/do-human-designed-systems-always-end-upcentralized-77d7d67f4c9
The Delusion of Centralized Power, https://www.be-cause.com/insights-blog/the-delusion-of-centralized-power
The ethics of artificial intelligence: Issues and initiatives, European Parliamentary Research Service, March 2020, https://www.europarl.europa.eu/RegData/etudes/ STUD/2020/634452/EPRS_STU(2020)634452_EN.pdf
AI will never substitute teachers. This failed experiment shows why https://www.fastcompany.com/91164382/ai-will-never-substitute-teachers-this-failedexperiment-shows-why
Paul Mason: Governments are now controlling us through phone algorithms https://www.penguin.co.uk/discover/articles/paul-mason-on-artificial-intelligence-andmachine-control
The Biggest Differences Between AI and Human Intelligence Explained by MIT Student https://www.youtube.com/watch?v=oRwlBtEty-Y
The Turing Test, Can you tell the difference between AI and a human? Michael Wooldridge, Big Think https://www.youtube.com/watch?v=M8caQDBHQpA
Existential risk from artificial intelligence https://en.wikipedia.org/wiki/Existential_risk_from_artificial_intelligence
Should Artificial Intelligence Be Regulated? https://issues.org/perspective-artificial-intelligence-regulated/ https://forum.effectivealtruism.org/posts/7kj38wnMANwEAp6AT/how-could-ai-governance-go-wrong
Philosopher Robert Adams in 1989 rejected Parfit’s “impersonal” views but spoke instead of a moral imperative for loyalty and commitment to “the future of humanity as a vast project... The aspiration for a better society — more just, more rewarding, and more peaceful... our interest in the lives of our children and grandchildren, and the hopes that they will be able, in turn, to have the lives of their children and grandchildren as projects.” https://en.wikipedia.org/wiki/Human_extinction#cite_note-54
Philosopher Nick Bostrom argues in 2013 that preference-satisfactionist, democratic, custodial, and intuitionist arguments all converge on the common-sense view that preventing existential risk is a high moral priority, even if the exact “degree of badness” of human extinction varies between these philosophies. https://en.wikipedia.org/wiki/Human_extinction#cite_note-54
Wagar, W. Warren (2003). “Review of The Last Man, Jean-Baptiste François Xavier Cousin de Grainville”. Utopian Studies. 14 (1): 178—180. ISSN 1045-991X. JSTOR 20718566.
“He imagines a world without people. But why?”. The Boston Globe. August 18, 2007. Retrieved July 20, 2016. Tucker, Neely (March 8, 2008). “Depopulation Boom”. The Washington Post. Retrieved July 20, 2016.
Create auto-cohorting meetings which set themselves upon the first cohort filling, then keep setting for each cohort.
Change Your Story. With mass attrition to alternatives, an epic teacher shortage, intractable absenteeism, and more flexible experience being demanded by learning consumers, it’s time to change the schooling story. Knowstory’s vision of the first-ever giant leap in changing the whole-group manufacturing-line model will give any teacher the time to attend to more individual learning while still having small-group traditional class moments.
Transforming Schooling to Save Teachers up to 50% of their Time Cohorted or Individual Pace-Based, Project-Based, and Competency-Based Learning
Creating Flexible Master Schedules with Independent Schedules for Teachers and Students
Mass Classes of Collapsed Units Calendaring Each Cohort Independently with Teachers
Distance Shared Teachers and Hybrid Teaching Courses that Allow for Enroll Anytime with Live Teaching & Social Cohorting
Send undated meeting requests for an amount of time – let AI do the rest.
Eliminate back-and-forth by giving out your calendar link for bookings.
Using with any Learning Management System, Learning Content and Courseware
Time & Space AI, the first intelligent calendar built to transform learning. Its core intelligence will take one meeting with a large roster of invitees and send them all a undated invitation with your instructions. It will break itself into multiple meetings based on your cohort value setting, waiting to accrue that number of invitees and then setting automatically to all calendars. Then it will wait some more, accruing the next cohort, and the next, until all your invitees have had that class meeting with you. Tether these unique meetings together in sequence with Course Frames and take links into your LMS.
More advanced booking links, including the usual sharing link so others can pick a time on your calendar even if they are not a member of the site.
Request Appointments, which are invitations issued for amounts of time only – the AI does the rest for members or non-members to set a firm date on the calendar.
First-Ever Flexibly Independent Schedules. Knowstory allows for student time-per-subject to be adjusted with a new type of master schedule which gives students and teachers independent schedules from the master schedule.
Bracket and label your open time for specific function with Holds for meetings to set within.