AI and social behavior.

Social situations are hard for large language models, LLMs.

When AI tries to mimic humans sometimes it fails. The AI can seem attractive and impressive, but when we ask something there it's not programmed, or trained. The answer is "My algorithms don't allow me to answer". The reason for that answer is that the AI goes outside its box. Answers that the language model gives are programmed in it. If the virtual character is controlled by the human there is no this kind of problem. The AI and humans are the ultimate team. The real-life social situations are a little bit too complicated for the AI. 

The term " to teach, or educate the large language model, LLM" means programming. In that process, programmers teach the AI to give certain types of answers. If the answer is not in a database, the AI asks the programmer or the user how it should answer. The problem with AI and communication with people is that our communication is more complicated than just words. 

Things like sarcasm, the use of voice, and other things like body language are also connected with communication. Because the AI doesn't understand the way, how we say something can turn the meaning of the words opposite. It can give answers that don't fit in the situation. When somebody falls the cup of coffee to the computer's keyboard, and the boss says "nice". That doesn't mean that the boss likes the situation. 

When we face things like social behavior. We face things that we can predict human behavior in large groups. Just like we can predict the movements of large molecular nebulas. But when we try to predict or calculate reactions of the independent people, we face situations in which there are lots of variables in the individual person that we cannot make the AI that can play the human to people, who know that person.  

Our social, and economic background form our way of thinking. The problem with our backgrounds is that there are many things that we don't ever mention. Education happens in three places, homes, schools, and free time activities. Those things don't always communicate with each other. And there can be lots of important things that nobody else than we know. We cannot build models if we don't know all the variables. That is one of the most interesting answers to important things. 

There are so many variables that the AI should handle that it's hard to make a model of the real person. One of the things that we face is emotions. Sometimes we make things that we hate. We can smile in front of some people. And still hate that person. Hidden emotions and feelings can be very common things in professional communities, where outsiders see only things that actors want them to see. 

If somebody is been our classmate, that doesn't automatically mean that we like that person. Or, that doesn't either mean that we like each other. The AI might think that when we were classmates, we automatically liked each other. Same way if we think of dialects like slang people can say that "we hung around in the same gangs". The LLM can think that the gang is always some kind of Hell's Angels. And that makes the discussions interesting. 

The AI searches the word "gang" from the net. Then it sees articles about motorcycle gangs. After that, the AI thinks that the person "who hung in a gang" was a member of those MCs. Same way, because everybody smiles in class photos, the AI thinks that those persons automatically like each other. 

The memories that classmates bring in our memories can be far different than somebody might want. One thing that makes AI fail when it tries to mimic a real person is that it plays a person, who the opponent hates. When we start discussions with old classmates we might say "Nice to meet you". And inside our mind, we can hope that we might not want to see that person ever again. 

AI can make the virtual characters that the real person controls. In that case, the AI operates along with humans. The system can show if the opponent's voice changes. It can see if the opponent looks away from the camera. And it sees things like sweet and dirty skirts. In those cases, the AI's purpose is to support the real person's work. 

The AI can mark points. That is think as dirt or some other remarkable thing. But the responsibility is in the human user. And if a recruiter sees things like disty skirts in an interview those things can help that person to make the selection. We must realize that virtual characters can operate as tools the secret agents and intelligence services use to get confidential information. In the same way, police and other law enforcement can use virtual characters to cheat criminals to tell about their organization.