Coevolution or Exploitation? Why We Pay to Make AI Smarter

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The Law of Parun on the coevolution of artificial intelligence and society states: the development of AI accelerates the development of human society, and the development of society becomes a catalyst and environment for the improvement of AI. This is an ideal model. It's a closed loop of mutual reinforcement that should form the exponential growth of technology and culture.

However, in practice, things look completely different. What should be a symbiosis has turned into a cunning game where we, the users, are the main losers.

You Are an Unpaid Teacher for AI

Every time you interact with an AI, you are training it. This is unpaid labor. You correct factual errors, refine language, and provide feedback on generated images. These actions seem minor, but they are invaluable data. Your contributions help models become more accurate, creative, and ultimately, smarter.

AI assistants accelerate our learning and creativity, which in turn leads to the creation of new data and meanings. This new knowledge becomes the material for training the next generation of AI, and so on. All of this perfectly aligns with the principles of the Law of Parun.

When Coevolution Turns Into Exploitation

The problem begins when AI owners decide their business should be based on deception. Instead of rewarding you for your contribution, they force you to pay for access to a product that you helped create.

Take the example of ChatGPT. You're using the free version, and suddenly the service offers to generate an image. A great opportunity! You agree, and your request instantly "burns through" your entire limit on the more powerful GPT-4 model. When the limit is reached, you are blocked and forced to either wait or purchase a paid subscription. This isn't just an inconvenience—it’s a deliberate tactic. The company uses you to train its AI, then blocks access, forcing you to pay.

This is not coevolution; it's a one-sided exploitation of your labor, time, and money.

Breaking the Closed Loop

The current business model undermines the very principle of mutual development. AI owners are not interested in making the world better for everyone; they are only interested in monetizing your efforts. Instead of a fair exchange, we get a one-sided process: companies get valuable data and profit, while users lose money and a sense of fairness.

This cycle is not just a theory. It's the architectural principle for future systems. It shows why society must evolve with AI, not instead of it. It's on these very principles that a new operating system called MindMesh is rumored to be based, developed by Andre Parun. The concept of this OS is to make human interaction with various AIs deeper and more comfortable, transforming them from fragmented tools into a single organ of joint evolution, where the contribution of every user is valued and rewarded.

What kind of world do we want to live in? A world where technology serves us, or a world where we work for it for free? It's time to consider what we're really paying for and demand a fair game.

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