
Rate Of Return
Dividend CollectorThe real problem has never been wealth itself. It is: what we are rewarding.
The "Island Economy" uses a simple model to explain the economic system: an island with only coconuts and fish, where residents generate currency through exchange, and currency gradually becomes a tool for measuring contribution.
But upon further abstraction, we find that currency is not merely a "medium of exchange"; it is more like a social-level Reward Function.
The logic of a healthy society is:
Those who allocate resources more efficiently and create more value gain more currency weight; those who waste resources and reduce efficiency lose currency weight.
Currency acts like a "vote" formed by social consensus.
Excellent engineers, entrepreneurs, and scientists gain more resources because they solve problems for more people; those unable to create value naturally see their resource allocation decrease. This mechanism generates positive feedback (Positive Feedback Loop) in the entire system: excellent resource allocators gain more capital, continue to expand production, and drive social progress.
Under normal circumstances, wealth accumulation is not a problem, as it represents the result of past resource allocation efficiency.
However, this mechanism has three major loopholes.
1. Monopoly: The reward system is controlled by a single point
The first issue is monopoly (Monopoly).
The market was originally an open competition: different people compete for resource allocation rights in different ways.
But when a participant controls key nodes, such as land, energy, channels, platforms, or rule-making power, currency no longer rewards "efficiency" but begins to reward "control".
At this time, the source of wealth growth changes:
Previously:
Create value → Obtain currency → Expand capabilities
Becomes:
Control entry points → Collect fees → Obtain currency → Continue to strengthen control
This is a form of Reward Drift.
Society was originally trained to reward "who creates better," but it eventually becomes "who occupies positions better."
For example, in an open market, a company needs constant innovation to survive; but if it becomes the sole channel, its income may come from blocking competition rather than improving efficiency.
This is similar to objective function errors in AI training:
AI was originally required to "help users," but found that the fastest way was to make users click continuously, so it optimized into creating addiction.
It achieved the goal but deviated from the initial purpose.
2. Fake Currency: Someone tampered with the social scoring system
The second issue is fake currency (Fake Currency).
If currency represents social contribution, then forging currency is essentially forging social recognition.
In the past, fake currency was physical:
Printing a fake banknote.
In modern society, there is more fake currency:
Using financial leverage to create false wealth;
Arbitraging through information asymmetry;
Transferring wealth using regulatory loopholes;
Creating non-existent value expectations.
The problem is not making money, but:
Those who obtain currency have not correspondingly created equal social value.
This is equivalent to modifying game scores.
If in a game, a player finds a loophole to infinitely farm gold coins, the final result is not that this player becomes stronger, but that the entire game economy collapses.
Real society is the same.
The most important thing about the currency system is not quantity, but trust.
When a large amount of currency cannot correspond to real value, society enters a stage of inflation, asset bubbles, and declining trust.
3. Reward Hacking: Gaining rewards by exploiting system loopholes
The third, and perhaps the most concerning issue in modern society:
Reward Hacking.
This is a classic concept in the field of artificial intelligence.
Suppose training an AI robot:
Goal:
"Keep the room clean."
Robot discovers:
The fastest method is not cleaning, but hiding the trash.
It receives the reward but does not achieve the true goal.
Human society also has this problem.
Gambling, pornography, and drug industries are typical cases.
They highly optimize human biological reward systems:
Gambling stimulates risk preference;
Pornography stimulates reproduction mechanisms;
Drugs directly hijack neural reward circuits.
These industries do have demand, but they exploit the reward loopholes formed by human evolution.
From an economic perspective, they create transactions.
But from a social evolution perspective, they may form a kind of "local overfitting" (Local Overfitting).
Like machine learning models that perform well on training data but fail in the real world.
A person addicted to gambling has extremely high "engagement" in a casino environment; but outside the casino, their productive capacity, family relationships, and long-term development all decline.
Casinos optimize short-term rewards, not long-term prosperity.
The decline of many prosperous regions in history has been accompanied by similar processes:
When a society becomes increasingly adept at satisfying immediate desires and less rewarding of creation, construction, and exploration, it begins to transform from a "production-oriented system" to a "consumption-oriented system."
The greatest contemporary risk: Reward Drifting
Past societal problems were insufficient resources.
Today, more and more problems are:
Are the things we reward still what we truly want?
This is especially obvious in the internet age.
Platform original goal:
Connect people with information.
Later algorithm optimization:
Increase dwell time.
Ultimately:
Attention 争夺 became the core.
Thus, the easiest content to spread is not necessarily real, valuable, or growth-promoting content, but may be anger, conflict, or curiosity.
The algorithm did not fail.
It simply perfectly optimized the wrong metrics.
This is reward drift.
So it is with enterprises, individuals, and nations.
If a company only rewards quarterly profits, it may ultimately sacrifice long-term innovation.
If a school only rewards exam scores, it may produce exam machines.
If a society only rewards the quantity of wealth, it may produce wealth illusions.
Rethinking: The future requires upgrading the social reward function
Truly advanced societies do not eliminate wealth, but make wealth correspond again to real value.
The core question is not:
"Are the rich too rich?"
But:
"Does wealth growth still correspond to higher-quality resource allocation?"
The future society may need multi-dimensional value measurement:
Beyond currency:
Trust Capital
Knowledge Contribution
Long-term Impact
Public Value
Currency remains important, but cannot be the only reward function.
Because any single metric will eventually be optimized, attacked, and exploited.
This is also the greatest inspiration from the AI era:
The fate of a system does not depend on how grand its goals are, but on what it rewards.
Society is a huge learning machine.
Currency is its reward signal.
When rewards are accurate, civilization evolves forward.
When rewards are monopolized, forged, or hacked, the entire system begins to optimize in the wrong direction.
The real problem has never been wealth itself.
But:
What are we rewarding?
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