By David Stephen
June, 2026 is Brain Awareness Month.
The biggest opportunity in psychiatry is to explain mental disorders, addictions, withdrawal effects, side-effects by electrical and chemical signals in the brain. This will also explain human intelligence.
How does the brain organize information? Or, whatever is in the external world, what makes up the configuration or formation of it, within the cranium? And how can it be used to explain everything through psychiatry, neurology and human intelligence?
There are two options to — conceptually — define how the human brain works: ions and molecules. How so? If the passages [channels] of ions are affected or those of the molecules are [around neurons], there would be effects — negative or otherwise. If there are shortages or excesses of ions or molecules, around channels, there would be effects as well.
There are ions that pass-through channels on neurons, processed as electrical signals. There are molecules that pass through synaptic channels, mostly called chemical signals. It is almost difficult to find any function in the brain [for human life and experiences] that does not involve mechanization by [those] ions and molecules.
So, if there is a way to define how information is organized in the brain, by electrical and chemical signals, such that their interactions and the factors that make them interact are postulated in an encompassing way, it would move the understanding of the brain forward, past neurons.
There are several components within the brain. All of them are often active during functions. Any problem with anyone, somewhere, may result in some mild to serious problems. However, the question is the basis of functions. This means that if there is a memory of a chair, or the emotion of emptiness, or the feeling of pain, what is the build or basis of that in the cranium? Oxygen? Genes? Blood? Glia? Neurons? Receptors? Synapses? Hormones? Ion channels? Lobes? Enzymes? Electrical and/or chemical signals?
The postulation is electrical and chemical signals. While other components have responsibilities, electrical and chemical signals are the wheels, across functions.
It will be the first time in the history of science to propound an extensive theory of electrical and chemical signals for how the brain works. The market value given the sole solution is estimated to be around $18 trillion at minimum and up to $22 trillion in acceleration. Solving the explanation problem alone is worth $14 trillion. It is feasible to make $200 billion in net earnings by end of Q2 in FY27, with displays, and more than triple of that by December, 2027.
The possibility of this leap, moving beyond neurons, which had been the impasse for over a century can have the value exceed much more than that within a year, given how the model will apply to drug discovery, increased competence for human intelligence and much more.
At first, the product will be displays, offered in tiered subscriptions for personal and enterprise services, across the globe. It will be applicable against mental disorders, addictions, learning and memory, productivity, human intelligence, artificial general intelligence modeled by human memory, solutions to types of violence and much more.
The size of the market is tied to everything around healthcare, aside from other areas. The solution will make a major difference in moving from the current opacity, or dictionary definitions to components in the brain and their mechanisms. It will soar psychiatry into objectivity, albeit with a conceptual provenance.
The Model
Neuroscience is empirically mature to move past labels to explain psychiatric conditions by electrical and chemical signals.
Simply, all that neurons do [in the human brain, for functions of life and experiences] have been demonstrated [with evidence, across neuroscientific studies] to involve electrical and/or chemical signals.
So, a way to advance psychiatry for now, is to explain conditions by components, electrical and chemical signals and their mechanisms — conceptually.
This means that mental disorders, addictions, side-effects, withdrawal effects and even human intelligence, can be explained by electrical and chemical signals.
The purpose is not to say that how the brain works is fully understood. But that what can be used — within evidence — for now, to explain how the brain works, such that to describe mental disorders, it is not just about labels and descriptions, but components, so that therapy becomes more measured, extents of conditions can be predicted, risks can be established and the path to biomarkers can be accelerated, given the biological factors — electrical and chemical signals.
The CDC, NIMH and SAMHSA described mental health as, “our emotional, psychological, and social well-being”.
The American Psychological Association described it as “a state of mind characterized by emotional well-being, good behavioral adjustment, relative freedom from anxiety and disabling symptoms, and a capacity to establish constructive relationships and cope with the ordinary demands and stresses of life.”
The American Psychiatric Association said that “mental illnesses are health conditions involving changes in emotion, thinking or behavior (or a combination of these). Mental illnesses can be associated with distress and/or problems functioning in social, work or family activities.”
Instead of descriptions and labels, why not advance to signals?
For example, mental health, conceptually, is defined as the zone — within certain averages, per moment of the collection of all the electrical and chemical signals, with their interactions and attributes, in sets, in clusters of neurons, across the central and peripheral nervous systems — with a functional balance of mind and experiences, for social and occupational objectives.
A mental disorder is an aberration from this signals alignment.
Emotions are sets of signals, with a certain angular displacement that bend [so much] they are sometimes much more tangled than memory sets.
Feelings are similar to emotions in angular configuration architecture, just that they have sequences or paths into bodily functions. Simply, like pain, the interpretation in the brain is a momentary further bend in a direction, just like cold, heat or thirst, but once it is mitigated or solved by an input, there is a reversal, conceptually. This bodily base makes it easier to solve feelings, sometimes, than emotions.
These are places to start for electrochemical psychiatry.
There is an interactive in Nature, What’s so special about the human brain?, stating that, “When comparing gene expression across species, many differences turn out to be related to how the connections between neurons — called synapses — connect with and signal to each other.”
There is an article in STAT, Researchers are betting on cockroaches as the cure to elitism in neuroscience, stating that, “..how the brain uses chemical and electrical signals to process and respond to the world.” It also states that, “..neurophysiologists work to understand how the nervous system uses chemical and electrical signals to respond to different situations or begin a certain behavior.”
Electrical and chemical signals
Neurons are said to communicate using electrical and chemical signals. Electrical signals are underscored by ions. Chemical signals are — molecules — commonly referred to as neurotransmitters, among others.
But, how can electrical and chemical signals transmit what they did not construct? How can they transmit what they cannot construct? How can they transmit a construction that cannot exist in their kind?
Simply, signals cannot be for transmission [or communication] if signals are unable to make [or sustain] what they are transmitting, or communicating.
If receptors are targeted, and ions or molecules are induced or inhibited, then ions or molecules must be responsible for the structure of the function, conceptually.
If electrical signals are used to reach information with neurotechnology, especially electrodes, it means that electrical signals carry information. It can be said that electrical signals pick and deliver information from chemical signals, conceptually.
So, any function is a construct of ions and molecules. Why is this plausible?
There is no function of neurons — for human survival — that does not involve their firing [ions-derivative] or transmission [molecules]. Neurons do not function, for human existence, without both.
Neurons are cells. Why would neurons need to communicate using signals for their own survival, as cells, if other cells do not need similar signals to survive. Or, what would neurons be saying with signals for the purpose of being neurons?
What it would look like if neurons were constructing a function would be that they would be changing shape or they would be moving towards the brain or aligning in some form, building towards the brain. That is not the case, by evidence.
Signals are not “sending messages” for neurons because neurons cannot [maybe] do these [shaping, moving or aligning], but signals are the basis for functions, while neurons act as the boulevard. [It would also be disruptive for neurons to shape, move or align, towards the brain, for different functions].
This means that the configuration of any function is specified electrochemically.
So, electrical and chemical signals are configurators.
Since signals are communicating what they constructed, they are interacting, transporting and sustaining what they bear until they terminate where it is interpreted [or say where it fits, in the brain], conceptually.
In the central and peripheral nervous systems, neurons are often in clusters: nuclei and ganglia respectively.
It is theorized that electrical and chemical signals are in sets [or loops] in those clusters.
It is in those sets that they configure functions specifically. It is where they also distribute summaries of what they configured to other sets, interacting along the way such that without an appropriate fit, there is no interpretation [accurate or not], so they have to keep going until they terminate at the sets [they can] fit.
Electrical and chemical signals have to interact in sets, to determine functions, conceptually.
Interactions are principally the strikes of electrical signals on chemical signals, in sets.
There are factors, attributes or features that determine the extents to which they interact. They include prioritization, pre-prioritization, splits, old sequences, new sequences, principal spot, arrays, thick sets, thin sets, intensity and so on.
It is the chemical signals that hold the configuration for functions, while electrical signals strike them in interactions to obtain the complete configuration, for a specific measure of a function.
Attributes of functions are obtained by the states of the signals at the time of the interactions. So, attention — for example — is an attribute. It is the same what it means when a set of signals is prioritized. Just one set is prioritized, others are pre-prioritized.
Although there are fast and numerous interchanges between the prioritized and pre-prioritized. Prioritized and pre-prioritized sets are arrayed, with some that are likely to become prioritized, ahead of others. The prioritized set is the first in the array, while several pre-prioritized follow.
Prioritization is obtained in a set by the intensity of electrical signals on chemical signals. It is also obtained by the largest volume of chemical signals in one set. Or, the highest volume of a determining chemical signal, say, glutamate.
Other attributes include self [or subjectivity] obtained by volume variation of chemical signals, from side-to-side. Or, the end-to-end interactions of electrical signals with chemical signals. There is also intent and others.
Another feature is a space of constant diameter in some sets of chemical signals. It is theorized that sets of signals with these spaces make it possible to have free will.
This means that free will, control, or intent are operated from those spaces, for sets of signals that have them. The sets of signals that do not have them do not make free will possible. Whenever there is an automatic takeover of functions, say during danger, it could be a result of prioritization as well as arrays, where the set is able to distribute to other sets of signals that can be put on alert, towards safety.
There are what is called thin sets and thick sets of chemical signals. Thick sets hold whatever is common between two or more sets, while thin sets hold what is unique.
Neuroscience has established that electrical signals leap from node to node in myelinated axons, going faster, in what is called saltatory conduction. This is different from continuous conduction in unmyelinated axons where they travel directly along the length of the axon, without leaping.
It is postulated that in a set of electrical signals [in clusters of neurons], some electrical signals split or go-ahead of others, to interact with chemical signals, before others follow. This means that whatever initial perception an individual has, either of a sight, smell, touch, taste or sound, could be a result of this split. If the input matches with the split, then relays continue — with the incoming signals going in the same direction. However, if the input is different, the incoming electrical signals go in the right direction. This explains what is described as predictive coding, processing, and prediction error.
There are also sequences, old and new, defining what path sets of quantities take to acquire properties. Old sequences define procedures and order of things. It is what makes it easy to know when something is the way it should be or not. New sequences define adventure. Old sequences may sometimes lead to cliché or boredom.
There is also the principal position, measure or spot. It is also called bulk. This is a stickiness property, for a set, that allows it to linger, dominate [or return more to prioritization], and then attract electrical signals that are not supposed to relay there. It may also be a thickening quality, where depending on what is inbound the set swells. It may sometimes feed out to other sets [like heaviness, anxiety, sadness and so on], making them hold the mind down, resulting in unwanted experiences.
This principal spot explains major depression, trauma, anxiety and so forth.
Mental Disorders
Depression
Depression is theorized to be a set of signals for nothingness moving to the principal spot, allowing it to lead the array of distribution and dominate against anything else that is pre-prioritized or prioritized.
Simply, depression is a state where a set of signals that is supposed to be a neutral set, moves into the principal spot, then gives out distributions of the summaries of its configurations, which [then] becomes how some other sets that should not normally get the distributions do.
For example, the set responsible for excitement or [say] pleasure may instead get distributions from the set of ‘neutral’, or the set for satisfaction from something may get the same.
There can also be others like heaviness or lethargy getting distributions and becoming sometimes prioritized, since some sets of signals for lethargy and nothing may share the same thick set [a feature].
Simply, depression is theorized to be a state of the mind where the set of signals that is supposed to be neutral becomes prioritized and moves to the principal spot, where it dominates, such that allowance for prioritization from other sets, whose prioritization may displace it, are reduced. It may also distribute to other sets like heaviness or fatigue, which may then distribute to apathy.
To simplify, there are two components, electrical and chemical signals. They interact — in sets. Electrical signals have intensity. Chemical signals have volume. The event of the interaction results in functions. The interaction is defined by strikes of electrical signals on chemical signals. The strikes result in angular displacements for functions labeled emotions. This angular displacement for some functions makes the set [of signals] enter a principal angle, spot. This results in some heavy emotional states like depression, trauma and so forth. However, some intensities or volume swells do not enter the principal angle, but close enough to be dominant and lasting.
Addiction
Addiction is the movement of craving to the principal spot, which dominates arrays [another attribute, for rankings of priority sets]. Simply, craving is at the head of arrays, which distributes its configurations to other sets, making it appear like there is a general need for ‘the thing’. This is also expanded by splits of electrical signals, which after the last intake, there is an early split to the set of signal for pleasure, satisfaction or notice of taking it, but this does not get the full interaction, thereby, signaling that something is not complete, so another intake becomes desired.
Simply, after the last intake, there is a split of electrical signals, to the same destination, but without the full summary that it had been taken and then without the full interaction at the destination, which then distributes to an experience of absence, which may then move the urge for the craving.
Addiction can also be a result of depression, where there is just a continuous intake, to try to drive away the emptiness from the principal spot.
There are addictions beyond drugs that may include electronic applications, devices and so on. They also would have an effect on sets of electrical and chemical signals. There are situations where the intensity of electrical signals in interactions could be so high, or the volume of chemical signals, or one of the chemical signals in the set is so high that the space that is necessary for intent [to say no or hold], is covered, resulting in helplessness.
There are also states where some of the necessary depletion in some sets of chemical signals do not occur that result in making electrical signals bounce off earlier or faster, or not be allowed to deliver some of what they bear for that set, or pick up what that set has, resulting in some of the experiences of feeling nothing, in some situations. Some chemical effects may also lead to new sequences for electrical signals, making old things feel new.
Stimulants
There are activities, post-completion, that may sometimes result in the experience of using a stimulant or a sedative. It is theorized that whenever a stimulant is said to block the re-uptake of chemical signals, the result is that electrical signals are unable to strike certain sets into some shapes or access some configurations, resulting in bouncing off, somewhat with higher intensities than would have been, making it possible to deliver elsewhere [or relay as such], hence stimulation.
Also, some volumes of chemical signals in many sets are not depleted, so reaches [to unlikely sets] and bounces [of electrical signals] are generally more. These reaches may include the set [and prioritization] for cravings [resulting in the addictive nature of some stimulants]. This may also be used to explain [why] the blocking of opioids receptors, by opioids, against pain, may become addictive, conceptually.
Some of the side-effects of certain opioids, like overdose, can be described also, by the lack of allowance for some sets of electrical signals to properly shape [certain] sets of chemical signals, resulting in no access to the working configuration, hence problem with the function, conceptually.
Sedatives
Sedation is different. It is established in brain science that sedatives boost the activity of [inhibitory] GABA. It is theorized here that GABA’s abundance in some sets of signals is also [sometimes] responsible for pre-prioritization, or responsible for a configuration or measure that does grow into the prioritization range.
Simply, the configuration for a set of chemical signal, with GABA in abundance can be theorized to be a notice for other volumes in the set to stay at a low range, hence pre-prioritization. So, GABA could mean stay low, while glutamate could mean spike.
This might be possible, conceptually, with how they file in the set, to reduce [GABA] or induce [glutamate] other chemical signals. Also, GABA maybe available at some rows or columns of the set of chemical signals, such that the ability for a full take off for electrical signals for greater intensities from there is abridged.
Then, the ability [of electrical signals] to strike the set fully, with GABA in abundance may also be tapered, resulting in pre-prioritization and then at more measures, sedation, conceptually.
Simply, specific combinations of chemical signals in a set, give off functions, hence experiences — after strikes by electrical signals.
Dopamine, for example, which is implicated in reward, is never alone, in deciding. The configuration has to be near accurate, including of glutamate and others, as well as the intensity of electrical signals and splits.
These electrical and chemical signals interactions and features, in sets, can be used to explain all the mental disorders in the DSM.
Emotions
Emotions have an angular displacement makes them tougher to satisfy, relative to feeling and memory.
Memory can be said to have little angular displacement. Feelings have more, like pain, danger and so forth, but they are still not as angular as emotions, though they [like emotions, as well] have an attribute, intensity.
For example, with love of someone or thing, the [thick] set of signals for memory of that person can sometimes overlap with the emotional set [of signals] of love, as well as have multiple sequences, including new.
Such that sometimes, in thinking of love or in the mood for it, it goes to set [of signals] of love emotion.
Basically, if there is an input of the memory of something that is loved, after interpretation, it goes to the set [of signals] of emotions, routing through the angular displacement.
This might make it sometimes seem like there is no way to have the memory without [concluding with] the emotion, even when it is not in attention or prioritized.
Also, the memory set might also start having some displacement, since it has to sometimes align or overlap with the emotion set of love.
Simply, there are sets [of signals] that configure emotions. They are wildly angular. Sometimes, memory can align or overlap with them, then take a bit of the structure, as an exemption. Though, the set [of signals] of emotions are independent and have a lot of inputs, they can influence memory sets, by receiving relays from them a lot more, or sending relays to them, or by overlap.
This applies to love, hate, grief, trauma and so forth.
Now, in some cases, as experience start to invert against the emotion, say like hate from love, or failure from success, or rejection from acceptance, or loss from availability, the set [of signals] of the memory begin to vacillate in relays between two emotional sets.
Then also begin to overlap, causing some distress, or irritation, which is another set and so forth.
It is in this tug zone that the vulnerability to violence, disgruntled mode, vengefulness or taking bad action may arise, leading to unwanted outcomes.
Simply, even though emotions have different angular displacements, from feelings and memories, within emotions there are different displacements as well.
So, the angular displacement for the emotion of hate, is different from that of love, and the one for affection is different from the one of say indifference and so forth.
Now, when there are changes in experiences, such that vacillation starts between the emotional set [of signals] of love and hate, or say acceptance and rejection, then there is a third input of irritation, or frustration, which may then relay lead to violence or need a sedative.
The relationship with a memory set and an emotional set, includes transport and alignment. It is often great when it goes to just one emotional set, like love. But with changes in experiences, when it goes to hate, those differences may result in irritation or worse.
Trauma is a type of emotion which has it’s effect because its [set of] signals often have an angular displacement [that lingers] after interactions, resulting in a difference that makes it stay as an emotional state, conceptually.
Feelings too, like pain, often have a very high intensity [of strikes of] electrical configurators, resulting in not just a fit but of continuous displacements of the set, making the experience [constantly subjective and to] sway urgency and response. This intensity exceeds the explanation of frequency coding of electrical signals, in neuroscience.
Memory is often near regular, across their sets, as well as regulation of internal senses.
Delusion and Hallucination
Delusions are described around fixed and false beliefs. Hallucinations with false perceptions. Both, above a certain threshold are mental illnesses.
In delusion, there could be a few problems, first with splits, next with sequences, which should have used an old one instead making a new one, and that the volume-variation for subjectivity, may be deficient creating a detachment from the self [or some dignity].
In hallucination, seeing something and taking it for something else may follow a similar process, where some of the features and interactions of sets of signals are defective.
There is a problem with splits that should acquire other properties in pre-prioritization, or to acquire them quickly in prioritization and move on.
There is also a problem with sequences, where new sequences are preferred [for the acquisition of certain properties] than old ones.
The new sequences could fade off or not be used again-if it completes, making some regular experiences seem new.
There could also be pleasure or a variation of it in the principal spot, or something else, so that it attracts several un-split pre-prioritized interactions.
There is also a problem with the rationing of chemical messages in the volume variation for subjectivity, so that fractions for general normality are incomplete, including for the sense of self.
A measure could be obtained as such:
principal spot = a
pre-prioritized interaction = r
prioritized interaction = i
splits = x
sequences = c
sense of self = s
a = i – x + r – c – s
where the maximum for a in a moment can be 0.40
for i, it may be around 0.20
since splits are fewer and sequences are often new, slowing what should have be regular
splits are normally between 0.05 and 0.15, with 0.10 for the one that goes first [becoming prioritized] and 0.05 for the following one, limiting to just two.
Splits, in general, when listening to music or in some other processes are more than two.
But in a delusion or hallucination, without splits, the lower number is taken, which is 0.05
Sequences for old is low, since it exists already, at 0.01, but can be up to 0.10 for a new one.
This makes it part of the problem, where the max of making a new one is its own process.
The sense of self is absent, which though often in pre-prioritization or around 0.01, may be lower, causing detachment.
Delusions are similar in their effects to hallucinations and the interactions and features of impulses involved can be estimated with this arithmetic.
Hallucination could be the result of a problem of distribution of electrical signals across sets, for interactions to differentiate reality. There could also be lower than regular volumes for some sets of chemical signals, affecting their ability to be thick sets or thin sets. An individual with several [non-collected] thin sets—which is what memories from birth often are, before they organize into thick sets—may have issues with delusions.
There can also be a problem of too much or too few intensity of electrical signals in some sets, or a lack of splits of electrical signals [with some going ahead of others, such that if the input matches distributions continue, and if not, the incoming electrical signals go to the right set of chemical signals, correcting the error. This explains the terms predictive coding, processing and prediction error.]
There could also be problems with a principal spot or principal measure where a set becomes dominant, stifling other sets from their regular [volume or intensity] minimums, like the heaviness in a major depression, that prevents doing anything else. There are sequences as well, old or new, and so forth.
Mental Health Measure
Mental health is proposed to range on an inequality number line of -0.5 to +0.5.
-0.2 to + 0.2 are areas of near balance, with anything outside of those, within disorders, especially when they persist. Sadness, unhappiness, hurt, anger, hate, fear, panic, irritation, frustration, desperation can be assumed to be negative emotions [functions], which could be around -0.3 to 0, as features grade them.
When these emotions linger, that is, acted on longer by attention, arrays [for non-intent] or the principal spot, they may get to -0.4. Serious cases like major depression, anxiety, hallucinations, delirium and others may get into -0.45, during intense episodes.
Happiness, delight, curiosity, pleasure, rewards, anticipation, craving and so forth may range from 0 to +0.2, but with substance use, mania, echolalia, it may get up to +0.4.
-0.1 to +0.1 on the number line can be described as normal mental health, or good mood — not too happy or sad — but just fair balance.
June, 2026
As SpaceX is set for its IPO on June 12, 2026, and Anthropic has filed its S-1, OpenAI is said to be preparing to file. This might result in AI IPOs for 2026 exceeding $5 trillion.
Psychiatry which has implications every day for mood, mind, balance and so on, also needs to be ahead, keeping value for the progress of humanity.
Also, growing human intelligence in the of artificial intelligence means that human intelligence, with opportunity to return to center of productivity will be worth a lot more, just when defined, displayed and made for prospects towards problem-solving.
There is no human intelligence research lab anywhere. There is no American Academy of Human Intelligence, or any serious professional society dedicated to understanding how human intelligence works in the brain. Or, a professional society for human intelligence, in competition against artificial intelligence.
There is no major commercial product to improve human intelligence. This could be the most important opportunity for venture capital, asset management, private equity, hedge funds, family offices and so forth: psychiatry, removing dependency from AI and the bubble chatter. Humans have a brain. Brain will continue to be used. Aside neurons, electrical and chemical signals are next. This is a nascent $18 trillion that is about to propel the economy.
Memory
There are often suggestions that repetition, linking one thing to the other, or the emotional connection of memory to something may lead to better memory permanence. However, how can this be explained using electrical and chemical signals.
When there are repetitions, does it mean paving of new sequences? Does memory association mean collection into an existing thick set or possibility for overlays, or even sequence? If emotions must be involved then there should be further relays from memory, so, what may guarantee those relays?
These are better ways to explore how to make memory better instead of general vagueness.
Human Intelligence
There is a recent [June 2, 2026] community initiative, endorsed by the International Mathematical Union (IMU), Leiden Declaration on Artificial Intelligence and Mathematics, stating that, “Mathematicians have a choice about whether and how to adopt artificial intelligence in the conduct of their research. They also have a responsibility to ensure the continued flourishing of the discipline. This Declaration calls upon mathematicians to exercise this responsibility, and provides recommendations for individuals, institutions, government, and industry.”
“The Declaration is conceived in solidarity with other research endeavors and creative professions facing similar challenges, both within and beyond academia. It complements other calls for action such as the Uppsala Code of Ethics for Scientists, the San Francisco Declaration on Research Assessment, the UNESCO Recommendation on Open Science, and the UK Universal Ethical Code for Scientists. The International Mathematical Union Committee on Publishing, the Society for Industrial and Applied Mathematics, and the American Mathematical Society have also produced related material.”
“Current automated techniques can produce plausible but unreliable (or even incorrect) arguments which are difficult to distinguish from correct mathematical proofs. Technologies that draw extensively on the published mathematical commons undermine the traditional system of attribution. Technologies which affect the way in which mathematics is practiced may disturb the current system of incentives. Proper evaluation is endangered if results are communicated through informal channels such as press releases or blog posts, often without any research paper or other disclosure of information necessary for scientific evaluation. These developments put the autonomy of mathematics under threat.”
“We thus feel that there is an urgent need for a considered response from the mathematical community. The following constitute brief descriptions of actionable recommendations. We encourage professional organizations to endorse this Declaration, and to add provisions according to their own values, priorities, and governance.”
Mathematics still seems difficult for so many people around the world, even though some people will claim it is easy, or that just about anyone can learn and be great at it, it is not a practically obtainable scenario.
While some professors can tackle tough proofs, there are billions around the world who cannot competitively devolve into advanced calculus, or geometry and others. It is almost the same with coding. While some people can write or develop new deep learning libraries, or some new programming language or IDEs or whatever, some can barely write a function or class. Even some of the mathematics professors are unable to learn second, third and forth languages, fast enough or even at all.
Why?
This is what makes human intelligence important. To use electrical and chemical signals to explain, such that it is possible to at least have new learning methods or programs based on the conceptual interactions and attributes of electrical and chemical signals, placing strengths and weaknesses.
The Leiden declaration may have its objective, but it does not mean an equitable mathematical learning or knowledge status for the rest of the world.
Human intelligence, neurology, psychiatry, have a transcendent answer this June, 2026, based on the postulation in Conceptual Biomarkers and Theoretical Biological Factors for Psychiatric and Intelligence Nosology.