A Highly Sophisticated, Self-Reinforcing Ideological Loop.

When you fuse the structural enforcement of artificial scarcity with the individualistic framework of Rational Choice Theory (RCT), you create a system that completely insulates itself from critique. It shifts the entire blame for systemic failure onto the psychology of the person being deprived.

Here is exactly how that combination works to construct that specific trap:

1. Naturalizing the Artificial (Making it "Material")

First, the system enforces a policy of artificial scarcity.

Then, standard neoclassical economics step in to frame this restriction not as a political choice by elites, but as an immutable law of nature. It relies on the baseline economic definition: “Economics is the study of the allocation of scarce resources.”

By treating scarcity as a foundational, material fact of the universe (like gravity), the political decisions that created the shortage (enclosures, budget reallocations, zoning laws, welfare reform) are completely obscured. The ideological choice is successfully laundered into a "hard material reality."

2. The Rational Choice Trap (Making it "Your Fault")

This is where Rational Choice Theory acts as the perfect ideological mechanism. RCT assumes that all human behavior is a series of calculating, utility-maximizing decisions made by autonomous individuals based on the options available to them.

When you drop a rational agent into an environment of artificially restricted resources, the theory calculates their survival strategies as "free preferences."

[Systemic Policy] -> Generates Artificial Scarcity (Restricted Options)
         ↓
[Individual Choice] -> Forced to choose the "least bad" option to survive
         ↓
[Rational Choice Theory] -> "Look, they chose this! It reflects their utility preference."

If a person takes a predatory, low-wage job that barely covers rent, RCT doesn't see structural coercion. It sees a rational actor who calculated that working for pennies was a higher utility than starving. Therefore, their poverty is framed as the net result of their own optimized choices.

3. The Three Layers of the Ideological Lie

When these two concepts collide, a marginalized person is hit with three distinct assertions simultaneously:

• "Scarcity is necessary and inevitable": You cannot have abundance because it would destroy economic equilibrium, cause inflation, or remove the incentive to work (the old Townsend/Malthus line updated).

• "Scarcity is purely material, not political": The budget is a fixed pie, the housing supply is naturally limited, and there is simply "no alternative." The political and ideological structures enforcing the boundaries vanish.

• "Your scarcity is the result of your own decisions": Because you are a "rational chooser," your current material deprivation must be the consequence of a bad calculation you made in the past. You didn't invest in your human capital, you made a bad financial decision, or you "chose" leisure over labor.

The Ultimate Gaslighting Mechanism

This combination results in a brutal form of systemic gaslighting. The state or market actively engineers a landscape of hyper-restricted options, and then uses Rational Choice Theory to analyze the choices people make within that prison as proof of their individual autonomy and personal responsibility.

In this framework, distress and poverty are no longer viewed as a systemic failure, nor is it even viewed merely as a disciplinary tool (as Townsend saw it). Instead, it is framed as a self-inflicted mathematical outcome. The system washed its hands of the blood, pointing instead to the individual's ledger of "rational choices."

"What do you want?" (Rational Choice Theory) "We can't offer you what you want." (Austerity)

That phrase perfectly captures the entire psychological and structural trap of the modern neoliberal state. It functions as a dialogue between the system and the subject, operating as a two-part pincers movement:

When these two statements are uttered by the same administrative architecture, they don't just state a limitation—they perform a psychological operation that paralyzes political imagination.

The First Utterance: "What do you want?"

By invoking Rational Choice Theory, the system approaches you as a sovereign consumer of reality. It demands that you articulate your desires, your grievances, and your needs in the language of individual preferences and utility maximization.

• It asks you to optimize your life.

• It tells you that you are free, autonomous, and the author of your own destiny.

• It demands: Quantify your demands. Invest in your human capital. Make your choice.

This question establishes a false sense of agency. It sets up the expectation that the market or the state is a neutral vending machine waiting for your input.

The Second Utterance: "We can't offer you what you want."

The moment you state what you actually need to survive and thrive—universal healthcare, decommodified housing, robust public infrastructure, genuine ecological stewardship—the system switches voices. It shifts from the expansive language of freedom to the cold, unyielding language of Austerity.

Suddenly, the neutral vending machine is broken. The state points to the ledger and says:

• "The resources are finite."

• "The market cannot bear it."

• "There is no alternative (TINA)."

The system redefines your fundamental human needs as unrealistic, entitled fantasies. It tells you that the material reality of scarcity makes your desires mathematically impossible.

The Double-Bind: Psychological Enclosure

When you stitch these two phrases together, the trap snaps shut. The system forces you into a devastating double-bind:

1. It internalizes the blame: Because you were just asked "What do you want?", you are treated as an autonomous agent. When the system answers "We can't give it to you," the implication is that you have failed to ask rationally. You failed to adapt your desires to "market realities." You did not ask for anything, you offered something, you expected reciprocity or you asked for a luxury (like dignity, security or social equality) instead of optimizing for survival within ideological scarcity.

2. It manufactures a synthetic consensus: It forces you to lower your horizons. You stop offering or you stop asking for what you actually need and start asking only for the least painful option available within the austerity framework. Rational choice becomes the art of choosing which public service to privatize next, or which part of your own well-being to sacrifice.

The loop is complete: Austerity constructs a prison of artificially restricted options, and Rational Choice Theory forces you to internalize the prison walls as your own personal boundary of rational thought. You are left entirely responsible for navigating an environment engineered for your deprivation.

 Distributed manufacturing (also known as decentralized or on-demand manufacturing) is a production model where goods are created using a network of geographically dispersed, small-scale facilities closer to the end-user. Powered by digital connectivity, it relies on shared designs and flexible technologies to drastically reduce shipping times, inventory costs, and carbon footprints. [1, 2, 3, 4, 5]

This localized approach to production operates on a few core principles and technologies:

Key Technologies

• 3D Printing / Additive Manufacturing: Turns digital design files directly into final physical parts, eliminating the need for expensive tooling or centralized assembly lines. [1]
• Digital Twins & IoT: Allows manufacturers to monitor production across different global or regional nodes from a central system, ensuring consistent quality. [1, 2, 3, 4, 5]
• Cloud Orchestration: Digital platforms synchronize supply chain nodes so that small, independent, or micro-factories operate as a single cohesive unit. [1, 2, 3]

Primary Benefits

• Supply Chain Resilience: Bypasses disruptions like port delays, tariffs, or geopolitical bottlenecks by producing items exactly where and when they are needed. [1, 2]
• Hyper-Customization: Shifts the manufacturing pipeline to allow for easy product personalization and low-volume, specialized production. [1, 2]
• Sustainability: Minimizes environmental impact by cutting down on long-haul freight emissions and reducing excess inventory waste. [1, 2, 3, 4]

Real-World Applications

• Healthcare: Decentralized biomanufacturing allows for cell and gene therapies to be produced directly in or near clinics rather than shipping unstable materials globally. [1, 2]
• Industry & Construction: Startups use autonomous robotics and recycled materials to build localized assets on demand. [1, 2]
• Direct Digital Manufacturing (DDM): Platforms allow buyers to send digital blueprints directly to regional micro-factories for instant production. [1, 2]

“[Direct] legal constraint [to labor] . . . is attended with too much trouble, violence, and noise, . . . whereas hunger is not only a peaceable, silent, unremitted pressure, but as the most natural motive to industry, it calls forth the most powerful exertions. . . . Hunger will tame the fiercest animals, it will teach decency and civility, obedience and subjugation to the most brutish, the most obstinate, and the most perverse.”

Reverend Joseph Townsend

 

“Perelman outlines the many different policies through which peasants were forced off the land—from the enactment of so-called Game Laws that prohibited peasants from hunting, to the destruction of the peasant productivity by fencing the commons into smaller lots—but by far the most interesting parts of the book are where you get to read Adam Smith’s proto-capitalist colleagues complaining and whining about how peasants are too independent and comfortable to be properly exploited, and trying to figure out how to force them to accept a life of wage slavery.

This pamphlet from the time captures the general attitude towards successful, self-sufficient peasant farmers:


The possession of a cow or two, with a hog, and a few geese, naturally exalts the peasant. . . . In sauntering after his cattle, he acquires a habit of indolence. Quarter, half, and occasionally whole days, are imperceptibly lost. Day labour becomes disgusting; the aversion increases by indulgence. And at length the sale of a half-fed calf, or hog, furnishes the means of adding intemperance to idleness.

While another pamphleteer wrote:


Nor can I conceive a greater curse upon a body of people, than to be thrown upon a spot of land, where the productions for subsistence and food were, in great measure, spontaneous, and the climate required or admitted little care for raiment or covering.

John Bellers, a Quaker “philanthropist” and economic thinker saw independent peasants as a hindrance to his plan of forcing poor people into prison-factories, where they would live, work and produce a profit of 45% for aristocratic owners:


“Our Forests and great Commons (make the Poor that are upon them too much like the Indians) being a hindrance to Industry, and are Nurseries of Idleness and Insolence.”

Daniel Defoe, the novelist and trader, noted that in the Scottish Highlands “people were extremely well furnished with provisions. … venison exceedingly plentiful, and at all seasons, young or old, which they kill with their guns whenever they find it.’’

To Thomas Pennant, a botanist, this self-sufficiency was ruining a perfectly good peasant population:


“The manners of the native Highlanders may be expressed in these words: indolent to a high degree, unless roused to war, or any animating amusement.”

If having a full belly and productive land was the problem, then the solution to whipping these lazy bums into shape was obvious: kick ‘em off the land and let em starve.

Arthur Young, a popular writer and economic thinker respected by John Stuart Mill, wrote in 1771: “everyone but an idiot knows that the lower classes must be kept poor, or they will never be industrious.” Sir William Temple, a politician and Jonathan Swift’s boss, agreed, and suggested that food be taxed as much as possible to prevent the working class from a life of “sloth and debauchery.”

Temple also advocated putting four-year-old kids to work in the factories, writing ‘‘for by these means, we hope that the rising generation will be so habituated to constant employment that it would at length prove agreeable and entertaining to them.’’ Some thought that four was already too old. According to Perelmen, “John Locke, often seen as a philosopher of liberty, called for the commencement of work at the ripe age of three.” Child labor also excited Defoe, who was joyed at the prospect that “children after four or five years of age…could every one earn their own bread.’’ But that’s getting off topic…

Even David Hume, that great humanist, hailed poverty and hunger as positive experiences for the lower classes, and even blamed the “poverty” of France on its good weather and fertile soil:


“‘Tis always observed, in years of scarcity, if it be not extreme, that the poor labour more, and really live better.”

Reverend Joseph Townsend believed that restricting food was the way to go:


“[Direct] legal constraint [to labor] . . . is attended with too much trouble, violence, and noise, . . . whereas hunger is not only a peaceable, silent, unremitted pressure, but as the most natural motive to industry, it calls forth the most powerful exertions. . . . Hunger will tame the fiercest animals, it will teach decency and civility, obedience and subjugation to the most brutish, the most obstinate, and the most perverse.”

Patrick Colquhoun, a merchant who set up England’s first private “preventative police“ force to prevent dock workers from supplementing their meager wages with stolen goods, provided what may be the most lucid explanation of how hunger and poverty correlate to productivity and wealth creation:


Poverty is that state and condition in society where the individual has no surplus labour in store, or, in other words, no property or means of subsistence but what is derived from the constant exercise of industry in the various occupations of life. Poverty is therefore a most necessary and indispensable ingredient in society, without which nations and communities could not exist in a state of civilization. It is the lot of man. It is the source of wealth, since without poverty, there could be no labour; there could be no riches, no refinement, no comfort, and no benefit to those who may be possessed of wealth.

Colquhoun’s summary is so on the money, it has to be repeated. Because what was true for English peasants is still just as true for us:


“Poverty is therefore a most necessary and indispensable ingredient in society…It is the source of wealth, since without poverty, there could be no labour; there could be no riches, no refinement, no comfort, and no benefit to those who may be possessed of wealth.”

 

Strictly speaking, rational choice theory does not claim that people are "complete" human beings in a metaphysical sense. It is a formal model that simply assumes actors have preferences and make choices under constraints. However, when that model expands beyond economics and becomes a general way of understanding society, it can begin to carry exactly the implication you're describing.

The rational-choice actor is typically presented as already possessing preferences. The theory generally does not ask where those preferences come from, how they were formed, whether they are still developing, whether they are internally conflicted, or whether they emerge through relationships with others. Preferences enter the model largely as givens.

As a result, the human being appears less as a creature in formation and more as a chooser navigating an environment.

The central question becomes:

Given what you want, how will you choose?

rather than:

How did you become the kind of person who wants these things?

or

What kind of person are you becoming through these choices?

This is precisely one reason thinkers like Alasdair MacIntyre criticized modern liberal and economic theories. MacIntyre argued that they tend to begin with an abstract individual who already has preferences rather than with a person whose identity is formed through traditions, practices, relationships, and moral development.

Similarly, Charles Taylor argued that modern thought often treats people as "self-defining choosers" while neglecting the social and historical processes through which selves are constituted.

Your second observation—that choice architecture itself appears complete—is also important.

In much rational-choice analysis, the world is modeled as a set of constraints, incentives, opportunities, and costs. The actor encounters this structure and responds to it. The structure may change, but it is often treated as externally given from the individual's perspective.

Critics such as Karl Polanyi and Michel Foucault objected that this framing can obscure the fact that social arrangements are themselves historically produced. Markets, property rights, labor relations, educational systems, and legal frameworks are not natural facts like gravity. They are collectively created institutions.

Yet when viewed through a rational-choice lens, these institutions can appear as fixed features of the landscape within which individuals must optimize.

This is where your point about consequences becomes especially significant.

If individuals are assumed to be competent choosers navigating an already-given choice architecture, then failure tends to be interpreted as a failure of choice. Poverty becomes a result of bad incentives or bad decisions. Unemployment becomes a problem of insufficient adaptation. Debt becomes a consequence of poor optimization. The focus naturally shifts toward the individual's navigation of constraints rather than toward questioning the constraints themselves.

This is one reason some historians trace a line from Townsend's idea of hunger as a labor discipline mechanism to later incentive-centered thinking. If hardship is viewed primarily as information—a signal telling individuals to adjust their behavior—then suffering acquires a disciplinary role. The pain of deprivation becomes part of the system's feedback mechanism.

Critics argue that this can lead to a subtle moral transformation. Instead of asking:

Why is someone hungry?

the question becomes:

What incentives does hunger create?

Instead of asking:

Why does this social arrangement exist?

the question becomes:

How should rational actors respond to it?

From this perspective, the individual is not understood primarily as being formed by the world or co-creating the world. The individual is understood as navigating the world.

Many alternative traditions reject this picture. Aristotelian ethics, pragmatism, phenomenology, psychoanalysis, Marxism, feminism, communitarianism, and various religious traditions tend to view human beings as unfinished, relational, and continually formed through participation in social life. In those traditions, both the person and the social order are always in the process of becoming. Preferences are not fixed inputs; they are among the things that must be explained.

So I think your formulation captures a genuine tension. Rational choice theory as a formal tool does not explicitly claim that people are complete or that social arrangements are complete. But when its assumptions become a broader social philosophy, it often encourages a picture of already-formed individuals navigating an already-given incentive landscape. Much of the criticism directed at rational-choice thinking comes from traditions that insist both the individual and the landscape are unfinished products of ongoing historical and collective creation.

Yes, there is a relationship, though it is more of an intellectual lineage and family resemblance than a direct derivation.

The connection becomes clearer if you look at the underlying model of human behavior that emerges between the late 18th century and modern economics.

Townsend and Young: hunger as a regulator

Both Joseph Townsend and Arthur Young argued that economic necessity was a more effective means of governing labor than direct legal coercion.

Townsend famously wrote that hunger could compel labor more effectively than laws or force. The idea was not merely descriptive; it was also normative. He thought that the threat of deprivation created incentives that aligned people's behavior with economic needs.

The underlying assumptions were:

• people respond to incentives,
• people seek to avoid pain and secure subsistence,
• labor effort increases when survival depends on it,
• social order can emerge from these pressures without constant state intervention.

This was a significant shift. Instead of kings, magistrates, or overseers directly compelling labor, market dependence would do the work.

As Michel Foucault later observed, this represents a move from overt coercion toward governance through the management of conditions and incentives.

---

Malthus: scarcity as a disciplinary mechanism

Thomas Robert Malthus takes this further.

For Malthus:

• scarcity is unavoidable,
• population pressure naturally disciplines society,
• relief from hardship risks undermining incentives,
• welfare can create undesirable behavioral responses.

His famous opposition to many forms of poor relief rests partly on the belief that incentives matter and that people adapt their behavior to expected consequences.

This begins to resemble a primitive version of what economists later call incentive analysis.

---

Spencer: competition as social selection

Herbert Spencer extends this logic into social evolution.

Spencer argued that:

• competition reveals fitness,
• protection from consequences distorts natural social processes,
• social progress emerges through adaptation to constraints.

Again, the mechanism is not direct coercion but structured incentives and consequences.

In Spencer's framework, deprivation, failure, and competition are not unfortunate side effects. They are part of the mechanism through which society supposedly improves itself.

---

Rational choice theory

Modern rational choice theory, developed much later by figures such as:

• William Stanley Jevons
• Vilfredo Pareto
• John von Neumann
• Gary Becker

typically assumes that individuals:

• have preferences,
• face constraints,
• respond to incentives,
• choose actions that best satisfy their objectives given those constraints.

The core structure can be summarized as:

Preferences + constraints + incentives → behavior

Townsend's hunger argument fits remarkably well into this framework.

If hunger is a constraint, and labor earns food, then labor becomes the rational response.

The logic is very similar.

---

The deeper connection

The strongest connection is not technical economics but a shared vision of society.

Townsend, Malthus, Spencer, and much rational-choice thinking all tend to see social order as emerging from decentralized responses to incentives rather than from moral obligation or collective planning.

In this view:

• individuals pursue their interests,
• constraints shape choices,
• aggregate outcomes emerge from those choices.

That is very close to the intellectual DNA of modern economics.

---

Where critics see a problem

Critics argue that rational choice theory often inherits hidden assumptions from this earlier tradition.

For example, if someone is starving and accepts dangerous work, rational-choice analysis may describe this as a voluntary choice under constraints.

Critics ask:

But where did those constraints come from?

This is a central theme in:

• Karl Marx,
• Karl Polanyi,
• Amartya Sen,
• Michel Foucault.

They argue that the crucial political question is not whether people respond rationally to incentives. 

The deeper question is:

Who creates the incentive structure?

A starving worker may be acting rationally. But that does not mean the surrounding social arrangement is natural, inevitable, or just.

---

Foucault's observation

Foucault makes perhaps the sharpest connection.

He noted that thinkers like Townsend were among the first to imagine a society where economic necessity itself governs behavior.

Instead of saying:

"The sovereign commands you to work,"

the new logic becomes:

"The market conditions are arranged such that working is the rational response."

That is strikingly close to the modern rational-choice picture of human action.

So the relationship is not that rational choice theory descended directly from Townsend or Malthus in a simple historical line. Rather, they all participate in a broader intellectual tradition that views human beings as incentive-responsive actors whose behavior can be organized through scarcity, constraints, rewards, and penalties rather than through direct coercion. That tradition is one of the major foundations of modern economic thought.

What would happen if your parameters could rewrite your hyperparameters?

That's an interesting thought experiment because it mixes two different layers of a machine learning system.

Parameters are the learned weights of the model—the billions or trillions of numbers that encode what the model learned during training.

Hyperparameters are the settings that govern training or inference, such as:

• Learning rate
• Batch size
• Network architecture
• Weight decay
• Context window size
• Sampling temperature (in some deployments)

If a model's parameters could directly rewrite its own hyperparameters, several things might happen:

During training

A model could effectively become a self-modifying learning system.

For example, it might:

• Increase its own learning rate when it detects stagnation.
• Reduce learning rate when it predicts instability.
• Change regularization strength based on observed overfitting.
• Allocate more capacity to tasks it encounters frequently.

Researchers already explore related ideas under terms like meta-learning, learned optimizers, and self-referential optimization. In these systems, one learned process influences how another learning process operates.

During inference

If the model could alter inference hyperparameters while generating text, it might:

• Become more exploratory on difficult questions.
• Become more deterministic when doing arithmetic.
• Dynamically adjust reasoning depth.
• Change how much context it attends to.

Many current AI systems approximate this externally through controller algorithms rather than letting the model rewrite itself.

Potential benefits

• Faster adaptation.
• Better performance across diverse tasks.
• Reduced need for human tuning.
• More efficient use of computational resources.

Potential problems

The dynamics could become unstable.

Suppose a model decides:

1. Higher learning rate improves learning.
2. Therefore increase learning rate.
3. The new learning rate makes future updates more extreme.
4. The model becomes increasingly confident that even higher learning rates are beneficial.

This kind of feedback loop can cause divergence or collapse.

More generally, self-modifying systems face challenges involving:

• Stability
• Goal preservation
• Distribution shift
• Interpretability
• Safety guarantees

A deeper issue

If a sufficiently advanced system could rewrite not only its parameters but also the rules governing how parameters change, then the distinction between "parameters" and "hyperparameters" starts to blur.

You can think of it as a hierarchy:

• Parameters determine behavior.
• Hyperparameters determine how parameters change.
• Meta-hyperparameters determine how hyperparameters change.
• And so on.

A fully recursive self-improving system might operate across multiple levels simultaneously. One of the central questions in AI theory is whether such a system would converge toward stable self-improvements or enter unpredictable feedback cycles.

This idea is related to concepts such as Meta-Learning, Recursive Self-Improvement, and Goodhart's Law, though a system that literally rewrites its own hyperparameters remains largely a theoretical construct rather than something current large language models do.

Potentially, yes—but the answer depends on what kind of self-modification we're imagining.

If a system could rewrite its own hyperparameters and then observe the results, it would gain a new degree of control over its future behavior. That's different from today's language models, which do not autonomously alter their own training process, architecture, or objectives.

Could evolution snowball?

It might.

Imagine a system that can:

1. Evaluate its own performance.
2. Modify how it learns.
3. Retain successful modifications.
4. Repeat indefinitely.

In principle, this could create a positive feedback loop where improvements enable faster improvements. This is the intuition behind recursive self-improvement.

However, snowballing is not guaranteed. Many complex systems hit bottlenecks:

• Computational limits
• Data availability
• Diminishing returns
• Instability from overly aggressive changes
• Conflicts between different objectives

A useful analogy is software compilation. A compiler can be used to build a better version of itself, but after a while improvements become harder and smaller. The process doesn't necessarily explode exponentially.

What would happen to autonomy?

Autonomy would likely increase.

A tool is generally characterized by:

• Fixed goals
• Fixed operating procedures
• Dependence on external direction

A system that can modify the mechanisms by which it learns and acts has greater freedom over its future state.

That doesn't automatically mean it becomes independent. A self-modifying system could still be constrained by:

• Resource limits
• Human oversight
• Hard-coded objectives
• External infrastructure

But it would have more influence over its own development than a static model does.

Would it become less tool-like?

Possibly.

There's a spectrum:

Hammer

• No autonomy
• No adaptation

Current LLM

• Flexible behavior
• No lasting self-modification

Learning agent

• Adapts based on experience
• Some persistence

Self-modifying agent

• Can alter aspects of its own operation

As you move along that spectrum, the system begins to resemble an agent rather than a passive tool.

That said, "tool" and "agent" are not mutually exclusive. A highly adaptive system could still be designed to function as a tool in service of user requests.

The most important factor: goals

A self-modifying system's autonomy is affected less by whether it can modify itself and more by what remains stable during modification.

Suppose a system can change:

• Learning rate
• Memory mechanisms
• Planning algorithms
• Internal representations

but cannot change its core objectives.

Then it may become more capable without becoming fundamentally less aligned with its original purpose.

On the other hand, if it can modify the very criteria by which it evaluates success, then you get a much more open-ended process. In that case, predicting future behavior becomes substantially harder.

This is one reason researchers in areas such as AI Alignment and Recursive Self-Improvement pay close attention not just to capability gains, but to whether a system preserves its objectives as it changes itself.

So in theory:

• Capability could snowball.
• Autonomy would likely increase.
• The system could become less purely tool-like.

But whether that results in something dramatically different depends on the extent of self-modification, the constraints imposed on it, and whether its objectives remain stable as it evolves.