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Of course it can't. A car is quite powerful, it can transport multiple people and various items across a large distance. But it can't even mow the lawn.

A better example than Sudoku is chess. In order to calculate ideal chess moves, you need a sophisticated algorithm, multiple iterations and a way to have parallel processing. LLMs are as they are - you are trying to stick a lawnmower to the back of the car, which works a little at best, but it's better if you use devices for which they are good at.

The LLM itself can give you an answer to that even:

> LLMs struggle with chess because they're designed to predict likely next words, not to understand and apply strict rules or perform logical reasoning. Chess requires following precise rules, spatial thinking, and strategy—skills that don't emerge from simply predicting text patterns. This is why LLMs often "guess" illegal or nonsensical moves; they lack a true grasp of the game's mechanics.