It’s a striking irony: a large language model (LLM) can churn out a functional chess engine—complete with move generation, board evaluation, and search algorithms—in a matter of seconds, yet teaching that same model to play chess at a grandmaster level is a far harder challenge.
This paradox reveals profound insights about the nature of artificial intel…


