The most important subject for children in the age of AI is not coding. It is intelligence. Human and artificial.

Because the child who does not understand their own brain will meet artificial intelligence as magic. The child who does understand their brain will meet it as machinery. That difference may decide the future.

AI is fast, fluent and tireless. It retrieves, predicts, recombines and produces. It can write the essay, summarise the book, generate the image, solve the equation and sound clever while doing all of it. On raw compute, the machine wins.

So don’t train children to race the machine. Train them to understand what the machine is not.

A child has a brain in a body. A history. A nervous system. A face that can blush. A gut that can tighten. A memory that can ache. A sense of humour. A conscience. A capacity for empathy, paradox, doubt, curiosity and lateral thinking. And, most importantly, humans can gossip.

AI can generate an answer. A human can question the question.

For more than a century, schooling has confused intelligence with retrieval. Who remembers the fact? Who gets the answer first? Who can reproduce the approved paragraph under exam conditions? That game is over.

AI owns retrieval. The new human premium is creative agility: the ability to reframe a problem, challenge a premise, detect nonsense, invent alternatives, read emotion, weigh consequences and decide what matters.

Children need to learn the boundary line. Computation is not thinking. Pattern prediction is not judgement. Fluency is not truth. Output is not wisdom. This is the new literacy.

Without it, children become passive passengers in synthetic systems designed to capture attention, shape choices and manufacture certainty.

With it, they gain a cognitive vaccine against hallucination, bias, manipulation and machine-made confidence tricks.

The danger is not only that AI will make children lazy. The deeper danger is that it will make clever children more trapped. A highly intelligent child can use AI to build better arguments for a bad idea. More polished excuses. More elegant defences. More impressive versions of the same old Current View of the Situation (CVS).

That is the automated Intelligence Trap.

The solution is not fear. Fear teaches children to shrink. Mastery teaches them to steer.

Human intelligence education is neuroscience. It teaches children how their brains work: how attention is captured, how emotion drives judgement, how bias hides inside certainty, how curiosity opens alternatives, and how better thinking can be trained.

Emotional intelligence belongs at the centre of this curriculum. EQ is no longer a soft skill. In a synthetic world, empathy, restraint, courage, trust and discernment become survival technologies.

The apps will change. The models will change. The platforms will change. Today’s miracle tool will become tomorrow’s museum piece.

But metacognition lasts.

A child who can think about thinking has portable power.

AI should be introduced as an external cognitive instrument: powerful, useful, fast and subordinate. Not a commander. The child supplies the aim. The machine supplies assistance.

Children cannot control the algorithm. But they can learn to understand their own mental operations.

That is how we teach intelligence in the age of intelligence machines.

Neuroscience should be taught in Australian Primary Schools. – Dr Michael Hewitt-Gleeson (click to dive deeper)

On Friday, 16th August 2024, to launch this project, Dr Michael Hewitt-Gleeson was asked to design an introductory training program for teachers called Neuroscience 101.

It is now a foundational professional learning course designed for teachers, especially those who wish to teach neuroscience to kids in primary schools.

It explores how we think about thinking, introducing key neuroscience concepts like neuroplasticity. Based on Dr Hewitt-Gleeson’s bestselling books Software For The Brain and The 4th Brain, this online course empowers educators to bring neuroscience into the classroom and spark curiosity in young minds. Participants can learn how their brain works—and why every teacher should teach it.

This training is located here at Australia’s leading online teaching resource for educators at https://cool.org/course/neuroscience-101-getting-started

INTRODUCTION TO THE BOOK

YOU do not exist! The Theory of You is an idea from your brain. It’s a delusion. There are no neurons anywhere in the brain that can be found to support the idea of an existential ‘you’.

Your brain, however, really does exist. It’s your brain that tells you what you are to do next. So far on Earth there have existed about ten billion human brains yet no two brains have ever been the same. Every brain is unequal. Some brains have better biological luck than other brains. This is a fact of science that philosophers don’t like. And politicians just don’t understand.

In today’s fast world of neuroscience and AI research we can see that different brains now have different perspectives. In simplistic terms:

– The Y O U delusion: I tell my brain what to do.

– Scientific reality: My brain tells me what to do.

My own brain is a 1947 model. It was fully constructed from 1946 to around 1972. There has also been continuous wiring going on since then, even up to the finishing of this sentence. My brain always tells me what to do next.

The Theory of You is just a mind game that your brain plays, quite brilliantly. In this book we will look at ten games brains play, quite brilliantly.

– Michael Hewitt-Gleeson, author, Software For Your Brain (1989), Rome 2023.

THE BOOK

My books are gifts so, if you wish, pass them on to a friend who may be interested.

One of humanity’s more charming delusions is the belief that we are in charge of ourselves.

We may picture the conscious mind as a tasteful little president, seated behind a polished desk, weighing whether to have the second martini, send the email, forgive the brother-in-law, or to finally begin Proust.

Neuroscience, with its usual lack of manners, proposes a less flattering arrangement.

The president is mostly ceremonial. The real government operates downstairs, in a windowless neural basement, where electrical impulses, hormones, memories, fears, habits, and ancient survival programs are already drafting policy. By the time “you” decide, the brain has largely decided. You are not so much the author of the decision as its press secretary.

One’s brain tells one what to do. Then, with breathtaking confidence, it tells one what to do next.

This raises the awkward question: how did one acquire such a bossy brain?

The answer, it turns out, is a haphazard collaboration between Charles Darwin, your parents, and whatever happened to work out relatively well for you in the third grade.

Your brain is not a bespoke instrument of pure logic; it is a meticulously cobbled-together prediction engine, engineered for survival rather than originality. Like a fundamentally lazy bureaucrat, it operates strictly on precedent. It favours the heavy neural pathways laid down by years of cultural conditioning and repeated behaviour simply because electricity travels them with the least resistance.

While you cannot simply ask your brain to instantly adopt a new disposition, you can subject it to the gruelling, metabolically expensive labor of trained and directed thinking.

You can refuse its first, perfunctory offering. You can demand a Better View of the Situation (BVS). By deliberately forcing the brain into unfamiliar cognitive territory. Routinely, rigorously, and without pity. You eventually rewire the basement. You lay down new superhighways. Neuroscientists call this real feature of the brain neuroplasticity.

The brain is not designed for originality at all. It is designed for efficiency. It likes familiar pathways because they are cheap to run. In polite company, we call this personality. In neuroscience, it looks more like metabolic laziness with a good tailor.

MAIN POINT: The brain can be trained. Not persuaded with slogans. No. But trained. Daily. Deliberately. Repeatedly. One can be trained to interrupt the first automatic memo and ask for a much better one. cvs2bvs.

One cannot defy one’s brain.

But one can teach it to give better instructions.

Like, Do a GBB!

AI companies are no longer just hiring smarter people. They are buying bigger brains.

Constructed from GPUs, data centres, and billions invested in compute, this industrial shift reveals a simple truth observed by Anthropic co-founder Jack Clark: AI progress comes from training at scale.

Bigger models trained with more compute consistently become better models. The expected wall turned out to be a ramp.

This changes the economics of intelligence. Training is no longer mere research; it is infrastructure and geopolitics.

For the School of Thinking, the lesson is profound. Human brains improve through training x10. Training at scale. Artificial brains do, too.

OpenAI claim to have spent USD19 billion last year on training. Training at scale. More than wages. More than marketing. More than wages and marketing combined.

Yet Australian companies spend a mere fraction of wages and marketing on training.

It validates our foundational principle: Train Brain Daily! 

Escaping your Current View of Situation (CVS) to reach a Better View of the Situation (BVS) can be a trained cognitive reflex. If machines achieve x10 leaps through scaled training, biological brains can apply the same x10 strategy.

This demands a shift in human infrastructure: Should children be taught neuroscience in primary school?

Why wait?

Teaching neuroscience to 10-year-olds is the biological equivalent of scaling compute.

The universal law of intelligence is:. You get better by training—whether your brain is made of GPUs, or human synapses.

Jack Clark, Anthropic co-founder and author of Import AI, has argued that the story of modern AI is largely the story of training at scale.

In 2025, OpenAI reportedly spent around US$19.2 billion on training. Not on marketing. Not on salaries. On training.

That should get every CEO’s attention.

One of the biggest discoveries of the AI age is surprisingly simple: the more training you give intelligence, the better it performs. As Anthropic co-founder Jack Clark observed, every time more compute is allocated to training AI systems, they get better.

The return on training is enormous. Call it ROT: Return on Training.

The principle is hardly new. Olympic coaches understand it. No athlete wins a gold medal by accident. Performance follows training hours. The arts understand it too. Concert pianists, actors and musicians spend years refining their craft. The military has known it for centuries. Evan the Vatican, human history’s most successful organisation, typically invests around eight years training its priests (influencers) before sending them into the world.

When it comes to performance in sport, entertainment, science or sales, the world can be divided into two groups: the elite whose strategy is DAILY training, and everyone-else.

Yet many businesses still treat training as a cost rather than an investment.

Notice where most CEOs come from: finance, operations, sales, marketing or engineering. Very few come from training. That tells us something about how organisations value human development.

AI may change that.

The lesson from both artificial intelligence and human intelligence is the same:

if you want performance x10, invest in training x10.

The future belongs to organisations that take the strategic investment in elite training seriously.

•••

•••

From the last page 146, The x10 Memeplex: Multiply Your Business By Ten by Michael Hewitt-Gleeson, 2000, Pearson Education Australia (click to download the x10 book).

In December 2025, the Australian Institute of Sport AIS sought School of Thinking training for their elite level Olympic coaches who then qualified for a Diploma of X10 Thinking – DipX10(SOT). 

As a friend of SOT, if you would like to be considered for this new neuroscience and AI training your LESSON ONE begins here. There are no fees.

This elite training is not for everyone but everyone is invited. From experience we know that, very often, only 1 in 4 make it through to the end.

Each lesson has the SOT’s famliar DFQ (Daily Feedback Question). When you complete all 30 DFQs you can apply for your personalised School of Thinking Diploma which you may post on your Linked-In, if you wish. …

Australia is the first country in the world to have Olympic Head Coaches fully qualified as Brain Coaches

 LESSON ONE begins here.

Anyone not using AI to achieve their goals, aims and objectives risks being left behind. I use AI every day. I use AI to do lots of thought experiments. What if this … Just suppose that … Let’s try again etc etc.

Also, to help draw insights from academic research, gather interesting articles and relevant studies, explore new ideas, analyse data, generate alternative viewpoints, do x10 thinking (do a GBB), improve writing, create images and presentations, and provide background research for our School of Thinking mission: to get neuroscience, as a school subject, taught in primary schools in Australia.

If I only used AI to write articles from beginning to end, they would be second-rate articles. But if I did not use AI at all, it would take much longer to write, cover less ground, and be less well-researched.

AI need not be a replacement for thinking. It can be a multiplier of thinking.

Walk into almost any home today and you are likely to find a child chatting happily with a machine. Not using it, exactly. Chatting with it. The glowing rectangle has become tutor, entertainer, confidant, and occasional philosopher. It answers instantly, never gets tired, and rarely insists on homework before recreation.

The usual response to this technological upheaval has been to teach children coding. A sensible idea, perhaps, but not the most important one. Before children learn how machines think, they should learn how they think.

The curious thing about the human brain is that it arrives without a user manual. Children study mathematics, geography, and grammar, yet often reach adulthood knowing remarkably little about the three-pound organ making every decision they will ever make.

This matters because modern technology has become extraordinarily skilled at exploiting the brain’s shortcuts. Algorithms compete for attention with the determination of casino operators. Explain neuroplasticity to a child, the unsettling fact that repeated thoughts and habits physically reshape the brain, and suddenly endless scrolling begins to look less like entertainment and more like training.

And training matters.

For more than forty years, the motto of School of Thinking has been simple: Daily Brain Training. The reason is straightforward. Performance follows training. If we wish to multiply brain performance by ten, we must multiply brain training by ten.

Curiously, the same principle now governs artificial intelligence.

The spectacular rise of AI did not occur because machines suddenly became magical. It occurred because researchers dramatically increased the amount of training. As Jack Clark, co-founder of Anthropic, has observed, “Every time we dump more compute into the training of AI they get better so that – allocating more compute to the training of them – has turned out to be the most important insight to what subsequently has happened“.

The lesson for children is profound. Both biological brains and artificial brains improve through training. The difference is that AI companies invest billions training their machines, while many young people spend hours scrolling each day, accidentally training themselves the wrong way.

Neuroscience teaches children that their attention is not merely being consumed, it is being programmed. Once they understand that, AI loses its mystical aura. It becomes what it really is: a trained system. And the child begins to see themselves the same way, not as a passive consumer of technology, but as a brain in training.

If we don’t train kids about their brain then others will do it for them. There is no guarantee it will be done in their best interests.

That is why neuroscience should be taught to kids in primary schools in Australia.

Click for free information.

As neuroscience begins to find a place in primary schools, one important challenge must be addressed. Teachers need to be clear about what neuroscience is. And, what it is not.

Many educators are already familiar with psychology, wellbeing, mindfulness, philosophy, and social-emotional learning. These subjects can be valuable. But they are not the same as neuroscience.

A common mistake is to take an existing psychological concept and add a few references to “the brain.” Suddenly a lesson about emotions becomes a lesson about neuroscience. In reality, little has changed except the vocabulary.

The distinction matters.

Teaching arithmetic is not the same as teaching algebra. Algebra is not the same as calculus. They are related fields, but they ask different questions and require different ways of thinking.

The same is true here.

A psychologist might ask, “How does this child feel?”

A philosopher might ask, “What is the right thing to do?”

A neuroscientist asks, “What is the brain doing?” (Click here to dive deeper …)

What neural systems are involved? How does memory work? How does attention shift? What role do prediction, learning, emotion, and decision-making play inside the brain?

For today’s students, this distinction is especially important. They are growing up in a world increasingly shaped by artificial intelligence. Understanding the brain is becoming part of understanding intelligence itself.

The opportunity is not simply to teach children new words about feelings. It is to introduce them to one of the most important scientific discoveries of modern times: that behaviour, learning, emotions, and decisions emerge from the activity of an organ of their body. Their human brain.

If we get this right, neuroscience will become a genuine science subject, not just psychology with a brain-shaped logo.

TIP:
The simplest curriculum test may be:

“Could this lesson be taught without mentioning the brain at all?”

If the answer is yes, it may be a useful lesson. But it is probably not a neuroscience lesson.

(Click here to dive deeper …)

Click for free information.