AI doesn’t make U-turns.

   AI doesn’t make U-turns. 

   

We don’t always make our best move. That means we don’t always choose the fastest way to travel between two points. We simply might like another route. We might like things that we see while we travel some other, slower route. And that is inhumane. The AI always predicts that we choose the fastest and most economical route. AI thinks that we don’t look at things like old houses. AI always predicts that we travel to some other place using the fastest route. It believes that we want to make journeys in the shortest time possible. It doesn’t think that somebody chooses a longer route, because that person wants to improve fitness. 

And that is the thing that differs AI from us. 

The difference between the human and AI approach to playing games like chess is this. The AI never plays anything for fun. Or the AI will never “kill time” with games. When humans play chess, sometimes we just move pieces on the chessboard and think of other things. AI always “thinks” that we play games to win. Not just to kill time, when we wait for things like a weekly meeting. This is one of the differences between AI and humans. When AI tries to predict things like interactions in nature. It makes things better than humans. The reason for that is simple. Everything that happens in nature happens in a linear way. When action happens. A reaction follows that action. When snow starts to fall on the slopes, that action continues until the avalanche reaches the bottom of the valley. The avalanche follows the laws of nature. It will not change its mind and start to travel backwards. 

And that is the difference between avalanches and humans. Humans can change minds. When a human starts to walk across the street, that doesn’t mean that the human will go to the other side of that street.  Humans can change their minds and make a U-turn. This is the thing. That makes human nature unpredictable. And that is one thing that evolution is made for: protecting species. And that makes humans difficult prey. When some animals hunted humans. We can run to the thing that seems like a dead end. And then put their spears against attacking animals. This way of making something unpredictable. Makes it hard to predict human behavior. 

AI follows the same marks as human psychologists when they try to read humans’ feelings. The ability to use special sensors to see how blood pressure and adrenaline levels rise. If the AI doesn’t have those sensors, it must follow body language. And the way a person speaks. In those cases, the sensor systems that the AI can use. Mean as much as AI itself. If the AI can use lie detectors. It is not very hard to make an algorithm that uncovers lies.  In that case, sensors mean more than an algorithm. 

When we see cases where somebody cheats people who serve as royal guards, we know that thing makes those people angry. Those people, with ultimate strength, can hide that emotion. We might be very angry. But in some cases. We don’t tell this to other people. Animals never hide their emotions. When human turns angry against a superior force. That means humans might not attack. Humans can flee from the field and wait for a better moment to strike. That is one of the things that makes us the ultimate species. 

Let’s go back to the chess game. The algorithm predicts that we always make the best move. And this is the algorithm’s ultimate strength. And that is the algorithm’s ultimate weakness. We might think of cases where a boxer faces many practice opponents. That boxer can win all of them easily. But then in the title fight, the opponent knocks out our boxer. In that case, we forget that. Some boxers can lose their training matches because they bet on that opponent. This means the training opponent can lose matches that nobody sees. But when there is a kind of meaning. That a person can fight differently. This is the thing that AI doesn’t always understand. Humans can save their best moves for the places where those moves mean something. So, we can think about different things than what we make.