Is it possible to produce Creative Chess Puzzles with Diffusion Models?

Although today’s powerful language models are successful in many areas, they encounter limitations in creative tasks that are connected with certain rules and are contrary to the argument. The researchers developed a new approach that uses chess puzzle production as a test environment to solve this problem.

• Maske diffusion technique: A new method is recommended for the conditional generation; the replacement of a single stone position can be invalid
• Activities and reasoning tests: Chess puzzles offer a strict assessment of computational creativity and complex logical reasoning
• Corrosion problems: Showing that artificial intelligence models are forced in numerous rules, such as Chess
• New research direction: The study explores how to solve creative problems of different architectural designs beyond language models

Chess is an ideal space to test the creativity and adaptability of AI systems. Because each move affects all the previous and next positions and there is the potential to cancel the entire solution of an error. For this reason models are not simple guess, you have to do deep strategic thinking.

Research shows that artificial intelligence systems can produce creative solutions in restricted areas by passing beyond just text generation. Implementation of Diffusion models in such complex tasks is an important step to understand the limits of AI.