some of the new techniques in natural language processing that uses transformers is getting closer to understanding. Understanding may be an illusion though. I

some of the new techniques in natural language processing that uses transformers is getting closer to understanding. Understanding may be an illusion though. I wrote a game in 2002 for a class I was in, you have a space ship and you shoot alien ships. To make the game challenging, when the user was far away from the alien ships they would move randomly, if you moved in on them they moved away in a random direction, and once you got too close they would vector strait for the ship in a kamakaze attack. I also needed to figure out when the alien ships would fire back, so I just made them randomly fire when the user also fired. Given that your ship's firing range was limited, this created a dangerous scenario where you tried to chase down a ship, and at the last moment it would come right at you and fire. the point of all of this was that when people played the game, they stated "wow, the AI of this game is really good". People believed the AI was thinking when it was just a few rules. I dont suppose its impossible to be tricked into thinking something had understanding even if that something is itself. if something is complicated enough and good enough at making decisions, it seems possible its not understanding but just a sufficiently complicated process, or maybe a sufficiently complicated process is understanding