Recent advancements in artificial intelligence (AI) have propelled us closer to achieving widely available Artificial General Intelligence (AGI), a long-standing goal in the field of computer science. A new study from the Massachusetts Institute of Technology (MIT) reveals that a novel approach to abstract reasoning could be the key to unlocking this potential. This research explained by AI GRID below focuses on the Abstraction and Reasoning Corpus (ARC) benchmark, a sophisticated tool designed to test machine intelligence without relying on memorization or pattern recognition.