The 2025 Google Code Golf Championship

The Abstraction and Reasoning Corpus remains one of the most interesting and challenging benchmarks available for tracking progress toward achieving Artificial General Intelligence. In contrast to other evaluation datasets designed to capture the extent of an agent's skill or knowledge, the ARC-AGI suite is instead targeted at measuring skill acquisition, a trait that has (so far) evaded even the most sophisticated machine learning systems. A key limitation to date has been the relatively limited number of reference programs, designed to transform image grids corresponding to example pairs in the original benchmark suite. In order to embellish the space of available solutions, the 2025 Google Code Golf Championship will present contestants with those same tasks, encouraging them to produce Python programs for each capable of exhibiting the desired behavior. Not only must these programs be functionally correct, but (as an added twist) should also be as minimal as possible. A set of concise programs emphasizing robustness and simplicity could potentially serve as canonical reference solutions for this seminal dataset, and -- once open sourced to the broader research community -- might contribute toward the development of more versatile AI systems.