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A recent discussion on Reddit’s r/artificial intelligence forum delves into a critical challenge for achieving Artificial General Intelligence (AGI): mastering pattern recognition using limited datasets. The thread contrasts human intuition, which excels at identifying underlying rules from sparse information, with the struggles of current machine learning models. The conversation sparks debate on the feasibility of this requirement, current advancements in the field, and the development of appropriate benchmarks to measure AGI’s proficiency in solving patterns with small data inputs. The original Reddit post can be found here: [https://old.reddit.com/r/artificial/comments/1owbya2/a_basic_capability_agi_should_have_solving_any/]