Everything Breaks at the Center

Anthropic this week unveiled Claude Mythos, an AI model capable of autonomously attacking critical software infrastructure – including the systems global banking runs on. It is powerful enough that the company chose not to release it publicly. The reason our banking system is so vulnerable was already sketched by an economist in 1875. He found it admirable.

In Money and the Mechanism of Exchange (1875), William Stanley Jevons sketched a diagram: one bank, two merchants, every payment settling between them without a coin changing hands. Scale that up and the same logic recurs – two banks in a town, then many, then branch systems, then every country bank routing through a London agent. Whatever complexity he added at the top, the diagram kept doing the same thing: collapsing into a single point at the bottom.

By the final version that point had a name: C.H. The Clearing House on Lombard Street. Every banker in the United Kingdom feeding into it.

Jevons admired the mechanics of what had emerged. But the system had another side. Precisely because it was so centralized, it was acutely sensitive to shocks: dependent on confidence, on reserves, and on nothing going badly wrong at the center. Elegance and fragility were two sides of the same structure.

Jevons saw the center as a place where things could go wrong. He did not see it as a target. AI makes it one. It can identify the center. It can breach it. It can turn it against the whole system. Over the next 150 years, the system did not correct this fragility. It reinforced it.

The Only Direction the System Has Ever Moved

Every banking crisis has left the center larger than it found it. After the Savings and Loan collapse of the 1980s, larger banks absorbed the remains. The deregulation wave of the 1990s accelerated consolidation. After 2008, JPMorgan took Bear Stearns and Washington Mutual; Bank of America absorbed Merrill Lynch. Each crisis produced a new generation of banks too large to be allowed to fail.

The Financial Stability Board’s list of globally systemically important banks is meant as a warning, but functions as a credential. Inclusion signals an implicit state backstop: cheaper funding, faster growth, greater systemic weight. The mechanism identifies risk, then reinforces it.

As Lyn Alden observes in Broken Money, fractional reserve banking resembles musical chairs: stable while the music plays, fragile when it stops. Each disruption has led to fewer, larger chairs.

The underlying mechanism is structural. Gold was reliable but too slow for a telegraphic economy. The dollar enabled speed but required centralized ledgers controlled by banks and states. Control over the fastest network became control over money. Once global communication scaled, bank-led systems dominated and entrenched that control.

Centralization wasn't greed. It was the logical answer to a speed problem – and, each time the center cracked, the reflex answer to crisis. Not less center. More.

The Godfather of AI Moves His Savings

In April 2025, Geoffrey Hinton gave an interview to CBS. Nobel laureate, one of the architects of modern AI, the man who quit Google to warn the world about what he'd helped create. He talked about superintelligence and machines that deceive. Then, almost in passing, he mentioned that he had started spreading his money across three Canadian banks. His reasoning was simple: "Suppose the bank holds shares that I own. Suppose the cyber attack sells those shares. Now my money's gone."

He wasn't pulling his money out of the banking system. He was diversifying within it – because he no longer trusts any single institution to survive what is coming.

The godfather of AI, hedging against the thing he invented. Not with a theory. With a wire transfer.

The Model That Knows Too Much

This week, Anthropic announced something surprising. The company had built its most powerful model, discovered what it could do – and declined to release it.

The model is called "Claude Mythos“. In pre-release testing it turned out to be extraordinarily capable at one thing in particular: breaking into software. It identifies previously unknown vulnerabilities, writes exploit code, and chains multiple flaws together to penetrate complex systems – autonomously, without a specialist operator guiding it. Over the past few weeks, Anthropic used it to identify thousands of zero-day vulnerabilities in every major operating system and every major web browser. Some of those flaws had survived nearly three decades of expert human review.

Anthropic's response was Project Glasswing: controlled access for around 50 organizations – JPMorgan Chase, AWS, Apple, Microsoft, Nvidia, Google – to find and patch vulnerabilities before anyone else gets there first. Use the dangerous thing defensively, before someone else uses it offensively.

The key word is proliferate. The concern is not what fifty vetted organizations do with Claude Mythos. It is what happens when the next version reaches everyone else. Glasswing is what it looks like when there is no architectural alternative. There is no exit from the center. You can only try to harden it.

When the Attack Surface Is the Business Model

A centralized system has chokepoints. Places where breaking the right thing means the whole network feels it. That's not incidental – it's structural. The clearing house works precisely because everything flows through it. Jevons understood this in 1875 and found it beautiful.

But a chokepoint is also, by definition, a target.

AI makes attacks not merely faster but qualitatively different: automated, adaptive, capable of chaining vulnerabilities in ways that would take a human team weeks to engineer. A model like Claude Mythos doesn't need a specialist operator. It is the operator. The same concentration that makes the banking system efficient now defines its attack surface – and the tools to exploit that surface have just crossed a threshold that Anthropic itself found alarming enough to withhold from the public.

Bitcoin: A Network With No Center to Hit

Bitcoin has been running since 2009. It has weathered protocol bugs and chain splits that would have required a central authority to call – and recovered without one. There is no clearing house to attack. No Lombard Street room where everything converges. Bitcoin removes an entire class of threat by removing the center itself.

That is a genuine engineering achievement – not ideology, but design. In a world where Anthropic withholds a model because it can autonomously penetrate every major operating system, a system with no operating system to penetrate has something to say.

But the reality is more complicated than the clean version suggests.

The protocol has no center. The ecosystem around it does. Most people who own Bitcoin use exchanges – centralized ledger-keepers holding client assets, exactly the kind of institution Jevons would recognize. The collapse of FTX in 2022 did not touch Bitcoin's protocol. It destroyed billions in customer assets anyway.

The same logic plays out on the second layer. The Lightning Network routes payments through nodes that concentrate. The top ten already control roughly 85% of Lightning's public capacity. The result is a hub-and-spoke topology – not unlike the structure Jevons drew 150 years ago.

Centralization is not a bug humans keep introducing by accident. It is the solution to problems decentralization leaves unsolved: speed, convenience, the ability to block a fraudulent transfer before your savings disappear into an irreversible chain.

The Exit That Never Existed Before

Unlike every previous monetary system, Bitcoin gives the individual the option to hold value without a custodian. Not the obligation. The option. No bank in history has offered that. No central bank, no clearing house, no payment network.

Most people will not use it. Many who try will make mistakes. But the option changes the architecture. Centralized custody in Bitcoin is a choice, not a structural necessity. In traditional banking, there is no alternative. You cannot hold a deposit outside the banking system. The custodial layer is not a convenience built on top of something sovereign. It is the system.

Lyn Alden's argument in Broken Money is that Bitcoin is the first technology that lets value move at the speed of telecommunications without requiring a centralized ledger-keeper. Whether that's sufficient at the scale of global finance is genuinely uncertain – the constraints are real, the institutional resistance enormous. But as a design principle, it asks a different question: what does financial infrastructure look like when there is no center to breach, capture, or coerce?

Both systems trend toward hubs. Only one lets you leave them.

Same Problem, Different Century

Amodei, CEO of Anthropic, built something powerful enough that he's withholding it from the world while trying to use it to patch the world's infrastructure. Hinton has spread his savings across three Canadian banks. Jamie Dimon is spending nearly $20 billion on technology this year. Some of it pays the company that built the most dangerous hacking tool in history to aim it at his own bank.

Three people who understand this technology better than almost anyone. Three different responses to the same underlying problem: a system built around a center, in an age when attacking centers has never been easier.

Jevons drew his diagram in 1875 and saw both things at once: the elegance of claims cancelling out, and the fragility of a system that depends on nothing going wrong at the center. He understood these were two descriptions of the same structure.

What he couldn't see was a technology that would make attacking that center not just possible but something a single AI model could do autonomously, overnight, across every major operating system on earth. That efficiency and resilience pull in opposite directions was always true. What's new is the scale of the pull.

The people who understand this best are no longer arguing about it. They're moving their savings. They're withholding their models. They're spending twenty billion dollars on locks.

Jevons admired the center. They're bracing for what hits it.