Unpredictable actions make human behavior hard to predict.
"To be, or not to be"
98% of generative AI projects fail. The reason for that is that researchers try to replace humans. But is this the only thing that causes failures? Another thing that can cause failure is this: people try to use AI for purposes. There, it cannot operate. When we think. About those cases, there is always a possibility that people misunderstand. Things about what they should do. There is a possibility that people try to use AI as a tool that makes something impossible. And one of those things is. To use the AI. To make predictions about economics.
Economics, psychology, and sociology are not exact sciences like mathematics and physics. The AI can calculate things like the energy levels of particles quite easily. If it knows all quantum fields. And all other things. That interacts with that thing. A psychological effect. Makes it impossible to make predictions about the economic advances. Human behavior is unpredictable. When we go out and say. We go for a walk. For 30 minutes. But we might not do that thing.
Feelings and imagination are things. That allows us to make unpredictable things.
We should always react to similar stress in similar ways. But we use only successful ways to respond to the challenges. If we don’t get successful feedback. We change the method. How to respond to the challenge. Every action that we do is a small challenge. When we cross the road, there is always a possibility that a car will hit us. When we walk to the shop, there is always a possibility that we slip on the icy street. That’s why there must be an alternative route.
There is always a possibility that a burglar breaks into the shop, and the police keep the shop closed. Or the milk car can have an engine failure. Causing a lack of milk in the shop. Most everyday challenges involve a risk of injury. Or even die. If we cannot act right. If we just run to the road. Without caring about anything, there is a possibility that we run straight under the car.
We can make a U-turn just outside the door and walk back in. We can change our direction for any visible reason. The reason why we make that U-turn could be that we just want to turn around. When a particle turns its direction, there must be some outside reason. The behavior of the particles and radiation is predictable. If we know the entirety. And the thing that makes us unpredictable is feelings. If we feel that we cannot accept something, we don’t do that thing, even if our sense says something else.
This makes things like economics hard to predict. We should have knowledge of how certain persons react. In certain situations. But the problem is that we cannot know everything that the person faced during their life. And those missing parts can be the most. important things for that person. This is why it’s hard to predict how people react in certain situations.
One of the reasons why behavior models are failing is that people hide data. Making predictions of the behavior of large groups of humans is much easier. When the group that AI uses grows. That means that the accuracy in the behavior of those people increases. But when we try to predict the behavior of a single person. We must collect all the data of them. We can see from that data how a person reacts to certain situations. If that person faces a similar situation. We can predict when. That person faces a similar situation again. That person will always act in a similar way in all similar situations if the way the person used was successful.
The thing that makes us unpredictable gives us a big advantage over our competitors. The ability to make unpredictable moves and solutions makes predators hard. To track. And hunt us down. This is the ultimate ability in nature. Abstract thinking is the tool. That gives us the ability to make plans. That gives us the ability to operate unpredictably.
