Testing GPT-4 on Game State Predictions

This article explores how GPT-4 was tested on BYTESIZED32 games to generate and explain object, action, and score rules. Researchers used deterministic prompts in JSON mode and compared AI-generated rules with human-written annotations to ensure accuracy. The study reveals both the potential and limits of LLMs in understanding game dynamics, with humans still needed to validate rules and gameplay integrity.