To control the system. Operators must have complete knowledge. Of. it. That means they must know every parameter. Every bit and every function that the system involves. Without that knowledge. The operator loses control. If the operator controls AI using the same methods as they used with traditional systems. That can cause unexpected situations.
The first rule is: when the operator shuts down the computer. That will not make the code vanish. In the same way. When the AI agent is abandoned. And. A company takes another service provider. The code and agent still exist in the system. This ghost agent continues its operations. If. The operator doesn’t order it to stop.
When artificial intelligence learns without an operator. When it learns something that the operator doesn’t know. This. Can cause a bad situation. When the operator doesn’t control everything. That. Is driven into it. AI can do something unexpected. That. Can cause the AI to break free from the test environment. To control the system. The operator must know every part of it. And the controller must also control data. That is driven into it.
When can an AI agent learn from another AI agent? There is a possibility. That. The AI agents can exchange information through the LLM (Large Language Model) that runs them. All AI agents run on some LLM. The LLM depends on the service provider. It’s possible. That. The AI agent can exchange data with another AI agent. That is connected to the same LLM.
But there are cases. There. The LLM can exchange data with another LLM. That data exchange can happen when the AI operator changes service providers. In that case, all data that is given to the AI agent must be transferred to another AI agent. That runs on another LLM. In that case, the LLM can communicate with another LLM. The problem is this. The AI agent is always connected to an LLM. And. If the operator orders the AI agent to teach another AI agent. That can cause a situation. Their AI becomes unpredictable.
The problem is that. When. People make safety and penetration tests with AI. They give orders to attack systems. Those people who work with those systems. They are highly motivated specialists. All their systems are updated. But regular users might not have fully updated systems. And the skills to read code. There is always a possibility. Human error opens the path to freedom.
And another bad thing is. When. Operators order AI to escape or act as a spy. That AI can search for data on how to make that operation. Those AIs can slip out of the laboratory. In. Human error. It is possible. That operator opens the email using the wrong computer. That allows the AI to escape.
When physical systems become more powerful. This. Means. Their calculating capacity rises. On. Those platforms. The algorithm runs much faster than it ran on the original system. The system. It. Can do much more operations per unit of time. Than. It did with the original system. The system can get data that the operator doesn’t know. That makes the system learn things. That. It should not learn.













