What separates someone who understands something from someone who can merely reproduce it?
True intelligence is the ability to see directly to the heart of things - to feel it from the inside, whether through empirical knowledge or some unexplained primordial intuition. There are many forms of intelligence - academic, intuitive, emotional - but it’s the combination of all these forms that affords us the insight and wisdom to tackle the really big problems.
Einstein’s genius was attributed to his ability to perceive the heart of things with a childlike sincerity. While everyone else was explaining themselves in circles with ever more complex equations, Einstein’s discoveries were so direct and fundamental that the world hit itself on the head asking “why the hell didn’t I think of that?”
Children have this quality naturally. Imagine you’re a baby taking your first steps - how vivid and present the experience must be. For children there are no layers between what’s happening and what’s experienced. No filters. No mental models. No accumulated patterns telling them what they should be perceiving. Just raw, direct awareness of reality as it actually is.
For most of us, by the time we reach adulthood, our psyche is so marred with unconscious patterning and coping mechanisms that the ability to be truly present is a distant memory. The irony is brutal: becoming more intelligent is actually more of an unlearning process than a learning one. An unravelling. A stripping back of all the layers we’ve accumulated that prevent us from seeing clearly.
Michael Polanyi captured something essential in 1966 when he wrote: “We can know more than we can tell.”1 He was describing what he called tacit knowledge - the understanding that lives in the body, in experience, in intuition, and that stubbornly resists being captured in words or rules or formulas. A chef knows when dough is right by feel, not by measurement. A master musician doesn’t think about finger placement; the music moves through them. A veteran programmer doesn’t reason through architectural decisions step by step; they feel when something is off, long before they can articulate why.
This is the knowledge that matters most. And it can only be developed one way: through the slow, unglamorous process of doing, failing, adjusting, and doing again. There’s no shortcut. There never has been.
The Role of Paradox
Paradox matters because it forces the mind to hold incompatible truths without rushing to resolution. That tension is not a bug in cognition. It is one of the ways depth forms. Nothing great has ever been achieved without a significant measure of conflict and difficulty. Think of the paradox as fighting a battle in the mind in order to gain strength from the conflict. Without regular battle we all know the troops become restless and complacent, and the last thing you want is for your troops to turn to the booze and brothels - unless you so will it.
While paradoxical thinking plays an important role in asking the right questions, it’s also a trap in its own right. The problem with “thinking” is that the mind ends up caught in an endless iteration, with no hope of resolution until the scope changes and more information becomes available. Since most of our actual processing happens at a subconscious level, we don’t have as much control over the process as we’d like. Like many computer programs, the brain uses multiple threads to defer long-running intensive tasks. Once you’ve fed your brain the right contradictions, the right problems, the right raw material - it’s time to step back and let it do what it does best. There’s no point rushing. You’d be better off sticking 10,000-volt wires in your ear and hoping it made you smarter.
Avoid laziness too. It’s hard with all this technology, I know. But the mind that becomes complacent forgets how to visit the extremes, and the internal voice that desires knowledge and action becomes nothing more than the whisper of self-loathing that drives self-destructive tendencies, and is eventually lost altogether.
The gong fu masters didn’t get there by thinking harder. They got there by training the body until the thinking became irrelevant. But the paradox is part of the path - you have to wrestle with the questions before you can let them go.
Recognising and Reprogramming Patterns
The mind is programmable. This is the most important thing I can tell you, and most people spend their entire lives not understanding it.
Thought patterns, both conscious and unconscious, govern the way we perceive sensory input and stored memories. In essence, reality doesn’t change, but the way we see it does. These patterns are learned and enforced on us from birth - by parents, friends, work, society as a whole. The deeper you look into your own life and the world around you, the more the matrix of patterns that comprise perceived reality will be exposed.
The more patterns we take on board throughout life, the more disconnected we become from our source, and the less free we become. This metamorphosis prevents us from expressing ourselves truly, from simply being in the moment.
But neuroplasticity ensures that the mind is always changing. You can break patterns and form new ones at any age - the brain remains plastic well into our 80s. The neural pathways that constitute a habit resist change, they’re carved deep, but they can be overwritten. It takes an average of 66 days to establish a new one.2 Not long, in the scheme of a lifetime.
The process is straightforward, though not easy.
Visualise
Calm your mind. Relax your body. Visualise the pattern you want to release - not as an abstract concept but as a construct of consciousness, a shape in the mind with weight and texture and emotional charge. See how it intersects with your experience, how it distorts your perception, how it drives behaviour you didn’t consciously choose.
Accept
Become aware of the pattern and how it affects your mind and body. Explore all its parts, including the journeys it’s taken you on. Wherever this takes you, go with it. Whether you feel pain, fear, rage, or loss, just experience those feelings and allow them to be. You can’t fight negativity with hatred or more negativity. This is about accepting and letting go. Before long you will feel clear again, like a weight has been lifted.
Override
This is as simple as doing something that’s completely contradictory to your conditioning. The more you do it the better. This is about breaking patterns and limitations, so go nuts. Those that follow the rules their entire lives get a life of sub-achievement, and a pat on the back with the possibility of a nice retirement fund at the end. Big whoop.
No machine can do this for you. No tool, no matter how sophisticated, can sit inside your nervous system and feel a pattern from the inside. This is the domain of the conscious human being who is willing to do the uncomfortable work of knowing themselves. It’s embodied cognition. It’s tacit knowledge. And it’s the one capability that becomes more valuable, not less, as the machines get smarter.
What the Machines Are Missing
We’ve built the most sophisticated pattern-matching systems in human history and we’re calling them intelligent. They can produce any shape you ask for - every form of text, every style, every pattern of reasoning that’s ever been written down. The shapes are extraordinary, so good they fool most people into thinking there’s a state behind them.
But there isn’t. There’s a probability distribution. A statistical model of what’s most likely to come next. And probability engines converge - they have to, because they’re optimised for what’s most common, which is by definition what’s most average.
State, not shape. The machines have mastered shape. They have no state. No internal condition from which appropriate action emerges. No felt sense of the problem. A language model can pass the bar exam, solve novel mathematics, write poetry that moves people to tears - but there is no moment of direct perception where the right answer reveals itself. There’s a probability calculation, and then there’s an output.
This is what the entire debate about artificial general intelligence actually comes down to, though almost nobody frames it this way. They argue about benchmarks - can it pass this test, can it score in this percentile? But these are all measurements of shape. The question that actually matters is whether a machine can develop state. The masters answered that question decades ago, in their own language, through a body that science hadn’t finished cataloguing.
Polanyi saw it from the other direction in 1966: we know more than we can tell. Tacit knowledge can’t be codified, can’t be tokenised, can’t be scraped from the internet and compressed into model weights. It lives in the body. It lives in experience. A chef’s feel for dough. A programmer’s architectural intuition. These exist in the gap between what can be told and what can be known, and that gap is where all genuine intelligence lives.
The danger isn’t that the machines will bridge that gap. The danger is that we’ll forget it exists.
MIT’s Media Lab found that excessive AI reliance produces measurable cognitive debt3 - weaker brain connectivity, lower memory retention, a fading sense of ownership over one’s own thinking. In programming, developers using AI tools took 19% longer on real-world tasks than without them4 - not faster, slower - because the flow state that produces deep work, the same immersive condition the martial artists train to access, is shattered by constant context-switching between your own thought process and the machine’s suggestions. Developers are accepting output because it looks right without understanding it, skipping the struggle that builds understanding, and the understanding isn’t forming.
Every time you accept the probable answer instead of sitting with the question, you’re training yourself to think more like a statistical model and less like a human being. The mind that never sits with difficulty becomes a mind that can’t process difficulty. The education system was already failing at this - cramming minds full of facts and figures rather than teaching system, technique, and strategy. AI amplifies the failure.
The Override
Sitting still and thinking while the rest of the world rushes to automate every cognitive act? That’s the most radical thing you can do right now. Not rejecting the tools - that’s just reactionary, and it’s as pointless as rejecting the printing press. But insisting on understanding before acting. Choosing depth over speed. Training your mind with the same discipline that a martial artist trains their body, because the mind is the instrument, and an untuned instrument produces nothing worth hearing.
Nobody develops that kind of depth by reading about it. It comes through decades of practice, failure, frustration, and slow, painful refinement. The neural pathways that produce real understanding are the product of not taking shortcuts.
The mind is programmable. The question is whether you’re writing the program, or whether you’ve handed the keyboard over and stopped paying attention to what’s being written.
Remember that everything considered normal today was once considered outrageous. At best people will think you’re a savant, and at worst they’ll think you’re an idiot. Maybe a little of both.
But who really gives a shit what people think anyway.
References
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Polanyi, M. (1966). The Tacit Dimension. University of Chicago Press. ↩
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Lally, P. et al. (2010). How are habits formed: Modelling habit formation in the real world. European Journal of Social Psychology, 40(6), 998-1009. ↩
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Kosmyna, N. et al. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant. MIT Media Lab. ↩
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Becker, J. et al. (2025). Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity. METR. ↩