Intelligent glasses and AI.

Intelligent glasses and AI. They don’t destroy our ability to think; we destroy our ability to think ourselves. We use AI without criticism. We don’t check the sources that AI uses. 

Intelligent glasses and AI are tools that can bring human-AI fusion and singularity closer. Intelligent glasses have miniature cameras. That makes it possible to transmit information to AI. That tool is incredible for both free time and business work. Intelligent glasses allow a person to work in public places. 

When a computer screen is connected to those systems. 

That keeps users’ privacy at a high level. When a programmer uses data glasses and looks at the screen. The AI reads that text and gives advice. But then that advance can turn the AI into a programmer. The idea is the same with a chess game; there, the person uses headphones, AI, and a camera to make perfect moves. The AI gives orders on where the player should make moves. In this case, the real winner is the AI. We say that we are afraid. That AI takes our jobs. But at the same time, working life requires more effectiveness. 

When we cry that programmers lose their jobs to AI. 

We forget that today companies have no time to train new workers. They want full-stack coders. And where can they find those full-stack coders if new programmers cannot get any practice? Without practice. There are no masters. This means that workers are forced to use AI. People must be effective. And there is no time to give advice. People fight for their workplaces. So, that means there is no time to think. People must not think; they must act. And that is a sad truth. Reality is that AI is here. And we must accept it.

When we think about the jobs that AI takes. Well. Those jobs are already outsourced to India and other places; there is time to train programmers. The only problem is this. There is no space to think. The only goal that measures effectiveness is money. 

Only goal. What we can put to ourselves is how to turn expertise into leadership. Leadership means that expertise and precision should turn into money-making. And that turns people to use AI. When we think that an untrained programmer who uses AI can produce results as fine as an engineer, the company selects an untrained person. 

The reason is simple: the engineer gets a higher salary. The untrained person who makes similar-looking things has a lower price. The customer cares about what the product looks like and how it works. They don’t care about how many dead lines it includes. This is the philosophy. 

The low-trained. Person is easy to replace. The problem is that. Everybody wants to be lawyers. Or. Medical doctors. Those things require high university training. And the problem is that. The entrance exams require perfect success. And before those exams. The matriculation examination requires complete success. Those things force some people to use intelligent glasses and AI to make their answers. 

This means people give up their own willingness. And their ability to think and search for information is given to AI. When the entire working life revolves around effectiveness, measured by how many successful work outputs a person can make in a certain time. That leads people to use AI in their work. They don’t check facts. They might not trust AI. But they use its information without even clicking the source link. The attitude is this. Some experts made the AI. And that means AI will not make mistakes. So, why should anybody click any sources? By thinking that way. Clicking source links is a waste of time. 

When we look at results. We. See only information. 

That we see from outside. 

We can call that information loud information. That information is collected from interactions with humans and machines. 

Statistics don’t involve silent information. Silent information is our thoughts. Things that nobody sees from the outside. If. We don’t tell that information to outsiders. That means information stays silent. 

We must realize that records and statistics involve only information that we see from outside. And an attitude that “someone else does”. Or, “who cares if it is wrong or right?” “They don’t check it anyway. “ That is a dangerous path. If people don’t dare or care to tell that somebody makes bad work. That escalates false information and bad code through the entire system. 

It doesn’t matter what we think. What we do and what others see matters. The thing that people see. It is what we do. When AI gives a wrong answer. The answer is wrong to us. Only. If we know that it is wrong. But if we still use the wrong answer. We mark it right anyway. And that is dangerous. The AI thinks in terms of statistics. And this means that. The AI can turn wrong into something that seems right. This means that, in the worst case. The entire system operates on wrong information.