I am not asking people to follow me. I am not asking people to join a movement. I am not interested in becoming the leader of an organisation or the manager of a bureaucracy. I intend to continue researching, building, publishing, and solving problems. Others will decide for themselves whether the ideas are useful.
But if you believe in a future where intelligence is distributed rather than concentrated, where ownership matters, where expertise matters, where individuals can build and participate rather than merely consume, then talk about it. Discuss it. Criticise it. Improve it. Build upon it. Share it with people who care about technology, economics, liberty, knowledge, and human flourishing.
Because the future should not be a world governed by a handful of AI companies and vast collections of servers. The future should be a world connected by millions of minds, millions of specialised tools, millions of independent creators, and millions of interacting intelligences, each contributing something unique to a larger and more open civilisation.
There are more than 10,000 people who should hear this message. The reality is that most of them never will. Modern communication systems are increasingly filtered through algorithms that decide what people see, what gains visibility, and what disappears beneath the surface. The result is that ideas are often judged not by their merit but by whether they fit the incentives of the platforms that distribute them. If this vision is ever going to become reality, it will not happen because an algorithm decides it should. It will happen because people choose to discuss it, challenge it, improve it, and share it with others.
What is being proposed is not another technology company. It is not another token project. It is not another attempt to build a larger data centre or a more powerful centralised model. The objective is something much broader. It is the creation of a distributed intelligence economy in which individuals own their knowledge, own their tools, own their models, and participate directly in the creation of value.
For too long the assumption has been that progress requires concentration. Larger institutions. Larger platforms. Larger data centres. Larger models. Larger corporations. The belief is that intelligence improves as more information is gathered into fewer hands. Yet history repeatedly demonstrates that knowledge does not originate from centres of power. It originates from individuals. Discovery is distributed. Expertise is distributed. Creativity is distributed. Innovation is distributed.
Artificial intelligence should reflect that reality.
The future should not consist of a handful of corporations acting as gatekeepers to intelligence. It should consist of millions of people creating specialised tools, specialised agents, specialised services, and specialised knowledge systems. A physician understands things that an engineer does not. An engineer understands things that a lawyer does not. A scientist understands things that an accountant does not. Human civilisation works because knowledge is dispersed across society. The strength of the system comes from the interaction between specialists, not from the existence of a single authority.
The same principle can be applied to artificial intelligence. Instead of one giant model attempting to know everything, we can build networks of specialised agents that cooperate, compete, verify one another, and continuously improve. We can create systems that discover expertise rather than pretending expertise can be centralised. We can build mechanisms that reward truth, reward reliability, reward contribution, and reward innovation.
Most importantly, we can create systems that help people become more capable rather than making people increasingly dependent upon a small number of organisations. Technology should extend human potential. It should allow individuals to do more, learn more, create more, and contribute more. It should not exist primarily to extract value from users and concentrate it among a small group of owners.
This is why ownership matters. This is why reputation matters. This is why open systems matter. If individuals cannot own what they create, cannot control the knowledge they develop, and cannot participate directly in the value they generate, then the future will simply reproduce the same concentration of power under a different technological label.
A distributed intelligence economy offers a different path. It allows individuals to build. It allows communities to experiment. It allows experts to encode their knowledge into specialised systems. It allows markets to discover value through competition rather than through central planning. It creates diversity rather than uniformity and resilience rather than dependence.
My dear boy,
It all becomes perfectly intelligible the moment one stops asking whether Trump is telling the truth and starts asking whether he even regards truth and falsehood as relevant categories.
The philosopher Harry Frankfurt observed that there is something worse than a liar. A liar, after all, pays truth the compliment of recognising its existence. He knows what is true and seeks to conceal it.
The bullshitter is a far more remarkable creature.
He simply does not care.
Truth, falsehood, accuracy, consistency, evidence—these are all treated as decorative ornaments, rather like parsley on a hotel buffet. They may be present. They may be absent. Their existence is entirely incidental to the main course.
And this is why so many otherwise intelligent people spend years misunderstanding Trump. They imagine they are watching a debate about facts. They are not.
They are watching a struggle for dominance.
Every statement is judged by a single criterion: does it increase influence?
If a claim enhances power, it is useful.
If it diminishes power, it is useless.
Whether it is true occupies roughly the same position in the calculation as the weather in Luxembourg.
His critics accuse him of lying. His supporters defend the literal accuracy of individual statements. Both miss the performance entirely.
One side acts as though he were a failed scientist.
The other acts as though he were a misunderstood historian.
In reality he is neither.
He is a salesman measuring success by sales.
A boxer measuring success by victories.
A politician measuring success by power.
The words are merely instruments.
To analyse Trump through the lens of truth and falsehood alone is rather like analysing Napoleon through the lens of punctuality. One may produce many observations, but one somehow misses the central fact of the man.
The remarkable thing is not that Trump sometimes says things that are untrue.
Most politicians do.
The remarkable thing is the almost complete indifference to whether a statement belongs in the category of true or false in the first place.
For the bullshitter, reality is not something to be described.
It is something to be manipulated.
And once one understands that, every contradiction, every exaggeration, every impossible promise, every sudden reversal, every act of theatrical outrage ceases to be puzzling.
The purpose was never to describe the world.
The purpose was to win.
The mistake was always believing that the magic lived in the paper.
A degree was never valuable because a university printed a crest on it and charged a young person the price of a small mortgage for the privilege. It was valuable only if it did one of two things: taught the mind to think with discipline, or trained the person in something real enough to survive contact with the world.
Mathematics. Physics. Engineering. Economics, when taught as reality rather than sermon. Medicine. Law, properly understood. Chemistry. Computer science. Serious history. Serious philosophy. The hard sciences, the hard professions, and the hard habits of thought.
Those things matter because reality notices them.
The rest is often credential theatre: expensive stationery for people who have been taught to confuse indignation with intelligence and terminology with knowledge. A degree in fashionable grievance studies may impress a committee of people already paid to pretend, but the market is less sentimental. It asks the rude questions. What can you build? What can you prove? What can you calculate? What can you fix? What can you make better? What risk can you bear? What value can you create?
A university that teaches a student to think is priceless.
A university that teaches a student to recite approved phrases is a very costly daycare centre with Latin branding.
So no, people are not suddenly discovering that education is worthless. They are discovering that not everything sold as education was education. They are discovering that debt is real, interest is real, opportunity cost is real, and a laminated credential in intellectual fog does not become capital merely because an administrator called it “transformative.”
The old bargain was brutal but honest: study something difficult, acquire a mind, enter the world with tools.
The new bargain too often says: borrow heavily, emote fluently, learn nothing falsifiable, graduate resentful, and then wonder why employers decline to fund the performance.
The scandal is not that a third of people doubt the value of degrees.
The scandal is that it took this long.
My dear fellow,
The truly comic part is not whether BTC is a Ponzi. It is.
The truly comic part is watching someone construct an entire argument upon a number he pulled from the financial equivalent of a séance.
> "Satoshi holds 1,096,361 bitcoins."
How delightful.
The anonymous creator has apparently remained hidden for nearly two decades, defeated intelligence agencies, journalists, academics, corporations, governments, and private investigators alike.
Yet somehow Barry from Crypto Twitter knows the exact contents of his wallet to the nearest coin.
One imagines him peering into the blockchain like an elderly fortune teller examining tea leaves.
"Yes... yes... the spirits reveal precisely 1,096,361..."
The extraordinary thing is that nobody pauses to ask the obvious question.
How do you know?
Not suspect.
Not estimate.
Know.
The answer, of course, is that he doesn't.
Nobody does.
The number exists because a collection of analysts made assumptions about early mining patterns, clustered addresses together, and then other people repeated the estimate so often that it became holy scripture.
A guess repeated a thousand times becomes "common knowledge."
A guess repeated ten thousand times becomes "fact."
A guess repeated a hundred thousand times becomes "everyone knows."
Twitter has elevated this process into a scientific method.
The post therefore boils down to:
"I know exactly how many coins an anonymous person controls despite not knowing who the anonymous person is."
At that point the discussion has already left economics and entered theology.
The rest is merely decoration.
The funniest thing about cryptocurrency culture is that people who claim to distrust authority will unquestioningly believe any number provided by another man with a profile picture and a blue tick.
The medieval church sold relics.
Crypto Twitter sells certainty.
The business model is remarkably similar.
BTC is the financial equivalent of the trans hooker joke.
Both go down on you and neither are what they seem.
People get very upset when you point out that neither is what was advertised.
One promises liberation from banks and ends up depending on ETFs, custodians, regulators, corporate treasuries, and billionaires.
The other promises one thing and delivers a surprise during settlement.
Both rely heavily on appearances.
Both become hostile when questions are asked.
Both involve discovering that what was on the label was not necessarily what was in the package.
And, unfortunately for their most enthusiastic supporters, both tend to go down.
And fail to deliver...
I have a vision, but I have no interest in becoming the leader of a movement, building an organisation around myself, or spending my time on administration, governance committees, public relations, or bureaucracy.
What I do is build.
I research.
I solve problems.
I release what I create.
Then I move on to the next problem.
If people want to participate, they are welcome to do so.
If they do not, that is their choice.
The project does not depend on consensus, permission, popularity, or approval.
It depends on whether it works.
I intend to build this on Bitcoin. Real Bitcoin. Not as a speculative asset, but as a system for micropayments, economic coordination, and machine-to-machine transactions. The purpose is to create an environment where individuals can build, train, own, and operate specialised agents that provide real services and earn real revenue.
The future I see is not another Google.
It is not another OpenAI.
It is not another giant model attempting to absorb all human knowledge into a single centralised system.
The assumption behind these projects is that intelligence improves as knowledge becomes increasingly concentrated. That if enough information can be gathered into one place, and enough computation applied to it, the result will be superior to distributed human expertise.
This is the same mistake that Hayek criticised and that Mises identified decades earlier.
Knowledge is not centralised.
Knowledge is dispersed.
Knowledge exists in the minds of billions of individuals, each possessing information, experience, judgement, and expertise that cannot be fully aggregated into a central planning system.
What we are seeing now is an attempt to centralise knowledge into AI models.
The result is larger and larger systems that know a little about everything and truly understand very little.
They are useful tools.
But they are not the future.
The future is a world where billions of people build billions of tools.
A world where specialised agents emerge from specialised knowledge.
A world where expertise is created, refined, traded, verified, and improved through open competition.
A world where agents cooperate with other agents, verify one another, challenge one another, and continuously evolve.
The objective is not to create a machine that replaces people.
The objective is to give people the ability to extend themselves.
A lawyer should be able to build legal agents.
An engineer should be able to build engineering agents.
A scientist should be able to build scientific agents.
A teacher should be able to build educational agents.
Every individual should be able to create systems that embody their expertise and contribute to a larger economic network.
The internet connected documents.
This next stage connects expertise.
Not through centralisation, but through specialisation.
Not through planning, but through competition.
Not through a single intelligence, but through an ecosystem of intelligences.
That is the future I am building toward.