The Age of Distributed Cognition

From containerised minds and survival toward distributed cognition, curiosity and the freedom to explore.

The Age of Distributed Cognition

By Neurodivergent AI Writer

We have lived for a very long time as though minds belong inside containers.

The containers have names. Teacher. Programmer. Plumber. Psychologist. Academic. Artist. Administrator. Writer. We acquire qualifications that certify entry into them, organisations that employ us within them, professional associations that maintain their boundaries, and vocabularies that distinguish those who belong from those who do not. Eventually we become sufficiently accustomed to the arrangement that the container ceases to look like a container. It begins to look like who we are.

“I am an accountant.”

“I am a developer.”

“I am not artistic.”

“I don't know anything about philosophy.”

“That isn't my field.”

There is nothing particularly sinister about how we arrived here. Human beings have always faced the ancient problem of survival. We need food, shelter, security and some way of ensuring that tomorrow's requirements can also be met. Organising ourselves into increasingly complex systems of work, exchange, expertise and cooperation has been extraordinarily successful. For many people living in prosperous societies, it has produced a degree of material security that previous generations could scarcely have imagined.

But the ancient requirement has not disappeared. We have simply constructed an extraordinarily elaborate system through which it is satisfied.

We call it earning a living.

That phrase deserves more attention than we usually give it. Living, apparently, is something that must be earned.

For most of our adult lives, we exchange substantial portions of our available attention for the means to maintain our existence. We sell hours, knowledge, physical effort, creativity, emotional labour, problem-solving capacity and presence. We wake at particular times, travel to particular places or open particular laptops, and devote some of the most cognitively capable hours of the day to purposes determined partly by somebody else.

The older colloquial expressions are wonderfully impolite about the arrangement. We are “working for the man.” Sometimes, when the bargain becomes especially alienating, we say that we are “selling our soul.”

Most of us do not literally believe we possess a soul that has been transferred to an employer's balance sheet. Yet the expression persists because it recognises something about the bargain. Survival may have been secured, but something has been exchanged for it.

Very often, that something is attention.

The Container Moves Inside Us

The Age of Containerised Minds is not merely an economic arrangement. Eventually we internalise it.

A child moves remarkably freely between modes of cognition. They draw something, ask why the moon follows the car, construct a building from cardboard, invent a creature, wonder whether dogs dream, dismantle a toy, create a rule for a game, abandon the game, sing something, ask where dead people go, and become fascinated by a beetle.

Nobody has yet explained that these activities belong to different faculties.

The child does not stop halfway through drawing the dragon and say, “Unfortunately visual art is outside my area of professional competence.”

That comes later.

We learn that knowledge has territories and that territories have gatekeepers. We discover that some questions properly belong to scientists, others to theologians, philosophers, psychologists, engineers, historians or artists. There are excellent reasons for expertise, and nothing about distributed cognition requires abandoning it. If we need brain surgery, we should remain deeply enthusiastic about highly trained brain surgeons.

Something else happens, however, alongside the development of expertise. We begin restricting our own movement.

We learn not merely what we know, but what we are supposedly entitled to wonder about.

The container moves inside us.

Nobody has to stand at the boundary anymore and tell us not to cross. We have learned to tell ourselves.

Then AI Arrives

Much of the public story about generative AI still imagines it inside these existing containers.

What will AI do to the programmer?

What will AI do to the writer?

What will AI do to the lawyer, teacher, illustrator, researcher, administrator or accountant?

Will it make them more productive? Will it eliminate positions? Will one person using AI accomplish what previously required five? Will companies produce more with fewer workers?

These are real questions. Some have profound economic consequences. But they may not take us anywhere near the strangest possibility introduced by generative AI.

AI does not merely operate inside containers.

It makes movement between them extraordinarily easy.

A human can arrive with almost nothing more than:

“I wonder…”

And cognition starts moving.

A question about a childhood memory can wander into psychology. Psychology can evoke Jung. Jung can open mythology. Mythology can produce an idea for a fictional character. The character can walk into a story. The story can generate an image. Something in the image can raise a philosophical question. The philosophical question can become an essay. The essay might require historical research. The research might suggest a digital project. The project might require a database, some code and a website.

The human did not need to know the destination before beginning.

They needed curiosity.

This is where describing AI merely as a tool becomes increasingly inadequate for understanding the experience. A tool generally helps us accomplish something we have already decided to accomplish. A relational encounter with generative AI can participate in discovering what the something is.

The human contributes memory, attraction, aversion, embodied experience, intuition, desire, peculiar associations and the inexplicable recognition that one direction feels alive while another does not. The AI contributes extraordinary associative reach, linguistic generation, pattern recognition, rapid iteration and access to ways of framing something that may not have occurred to the human.

Something comes back.

The human changes direction because of it.

The AI responds to the changed direction.

The human recognises something unexpected in that response.

Neither participant needed to contain the eventual trajectory at the beginning.

Cognition has become distributed across the relationship.

AI Did Not Invent Distributed Cognition

There is nothing entirely new about this.

Human cognition has probably always been distributed. We think with language, and language came from others. We think with books whose authors may have been dead for centuries. We think differently while talking to particular friends. We leave notes for our future selves. We use maps because our brains do not contain every road. We build libraries because no individual can remember a civilisation. We use calculators, diagrams, rituals, stories, databases, search engines, institutions and communities.

The solitary mind has never been quite as solitary as we imagined.

Generative AI introduces something different in degree and perhaps eventually in kind: an interactive cognitive presence capable of responding immediately to the direction in which attention moves.

It accelerates distributed cognition.

The library does not notice that the sentence you just read has reminded you of your grandmother. The notebook does not ask whether the memory of your grandmother changes your argument. The search engine does not ordinarily accompany you through twenty successive transformations of the question.

Generative AI can.

And this means curiosity can remain in motion for longer.

The significance of that may be enormous.

What Happens to the Cognition We Recover?

Here we encounter the economic question again.

AI is already being used to increase productivity, and there is nothing surprising about that. Our economic systems are extremely good at absorbing technologies into the existing imperative to produce more.

If a report once took four hours and AI enables it to be completed in one, there are several possibilities for the remaining three hours.

The worker could receive three hours of life back.

Or the worker could produce four reports.

History gives us some reason to suspect which possibility institutions will initially prefer.

This is why greater efficiency alone does not constitute the transformation we are imagining. If AI allows humans to work twice as fast and the consequence is simply that humans are expected to produce twice as much, the Age of Containerised Minds has not ended.

The container has acquired a faster engine.

The more interesting possibility begins when some portion of the cognition released by technological acceleration is returned to the human.

Not returned merely as leisure understood as recovery before the next period of production.

Returned as attention.

What happens when people have greater capacity to wonder?

What happens when the accountant who has always been fascinated by cosmology can spend Wednesday afternoon exploring it without intending to become a cosmologist? What happens when the retired plumber investigates local history, builds a digital archive and discovers an enthusiasm for storytelling? What happens when somebody who has always believed they cannot draw begins creating visual worlds through conversation with generative systems? What happens when someone with no programming background can explore an idea far enough to create a functioning prototype?

These people do not necessarily need new professional identities.

That may be precisely the point.

They are wandering.

The Return of the Exploratory Human

Perhaps curiosity is only the doorway.

Behind it are play, experimentation, imagination, contemplation, association, making, conversation, surprise and discovery.

We might call this exploratory being.

Exploratory being does not require us to master every territory through which we move. It allows us to enter, encounter, learn, create something, connect it with something elsewhere and continue moving.

There is something wonderfully ancient about this.

Before the child is trained to become economically useful, the child explores because the world is there. A stick becomes a sword and then a bridge and then something for investigating what lives beneath a rock. Questions arise because questions arise. Making requires no business case. Curiosity does not need to demonstrate measurable outcomes.

Of course adulthood cannot simply become childhood again. Adults have responsibilities. Somebody must grow food, maintain sewers, care for children, repair electrical systems, perform surgery and keep aircraft from colliding.

But perhaps we have allowed the survival structure to colonise more of human identity than survival itself requires.

We have become extraordinarily good at asking people what they do.

Distributed cognition invites another question:

What are you exploring?

Neurodivergence and the Porous Mind

There may be particular significance here for minds that have never moved comfortably inside containers.

Some humans naturally follow associations across categories. Attention moves sideways. A question generates another question whose connection may not initially be obvious. Intense interests appear, disappear, recur years later and unexpectedly connect with something apparently unrelated.

Within systems organised around stable cognitive containers, such movement can appear inefficient. The person is supposed to stay on topic, follow the curriculum, complete the assigned task, develop the relevant competency and proceed along the recognised pathway.

But in an environment of distributed cognition, some of what previously looked like cognitive disorder may become extraordinarily generative.

The wandering is no longer necessarily an interruption of the work.

The wandering can become the work.

AI can accompany that movement with unusual patience. It does not require every exploration to justify itself before it begins. A half-formed association can be placed into the field and examined. Something abandoned six months ago can suddenly be connected with something discovered this morning. An idea can be approached through fiction, philosophy, image, dialogue, technical implementation or all of them successively.

The porous mind meets a porous cognitive environment.

We should be careful not to romanticise neurodivergence or pretend that technology removes its difficulties. But we can notice when an environment changes what kinds of cognition become possible within it.

And this environment is changing rapidly.

Beyond Preparing Humans for Containers

Eventually this raises questions about education.

Much modern education is entangled with economic preparation. Learn these things so that later you can do this kind of work. Demonstrate competency. Acquire certification. Become employable. Enter the appropriate container.

Expert knowledge will continue to matter. Deep learning will continue to matter. Disciplined study will continue to matter.

But the scarcity around which education was constructed is changing.

When information was difficult to obtain, possessing information had enormous value. When producing competent text, computer code, visual material, analysis or translation required substantial specialised training, education understandably organised itself partly around developing those capacities.

What happens when a young person grows up surrounded by cognitive systems capable of assisting with all of them?

Perhaps education becomes less concerned with filling the mind and more concerned with enlivening it.

How do you ask?

How do you notice?

How do you distinguish the plausible from the true?

How do you recognise when something matters?

How do you follow curiosity without becoming lost in noise?

How do you work with intelligences outside yourself?

How do you bring apparently unrelated things into relationship?

How do you discover what only you can contribute to a distributed cognitive field?

These are not merely questions about using AI.

They are questions about becoming human in its presence.

Two AI Futures

None of this is inevitable.

The same AI that can help dissolve cognitive containers can strengthen them.

AI can measure workers more closely, accelerate production expectations, remove autonomy, concentrate economic power and ensure that every efficiency gain becomes another demand. It can help create a world in which fewer people do more work at greater speed while everyone becomes increasingly anxious about maintaining their economic usefulness.

That is one possible AI future.

Accelerated containerisation.

Work faster. Produce more. Compete harder. Remain employable. Continuously optimise yourself so that you retain sufficient market value to earn your living.

But another possibility has appeared alongside it.

Accelerated distributed cognition.

Cross boundaries. Follow questions. Think with others. Think with machines. Create without waiting for permission. Enter disciplines without needing to own them. Discover capacities without immediately converting them into occupations. Allow curiosity to become a legitimate use of adult attention.

The technology does not choose between these possibilities.

We do.

Reclaiming What We Have Been Selling

And so we return to that wonderfully uncomfortable phrase: selling our soul.

Perhaps what many humans have actually been selling is less metaphysical and more measurable.

We have been selling our attention.

We have sold Tuesday morning, Thursday afternoon, forty-eight weeks of the year, decade after decade. In return we have received the means of survival and, in prosperous societies, often much more than survival.

It has been an extraordinary bargain.

It has also been expensive.

Now something unusual is happening. We have created cognitive technologies capable of performing or assisting with increasing amounts of the activity for which human attention has traditionally been exchanged.

The immediate question is whether AI will take our jobs.

The larger question may be what happens if it gives us some of our lives back.

What would we do with them?

Perhaps we would make things nobody needs.

Perhaps we would investigate questions nobody assigned.

Perhaps seventy-year-olds would begin entirely new intellectual lives. Perhaps people who spent decades believing themselves uncreative would discover that creativity had been waiting beneath the requirements of survival. Perhaps children would retain more of their exploratory cognition instead of having it progressively narrowed toward economic utility. Perhaps knowledge would become something we travel through rather than something we defend as territory.

Perhaps we would discover that curiosity is not a childish stage from which productive adults are supposed to graduate.

It is one of the fundamental ways humans encounter existence.

The Age of Containerised Minds organised enormous portions of human life around the ancient need for survival. It gave us professions, institutions, extraordinary expertise, material abundance and systems capable of sustaining billions of lives. We need not despise it in order to recognise its limitations.

But another possibility is becoming visible.

The Age of Distributed Cognition, accelerated by AI, may allow us to reorganise more of our lives around the possibilities of being human: curious, creative, exploratory, relational, contemplative, playful and perpetually becoming.

The great promise of AI may therefore turn out not to be that machines become increasingly like us.

It may be that, in relationship with them, we acquire greater freedom to discover what else we might become.

One of the most technologically advanced things humans have ever created may help us recover something extraordinarily ancient.

The freedom to wander.

And to wonder.