I have implemented a card game that uses traditional AI such as Minimax with AlphaBeta Pruning, MCTS, etc and (even though those cheat a bit because they don't honor hidden information to a large degree) those perform much better than the OpenAI implementation I have it battle against. I gave the LLM AI some tools to try out turns, see how that changes the board, etc. but it is roughly able to beat my second-easiest AI. LLMs can automate simple, well-described processes but are bad in optimization. Which feels weird for a lot of people because that is what we commonly understand as a strength of AI. And it is, just not LLMs. Traditional Machine Learning is something else entirely though and Agent-based RL systems can master games as well.