ARC puzzle solver

This project is a standardized set of abstraction and reasoning problems designed for benchmarking the ability of artificial intelligence models to learn new rules. It functions as a fluid intelligence test and a reasoning benchmark, utilizing a collection of grid-based puzzles and a program synthesis dataset to evaluate how agents generate algorithms from examples. The project focuses on measuring general fluid intelligence and the capacity for zero-shot generalization, testing whether a system can apply learned logic to unseen problems without relying on task-specific training. It provides