The fix is to train it on this puzzle and variants of it, meaning it memorized this pattern. It still fail similar puzzles if given in a different structure, until they feed it that structure as well.
LLMs is more like programming than human intelligence, they need to program in the solution to these riddles very much like we did expert systems in the past. The main new thing we get here is natural language compatibility, but other than that the programming seems to be the same or weaker than old programming of expert systems. The other big thing is that there is already a ton of solutions on the web coded in natural language, such as all the tutorials etc, so you get all of those programs for free.
But other than that these LLMs seems to have exactly the same problems and limitations and strengths as expert systems. They don't generalize in a flexible enough manner to solve problems like a human.
LLMs is more like programming than human intelligence, they need to program in the solution to these riddles very much like we did expert systems in the past. The main new thing we get here is natural language compatibility, but other than that the programming seems to be the same or weaker than old programming of expert systems. The other big thing is that there is already a ton of solutions on the web coded in natural language, such as all the tutorials etc, so you get all of those programs for free.
But other than that these LLMs seems to have exactly the same problems and limitations and strengths as expert systems. They don't generalize in a flexible enough manner to solve problems like a human.